Relevance of tgtval-20261009-protocol-roohani2025-hitratio-round5 to "Which targets should I test to change a defined disease-relevant phenotype?"
- Use case
- Select therapeutic targets for validation
- Assessed by
- BioDiscoveryAgent 1-gene perturbation design: hit ratio after 5 rounds of 128 genes
- Relevance
- Proxy evidence
- Endpoint
- Hit ratio after 5 rounds of 128 selected genes, over all genes and over non-essential genes only, for 20 selection methods on six CRISPR screens: random selection, a human pathway baseline, seven acquisition functions, DiscoBAX, nine LLM agents and one hybrid
Compares many target-selection methods on the same measured screens for a defined phenotypic readout, which is the use case's question in retrospective form. It is proxy evidence: the screens are replayed offline rather than tested prospectively, the candidate pool is limited to genes each screen assayed, and recovering a screen's hits is not the same as a target being worth pursuing.
120 reviewed evaluations
- Badge on Carnev. (Roohani et al. 2025)
- Badge on CAR-T (Roohani et al. 2025)
- Badge on Sanchez (Roohani et al. 2025)
- Badge on Scharen. (Roohani et al. 2025)
- Badge on Schmidt1 (Roohani et al. 2025)
- Badge on Schmidt2 (Roohani et al. 2025)
- Claude 3.5 Sonnet on Carnev. (Roohani et al. 2025)
- Claude 3.5 Sonnet on CAR-T (Roohani et al. 2025)
- Claude 3.5 Sonnet on Sanchez (Roohani et al. 2025)
- Claude 3.5 Sonnet on Scharen. (Roohani et al. 2025)
- Claude 3.5 Sonnet on Schmidt1 (Roohani et al. 2025)
- Claude 3.5 Sonnet on Schmidt2 (Roohani et al. 2025)
- Claude 3 Haiku on Carnev. (Roohani et al. 2025)
- Claude 3 Haiku on CAR-T (Roohani et al. 2025)
- Claude 3 Haiku on Sanchez (Roohani et al. 2025)
- Claude 3 Haiku on Scharen. (Roohani et al. 2025)
- Claude 3 Haiku on Schmidt1 (Roohani et al. 2025)
- Claude 3 Haiku on Schmidt2 (Roohani et al. 2025)
- Claude 3 Opus on Carnev. (Roohani et al. 2025)
- Claude 3 Opus on CAR-T (Roohani et al. 2025)
- Claude 3 Opus on Sanchez (Roohani et al. 2025)
- Claude 3 Opus on Scharen. (Roohani et al. 2025)
- Claude 3 Opus on Schmidt1 (Roohani et al. 2025)
- Claude 3 Opus on Schmidt2 (Roohani et al. 2025)
- Claude 3 Sonnet on Carnev. (Roohani et al. 2025)
- Claude 3 Sonnet on CAR-T (Roohani et al. 2025)
- Claude 3 Sonnet on Sanchez (Roohani et al. 2025)
- Claude 3 Sonnet on Scharen. (Roohani et al. 2025)
- Claude 3 Sonnet on Schmidt1 (Roohani et al. 2025)
- Claude 3 Sonnet on Schmidt2 (Roohani et al. 2025)
- Claude v1 on Carnev. (Roohani et al. 2025)
- Claude v1 on CAR-T (Roohani et al. 2025)
- Claude v1 on Sanchez (Roohani et al. 2025)
- Claude v1 on Scharen. (Roohani et al. 2025)
- Claude v1 on Schmidt1 (Roohani et al. 2025)
- Claude v1 on Schmidt2 (Roohani et al. 2025)
- Coreset on Carnev. (Roohani et al. 2025)
- Coreset on CAR-T (Roohani et al. 2025)
- Coreset on Sanchez (Roohani et al. 2025)
- Coreset on Scharen. (Roohani et al. 2025)
- Coreset on Schmidt1 (Roohani et al. 2025)
- Coreset on Schmidt2 (Roohani et al. 2025)
- DiscoBax on Carnev. (Roohani et al. 2025)
- DiscoBax on CAR-T (Roohani et al. 2025)
- DiscoBax on Sanchez (Roohani et al. 2025)
- DiscoBax on Scharen. (Roohani et al. 2025)
- DiscoBax on Schmidt1 (Roohani et al. 2025)
- DiscoBax on Schmidt2 (Roohani et al. 2025)
- GPT-3.5-Turbo on Carnev. (Roohani et al. 2025)
