{"id":"W2052854039","doi":"10.1111/j.1463-1326.2005.00540.x","title":"Preventing type 2 diabetes using combination therapy: design and methods of the CAnadian Normoglycaemia Outcomes Evaluation (CANOE) trial","year":2005,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Population Health Research Institute; University Health Network; Hamilton Health Sciences; University of Toronto; Western University","funders":"","keywords":"Medicine; Metformin; Rosiglitazone; Impaired glucose tolerance; Diabetes mellitus; Type 2 diabetes; Internal medicine; Population; Context (archaeology); Insulin resistance; Placebo; Randomized controlled trial; Physical therapy; Endocrinology; Environmental health; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0192528,0.004223492,0.005994803,0.0009382635,0.00173221,0.00170544,0.001850024,0.002419476,0.009624158],"category_scores_gemma":[0.01286268,0.001153617,0.004614688,0.002428041,0.001722776,0.001064434,0.001780099,0.002447686,0.0006525534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007246531,"about_ca_system_score_gemma":0.01874332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1848726,"about_ca_topic_score_gemma":0.2072576,"domain_scores_codex":[0.9834486,0.01176674,0.0006268428,0.001103423,0.00177066,0.0012838],"domain_scores_gemma":[0.9962578,0.001084286,0.0005857173,0.0004800872,0.0008159633,0.000776076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9340664,0.006917218,0.007313521,0.001412783,0.004815901,0.00006049102,0.00018199,0.001505995,0.0004238358,0.001967204,0.004447787,0.03688697],"study_design_scores_gemma":[0.9226227,0.04162955,0.0178605,0.0002597711,0.00646466,0.00003597347,0.0001047372,0.00270205,0.0001865191,0.001602319,0.006409757,0.0001213389],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.5908853,0.02137296,0.0150922,0.004872435,0.002899523,0.31284,0.01861048,0.0003520858,0.03307506],"genre_scores_gemma":[0.6892492,0.00601388,0.0345166,0.003680018,0.001145434,0.24871,0.00656653,0.0000990173,0.0100193],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8151274,"threshold_uncertainty_score":0.367593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225390536253946,"score_gpt":0.3165672046368674,"score_spread":0.2843132992743279,"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."}}