{"id":"W2902789793","doi":"10.1016/b978-0-12-811926-6.00079-8","title":"Toward an Online Index of the Attentional Response to Auditory Alarms in the Cockpit","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pupillometry; Cockpit; Pupillary response; ALARM; Situation awareness; Orienting response; Psychology; Task (project management); Aviation accident; Distraction; Recall; Gaze; Cognitive psychology; Computer science; Pupil; Habituation; Aviation; Engineering; Artificial intelligence; Aeronautics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000334726,0.0005319126,0.0002286435,0.001055634,0.0001977855,0.001836308,0.0006273692,0.000753266,0.0107653],"category_scores_gemma":[0.001707544,0.0002098813,0.000186569,0.0008328108,0.0002561182,0.001202759,0.0005510548,0.0005296763,0.003824678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270741,"about_ca_system_score_gemma":0.0001975801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387663,"about_ca_topic_score_gemma":0.002067496,"domain_scores_codex":[0.9998305,0.00002374139,0.000008542981,0.00005088966,0.00007006925,0.00001614052],"domain_scores_gemma":[0.99954,0.0002038695,0.00004869403,0.00003618264,0.0001303084,0.0000409086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004738161,0.000212228,0.006459539,0.0002999984,0.00006846563,0.0001522846,0.0001660599,0.004784949,0.2751465,0.007555658,0.01193498,0.6927454],"study_design_scores_gemma":[0.0000805638,0.0009416398,0.1847826,0.0004271507,0.0002516134,0.002102274,0.0004935677,0.4809479,0.2259606,0.04910631,0.05468896,0.0002168499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2052626,0.006687526,0.7015991,0.0005523437,0.001120281,0.0001860784,0.001390524,0.008177982,0.07502355],"genre_scores_gemma":[0.6759253,0.002695826,0.2892168,0.0004374165,0.0005020044,0.0001325506,0.0009392981,0.0008281185,0.02932281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0107653,"threshold_uncertainty_score":0.03601354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05947402983839185,"score_gpt":0.3491446776131125,"score_spread":0.2896706477747207,"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."}}