{"id":"W1474325398","doi":"10.24095/hpcdp.30.3.05","title":"Trends in diabetes treatment in Canadians, 1994–2004","year":2010,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Calgary; University of Ottawa","funders":"","keywords":"Medicine; Diabetes mellitus; Population health; Population; Medical prescription; Community health; Drug treatment; Family medicine; Gerontology; Physical therapy; Demography; Environmental health; Internal medicine; Public health; Endocrinology; Pharmacology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001034639,0.0003489988,0.0004871213,0.003238944,0.002105235,0.0009937921,0.001509623,0.0006826028,0.001806408],"category_scores_gemma":[0.004425726,0.0002982509,0.0006529727,0.008918845,0.0003894496,0.0005114368,0.000578388,0.0009962911,0.0002317905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03966511,"about_ca_system_score_gemma":0.03989118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949787,"about_ca_topic_score_gemma":0.9959668,"domain_scores_codex":[0.9978161,0.0001108302,0.0001875135,0.0002448647,0.001093725,0.000547029],"domain_scores_gemma":[0.9940377,0.000164374,0.001167869,0.00006046071,0.003875063,0.0006944724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002446918,0.0000792182,0.9638747,0.0002882569,0.0001622072,0.00007273112,0.0005040023,0.0003633653,0.0002142072,0.0001654417,0.0115942,0.02243713],"study_design_scores_gemma":[0.0000140114,0.00002797996,0.9945485,0.00004801709,0.00004193676,0.00005591321,0.0005498513,0.0002914019,0.00008073654,0.0000102548,0.004320693,0.00001069151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811885,0.009395283,0.0005279371,0.00585311,0.0001625834,0.0001909348,0.09105064,0.0001384432,0.01149253],"genre_scores_gemma":[0.960347,0.004345599,0.001129408,0.0009680127,0.00005637227,0.0001144179,0.03052346,0.00001893287,0.002496819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03966511,"threshold_uncertainty_score":0.2877919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004007281400515894,"score_gpt":0.2175843387298981,"score_spread":0.2135770573293822,"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."}}