{"id":"W4387933992","doi":"10.1016/j.jcjd.2023.10.332","title":"MACHINE-LEARNING FOR THE ELECTROCARDIOGRAM-BASED PREDICTION OF SHORT-TERM AND LONG-TERM MORTALITY AT THE TIME OF DISCHARGE IN A POPULATION-LEVEL COHORT OF PATIENTS WITH ACCESS TO UNIVERSAL HEALTHCARE","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Medicine; Risk stratification; Cohort; Term (time); Acute care; Intensive care medicine; Hospital discharge; Health care; Population; Medical emergency; Emergency medicine; Cardiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003555067,0.00007012391,0.0002838376,0.0002778806,0.00007746955,0.000009071424,0.000090877,0.0000305773,0.000005366429],"category_scores_gemma":[0.00009726649,0.00004245689,0.00008565644,0.0003949754,0.00005098886,0.0000556503,0.000009402567,0.0001135774,5.686679e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008850364,"about_ca_system_score_gemma":0.0001731751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890188,"about_ca_topic_score_gemma":0.009379386,"domain_scores_codex":[0.9992384,0.00005213298,0.0002805588,0.00007918027,0.0001905782,0.000159109],"domain_scores_gemma":[0.9992082,0.0001193204,0.0001875316,0.000109026,0.0002216014,0.0001543022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000297454,0.00001103623,0.9974999,0.00009813144,0.0002531429,0.000001068753,0.0001277442,0.0006164755,0.0001105114,7.87592e-7,0.00001354829,0.001237868],"study_design_scores_gemma":[0.0004704494,0.000334611,0.9968081,0.0002872199,0.0002986983,2.316211e-7,0.00003518484,0.001452404,0.0002749175,0.000002092971,0.000003095528,0.00003297208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989445,0.0001681258,0.00002782271,0.0003737629,0.00003289286,0.0002663638,0.0001822442,0.000002252282,0.000002029144],"genre_scores_gemma":[0.9997942,0.000009449471,0.00001080087,0.00001736057,0.00003338503,0.000004776522,0.0001047508,0.000009655863,0.00001558519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007489198,"threshold_uncertainty_score":0.5233917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292944907560438,"score_gpt":0.2749086696722814,"score_spread":0.251979220596677,"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."}}