{"id":"W2807054402","doi":"10.1080/10962247.2018.1484395","title":"Comparing emission rates derived from a model with those estimated using a plume-based approach and quantifying the contribution of vehicle classes to on-road emissions and air quality","year":2018,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"NOx; Environmental science; Air quality index; Plume; Emission inventory; Meteorology; Atmospheric sciences; Atmospheric dispersion modeling; Street canyon; Air pollution; Environmental engineering; Combustion; Pollutant; Chemistry; Geography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007583247,0.0001226747,0.0002294333,0.0000742044,0.0002949203,0.0000457245,0.000136682,0.00005201345,9.822671e-7],"category_scores_gemma":[0.00008426528,0.0000714063,0.00004273562,0.0002194595,0.00002776497,0.0001592702,0.00007202725,0.0001690686,1.992507e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713403,"about_ca_system_score_gemma":0.00002190463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003387698,"about_ca_topic_score_gemma":0.00001203017,"domain_scores_codex":[0.9989735,0.0001022676,0.0003466669,0.0001036046,0.0003216779,0.0001522755],"domain_scores_gemma":[0.9991328,0.0001110878,0.000386614,0.0001499325,0.0001571637,0.00006238161],"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":[0.0002571186,0.00004793442,0.1182387,0.00006414954,0.0001637142,4.177274e-7,0.0007256254,0.8304601,0.04836188,0.00003885326,0.0001461893,0.001495339],"study_design_scores_gemma":[0.0007729454,0.00005737797,0.1472943,0.0006008096,0.0000952215,6.843694e-7,0.0005493302,0.839983,0.0105061,0.00004288612,0.00001488281,0.00008243475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752242,0.00008075377,0.02382508,0.0004680858,0.0000612153,0.0002130364,0.000004622249,0.0000188088,0.0001042095],"genre_scores_gemma":[0.9956538,0.00002799119,0.004159789,0.00007536004,0.0000462873,0.000002830844,0.000002399754,0.00001238989,0.00001913018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03785577,"threshold_uncertainty_score":0.2911865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06198608477834203,"score_gpt":0.3088427340247176,"score_spread":0.2468566492463756,"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."}}