{"id":"W4411325433","doi":"10.1503/cmaj.250057","title":"Building diabetes prevention and remission programs across Canada: learning from England","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Pfizer Canada; Servier; Novo Nordisk; Daiichi-Sankyo; National Institute for Health and Care Research; Dexcom; Insulet Corporation; Diabetes Canada; Sanofi; Amgen; Pfizer; AstraZeneca; UK Research and Innovation; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Diabetes mellitus; Computer science; Medicine; Medical education; Data science; Family medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01136808,0.0007151715,0.0009123946,0.001522172,0.0125485,0.007386252,0.003895772,0.003398133,0.009156683],"category_scores_gemma":[0.01779138,0.0006583522,0.0009449188,0.002321524,0.00369501,0.004327358,0.007606891,0.007431218,0.0009588927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1307935,"about_ca_system_score_gemma":0.4064234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879336,"about_ca_topic_score_gemma":0.9962565,"domain_scores_codex":[0.9867486,0.002438536,0.0006600723,0.0007017968,0.004492928,0.004958154],"domain_scores_gemma":[0.9440458,0.002932784,0.001230944,0.0007848979,0.01969647,0.03130913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000575478,0.0009124189,0.04803296,0.002218199,0.0002049506,0.002523086,0.02880168,0.001177918,0.001677373,0.01524655,0.471232,0.4273974],"study_design_scores_gemma":[0.0007852987,0.0007707357,0.2048933,0.01256366,0.0003844888,0.001000714,0.09079395,0.001674304,0.001262367,0.01116754,0.6741754,0.0005281282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06482914,0.03130275,0.002796789,0.8516514,0.004287496,0.000628855,0.001902501,0.0003747353,0.0422264],"genre_scores_gemma":[0.6388773,0.05878804,0.03349996,0.2206223,0.0019592,0.0009998982,0.002302752,0.0004384816,0.04251203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1307935,"threshold_uncertainty_score":0.9489774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676502618143733,"score_gpt":0.363331097258193,"score_spread":0.3465660710767557,"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."}}