{"id":"W2037963429","doi":"10.1111/j.1399-5448.2009.00539.x","title":"Validation of a health administrative data algorithm for assessing the epidemiology of diabetes in Canadian children","year":2009,"lang":"en","type":"article","venue":"Pediatric Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; McGill University; Children's Hospital of Eastern Ontario; SickKids Foundation; University of Toronto; Public Health Ontario; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Epidemiology; Diabetes mellitus; MEDLINE; Algorithm; Data science; Computer science; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006787286,0.001121399,0.0009992932,0.005138207,0.001733848,0.001816111,0.002418024,0.0006617523,0.0015315],"category_scores_gemma":[0.03101524,0.0004682633,0.0008593742,0.003864731,0.0003936688,0.0006793306,0.00118291,0.0008009902,0.0003910248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01690166,"about_ca_system_score_gemma":0.02944835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9237105,"about_ca_topic_score_gemma":0.9065087,"domain_scores_codex":[0.9947048,0.000675313,0.0006925279,0.0009001344,0.002554236,0.0004729833],"domain_scores_gemma":[0.9865498,0.001696569,0.001332663,0.0004111921,0.009581096,0.0004286723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003081656,0.0001294486,0.8842424,0.0002474839,0.0003110248,0.0001437149,0.0002418815,0.0103578,0.0008638251,0.000798121,0.01571541,0.08664057],"study_design_scores_gemma":[0.0002979655,0.0001140122,0.8232127,0.0002736591,0.0003397033,0.0003950339,0.000426276,0.157618,0.002088026,0.0005586512,0.01459543,0.00008054077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7839907,0.003164559,0.1169674,0.002614442,0.0002725291,0.00479056,0.06478627,0.003748017,0.01966556],"genre_scores_gemma":[0.7756833,0.0009046149,0.1920807,0.0003658152,0.00004515907,0.001266407,0.02765337,0.0001346397,0.00186604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07628953,"threshold_uncertainty_score":0.1534776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05897887206039174,"score_gpt":0.358435154068729,"score_spread":0.2994562820083372,"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."}}