comparison_caveat: rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets
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.
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6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.field comparison_caveat Context-only references | The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients Results 'LLMs improve on ontology-based ranking methods' paragraph 4 Version: Scientific Reports 15, published 2025-04-29; PMC12041562 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 'LLMs improve on ontology-based ranking methods' paragraph 4 Context-only references | The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients Results 'LLMs improve on ontology-based ranking methods' paragraph 4 Version: Scientific Reports 15, published 2025-04-29; PMC12041562 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 In the case of ClinVar, we used the HPO phenotypes as input for ranking; these phenotypes are identical to the phenotypes associated with the causative gene in the database used by Exomiser, and this may bias the results. Context-only references | The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients Results 'LLMs improve on ontology-based ranking methods' paragraph 4 Version: Scientific Reports 15, published 2025-04-29; PMC12041562 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 | The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients Results 'LLMs improve on ontology-based ranking methods' paragraph 4 Version: Scientific Reports 15, published 2025-04-29; PMC12041562 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 rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets Context-only references | The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients Results 'LLMs improve on ontology-based ranking methods' paragraph 4 Version: Scientific Reports 15, published 2025-04-29; PMC12041562 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 comparison_caveat: rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets Context-only references | The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients Results 'LLMs improve on ontology-based ranking methods' paragraph 4 Version: Scientific Reports 15, published 2025-04-29; PMC12041562 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
- The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Original source · Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Technical metadata and extraction receipts
Stable ID: rare-ranking-20261009-claim-kafkas2025-clinvar-bias
- field
- comparison_caveat
- value
- In the case of ClinVar, we used the HPO phenotypes as input for ranking; these phenotypes are identical to the phenotypes associated with the causative gene in the database used by Exomiser, and this may bias the results.
- source locator
- Results 'LLMs improve on ontology-based ranking methods' paragraph 4
- review
- method: source-hash-verification; ai-assisted-source-review; method note: Re-downloaded the article XML and matched its SHA-256, extracted the cited paragraphs with a separate parser and compared the claim text with them.; reviewer: claude; reviewer note: Separate Claude review agent, independent of the extractor; no human review claimed; date: 2026-10-09; artifact sha256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12041562/fullTextXML; note: Hand transcription from the article text. Independent review 2026-10-09: Matches Results 'LLMs improve on ontology-based ranking methods' paragraph 4 verbatim.