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Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy

Label projection on Zebrafish (random split), Accuracy. Scored with Accuracy on Zebrafish (random split). 90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

16 evaluations · 16 metric rows

Overview

Label projection on Zebrafish (random split), Accuracy. Scored with Accuracy on Zebrafish (random split). 90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

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

Evaluation design

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Benchmarks

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Recorded evaluations

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Run instructions

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Published comparisons

Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies. The pooled view gathers every source table that reports the same metric and names what it does not hold constant.

Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy

accuracy (fraction) · Higher values are better for this metric.

Every method Open Problems label projection reports on Label projection on Zebrafish (random split), Accuracy, scored with Accuracy on Zebrafish (random split).

Evaluation protocol · Zebrafish (random split) (Open Problems label projection split)

  1. True Labels · Method · Author-reported evaluation1
  2. Majority Vote · Configuration · Author-reported evaluation0.1740139211136891
  3. K-neighbors classifier (log CP10k) · Configuration · Author-reported evaluation0.8060711523588554
  4. Logistic regression (log CP10k) · Configuration · Author-reported evaluation0.8426140757927301
  5. Multilayer perceptron (log CP10k) · Configuration · Author-reported evaluation0.8397138437741686
  6. Random Labels · Method · Author-reported evaluation0.08739365815931942
  7. K-neighbors classifier (log scran) · Configuration · Author-reported evaluation0.8022041763341067
  8. Logistic regression (log scran) · Configuration · Author-reported evaluation0.8431941221964424
  9. XGBoost (log CP10k) · Configuration · Author-reported evaluation0.8031709203402939
  10. Multilayer perceptron (log scran) · Configuration · Author-reported evaluation0.8343000773395205
  11. Seurat reference mapping (SCTransform) · Configuration · Author-reported evaluation0.8596287703016241
  12. XGBoost (log scran) · Configuration · Author-reported evaluation0.7882830626450116
  13. scANVI (Seurat v3 2000 HVG) · Configuration · Author-reported evaluation0.7790023201856149
  14. scArches+scANVI (All genes) · Configuration · Author-reported evaluation0.6477184841453983
  15. scArches+scANVI (Seurat v3 2000 HVG) · Configuration · Author-reported evaluation0.637277648878577
  16. scANVI (All genes) · Configuration · Author-reported evaluation0.7521268368136118

Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.

openproblems-label primary benchmark evidence · results, dataset(zebrafish_random), metric(accuracy)
Values, uncertainty and evidence
accuracy: original source values
Tested entityPrinted valueUncertaintyEvidence
True Labels · Method1 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(true_labels), paramset(none), metric(accuracy)
Majority Vote · Configuration0.1740139211136891 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(majority_vote), paramset(none), metric(accuracy)
K-neighbors classifier (log CP10k) · Configuration0.8060711523588554 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(k_neighbors_classifier), paramset(log CP10k), metric(accuracy)
Logistic regression (log CP10k) · Configuration0.8426140757927301 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(logistic_regression), paramset(log CP10k), metric(accuracy)
Multilayer perceptron (log CP10k) · Configuration0.8397138437741686 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(multilayer_perceptron), paramset(log CP10k), metric(accuracy)
Random Labels · Method0.08739365815931942 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(random_labels), paramset(none), metric(accuracy)
K-neighbors classifier (log scran) · Configuration0.8022041763341067 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(k_neighbors_classifier), paramset(log scran), metric(accuracy)
Logistic regression (log scran) · Configuration0.8431941221964424 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(logistic_regression), paramset(log scran), metric(accuracy)
XGBoost (log CP10k) · Configuration0.8031709203402939 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(xgboost), paramset(log CP10k), metric(accuracy)
Multilayer perceptron (log scran) · Configuration0.8343000773395205 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(multilayer_perceptron), paramset(log scran), metric(accuracy)
Seurat reference mapping (SCTransform) · Configuration0.8596287703016241 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(seurat_reference_mapping), paramset(SCTransform), metric(accuracy)
XGBoost (log scran) · Configuration0.7882830626450116 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(xgboost), paramset(log scran), metric(accuracy)
scANVI (Seurat v3 2000 HVG) · Configuration0.7790023201856149 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy)
scArches+scANVI (All genes) · Configuration0.6477184841453983 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scarches_scanvi), paramset(All genes), metric(accuracy)
scArches+scANVI (Seurat v3 2000 HVG) · Configuration0.637277648878577 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scarches_scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy)
scANVI (All genes) · Configuration0.7521268368136118 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scanvi), paramset(All genes), metric(accuracy)
Scope and limitations
  • Results published by the Open Problems project, source checked but not independently reproduced.
  • This covers the label projection task at v1.0.0 only, not the whole Open Problems suite.
  • true_labels and random_labels are controls that bound the scale, not competing methods.
  • Preprocessing is part of the run, so the same method appears once per parameter set.

