{"id":"W2756897374","doi":"10.1016/j.cjca.2017.07.385","title":"COMPARATIVE PROGNOSTIC ACCURACY OF CARDIOGENIC SHOCK RISK PREDICTION MODELS","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Cardiogenic shock; Internal medicine; Shock (circulatory); Cardiology; Intensive care medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01661147,0.001774628,0.001427872,0.003104777,0.0005611125,0.002339364,0.001281501,0.001384661,0.003885192],"category_scores_gemma":[0.04051296,0.0004094611,0.001842609,0.001339847,0.0005525887,0.001864759,0.00105145,0.001348141,0.001417528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008818615,"about_ca_system_score_gemma":0.001236627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991412,"about_ca_topic_score_gemma":0.003698093,"domain_scores_codex":[0.9964958,0.001850911,0.0003516457,0.0005110513,0.0004988522,0.0002918349],"domain_scores_gemma":[0.9573724,0.03594793,0.001202408,0.001533424,0.003055732,0.0008880847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01152579,0.0007260091,0.7901983,0.0003218225,0.002932779,0.0003923382,0.0004674049,0.06490136,0.0008425878,0.001383229,0.006822349,0.1194861],"study_design_scores_gemma":[0.0007711187,0.002887206,0.3137925,0.0002980155,0.003644861,0.0008348515,0.0008649905,0.6656214,0.002178671,0.006155377,0.002740865,0.0002102057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746042,0.002853622,0.01132631,0.001771271,0.0004223845,0.0001003528,0.004489939,0.0003664305,0.004065374],"genre_scores_gemma":[0.9933391,0.0005537304,0.001905964,0.00007370451,0.0001241599,0.00003011331,0.003421319,0.00004712426,0.000504641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01661147,"threshold_uncertainty_score":0.08785093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757634582302648,"score_gpt":0.2963910116934775,"score_spread":0.258814665870451,"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."}}