{"id":"W4416344272","doi":"10.1007/s00702-025-03063-2","title":"EEG neurosubtyping of infants predicts language trajectories","year":2025,"lang":"en","type":"article","venue":"Journal of Neural Transmission","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Fonds de recherche du Québec – Nature et technologies; National Institutes of Health; Fondation Brain Canada; National Institute of Mental Health; Medical Research Council; Fonds de Recherche du Québec - Santé; Foundation for the National Institutes of Health","keywords":"Autism; Autism spectrum disorder; Electroencephalography; Lateralization of brain function; Neurodevelopmental disorder; Subtyping; Expressive language; Endophenotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002227718,0.0001309258,0.0002877529,0.0003482214,0.00009874391,0.00003273028,0.0004494871,0.00006445553,0.00008650711],"category_scores_gemma":[0.0003913509,0.0000987529,0.0001589297,0.0006353376,0.0001124633,0.0003307112,0.00003884343,0.000477484,0.000001530148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297161,"about_ca_system_score_gemma":0.0001337066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001068778,"about_ca_topic_score_gemma":0.000001212855,"domain_scores_codex":[0.9982254,0.0002095755,0.0005494446,0.0001787691,0.0005738883,0.0002629046],"domain_scores_gemma":[0.9991571,0.000295971,0.0002340538,0.0001665851,0.00003146022,0.0001148591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003977598,0.0001135912,0.001373755,0.0001133998,0.000006225775,0.0001325351,0.0009270715,0.0001498185,0.9716552,0.0005389301,0.0001031991,0.02448855],"study_design_scores_gemma":[0.001433653,0.0005098347,0.04734872,0.0004228841,0.00002699174,0.0001409281,0.0001292096,0.002321832,0.9443576,0.00220607,0.0009834572,0.0001188331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910978,0.0007022476,0.00120849,0.004711959,0.0003364323,0.000147123,0.000004723071,0.00002398356,0.001767238],"genre_scores_gemma":[0.9989756,0.0003176687,0.0001208493,0.0001719994,0.00002972522,9.120407e-7,1.998231e-7,0.0000132873,0.0003698046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04597496,"threshold_uncertainty_score":0.4027026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443172264611091,"score_gpt":0.3229603198278653,"score_spread":0.2985285971817544,"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."}}