{"id":"W2980580622","doi":"10.1177/0885066619878125","title":"Comparative Prognostic Accuracy of Risk Prediction Models for Cardiogenic Shock","year":2019,"lang":"en","type":"article","venue":"Journal of Intensive Care Medicine","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Alberta; University of Calgary","funders":"","keywords":"Medicine; Cardiogenic shock; Internal medicine; Cardiology; Shock (circulatory); Intensive care medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01546882,0.001621035,0.0008729218,0.002811226,0.0003845455,0.001957748,0.001039209,0.0008090085,0.001178851],"category_scores_gemma":[0.04102261,0.000351426,0.001162806,0.001196185,0.0006224259,0.0008367127,0.001024848,0.001020363,0.0004731649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102262,"about_ca_system_score_gemma":0.001370011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009185513,"about_ca_topic_score_gemma":0.005478784,"domain_scores_codex":[0.9959473,0.002174509,0.0002979139,0.0005253009,0.0007872909,0.0002677818],"domain_scores_gemma":[0.9691956,0.02416196,0.002124934,0.001137484,0.002539362,0.000840643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002455324,0.0001969629,0.9189059,0.0001111959,0.001255708,0.0001217828,0.0002184842,0.0289971,0.0003172092,0.0003359527,0.001646312,0.04543814],"study_design_scores_gemma":[0.0002367648,0.001207405,0.4132766,0.0002069124,0.001144687,0.0004641967,0.0004168116,0.5782871,0.0009812955,0.002416028,0.00126693,0.00009530467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821267,0.002091776,0.01150853,0.0006569335,0.0001617607,0.00007452552,0.0008795891,0.0003726969,0.002127555],"genre_scores_gemma":[0.9974574,0.000211689,0.001416464,0.00002364501,0.00002984076,0.0000141507,0.0006965599,0.0000139526,0.000136193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546882,"threshold_uncertainty_score":0.08180791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940641237659379,"score_gpt":0.2753474182278841,"score_spread":0.2459410058512903,"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."}}