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Task

Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

Label projection on Pancreas (random split), Macro F1 score. Scored with Macro F1 score on Pancreas (random split). 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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

16 evaluations · 16 metric rows

Overview

Label projection on Pancreas (random split), Macro F1 score. Scored with Macro F1 score on Pancreas (random split). 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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

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Evaluation design

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Published comparisons

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Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

f1-macro (fraction) · Higher values are better for this metric.

Every method Open Problems label projection reports on Label projection on Pancreas (random split), Macro F1 score, scored with Macro F1 score on Pancreas (random split).

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

  1. True Labels · Method · Author-reported evaluation1
  2. Random Labels · Method · Author-reported evaluation0.07618531000986446

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(pancreas_random), metric(f1_macro)
Values, uncertainty and evidence
f1-macro: original source values
Tested entityPrinted valueUncertaintyEvidence
True Labels · Method1 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(true_labels), paramset(none), metric(f1_macro)
Random Labels · Method0.07618531000986446 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(random_labels), paramset(none), metric(f1_macro)
Majority Vote · Configuration0.03535485557443472 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(majority_vote), paramset(none), metric(f1_macro)
K-neighbors classifier (log CP10k) · Configuration0.8962212379632082 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(k_neighbors_classifier), paramset(log CP10k), metric(f1_macro)
Logistic regression (log CP10k) · Configuration0.9723208693493605 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(logistic_regression), paramset(log CP10k), metric(f1_macro)
Multilayer perceptron (log CP10k) · Configuration0.9709369948626364 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro)
XGBoost (log CP10k) · Configuration0.9655956850535162 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(xgboost), paramset(log CP10k), metric(f1_macro)
K-neighbors classifier (log scran) · Configuration0.7715105401247113 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(k_neighbors_classifier), paramset(log scran), metric(f1_macro)
Logistic regression (log scran) · Configuration0.6317027390878511 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(logistic_regression), paramset(log scran), metric(f1_macro)
scArches+scANVI (Seurat v3 2000 HVG) · Configuration0.529456773064677 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scarches_scanvi), paramset(Seurat v3 2000 HVG), metric(f1_macro)
XGBoost (log scran) · Configuration0.9185879119724563 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(xgboost), paramset(log scran), metric(f1_macro)
Multilayer perceptron (log scran) · Configuration0.8786949882795664 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log scran), metric(f1_macro)
Seurat reference mapping (SCTransform) · Configuration0.8948274458832942 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(seurat_reference_mapping), paramset(SCTransform), metric(f1_macro)
scANVI (Seurat v3 2000 HVG) · Configuration0.6870492664816059 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(f1_macro)
scANVI (All genes) · Configuration0.6753232347526958 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scanvi), paramset(All genes), metric(f1_macro)
scArches+scANVI (All genes) · Configuration0.5347595613474366 fractionNot reportedAuthor-reported evaluation · source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scarches_scanvi), paramset(All genes), metric(f1_macro)
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 PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8962212379632082 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(k_neighbors_classifier), paramset(log CP10k), metric(f1_macro)

Source checking is not independent reproduction.

K-neighbors classifier (log scran) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.7715105401247113 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(k_neighbors_classifier), paramset(log scran), metric(f1_macro)

Source checking is not independent reproduction.

Logistic regression (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.9723208693493605 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(logistic_regression), paramset(log CP10k), metric(f1_macro)

Source checking is not independent reproduction.

Logistic regression (log scran) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.6317027390878511 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(logistic_regression), paramset(log scran), metric(f1_macro)

Source checking is not independent reproduction.

Majority Vote on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.03535485557443472 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(majority_vote), paramset(none), metric(f1_macro)

Source checking is not independent reproduction.

Multilayer perceptron (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.9709369948626364 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log CP10k), metric(f1_macro)

Source checking is not independent reproduction.

Multilayer perceptron (log scran) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8786949882795664 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(multilayer_perceptron), paramset(log scran), metric(f1_macro)

Source checking is not independent reproduction.

