{"id":"W3083395128","doi":"10.1016/j.jcjd.2020.08.106","title":"Validity of Hospital Codes for Obesity in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"St Joseph's Health Care; London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"Schulich School of Medicine and Dentistry; Western University; Ontario Ministry of Health and Long-Term Care; Academic Medical Organization of Southwestern Ontario; Lawson Health Research Institute","keywords":"Medicine; Obesity; Body mass index; Diagnosis code; Coding (social sciences); Population; Gold standard (test); Diabetes mellitus; Health care; Predictive value; Positive predicative value; Algorithm; Gerontology; Demography; Pediatrics; Internal medicine; Environmental health; Statistics; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311602,0.00006096389,0.000286054,0.00007234432,0.0001673748,0.000003267882,0.0001383329,0.00008186461,0.000379019],"category_scores_gemma":[0.001869664,0.00005476251,0.00003967993,0.00008515811,0.00002726993,0.00008796866,0.000006060189,0.0005007926,0.000001924797],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006958346,"about_ca_system_score_gemma":0.02028072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9404507,"about_ca_topic_score_gemma":0.9992189,"domain_scores_codex":[0.9986914,0.0000926283,0.0006691735,0.00004940592,0.0001449368,0.000352401],"domain_scores_gemma":[0.9979072,0.0003961631,0.0005053642,0.00005264647,0.000270446,0.0008682466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002769588,0.000004049634,0.9529126,0.0002947067,0.000005740664,0.000001777828,0.003327252,0.00001238605,0.000002068264,0.0001165337,0.04315013,0.0001699943],"study_design_scores_gemma":[0.0007530028,0.0003993462,0.9498087,0.0003764856,0.00001350854,7.916549e-8,0.001212583,0.0002578175,0.00004196142,0.0002988147,0.04675588,0.00008178347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912165,0.00005709806,0.00004292685,0.006999519,0.0008102289,0.0002241163,0.00006788881,0.000001716636,0.0005800201],"genre_scores_gemma":[0.9965262,0.000001512715,0.0002008719,0.003058873,0.0001583827,0.000004910976,0.000008550353,0.000004668361,0.00003601682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05876821,"threshold_uncertainty_score":0.9852734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332860965350977,"score_gpt":0.3394451867110204,"score_spread":0.2061590901759227,"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."}}