{"id":"W4294989913","doi":"10.3390/brainsci12091187","title":"Global and Regional Structural Differences and Prediction of Autistic Traits during Adolescence","year":2022,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; Mission Interministérielle de Lutte Contre les Drogues et les Conduites Addictives; Fondation de France; Agence Nationale de la Recherche; Fondation pour la Recherche Médicale; Deutsche Forschungsgemeinschaft; Medical Research Council; Fondation de l'Avenir pour la Recherche Médicale Appliquée","keywords":"Autism; Amygdala; Autistic traits; Brain size; Psychology; Brain morphometry; Population; Developmental psychology; Audiology; Neuroscience; Medicine; Autism spectrum disorder; Magnetic resonance imaging","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":[],"consensus_categories":[],"category_scores_codex":[0.0002720329,0.0000859123,0.0001090498,0.00009188535,0.0009035854,0.00006694862,0.000345694,0.00001598786,0.00006215652],"category_scores_gemma":[0.0002411886,0.00007453522,0.00001567887,0.000666691,0.001488617,0.0002152192,0.0003233873,0.0001028429,3.02878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003019843,"about_ca_system_score_gemma":0.00008922244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005893742,"about_ca_topic_score_gemma":0.00002407274,"domain_scores_codex":[0.9981914,0.0001742485,0.0001502979,0.0004634098,0.0007561701,0.0002645024],"domain_scores_gemma":[0.999624,0.0001637009,0.00007565141,0.00007068379,0.000003621085,0.00006230439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007084531,0.00005098565,0.7416345,0.00008466013,0.000003153208,0.00001935457,0.001498054,0.000125688,0.04242034,0.2096243,0.0001505599,0.004317591],"study_design_scores_gemma":[0.0002086498,0.0001747324,0.9732123,0.00001113196,0.000001600319,0.0001834775,0.0002558648,0.004385716,0.0003934676,0.02108821,0.00001541428,0.00006944011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951074,0.0001930367,0.0000290875,0.003991851,0.00006886581,0.0001446596,0.0001165702,0.00002999972,0.0003185064],"genre_scores_gemma":[0.9997145,0.00001677495,0.00007708072,0.0001029037,0.00001210858,0.00001060462,2.977493e-7,0.000002523332,0.00006320695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2315778,"threshold_uncertainty_score":0.694974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04772914053717614,"score_gpt":0.2992668670420071,"score_spread":0.2515377265048309,"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."}}