{"id":"W1977483284","doi":"10.1016/j.trd.2014.11.014","title":"Simulating the air quality impacts of traffic calming schemes in a dense urban neighborhood","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Traffic calming; Air quality index; Quality (philosophy); Environmental science; Computer science; Transport engineering; Geography; Meteorology; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004297982,0.0006797247,0.0007199442,0.0004597514,0.0008827035,0.0009718382,0.001638738,0.002030788,0.00279273],"category_scores_gemma":[0.001136668,0.000618273,0.001079043,0.0008275869,0.0008968175,0.0007429817,0.0007910365,0.001163119,0.0001745563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979775,"about_ca_system_score_gemma":0.001374834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2016981,"about_ca_topic_score_gemma":0.1402266,"domain_scores_codex":[0.9997043,0.00006600675,0.00001137489,0.0000632435,0.00003074717,0.0001243272],"domain_scores_gemma":[0.9991854,0.0003969669,0.00006321832,0.00005332394,0.000122451,0.0001786517],"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":[0.0002095769,0.0004895814,0.007564836,0.00001737673,0.00003675529,0.0001192554,0.00005329437,0.9887229,0.0008605017,0.000446565,0.0002744391,0.001204829],"study_design_scores_gemma":[0.00007451148,0.0001502593,0.003959912,0.000003498891,0.00002260922,0.000008330255,0.0001877357,0.9949738,0.0003438494,0.0001582514,0.0001066753,0.00001064287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975438,0.00002168747,0.000679939,0.00006813122,0.00001913266,0.00002125437,0.0001891372,0.00002732724,0.001429609],"genre_scores_gemma":[0.9983708,0.0000238785,0.0006185471,0.00001755653,0.000004694391,0.0000125547,0.0001670356,0.000006719854,0.0007782525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2016981,"threshold_uncertainty_score":0.4010481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07538302478288052,"score_gpt":0.3613630243456869,"score_spread":0.2859799995628064,"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."}}