evaluation · needs review

C2S (GPT-2 Large): Combinatorial cell-label classification

Evaluation procedure

Partial-credit labels including cell type, perturbation, and dose.

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Evaluated configurationMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
C2S (GPT-2 Large): Combinatorial cell-label classification Model: C2S (GPT-2 Large) · Benchmark: Combinatorial cell-label classification · Dataset: L1000 Partial-credit labels including cell type, perturbation, and dose. Author-reported evaluation · Evaluation metadata: needs review
0.631 Partial-label accuracy Unit: unitless · Direction: unknown	Uncertainty: ± 0.0031 Scored: Not reported · Eligible: Not reported	source checkedCell2Sentence: Teaching Large Language Models the Language of Biology · Table 3, Partial label / C2S (GPT-2 Large) row, L1000 Acc column Source checking is not independent reproduction.

Release 2026-09-16-d74d282221a9 · Record review: needs review

Technical metadata and extraction receipts

Stable ID: evaluation-lit-027

areas: cells-tissues
tasks: Combinatorial cell-label classification
origin: author_reported
protocol: Partial-credit labels including cell type, perturbation, and dose.
version: GPT-2 Large
comparison: protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata: dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract

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