{"id":"W2129613212","doi":"10.1111/j.1399-5448.2011.00795.x","title":"Validation of classification algorithms for childhood diabetes identified from administrative data","year":2011,"lang":"en","type":"article","venue":"Pediatric Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Provincial Health Services Authority; Kruger (Canada); University of British Columbia; Ministry of Health; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Algorithm; Type 2 diabetes; Diabetes mellitus; Type 1 diabetes; Epidemiology; Pediatrics; Data mining; Database; Internal medicine; Endocrinology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002951039,0.0001791294,0.0002227996,0.00006435566,0.00006754504,0.00003020658,0.0005088878,0.0001644692,0.00003700474],"category_scores_gemma":[0.0004055705,0.0001812364,0.0001016227,0.0001583663,0.00005428778,0.00002639221,0.0001432558,0.00005544534,0.00000811777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006767732,"about_ca_system_score_gemma":0.00009439516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001455757,"about_ca_topic_score_gemma":0.00000442133,"domain_scores_codex":[0.9986073,0.00005507184,0.0003658378,0.0005192084,0.0001498194,0.0003027486],"domain_scores_gemma":[0.9987311,0.00008641869,0.0003513726,0.0006064857,0.0001522424,0.00007243104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003003476,0.0010537,0.8716468,0.00009485285,0.0005456977,1.386521e-7,0.0003516548,0.000003578556,0.1045423,0.0001185943,0.008631678,0.01298096],"study_design_scores_gemma":[0.001523613,0.0005732724,0.3904793,0.0000158554,0.0005827426,2.738809e-8,0.0004044991,0.0005792894,0.6014169,0.002738176,0.001131377,0.0005549462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995562,0.001097318,0.000307122,0.00003280139,0.0002563583,0.0003732332,0.001788593,0.00002199016,0.0005606192],"genre_scores_gemma":[0.9878957,0.0001639767,0.002500083,0.00005280349,0.0004097803,0.00008197779,0.00880421,0.0000299139,0.00006151556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4968746,"threshold_uncertainty_score":0.7390606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06028097476215149,"score_gpt":0.2848590601494373,"score_spread":0.2245780853872858,"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."}}