{"id":"W4392349539","doi":"10.18280/ts.410128","title":"EEG-Based Autism Detection Using Multi-Input 1D Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Electroencephalography; Computer science; Autism; Speech recognition; Artificial intelligence; Pattern recognition (psychology); 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":[0.0002142244,0.0002209761,0.0001495723,0.0001530222,0.0002499646,0.0002662244,0.0002172141,0.00008125708,0.0003121439],"category_scores_gemma":[0.00001673643,0.0002012057,0.0001359915,0.0002832127,0.0001247022,0.0002742888,0.00005231066,0.0002878678,0.00003051916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131173,"about_ca_system_score_gemma":0.00005733407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003266887,"about_ca_topic_score_gemma":0.0000115316,"domain_scores_codex":[0.9982466,0.0001506672,0.0003134451,0.000538398,0.0003530275,0.000397866],"domain_scores_gemma":[0.9994476,0.0002557865,0.00005850685,0.0001141045,0.00002210857,0.0001018407],"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":[0.0000650475,0.0001675681,0.0002747287,0.00005719033,0.00002310202,0.0001190137,0.000226948,0.2192222,0.7649311,0.0009975076,0.000233083,0.01368254],"study_design_scores_gemma":[0.0004963599,0.0001362209,0.001339493,0.0000668206,0.00002088275,0.00005136766,0.00001019019,0.9187011,0.07785867,0.00004439921,0.001066791,0.0002076961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5148253,0.000134463,0.48292,0.0003248444,0.001269037,0.0001917003,0.00001738467,0.0002701433,0.00004718575],"genre_scores_gemma":[0.9977667,0.000001614716,0.0007706016,0.0009903968,0.0003119518,0.00001757721,0.000006545641,0.00002693748,0.000107721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6994789,"threshold_uncertainty_score":0.820493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04657763140726456,"score_gpt":0.2827723207408735,"score_spread":0.2361946893336089,"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."}}