{"id":"W4207017420","doi":"10.1093/ehjacc/zuac012","title":"A pragmatic lab-based tool for risk assessment in cardiac critical care: data from the Critical Care Cardiology Trials Network (CCCTN) Registry","year":2022,"lang":"en","type":"article","venue":"European Heart Journal Acute Cardiovascular Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto General Hospital; University of Toronto","funders":"National Heart, Lung, and Blood Institute; NIH Clinical Center; National Institutes of Health","keywords":"Medicine; Coronary care unit; Risk stratification; Intensive care unit; Intensive care medicine; Clinical decision making; Clinical trial; Cardiology; Intensive care; Clinical Practice; Internal medicine; Emergency medicine; Myocardial infarction; Family 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008294774,0.0005649306,0.002703923,0.0001240906,0.001367519,0.0002976074,0.000859476,0.0001330288,0.0001111251],"category_scores_gemma":[0.005776993,0.0004166631,0.0039666,0.0003755655,0.0002106302,0.0001574227,0.0007585523,0.001987237,0.00002198194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093477,"about_ca_system_score_gemma":0.0009841695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115123,"about_ca_topic_score_gemma":0.0000107905,"domain_scores_codex":[0.9801826,0.01485515,0.001336479,0.001174095,0.001505441,0.0009462222],"domain_scores_gemma":[0.9901549,0.005218203,0.0002200898,0.003174963,0.0008444013,0.0003874454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002134677,0.0006824555,0.5871302,0.001544214,0.03494858,0.02747597,0.007489218,0.04291145,0.00008543225,0.0002407773,0.2613146,0.03404232],"study_design_scores_gemma":[0.01125659,0.001851185,0.1650539,0.000613903,0.02927168,0.001640106,0.02789097,0.0002851337,0.00003351329,0.00006725303,0.7611604,0.0008753943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2026855,0.7177737,0.01095224,0.01457813,0.01184576,0.009409627,0.02985278,0.000306455,0.002595755],"genre_scores_gemma":[0.9785748,0.001297049,0.008245913,0.001975005,0.005563837,0.0005037446,0.00364784,0.0001846616,0.00000710862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7758893,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1595674448865773,"score_gpt":0.4135508181669047,"score_spread":0.2539833732803274,"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."}}