{"id":"W4395036928","doi":"10.1161/circ.138.suppl_1.16771","title":"Abstract 16771: Patient Selection for Therapies to Prevent Major Adverse Limb Events","year":2018,"lang":"en","type":"article","venue":"Circulation","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre Intégré de Santé et de Services Sociaux des Laurentides","funders":"","keywords":"Medicine; Adverse effect; Intensive care medicine; Selection (genetic algorithm); Physical medicine and rehabilitation; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002674943,0.000206106,0.0005906485,0.0003105797,0.0001776006,0.0006277672,0.0002366242,0.0004454317,0.007346118],"category_scores_gemma":[0.005320256,0.00006035495,0.0004146302,0.0002977299,0.0001854834,0.0002944039,0.0002951481,0.0005570676,0.001033515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060893,"about_ca_system_score_gemma":0.0005861424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001347622,"about_ca_topic_score_gemma":0.0002025829,"domain_scores_codex":[0.9984603,0.0008530859,0.0001316918,0.000147884,0.0003413895,0.00006575332],"domain_scores_gemma":[0.9974208,0.001163308,0.0007502746,0.0001359187,0.0002220993,0.0003076493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01937701,0.0006642688,0.3861644,0.0008774798,0.0006258221,0.0002555551,0.0001012578,0.00131193,0.00416547,0.001809162,0.03580812,0.5488394],"study_design_scores_gemma":[0.00900027,0.01158587,0.9285395,0.0006058228,0.001271374,0.002126609,0.0001875746,0.009900854,0.004189735,0.005507456,0.02699287,0.00009192764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954425,0.008090213,0.00636702,0.007643285,0.0004733615,0.000728735,0.003016912,0.0001910052,0.01906459],"genre_scores_gemma":[0.9896871,0.001295934,0.003132178,0.001870555,0.0008262778,0.0003140836,0.001999555,0.00001333613,0.0008608621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007346118,"threshold_uncertainty_score":0.02457523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309074388819562,"score_gpt":0.3050725560743212,"score_spread":0.2819818121861256,"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."}}