{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000188477,0.0000821951,0.0001033972,0.00009704289,0.0001225789,0.000006260968,0.00002472503,0.000144171,0.0001404603],"category_scores_gemma":[0.00005571473,0.00006827436,0.00007368252,0.000162986,0.000055778,0.00006100234,0.000008700386,0.00007053701,0.00004983823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094963,"about_ca_system_score_gemma":0.00006129651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001988261,"about_ca_topic_score_gemma":0.00002167782,"domain_scores_codex":[0.9991897,0.00001482499,0.0002117725,0.0001899737,0.0002559282,0.0001378546],"domain_scores_gemma":[0.9994261,0.0000263422,0.00008017851,0.000110315,0.0002533931,0.0001036213],"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":[0.001384712,0.001469235,0.0480428,0.0005557815,0.0003663322,0.000001459264,0.008136192,0.0003449135,0.3825056,0.003635599,0.002950707,0.5506066],"study_design_scores_gemma":[0.000757441,0.0005827378,0.969932,0.0001341546,0.00005986194,0.000005821631,0.00009979908,0.003448857,0.007083593,0.003886051,0.01388642,0.0001232699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818739,0.0000427177,0.01265777,0.003677124,0.000409699,0.001013912,0.000004589336,0.00005286461,0.0002674561],"genre_scores_gemma":[0.9975825,0.00000418695,0.001177332,0.0005076815,0.000484226,0.00005378508,0.00007481359,0.00001533104,0.0001001437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9218892,"threshold_uncertainty_score":0.2784147,"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."}}