metric_definition: tgtval-20261009-protocol-roohani2025-hitratio-round5
Descriptive fact transcribed from the pinned source.
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
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.field metric_definition Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Section 2 (problem setting), equations for hit ratio Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.source_locator Section 2 (problem setting), equations for hit ratio Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Section 2 (problem setting), equations for hit ratio Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| attributes.value A hit is a gene whose perturbation produces a phenotypic response above a threshold tau, f(g) > tau. The hit ratio after T rounds is the fraction of all such genes that the method selected, which the source describes as similar to recall. Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Section 2 (problem setting), equations for hit ratio Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| description Descriptive fact transcribed from the pinned source. Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Section 2 (problem setting), equations for hit ratio Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| Relationship: subject tgtval-20261009-protocol-roohani2025-hitratio-round5 Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Section 2 (problem setting), equations for hit ratio Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
| name metric_definition: tgtval-20261009-protocol-roohani2025-hitratio-round5 Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Section 2 (problem setting), equations for hit ratio Version: arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/extract_target_validation.py |
Sources and history
Release 2026-10-10-6e93f504adfc · Record review: source checked
1 source records and release history
- BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments · Original source · arXiv:2405.17631 version 3, updated 2025-03-09; published as a conference paper at ICLR 2025
Technical metadata and extraction receipts
Stable ID: tgtval-20261009-claim-roohani2025-hit-definition
- field
- metric_definition
- value
- A hit is a gene whose perturbation produces a phenotypic response above a threshold tau, f(g) > tau. The hit ratio after T rounds is the fraction of all such genes that the method selected, which the source describes as similar to recall.
- source locator
- Section 2 (problem setting), equations for hit ratio
- review
- method: source-hash-verification; ai-assisted-source-review; reviewer: claude; reviewer note: Separate Claude review agent, independent of the extractor; no human review claimed; reviewed at: 2026-10-09T21:22:54Z; artifact sha256: dd94d80ec75c9bb84ec3989c910a313ef1a7aec57c772d3dd35ecadd250132a7; retrieval url: https://arxiv.org/pdf/2405.17631v3; note: Hand transcription from the source text. Independent review 2026-10-09: checked against the re-downloaded PDF text; see docs/reviews/use-cases/therapeutic-target-validation-2026-10-09.md.