{"id":"W1982589973","doi":"10.1016/j.jenvman.2011.12.023","title":"Effective mitigation efforts to reduce road dust near industrial sites: Assessment by mobile pollution surveys","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Environmental science; Air quality index; Road dust; Air pollution; Air monitoring; Pollution; Environmental engineering; Track (disk drive); Dust control; Transport engineering; Engineering; Meteorology; Geography; Particulates; Waste management","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":[0.001695802,0.0004866772,0.0003290429,0.001012662,0.0004992104,0.0004480289,0.0007003649,0.0006906063,0.0004872824],"category_scores_gemma":[0.003717473,0.0002199762,0.0003249776,0.0006738671,0.000211792,0.0005846488,0.0006088298,0.000179217,0.0001507096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008068159,"about_ca_system_score_gemma":0.001189022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104673,"about_ca_topic_score_gemma":0.05170351,"domain_scores_codex":[0.9986024,0.0007576024,0.000076668,0.0001149742,0.0003485637,0.00009978863],"domain_scores_gemma":[0.9980025,0.0005206693,0.0005561613,0.00009928702,0.0006917592,0.0001296096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004689757,0.001265592,0.8231367,0.0003284123,0.0002471944,0.0001149714,0.001062099,0.005645833,0.006597756,0.0002258934,0.0007361718,0.1601705],"study_design_scores_gemma":[0.00008368367,0.004979249,0.9767449,0.0001293841,0.000304524,0.0001066123,0.003283623,0.00760629,0.00330699,0.0003130335,0.003117409,0.00002421111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953417,0.000305379,0.002059362,0.00018159,0.000007551962,0.0001915651,0.0001941164,0.00001800086,0.001700744],"genre_scores_gemma":[0.9938638,0.00040181,0.004868152,0.00006100494,0.000009522895,0.0001276867,0.0001411614,0.000001739472,0.0005250779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02104673,"threshold_uncertainty_score":0.04184842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347482041501506,"score_gpt":0.3045505207329819,"score_spread":0.2810757003179669,"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."}}