{"id":"W4239425167","doi":"10.2337/figshare.14596896","title":"Diabetic Ketoacidosis and Mortality in People With Type 1 Diabetes and Eating Disorders","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eating disorders; Diabetic ketoacidosis; Medicine; Hazard ratio; Type 1 diabetes; Population; Ketoacidosis; Diabetes mellitus; Confidence interval; Pediatrics; Gerontology; Demography; Psychiatry; Internal medicine; Endocrinology; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003752091,0.0001986697,0.0002734212,0.000653829,0.0003587214,0.0005273427,0.0002850474,0.0003080334,0.001203538],"category_scores_gemma":[0.001998469,0.000183891,0.0003989635,0.0009876108,0.0002216266,0.0002691916,0.0003715218,0.0005182032,0.0001436812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055187,"about_ca_system_score_gemma":0.0009643734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.147453,"about_ca_topic_score_gemma":0.1532159,"domain_scores_codex":[0.9996929,0.0000533206,0.00002644106,0.00004386033,0.0001073472,0.00007604912],"domain_scores_gemma":[0.9991022,0.0000859355,0.000462995,0.00002375607,0.0001295022,0.0001956705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003666952,0.00001346155,0.9990119,0.00000968744,0.00002662846,0.00001927842,0.00001633695,0.00002269072,0.00001152354,0.000005423062,0.00008470323,0.0007418295],"study_design_scores_gemma":[0.000003577118,0.00001768882,0.9996744,0.0000128285,0.00001371699,0.00005650158,0.00004389681,0.00008068109,0.000005817715,0.00001125857,0.00007836886,0.000001224901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995416,0.001853019,0.00006492799,0.0002754041,0.0000184772,0.00001313779,0.001219384,0.000004020162,0.001135626],"genre_scores_gemma":[0.9981369,0.0007146943,0.00009119558,0.00006634645,0.00002544395,0.000008494176,0.0007274641,9.084134e-7,0.0002285887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.147453,"threshold_uncertainty_score":0.2931893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005071855478402387,"score_gpt":0.2186249062668977,"score_spread":0.2135530507884953,"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."}}