{"mcpName":"station__ml-pipeline__ml-predict","slug":"ml-pipeline__ml-predict","label":"ml-predict","description":"Predict signal probability for drug-event pairs using a trained ML model. Returns 'signal' or 'noise' classification with probability score (0.0-1.0) for each pair.","domainSlug":"ml-pipeline","pvRelevance":"non-pv","backend":"external","agentMetadata":{"idempotent":null,"read_only":null,"expected_latency_ms":null,"cost_tokens_estimate":null,"pipes_to":null},"inputSchema":{"properties":{"model_id":{"description":"Model ID to use for prediction (from ml_train).","type":"string"},"samples":{"description":"Feature vectors to predict. Each is a 12-element array.","items":{"type":"object"},"type":"array"}},"required":["model_id","samples"],"type":"object"},"example":null,"taxonomy":{"rank":{"domain":"Substrata","kingdom":"Constructa","phylum":"Configa","class":"station-config","order":"ml","family":"mcp-tool-config"},"characteristics":{"substrate":"config","domain":"pv","lifecycle":"continuous","stateful":false,"persistence":"none","authority":"read","compounding":"producer","io_input":"agent-request","io_output":"tool-response"}},"_links":{"html":"/tools/ml-pipeline__ml-predict","markdown":"/tools/ml-pipeline__ml-predict/raw.md","invoke":"/api/mcp","catalog":"/api/mcp"}}