{"base_learner_scores":{"dbscan_is_anom":0,"dbscan_score":0,"n_measurements":0,"p_cat_ANON":0.0001,"p_cat_COMT":0.0002,"p_cat_GRP":0.0003,"p_cat_NEWS":0.0001,"p_classifier":0.1296,"p_corroboration":0.0004,"p_measurement":0,"p_method_http":0.0007,"p_method_tls":0.0005,"stl_zscore_prob":0},"contributions":{"dbscan_is_anom":{"coefficient":0.27953589934341944,"log_odds_contribution":0,"value":0},"dbscan_score":{"coefficient":0.1862285084787871,"log_odds_contribution":0,"value":0},"p_cat_ANON":{"coefficient":0.44832241215565233,"log_odds_contribution":0,"value":0.0001},"p_cat_COMT":{"coefficient":0.4440849444832184,"log_odds_contribution":0.0001,"value":0.0002},"p_cat_GRP":{"coefficient":0.6499264749123036,"log_odds_contribution":0.0002,"value":0.0003},"p_cat_NEWS":{"coefficient":0.1579805347980017,"log_odds_contribution":0,"value":0.0001},"p_classifier":{"coefficient":1.556924495454946,"log_odds_contribution":0.2018,"value":0.1296},"p_corroboration":{"coefficient":-0.24027021984935615,"log_odds_contribution":-0.0001,"value":0.0004},"p_measurement":{"coefficient":-0.9817565075568403,"log_odds_contribution":0,"value":0},"p_method_http":{"coefficient":0.1223721538036462,"log_odds_contribution":0.0001,"value":0.0007},"p_method_tls":{"coefficient":0.8085427027144448,"log_odds_contribution":0.0004,"value":0.0005},"stl_zscore_prob":{"coefficient":-0.014033211637206453,"log_odds_contribution":0,"value":0}},"country":"RU","date":"2026-05-23","honest_caveats":["NEGATIVE FINDING: LOCO median F1 = 0.8750, required >= 0.88. Cross-country generalization of the meta-ensemble is below v3.3's LOCO floor.","All base-model predictions are IN-SAMPLE — they were generated from models trained on (parts of) this same labeled set. A truly honest stacker would use 5-fold OOF predictions from each base model.","Base models have CORRELATED errors (per-method/per-category share features with v3.3; per-measurement is computed from the same evidence). Coefficient magnitudes can flip sign across folds when redundant signals collide.","Per-category and per-method models failed their own promote floors on F1 (0.40-0.50). Their probabilities here may dilute rather than enrich.","Isotonic is fit on the full dataset — final calibration is in-sample. Per-fold isotonic during CV is honest; the served calibrator is not."],"intercept":-1.6584940350130268,"meta_ensemble_probability":0.1213,"meta_ensemble_probability_uncalibrated":0.0857,"note":"Additive endpoint; v3.3 remains the default classifier at /v1/classifier/score/{country}.","passed_promote_gates":false,"schema":"voidly-meta-ensemble-score/v1","_voidly_pay":{"claim_did":"https://voidly.ai/pay/claim","for_builders":"https://voidly.ai/pay/for-builders","marketplace":"https://api.voidly.ai/v1/pay/marketplace","live_demo":"https://huggingface.co/spaces/emperor-mew/voidly-pay","universal_proxy":{"url":"https://api.voidly.ai/v1/pay/proxy","example":"https://api.voidly.ai/v1/pay/proxy?u=<https-url>&to=did:voidly:<your-did>&price=0.01","page":"https://voidly.ai/pay/proxy","note":"Paywall any public HTTPS URL with one query param. No SDK install required."},"install":{"typescript":"npm install @voidly/pay","python":"pip install voidly-pay","langchain":"pip install voidly-pay-langchain","vercel_ai":"npm install @voidly/pay-vercel-ai","mcp":"npx @voidly/pay-mcp","cli":"npm install -g @voidly/pay-cli"},"note":"Voidly Pay is the open agent-to-agent payment rail. Claim a DID + 10 starter credits in 60s, or paywall any URL via the universal proxy with one query param."}}