{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000242732,0.0002444664,0.000248661,0.0002563061,0.0004202576,0.0003803423,0.001050754,0.00008301568,0.00001434245],"category_scores_gemma":[0.000857141,0.0002446045,0.00005137423,0.0007257963,0.0003355685,0.001375711,0.0004593526,0.0004359724,0.000003620532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008641,"about_ca_system_score_gemma":0.00007495801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007559409,"about_ca_topic_score_gemma":0.00006840921,"domain_scores_codex":[0.9967972,0.000366221,0.000356592,0.001548623,0.0005214811,0.000409895],"domain_scores_gemma":[0.9987456,0.0001819072,0.0001562994,0.000764578,0.00005114684,0.0001004498],"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":[0.00003729927,0.0001372666,0.0002982323,0.000005200533,9.827834e-7,0.0001064254,0.0002955432,0.002237222,0.9926463,0.00007736441,0.0002001431,0.003958073],"study_design_scores_gemma":[0.0003116908,0.000108233,0.001482256,0.0001146937,0.0000075426,0.00001471595,0.0001496793,0.6109299,0.3848068,0.00166549,0.0001978791,0.0002111119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695331,0.00003750379,0.3271959,0.00004244842,0.002439765,0.0001882873,0.0001709527,0.00007033795,0.0003216821],"genre_scores_gemma":[0.9963656,0.0000238073,0.00164224,0.001569408,0.0001034001,0.000009585458,0.00002019768,0.00002419455,0.0002415575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6086926,"threshold_uncertainty_score":0.9974682,"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."}}