Count (marginal gain (P_4 - P_0)/4 in the screen's 200 strongest measured gene pairs found, round 0 to round 4) of NAIAD with MPE acquisition on Horlbeck et al. 2018 combinatorial CRISPRi in Jurkat T cells, gene-level viability (as processed by Qin et al. 2025)
23 Count (marginal gain (P_4 - P_0)/4 in the screen's 200 strongest measured gene pairs found, round 0 to round 4)
Methods
- Tested configuration
- NAIAD with MPE acquisition
- Protocol
- Retrospective active learning on a fully measured two-gene CRISPR viability screen: top-200 gene pairs found by round 4
- Dataset
- Horlbeck et al. 2018 combinatorial CRISPRi in Jurkat T cells, gene-level viability (as processed by Qin et al. 2025)
- Procedure
- Retrospective active learning on a fully measured two-gene CRISPR viability screen: top-200 gene pairs found by round 4
- Evaluation
- NAIAD with MPE acquisition on Horlbeck Jurkat (Tables 2 and 3, acquisition functions with NAIAD)
- Coverage
- Not reported scored / Not reported eligible
- Uncertainty
- Not reported by the source: The table prints no error and does not state the number of runs.
- Evidence
- Author-reported evaluation · source checkedQin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) · Table 3, row "MPE", column "Horlbeck Jurkat"
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.
Reproduction
- Split
- No held-out split; the whole screen is both the candidate pool and the ground truth
- Adaptation
- NAIAD ensemble; MPE acquisition
- Scoring implementation
- P_i = |X_i,P ∩ Y_i,P| at P = 200 (Appendix D)
No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.
Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.
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.
1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Reported result 23 Individual claims | Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) Table 3, row "MPE", column "Horlbeck Jurkat" Version: Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read. | source checked ["source-hash-verification","pdf-text-parse","independent-cell-check","rendered-source-visual-check","scope-review"] · 2026-10-22 author reported Audit detailsValue, standard error, metric, qualifier, unit, direction and the linked configuration, dataset and protocol checked. Tables 2 and 3 print no error and do not say how many runs they summarise; Table 2 differs from Table 4 by more than rounding, so it is a separate run and its evaluation has aggregation null. Marginal gain recomputed as (P4 - P0)/4 from Table 2 with one round-0 count per dataset (Norman 88, Simpson 36, Horlbeck K562 37, Horlbeck Jurkat 69); all 16 cells agree. Field: Source artifact SHA-256: Hash scope: pdftotext -layout text layer, parsed by extract/qin2025naiad.py Extraction artifact SHA-256: |
Sources and history
Release 2026-10-23-5347695500ed · Record review: source checked
1 source record and release history
- Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) · Original source · Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read.
Technical metadata and extraction receipts
Stable ID: pheno-20261022-qin2025-result-table2-3-naiad-mpe-horlbeck2018-jurkat-marginal-gain-round4
- metric
- count
- metric qualifier
- marginal gain (P_4 - P_0)/4 in the screen's 200 strongest measured gene pairs found, round 0 to round 4
- metric direction
- higher
- unit
- count
- unit detail
- top-200 gene pairs per round
- printed value
- 23
- numeric value
- 23
- source locator
- Table 3, row "MPE", column "Horlbeck Jurkat"
- review
- method: source-hash-verification; pdf-text-parse; independent-cell-check; rendered-source-visual-check; scope-review; reviewer: claude; reviewer note: Claude (Opus 5.5) review agent, independent of the extraction agent; no human review claimed; date: 2026-10-22; artifact sha256: 983b2da8aed78f0aced27053301c15f0f67ebd0fac706435bb6800e309dd64eb; retrieval url: https://raw.githubusercontent.com/mlresearch/v267/main/assets/qin25g/qin25g.pdf; method note: Re-hashed the PDF in the scratchpad (SHA-256 matches the source record). Ran scripts/omics/batch.py check-values on the pdftotext -layout layer (200 in_row, 12 row_not_found). Then parsed Tables 1 to 8 with a separate reviewer script (review/qin2025naiad-check.py) that asserts row labels and cells per row, and matched each result to its cell through the evaluation's system and data links and the metric qualifier, not through its locator: 212 of 212 printed values, numeric values and standard errors match, and every locator names the same cell. Tables 1 to 8 were also compared by eye with the rendered PDF pages 6 to 8, 18 and 20, including column order.; note: Value, standard error, metric, qualifier, unit, direction and the linked configuration, dataset and protocol checked. Tables 2 and 3 print no error and do not say how many runs they summarise; Table 2 differs from Table 4 by more than rounding, so it is a separate run and its evaluation has aggregation null. Marginal gain recomputed as (P4 - P0)/4 from Table 2 with one round-0 count per dataset (Norman 88, Simpson 36, Horlbeck K562 37, Horlbeck Jurkat 69); all 16 cells agree.
- missing metadata
- uncertainty: reason: unreported; note: The table prints no error and does not state the number of runs.