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Decision cockpit for pathology foundation-model benchmarking, built to move from broad coverage scans to task-level evidence.

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Task Evidence

MUT-HET-RCC · setd2_mutation_status (MUT-HET-RCC__SETD2_mutation)

Biomarker & Molecular Profiling / Genomic, Epigenetic & Pathway Alterations

Inspect benchmark evidence for one task at a time: who leads, how stable the split-level results are, and which neighbouring tasks are likely to transfer intuition.

clsL1 · Biomarker & Molecular ProfilingL2 · Genomic, Epigenetic & Pathway AlterationskidneyH&EAnchor evidence

Task metadata

Fields sourced from benchmark_main. Missing values are shown as —.

cls
Identity
task_key
MUT-HET-RCC__SETD2_mutation
dataset_name
MUT-HET-RCC
task_name
setd2_mutation_status
task_type
cls
Taxonomy
task_family_l1
Biomarker & Molecular Profiling
task_family_l2
Genomic, Epigenetic & Pathway Alterations
label_structure
binary
num_classes
2
labels
{"0": "wildtype", "1": "mutant"}
Biology
organ
kidney
stain
H&E
specimen_type
unknown
timepoint
unknown
disease
肾癌
Scale & Labels
patient_n
1236
slide_n
1236
label_source
ihc_fish
label_visibility
indirect
Result Evidence
result_tier
Anchor
result_quality_score
93.9
result_flags
—
result_tier_reason
Stable split behavior: median std 0.035.Clear model separation: significant-win density 0.343.Difficulty sits in a usable range: best mean 0.743.
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Ranked by shared L2 subtype first, then L1 family, organ, type and label structure.