{"id":"W4402659510","doi":"10.1111/dom.15768","title":"Cardiovascular phenotypes in type 2 diabetes: Latent class analysis of the CANVAS Program and CREDENCE trial","year":2024,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; McGill University Health Centre; Sunnybrook Health Science Centre; Ontario Brain Institute; University of Ottawa; Wilfrid Laurier University; McGill University","funders":"Ministry of Colleges and Universities; Canada Research Chairs; Mach-Gaensslen Foundation of Canada","keywords":"Canagliflozin; Medicine; Phenotype; Type 2 diabetes; Hazard ratio; Internal medicine; Clinical endpoint; Proportional hazards model; Latent class model; Empagliflozin; Diabetes mellitus; Clinical trial; Endocrinology; Confidence interval; Biology; Genetics","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":[0.01090969,0.0007095253,0.00144727,0.0003714722,0.0003694591,0.001198991,0.0005556812,0.0006416182,0.002375817],"category_scores_gemma":[0.007323517,0.0002326409,0.003481255,0.000670563,0.0004279332,0.0006577788,0.0008648525,0.001476299,0.0001805563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657981,"about_ca_system_score_gemma":0.0008275999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876402,"about_ca_topic_score_gemma":0.002189994,"domain_scores_codex":[0.9939353,0.004872057,0.0001584077,0.0004679327,0.000291375,0.0002749354],"domain_scores_gemma":[0.9945788,0.002179041,0.001328564,0.001205011,0.0002840672,0.000424378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.3981462,0.002033792,0.4986496,0.0008519902,0.02931051,0.00009350436,0.000194864,0.005740734,0.001999844,0.001453094,0.005874423,0.05565153],"study_design_scores_gemma":[0.08630228,0.01970652,0.8013699,0.0003814235,0.02541644,0.0003027726,0.0003302136,0.05266385,0.001285228,0.006886256,0.005185695,0.000169368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872149,0.002300575,0.004805655,0.0006524076,0.0001362714,0.0004236483,0.003060892,0.00005175267,0.001353848],"genre_scores_gemma":[0.9941297,0.0003042506,0.00147303,0.00017003,0.0001043623,0.0004658447,0.00289108,0.00001489506,0.0004468378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090969,"threshold_uncertainty_score":0.05769664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288877966421604,"score_gpt":0.2378879050009094,"score_spread":0.2249991253366933,"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."}}