{"id":"W3206483178","doi":"10.3389/fnhum.2021.662875","title":"Sabotage Detection Using DL Models on EEG Data From a Cognitive-Motor Integration Task","year":2021,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; York University","funders":"","keywords":"Computer science; Electroencephalography; Artificial intelligence; Convolutional neural network; Pattern recognition (psychology); Wearable computer; Concussion; Motor imagery; Classifier (UML); Task (project management); Speech recognition; Cognition; Machine learning; Brain–computer interface; Poison control; Psychology; Engineering; 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":[0.0003474352,0.0006532939,0.0002814729,0.0004608279,0.0001096366,0.0004237827,0.0003089619,0.0002921052,0.0008263938],"category_scores_gemma":[0.001347675,0.0001169342,0.0003079837,0.0002699912,0.000133709,0.0002684552,0.0004092859,0.0003233872,0.0003043973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042418,"about_ca_system_score_gemma":0.0003252166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005619861,"about_ca_topic_score_gemma":0.008852345,"domain_scores_codex":[0.9998393,0.0000234772,0.0000115861,0.00005830864,0.00003308752,0.00003413265],"domain_scores_gemma":[0.9997603,0.00009657183,0.00004166666,0.00002281499,0.00006019687,0.00001832949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001417053,0.0005004836,0.03951249,0.000315217,0.0002999864,0.0005874215,0.0003070532,0.1689658,0.1542177,0.0005040344,0.002695691,0.630677],"study_design_scores_gemma":[0.00001420025,0.0001706919,0.02834995,0.00001325984,0.00003219397,0.0001153535,0.00004808118,0.9577601,0.01272783,0.0003022027,0.0004502466,0.00001584417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156466,0.0005092868,0.178902,0.0001656528,0.00006419316,0.0001101196,0.0005698163,0.001494287,0.002538045],"genre_scores_gemma":[0.9843769,0.0001114645,0.01409611,0.00003634598,0.00001134737,0.00004216357,0.0003595092,0.00001791408,0.0009481553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005619861,"threshold_uncertainty_score":0.01117426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175509747687801,"score_gpt":0.3257105393792574,"score_spread":0.2081595646104773,"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."}}