Source transcription and grouping reviewed by automated source review on 2026-09-18. These experiments were not independently reproduced by rewire.

Tested entities and results

Release 2026-09-17-134cd1815de8 · 16 evaluations · 16 metric rows. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
K-neighbors classifier (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: K-neighbors classifier (log CP10k)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8060711523588554 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(k_neighbors_classifier), paramset(log CP10k), metric(accuracy)

Source checking is not independent reproduction.

K-neighbors classifier (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: K-neighbors classifier (log scran)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8022041763341067 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(k_neighbors_classifier), paramset(log scran), metric(accuracy)

Source checking is not independent reproduction.

Logistic regression (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: Logistic regression (log CP10k)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8426140757927301 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(logistic_regression), paramset(log CP10k), metric(accuracy)

Source checking is not independent reproduction.

Logistic regression (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: Logistic regression (log scran)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8431941221964424 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(logistic_regression), paramset(log scran), metric(accuracy)

Source checking is not independent reproduction.

Majority Vote on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: Majority VoteTask: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.1740139211136891 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(majority_vote), paramset(none), metric(accuracy)

Source checking is not independent reproduction.

Multilayer perceptron (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: Multilayer perceptron (log CP10k)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8397138437741686 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(multilayer_perceptron), paramset(log CP10k), metric(accuracy)

Source checking is not independent reproduction.

Multilayer perceptron (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: Multilayer perceptron (log scran)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8343000773395205 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(multilayer_perceptron), paramset(log scran), metric(accuracy)

Source checking is not independent reproduction.

Random Labels on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Method: Random LabelsTask: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.08739365815931942 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(random_labels), paramset(none), metric(accuracy)

Source checking is not independent reproduction.

scANVI (All genes) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: scANVI (All genes)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.7521268368136118 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scanvi), paramset(All genes), metric(accuracy)

Source checking is not independent reproduction.

scANVI (Seurat v3 2000 HVG) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: scANVI (Seurat v3 2000 HVG)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.7790023201856149 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy)

Source checking is not independent reproduction.

scArches+scANVI (All genes) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: scArches+scANVI (All genes)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.6477184841453983 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scarches_scanvi), paramset(All genes), metric(accuracy)

Source checking is not independent reproduction.

scArches+scANVI (Seurat v3 2000 HVG) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: scArches+scANVI (Seurat v3 2000 HVG)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.637277648878577 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(scarches_scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy)

Source checking is not independent reproduction.

Seurat reference mapping (SCTransform) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: Seurat reference mapping (SCTransform)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8596287703016241 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(seurat_reference_mapping), paramset(SCTransform), metric(accuracy)

Source checking is not independent reproduction.

True Labels on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Method: True LabelsTask: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

1 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(true_labels), paramset(none), metric(accuracy)

Source checking is not independent reproduction.

XGBoost (log CP10k) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: XGBoost (log CP10k)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8031709203402939 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(xgboost), paramset(log CP10k), metric(accuracy)

Source checking is not independent reproduction.

