{"id":"W4389816084","doi":"10.1155/2023/7675900","title":"Evolutionary Game Model of Civil Aviation and High-Speed Rail Interaction Strategies Based on the Passenger Ticket and Carbon Trading Prices","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Civil Aviation Administration of China; Civil Aviation University of China","keywords":"Ticket; Civil aviation; Revenue; Aviation; Beijing; Evolutionarily stable strategy; Business; Operations research; Transport engineering; Industrial organization; Computer science; Microeconomics; Game theory; Economics; Engineering; Finance; Aerospace engineering; Computer security","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":[0.0003130088,0.00008223357,0.0002098902,0.0002999619,0.00005239589,0.00002446008,0.00004149452,0.00005393545,0.00002639266],"category_scores_gemma":[0.00002871577,0.00007099578,0.00005929448,0.000272072,0.00002885493,0.0004896654,0.000001120825,0.0001432816,6.251733e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301414,"about_ca_system_score_gemma":0.00002070464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424661,"about_ca_topic_score_gemma":0.0000288681,"domain_scores_codex":[0.9991524,0.00001373386,0.0005609432,0.0001180478,0.00007899429,0.00007592861],"domain_scores_gemma":[0.998895,0.000124531,0.0008133939,0.00006557082,0.00007264463,0.00002882506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000132519,0.00006098702,0.01886312,0.00004554299,0.00007983846,0.000002310448,0.001658129,0.9362383,0.001443558,0.04045495,0.00003425944,0.0009864591],"study_design_scores_gemma":[0.0006498925,0.0001209085,0.5390183,0.00005874129,0.00004264972,9.156446e-7,0.001305534,0.438934,0.0002043609,0.01952725,0.00005111603,0.00008637696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926343,0.0001323945,0.005692328,0.0009865076,0.0001075947,0.00005522103,0.0000354203,0.000008286079,0.0003479533],"genre_scores_gemma":[0.9993111,0.0002070852,0.0003525579,0.00001989134,0.0000400547,0.000002678625,0.00003004122,0.000007874923,0.00002868395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5201551,"threshold_uncertainty_score":0.2895124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335877123624303,"score_gpt":0.2398263634019361,"score_spread":0.2064675921656931,"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."}}