{"id":"W3084189251","doi":"10.1002/jgc4.1323","title":"Adaptation and validation of the Genetic Counseling Outcome Scale for autism spectrum disorders and related conditions","year":2020,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University; McGill University Health Centre; Hospital for Sick Children; University of Toronto; SickKids Foundation; Montreal Neurological Institute and Hospital","funders":"University of Toronto; Ontario Genomics Institute; Genome Canada; Canadian Institutes of Health Research; Autism Speaks","keywords":"Genetic counseling; Distress; Autism spectrum disorder; Autism; Human genetics; Medicine; Clinical psychology; Cronbach's alpha; Population; Genetic testing; Context (archaeology); Psychology; Psychiatry; Psychometrics; Genetics; Internal medicine; Biology","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":[0.0003537748,0.0001283937,0.0002376799,0.0001091304,0.0002683754,0.00006600004,0.0002088307,0.00006313427,0.00002820359],"category_scores_gemma":[0.0003425983,0.0001065772,0.00009361783,0.0003152607,0.0001774215,0.0001301578,0.00003792722,0.0002538422,0.000001447222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002730199,"about_ca_system_score_gemma":0.0001150442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277142,"about_ca_topic_score_gemma":0.00002009611,"domain_scores_codex":[0.9982044,0.00014087,0.000714774,0.0002322583,0.0004865362,0.0002212187],"domain_scores_gemma":[0.9988445,0.0003662147,0.0005190796,0.0001261791,0.00003210063,0.0001119442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007579229,0.0004226376,0.09813514,0.0009882358,0.0001993695,0.00003750234,0.07144722,0.1999394,0.5978406,0.008959725,0.0002259626,0.02104632],"study_design_scores_gemma":[0.00626559,0.001672567,0.1816469,0.0003443867,0.0004919397,0.0006500221,0.002640901,0.5541748,0.04536314,0.2049877,0.001038221,0.0007237837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567419,0.001161354,0.02631272,0.01511554,0.000186517,0.0004309542,0.00001798298,0.00001173148,0.00002133246],"genre_scores_gemma":[0.99584,0.002415671,0.00148627,0.0001707523,0.00003733229,0.000005375947,7.199933e-7,0.00002422004,0.00001964217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5524775,"threshold_uncertainty_score":0.4346091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335258816941395,"score_gpt":0.2895817450166824,"score_spread":0.2560558633225429,"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."}}