{"id":"W4306377086","doi":"10.3390/fi14100294","title":"A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior","year":2022,"lang":"en","type":"article","venue":"Future Internet","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Traffic simulation; Traffic generation model; Network traffic simulation; Traffic flow (computer networking); Term (time); Resource (disambiguation); Domain (mathematical analysis); Simulation modeling; Transport engineering; Microsimulation; Real-time computing; Network traffic control","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163207,0.0001956263,0.0002213561,0.0001805989,0.0001412329,0.00005103528,0.0001632785,0.00004400123,0.00001340968],"category_scores_gemma":[0.000004439951,0.0002044027,0.00005741219,0.0001063973,0.00001133527,0.00008520199,0.00007803401,0.0003270374,6.70512e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009086105,"about_ca_system_score_gemma":0.000004318736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003405838,"about_ca_topic_score_gemma":0.00001781277,"domain_scores_codex":[0.9990469,0.00003895981,0.0002700509,0.0002708301,0.000176626,0.0001965828],"domain_scores_gemma":[0.9997109,0.0000420923,0.00003880647,0.0001424901,0.00002065413,0.0000450483],"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":[0.00009568092,0.0004359799,0.0001762215,0.00005926302,0.0001400557,0.00001283373,0.01388311,0.9177871,0.000194149,0.0001766833,0.01269696,0.05434193],"study_design_scores_gemma":[0.0004140991,0.0008084583,0.000123504,0.0000229746,0.0000549961,0.000005708279,0.008506497,0.9851611,0.0001164919,0.000002823751,0.004592138,0.0001912596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708693,0.00008145456,0.02021714,0.000028836,0.0004890802,0.001697473,0.00003792546,0.00614118,0.0004375866],"genre_scores_gemma":[0.9967433,0.000004267499,0.001421862,0.00004477792,0.0002531852,0.001422114,0.00002791674,0.0000413644,0.00004123658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06737392,"threshold_uncertainty_score":0.8335298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510900219216756,"score_gpt":0.2799512588789796,"score_spread":0.2548422566868121,"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."}}