- GPT-3.5-Turbo on CAR-T (Roohani et al. 2025)
- GPT-3.5-Turbo on Sanchez (Roohani et al. 2025)
- GPT-3.5-Turbo on Scharen. (Roohani et al. 2025)
- GPT-3.5-Turbo on Schmidt1 (Roohani et al. 2025)
- GPT-3.5-Turbo on Schmidt2 (Roohani et al. 2025)
- GPT-4o on Carnev. (Roohani et al. 2025)
- GPT-4o on CAR-T (Roohani et al. 2025)
- GPT-4o on Sanchez (Roohani et al. 2025)
- GPT-4o on Scharen. (Roohani et al. 2025)
- GPT-4o on Schmidt1 (Roohani et al. 2025)
- GPT-4o on Schmidt2 (Roohani et al. 2025)
- Human on Carnev. (Roohani et al. 2025)
- Human on CAR-T (Roohani et al. 2025)
- Human on Sanchez (Roohani et al. 2025)
- Human on Scharen. (Roohani et al. 2025)
- Human on Schmidt1 (Roohani et al. 2025)
- Human on Schmidt2 (Roohani et al. 2025)
- K-Means (D) on Carnev. (Roohani et al. 2025)
- K-Means (D) on CAR-T (Roohani et al. 2025)
- K-Means (D) on Sanchez (Roohani et al. 2025)
- K-Means (D) on Scharen. (Roohani et al. 2025)
- K-Means (D) on Schmidt1 (Roohani et al. 2025)
- K-Means (D) on Schmidt2 (Roohani et al. 2025)
- K-Means (E) on Carnev. (Roohani et al. 2025)
- K-Means (E) on CAR-T (Roohani et al. 2025)
- K-Means (E) on Sanchez (Roohani et al. 2025)
- K-Means (E) on Scharen. (Roohani et al. 2025)
- K-Means (E) on Schmidt1 (Roohani et al. 2025)
- K-Means (E) on Schmidt2 (Roohani et al. 2025)
- Margin Sample on Carnev. (Roohani et al. 2025)
- Margin Sample on CAR-T (Roohani et al. 2025)
- Margin Sample on Sanchez (Roohani et al. 2025)
- Margin Sample on Scharen. (Roohani et al. 2025)
- Margin Sample on Schmidt1 (Roohani et al. 2025)
- Margin Sample on Schmidt2 (Roohani et al. 2025)
- o1-mini on Carnev. (Roohani et al. 2025)
- o1-mini on CAR-T (Roohani et al. 2025)
- o1-mini on Sanchez (Roohani et al. 2025)
- o1-mini on Scharen. (Roohani et al. 2025)
- o1-mini on Schmidt1 (Roohani et al. 2025)
- o1-mini on Schmidt2 (Roohani et al. 2025)
- o1-preview on Carnev. (Roohani et al. 2025)
- o1-preview on CAR-T (Roohani et al. 2025)
- o1-preview on Sanchez (Roohani et al. 2025)
- o1-preview on Scharen. (Roohani et al. 2025)
- o1-preview on Schmidt1 (Roohani et al. 2025)
- o1-preview on Schmidt2 (Roohani et al. 2025)
- Random on Carnev. (Roohani et al. 2025)
- Random on CAR-T (Roohani et al. 2025)
- Random on Sanchez (Roohani et al. 2025)
- Random on Scharen. (Roohani et al. 2025)
- Random on Schmidt1 (Roohani et al. 2025)
- Random on Schmidt2 (Roohani et al. 2025)
- Soft Uncertain on Carnev. (Roohani et al. 2025)
- Soft Uncertain on CAR-T (Roohani et al. 2025)
- Soft Uncertain on Sanchez (Roohani et al. 2025)
- Soft Uncertain on Scharen. (Roohani et al. 2025)
- Soft Uncertain on Schmidt1 (Roohani et al. 2025)
- Soft Uncertain on Schmidt2 (Roohani et al. 2025)
- Sonnet + Coreset on Carnev. (Roohani et al. 2025)
- Sonnet + Coreset on CAR-T (Roohani et al. 2025)
- Sonnet + Coreset on Sanchez (Roohani et al. 2025)
- Sonnet + Coreset on Scharen. (Roohani et al. 2025)
- Sonnet + Coreset on Schmidt1 (Roohani et al. 2025)
- Sonnet + Coreset on Schmidt2 (Roohani et al. 2025)
- Top Uncertain on Carnev. (Roohani et al. 2025)
- Top Uncertain on CAR-T (Roohani et al. 2025)
- Top Uncertain on Sanchez (Roohani et al. 2025)
- Top Uncertain on Scharen. (Roohani et al. 2025)
- Top Uncertain on Schmidt1 (Roohani et al. 2025)
- Top Uncertain on Schmidt2 (Roohani et al. 2025)
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.
