{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002843176,0.0001609917,0.0008105742,0.0001785408,0.00001811449,0.000004082912,0.0001651204,0.000083061,0.00005330677],"category_scores_gemma":[0.002131705,0.0001167805,0.0002220344,0.0001407106,0.00004526701,0.0001940393,0.00001521968,0.0002942133,0.000004569195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042466,"about_ca_system_score_gemma":0.00005314471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004400498,"about_ca_topic_score_gemma":0.000002821194,"domain_scores_codex":[0.9985269,0.00004131679,0.0007829037,0.000114843,0.0003721565,0.0001619058],"domain_scores_gemma":[0.9912917,0.0007097203,0.0004504964,0.0001821777,0.007243733,0.0001221569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001067775,0.00005936395,0.1004046,0.003376331,0.00471209,0.00009068947,0.05074935,0.7248386,0.05448109,0.0005220175,0.05385806,0.005840102],"study_design_scores_gemma":[0.01561807,0.009806299,0.05211654,0.008693161,0.005519773,0.001063589,0.2718452,0.565179,0.05746597,0.005061003,0.006451614,0.001179836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585017,0.007661072,0.03044306,0.00008082074,0.002219444,0.0006114914,0.00009399547,0.00003094304,0.0003574641],"genre_scores_gemma":[0.999014,0.00008800062,0.0003217512,0.0001314209,0.0003936113,0.000006508839,0.00001707254,0.00002277123,0.000004911654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2210958,"threshold_uncertainty_score":0.4762171,"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."}}