{"id":"W3093939175","doi":"10.1002/aur.2419","title":"Identifying Children and Youth With Autism Spectrum Disorder in Electronic Medical Records: Examining Health System Utilization and Comorbidities","year":2020,"lang":"en","type":"article","venue":"Autism Research","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; Toronto Western Hospital; Ontario Brain Institute; Holland Bloorview Kids Rehabilitation Hospital; Institute for Clinical Evaluative Sciences; Public Health Ontario; University Health Network; University of Toronto","funders":"Ontario Brain Institute","keywords":"Autism spectrum disorder; Cohort; Medicine; Medical record; Population; Autism; Psychiatry; Health care; Comorbidity; Pediatrics; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002997023,0.0002336171,0.0003025196,0.003649141,0.0005302517,0.0009038838,0.0006618359,0.0003672414,0.0006214449],"category_scores_gemma":[0.01400059,0.000246582,0.0006529876,0.004791196,0.0002140571,0.0006089029,0.001018698,0.0003271024,0.000136958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002467944,"about_ca_system_score_gemma":0.002524884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529019,"about_ca_topic_score_gemma":0.24013,"domain_scores_codex":[0.9974501,0.0006496794,0.0006449298,0.0003535323,0.0006896346,0.0002121573],"domain_scores_gemma":[0.9924744,0.001777615,0.003815767,0.0004812985,0.001195453,0.0002553998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008011737,0.000007774214,0.998283,0.00001018475,0.00001820453,0.00001170569,0.0001003936,0.00006979147,0.00002309953,0.00001619028,0.0001179767,0.00133367],"study_design_scores_gemma":[0.000003333197,0.00001646455,0.9980977,0.00001910191,0.00001836382,0.00005491021,0.0003068335,0.001093716,0.00008059164,0.00001814595,0.0002880178,0.00000274884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926984,0.0001367017,0.0008067228,0.0001320919,0.00000410128,0.0001358093,0.005421644,0.00001981503,0.0006446557],"genre_scores_gemma":[0.9904821,0.0002045134,0.00367778,0.00005128144,0.000008827319,0.0001743224,0.005257922,0.000004810217,0.0001385484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1529019,"threshold_uncertainty_score":0.3040239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353858015938134,"score_gpt":0.3663499129466536,"score_spread":0.2309641113528403,"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."}}