{"id":"W1992966352","doi":"10.1016/j.watres.2009.05.022","title":"Simulated rain events on an urban roadway to understand the dynamics of mercury mobilization in stormwater runoff","year":2009,"lang":"en","type":"article","venue":"Water Research","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Surface runoff; First flush; Environmental science; Stormwater; Hydrology (agriculture); Hydrograph; Mercury (programming language); TRACER; Urban runoff; Particulates; Surface water; Environmental chemistry; Chemistry; Environmental engineering; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002007749,0.0003877536,0.0004290598,0.0003027574,0.0004427459,0.0005034521,0.0006106962,0.0009136281,0.001413851],"category_scores_gemma":[0.000450275,0.0002347331,0.0005097924,0.0005212392,0.0002192072,0.0004647448,0.0003647498,0.0005371775,0.0001348608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009821535,"about_ca_system_score_gemma":0.0009960425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03586674,"about_ca_topic_score_gemma":0.04326765,"domain_scores_codex":[0.999867,0.00002965782,0.000006747726,0.00002736488,0.00002137522,0.0000478393],"domain_scores_gemma":[0.9997235,0.0001058528,0.00002618266,0.00003035956,0.00005928714,0.00005486753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00111396,0.001665485,0.09106723,0.00007176535,0.0002318181,0.0004840707,0.0003085469,0.8768818,0.01730548,0.001009307,0.001655024,0.008205558],"study_design_scores_gemma":[0.0001305251,0.0002812283,0.03680405,0.000002905608,0.00004579102,0.0000158725,0.0002913983,0.9576328,0.004096988,0.0002728593,0.0004076117,0.00001781439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986997,0.000007556685,0.0005378121,0.00002602576,0.000006231546,0.00001591424,0.0002115003,0.00003524604,0.0004600815],"genre_scores_gemma":[0.9990065,0.00001228105,0.0004706206,0.000005546354,0.000002274101,0.00001256653,0.0002155858,0.000005442118,0.0002693145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03586674,"threshold_uncertainty_score":0.07131594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05036678783901596,"score_gpt":0.330162710363321,"score_spread":0.2797959225243051,"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."}}