{"id":"W4408645545","doi":"10.1111/ijpo.70000","title":"Weight status of children and adolescents with autism spectrum disorder: A cross‐sectional analysis of primary care electronic medical records and linked health administrative datasets in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Pediatric Obesity","topic":"Child Nutrition and Feeding Issues","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; North York General Hospital; University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Public Health Ontario","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Underweight; Overweight; Cross-sectional study; Odds ratio; Obesity; Autism spectrum disorder; Confidence interval; Demography; Population; Body mass index; Pediatrics; Autism; Environmental health; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001481955,0.000128531,0.0005199539,0.000338962,0.0000635645,0.000007136676,0.00005624098,0.00008006587,0.00004839689],"category_scores_gemma":[0.00003550302,0.0001144872,0.00003764767,0.0006634385,0.00008772864,0.00003758269,0.00005042296,0.0003538263,4.229803e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703742,"about_ca_system_score_gemma":0.005586696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8616365,"about_ca_topic_score_gemma":0.987825,"domain_scores_codex":[0.9986151,0.00004748812,0.0003698006,0.000306026,0.0003803836,0.0002811852],"domain_scores_gemma":[0.9994291,0.000043107,0.0001509925,0.0001402324,0.00003427175,0.000202269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000399803,0.0003188072,0.9981293,0.0003913397,0.0001673651,0.00000649268,0.0002112975,8.31046e-7,3.603078e-7,0.00004176257,0.0001647219,0.0001678826],"study_design_scores_gemma":[0.002798235,0.000331239,0.9961132,0.0001164458,0.0003751674,0.000008293148,0.00003651478,0.00001632113,0.000005383261,0.00002019175,0.00009639782,0.00008260806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941227,0.00445416,0.00001623815,0.0004185507,0.0000368619,0.0003067862,0.0005763092,0.000008338121,0.00006004359],"genre_scores_gemma":[0.9951729,0.003095101,0.00004968593,0.0001296723,0.00002935923,0.000003170153,0.001494002,0.000004632187,0.00002146689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1261885,"threshold_uncertainty_score":0.9910559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995059149844361,"score_gpt":0.260142771696993,"score_spread":0.2541477125471486,"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."}}