{"id":"W791580567","doi":"","title":"OVERCOMING TRAFFIC CONGESTION. A DISCUSSION OF REDUCTION STRATEGIES AND BEHAVIORAL RESPONSES FROM A NORTH-AMERICAN PERSPECTIVE","year":2002,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Perspective (graphical); Traffic congestion; Balance (ability); Travel behavior; Transport engineering; Congestion pricing; Demand management; Public economics; Economics; Computer science; Business; Operations research; Engineering; Psychology","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":[0.001918133,0.0005060218,0.0002670835,0.001004496,0.002272335,0.002302963,0.001168259,0.002079015,0.003430214],"category_scores_gemma":[0.002191406,0.0001699139,0.0003311994,0.00169444,0.002689744,0.001541171,0.001149447,0.001634147,0.0002243413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744501,"about_ca_system_score_gemma":0.003592112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0386824,"about_ca_topic_score_gemma":0.1041537,"domain_scores_codex":[0.9987183,0.0006584534,0.00003542595,0.0001066176,0.0002712776,0.000209941],"domain_scores_gemma":[0.9991838,0.0003694317,0.0001316641,0.00002164363,0.0002092176,0.00008429711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001427768,0.001258695,0.03268428,0.003084469,0.00019881,0.0007827438,0.02463446,0.01050328,0.004240099,0.4040751,0.05188613,0.4665091],"study_design_scores_gemma":[0.00004151448,0.001260562,0.09641289,0.001927975,0.0001973652,0.0008083949,0.09008102,0.01061353,0.004138163,0.07840364,0.7159576,0.0001572838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1865188,0.08611359,0.03360816,0.3130199,0.001714043,0.0003271178,0.0002592538,0.00013345,0.3783057],"genre_scores_gemma":[0.8774944,0.0618386,0.00912544,0.02893826,0.0005923552,0.0004389991,0.00009799364,0.00001960628,0.02145426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0386824,"threshold_uncertainty_score":0.07691449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969396283966374,"score_gpt":0.34799340810129,"score_spread":0.2982994452616262,"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."}}