{"id":"W4207071890","doi":"10.2196/27486","title":"Constructing an Adapted Cascade of Diabetes Care Using Inpatient Admissions Data: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Glycemic; Population; Diabetes mellitus; Medical prescription; Cross-sectional study; Health care; Emergency medicine; Pediatrics; Environmental health; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007845328,0.0003062529,0.0007886954,0.0003162262,0.0006035987,0.00006762869,0.0004766752,0.0001004293,0.0004827404],"category_scores_gemma":[0.0003722713,0.0003015644,0.0002744698,0.0005599158,0.0001692846,0.0003602444,0.0008072515,0.0005445307,0.000006359565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746625,"about_ca_system_score_gemma":0.0003978229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005909261,"about_ca_topic_score_gemma":0.00008532853,"domain_scores_codex":[0.9964307,0.0003572499,0.0007039091,0.000794286,0.001145131,0.0005687022],"domain_scores_gemma":[0.9974568,0.000132546,0.0003000839,0.001427906,0.0003070074,0.0003756435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003186098,0.0007631918,0.9710115,0.0001969458,0.0005695063,0.00001106885,0.001107599,0.000368558,0.001222434,0.000007021694,0.00005773126,0.02465261],"study_design_scores_gemma":[0.002804976,0.0014406,0.9708135,0.00009098424,0.0004022846,0.000008949615,0.01425689,0.002916695,0.004698211,0.00001814539,0.002155889,0.0003928701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948866,0.00131765,0.000003653813,0.00001570527,0.0005526453,0.001758867,0.001090575,0.0001352908,0.0002389937],"genre_scores_gemma":[0.997219,0.000001945107,0.0008983553,0.00008326196,0.0003500699,0.0002743475,0.001075119,0.0000713677,0.00002653556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02425974,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06121639539498856,"score_gpt":0.3453733382133458,"score_spread":0.2841569428183572,"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."}}