{"id":"W4213065152","doi":"10.1109/tencon54134.2021.9707229","title":"Detecting Changes in Cognitive Load Through Audified EEG","year":2021,"lang":"en","type":"article","venue":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Concussion; Cognitive load; Cognition; Reliability (semiconductor); Active listening; Computer science; Psychology; Physical medicine and rehabilitation; Brain activity and meditation; Audiology; Cognitive psychology; Poison control; Medicine; Injury prevention; Neuroscience; Communication","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":[0.000494877,0.0004957748,0.0002634196,0.0009399492,0.0001592064,0.0009648136,0.0003397869,0.0006798889,0.006487735],"category_scores_gemma":[0.002571766,0.0001198443,0.0001768146,0.0004988746,0.0004296545,0.0005330904,0.0005066717,0.000319636,0.001235479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643957,"about_ca_system_score_gemma":0.0002083341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901364,"about_ca_topic_score_gemma":0.003804116,"domain_scores_codex":[0.9996188,0.00008214189,0.0000283459,0.00005014705,0.0001883091,0.00003221905],"domain_scores_gemma":[0.999223,0.0002969119,0.000111066,0.00004609957,0.0002752724,0.00004771171],"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":[0.001921386,0.0006183476,0.1061412,0.001529383,0.0002436597,0.0009531347,0.002165044,0.0008963005,0.261871,0.0005756618,0.006462321,0.6166226],"study_design_scores_gemma":[0.0001310276,0.002136414,0.9421269,0.000418579,0.0002110812,0.003375293,0.002081959,0.003858815,0.03433109,0.001774201,0.009457618,0.00009698347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382732,0.004010396,0.03731752,0.00080241,0.0002665275,0.0004315543,0.00197642,0.0005621719,0.01635991],"genre_scores_gemma":[0.9657156,0.004216085,0.02042595,0.0004407855,0.0002212761,0.0002164938,0.0008311014,0.00005495715,0.007877709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006487735,"threshold_uncertainty_score":0.0217036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191278185708891,"score_gpt":0.3761238320305743,"score_spread":0.1848456463216833,"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."}}