{"id":"W4281723197","doi":"10.1007/s00125-022-05722-5","title":"Obesity in late adolescence and incident type 1 diabetes in young adulthood","year":2022,"lang":"en","type":"article","venue":"Diabetologia","topic":"Diabetes Management and Research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Overweight; Type 2 diabetes; Percentile; Obesity; Diabetes mellitus; Body mass index; Incidence (geometry); Type 1 diabetes; Demography; Pediatrics; Proportional hazards model; Childhood obesity; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006294323,0.0001117722,0.0002881424,0.000321427,0.00006768881,0.00001815794,0.0001486523,0.00004776641,0.0001592914],"category_scores_gemma":[0.0001969941,0.0001030903,0.00002599363,0.0006656459,0.00007513383,0.0000684433,0.0004706563,0.0004654016,0.00002146707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175605,"about_ca_system_score_gemma":0.00003947289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004889465,"about_ca_topic_score_gemma":0.0001048958,"domain_scores_codex":[0.998636,0.0001398867,0.0002041795,0.0002998009,0.000276011,0.0004441218],"domain_scores_gemma":[0.9995996,0.00005803674,0.0000411438,0.000197381,0.00002956761,0.00007421927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004101827,0.0002575291,0.994608,0.0001197762,0.00001121611,0.00008648885,0.0002076503,0.00002813328,0.0007300568,0.0001124169,0.0002469132,0.003550803],"study_design_scores_gemma":[0.0009723068,0.0002622647,0.9955019,0.00006537402,0.0000105606,5.308507e-7,0.0001548445,0.002147306,0.0002534225,0.0003280528,0.000191148,0.0001122736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968858,0.0006255067,4.445804e-7,0.000474662,0.0001545104,0.0004167659,0.000003009864,0.00003564847,0.001403647],"genre_scores_gemma":[0.9989544,0.00007689454,0.0000574047,0.0002840345,0.00001728568,0.00005966277,0.00002280934,0.00001152716,0.000515987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003438529,"threshold_uncertainty_score":0.4203899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427868791591513,"score_gpt":0.2676921418074236,"score_spread":0.2534134538915085,"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."}}