{"id":"W1997735395","doi":"10.2495/air090131","title":"Managing air pollution impacts to protect local air quality","year":2009,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Atmospheric dispersion modeling; Air pollution; Air quality index; Clean Air Act; Environmental science; Major stationary source; Benchmarking; Dispersion (optics); Environmental planning; Meteorology; Business; Geography","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":[0.0007619097,0.0006916802,0.0004585941,0.0007935106,0.00233508,0.002569032,0.001780768,0.0005765453,0.003442233],"category_scores_gemma":[0.001170884,0.000210882,0.0002868169,0.001322005,0.0008102781,0.001185449,0.00202988,0.0006279881,0.0004951342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01025395,"about_ca_system_score_gemma":0.01328081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5464032,"about_ca_topic_score_gemma":0.7656505,"domain_scores_codex":[0.9992593,0.0001102393,0.00001807952,0.00008960471,0.0002551004,0.000267595],"domain_scores_gemma":[0.9992988,0.00007143409,0.00007202903,0.00004839634,0.0003812822,0.0001279154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002514097,0.0006702186,0.05498771,0.000742875,0.0002289074,0.0007254238,0.002795536,0.4582635,0.03360477,0.01018635,0.02569347,0.4118499],"study_design_scores_gemma":[0.0001641905,0.0007899575,0.1445498,0.0002256607,0.0009456202,0.0003242965,0.02605347,0.6086946,0.03572787,0.0298325,0.152479,0.0002130471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938469,0.00233988,0.08361699,0.004487943,0.0001026552,0.001141492,0.0009289896,0.001420445,0.1121147],"genre_scores_gemma":[0.9757257,0.0009470743,0.01080485,0.0001613782,0.00002209854,0.0001005877,0.0002734789,0.000051859,0.01191304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5464032,"threshold_uncertainty_score":0.9125363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667280313482157,"score_gpt":0.2686458791377134,"score_spread":0.2519730760028918,"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."}}