{"id":"W2897582841","doi":"10.1111/jsr.12775","title":"NREM sleep EEG slow waves in autistic and typically developing children: Morphological characteristics and scalp distribution","year":2018,"lang":"en","type":"article","venue":"Journal of Sleep Research","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; Hôpital Rivière-des-Prairies; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research","keywords":"Scalp; Non-rapid eye movement sleep; Audiology; Eye movement; Electroencephalography; Polysomnography; Autism; Psychology; Slow-wave sleep; Sleep (system call); Typically developing; Autism spectrum disorder; Neuroscience; Medicine; Developmental psychology; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487265,0.0003201649,0.0002441876,0.0009820932,0.0001580857,0.0002487392,0.0001780287,0.0001646649,0.001415084],"category_scores_gemma":[0.001100444,0.0001594842,0.000188915,0.0003422029,0.0003130808,0.0001709707,0.00027031,0.0001678618,0.0002143467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043114,"about_ca_system_score_gemma":0.0001164345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005101851,"about_ca_topic_score_gemma":0.005575897,"domain_scores_codex":[0.9998776,0.00001512165,0.00001718245,0.00004011881,0.00002614422,0.00002389575],"domain_scores_gemma":[0.9994191,0.0001491996,0.0002507421,0.00002892327,0.00006666187,0.0000852654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004529845,0.00004332986,0.9673214,0.00005647896,0.00004319219,0.001650236,0.0008177094,0.0001171593,0.02043847,0.00003866343,0.0001291347,0.008891274],"study_design_scores_gemma":[0.000001870691,0.00004948114,0.9986111,0.000001317258,0.00000423759,0.001011261,0.00009925657,0.00003133584,0.0001475105,0.000005179206,0.00003624681,0.000001251049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996573,0.00004533937,0.00004215307,0.000003609147,7.634529e-7,0.000002314162,0.0001140504,0.000004951349,0.0001295947],"genre_scores_gemma":[0.999288,0.00005721247,0.0002206218,0.00000462465,0.000001904258,0.00001032231,0.0002746248,0.000004028332,0.0001386706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005101851,"threshold_uncertainty_score":0.01014435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07435241440863315,"score_gpt":0.3599213042975219,"score_spread":0.2855688898888887,"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."}}