{"id":"W2071550439","doi":"10.1007/s10661-006-9452-x","title":"Externalities of Fugitive Dust","year":2006,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Externality; Fugitive emissions; Human health; Environmental science; Pollutant; Air pollutants; Air pollution; Atmospheric dust; Environmental engineering; Natural resource economics; Environmental protection; Geography; Environmental health; Aerosol; Meteorology; Chemistry; Greenhouse gas; Economics; Ecology","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":[0.0001768045,0.0001153055,0.0001336842,0.00001658284,0.0001319232,0.00001525962,0.00006815563,0.00004200912,0.0004314528],"category_scores_gemma":[0.000002024299,0.000109106,0.00002920596,0.00003184465,0.0002206332,0.0001578051,0.0001217887,0.0001116607,0.00002807946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188555,"about_ca_system_score_gemma":0.000005197345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008098489,"about_ca_topic_score_gemma":0.000003779961,"domain_scores_codex":[0.9990237,0.000046302,0.0002250922,0.0001912832,0.0002926166,0.000221034],"domain_scores_gemma":[0.9996532,0.00004429832,0.00009599241,0.0001180659,6.361863e-7,0.00008785499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007776135,0.0001530153,0.9769495,0.00001619996,0.000005727024,0.00000397849,0.0002175794,0.0001237153,0.008789266,0.0002992815,0.0002211848,0.01321285],"study_design_scores_gemma":[0.0002356532,0.00009922597,0.9831695,0.00002580253,0.000008160561,0.000003856645,0.0006590774,0.00005237196,0.01011095,0.0007277674,0.004794055,0.0001135805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886264,0.0001489449,0.0002389115,0.0002334283,0.0001271901,0.0001014411,0.00002390834,0.00001616423,0.01048364],"genre_scores_gemma":[0.9946042,0.0001095519,0.003988031,0.00003880577,0.0001277824,0.00001120115,0.000005830498,0.000009268094,0.001105291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309927,"threshold_uncertainty_score":0.4724106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236485433751057,"score_gpt":0.3023307453849585,"score_spread":0.279965891047448,"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."}}