{"id":"W4390122090","doi":"10.5267/j.ijiec.2023.10.005","title":"Research on optimization of flight crew scheduling considering pilot fatigue","year":2023,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Crew; Alertness; Crew scheduling; Scheduling (production processes); Engineering; Duration (music); Aviation; Civil aviation; Aircrew; Operations research; Computer science; Aviation safety; Reliability engineering; Aeronautics; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009695471,0.0001200503,0.0002048643,0.001613219,0.00006964638,0.00005721208,0.0003676155,0.0001418263,0.0001878864],"category_scores_gemma":[0.0007611312,0.0001227878,0.00009709397,0.0009678086,0.00004712944,0.0001351277,0.00005239051,0.0008024828,0.00004692309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142592,"about_ca_system_score_gemma":0.000119766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000295858,"about_ca_topic_score_gemma":7.158673e-7,"domain_scores_codex":[0.9980881,0.0001174679,0.0007294303,0.0001472618,0.0006952577,0.0002225034],"domain_scores_gemma":[0.9972578,0.001324166,0.0002860101,0.0001209123,0.0009165056,0.00009461399],"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":[0.0001192633,0.0001081226,0.0003101284,0.000001596943,0.0004031057,0.0000736595,0.0004104077,0.9817152,0.0001840521,0.01069578,0.001617545,0.004361136],"study_design_scores_gemma":[0.0174417,0.003050984,0.003110795,0.007086787,0.000205257,0.0002750871,0.003829448,0.954891,0.00589944,0.0009992494,0.002187815,0.0010224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6635513,0.0001948088,0.3096822,0.003302067,0.01902443,0.0003821121,0.00003499926,0.0002023221,0.003625745],"genre_scores_gemma":[0.9938688,0.00001785163,0.005033267,0.00002063241,0.000975068,0.000006482089,0.00002298543,0.00002853452,0.00002638841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3303175,"threshold_uncertainty_score":0.5007142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2034321138511385,"score_gpt":0.4088077145162031,"score_spread":0.2053756006650645,"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."}}