{"id":"W2267992617","doi":"10.7307/ptt.v27i6.1734","title":"SOLVING TRAFFIC CONGESTION FROM THE DEMAND SIDE","year":2015,"lang":"en","type":"article","venue":"PROMET - Traffic&Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Demand management; Traffic congestion; Singapore Area Licensing Scheme; Demand side; Congestion pricing; Public transport; Transport engineering; Road pricing; On demand; Operations research; Computer science; Business; Economics; Engineering; Environmental economics","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":[0.0009154301,0.0006191334,0.0007972125,0.0006759666,0.0004063106,0.001668471,0.001044465,0.0009518891,0.003327288],"category_scores_gemma":[0.001775518,0.0002816004,0.0007597882,0.001082019,0.0004652486,0.001745304,0.001533512,0.001090247,0.0002568144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008098967,"about_ca_system_score_gemma":0.001494278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003695805,"about_ca_topic_score_gemma":0.002403062,"domain_scores_codex":[0.9993211,0.000285482,0.00003055116,0.0001167713,0.0001549173,0.00009125581],"domain_scores_gemma":[0.9995258,0.000246257,0.00005280246,0.0000292343,0.0001080264,0.00003784253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007628182,0.0002145691,0.003106273,0.001399494,0.0001665234,0.0003021833,0.0003690525,0.3824441,0.003261365,0.3727663,0.01386535,0.2220285],"study_design_scores_gemma":[0.00001854643,0.00009733504,0.001726984,0.0001671308,0.00007187681,0.0001769754,0.0005135567,0.7643211,0.001578777,0.2042487,0.02702538,0.00005368476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04201503,0.006793825,0.9176561,0.003284084,0.0004320889,0.000159764,0.0003774947,0.0001868276,0.02909479],"genre_scores_gemma":[0.8592688,0.01122924,0.1162476,0.0004264101,0.001018379,0.0002545443,0.0006375898,0.0001087973,0.01080857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003695805,"threshold_uncertainty_score":0.01113087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03631808607571341,"score_gpt":0.282689701285381,"score_spread":0.2463716152096676,"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."}}