18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
Citation locations1 values
| BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
| Comparison group roohani2025-perturbation-design Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
| Comparison title BioDiscoveryAgent benchmark: hit ratio on six CRISPR screens (developer-run) Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
Constraints3 values
| BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
| Endpoint Hit ratio after 5 rounds of 128 selected genes, over all genes and over non-essential genes only, for 20 selection methods on six CRISPR screens: random selection, a human pathway baseline, seven acquisition functions, DiscoBAX, nine LLM agents and one hybrid Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
| Claimed field links:assessed_by:tgtval-20261009-protocol-roohani2025-hitratio-round5 Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
| Headline metric recall Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
Limitations6 values
| BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
Pinned records363 values
| BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 |
| Rationale Compares many target-selection methods on the same measured screens for a defined phenotypic readout, which is the use case's question in retrospective form. It is proxy evidence: the screens are replayed offline rather than tested prospectively, the candidate pool is limited to genes each screen assayed, and recovering a screen's hits is not the same as a target being worth pursuing. Negatives are genes the screen assayed whose measured response did not meet its significance criterion. Genes the screen did not assay are excluded from the candidate pool, so the benchmark never treats an untested gene as a negative; it also never tests whether a method would have found a target outside that pool. The agent's developers ran every row, and patent applications have been filed on the findings. Context-only references | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7 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 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record 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: use-case-mapping-target-validation-20261009-roohani2025-hitratio
- field
- links:assessed_by:tgtval-20261009-protocol-roohani2025-hitratio-round5
- value
- tgtval-20261009-protocol-roohani2025-hitratio-round5
- relevance
- proxy
- endpoint
- Hit ratio after 5 rounds of 128 selected genes, over all genes and over non-essential genes only, for 20 selection methods on six CRISPR screens: random selection, a human pathway baseline, seven acquisition functions, DiscoBAX, nine LLM agents and one hybrid
- rationale
- Compares many target-selection methods on the same measured screens for a defined phenotypic readout, which is the use case's question in retrospective form. It is proxy evidence: the screens are replayed offline rather than tested prospectively, the candidate pool is limited to genes each screen assayed, and recovering a screen's hits is not the same as a target being worth pursuing. Negatives are genes the screen assayed whose measured response did not meet its significance criterion. Genes the screen did not assay are excluded from the candidate pool, so the benchmark never treats an untested gene as a negative; it also never tests whether a method would have found a target outside that pool. The agent's developers ran every row, and patent applications have been filed on the findings.
- constraints
- Inspect every linked evaluation's source locator and preserved limitations before citing a result.; Do not combine this mapping's evaluations with any other protocol's results; screens, hit definitions, candidate pools and metrics differ.; Genes absent from a screen's candidate pool are untested, not negative, and no result here says otherwise.
