{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003568642,0.0001860382,0.0003037439,0.00007069371,0.0002907281,0.000008467723,0.0001821603,0.0001123819,0.0005594993],"category_scores_gemma":[0.00004196339,0.0001461465,0.00007267403,0.0002766623,0.0006057799,0.0002174465,0.00000976424,0.0004282682,0.00002765711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009944034,"about_ca_system_score_gemma":0.00002835193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480069,"about_ca_topic_score_gemma":0.003743747,"domain_scores_codex":[0.9969006,0.0003413903,0.0007759307,0.0004033605,0.0009407332,0.0006379613],"domain_scores_gemma":[0.9988304,0.0004215043,0.0001322807,0.0003150934,0.000008709651,0.0002920112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001910298,0.0002873634,0.9174431,0.0002136783,0.00001512987,0.000007744904,0.01213923,0.0570676,0.0005357714,0.000741781,0.00008009963,0.01127746],"study_design_scores_gemma":[0.0008358132,0.0001774326,0.9843559,0.00006496286,0.00001356956,3.764488e-7,0.0007477388,0.004095502,0.0002837288,0.0002743436,0.008982357,0.0001682962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962694,0.0001026923,0.0008535868,0.001893392,0.00001908292,0.0005281804,0.00002337528,0.00001836293,0.0002919325],"genre_scores_gemma":[0.9989281,0.0002494382,0.0003681627,0.0002663927,0.00002986617,0.0000433162,0.00004177279,0.00001809225,0.00005484414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06691277,"threshold_uncertainty_score":0.6126124,"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."}}