{"id":"W2022894424","doi":"10.1145/2728732.2728737","title":"Network improvement for equilibrium routing","year":2015,"lang":"en","type":"article","venue":"ACM SIGecom Exchanges","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Routing (electronic design automation); Mathematical optimization; Work (physics); Network planning and design; Traffic network; Series (stratigraphy); Static routing; Routing protocol; Computer network; Mathematics","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":[0.0007447508,0.00006749529,0.00008974999,0.00002541488,0.000211852,0.00005844327,0.0001949376,0.00006298181,0.00003320874],"category_scores_gemma":[0.0003701042,0.00006904046,0.00002993027,0.0001342317,0.00003525423,0.0001466472,0.00001821553,0.00003776419,0.00001126381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004414417,"about_ca_system_score_gemma":0.0000837015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003755922,"about_ca_topic_score_gemma":0.0008896145,"domain_scores_codex":[0.9992142,0.00003705922,0.0001272227,0.0001454992,0.0001801928,0.0002958247],"domain_scores_gemma":[0.9993752,0.000176087,0.00007712806,0.0001364139,0.0001236016,0.0001115707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003119684,0.0002128569,0.1308553,0.0001099452,0.0001302907,0.000008971193,0.234824,0.0523606,0.0003868305,0.06858196,0.4100542,0.1021631],"study_design_scores_gemma":[0.00304006,0.0008035927,0.01105819,0.0001350422,0.0001264241,5.967266e-7,0.04122943,0.005228728,0.0006497668,0.05175029,0.8849086,0.00106932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6747608,0.003657348,0.1386786,0.08131558,0.01340274,0.004951356,0.0001482407,0.00259719,0.08048808],"genre_scores_gemma":[0.9809839,0.00002358419,0.01351821,0.0007172264,0.001331918,0.00007840194,0.0000880704,0.00001627553,0.003242395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4748544,"threshold_uncertainty_score":0.2815388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08679214533124972,"score_gpt":0.3312607305876934,"score_spread":0.2444685852564437,"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."}}