reported_summary: regulatory-variant-20261009-protocol-manzo2025-k562-pearson
Descriptive fact transcribed from the pinned source.
Evidence
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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
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.field reported_summary Context-only references | Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 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 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Context-only references | Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 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 Results 2.1 reports averages across nine dataset-level Pearson correlations: TREDNet 0.297, ChromBPNet 0.289, SEI 0.276; Nucleotide Transformer v2 0.105. These averages are not the per-cell-line values of Table 1. Results 2.3 gives other values (TREDNet 0.318, SEI 0.295). The text after Table 1 says Enformer (0.245) ranks second in HeLa only to SEI (0.279), while Table 1 prints SEI 0.280 and ChromBPNet 0.289 for HeLa. Context-only references | Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 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 | Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 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 regulatory-variant-20261009-protocol-manzo2025-k562-pearson Context-only references | Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 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 reported_summary: regulatory-variant-20261009-protocol-manzo2025-k562-pearson Context-only references | Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3 Version: Genes 16(10):1223, published 2025-10-15; PMC12562713 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 2026-10-10-6e93f504adfc · Record review: source checked
1 source records and release history
- Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants · Original source · Genes 16(10):1223, published 2025-10-15; PMC12562713 full-text XML
Technical metadata and extraction receipts
Stable ID: regulatory-variant-20261009-claim-manzo2025-prose-averages
- field
- reported_summary
- value
- Results 2.1 reports averages across nine dataset-level Pearson correlations: TREDNet 0.297, ChromBPNet 0.289, SEI 0.276; Nucleotide Transformer v2 0.105. These averages are not the per-cell-line values of Table 1. Results 2.3 gives other values (TREDNet 0.318, SEI 0.295). The text after Table 1 says Enformer (0.245) ranks second in HeLa only to SEI (0.279), while Table 1 prints SEI 0.280 and ChromBPNet 0.289 for HeLa.
- source locator
- Results 2.1 paragraph 5; Results 2.2 paragraph after Table 1; Results 2.3 paragraph 3
- review
- method: source-hash-verification; ai-assisted-source-review; method note: Re-downloaded the article XML, matched its SHA-256 and read the cited paragraphs with the reviewer's own JATS text extractor.; reviewer: claude; reviewer note: Separate Claude review agent, independent of the extractor; no human review claimed; date: 2026-10-09; artifact sha256: c49e7cef821d7c1a7966db9922b58c2f51d852df13f5cdc3969bf54818e5ed9e; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12562713/fullTextXML; note: Hand transcription from the article text. Pending independent review. Independent review 2026-10-09: Values match; the averages are in Results 2.1 paragraph 5, not paragraph 2 as first recorded. Added the Results 2.3 values and the HeLa ranking conflict.