{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150058,0.0001735645,0.0006707886,0.001619409,0.0002649563,0.000623837,0.0002813747,0.0003151883,0.001149089],"category_scores_gemma":[0.007114749,0.0001159876,0.0004286845,0.001548939,0.000177339,0.0004347271,0.0003421401,0.0003456819,0.0001817731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003956189,"about_ca_system_score_gemma":0.0005791661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478233,"about_ca_topic_score_gemma":0.002324783,"domain_scores_codex":[0.9987801,0.0003801209,0.0003908767,0.0001085877,0.0002613308,0.00007901587],"domain_scores_gemma":[0.9962136,0.0008859378,0.00224064,0.0001004065,0.0002770032,0.0002823053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002272859,0.00004983893,0.9931678,0.00008460143,0.00006464859,0.00008214229,0.00003195821,0.00003289716,0.00004616315,0.00001900458,0.0001983673,0.005995297],"study_design_scores_gemma":[0.00002668685,0.0001425356,0.9984906,0.00005310189,0.0000735759,0.0003915654,0.00008973879,0.0002431447,0.00005750018,0.00005833353,0.0003694961,0.000003756218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923855,0.00399585,0.0002010488,0.000437987,0.00002003258,0.00005023115,0.001066044,0.000006742442,0.001836466],"genre_scores_gemma":[0.997161,0.001260547,0.0004261866,0.00009470199,0.0000672063,0.00003456328,0.0008793063,0.000001271243,0.00007533112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619409,"threshold_uncertainty_score":0.006082177,"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."}}