{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007842992,0.0005190549,0.001004303,0.004627521,0.00554321,0.003220857,0.004507599,0.0009332324,0.002681969],"category_scores_gemma":[0.05987866,0.0009067217,0.001084552,0.01202695,0.002504193,0.0008864567,0.002287893,0.001370551,0.0002675111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1006403,"about_ca_system_score_gemma":0.1648314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982357,"about_ca_topic_score_gemma":0.9990114,"domain_scores_codex":[0.9859523,0.002089972,0.001749731,0.001378617,0.0066187,0.002210691],"domain_scores_gemma":[0.9193118,0.01224984,0.01605459,0.002730892,0.04379035,0.00586254],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001412997,0.00004189498,0.9795896,0.0002121553,0.0001478249,0.00007413309,0.002551772,0.0004538634,0.0001038729,0.0008898579,0.00914392,0.006649831],"study_design_scores_gemma":[0.00002913556,0.00001875496,0.9921337,0.0002568299,0.00006265232,0.00003992893,0.002890263,0.001042108,0.00009782743,0.0001661099,0.003233428,0.00002911903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940528,0.003320248,0.0008994059,0.00724512,0.0003728469,0.0004031632,0.02813786,0.00007020795,0.01902307],"genre_scores_gemma":[0.991145,0.0009715586,0.000885677,0.000623908,0.0000385562,0.0001081402,0.00445326,0.00003123958,0.001742782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.992157,"threshold_uncertainty_score":0.7301997,"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."}}