{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000403707,0.0004854371,0.000347626,0.0004093918,0.0003124808,0.0006835747,0.0006846964,0.0003516529,0.003207158],"category_scores_gemma":[0.002809601,0.0004324074,0.0005749903,0.0003642206,0.0004298974,0.0008937028,0.0005909621,0.0006280671,0.0008716484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003977106,"about_ca_system_score_gemma":0.001075081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572419,"about_ca_topic_score_gemma":0.00189548,"domain_scores_codex":[0.9996618,0.00005044459,0.00004415459,0.00007402538,0.0001303628,0.000039127],"domain_scores_gemma":[0.9988637,0.0004502224,0.00007957537,0.0003552919,0.0002254671,0.00002574283],"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":[0.0001477248,0.0001336579,0.004767127,0.0002779152,0.00008179845,0.0005487099,0.0003931526,0.7815267,0.02136031,0.05692279,0.009658124,0.1241819],"study_design_scores_gemma":[0.00001703289,0.00002883084,0.0001844956,0.00001860326,0.00002323497,0.00008746045,0.00002500549,0.9549088,0.02332315,0.01112993,0.01023912,0.00001424211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05848565,0.00004323787,0.8992113,0.00008987961,0.0001250857,0.0001449211,0.0004481956,0.03176242,0.009689319],"genre_scores_gemma":[0.5238383,0.000202279,0.4608538,0.0001345624,0.00004869168,0.0003075625,0.001724257,0.007535858,0.005354658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003207158,"threshold_uncertainty_score":0.01072896,"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."}}