{"id":"W4206324549","doi":"10.3390/s22020535","title":"Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workload; Brain–computer interface; Computer science; Stress (linguistics); Interface (matter); Transfer of learning; Cognition; Electroencephalography; Artificial intelligence; Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005359233,0.0009552626,0.0005574538,0.0006546947,0.0001558615,0.0005523002,0.0003561632,0.0006001107,0.001314653],"category_scores_gemma":[0.002315694,0.0001867801,0.0002745381,0.0004067929,0.0002082344,0.0005562537,0.0004182561,0.0003948392,0.0005367763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249761,"about_ca_system_score_gemma":0.0001845822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005852654,"about_ca_topic_score_gemma":0.001407208,"domain_scores_codex":[0.9995764,0.00008485292,0.00003201303,0.0001301745,0.0001350055,0.00004156494],"domain_scores_gemma":[0.9992336,0.0003076934,0.00007937614,0.00007912747,0.0002464968,0.00005380291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00179255,0.0005894018,0.03737099,0.0005013196,0.0001881575,0.0002049598,0.0004710409,0.004053188,0.5689634,0.0002586113,0.001220068,0.3843863],"study_design_scores_gemma":[0.0001953919,0.002998639,0.5568904,0.0001163329,0.0004997317,0.002490435,0.0005222954,0.2041667,0.225907,0.002543056,0.003501584,0.0001684191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8113015,0.0004764405,0.1840036,0.0001591122,0.0001424848,0.0003290016,0.0005290496,0.0006209727,0.002437765],"genre_scores_gemma":[0.95651,0.0002531811,0.04132516,0.0001084484,0.00009917051,0.0002141096,0.0003663295,0.00004018124,0.001083389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001314653,"threshold_uncertainty_score":0.004397929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946407488833116,"score_gpt":0.3115431671511458,"score_spread":0.2420790922628147,"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."}}