{"id":"W2013025885","doi":"10.1016/j.atmosenv.2013.03.013","title":"An integrated modelling approach to estimate urban traffic emissions","year":2013,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"AERMOD; Environmental science; Air quality index; NOx; Meteorology; Emission inventory; Atmospheric dispersion modeling; Air pollution; Environmental engineering; Atmospheric sciences; Geography; Chemistry","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":[0.0000601,0.0002109727,0.0001561054,0.000004305068,0.0001070051,0.00004408525,0.0001991157,0.00007991097,0.0006219996],"category_scores_gemma":[0.000001337386,0.0001790306,0.00003773133,0.0001362472,0.0000202208,0.0001868303,0.00002537449,0.0001731428,0.000483367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031373,"about_ca_system_score_gemma":0.000006908643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000250127,"about_ca_topic_score_gemma":2.085341e-7,"domain_scores_codex":[0.9990347,0.00001419282,0.0002107061,0.0002490635,0.0001503064,0.0003410549],"domain_scores_gemma":[0.9992218,0.00000888245,0.00001676897,0.0003861269,0.000005516176,0.0003609149],"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":[0.000001406785,0.00007905861,0.000308275,0.00001145846,0.00001055088,5.833684e-7,0.0004267055,0.974286,0.001213775,0.000009053855,0.001883172,0.02176992],"study_design_scores_gemma":[0.0001020716,0.00004536948,0.0009979943,0.00001675741,0.000007666245,0.000002914541,0.0001230508,0.9688559,0.0001478585,0.000006186211,0.02945179,0.0002424333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6848301,0.0001490555,0.312641,0.00002598788,0.00005553814,0.0002418309,0.000001824573,0.0002435936,0.001811067],"genre_scores_gemma":[0.7864905,0.00006722588,0.2125807,0.00004011028,0.00004059922,0.0001246288,0.0000181391,0.00004669702,0.0005913647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016604,"threshold_uncertainty_score":0.7300655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008818719349592543,"score_gpt":0.1976828123374391,"score_spread":0.1888640929878466,"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."}}