{"id":"W2943654507","doi":"10.1177/0018720819842779","title":"Event-Related Electrodermal Response to Stress: Results From a Realistic Driving Simulator Scenario","year":2019,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"LabEx BRAIN; Agence Nationale de la Recherche; Equipex","keywords":"Driving simulator; Context (archaeology); Situational ethics; Stress (linguistics); Event (particle physics); Psychology; Stress measures; Simulation; Arousal; Computer science; Social 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":[0.001155033,0.0003437072,0.0004499643,0.00008858422,0.0007826372,0.0001257406,0.0006069361,0.0002570227,0.0004145484],"category_scores_gemma":[0.000124176,0.0002019769,0.0005461492,0.000135095,0.0001389047,0.0001637817,0.0001680796,0.0009099453,0.00002803038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634907,"about_ca_system_score_gemma":0.00007424915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003955674,"about_ca_topic_score_gemma":0.0002080465,"domain_scores_codex":[0.9973935,0.000656982,0.0009384516,0.0003130377,0.0002729268,0.0004250507],"domain_scores_gemma":[0.9973757,0.0007554746,0.0009418369,0.000579946,0.0001269666,0.000220072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006500653,0.001216282,0.448087,0.00005364309,0.003905447,0.00001024994,0.3191896,0.00762643,0.1741184,0.001486052,0.03747621,0.0003300561],"study_design_scores_gemma":[0.002876783,0.0004999936,0.9833349,0.0001814794,0.0002636579,0.00001282939,0.00876814,0.000125456,0.001561851,0.0006596327,0.001332443,0.0003828123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976907,0.00007554941,0.00003601633,0.000257486,0.001213035,0.0003554792,0.0001538354,0.00002906878,0.0001888151],"genre_scores_gemma":[0.9973335,0.00002156527,0.0000128366,0.000235324,0.0001957648,0.000001096167,0.00004483326,0.00004823718,0.002106892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5352479,"threshold_uncertainty_score":0.823638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429767324222187,"score_gpt":0.2846539827013307,"score_spread":0.2603563094591088,"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."}}