{"id":"W4406200301","doi":"10.1016/j.numecd.2025.103861","title":"Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand","year":2025,"lang":"en","type":"article","venue":"Nutrition Metabolism and Cardiovascular Diseases","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Monash University; Juvenile Diabetes Research Foundation Canada","keywords":"Diabetic ketoacidosis; Type 2 diabetes; Diabetes mellitus; Medicine; Ketoacidosis; Type 1 diabetes; Internal medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164124,0.0007023236,0.0005376511,0.0007688686,0.0003699368,0.0007926547,0.0007002772,0.0005469324,0.0004602682],"category_scores_gemma":[0.005668048,0.0003179219,0.0007039814,0.0006914809,0.0003362132,0.0005449204,0.0005739549,0.001141531,0.0001690804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229095,"about_ca_system_score_gemma":0.0007641274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07588693,"about_ca_topic_score_gemma":0.05329553,"domain_scores_codex":[0.9993586,0.0002140617,0.00005654549,0.0001705406,0.0001370064,0.0000632548],"domain_scores_gemma":[0.9982589,0.0005098502,0.0005134234,0.0001327603,0.0003409933,0.0002442258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003103402,0.0004271401,0.9830164,0.00005722045,0.0002627957,0.0001445938,0.0003204276,0.001468298,0.000358462,0.00003989473,0.0004637695,0.01313064],"study_design_scores_gemma":[0.00004904661,0.0003968915,0.9816601,0.0000360356,0.0001178292,0.0003069685,0.0003189472,0.01654635,0.0001269766,0.0001203085,0.0003055368,0.00001504542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985469,0.0002878961,0.0005765221,0.0001327789,0.000007085549,0.000035254,0.0001963168,0.000008851802,0.0002083605],"genre_scores_gemma":[0.9981003,0.0001924854,0.001093659,0.00004104473,0.000008919833,0.00002962361,0.0003760545,0.000003701611,0.0001542596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07588693,"threshold_uncertainty_score":0.1508905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005589952934583675,"score_gpt":0.226755177333367,"score_spread":0.2211652243987834,"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."}}