rewirebio.iobenchmarks
Dataset

ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)

Genotype-phenotype pairs combined with randomly chosen genes into candidate gene sets of 5 to 100 genes.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-10-10-6e93f504adfc · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • metric replay: verification is missing

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • metric replay: verification is missing
  • annotations: verification is missing
  • dependence: verification is missing

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • recipe pinned: verification is missing
  • resource estimate: verification is missing

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • artifact hashes: verification is missing
  • join integrity: verification is missing
  • score semantics: verification is missing
  • independent validation: verification is missing
  • overlap checked: verification is missing

Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Read reviewed discrepancy investigations

Evaluation results

3 evaluations · 60 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.766 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'AUPR', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.93 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'ROC AUC', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
82% top-1-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'Hits@1 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
85% top-10-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'Hits@10 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.799 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 25, 'AUPR', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.938 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 25, 'ROC AUC', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
84% top-1-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 25, 'Hits@1 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
91% top-10-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 25, 'Hits@10 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.889 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 5, 'AUPR', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.967 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 5, 'ROC AUC', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
89% top-1-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 5, 'Hits@1 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
100% top-10-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 5, 'Hits@10 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.789 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 50, 'AUPR', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.936 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 50, 'ROC AUC', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
84% top-1-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 50, 'Hits@1 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
91% top-10-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 50, 'Hits@10 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.771 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 75, 'AUPR', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.932 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 75, 'ROC AUC', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
82% top-1-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 75, 'Hits@1 (%)', column 'ClinVar' 'Exomiser'
Configuration: Exomiser 12.1.0 'Exomiser score' gene ranking (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
86% top-10-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Exomiser on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 75, 'Hits@10 (%)', column 'ClinVar' 'Exomiser'
Configuration: GPT-4 (gpt-4-1106-preview), one-shot chain-of-thought prompt Q4 (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.668 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GPT-4 One shot on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'AUPR', column 'ClinVar' 'GPT-4' 'One shot'
Configuration: GPT-4 (gpt-4-1106-preview), one-shot chain-of-thought prompt Q4 (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.929 auroc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GPT-4 One shot on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'ROC AUC', column 'ClinVar' 'GPT-4' 'One shot'
Configuration: GPT-4 (gpt-4-1106-preview), one-shot chain-of-thought prompt Q4 (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
70% top-1-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GPT-4 One shot on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'Hits@1 (%)', column 'ClinVar' 'GPT-4' 'One shot'
Configuration: GPT-4 (gpt-4-1106-preview), one-shot chain-of-thought prompt Q4 (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
89% top-10-accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GPT-4 One shot on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 100, 'Hits@10 (%)', column 'ClinVar' 'GPT-4' 'One shot'
Configuration: GPT-4 (gpt-4-1106-preview), one-shot chain-of-thought prompt Q4 (Kafkas et al. 2025)Protocol: Ranking the causative gene within synthetic candidate sets of 5 to 100 genes, ClinVar (Kafkas et al. 2025 Table 3)
Dataset: ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
0.856 auprc
fraction · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

GPT-4 One shot on ClinVar candidate gene sets

rare-ranking-20261009-protocol-kafkas2025-clinvar-gene-sets

Aggregation: Not reported

The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients · Table 3 row Size 25, 'AUPR', column 'ClinVar' 'GPT-4' 'One shot'

Source checking is not independent reproduction. Release 2026-10-10-6e93f504adfc.

Dataset and evaluation context

A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.

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 2026-10-10-6e93f504adfc
Property and statementOriginal source and locationReview and provenance
attributes.population
ClinVar variants added 2 July to 7 October 2023, 100 genes; candidate sets built by adding random genes to the causative gene
Context-only references
The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients

Original source ↗

Methods 'Datasets used'

Version: Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Retrieved: 2026-10-09T21:20:27Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.population

Source artifact SHA-256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b

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

Inspected artifact

attributes.source_locator
Methods 'Datasets used'
Context-only references
The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients

Original source ↗

Methods 'Datasets used'

Version: Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Retrieved: 2026-10-09T21:20:27Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b

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

Inspected artifact

attributes.split
No split
Context-only references
The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients

Original source ↗

Methods 'Datasets used'

Version: Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Retrieved: 2026-10-09T21:20:27Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.split

Source artifact SHA-256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b

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

Inspected artifact

attributes.version
As published
Context-only references
The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients

Original source ↗

Methods 'Datasets used'

Version: Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Retrieved: 2026-10-09T21:20:27Z

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.version

Source artifact SHA-256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b

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

Inspected artifact

description
Genotype-phenotype pairs combined with randomly chosen genes into candidate gene sets of 5 to 100 genes.
Context-only references
The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients

Original source ↗

Methods 'Datasets used'

Version: Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Retrieved: 2026-10-09T21:20:27Z

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b

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

Inspected artifact

name
ClinVar variants added 2 July to 7 October 2023, 100 genes (Kafkas et al. 2025)
Context-only references
The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients

Original source ↗

Methods 'Datasets used'

Version: Scientific Reports 15, published 2025-04-29; PMC12041562 full-text XML
Retrieved: 2026-10-09T21:20:27Z

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: 75851f55d59fb0f194ca8bbcf10f47b6f593e8658239dc0fb85f5d2844236a3b

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

Inspected artifact

Sources and history

Release 2026-10-10-6e93f504adfc · Record review: source checked

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

Stable ID: rare-ranking-20261009-data-kafkas2025-clinvar

areas
dna-genomes
contexts
clinical_research
version
As published
population
ClinVar variants added 2 July to 7 October 2023, 100 genes; candidate sets built by adding random genes to the causative gene
split
No split
source locator
Methods 'Datasets used'
Related records

Suggest a correction