{"id":"W3118276099","doi":"10.3389/fnrgo.2020.618632","title":"Toward a Subject-Independent EEG-Based Neural Indicator of Task Proficiency During Training","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroergonomics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Electroencephalography; Computer science; Brain–computer interface; Artificial intelligence; Task (project management); Speech recognition; Machine learning; Psychology","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":[0.001468373,0.000521972,0.0003253648,0.0005293844,0.0001088786,0.0008237506,0.0003175954,0.0003936339,0.0008104561],"category_scores_gemma":[0.008019664,0.000218843,0.0001753711,0.0003724005,0.0002871102,0.0008308541,0.0004627295,0.0005590458,0.000265226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405029,"about_ca_system_score_gemma":0.0002898667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008334122,"about_ca_topic_score_gemma":0.001864098,"domain_scores_codex":[0.9993004,0.0001911525,0.00005177507,0.0001789615,0.000240511,0.00003723359],"domain_scores_gemma":[0.9971913,0.00120852,0.0006151844,0.0002386618,0.0006279367,0.0001184843],"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":[0.001827164,0.0006551153,0.1406521,0.0005004542,0.00019667,0.00009682157,0.001120645,0.006370774,0.5286421,0.0005451059,0.0006874637,0.3187057],"study_design_scores_gemma":[0.00009869692,0.003464168,0.7518542,0.00008749619,0.0001986593,0.0005041289,0.0004898146,0.09530222,0.1455583,0.0006715879,0.001650589,0.0001199955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454351,0.0001641169,0.1507931,0.00007440359,0.0000352221,0.0001856385,0.000288428,0.0004181747,0.002605893],"genre_scores_gemma":[0.9384953,0.0001184797,0.05998747,0.00004259023,0.00002337351,0.000127786,0.0002108728,0.00004979958,0.000944366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468373,"threshold_uncertainty_score":0.007765591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726831952246322,"score_gpt":0.2406996189987664,"score_spread":0.2134312994763032,"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."}}