{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005406441,0.0004983717,0.0005940809,0.001276804,0.0003320251,0.001122315,0.00089275,0.0005895779,0.002776648],"category_scores_gemma":[0.03323939,0.0002370406,0.0009495902,0.001050945,0.0008802397,0.0009208719,0.0004903201,0.0005161648,0.0001788367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317536,"about_ca_system_score_gemma":0.001334271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773773,"about_ca_topic_score_gemma":0.004584547,"domain_scores_codex":[0.9959697,0.002473204,0.0001504898,0.0004070667,0.0007376687,0.0002618735],"domain_scores_gemma":[0.9562776,0.03811235,0.001900143,0.001740923,0.001626918,0.0003420163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01097863,0.001284668,0.3755323,0.0003434229,0.001139644,0.001167215,0.0003043684,0.2265362,0.02810479,0.03245352,0.00252336,0.319632],"study_design_scores_gemma":[0.0003589094,0.005652365,0.2895214,0.00008552696,0.001891557,0.002001729,0.0006281798,0.6319007,0.02639213,0.03893835,0.002489574,0.0001397186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643208,0.0005810497,0.02965626,0.0007689235,0.00003483752,0.0001394886,0.0005460748,0.0001549421,0.003797559],"genre_scores_gemma":[0.9869065,0.00007223674,0.01232963,0.00007166761,0.00001276603,0.00003348273,0.0001569151,0.0000221546,0.0003946009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005406441,"threshold_uncertainty_score":0.02859235,"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."}}