{"id":"W2611580352","doi":"10.1038/gim.2017.47","title":"A microcosting and cost–consequence analysis of clinical genomic testing strategies in autism spectrum disorder","year":2017,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Hospital for Sick Children; GlaxoSmithKline; University of Toronto; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Exome sequencing; Autism spectrum disorder; Medicine; Exome; Whole genome sequencing; Medical costs; Computational biology; Autism; Bioinformatics; Genetics; Biology; Genome; Mutation; Psychiatry; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001540782,0.0001699827,0.0006655843,0.0005894411,0.0001634298,0.00006279711,0.0006979764,0.00009933515,0.00005484957],"category_scores_gemma":[0.004303073,0.0001565866,0.00004278856,0.0008011505,0.001518433,0.00009806724,0.0003850396,0.0005010623,0.000002976117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003986116,"about_ca_system_score_gemma":0.0001959281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003029017,"about_ca_topic_score_gemma":0.006132918,"domain_scores_codex":[0.9974009,0.0002412772,0.0009013321,0.0006305724,0.000346328,0.00047959],"domain_scores_gemma":[0.997511,0.001255616,0.0004139099,0.0007042419,0.000009680803,0.0001055252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002622122,0.00006514508,0.9288538,0.00003477891,0.00001975793,0.0001695622,0.0006093764,0.000856695,0.05400565,0.003295706,0.000001521328,0.01206176],"study_design_scores_gemma":[0.00115934,0.0001621063,0.9534835,0.0001187601,0.00005808182,0.00001643081,0.0002157733,0.02808175,0.001092062,0.0154425,0.00003150623,0.0001382369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991547,0.0008521508,0.0004343827,0.004206378,0.00008763789,0.0003855602,0.000007511228,0.00001379303,0.002465595],"genre_scores_gemma":[0.9973486,0.001311872,0.001147152,0.00009246628,0.00003272675,0.00001390158,0.000001382364,0.00001677918,0.00003509314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05291358,"threshold_uncertainty_score":0.6385418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625286194486459,"score_gpt":0.4441953742997036,"score_spread":0.2816667548510577,"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."}}