{"id":"W2086500154","doi":"10.1016/j.ahj.2005.07.013","title":"Evaluating the performance of the Global Registry of Acute Coronary Events risk-adjustment index across socioeconomic strata among patients discharged from the hospital after acute myocardial infarction","year":2006,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Medicine; Socioeconomic status; Logistic regression; Myocardial infarction; Cohort; Demography; National Death Index; Mortality rate; Framingham Risk Score; Internal medicine; Hazard ratio; Population; Confidence interval; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0008831206,0.0002261199,0.0004629998,0.00002561259,0.0005370925,0.00004379099,0.0004308406,0.00007902455,0.00008407754],"category_scores_gemma":[0.00007016439,0.0001213497,0.0004850748,0.0002508406,0.00115911,0.0002470783,0.0002853248,0.0009661047,0.00001334112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281532,"about_ca_system_score_gemma":0.0003381689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216833,"about_ca_topic_score_gemma":0.00002577866,"domain_scores_codex":[0.9969227,0.0005498083,0.0007273629,0.0002667615,0.001076055,0.0004573127],"domain_scores_gemma":[0.9977522,0.0001515435,0.0009820779,0.0006679779,0.0003289766,0.0001172483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008850989,0.0001345622,0.9906507,0.000003778653,0.001327349,0.00000206494,0.0003410459,0.0002888119,0.0002836906,7.977183e-7,0.003057004,0.003025055],"study_design_scores_gemma":[0.001353008,0.001158016,0.9946889,0.00005567279,0.0005145732,0.00007153232,0.0006964972,0.0009854533,0.0001506433,0.00003622058,0.0001726686,0.000116837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944126,0.0001007103,0.00002019495,0.003204168,0.0006983251,0.000728153,0.000793338,0.00001008796,0.00003240558],"genre_scores_gemma":[0.9979859,0.0002601035,0.0001327397,0.0008263576,0.0006498077,0.00004377499,0.00003762036,0.00002338988,0.0000403046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004038136,"threshold_uncertainty_score":0.4948497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243576368608847,"score_gpt":0.3284472485473185,"score_spread":0.3160114848612301,"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."}}