{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004408913,0.0008067268,0.0005104114,0.001224851,0.0001161692,0.0005285217,0.0004459507,0.0005321575,0.005881225],"category_scores_gemma":[0.001733349,0.0001512974,0.000317484,0.0004416893,0.0001379963,0.0006371706,0.0008453666,0.0002451197,0.002037012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008349834,"about_ca_system_score_gemma":0.00009815349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004984831,"about_ca_topic_score_gemma":0.0009714447,"domain_scores_codex":[0.9997323,0.0000617908,0.00002141394,0.00007461736,0.00008702174,0.0000228422],"domain_scores_gemma":[0.9996457,0.0001055755,0.00007333874,0.00004294574,0.00007308954,0.00005948272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003921489,0.0003927604,0.08892601,0.001157276,0.0005192786,0.001103503,0.0008756674,0.002177125,0.226492,0.0007409012,0.02281622,0.6508777],"study_design_scores_gemma":[0.0003688273,0.00390324,0.9069399,0.0001378039,0.0002514896,0.003957179,0.000338466,0.01778513,0.04430677,0.001241623,0.02052714,0.0002423699],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8370308,0.002645848,0.105897,0.0002673631,0.0002526079,0.001974049,0.02545953,0.0123514,0.01412145],"genre_scores_gemma":[0.9059318,0.001149605,0.07420233,0.000266509,0.0003138976,0.002667733,0.008143493,0.0004200759,0.006904523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005881225,"threshold_uncertainty_score":0.01967466,"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."}}