{"id":"W3201788231","doi":"10.1109/icas49788.2021.9551143","title":"Deep Learning Architectures Used In Eeg-Based Estimation Of Cognitive workload: A Review","year":2021,"lang":"en","type":"review","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electroencephalography; Computer science; Workload; Adaptation (eye); Artificial intelligence; Machine learning; Estimation; Cognition; Deep learning; Human–computer interaction; Psychology; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003887741,0.0003730386,0.001787587,0.0003012212,0.00004234509,0.0000506069,0.0003510295,0.0001459121,0.0001698399],"category_scores_gemma":[0.003252433,0.0002786048,0.0004224414,0.0009427207,0.00009306163,0.00004114353,0.0001108408,0.0007074138,0.00003331968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003895286,"about_ca_system_score_gemma":0.0001977158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057174,"about_ca_topic_score_gemma":0.0000169305,"domain_scores_codex":[0.9966666,0.001281831,0.0008255692,0.0006324656,0.0003326393,0.0002608735],"domain_scores_gemma":[0.9951078,0.004051439,0.0005182308,0.0002198327,0.00004787695,0.00005476754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000001949287,0.00005612177,0.000002271995,0.02955602,0.00001043391,0.00003072293,0.00007253471,0.000523016,0.00000564039,0.00002864472,0.00002123799,0.9696914],"study_design_scores_gemma":[0.0003565036,0.0001549858,0.000005076909,0.8877659,0.0003715242,0.00006360099,0.00002265375,0.008857355,0.0007392075,0.00002860278,0.1010051,0.0006295403],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003841835,0.9889858,0.009070145,0.00004337114,0.00009029015,0.0008990546,0.000006026031,0.00006153432,0.0008053386],"genre_scores_gemma":[0.001329528,0.997025,0.0008156932,0.0004962159,0.00001874779,0.00009421808,0.0000334201,0.0000334689,0.0001537331],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9690619,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06644439117611659,"score_gpt":0.3663235125939271,"score_spread":0.2998791214178105,"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."}}