{"id":"W2335139207","doi":"10.1021/es403080t","title":"The Magnitude and Spatial Range of Current-Use Urban PCB and PBDE Emissions Estimated Using a Coupled Multimedia and Air Transport Model","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Plume; Environmental science; Sink (geography); Shore; Wind speed; Atmospheric sciences; Volatilisation; Hydrology (agriculture); Prevailing winds; Spatial distribution; Wind direction; Particulates; Air pollution; Atmospheric dispersion modeling; Meteorology; Geography; Oceanography; Geology; Chemistry","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":[0.0001575463,0.0006205107,0.0002483013,0.0004057184,0.0003552408,0.000505352,0.000658656,0.0003379926,0.001669384],"category_scores_gemma":[0.0004346317,0.0002774116,0.0003230836,0.0007868074,0.0002075692,0.0002899609,0.0002641532,0.0001790401,0.0001721387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003686205,"about_ca_system_score_gemma":0.002353713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6498346,"about_ca_topic_score_gemma":0.6252524,"domain_scores_codex":[0.9999347,0.000007733333,0.000003596122,0.00002497013,0.0000137267,0.0000153286],"domain_scores_gemma":[0.999869,0.00004575991,0.00001829296,0.000006817215,0.00004667874,0.00001346409],"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":[0.0001183824,0.00002749358,0.0377085,0.0000413398,0.0000466721,0.00004954563,0.00005027104,0.9529194,0.001473535,0.0006926674,0.0006702201,0.006202032],"study_design_scores_gemma":[0.00001657086,0.00002110609,0.01140049,0.00000367915,0.00003070533,0.000008761624,0.00004090491,0.9870244,0.000468164,0.0001803698,0.0007949147,0.000009902878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983981,0.00007824453,0.00677853,0.00004906529,0.00000448202,0.00003944711,0.005168017,0.0002314505,0.00366988],"genre_scores_gemma":[0.9921887,0.00009323379,0.003742297,0.000008070863,0.000001800674,0.00003498162,0.002848758,0.00001682022,0.001065428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6498346,"threshold_uncertainty_score":0.7044551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666557551963918,"score_gpt":0.2946522630862668,"score_spread":0.2579866875666276,"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."}}