{"id":"W4384340137","doi":"10.1161/strokeaha.122.042053","title":"Baseline Cardiovascular Risk Factor Control in Patients With Type 2 Diabetes and Coronary Disease Versus Stroke: Secondary Analysis of Cardiovascular Outcome Trials","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Advancing Translational Sciences; Lilly Deutschland; Amicus Therapeutics; Biogen; Yale University; Novo Nordisk; Intarcia Therapeutics; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Chiesi Farmaceutici; Sanofi; Amgen; Pfizer; ZOLL Medical Corporation","keywords":"Medicine; Stroke (engine); Internal medicine; Risk factor; Diabetes mellitus; Disease; Type 2 diabetes; Cardiology; Secondary prevention; Coronary heart disease; Clinical trial; Endocrinology","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":[0.02457958,0.001500414,0.006887492,0.001838336,0.0004967386,0.002191648,0.0008490013,0.001377138,0.003301434],"category_scores_gemma":[0.03157527,0.0004682276,0.01037407,0.002403239,0.0005702975,0.001287433,0.001105808,0.00204078,0.0003143495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356669,"about_ca_system_score_gemma":0.000823041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006329025,"about_ca_topic_score_gemma":0.000959176,"domain_scores_codex":[0.9627639,0.02573905,0.005029234,0.003601483,0.002166784,0.000699607],"domain_scores_gemma":[0.9703959,0.016636,0.007576277,0.002398835,0.001933638,0.001059347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4884237,0.0008580567,0.1810879,0.01322605,0.2820698,0.000251007,0.0001728182,0.001603375,0.001346527,0.0008254373,0.005952619,0.02418267],"study_design_scores_gemma":[0.2402791,0.03308451,0.4498578,0.002417773,0.2453187,0.00130767,0.0003655897,0.009298234,0.001636841,0.005058418,0.01108344,0.0002918009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511713,0.1113284,0.007182199,0.001540212,0.001620771,0.003839647,0.01624638,0.0002027517,0.006868475],"genre_scores_gemma":[0.9792461,0.005139087,0.001890171,0.0008494958,0.0007524909,0.003609057,0.007709058,0.00005636361,0.0007482138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457958,"threshold_uncertainty_score":0.1299908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089364402887275,"score_gpt":0.2558380100810967,"score_spread":0.2349443660522239,"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."}}