{"id":"W4313397869","doi":"10.1016/j.pnpbp.2022.110705","title":"Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review","year":2022,"lang":"en","type":"review","venue":"Progress in Neuro-Psychopharmacology and Biological Psychiatry","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Vector Institute; Centre for Addiction and Mental Health","funders":"","keywords":"Autism spectrum disorder; Generalizability theory; Magnetoencephalography; Electroencephalography; Psychology; Artificial intelligence; Machine learning; Autism; Cognitive psychology; Computer science; Developmental psychology; Neuroscience","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":[0.003881612,0.001496738,0.006820999,0.005239967,0.0002998346,0.001816329,0.001934386,0.001547087,0.003591124],"category_scores_gemma":[0.01154487,0.0006122327,0.00628468,0.0048608,0.0005456403,0.001777666,0.001216675,0.001320007,0.0004036262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000374,"about_ca_system_score_gemma":0.003601878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004107941,"about_ca_topic_score_gemma":0.01201993,"domain_scores_codex":[0.9982401,0.0004834219,0.0006143224,0.0002631613,0.0003450695,0.0000539848],"domain_scores_gemma":[0.992875,0.00576629,0.0008196328,0.00008945154,0.0003887332,0.00006091879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002792665,0.00005260951,0.0007456878,0.5846236,0.01459004,0.0001549374,0.00009137791,0.000584196,0.0004284065,0.0006149912,0.004893308,0.3929417],"study_design_scores_gemma":[0.0009593487,0.0006870812,0.01161809,0.6686386,0.1731687,0.001724062,0.0003616446,0.001257869,0.0008559389,0.003753536,0.1367186,0.0002564799],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001155182,0.9994767,0.000174304,0.00006325624,0.00002965841,0.00002143582,0.00006324858,0.00000374562,0.00005218563],"genre_scores_gemma":[0.0016451,0.9973497,0.0006742637,0.0001383216,0.00004347742,0.00003612863,0.00007250346,0.000002325655,0.00003815435],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006820999,"threshold_uncertainty_score":0.0205282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167618975834499,"score_gpt":0.3993437572897212,"score_spread":0.2825818597062713,"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."}}