{"id":"W629066184","doi":"","title":"COMPILING TRAFFIC MODELS USING TSC","year":2001,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Compiler; Computer science; Template; Programming language; Code (set theory); Traffic model; Code generation; Software engineering; Parallel computing; Operating system; Computer network","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002053964,0.0001570571,0.0001707742,0.00009970731,0.0002306917,0.0001482023,0.0003916191,0.00008393492,0.0000164833],"category_scores_gemma":[0.000006670588,0.0001592565,0.00008019903,0.0004155442,0.00002710229,0.001218796,0.00007152269,0.0001128165,0.00003944893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004609058,"about_ca_system_score_gemma":0.00005226314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007408553,"about_ca_topic_score_gemma":0.000002767232,"domain_scores_codex":[0.9986452,0.00007852748,0.0002988419,0.0003663774,0.0002964727,0.0003145168],"domain_scores_gemma":[0.9990661,0.0001679309,0.00009703013,0.0003396809,0.0002119753,0.0001173227],"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":[0.00001228282,0.00003436416,0.00008447902,0.000001566744,0.00001001172,0.000008241031,0.0005631519,0.9459986,0.00007005783,0.006155177,0.00004957816,0.04701246],"study_design_scores_gemma":[0.0004769093,0.00003272282,0.00004662947,0.00001286573,0.000009861754,0.00001364014,0.00003933354,0.9947332,0.000008697086,0.0005787677,0.00385414,0.0001932551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1501999,0.0001003732,0.8469712,0.0005967043,0.0003924247,0.0001535578,0.000002383752,0.0003553305,0.001228151],"genre_scores_gemma":[0.9947944,0.00001300437,0.004064361,0.0005063708,0.0002842484,0.000004232628,0.000004704922,0.00001268524,0.0003159449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8445945,"threshold_uncertainty_score":0.649429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207360265222504,"score_gpt":0.2747690061519433,"score_spread":0.2426954034997183,"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."}}