{"id":"W2019576575","doi":"10.3141/1994-13","title":"Costs of Urban Congestion in Canada","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inro Consultants (Canada); St. Michael's Hospital; Transport Canada; Communications Research Centre Canada","funders":"Abu Dhabi Education Council; U.S. Department of Transportation","keywords":"Metropolitan area; Traffic congestion; Transport engineering; Transportation planning; Urban planning; Computer science; Operations research; Business; Environmental economics; Environmental planning; Economics; Environmental science; Engineering; Geography; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008281383,0.0004175322,0.0004566222,0.002789892,0.003214202,0.003672544,0.001195133,0.0004574772,0.004532546],"category_scores_gemma":[0.006418197,0.0002967661,0.0006439799,0.005726257,0.001161797,0.0008181768,0.001440266,0.0008793594,0.0001183134],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1452764,"about_ca_system_score_gemma":0.09275826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966634,"about_ca_topic_score_gemma":0.9970637,"domain_scores_codex":[0.9978643,0.000201109,0.00006073577,0.0001257794,0.00102258,0.0007254622],"domain_scores_gemma":[0.9969671,0.0003516687,0.0002638357,0.00006495745,0.00185422,0.0004981039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000647879,0.0002266951,0.3571828,0.0005246116,0.0005103798,0.001461942,0.002946045,0.2160638,0.0007111394,0.2158499,0.06376676,0.1401081],"study_design_scores_gemma":[0.0001851277,0.0001272072,0.6929604,0.0003265468,0.0004820515,0.0007658629,0.0108905,0.1793267,0.0008553568,0.0370318,0.07667983,0.0003684679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.86536,0.004470026,0.002561093,0.007320446,0.0001346861,0.000191147,0.007882543,0.0001304948,0.1119496],"genre_scores_gemma":[0.9930174,0.001141496,0.000614581,0.00009072326,0.00001150035,0.00002245314,0.0007716173,0.00001380168,0.004316361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1452764,"threshold_uncertainty_score":0.9913583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854301273091368,"score_gpt":0.3872180991803101,"score_spread":0.3186750864493965,"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."}}