{"id":"W4384807211","doi":"10.1016/j.diabres.2023.110833","title":"Optimal medical therapy improves outcomes in patients with diabetes mellitus and acute myocardial infarction","year":2023,"lang":"en","type":"article","venue":"Diabetes Research and Clinical Practice","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"","keywords":"Medicine; Internal medicine; Myocardial infarction; Acute coronary syndrome; Diabetes mellitus; Ejection fraction; Propensity score matching; Clinical endpoint; Revascularization; Confounding; Percutaneous coronary intervention; Cardiology; Clinical trial; Heart failure","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00775712,0.0002447579,0.0007317437,0.0005246707,0.0002453257,0.0001735523,0.0001938115,0.0003854881,0.00006884459],"category_scores_gemma":[0.01555413,0.0001706996,0.0001121354,0.001131773,0.00121904,0.0006647967,0.0004175515,0.002211094,0.0001038598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006782224,"about_ca_system_score_gemma":0.0003164735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007048616,"about_ca_topic_score_gemma":0.0000038102,"domain_scores_codex":[0.9939398,0.001105385,0.0006811575,0.000750889,0.002417055,0.001105726],"domain_scores_gemma":[0.9880124,0.009614464,0.000108141,0.0004472556,0.0008818121,0.0009358688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001906253,0.0007911891,0.8878567,0.0000306767,0.001318913,0.00005114014,0.00006289291,5.128416e-7,0.00007441692,0.00003202035,0.002383714,0.1054916],"study_design_scores_gemma":[0.006692057,0.005933774,0.9669945,0.00006123864,0.00007474262,0.000002386977,0.0002142881,0.0007649046,0.00005553416,0.00007606294,0.0189426,0.0001879245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631211,0.0004958133,0.000001869489,0.03430554,0.0001578219,0.001104228,0.00002148742,0.00009014718,0.0007020129],"genre_scores_gemma":[0.9796893,0.01342484,0.0005156037,0.005323642,0.0003578722,0.0002018429,0.0001052482,0.00006479772,0.0003168283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053037,"threshold_uncertainty_score":0.9927383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843130382982369,"score_gpt":0.4331033654253951,"score_spread":0.3846720615955714,"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."}}