{"id":"W4387496981","doi":"10.1016/j.euroneuro.2023.08.146","title":"37. PREDICTING COGNITIVE AND ADAPTIVE OUTCOMES IN INDIVIDUALS WITH AUTISM USING GENOMIC VARIANTS AND EARLY DEVELOPMENTAL MILESTONES.","year":2023,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; HEC Montréal; Montreal Neurological Institute and Hospital; McGill University; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Autism; Vineland Adaptive Behavior Scale; Developmental Milestone; Intellectual disability; Adaptive behaviour; Autism spectrum disorder; Intelligence quotient; Cognition; Psychology; Developmental disorder; Clinical psychology; Developmental psychology; Medicine; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002580985,0.001104316,0.0007088205,0.002187577,0.0009790745,0.001028716,0.001372332,0.002485579,0.006292138],"category_scores_gemma":[0.0108673,0.0004531719,0.001408327,0.001393982,0.0003585276,0.0005615545,0.0009806345,0.001235643,0.002843591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036437,"about_ca_system_score_gemma":0.001304807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06709167,"about_ca_topic_score_gemma":0.1024416,"domain_scores_codex":[0.9991008,0.0003225102,0.00009795697,0.0001504179,0.0001487129,0.0001796004],"domain_scores_gemma":[0.996691,0.001301235,0.0004383412,0.0002272467,0.0006464429,0.000695729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004327392,0.0006903659,0.7704332,0.0003023614,0.001143784,0.001299706,0.0004962154,0.002613499,0.003739604,0.001915327,0.05963387,0.1534046],"study_design_scores_gemma":[0.001051433,0.0009990903,0.9595371,0.0006226584,0.002433818,0.001174414,0.0005047856,0.005102206,0.003987155,0.009357071,0.01499557,0.000234741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664825,0.02963388,0.0180977,0.04330444,0.002608399,0.000865325,0.08349568,0.001287427,0.05422458],"genre_scores_gemma":[0.9309019,0.006881172,0.02550039,0.004517165,0.0004636672,0.001063267,0.01493842,0.0001820293,0.01555204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06709167,"threshold_uncertainty_score":0.1334023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05106692031874496,"score_gpt":0.3241375224620062,"score_spread":0.2730706021432613,"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."}}