Donor Artefact Schemas

donor_eval_results.csv

Each row is a treated-candidate donor pair. Maintained columns include treatment and donor IDs; composite, fit, correlation, and seasonality scores; design-stage recommendation weight and role; rank; quality labels; warnings; metric failure reasons; correlation and its p-value; RMSE, percentage RMSE, MAPE, DTW; and metrics_complete.

Score normalisation and ranking occur within each treated geography. Cross- treatment score values are therefore not a common absolute scale.

donor_pool_quality.json

Schema 1.0 records run configuration, an overall summary, and by_treatment summaries. Summary fields include recommendation counts, quality distribution, warning and metric-failure counts, weight role, maximum weight, dominant donor count, effective donor count, score and correlation summaries, strength score, and quality_assessment.

quality_assessment is a deterministic screening label derived from configured thresholds. It is not a test of exchangeability and does not guarantee good SparseSC fit.