{"id":"W3126283102","doi":"10.3389/fnins.2021.634147","title":"Using Muse: Rapid Mobile Assessment of Brain Performance","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Calgary; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Cognition; Elementary cognitive task; Psychology; Oddball paradigm; Brain activity and meditation; Task (project management); Event-related potential; Cognitive psychology; Computer science; Audiology; Neuroscience; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003389663,0.0001625793,0.0002649913,0.0002305625,0.0001362235,0.00008002237,0.0006660445,0.00004786422,0.00002218908],"category_scores_gemma":[0.000364323,0.0001593626,0.00005584926,0.001485467,0.0003945615,0.0004846919,0.0002682722,0.0002446224,0.000001063408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006425004,"about_ca_system_score_gemma":0.0002468062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004248841,"about_ca_topic_score_gemma":8.22643e-7,"domain_scores_codex":[0.9977838,0.0002263985,0.0003593042,0.0007272566,0.0004804652,0.0004227783],"domain_scores_gemma":[0.999164,0.0001320449,0.000147193,0.0004263524,0.00005038141,0.00008003015],"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":[0.000006223611,0.0001495016,0.02237646,0.00004564598,5.759115e-7,0.00006784302,0.0002020495,0.008762028,0.9597822,0.0001157788,0.001088387,0.007403334],"study_design_scores_gemma":[0.0003092434,0.0001681969,0.01254878,0.00007226214,0.000002695961,0.00007268377,0.00009949232,0.3256587,0.6514003,0.00004428835,0.009424996,0.0001983472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969471,0.00009230009,0.02462556,0.0001641031,0.003325677,0.0001886955,0.00001072702,0.00003949121,0.002082437],"genre_scores_gemma":[0.9830009,0.0001540391,0.01507217,0.001447002,0.00003167192,0.00001115495,4.44592e-7,0.00001375576,0.0002688052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3168967,"threshold_uncertainty_score":0.6498618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04293184632964002,"score_gpt":0.318151797337375,"score_spread":0.2752199510077349,"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."}}