Evaluation

OCF (open chromatin), Cristiano cohort cross-validation

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Evaluation results

1 evaluation · 22 results. Different protocols are not a single leaderboard.

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.963 auroc unitless · higher Uncertainty: 95% CI 0.9548 to 0.9702 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C19; group 'BRCA'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.835 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8028 to 0.8666 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E19; group 'BRCA'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.763 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.7207 to 0.8046 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D19; group 'BRCA'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.935 auroc unitless · higher Uncertainty: 95% CI 0.9184 to 0.9519 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C29; group 'CHOL'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.733 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.6768 to 0.7899 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E29; group 'CHOL'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.65 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.5891 to 0.7109 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D29; group 'CHOL'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.987 auroc unitless · higher Uncertainty: 95% CI 0.9807 to 0.9937 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C39; group 'CRC'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.94 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.9065 to 0.9735 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E39; group 'CRC'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.895 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.8540 to 0.9360 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D39; group 'CRC'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.985 auroc unitless · higher Uncertainty: 95% CI 0.9649 to 1.0000 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C59; group 'NSCLC'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.96 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.9216 to 0.9984 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E59; group 'NSCLC'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.905 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.8484 to 0.9616 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D59; group 'NSCLC'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.984 auroc unitless · higher Uncertainty: 95% CI 0.9795 to 0.9885 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C69; group 'OV'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.92 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8869 to 0.9531 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E69; group 'OV'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.8 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.7547 to 0.8453 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D69; group 'OV'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.834 auroc unitless · higher Uncertainty: 95% CI 0.8032 to 0.8643 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C79; group 'PAAD'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.621 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.5661 to 0.6756 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E79; group 'PAAD'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.547 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.4896 to 0.6054 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D79; group 'PAAD'; row 'OCF'; column 'Sensitivity @95% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.947 auroc unitless · higher Uncertainty: 95% CI 0.9399 to 0.9536 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C9; group 'PANCAN'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.946 auroc unitless · higher Uncertainty: 95% CI 0.9253 to 0.9666 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, C49; group 'STAD'; row 'OCF'; column 'AUC'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.867 sensitivity-at-85-percent-specificity fraction · higher Uncertainty: 95% CI 0.8251 to 0.9082 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, E49; group 'STAD'; row 'OCF'; column 'Sensitivity @85% specificity'
Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)	Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2) Dataset: DELFI 2019 internally cross-validated cancer detection cohort	0.803 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.7514 to 0.8553 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source OCF (open chromatin), Cristiano cohort cross-validation ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity Aggregation: Not reported Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns; Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Supporting Information sheet S2, D49; group 'STAD'; row 'OCF'; column 'Sensitivity @95% specificity'

Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.

Evaluation procedure

ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity

Configuration: Orientation-aware cell-free fragmentation (OCF), open chromatin regions, SVM (Hou et al. 2024)
Protocol: Hou et al. 2024 Cristiano cohort cross-validation, pan-cancer and seven cancer types (Table S2)
Dataset: DELFI 2019 internally cross-validated cancer detection cohort

origin: Independent external evaluation
configuration: Primary source as retrieved 2026-10-09
protocol id: ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity
dataset version: Cristiano et al. 2019 cohort, fragment files from FinaleDB
split: 10 repeats of 10-fold cross-validation
population: Pan-cancer (208) and each of seven cancer types vs 215 healthy individuals
inputs: OCF features in open chromatin regions
adaptation: SVM trained per fold and per comparison
metric implementation: Not reported
aggregation: Mean with 95% CI
budget: Not reported

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split: 10 repeats of 10-fold cross-validation
Adaptation: SVM trained per fold and per comparison
Scoring implementation: Not reported

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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Evidence table

Inspect claims, sources and review details

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36 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-ba02f2f4a36e
Property and statement	Original source and location	Review and provenance
attributes.comparison.adaptation SVM trained per fold and per comparison Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML Retrieved: 2026-10-09T20:27:02Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.adaptation SVM trained per fold and per comparison Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Mean with 95% CI Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML Retrieved: 2026-10-09T20:27:02Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Mean with 95% CI Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML Retrieved: 2026-10-09T20:27:02Z	missing or unspecified No individual claim review recorded independent paper Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	missing or unspecified No individual claim review recorded independent paper Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version Cristiano et al. 2019 cohort, fragment files from FinaleDB Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML Retrieved: 2026-10-09T20:27:02Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version Cristiano et al. 2019 cohort, fragment files from FinaleDB Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs OCF features in open chromatin regions Context-only references	Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML Retrieved: 2026-10-09T20:27:02Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs OCF features in open chromatin regions Context-only references	Hou et al. 2024, Supporting Information workbook (Tables S1-S15) Original source ↗ Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1 Retrieved: 2026-10-09T20:20:39Z	not individually reviewed No individual claim review recorded independent paper Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `41b24f7e6bcb9bea6127a249127a4c4d53e8ea42b50e95242054791511695fb0` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-10-09-ba02f2f4a36e · Record review: source checked

2 source records and release history

Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns · Original source · Advanced Science 11(30):e2308243, published 2024-06-17; PMC11321639 full-text XML
Hou et al. 2024, Supporting Information workbook (Tables S1-S15) · Original source · ADVS-11-2308243-s001.xlsx, PMC open-access copy PMC11321639.1

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Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-eval-hou2024-s2-ocf-cristiano

areas: dna-genomes
contexts: clinical_research
origin: independent_paper
protocol: ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity
version: Primary source as retrieved 2026-10-09
comparison: protocol id: ctdnafrag-20261009-protocol-hou2024-cristiano-cv-sensitivity; dataset version: Cristiano et al. 2019 cohort, fragment files from FinaleDB; split: 10 repeats of 10-fold cross-validation; population: Pan-cancer (208) and each of seven cancer types vs 215 healthy individuals; inputs: OCF features in open chromatin regions; adaptation: SVM trained per fold and per comparison; metric implementation: Not reported; aggregation: Mean with 95% CI; budget: Not reported
source locator: Supporting Information Table S2, row 'OCF' in each of groups PANCAN to PAAD
missing metadata: comparison.metric implementation: reason: unreported

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