stratification: ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-all
Descriptive fact transcribed from the pinned source.
Evidence
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Evidence table
Inspect claims, sources and review details
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6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.field stratification Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Results P9 and P12 Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Results P9 and P12 Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Results P9 and P12 Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.value Healthy controls (n = 458) form one category; cancers are stratified by ichorCNA tumour fraction into [0, 0.03] (n = 736), (0.03, 0.1] (n = 239), (0.1, 0.2] (n = 121) and (0.2, 1] (n = 136). Models are trained and tested within each category; the [0, 0.03] category has 861 training samples (325 healthy, 536 cancer). Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Results P9 and P12 Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| description Descriptive fact transcribed from the pinned source. Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Results P9 and P12 Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: subject ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-all Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Results P9 and P12 Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| name stratification: ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-all Context-only references | A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing Results P9 and P12 Version: Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-10-10-5bcb3ccc9543 · Record review: source checked
1 source records and release history
- A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing · Original source · Science Advances 12(28):eady9432, published 2026-07-10; PMC13353424 full-text XML
Technical metadata and extraction receipts
Stable ID: ctdnafrag-20261009-claim-wang2026-tf-strata
- field
- stratification
- value
- Healthy controls (n = 458) form one category; cancers are stratified by ichorCNA tumour fraction into [0, 0.03] (n = 736), (0.03, 0.1] (n = 239), (0.1, 0.2] (n = 121) and (0.2, 1] (n = 136). Models are trained and tested within each category; the [0, 0.03] category has 861 training samples (325 healthy, 536 cancer).
- source locator
- Results P9 and P12
- review
- method: ai-assisted-source-review; method note: Compared with Results P9 (458 healthy; 736, 239, 121 and 136 cancers by ichorCNA stratum) and P12 (models trained and tested within each category; 861 training samples in [0, 0.03], 325 healthy and 536 cancer) 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: 61464a274501bb9529b2250eb4c112071b8768fa640e87cf13f14d7df9f6fb23; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC13353424/fullTextXML; note: Hand transcription checked against the article text by the independent reviewer.