Random Labels on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.07618531000986446 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(random_labels), paramset(none), metric(f1_macro)

Source checking is not independent reproduction.

scANVI (All genes) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.6753232347526958 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scanvi), paramset(All genes), metric(f1_macro)

Source checking is not independent reproduction.

scANVI (Seurat v3 2000 HVG) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.6870492664816059 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scanvi), paramset(Seurat v3 2000 HVG), metric(f1_macro)

Source checking is not independent reproduction.

scArches+scANVI (All genes) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.5347595613474366 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scarches_scanvi), paramset(All genes), metric(f1_macro)

Source checking is not independent reproduction.

scArches+scANVI (Seurat v3 2000 HVG) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.529456773064677 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(scarches_scanvi), paramset(Seurat v3 2000 HVG), metric(f1_macro)

Source checking is not independent reproduction.

Seurat reference mapping (SCTransform) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.8948274458832942 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(seurat_reference_mapping), paramset(SCTransform), metric(f1_macro)

Source checking is not independent reproduction.

True Labels on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

1 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(true_labels), paramset(none), metric(f1_macro)

Source checking is not independent reproduction.

XGBoost (log CP10k) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.9655956850535162 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(xgboost), paramset(log CP10k), metric(f1_macro)

Source checking is not independent reproduction.

XGBoost (log scran) on Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score

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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).

Author-reported evaluation · Evaluation metadata: source checked

0.9185879119724563 f1-macro

Unit: fraction · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedopenproblems-label primary benchmark evidence · results, dataset(pancreas_random), method(xgboost), paramset(log scran), 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.

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(pancreas_random), metric(f1_macro)

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-pancreas-random-f1-macro

Source artifact SHA-256: e223ab712ff55997a3abe659f280d4ea2952700e767b87e02c434701da9833c1

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected 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-task-pancreas-random-f1-macro

areas
cells-tissues
tasks
Label projection on Pancreas (random split), Macro F1 score
metric
Macro F1 score
metric direction
higher
dataset
Pancreas (random split)
protocol
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 randomly. Dimensions: 16382 cells, 18771 genes. 14 cell types (avg. 1170±1703 cells per cell type).
source locator
results, dataset(pancreas_random), metric(f1_macro)
comparison panels
id: open-problems-panel-pancreas-random-f1-macro; title: Open Problems label projection PANCREAS-RANDOM-F1-MACRO: Label projection on Pancreas (random split), Macro F1 score; protocol id: open-problems-task-pancreas-random-f1-macro; dataset id: open-problems-dataset-pancreas-random-split; metric: f1-macro; unit: fraction; direction: higher; result ids: open-problems-result-true-labels-pancreas-random-f1-macro-f1-macro; open-problems-result-random-labels-pancreas-random-f1-macro-f1-macro; open-problems-result-majority-vote-pancreas-random-f1-macro-f1-macro; open-problems-result-k-neighbors-classifier-log-cp10k-pancreas-random-f1-macro-f1-macro; open-problems-result-logistic-regression-log-cp10k-pancreas-random-f1-macro-f1-macro; open-problems-result-multilayer-perceptron-log-cp10k-pancreas-random-f1-macro-f1-macro; open-problems-result-xgboost-log-cp10k-pancreas-random-f1-macro-f1-macro; open-problems-result-k-neighbors-classifier-log-scran-pancreas-random-f1-macro-f1-macro; open-problems-result-logistic-regression-log-scran-pancreas-random-f1-macro-f1-macro; open-problems-result-scarches-plus-scanvi-seurat-v3-2000-hvg-pancreas-random-f1-macro-f1-macro; open-problems-result-xgboost-log-scran-pancreas-random-f1-macro-f1-macro; open-problems-result-multilayer-perceptron-log-scran-pancreas-random-f1-macro-f1-macro; open-problems-result-seurat-reference-mapping-sctransform-pancreas-random-f1-macro-f1-macro; open-problems-result-scanvi-seurat-v3-2000-hvg-pancreas-random-f1-macro-f1-macro; open-problems-result-scanvi-all-genes-pancreas-random-f1-macro-f1-macro; open-problems-result-scarches-plus-scanvi-all-genes-pancreas-random-f1-macro-f1-macro; source ids: expansion-p3-open-problems; source locator: results, dataset(pancreas_random), metric(f1_macro); context: Every method Open Problems label projection reports on Label projection on Pancreas (random split), Macro F1 score, scored with Macro F1 score on Pancreas (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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