{"id":"W3204985716","doi":"10.3389/fpsyg.2021.646406","title":"Evaluation of Mental Load of Drivers in Long Highway Tunnel Based on Electroencephalograph","year":2021,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fuzhou University; U.S. Department of Transportation","keywords":"Alertness; Speed limit; Driving simulator; Transport engineering; Simulation; Engineering; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006726864,0.0001007756,0.00022884,0.0003682857,0.00001464127,0.000004583847,0.0002423985,0.00008470235,0.00006265744],"category_scores_gemma":[0.0001787167,0.0001038233,0.00006007289,0.0006266551,0.0001894021,0.00006305694,0.00002170341,0.0001641548,0.00000185159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000983565,"about_ca_system_score_gemma":0.0001074441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001002885,"about_ca_topic_score_gemma":0.00004765351,"domain_scores_codex":[0.9979972,0.0006107939,0.0003002467,0.0004167668,0.0004525529,0.0002224785],"domain_scores_gemma":[0.9994438,0.00007543808,0.0001181394,0.0002560421,0.00008134091,0.00002521901],"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":[0.0005405481,0.001775584,0.2764615,0.00004580653,0.00003050652,0.0001049923,0.001797848,0.003111344,0.6140437,0.0001764661,0.01467041,0.08724131],"study_design_scores_gemma":[0.006724402,0.0008843492,0.2101989,0.0001809347,0.00003050509,0.00001914449,0.0003163428,0.04753586,0.7267466,0.006741823,0.0003586342,0.0002625387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885076,0.0002578144,0.00524412,0.0004403464,0.001925289,0.0001921728,0.000009215131,0.00001125002,0.003412232],"genre_scores_gemma":[0.9975563,0.00005270317,0.001753839,0.0005930056,0.00001081548,0.00001021986,0.000003872489,0.000006754561,0.00001252877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127029,"threshold_uncertainty_score":0.4233789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740804710836397,"score_gpt":0.3199692175535437,"score_spread":0.2925611704451797,"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."}}