{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005558948,0.0005700735,0.0005086414,0.001889603,0.0006975234,0.0007076626,0.0008673953,0.0005933902,0.001666442],"category_scores_gemma":[0.01604606,0.000305855,0.001327208,0.001042055,0.0005959743,0.0006801462,0.0021462,0.001116219,0.0004821355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187651,"about_ca_system_score_gemma":0.001812144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810333,"about_ca_topic_score_gemma":0.0118019,"domain_scores_codex":[0.9961914,0.001353068,0.0006416709,0.0003800197,0.001234436,0.0001993828],"domain_scores_gemma":[0.991586,0.002375734,0.002434989,0.0005525705,0.002432591,0.0006181801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005400028,0.0006301717,0.9226069,0.0001891429,0.0002418439,0.0002476957,0.002186822,0.001235588,0.001014985,0.0005705438,0.005881472,0.06465489],"study_design_scores_gemma":[0.00009523019,0.0003959895,0.9932186,0.00006583224,0.00003154947,0.0002487204,0.0008529075,0.0006866372,0.0003100995,0.0003875512,0.003680473,0.00002636796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879981,0.0003015666,0.002049152,0.0002998728,0.00009178623,0.002700802,0.002912273,0.0000628868,0.003583544],"genre_scores_gemma":[0.9671043,0.0005612245,0.013603,0.0002539649,0.00005711527,0.009364943,0.006704869,0.00006277535,0.002287989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005810333,"threshold_uncertainty_score":0.02939892,"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."}}