rewire.it
Result

0.9537462807681905 accuracy

Multilayer perceptron (log scran) · Open Problems label projection PANCREAS-BATCH-ACCURACY · Accuracy

Tested configuration
Multilayer perceptron (log scran)
Task
Open Problems label projection PANCREAS-BATCH-ACCURACY: Label projection on Pancreas (by batch), Accuracy
Dataset subset
Pancreas (by batch) (Open Problems label projection split)
Procedure
Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq). Split into train/test by experimental batch. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).
Evaluation
Multilayer perceptron (log scran) on Open Problems label projection PANCREAS-BATCH-ACCURACY: Label projection on Pancreas (by batch), Accuracy
Evidence
Author-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_batch), method(multilayer_perceptron), paramset(log scran), metric(accuracy)

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.

Methods and reproduction

Open Problems label projection evaluation of Multilayer perceptron (log scran) on Label projection on Pancreas (by batch), Accuracy, scored with Accuracy.

task
Open Problems label projection PANCREAS-BATCH-ACCURACY: Label projection on Pancreas (by batch), Accuracy
configuration
Multilayer perceptron (log scran)
dataset subset
Pancreas (by batch) (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 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.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Multilayer perceptron (log scran) on Open Problems label projection PANCREAS-BATCH-ACCURACY: Label projection on Pancreas (by batch), Accuracy

Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq). Split into train/test by experimental batch. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.9537462807681905 accuracy

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_batch), method(multilayer_perceptron), 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
Reported result

0.9537462807681905

Individual claims
openproblems-label primary benchmark evidence

Original source ↗

results, dataset(pancreas_batch), method(multilayer_perceptron), paramset(log scran), metric(accuracy)

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

source checked

Deterministic parse of the run records embedded in the pinned page, with the direction of each metric taken from the page's own maximize flag · 2026-09-18

author reported

Audit details

Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.

Field: attributes.printed_value

Source artifact SHA-256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Extraction artifact SHA-256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1

Extraction artifact

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-result-multilayer-perceptron-log-scran-pancreas-batch-accuracy-accuracy

areas
cells-tissues
tasks
Label projection on Pancreas (by batch), Accuracy
metric
accuracy
metric direction
higher
unit
fraction
printed value
0.9537462807681905
numeric value
0.9537462807681905
uncertainty
Not reported
source locator
results, dataset(pancreas_batch), method(multilayer_perceptron), paramset(log scran), metric(accuracy)
missing metadata
denominator: unextracted; seeds: unreported
review
method: Deterministic parse of the run records embedded in the pinned page, with the direction of each metric taken from the page's own maximize flag; reviewer: Codex research agent; no human review claimed; date: 2026-09-18; artifact sha256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1; retrieval url: https://www.openproblems.bio/benchmarks/label_projection/v1.0.0/; notes: Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.
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