{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002400442,0.0002795351,0.0004667474,0.0005730501,0.0007210093,0.0003444776,0.0005659059,0.0001566783,0.00009785654],"category_scores_gemma":[0.0005230336,0.000257494,0.00002262448,0.001803039,0.0007748017,0.0004556643,0.0007164259,0.001742508,0.00003261115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044265,"about_ca_system_score_gemma":0.0008506142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004566779,"about_ca_topic_score_gemma":0.002393031,"domain_scores_codex":[0.992842,0.001574633,0.0004889767,0.001219802,0.002144974,0.001729654],"domain_scores_gemma":[0.9984434,0.0004872524,0.0001086386,0.0003504625,0.000009458784,0.0006007603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004465303,0.0002672386,0.1673673,0.0008948972,0.00005171886,0.0003721626,0.0331759,0.00002073172,0.000404515,0.7679327,0.0001796614,0.02888667],"study_design_scores_gemma":[0.006717497,0.004147185,0.9282265,0.001611073,0.00001879191,0.0007526044,0.01404401,0.02709155,0.001242767,0.01464061,0.0003510233,0.001156367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476438,0.003876863,0.001180607,0.04500492,0.0000445243,0.001266184,0.00003764692,0.0002122684,0.0007332289],"genre_scores_gemma":[0.9936469,0.005779675,0.0000384962,0.0002641141,0.00003654445,0.0000554084,0.00002409319,0.0000738009,0.00008092452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7608593,"threshold_uncertainty_score":0.9999877,"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."}}