rewire.itbenchmarks
Dataset subset

CeNGEN (split by batch) (Open Problems label projection split)

The split of CeNGEN (split by batch) that Open Problems label projection evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.

Research readiness

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

Release 2026-09-29-06401fd5b220 · 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

48 evaluations · 48 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: K-neighbors classifier (log CP10k)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.812 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(k_neighbors_classifier), paramset(log CP10k), metric(accuracy)
Configuration: K-neighbors classifier (log CP10k)Task: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.831 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(k_neighbors_classifier), paramset(log CP10k), metric(f1)
Configuration: K-neighbors classifier (log CP10k)Task: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.398 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

K-neighbors classifier (log CP10k) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(k_neighbors_classifier), paramset(log CP10k), metric(f1_macro)
Configuration: K-neighbors classifier (log scran)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.787 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

K-neighbors classifier (log scran) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(k_neighbors_classifier), paramset(log scran), metric(accuracy)
Configuration: K-neighbors classifier (log scran)Task: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.805 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

K-neighbors classifier (log scran) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(k_neighbors_classifier), paramset(log scran), metric(f1)
Configuration: K-neighbors classifier (log scran)Task: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.351 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

K-neighbors classifier (log scran) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(k_neighbors_classifier), paramset(log scran), metric(f1_macro)
Configuration: Logistic regression (log CP10k)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.878 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Logistic regression (log CP10k) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(logistic_regression), paramset(log CP10k), metric(accuracy)
Configuration: Logistic regression (log CP10k)Task: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.875 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Logistic regression (log CP10k) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(logistic_regression), paramset(log CP10k), metric(f1)
Configuration: Logistic regression (log CP10k)Task: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.511 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Logistic regression (log CP10k) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(logistic_regression), paramset(log CP10k), metric(f1_macro)
Configuration: Logistic regression (log scran)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.772 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Logistic regression (log scran) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(logistic_regression), paramset(log scran), metric(accuracy)
Configuration: Logistic regression (log scran)Task: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.804 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Logistic regression (log scran) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(logistic_regression), paramset(log scran), metric(f1)
Configuration: Logistic regression (log scran)Task: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.484 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Logistic regression (log scran) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(logistic_regression), paramset(log scran), metric(f1_macro)
Configuration: Majority VoteTask: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.0222 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Majority Vote on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(majority_vote), paramset(none), metric(accuracy)
Configuration: Majority VoteTask: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.000962 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Majority Vote on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(majority_vote), paramset(none), metric(f1)
Configuration: Majority VoteTask: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.000529 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Majority Vote on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(majority_vote), paramset(none), metric(f1_macro)
Configuration: Multilayer perceptron (log CP10k)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.825 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(multilayer_perceptron), paramset(log CP10k), metric(accuracy)
Configuration: Multilayer perceptron (log CP10k)Task: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.832 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(multilayer_perceptron), paramset(log CP10k), metric(f1)
Configuration: Multilayer perceptron (log CP10k)Task: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.403 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro)
Configuration: Multilayer perceptron (log scran)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.857 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Multilayer perceptron (log scran) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(multilayer_perceptron), paramset(log scran), metric(accuracy)
Configuration: Multilayer perceptron (log scran)Task: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.857 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Multilayer perceptron (log scran) on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(multilayer_perceptron), paramset(log scran), metric(f1)
Configuration: Multilayer perceptron (log scran)Task: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.486 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Multilayer perceptron (log scran) on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(multilayer_perceptron), paramset(log scran), metric(f1_macro)
Method: Random LabelsTask: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.0144 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Random Labels on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(random_labels), paramset(none), metric(accuracy)
Method: Random LabelsTask: Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.0236 f1
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Random Labels on Open Problems label projection CENGEN-BATCH-F1: Label projection on CeNGEN (split by batch), F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(random_labels), paramset(none), metric(f1)
Method: Random LabelsTask: Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.00218 f1-macro
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Random Labels on Open Problems label projection CENGEN-BATCH-F1-MACRO: Label projection on CeNGEN (split by batch), Macro F1 score

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(random_labels), paramset(none), metric(f1_macro)
Configuration: scANVI (All genes)Task: Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy
Dataset subset: CeNGEN (split by batch) (Open Problems label projection split)
0.647 accuracy
fraction · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

scANVI (All genes) on Open Problems label projection CENGEN-BATCH-ACCURACY: Label projection on CeNGEN (split by batch), Accuracy

100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test by experimental batch. Dimensions: 100955 cells, 22469 genes. 169 cell types (avg. 597±800 cells per cell type).

Aggregation: Not reported

openproblems-label primary benchmark evidence · results, dataset(cengen_batch), method(scanvi), paramset(All genes), metric(accuracy)

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Subset and evaluation context

This record describes a particular subset or cohort used in an evaluation. Its results do not describe the full dataset.

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.

2 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
description
The split of CeNGEN (split by batch) that Open Problems label projection evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.
Context-only references
openproblems-label primary benchmark evidence

Original source ↗

No field-specific location recorded

Version: v1.0.0
Retrieved: 2026-09-16T21:16:30.026457+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

name
CeNGEN (split by batch) (Open Problems label projection split)
Context-only references
openproblems-label primary benchmark evidence

Original source ↗

No field-specific location recorded

Version: v1.0.0
Retrieved: 2026-09-16T21:16:30.026457+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

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Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: open-problems-dataset-cengen-split-by-batch

areas
cells-tissues
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version: unreported; url: unextracted
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