{"id":"W590767920","doi":"","title":"Congestion Relief Using HOT Lanes","year":2007,"lang":"en","type":"article","venue":"ITE 2007 Annual Meeting and ExhibitInstitute of Transportation Engineers (ITE)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toll; Transport engineering; Traffic congestion; Congestion pricing; Sound (geography); Occupancy; Transit (satellite); Business; Computer science; Environmental science; Engineering; Civil engineering; Public transport","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008547572,0.0007560905,0.0004273727,0.001594705,0.0007651458,0.0016849,0.001487647,0.0005128133,0.008640386],"category_scores_gemma":[0.001983159,0.0003872894,0.001070321,0.001299625,0.0006119585,0.001819904,0.001318475,0.0006111291,0.0005844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009790919,"about_ca_system_score_gemma":0.001123069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243994,"about_ca_topic_score_gemma":0.02189694,"domain_scores_codex":[0.9987403,0.0004063223,0.00002866475,0.0001534785,0.0003607396,0.0003105326],"domain_scores_gemma":[0.9991336,0.0002770766,0.0001178691,0.000145848,0.0002479132,0.00007772982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009345197,0.0009589164,0.03502189,0.0004660214,0.0004308446,0.000799925,0.0007478496,0.6289169,0.008671209,0.04310029,0.01775121,0.2622004],"study_design_scores_gemma":[0.000378516,0.002767771,0.05061822,0.0002302534,0.0005215671,0.0007909011,0.004533171,0.7722636,0.02315092,0.04703617,0.09733941,0.0003694195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6507609,0.0008390875,0.2139763,0.001146475,0.0003544118,0.0009826613,0.001814699,0.002669084,0.1274564],"genre_scores_gemma":[0.9845458,0.0001761783,0.01027163,0.00009666553,0.00003459523,0.0000905079,0.0003823856,0.00004949714,0.004352667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01243994,"threshold_uncertainty_score":0.02890497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269716997963785,"score_gpt":0.2658062587329037,"score_spread":0.2531090887532659,"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."}}