{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"category_scores_codex":[0.01730544,0.007797687,0.008606955,0.007106,0.008409385,0.005675037,0.01211619,0.003979746,0.0007615777],"category_scores_gemma":[0.002725212,0.009059489,0.005908515,0.01076488,0.002452699,0.02368879,0.00326274,0.008291578,0.001458954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003214542,"about_ca_system_score_gemma":0.002996097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414038,"about_ca_topic_score_gemma":0.001011622,"domain_scores_codex":[0.9528595,0.002248676,0.01488668,0.009537247,0.01033285,0.0101351],"domain_scores_gemma":[0.968005,0.003344314,0.01836754,0.005423987,0.00233562,0.002523522],"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":[0.01253768,0.004470423,0.001099061,0.004123789,0.003679235,0.001730508,0.008491687,0.5467747,0.03522472,0.3719923,0.002900356,0.006975494],"study_design_scores_gemma":[0.03609815,0.002721891,0.002645428,0.006499609,0.007169763,0.001547912,0.01961238,0.8595459,0.007357935,0.008336118,0.03637684,0.01208802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413202,0.005278364,0.02931297,0.001476272,0.006753575,0.008260782,0.001896377,0.002115137,0.003586256],"genre_scores_gemma":[0.9610634,0.002724424,0.01043601,0.003875512,0.00495377,0.008302045,0.003788749,0.002804429,0.002051594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3636562,"threshold_uncertainty_score":0.9993185,"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."}}