{"id":"W4295953386","doi":"10.4050/f-0078-2022-0116","title":"Task Analysis and Predictive Workload Modeling for Autonomous Aircraft","year":2022,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Workload; Crew; Task (project management); Computer science; Process (computing); Cockpit; Task analysis; Flight simulator; Situation awareness; Human–computer interaction; Operator (biology); Simulation; Systems engineering; Engineering; 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":[0.0006099491,0.000489414,0.0002985397,0.0006704272,0.0003143016,0.0007028368,0.0006529668,0.0004014868,0.001658594],"category_scores_gemma":[0.00306871,0.0003090441,0.0004069159,0.0005117921,0.000274051,0.000671842,0.0003452376,0.0004789967,0.0002021273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008081563,"about_ca_system_score_gemma":0.001221604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206046,"about_ca_topic_score_gemma":0.01208579,"domain_scores_codex":[0.9997876,0.00007772138,0.00001116296,0.00004137857,0.0000566265,0.00002548739],"domain_scores_gemma":[0.9991006,0.0006075164,0.00007710052,0.00005126958,0.0001269582,0.00003668432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005408521,0.00004540632,0.001467927,0.00002152588,0.000008710674,0.00002665794,0.0001193504,0.983265,0.001194244,0.002226062,0.0002509581,0.01132011],"study_design_scores_gemma":[0.000001790989,0.000006903856,0.0002702333,0.000001277579,8.859398e-7,0.000002037491,0.000008950756,0.9987668,0.0001070884,0.0007533369,0.00007913306,0.000001724185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2975147,0.0001410638,0.6959964,0.0001914058,0.0000375757,0.0001747633,0.000359766,0.0005815075,0.005002884],"genre_scores_gemma":[0.9298168,0.0001280259,0.06792892,0.00002242406,0.00001652743,0.0002525566,0.0002453809,0.00005213431,0.001537255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0206046,"threshold_uncertainty_score":0.04096937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453127082313834,"score_gpt":0.3385235746711964,"score_spread":0.313992303848058,"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."}}