{"id":"W1599430102","doi":"","title":"On the Existence of Optimal Taxes for Network Congestion Games with Heterogeneous Users","year":2014,"lang":"en","type":"article","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Inefficiency; Computer science; Latency (audio); Homogeneous; Price of anarchy; Network congestion; Mathematical optimization; Heterogeneous network; Computer network; Microeconomics; Economics; Mathematics; Monetary economics; Telecommunications","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":[0.0002927673,0.00003949316,0.00005525483,0.0000106025,0.0001924998,0.00001911122,0.00006837011,0.0000280864,0.00003163801],"category_scores_gemma":[0.00007336689,0.00002415014,0.00001957759,0.00007570337,0.0001134631,0.00004072347,9.345608e-7,0.00002148006,0.000001241525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005554969,"about_ca_system_score_gemma":0.00002159203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161936,"about_ca_topic_score_gemma":0.0007895101,"domain_scores_codex":[0.9995717,0.00005061412,0.00007625482,0.00007839831,0.0001244566,0.00009861554],"domain_scores_gemma":[0.9994077,0.0003757034,0.00006313508,0.00005896389,0.00007212633,0.00002238029],"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":[0.00007950007,0.0000106083,0.003015573,0.000004070398,0.000008843797,1.024363e-7,0.002080161,0.7512269,0.000003868801,0.24205,0.0008114624,0.0007089017],"study_design_scores_gemma":[0.008584767,0.01107562,0.1432841,0.001718604,0.0007188598,0.000008910257,0.04496922,0.5021116,0.008459278,0.05467946,0.2210732,0.003316466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7634698,0.00001910917,0.223925,0.001768346,0.0001402843,0.0004147528,0.00001014681,0.00008203091,0.01017052],"genre_scores_gemma":[0.9895396,0.000007599877,0.00948772,0.0001854485,0.00004584293,0.00001622455,0.000007213957,0.000003792282,0.0007065752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2491154,"threshold_uncertainty_score":0.1480572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103939639910675,"score_gpt":0.2634410918396812,"score_spread":0.2424016954405745,"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."}}