{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003386702,0.0002958691,0.000198354,0.0009363332,0.0002098203,0.0004507586,0.0002729935,0.0003687796,0.001263795],"category_scores_gemma":[0.001572256,0.0002072451,0.000305588,0.0003414815,0.0003140479,0.0002491627,0.0004921934,0.0004079467,0.0002049299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074839,"about_ca_system_score_gemma":0.0001812227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004757432,"about_ca_topic_score_gemma":0.006094814,"domain_scores_codex":[0.9998443,0.00002952559,0.00001748973,0.00005154547,0.00003184741,0.00002524537],"domain_scores_gemma":[0.9988958,0.0002148375,0.0005511435,0.00005482513,0.0001091023,0.0001743381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005413913,0.00001134633,0.9974401,0.00000503076,0.00001801832,0.0001056779,0.0001224438,0.00006749376,0.0008506346,0.00001899065,0.00002777006,0.00127824],"study_design_scores_gemma":[4.373241e-7,0.00001322872,0.9996036,0.000001880028,0.000003796287,0.0001466609,0.00005753008,0.00007503051,0.00006384759,0.00001052143,0.00002285762,6.440416e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994918,0.00009155639,0.00007845519,0.00001126376,0.000001365429,0.000003323023,0.0001054606,0.000004688972,0.0002120976],"genre_scores_gemma":[0.9995321,0.0000602367,0.0001227952,0.000003045972,0.000001870285,0.000004816705,0.0001564591,0.000002734115,0.000115896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004757432,"threshold_uncertainty_score":0.009459496,"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."}}