{"id":"W4288462470","doi":"10.18280/ts.390327","title":"EEG-Based Anamoly Detection for Autistic Kids – A Pilot Study","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Electroencephalography; Anomaly detection; Autism; Context (archaeology); Autism spectrum disorder; Computer science; Psychology; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Developmental psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003891786,0.0001560619,0.0001483596,0.0001347233,0.0005644406,0.00008385254,0.0003321349,0.00001005255,0.0005270636],"category_scores_gemma":[0.00004279097,0.0001530843,0.00006064455,0.0002385022,0.00003997192,0.00007619551,0.00008192906,0.0001422217,0.00001059734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105054,"about_ca_system_score_gemma":0.00004662174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003798306,"about_ca_topic_score_gemma":0.00003188547,"domain_scores_codex":[0.9983155,0.000229762,0.0002646593,0.0004640407,0.0004339835,0.0002920286],"domain_scores_gemma":[0.9993971,0.0002817225,0.00009172878,0.0001501535,0.00002181868,0.0000574554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001295121,0.00499975,0.0006508009,0.00006167172,0.00003301655,0.00006320961,0.001035526,0.0151741,0.9629079,0.0008823492,0.001872114,0.01102443],"study_design_scores_gemma":[0.01214156,0.08535787,0.01217363,0.00003186384,0.0001580223,0.00005234983,0.001142392,0.4828644,0.3843729,0.0009187619,0.01965666,0.001129643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961524,0.000006951234,0.1013407,0.0003032101,0.0005495633,0.001240551,0.00009094589,0.0001700951,0.0001455599],"genre_scores_gemma":[0.9977161,6.751102e-8,0.0001707533,0.001237987,0.00008231823,0.0005835228,0.00000539627,0.00002073067,0.0001831802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5785351,"threshold_uncertainty_score":0.6242597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05057997343387452,"score_gpt":0.2817959128585723,"score_spread":0.2312159394246978,"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."}}