{"id":"W3047329772","doi":"10.1016/j.ahj.2020.07.014","title":"Timing of randomization after an acute coronary syndrome in patients with type 2 diabetes mellitus","year":2020,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"National Institute on Aging; Bayer Canada; Johnson and Johnson; Servier; Roche; Agence Nationale de la Recherche; Boston Scientific Corporation; European Society of Cardiology; Alberta Innovates - Health Solutions; National Institutes of Health; Canadian Cardiovascular Society; Boehringer Ingelheim; Novartis; AstraZeneca Canada","keywords":"Randomization; Medicine; Acute coronary syndrome; Type 2 Diabetes Mellitus; Internal medicine; Diabetes mellitus; Type 2 diabetes; Cardiology; Randomized controlled trial; Myocardial infarction; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002868654,0.0002886428,0.001022487,0.0004709853,0.000487723,0.0006693719,0.0002454184,0.00074935,0.002205346],"category_scores_gemma":[0.01152421,0.000317878,0.0007644165,0.0005351665,0.0001646439,0.0005976186,0.0003743412,0.001004288,0.0002627338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292876,"about_ca_system_score_gemma":0.001186936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009083477,"about_ca_topic_score_gemma":0.001853235,"domain_scores_codex":[0.9969299,0.001867207,0.0003339018,0.0002524332,0.00023786,0.0003786566],"domain_scores_gemma":[0.9951565,0.002055314,0.001436694,0.0001811327,0.0001769064,0.000993413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3483087,0.008310226,0.3794978,0.0007528039,0.0009376635,0.001195524,0.0003595122,0.001990541,0.004205499,0.001387606,0.00586687,0.2471872],"study_design_scores_gemma":[0.03409959,0.06551433,0.8757902,0.0006781789,0.001583168,0.001390454,0.0005452218,0.007097524,0.002676335,0.003944098,0.006527085,0.0001537986],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803315,0.007410063,0.003198524,0.001954899,0.00115949,0.0005702628,0.0002610754,0.00007437767,0.00503973],"genre_scores_gemma":[0.9960808,0.0008361695,0.001435147,0.0005986904,0.0003523336,0.0002317048,0.0001244444,0.00001329514,0.0003274671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002868654,"threshold_uncertainty_score":0.01517105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025975193420081,"score_gpt":0.2427344906389493,"score_spread":0.2324747387047485,"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."}}