rewirebio.iobenchmarks
Configuration

CPPC original submission row 7 (Expression_Conditioned)

Original submitted workflow identified by immutable Table S2 row, not by team personal details. Benchmark method-name column may identify a reimplementation/feature and does not establish an identical current model.

2 evaluations · 2 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

2 evaluations · 2 results. Different protocols are not a single leaderboard.

Dataset: CPPC B16-OVA mouse melanoma T-cell perturbation screens

Sorted by CPPC mean cell state L1 (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

All 2 result rows with coverage, uncertainty and sources
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Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: CPPC original submission row 7 (Expression_Conditioned)Protocol: CPPC original Challenge 1 final four-knockout prediction score
Dataset: CPPC B16-OVA mouse melanoma T-cell perturbation screens
0.788 CPPC mean cell state L1
unitless · lower

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

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

cppc table s2 c row 7

Not reported

Aggregation: Not reported

CPPC Table S2 original and reimplemented submission comparisons · Supplementary Table S2; media-3.xlsx sheet 'Challenge 1 & 2'; cell C7; raw XLSX numeric value (not rounded display)
Configuration: CPPC original submission row 7 (Expression_Conditioned)Protocol: CPPC original Challenge 2 prospective target ranking score
Dataset: CPPC B16-OVA mouse melanoma T-cell perturbation screens
0.566 CPPC top-k overlap AUC
unitless · higher

Uncertainty: Not yet extracted

Coverage: Not reported scored / Not reported eligible

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

cppc table s2 d row 7

Not reported

Aggregation: Not reported

CPPC Table S2 original and reimplemented submission comparisons · Supplementary Table S2; media-3.xlsx sheet 'Challenge 1 & 2'; cell D7; raw XLSX numeric value (not rounded display)

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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How it works, versions and access

Additional methodological details, versions and access terms have not yet been extracted into a structured profile for this configuration. Consult the linked sources and evaluation records below.

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.

3 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statementOriginal source and locationReview and provenance
Facets: method types
1 values
  • supervised_machine_learning
Individual claims
CPPC Supplementary Note S1: implementation of methods and hyperparameter selection

Original source ↗

CPPC Supplementary Note S1, Expression_Conditioned: each gene represented by its expression across training conditions, then a fitted predictor

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Supplement 1 (media-1.pdf) of 10.64898/2026.05.21.726863v1
Retrieved: 2026-10-12T13:55:50Z

conflicting claim

["source-hash-verification","automated-source-review"] · 2026-10-12

Audit details

Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 2). Note S1 describes the authors' reimplementation of this submission from its write-up and code (Table S2 column I). The method maps each gene to features, then a predictor is fitted on Screen 1 (main-text Methods, "Implementation of top methods"; Figure 2A). The submitted write-ups (Document S1, Google Drive) were not read, so the submission's own predictor is not known. Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. Checked against Note S1 and Table S2 columns A to D and G to K only. Note S1 describes the authors' reimplementation; the original write-ups were not read. See docs/reviews/2026-10-12-method-type-corrections.md.

Conflicting source claim: "[\"supervised_machine_learning\"]". Claim record status: source_checked.

Field: facets.method_types

Claim: metadata-correction-tags-20261012-a43973ae340595b28457

Source artifact SHA-256: 80ee7ad255296a5650247f06bb1915af12adf6644c2b619417d6940e77368e9b

Hash scope: artifact_sha256 is the SHA-256 of the extracted member media-1.pdf. The archive digest describes one retrieval; a first download of the same URL was truncated and is not recorded. The licence is the article's, as printed in the Europe PMC full-text XML (PMC13228547).

Archive member: media-1.pdf

Inspected artifact

Extraction artifact SHA-256: 80ee7ad255296a5650247f06bb1915af12adf6644c2b619417d6940e77368e9b

Extraction artifact

Facets: method types
1 values
  • supervised_machine_learning
Individual claims
Cancer Immunotherapy Data Science Challenge

Original source ↗

CPPC Supplementary Note S1, Expression_Conditioned: each gene represented by its expression across training conditions, then a fitted predictor

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 10.64898/2026.05.21.726863v1; 2026 preprint
Retrieved: 2026-09-30T21:23:33Z

conflicting claim

["source-hash-verification","automated-source-review"] · 2026-10-12

Audit details

Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 2). Note S1 describes the authors' reimplementation of this submission from its write-up and code (Table S2 column I). The method maps each gene to features, then a predictor is fitted on Screen 1 (main-text Methods, "Implementation of top methods"; Figure 2A). The submitted write-ups (Document S1, Google Drive) were not read, so the submission's own predictor is not known. Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. Checked against Note S1 and Table S2 columns A to D and G to K only. Note S1 describes the authors' reimplementation; the original write-ups were not read. See docs/reviews/2026-10-12-method-type-corrections.md.

Conflicting source claim: "[\"supervised_machine_learning\"]". Claim record status: source_checked.

Field: facets.method_types

Claim: metadata-correction-tags-20261012-a43973ae340595b28457

Source artifact SHA-256: 6c98a7d0f0ab7abff1c76a7f184382a10ca82c39b34879b83d205a994412aa22

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

Inspected artifact

Extraction artifact SHA-256: 80ee7ad255296a5650247f06bb1915af12adf6644c2b619417d6940e77368e9b

Extraction artifact

Facets: method types
1 values
  • supervised_machine_learning
Individual claims
CPPC Table S2 original and reimplemented submission comparisons

Original source ↗

CPPC Supplementary Note S1, Expression_Conditioned: each gene represented by its expression across training conditions, then a fitted predictor

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: Table S2 media-3.xlsx, 10.64898/2026.05.21.726863v1
Retrieved: 2026-09-30T21:40:24Z

conflicting claim

["source-hash-verification","automated-source-review"] · 2026-10-12

Audit details

Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 2). Note S1 describes the authors' reimplementation of this submission from its write-up and code (Table S2 column I). The method maps each gene to features, then a predictor is fitted on Screen 1 (main-text Methods, "Implementation of top methods"; Figure 2A). The submitted write-ups (Document S1, Google Drive) were not read, so the submission's own predictor is not known. Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. Checked against Note S1 and Table S2 columns A to D and G to K only. Note S1 describes the authors' reimplementation; the original write-ups were not read. See docs/reviews/2026-10-12-method-type-corrections.md.

Conflicting source claim: "[\"supervised_machine_learning\"]". Claim record status: source_checked.

Field: facets.method_types

Claim: metadata-correction-tags-20261012-a43973ae340595b28457

Source artifact SHA-256: ed480039c8008fdfcedaa50a8248d32df6068a9230a18ab6953ada5535865105

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

Archive member: media-3.xlsx

Inspected artifact

Extraction artifact SHA-256: 80ee7ad255296a5650247f06bb1915af12adf6644c2b619417d6940e77368e9b

Extraction artifact

Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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

Stable ID: ucc-research-config-cppc-submission-row-7

method types
supervised_machine_learning
review
method: automated-source-review; reviewed at: 2026-09-30T21:43:56Z; note: Primary-source table transcription and scope review; no independent reproduction or human scientific review.; reviewer note: role: research coverage worker; reviewer: codex
source row
7
benchmark method label
Expression_Conditioned
missing metadata
checkpoint hash: reason: unextracted; submission code revision: reason: unextracted
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