rewirebio.iobenchmarks
Evidence claim

metric_implementation: ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc

Descriptive fact transcribed from the pinned source.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

6 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-10-7b8f80935f90
Property and statementOriginal source and locationReview and provenance
attributes.field
metric_implementation
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)

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

Audit details

Field: attributes.field

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.source_locator
Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)

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

Audit details

Field: attributes.source_locator

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.value
Models were built with scikit-learn support vector machines with default parameters (XGBoost from the xgboost library for the comparison models); evaluation used 10 repeats of 10-fold cross-validation, with AUC and sensitivity at 95% and 85% specificity as the primary metrics.
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)

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

Audit details

Field: attributes.value

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

description
Descriptive fact transcribed from the pinned source.
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)

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

Audit details

Field: description

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Relationship: subject
ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)

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

Audit details

Field: links:subject:ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

name
metric_implementation: ctdnafrag-20261009-protocol-hou2024-cristiano-pancan-cv-auc
Context-only references
Systematically Evaluating Cell-Free DNA Fragmentation Patterns for Cancer Diagnosis and Enhanced Cancer Detection via Integrating Multiple Fragmentation Patterns

Original source ↗

Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)

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

Audit details

Field: name

Source artifact SHA-256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

Release 2026-10-10-7b8f80935f90 · Record review: source checked

1 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: ctdnafrag-20261009-claim-hou2024-classifier

field
metric_implementation
value
Models were built with scikit-learn support vector machines with default parameters (XGBoost from the xgboost library for the comparison models); evaluation used 10 repeats of 10-fold cross-validation, with AUC and sensitivity at 95% and 85% specificity as the primary metrics.
source locator
Experimental Section 'Classification Model Construction' (P41) and 'Classification Model Evaluation' (P44-P45)
review
method: ai-assisted-source-review; method note: Compared with Experimental Section P41 (SVM default parameters; XGBoost from the xgboost library for comparison models), P44 (10 times 10-fold cross-validation) and P45 (AUC and sensitivity at 95% and 85% specificity) of a fresh copy of the article XML. Correct as worded.; reviewer: claude; reviewer note: Separate Claude review agent, independent of the extractor; no human review claimed; date: 2026-10-09; artifact sha256: d029fc9d593a70fc350fa86cf1c6393ab5121479396b448ea2c0cdd87b6ace70; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11321639/fullTextXML; note: Hand transcription checked against the article text by the independent reviewer.
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