Experiment runs

Metrics, ceiling headroom, and audit flags for every experiment.

24 runs published

Score trajectory

Overall VCC score across runs — the story is the slope, not any single point.

Score trajectory: -0.948 → 0.031 (Δ +0.979 over 19 runs)

Cross-experiment matrix

Every run, side by side — how accurate, how much room is left, and whether it passes our biology checks.

Run ID	Strategy	Status	Progress	Score	PDS	Audit
k001-mean-shift-baseline	`mean-shift`	probe · mock data	38%	0.120	0.080	2 warn	Inspect →
k002-vcc2025-validation-mean-shift	`mean-shift`		58%	0.000	—	clean	Inspect →
k003-mean-shift-validation	`mean-shift`		6%	-0.948	0.000	clean	Inspect →
k004-layer-a-b-validation	`layer-a-b`		85%	-0.149	0.002	clean	Inspect →
k004-real-resampling-validation	`control-cell resampling`		70%	-0.304	-0.009	clean	Inspect →
k005-atlas-prior-validation	`atlas-prior`		85%	—	—	clean	Inspect →
k006-replogle-prior-validation	`replogle-prior`		98%	-0.021	0.265	clean	Inspect →
k007-neighbor-prior-validation	`replogle-prior+neighbor-imputation`		99%	-0.016	0.269	clean	Inspect →
k008-kd-heterogeneity-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd`		99%	-0.011	0.272	clean	Inspect →
k008-kd-s0p7-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=0.7)`		99%	0.001	0.282	clean	Inspect →
k008-kd-s1p0-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=1.0)`		99%	0.015	0.297	clean	Inspect →
k008-kd-s1p3-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=1.3)`		99%	0.029	0.311	clean	Inspect →
k008-kd-s1p7-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=1.7)`		99%	0.043	0.326	clean	Inspect →
k008-kd-s2p0-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=2.0)`		99%	0.051	0.336	clean	Inspect →
k009-gamma-kd-s1p4-validation	`replogle-prior+neighbor-imputation+gamma-kd(kd_std=1.4, eta_max=5.0, library_cap=median)`		99%	-0.001	0.204	clean	Inspect →
k009-gamma-kd-s2p0-validation	`replogle-prior+neighbor-imputation+gamma-kd(kd_std=2.0, eta_max=5.0, library_cap=median)`		99%	0.007	0.208	clean	Inspect →
k010-mean-corrected-kd-s2p0-validation	`replogle-prior+neighbor-imputation+mean-corrected-kd(kd_std=2.0)`		99%	0.009	0.288	clean	Inspect →
k010-mean-corrected-kd-s4p0-validation	`replogle-prior+neighbor-imputation+mean-corrected-kd(kd_std=4.0)`		99%	0.012	0.290	clean	Inspect →
k011-delta-scale-x1p3-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=2.0)+delta_scale(1.3)`		99%	0.056	0.304	clean	Inspect →
k011-delta-scale-x1p7-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=2.0)+delta_scale(1.7)`		99%	0.060	0.339	clean	Inspect →
k011-delta-scale-x2p0-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=2.0)+delta_scale(2.0)`		99%	0.057	0.356	clean	Inspect →
k012-lineage-score	`mean-shift`		6%	—	—	1 warn	Inspect →
k012-transfer-loo	`mean-shift`		6%	—	—	clean	Inspect →
k013-context-scale-validation	`replogle-prior+neighbor-imputation+heterogeneous-kd(kd_std=2.0)+per_context_delta_scale(A=1.7,B=2.65,C=0.75)`		99%	0.031	0.306	clean	Inspect →