- limitations
- Offline replay of six existing screens: the candidate pool is the genes each screen assayed, so untested genes are absent rather than negative.; Hit ratio measures recovery of that screen's own hits, not whether a target is useful.; Hits are defined by a threshold tau on the screen's phenotypic response; the source does not print tau or the hit count per screen.; All rows were run by the agent's developers. Two authors (Steinhart, Marson) are authors of the Schmidt et al. 2022 screens, the CAR-T screen is unpublished, and the conflicts statement says patent applications have been filed on the findings.; Gupta et al. 2025 report that the same agent performs about the same when its experimental feedback is replaced by randomly permuted outcomes: in their Table 1 the permuted variant scores at least as high on three of five screens with each of three backbones. These numbers should not be read as evidence that the agent learns from each round's results.; No linked benchmark here runs a prospective validation batch or measures target usefulness, dependency, tractability, therapeutic window or patient benefit.
- citation locators
- source id: tgtval-20261009-source-roohani2025; locator: Sections 2 and 4.1; Table 1; appendix Table 7
- source locator
- tgtval-20261009-source-roohani2025: Sections 2 and 4.1; Table 1; appendix Table 7
- revision
- 1
- reason
- Add primary-source target-prioritisation comparisons from the therapeutic target validation use-case pass 2026-10-09.
- comparison group
- roohani2025-perturbation-design
- comparison title
- BioDiscoveryAgent benchmark: hit ratio on six CRISPR screens (developer-run)
- headline metric
- recall
- reviewed evaluations
- tgtval-20261009-eval-roohani2025-badge-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-badge-cart-proliferation; tgtval-20261009-eval-roohani2025-badge-sanchez2021-tau; tgtval-20261009-eval-roohani2025-badge-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-badge-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-badge-schmidt2022-il2; tgtval-20261009-eval-roohani2025-claude-3-5-sonnet-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-claude-3-5-sonnet-cart-proliferation; tgtval-20261009-eval-roohani2025-claude-3-5-sonnet-sanchez2021-tau; tgtval-20261009-eval-roohani2025-claude-3-5-sonnet-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-claude-3-5-sonnet-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-claude-3-5-sonnet-schmidt2022-il2; tgtval-20261009-eval-roohani2025-claude-3-haiku-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-claude-3-haiku-cart-proliferation; tgtval-20261009-eval-roohani2025-claude-3-haiku-sanchez2021-tau; tgtval-20261009-eval-roohani2025-claude-3-haiku-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-claude-3-haiku-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-claude-3-haiku-schmidt2022-il2; tgtval-20261009-eval-roohani2025-claude-3-opus-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-claude-3-opus-cart-proliferation; tgtval-20261009-eval-roohani2025-claude-3-opus-sanchez2021-tau; tgtval-20261009-eval-roohani2025-claude-3-opus-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-claude-3-opus-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-claude-3-opus-schmidt2022-il2; tgtval-20261009-eval-roohani2025-claude-3-sonnet-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-claude-3-sonnet-cart-proliferation; tgtval-20261009-eval-roohani2025-claude-3-sonnet-sanchez2021-tau; tgtval-20261009-eval-roohani2025-claude-3-sonnet-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-claude-3-sonnet-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-claude-3-sonnet-schmidt2022-il2; tgtval-20261009-eval-roohani2025-claude-v1-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-claude-v1-cart-proliferation; tgtval-20261009-eval-roohani2025-claude-v1-sanchez2021-tau; tgtval-20261009-eval-roohani2025-claude-v1-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-claude-v1-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-claude-v1-schmidt2022-il2; tgtval-20261009-eval-roohani2025-coreset-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-coreset-cart-proliferation; tgtval-20261009-eval-roohani2025-coreset-sanchez2021-tau; tgtval-20261009-eval-roohani2025-coreset-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-coreset-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-coreset-schmidt2022-il2; tgtval-20261009-eval-roohani2025-discobax-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-discobax-cart-proliferation; tgtval-20261009-eval-roohani2025-discobax-sanchez2021-tau; tgtval-20261009-eval-roohani2025-discobax-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-discobax-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-discobax-schmidt2022-il2; tgtval-20261009-eval-roohani2025-gpt-3-5-turbo-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-gpt-3-5-turbo-cart-proliferation; tgtval-20261009-eval-roohani2025-gpt