{"id":"W4402989204","doi":"10.1016/j.orcp.2024.09.275","title":"Overweight and obesity code (E66) trends and predictors in Canada: Cross-sectional analysis of Discharge Abstract Data (DAD), 2018–2022","year":2024,"lang":"en","type":"article","venue":"Obesity Research & Clinical Practice","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Overweight; Cross-sectional study; Obesity; Environmental health; Medicine; Gerontology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03418487,0.0001514487,0.000579268,0.0006072716,0.0008072157,0.00007776004,0.0004408518,0.0003702193,0.001392611],"category_scores_gemma":[0.02561185,0.000126804,0.00006281435,0.001664366,0.0003611997,0.001267792,0.0008329129,0.004375797,0.00003953143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005606817,"about_ca_system_score_gemma":0.004737407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5048128,"about_ca_topic_score_gemma":0.6321934,"domain_scores_codex":[0.9926719,0.002271379,0.001930501,0.0007064338,0.001701245,0.0007185443],"domain_scores_gemma":[0.9705632,0.02719356,0.0003806827,0.0007434745,0.0004130045,0.0007060411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002719875,0.0001956804,0.960986,0.0006098965,0.0002366138,0.00002636518,0.0003007806,0.000003972837,0.000002053601,0.0006669096,0.03300576,0.00369394],"study_design_scores_gemma":[0.0004282588,0.0000876108,0.887175,0.0001286452,0.0001229373,0.000002209882,0.0004235271,0.02574866,3.427812e-7,0.00008877832,0.08569963,0.00009438746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97898,0.001144369,0.00009268687,0.007269126,0.0007221107,0.0004220807,0.001433994,0.00003813218,0.009897497],"genre_scores_gemma":[0.9923062,0.004506526,0.0001636426,0.000454168,0.0003364851,0.0000224033,0.0004908171,0.00001332131,0.001706388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1273807,"threshold_uncertainty_score":0.9995202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5345381457633911,"score_gpt":0.6231813251017446,"score_spread":0.08864317933835353,"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."}}