{"id":"W1584121082","doi":"","title":"Traffic Congestion Pricing Methods and Technologies","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Toll; Congestion pricing; Singapore Area Licensing Scheme; Road pricing; Traffic congestion; Scope (computer science); Computer science; Electronic toll collection; Transport engineering; Value of time; Network congestion; Telecommunications; Toll road; Computer network; Travel time; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006761502,0.0003021079,0.0003902049,0.0003676183,0.0001737658,0.0003662196,0.0007498559,0.0004581779,0.00001208195],"category_scores_gemma":[0.001738965,0.0003310585,0.00008786441,0.0003526535,0.0001811352,0.00008853982,0.0006380722,0.0009559204,0.00001330015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687885,"about_ca_system_score_gemma":0.00007298712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001094945,"about_ca_topic_score_gemma":0.0001875968,"domain_scores_codex":[0.9952628,0.003127009,0.0004174212,0.0005404652,0.0002947309,0.00035759],"domain_scores_gemma":[0.9963446,0.00134862,0.0001421045,0.001431161,0.0006470897,0.0000864644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003816157,0.00008629898,0.0004418902,0.0006846047,0.000105916,0.000006422451,0.004153723,0.008097799,0.010865,0.0082481,0.0008848574,0.9664216],"study_design_scores_gemma":[0.0009043069,0.000001242322,0.0133754,0.009036551,0.0001096197,0.00008693311,0.0006348238,0.7391373,0.183474,0.007434403,0.04411878,0.001686599],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4373911,0.01737838,0.4889964,0.006229221,0.0006223577,0.001313209,0.00002644444,0.005459826,0.04258299],"genre_scores_gemma":[0.8119116,0.001666885,0.1853168,0.000006608191,0.00001777115,0.00008317101,0.00006510004,0.00005555687,0.0008764769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964735,"threshold_uncertainty_score":0.9999142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030709023209938,"score_gpt":0.2830168179361742,"score_spread":0.2627097277040748,"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."}}