{"id":"W2016240073","doi":"10.1016/j.atmosenv.2008.06.013","title":"Atmospheric mercury accumulation and washoff processes on impervious urban surfaces","year":2008,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impervious surface; Mercury (programming language); Environmental science; Surface runoff; Stormwater; Environmental chemistry; Hydrology (agriculture); Deposition (geology); Precipitation; Particulates; Surface water; Environmental engineering; Chemistry; Meteorology; Geography; Ecology; Geology; Sediment; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001215127,0.0003118253,0.0002569411,0.000001330522,0.0004443013,0.00002283635,0.0001512342,0.00008255157,0.002600039],"category_scores_gemma":[0.00004317363,0.0002654296,0.00004641547,0.0002184502,0.0005684592,0.0002974844,0.0001782516,0.0001207406,0.000917835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187397,"about_ca_system_score_gemma":0.00001334932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649762,"about_ca_topic_score_gemma":0.00001875432,"domain_scores_codex":[0.9982516,0.00005667835,0.0002930908,0.0005052995,0.000505374,0.0003879112],"domain_scores_gemma":[0.9992515,0.0001070139,0.0001372158,0.0003117557,0.000005033298,0.0001874848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004672457,0.0002631732,0.9485891,0.00002998744,0.00005605097,0.00002573843,0.003738025,0.02605111,0.001038029,0.00002123362,0.009695903,0.01044485],"study_design_scores_gemma":[0.0007350065,0.0004374643,0.9306624,0.00002214218,0.00005047271,0.00004469026,0.0006329369,0.003263725,0.000987991,0.0001073865,0.06240615,0.00064962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933282,0.001096106,0.0002035724,0.0003799423,0.00008093935,0.000350253,0.000004101079,0.00008064355,0.004476245],"genre_scores_gemma":[0.9895368,0.0034055,0.004146311,0.000552413,0.00004828938,0.00005493606,0.000009067478,0.00003378255,0.002212869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05271025,"threshold_uncertainty_score":0.9999798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179669453833653,"score_gpt":0.2386143492473373,"score_spread":0.2168176547090007,"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."}}