{"id":"W4286008162","doi":"10.1155/2022/6533567","title":"A PH<a:math xmlns:a=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"> <a:mfenced open=\"(\" close=\")\" separators=\"|\"> <a:mrow> <a:mi>i</a:mi> </a:mrow> </a:mfenced> </a:math>/PH<f:math xmlns:f=\"http://www.w3.org/1998/Math/MathML\" id=\"M2\"> <f:mfenced open=\"(\" close=\")\" separators=\"|\"> <f:mrow> <f:mi>i</f:mi> <f:mo>,</f:mo> <f:mi>n</f:mi> </f:mrow> </f:mfenced> <f:mo>/</f:mo> <f:mrow> <f:mrow> <f:mi>C</f:mi> <f:mo>/</f:mo> <f:mi>C</f:mi> </f:mrow> </f:mrow> </f:math> Queuing Model in Randomly Changing Environments for Traffic Circulation Systems","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China; Xihua University; National Taiwan University; National University of Singapore","keywords":"Mathematics; Discrete mathematics; Combinatorics; Library science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002223547,0.002937086,0.001447177,0.00202554,0.001787555,0.008403146,0.003935028,0.004254102,0.6014274],"category_scores_gemma":[0.006716096,0.002318361,0.002778233,0.002886452,0.001090774,0.00594693,0.0044799,0.003574072,0.6151161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003899737,"about_ca_system_score_gemma":0.002498284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03425533,"about_ca_topic_score_gemma":0.02395936,"domain_scores_codex":[0.9985088,0.0002807344,0.0001823917,0.0002595384,0.0005644746,0.0002041403],"domain_scores_gemma":[0.9970696,0.0006879044,0.0001517588,0.001062366,0.0007599032,0.0002685016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002317644,0.000157768,0.0002216816,0.0003488399,0.00002941873,0.0001499213,0.0001474143,0.001322681,0.003454688,0.01308236,0.9192431,0.06161049],"study_design_scores_gemma":[0.00007983517,0.00002493646,0.0003330686,0.00009139287,0.00001005303,0.0001015688,0.00005329836,0.002801071,0.00165013,0.004696304,0.9901276,0.00003073869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001608067,0.0003946132,0.2004274,0.005622043,0.001869672,0.002161291,0.119814,0.2065206,0.4615823],"genre_scores_gemma":[0.0175058,0.002364434,0.1062545,0.00695783,0.0007356977,0.00253365,0.1809503,0.07757415,0.6051238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6014274,"threshold_uncertainty_score":0.5685154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845243270056981,"score_gpt":0.2595482555864878,"score_spread":0.241095822885918,"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."}}