{"id":"W2911436921","doi":"10.1016/j.jcjd.2019.01.008","title":"Risk Factors for Recurrent Diabetic Ketoacidosis in Adults With Type 1 Diabetes","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Université Laval; Diabetes Canada; Eli Lilly and Company","keywords":"Medicine; Diabetic ketoacidosis; Odds ratio; Diabetes mellitus; Retrospective cohort study; Internal medicine; Type 2 diabetes; Logistic regression; Pediatrics; Risk factor; Multivariate analysis; Glycated hemoglobin; Ketoacidosis; Type 1 diabetes; Insulin; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002554685,0.000199946,0.0003195455,0.0002049504,0.00005804053,0.00004568911,0.0002485152,0.0001414545,0.00004541056],"category_scores_gemma":[0.0003492592,0.0001643303,0.0001421871,0.0002110643,0.00006036145,0.00001443087,0.00001229835,0.0001674763,0.000005528294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000578464,"about_ca_system_score_gemma":0.0004331894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009859223,"about_ca_topic_score_gemma":0.004677761,"domain_scores_codex":[0.9987106,0.00005772249,0.0003040975,0.0002217581,0.0001112829,0.0005945068],"domain_scores_gemma":[0.9988813,0.00007349084,0.0002805624,0.0001828625,0.000231719,0.0003499957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001961186,0.0000308677,0.9944746,0.00004665037,0.0001460472,3.620233e-7,0.0001215776,0.0001553184,0.001649515,0.000005510281,0.001036468,0.002313399],"study_design_scores_gemma":[0.00576573,0.009233496,0.9269083,0.0009778739,0.0002220691,3.714935e-7,0.001521608,0.0003281047,0.03410102,0.0003379727,0.01953771,0.001065821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958154,0.00310958,0.000001484939,0.0000858057,0.0004367142,0.0002627365,0.0001194495,0.000002563991,0.0001662424],"genre_scores_gemma":[0.9994374,0.0000689441,0.0001002786,0.0001209776,0.00008530345,0.000008571034,0.00008014999,0.00003569002,0.0000626769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06756644,"threshold_uncertainty_score":0.6701195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004120748809818691,"score_gpt":0.1894483297780315,"score_spread":0.1853275809682128,"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."}}