{"id":"W3202344016","doi":"10.1177/20406223211046999","title":"Evaluation of optimal medical therapy in acute myocardial infarction patients with prior stroke","year":2021,"lang":"en","type":"article","venue":"Therapeutic Advances in Chronic Disease","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"Capital Health Research and Development of Special Fund","keywords":"Medicine; Stroke (engine); Myocardial infarction; Percutaneous coronary intervention; Mace; Conventional PCI; Internal medicine; Clinical endpoint; Confounding; Medical prescription; Population; Cardiology; Clinical trial","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":[0.0005823532,0.0001836507,0.0003297977,0.0001379684,0.00002095049,0.000006618551,0.0001212932,0.00006580003,0.0005757517],"category_scores_gemma":[0.0001019999,0.0001501024,0.00007551643,0.0003317177,0.0001457059,0.0002202627,0.00005792978,0.0002121786,0.000004301047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008847183,"about_ca_system_score_gemma":0.001797459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005924569,"about_ca_topic_score_gemma":0.00002328324,"domain_scores_codex":[0.9969559,0.0001765218,0.0003727278,0.0003664544,0.001845256,0.0002831386],"domain_scores_gemma":[0.9989902,0.00005944502,0.0001255895,0.0003896314,0.0002903384,0.0001447514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003058893,0.001115086,0.1604194,0.0001042738,0.000580025,0.00007774078,0.0002281561,0.003753065,0.0002766008,0.00007203811,0.00002781352,0.8302869],"study_design_scores_gemma":[0.04606106,0.00117824,0.9178983,0.0007145361,0.001362395,0.000007011633,0.000287152,0.01975458,0.001292331,0.0002214749,0.01081689,0.0004060437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807117,0.01547147,0.0007216642,0.0004659654,0.0001642428,0.0009994438,0.0000221031,0.0000230425,0.00142034],"genre_scores_gemma":[0.9949756,0.003902929,0.000318495,0.0003694712,0.00009167369,0.0001549012,0.0001016655,0.00002500518,0.00006026943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8298808,"threshold_uncertainty_score":0.6304078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633609413278083,"score_gpt":0.3296773881342727,"score_spread":0.3133412940014919,"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."}}