scANVI (Seurat v3 2000 HVG) on Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
Open Problems label projection evaluation of scANVI (Seurat v3 2000 HVG) on Label projection on CeNGEN (random split), Accuracy, scored with Accuracy.
Methods and reproduction
Open Problems label projection evaluation of scANVI (Seurat v3 2000 HVG) on Label projection on CeNGEN (random split), Accuracy, scored with Accuracy.
- task
- Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
- configuration
- scANVI (Seurat v3 2000 HVG)
- dataset subset
- CeNGEN (random split) (Open Problems label projection split)
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- Accuracy
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.
Evaluation procedure
100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test randomly. Dimensions: 100955 cells, 22469 genes. 169 cell types avg. 597±800 cells per cell type).
- Configuration
- scANVI (Seurat v3 2000 HVG)
- Task
- Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
- Dataset subset
- CeNGEN (random split) (Open Problems label projection split)
- origin
- Author-reported evaluation
- configuration
- Not reported
- protocol id
- open-problems-task-cengen-random-accuracy
- metric implementation
- Accuracy
Metadata review: source checked. Unreported conditions prevent automatic comparisons.
Evaluation results
Release 2026-09-17-134cd1815de8 · 1 evaluation · 1 metric row. 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.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| scANVI (Seurat v3 2000 HVG) on Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy Configuration: scANVI (Seurat v3 2000 HVG)Task: Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), AccuracyDataset subset: CeNGEN (random split) (Open Problems label projection split) 100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test randomly. Dimensions: 100955 cells, 22469 genes. 169 cell types avg. 597±800 cells per cell type). Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.6517936554995553 accuracy Unit: fraction · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedopenproblems-label primary benchmark evidence · results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), 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.
10 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.metric_implementation Accuracy Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.protocol_id open-problems-task-cengen-random-accuracy Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.origin author_reported Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.protocol 100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test randomly. Dimensions: 100955 cells, 22469 genes. 169 cell types avg. 597±800 cells per cell type). Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.source_locator results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description Open Problems label projection evaluation of scANVI (Seurat v3 2000 HVG) on Label projection on CeNGEN (random split), Accuracy, scored with Accuracy. Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: benchmark open-problems-task-cengen-random-accuracy Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: dataset open-problems-dataset-cengen-random-split Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: model open-problems-method-scanvi-seurat-v3-2000-hvg Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name scANVI (Seurat v3 2000 HVG) on Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy) Version: v1.0.0 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-134cd1815de8 · Record review: source checked
1 source records and release history
Download this releaseTechnical metadata and extraction receipts
Stable ID: open-problems-evaluation-scanvi-seurat-v3-2000-hvg-cengen-random-accuracy
- areas
- cells-tissues
- tasks
- Label projection on CeNGEN (random split), Accuracy
- origin
- author_reported
- protocol
- 100k FACS-isolated C. elegans neurons from 17 experiments sequenced on 10x Genomics. Split into train/test randomly. Dimensions: 100955 cells, 22469 genes. 169 cell types avg. 597±800 cells per cell type).
- comparison
- protocol id: open-problems-task-cengen-random-accuracy; metric implementation: Accuracy
- missing metadata
- checkpoint revision: unreported; seeds: unreported; budget: unreported; split manifest: unextracted
- source locator
- results, dataset(cengen_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(accuracy)
Related records
- benchmark: Open Problems label projection CENGEN-RANDOM-ACCURACY: Label projection on CeNGEN (random split), Accuracy
- model: scANVI (Seurat v3 2000 HVG)
- dataset: CeNGEN (random split) (Open Problems label projection split)
- evaluation: scANVI (Seurat v3 2000 HVG) · Open Problems label projection CENGEN-RANDOM-ACCURACY · Accuracy