{"id":"W3043370368","doi":"10.1136/bmj.b2899","title":"Clinical prediction rules","year":2009,"lang":"en","type":"article","venue":"BMJ","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical prediction rule; Set (abstract data type); Computer science; Medicine; Operations research; Data mining; Artificial intelligence; Mathematics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02877479,0.001852263,0.001533928,0.004584767,0.001744976,0.005995301,0.004105,0.003645549,0.02207149],"category_scores_gemma":[0.1769592,0.0008244684,0.002287533,0.00310477,0.001605471,0.004474166,0.002771584,0.006006151,0.01650044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120325,"about_ca_system_score_gemma":0.006589585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008292469,"about_ca_topic_score_gemma":0.009205898,"domain_scores_codex":[0.9768891,0.009261696,0.003605627,0.00231401,0.007079445,0.0008500331],"domain_scores_gemma":[0.9019223,0.06097848,0.005027235,0.005213393,0.02479714,0.002061509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006083848,0.0003481406,0.02467054,0.001832001,0.0003290522,0.001424888,0.0006698258,0.01319733,0.0003614923,0.1071747,0.4517881,0.3975956],"study_design_scores_gemma":[0.0005714924,0.0003598383,0.007515953,0.005693187,0.0006563845,0.002923047,0.0009480075,0.06543841,0.002409283,0.3895172,0.5236492,0.0003181042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01317289,0.01651439,0.5897028,0.1600343,0.01379249,0.004623269,0.01798973,0.005174935,0.1789952],"genre_scores_gemma":[0.2691494,0.0110561,0.6265174,0.03237961,0.005317467,0.004017653,0.02388871,0.0008732637,0.02680052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02877479,"threshold_uncertainty_score":0.1521774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3418623717227494,"score_gpt":0.5814080069484786,"score_spread":0.2395456352257292,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}