Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score
Open Problems label projection evaluation of Multilayer perceptron (log CP10k) on Label projection on CeNGEN (random split), Macro F1 score, scored with Macro F1 score.
Methods and reproduction
Open Problems label projection evaluation of Multilayer perceptron (log CP10k) on Label projection on CeNGEN (random split), Macro F1 score, scored with Macro F1 score.
- task
- Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score
- configuration
- Multilayer perceptron (log CP10k)
- dataset subset
- CeNGEN (random split) (Open Problems label projection split)
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- Macro F1 score
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
- Multilayer perceptron (log CP10k)
- Task
- Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score
- Dataset subset
- CeNGEN (random split) (Open Problems label projection split)
- origin
- Author-reported evaluation
- configuration
- Not reported
- protocol id
- open-problems-task-cengen-random-f1-macro
- metric implementation
- Macro F1 score
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 |
|---|---|---|
| Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score Configuration: Multilayer perceptron (log CP10k)Task: Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 scoreDataset 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 | ||
| 0.7710990297473443 f1-macro Unit: fraction · Direction: higher | Uncertainty: Not reported Scored: Not reported · Eligible: Not reported | source checkedopenproblems-label primary benchmark evidence · results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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 Macro F1 score Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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-f1-macro Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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 Multilayer perceptron (log CP10k) on Label projection on CeNGEN (random split), Macro F1 score, scored with Macro F1 score. Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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-f1-macro Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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-multilayer-perceptron-log-cp10k Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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 Multilayer perceptron (log CP10k) on Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score Context-only references | openproblems-label primary benchmark evidence results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro) 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-multilayer-perceptron-log-cp10k-cengen-random-f1-macro
- areas
- cells-tissues
- tasks
- Label projection on CeNGEN (random split), Macro F1 score
- 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-f1-macro; metric implementation: Macro F1 score
- missing metadata
- checkpoint revision: unreported; seeds: unreported; budget: unreported; split manifest: unextracted
- source locator
- results, dataset(cengen_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro)
Related records
- benchmark: Open Problems label projection CENGEN-RANDOM-F1-MACRO: Label projection on CeNGEN (random split), Macro F1 score
- model: Multilayer perceptron (log CP10k)
- dataset: CeNGEN (random split) (Open Problems label projection split)
- evaluation: Multilayer perceptron (log CP10k) · Open Problems label projection CENGEN-RANDOM-F1-MACRO · Macro F1 score