{"id":"W4312884605","doi":"10.4236/jbbs.2022.1210027","title":"Cognitive Workload Assessment of Aircraft Pilots","year":2022,"lang":"en","type":"article","venue":"Journal of Behavioral and Brain Science","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Takeoff; Workload; Pupillary response; Cognition; Airplane; Pupillometry; Simulation; Cognitive load; Computer science; Pupil; Aeronautics; Moment (physics); Psychology; Engineering; Automotive engineering; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001211838,0.00005632043,0.0001401378,0.0002366441,0.0002566818,0.00002840006,0.000193931,0.00001431163,0.003869747],"category_scores_gemma":[0.00002405174,0.00004643517,0.00005641401,0.0003464652,0.0002690749,0.0002427418,0.00007945637,0.0002629215,0.000003984187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005692961,"about_ca_system_score_gemma":0.0001420968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002096484,"about_ca_topic_score_gemma":0.000002798006,"domain_scores_codex":[0.9987673,0.0001152176,0.000364688,0.0001174766,0.0005091628,0.0001261616],"domain_scores_gemma":[0.9991228,0.0001007852,0.0003908347,0.0000679213,0.0002273103,0.00009033814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000839375,0.005946655,0.3213763,0.00002388755,0.00009758834,0.0004773405,0.04039856,0.0001399806,0.1255889,0.01073863,0.02051357,0.4738593],"study_design_scores_gemma":[0.001104579,0.001635079,0.9785284,0.00004524045,0.00002957697,0.0005631803,0.01370083,0.00009548809,0.0003147185,0.0001613387,0.003711432,0.0001100825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941956,0.00004951637,0.0003888265,0.0008836224,0.0009182434,0.00006016623,0.00001004569,0.000005755021,0.003488171],"genre_scores_gemma":[0.9984093,0.000002653452,0.0002783673,0.000363051,0.00003660057,0.000004546583,4.019348e-7,0.000002794559,0.0009023083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6571522,"threshold_uncertainty_score":0.9970409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0667017914974978,"score_gpt":0.4583426932574531,"score_spread":0.3916409017599553,"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."}}