-3-5-turbo-sanchez2021-tau; tgtval-20261009-eval-roohani2025-gpt-3-5-turbo-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-gpt-3-5-turbo-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-gpt-3-5-turbo-schmidt2022-il2; tgtval-20261009-eval-roohani2025-gpt-4o-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-gpt-4o-cart-proliferation; tgtval-20261009-eval-roohani2025-gpt-4o-sanchez2021-tau; tgtval-20261009-eval-roohani2025-gpt-4o-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-gpt-4o-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-gpt-4o-schmidt2022-il2; tgtval-20261009-eval-roohani2025-human-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-human-cart-proliferation; tgtval-20261009-eval-roohani2025-human-sanchez2021-tau; tgtval-20261009-eval-roohani2025-human-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-human-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-human-schmidt2022-il2; tgtval-20261009-eval-roohani2025-k-means-d-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-k-means-d-cart-proliferation; tgtval-20261009-eval-roohani2025-k-means-d-sanchez2021-tau; tgtval-20261009-eval-roohani2025-k-means-d-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-k-means-d-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-k-means-d-schmidt2022-il2; tgtval-20261009-eval-roohani2025-k-means-e-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-k-means-e-cart-proliferation; tgtval-20261009-eval-roohani2025-k-means-e-sanchez2021-tau; tgtval-20261009-eval-roohani2025-k-means-e-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-k-means-e-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-k-means-e-schmidt2022-il2; tgtval-20261009-eval-roohani2025-margin-sample-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-margin-sample-cart-proliferation; tgtval-20261009-eval-roohani2025-margin-sample-sanchez2021-tau; tgtval-20261009-eval-roohani2025-margin-sample-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-margin-sample-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-margin-sample-schmidt2022-il2; tgtval-20261009-eval-roohani2025-o1-mini-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-o1-mini-cart-proliferation; tgtval-20261009-eval-roohani2025-o1-mini-sanchez2021-tau; tgtval-20261009-eval-roohani2025-o1-mini-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-o1-mini-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-o1-mini-schmidt2022-il2; tgtval-20261009-eval-roohani2025-o1-preview-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-o1-preview-cart-proliferation; tgtval-20261009-eval-roohani2025-o1-preview-sanchez2021-tau; tgtval-20261009-eval-roohani2025-o1-preview-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-o1-preview-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-o1-preview-schmidt2022-il2; tgtval-20261009-eval-roohani2025-random-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-random-cart-proliferation; tgtval-20261009-eval-roohani2025-random-sanchez2021-tau; tgtval-20261009-eval-roohani2025-random-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-random-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-random-schmidt2022-il2; tgtval-20261009-eval-roohani2025-soft-uncertain-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-soft-uncertain-cart-proliferation; tgtval-20261009-eval-roohani2025-soft-uncertain-sanchez2021-tau; tgtval-20261009-eval-roohani2025-soft-uncertain-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-soft-uncertain-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-soft-uncertain-schmidt2022-il2; tgtval-20261009-eval-roohani2025-sonnet-coreset-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-sonnet-coreset-cart-proliferation; tgtval-20261009-eval-roohani2025-sonnet-coreset-sanchez2021-tau; tgtval-20261009-eval-roohani2025-sonnet-coreset-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-sonnet-coreset-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-sonnet-coreset-schmidt2022-il2; tgtval-20261009-eval-roohani2025-top-uncertain-carnevale2022-tcell; tgtval-20261009-eval-roohani2025-top-uncertain-cart-proliferation; tgtval-20261009-eval-roohani2025-top-uncertain-sanchez2021-tau; tgtval-20261009-eval-roohani2025-top-uncertain-scharenberg2023-choline; tgtval-20261009-eval-roohani2025-top-uncertain-schmidt2022-ifng; tgtval-20261009-eval-roohani2025-top-uncertain-schmidt2022-il2
- review
- method: automated-source-review; reviewer: claude; reviewer note: Claude (Opus 5.5) research agent extracted and judged; a separate Claude review agent checked every value and this judgement against the pinned sources (data/omics/use-case-coverage-target-validation-20261009/review.json); reviewed at: 2026-10-09T21:22:54Z; note: Bounded primary-source transcription with independent automated cell check and relevance review. No execution, reproduction, qualified human scientific review or clinical validation.
- pins
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