{"id":"W2607394547","doi":"10.1007/s40534-017-0128-8","title":"A modern congestion pricing policy for urban traffic: subsidy plus toll","year":2017,"lang":"en","type":"article","venue":"Journal of Modern Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toll; Subsidy; Road pricing; Equity (law); Congestion pricing; Business; Traffic congestion; Transport engineering; Profit (economics); Economics; Public economics; Computer science; Operations research; Microeconomics; Engineering; Political science; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070649,0.0001225161,0.0002461156,0.0001983207,0.0009104728,0.0001684116,0.0002679038,0.000145923,0.000007369488],"category_scores_gemma":[0.0001778062,0.0001231142,0.0001653011,0.00007727437,0.00009807586,0.001000498,6.692788e-7,0.000145047,8.997657e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424853,"about_ca_system_score_gemma":0.0006076784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003137172,"about_ca_topic_score_gemma":0.00275781,"domain_scores_codex":[0.9985514,0.00004667101,0.0005426328,0.000151832,0.0004712719,0.0002362139],"domain_scores_gemma":[0.9981604,0.00008695618,0.0009580697,0.00013783,0.0005138615,0.0001429052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008825936,0.0001492775,0.01600491,0.00009799533,0.0001092054,0.00002504955,0.1359491,0.7699928,0.0008266317,0.01349453,0.0003194795,0.06214845],"study_design_scores_gemma":[0.01308466,0.0007723903,0.7640504,0.0008353869,0.0009300749,0.00001374128,0.005732785,0.180312,0.00092521,0.02066132,0.0114955,0.001186564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684907,0.0001875267,0.327453,0.002367998,0.0004140543,0.0003481189,0.00004592544,0.00004894055,0.0006437177],"genre_scores_gemma":[0.9942494,0.0001498958,0.004521552,0.00006194793,0.0005454237,0.000008615966,0.00005929203,0.00002078803,0.0003830648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7480454,"threshold_uncertainty_score":0.7002712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536838524781753,"score_gpt":0.3285264594862877,"score_spread":0.2931580742384702,"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."}}