XGBoost (log scran) on Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy
Configuration: XGBoost (log scran)Task: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), AccuracyDataset subset: Zebrafish (random split) (Open Problems label projection split)

90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.7882830626450116 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(zebrafish_random), method(xgboost), paramset(log scran), metric(accuracy)

Source checking is not 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

Claims, original sources and review scope · Release 2026-09-17-134cd1815de8
Property and statementOriginal source and locationReview and provenance
Relationship: part of

discovery-benchmark-open-problems

Individual claims		openproblems-label primary benchmark evidence

Original source ↗

results, dataset(zebrafish_random), metric(accuracy)

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

source checked

automated source review · 2026-09-18

Audit details

Primary-source transcription with no human sign-off and no independent reproduction.

Field: links:part_of:discovery-benchmark-open-problems

Claim: open-problems-association-zebrafish-random-accuracy

Source artifact SHA-256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

All evidence (CSV)All evidence (JSONL)How to read the evidence

Sources and history

Release 2026-09-17-134cd1815de8 · Record review: source checked

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

Stable ID: open-problems-task-zebrafish-random-accuracy

areas
cells-tissues
tasks
Label projection on Zebrafish (random split), Accuracy
metric
Accuracy
metric direction
higher
dataset
Zebrafish (random split)
protocol
90k cells from zebrafish embryos throughout the first day of development, with and without a knockout of chordin, an important developmental gene. Split into train/test randomly. Dimensions: 26022 cells, 25258 genes. 24 cell types (avg. 1084±1156 cells per cell type).
source locator
results, dataset(zebrafish_random), metric(accuracy)
comparison panels
id: open-problems-panel-zebrafish-random-accuracy; title: Open Problems label projection ZEBRAFISH-RANDOM-ACCURACY: Label projection on Zebrafish (random split), Accuracy; protocol id: open-problems-task-zebrafish-random-accuracy; dataset id: open-problems-dataset-zebrafish-random-split; metric: accuracy; unit: fraction; direction: higher; result ids: open-problems-result-true-labels-zebrafish-random-accuracy-accuracy; open-problems-result-majority-vote-zebrafish-random-accuracy-accuracy; open-problems-result-k-neighbors-classifier-log-cp10k-zebrafish-random-accuracy-accuracy; open-problems-result-logistic-regression-log-cp10k-zebrafish-random-accuracy-accuracy; open-problems-result-multilayer-perceptron-log-cp10k-zebrafish-random-accuracy-accuracy; open-problems-result-random-labels-zebrafish-random-accuracy-accuracy; open-problems-result-k-neighbors-classifier-log-scran-zebrafish-random-accuracy-accuracy; open-problems-result-logistic-regression-log-scran-zebrafish-random-accuracy-accuracy; open-problems-result-xgboost-log-cp10k-zebrafish-random-accuracy-accuracy; open-problems-result-multilayer-perceptron-log-scran-zebrafish-random-accuracy-accuracy; open-problems-result-seurat-reference-mapping-sctransform-zebrafish-random-accuracy-accuracy; open-problems-result-xgboost-log-scran-zebrafish-random-accuracy-accuracy; open-problems-result-scanvi-seurat-v3-2000-hvg-zebrafish-random-accuracy-accuracy; open-problems-result-scarches-plus-scanvi-all-genes-zebrafish-random-accuracy-accuracy; open-problems-result-scarches-plus-scanvi-seurat-v3-2000-hvg-zebrafish-random-accuracy-accuracy; open-problems-result-scanvi-all-genes-zebrafish-random-accuracy-accuracy; source ids: expansion-p3-open-problems; source locator: results, dataset(zebrafish_random), metric(accuracy); context: Every method Open Problems label projection reports on Label projection on Zebrafish (random split), Accuracy, scored with Accuracy on Zebrafish (random split).; caveats: Results published by the Open Problems project, source checked but not independently reproduced.; This covers the label projection task at v1.0.0 only, not the whole Open Problems suite.; true_labels and random_labels are controls that bound the scale, not competing methods.; Preprocessing is part of the run, so the same method appears once per parameter set.; review: method: automated_source_review; date: 2026-09-18
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