{"id":"W3109280578","doi":"10.1016/j.envpol.2020.116115","title":"Fugitive emissions of polycyclic aromatic compounds from an oil sands tailings pond based on fugacity and inverse dispersion flux calculations","year":2020,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Environment and Climate Change Canada","funders":"Natural Resources Canada; Environment and Climate Change Canada; Government of Canada","keywords":"Oil sands; Fugacity; Tailings; Environmental science; Flux (metallurgy); Dispersion (optics); Fugitive emissions; Oil spill; Environmental chemistry; Environmental engineering; Chemistry; Geology; Greenhouse gas; Asphalt; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001588003,0.0004091053,0.0001976995,0.0003865455,0.0003366356,0.000463905,0.0003161782,0.0002759894,0.0004703177],"category_scores_gemma":[0.0002213691,0.0001480724,0.0004696601,0.0002653368,0.0001825251,0.0002880588,0.0002455136,0.0002275271,0.0001045165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133159,"about_ca_system_score_gemma":0.0008841458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2013908,"about_ca_topic_score_gemma":0.2298069,"domain_scores_codex":[0.9998713,0.000008301496,0.000005071971,0.00003355261,0.00006694884,0.00001473203],"domain_scores_gemma":[0.9999405,0.00001819653,0.000009990715,0.000006520722,0.00001974243,0.000004937505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003760938,0.0001591856,0.4277808,0.0001767893,0.00015575,0.0004501867,0.0003736121,0.2876199,0.245498,0.001739738,0.0005046176,0.03516546],"study_design_scores_gemma":[0.0000334887,0.0002073548,0.2166796,0.00001314258,0.0001090545,0.0001362998,0.0002885818,0.6724524,0.1071559,0.0006674009,0.002211785,0.0000448621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914101,0.00004989417,0.006842011,0.00001566423,0.000002367865,0.00001852393,0.0002099652,0.00006973045,0.001381868],"genre_scores_gemma":[0.9953277,0.00008519384,0.003372846,0.000006196438,8.923649e-7,0.00001321043,0.0003065187,0.000009490667,0.0008777927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2013908,"threshold_uncertainty_score":0.4004371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099024211338681,"score_gpt":0.2204065426660397,"score_spread":0.2094163005526528,"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."}}