{"id":"W2917414791","doi":"10.1080/15568318.2018.1519087","title":"A new design and evaluation approach for managed lanes from a sustainability perspective","year":2019,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Software deployment; Toll; Transport engineering; Fuel efficiency; Sustainability; Traffic flow (computer networking); Traffic congestion; Toll road; Environmental economics; Vehicle miles of travel; Traffic simulation; Computer science; Microsimulation; Engineering; Automotive engineering; Economics","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":[0.004847077,0.001501342,0.0008889362,0.001783833,0.0007051838,0.004046937,0.002592597,0.001739546,0.005078312],"category_scores_gemma":[0.004544146,0.0006881288,0.001197431,0.0009981941,0.001540005,0.003505269,0.002748831,0.001488778,0.0005064962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002710226,"about_ca_system_score_gemma":0.004033752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162328,"about_ca_topic_score_gemma":0.003206727,"domain_scores_codex":[0.995572,0.002001574,0.0001473764,0.0004962826,0.00151284,0.0002698719],"domain_scores_gemma":[0.9982893,0.0004538366,0.0002485065,0.000240768,0.0006657441,0.000101923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008718798,0.0003748995,0.002565689,0.0004203936,0.0001140317,0.0002506525,0.00038277,0.5619427,0.01079255,0.2767096,0.001788694,0.1445709],"study_design_scores_gemma":[0.00007586467,0.0008951707,0.0008771201,0.0002448503,0.0001057877,0.0001587774,0.0007482739,0.8332201,0.008591599,0.1162325,0.03876655,0.00008343228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006050022,0.0001007004,0.982084,0.0002816793,0.00003685379,0.0003298832,0.00004703389,0.0001591149,0.01091073],"genre_scores_gemma":[0.3183639,0.0004532947,0.6719229,0.0001975366,0.00005979671,0.00119388,0.0001391785,0.0001574345,0.007512003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005078312,"threshold_uncertainty_score":0.02563411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089031083571809,"score_gpt":0.2613949520125273,"score_spread":0.2505046411768092,"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."}}