{"id":"W2072551431","doi":"10.1016/j.bbr.2013.10.042","title":"Using near infrared spectroscopy and heart rate variability to detect mental overload","year":2013,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":251,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Direction Générale de l’Armement; Ontario Ministry of Research, Innovation and Science","keywords":"Workload; Task (project management); Heart rate variability; Psychology; Prefrontal cortex; Computer science; Cognitive psychology; Cognition; Heart rate; Engineering; Neuroscience; Medicine","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":[0.0004209506,0.0005338361,0.0003020367,0.000841606,0.0002273074,0.000580758,0.0002028434,0.0006628784,0.0009205645],"category_scores_gemma":[0.001548647,0.0001962724,0.0001770987,0.0004731705,0.0002429543,0.0005959208,0.0002622946,0.0005060891,0.00023253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051673,"about_ca_system_score_gemma":0.000183118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007643761,"about_ca_topic_score_gemma":0.001591545,"domain_scores_codex":[0.9997442,0.00006974415,0.00001529445,0.00006447757,0.00008470706,0.00002159516],"domain_scores_gemma":[0.9991916,0.0004362445,0.0001474991,0.0000324885,0.0001322353,0.00005996289],"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":[0.00276359,0.001129523,0.2215794,0.0004063818,0.0004291853,0.0003543624,0.0008545443,0.001928219,0.594479,0.0004120163,0.0009296669,0.174734],"study_design_scores_gemma":[0.0001695669,0.002629567,0.8922622,0.00006999925,0.0003395342,0.001904467,0.0009956593,0.0204287,0.07740789,0.002267034,0.00142674,0.00009861033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971394,0.0008661093,0.02365774,0.0001891343,0.00009683322,0.00006176993,0.0002116941,0.0001071926,0.003415552],"genre_scores_gemma":[0.9875443,0.0005912257,0.01050569,0.0002048496,0.0001002176,0.00005928676,0.00008114467,0.00001924862,0.0008941556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009205645,"threshold_uncertainty_score":0.003079593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479755370660784,"score_gpt":0.4788079715415655,"score_spread":0.330832434475487,"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."}}