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1 evaluation · 6 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: UNITE XGBoost, Short/long fragment length ratio per bin (S/L) (Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026) Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.78 accuracy fraction · higher Uncertainty: 95% CI 0.770290865851291 to 0.790428897301495. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcectdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_xgb_x1-x6, row 73 (feat 'S/L', ichorcna_strat '(0.03, 0.1]', .metric 'Accuracy'), column D 'mean' |
| Configuration: UNITE XGBoost, Short/long fragment length ratio per bin (S/L) (Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026) Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.734 auprc unitless · higher Uncertainty: 95% CI 0.717503910055244 to 0.752180227311925. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcectdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_xgb_x1-x6, row 69 (feat 'S/L', ichorcna_strat '(0.03, 0.1]', .metric 'AUPRC'), column D 'mean' |
| Configuration: UNITE XGBoost, Short/long fragment length ratio per bin (S/L) (Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026) Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.772 auroc unitless · higher Uncertainty: 95% CI 0.758037253730844 to 0.786418996254549. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcectdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_xgb_x1-x6, row 68 (feat 'S/L', ichorcna_strat '(0.03, 0.1]', .metric 'AUROC'), column D 'mean' |
| Configuration: UNITE XGBoost, Short/long fragment length ratio per bin (S/L) (Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026) Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.628 f1-score fraction · higher Uncertainty: 95% CI 0.609958933591513 to 0.646434670959473. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcectdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_xgb_x1-x6, row 72 (feat 'S/L', ichorcna_strat '(0.03, 0.1]', .metric 'F1'), column D 'mean' |
| Configuration: UNITE XGBoost, Short/long fragment length ratio per bin (S/L) (Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026) Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.521 recall fraction · higher Uncertainty: 95% CI 0.503599907990619 to 0.537957990970897. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcectdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_xgb_x1-x6, row 70 (feat 'S/L', ichorcna_strat '(0.03, 0.1]', .metric 'Sensitivity'), column D 'mean' |
| Configuration: UNITE XGBoost, Short/long fragment length ratio per bin (S/L) (Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026) Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.925 specificity fraction · higher Uncertainty: 95% CI 0.913963191967106 to 0.935602976434984. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourcectdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_xgb_x1-x6, row 71 (feat 'S/L', ichorcna_strat '(0.03, 0.1]', .metric 'Specificity'), column D 'mean' |
Source checking is not independent reproduction. Release 2026-10-09-ba02f2f4a36e.
ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct
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One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
36 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation Model trained per outer fold with inner hyperparameter search Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.adaptation Model trained per outer fold with inner hyperparameter search Context-only references | Wang et al. 2026, Data file S2 (model scores and summary statistics) Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ady9432_data_file_s2.xlsx inside sciadv.ady9432_data_files_s1_and_s2.zip, PMC open-access copy PMC13353424.1 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: artifact_sha256 is the zip as served; the member ady9432_data_file_s2.xlsx has SHA-256 32ae4ff3b7e1c85fa8662a57b45f77330e56e475f996f6489f25e36a81de65aa Archive member: ady9432_data_file_s2.xlsx |
| attributes.comparison.aggregation Mean, median, SD, 95% CI and SEM over 50 outer test folds Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.aggregation Mean, median, SD, 95% CI and SEM over 50 outer test folds Context-only references | Wang et al. 2026, Data file S2 (model scores and summary statistics) Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ady9432_data_file_s2.xlsx inside sciadv.ady9432_data_files_s1_and_s2.zip, PMC open-access copy PMC13353424.1 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: artifact_sha256 is the zip as served; the member ady9432_data_file_s2.xlsx has SHA-256 32ae4ff3b7e1c85fa8662a57b45f77330e56e475f996f6489f25e36a81de65aa Archive member: ady9432_data_file_s2.xlsx |
| attributes.comparison.budget Not reported Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.budget Not reported Context-only references | Wang et al. 2026, Data file S2 (model scores and summary statistics) Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ady9432_data_file_s2.xlsx inside sciadv.ady9432_data_files_s1_and_s2.zip, PMC open-access copy PMC13353424.1 | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: artifact_sha256 is the zip as served; the member ady9432_data_file_s2.xlsx has SHA-256 32ae4ff3b7e1c85fa8662a57b45f77330e56e475f996f6489f25e36a81de65aa Archive member: ady9432_data_file_s2.xlsx |
| attributes.comparison.dataset_version Wang et al. 2026 cross-validation set Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.dataset_version Wang et al. 2026 cross-validation set Context-only references | Wang et al. 2026, Data file S2 (model scores and summary statistics) Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ady9432_data_file_s2.xlsx inside sciadv.ady9432_data_files_s1_and_s2.zip, PMC open-access copy PMC13353424.1 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: artifact_sha256 is the zip as served; the member ady9432_data_file_s2.xlsx has SHA-256 32ae4ff3b7e1c85fa8662a57b45f77330e56e475f996f6489f25e36a81de65aa Archive member: ady9432_data_file_s2.xlsx |
| attributes.comparison.inputs Short/long fragment length ratio per bin (S/L) from 0.1x sWGS Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.comparison.inputs Short/long fragment length ratio per bin (S/L) from 0.1x sWGS Context-only references | Wang et al. 2026, Data file S2 (model scores and summary statistics) Data file S2 sheet STATS_xgb_x1-x6, rows with feat 'S/L' and ichorcna_strat '(0.03, 0.1]' Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: ady9432_data_file_s2.xlsx inside sciadv.ady9432_data_files_s1_and_s2.zip, PMC open-access copy PMC13353424.1 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: artifact_sha256 is the zip as served; the member ady9432_data_file_s2.xlsx has SHA-256 32ae4ff3b7e1c85fa8662a57b45f77330e56e475f996f6489f25e36a81de65aa Archive member: ady9432_data_file_s2.xlsx |
Release 2026-10-09-ba02f2f4a36e · Record review: source checked
Stable ID: ctdnafrag-20261009-eval-wang2026-sl-tf-3-10pct