{"id":"W4392606707","doi":"10.1016/j.gimo.2024.101391","title":"P492: Optimizing access to genetics services for individuals with autism spectrum disorder through a “genetic-counselor-first” assessment model","year":2024,"lang":"en","type":"article","venue":"Genetics in Medicine Open","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Autism spectrum disorder; Genetic counseling; Autism; Psychology; Heritability of autism; Genetics; Clinical psychology; Developmental psychology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008258065,0.000564201,0.0006972274,0.0004910896,0.0003850802,0.00120509,0.003897285,0.0001690485,0.0002617165],"category_scores_gemma":[0.00005978119,0.0004658588,0.00006330613,0.001737864,0.0002875001,0.0005143129,0.001982273,0.0005542848,0.00003577234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363436,"about_ca_system_score_gemma":0.0005785549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005557199,"about_ca_topic_score_gemma":0.002528074,"domain_scores_codex":[0.9945951,0.0001462924,0.0007906793,0.001738574,0.00143375,0.001295575],"domain_scores_gemma":[0.9979719,0.0004679809,0.0001372505,0.001092411,0.00002842454,0.0003020545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004195456,0.0009161856,0.03272414,0.002276764,0.0002410066,0.0004117083,0.02739923,0.8084565,0.006437743,0.09601266,0.005884907,0.01881966],"study_design_scores_gemma":[0.005210313,0.002342571,0.01434322,0.001863331,0.0001877568,0.00008463379,0.0008286299,0.6928778,0.009254348,0.1965147,0.07491503,0.001577634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3643956,0.006288756,0.4116947,0.1877545,0.0009035164,0.01376849,0.0002764575,0.0003016652,0.01461636],"genre_scores_gemma":[0.8523921,0.004047568,0.1371742,0.003449492,0.0001791937,0.001668443,0.00003094553,0.000243018,0.0008149953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4879966,"threshold_uncertainty_score":0.9998317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08095486462327482,"score_gpt":0.4197595819078331,"score_spread":0.3388047172845582,"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."}}