{"id":"W2803910492","doi":"10.1093/pch/pxy054.007","title":"LET’S MAKE A DIFFERENCE: EARLY SCREENING FOR PREDIABETES AND TYPE 2 DIABETES IN CANADIAN ABORIGINAL YOUTH","year":2018,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Prediabetes; Type 2 diabetes; Medicine; Diabetes mellitus; Pediatrics; Demography; Gerontology; Endocrinology; Sociology","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":[0.001187726,0.0002836915,0.0004385854,0.001092632,0.0044681,0.0013903,0.001375331,0.0004957682,0.001908946],"category_scores_gemma":[0.00394796,0.0002143089,0.0004543499,0.00285337,0.0007879275,0.0005955892,0.0009415936,0.0009509583,0.0001331202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01450768,"about_ca_system_score_gemma":0.03807651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885426,"about_ca_topic_score_gemma":0.9930153,"domain_scores_codex":[0.9987903,0.0001191144,0.00005487092,0.000100953,0.000534145,0.0004005602],"domain_scores_gemma":[0.9984215,0.0001086419,0.0002151875,0.0000355937,0.0006753135,0.0005437353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001568824,0.0001533026,0.9482534,0.0002560718,0.00005429114,0.0005034586,0.01077912,0.00008421706,0.000238804,0.0003707624,0.003758028,0.03539169],"study_design_scores_gemma":[0.000007803725,0.00006875184,0.9841197,0.000250073,0.00006647516,0.0002070802,0.01155031,0.000148256,0.00007394308,0.00008884125,0.003394426,0.00002426134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802952,0.005852794,0.0002008563,0.003760822,0.0001101179,0.0001727851,0.001192372,0.0000127679,0.008402219],"genre_scores_gemma":[0.9956547,0.002058029,0.0005225189,0.0005386201,0.00003014849,0.00004311178,0.0003262767,0.000004510815,0.0008220392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450768,"threshold_uncertainty_score":0.105261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457948493252863,"score_gpt":0.3133689819745651,"score_spread":0.2887894970420364,"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."}}