{"id":"W1975689915","doi":"10.1016/j.scitotenv.2005.11.027","title":"Factors that influence methylmercury flux rates from wetland sediments","year":2006,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Saint Paul University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Methylmercury; Water column; Sediment; Wetland; Environmental chemistry; Pore water pressure; Surface water; Flux (metallurgy); Chemistry; Environmental science; Hydrology (agriculture); Geology; Environmental engineering; Ecology; Oceanography; Geomorphology; Bioaccumulation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002992173,0.0002507298,0.0003265843,0.000335204,0.0006006904,0.001043974,0.0001916545,0.0003432704,0.0009698356],"category_scores_gemma":[0.001144226,0.0002922486,0.0002266629,0.0003811282,0.0004519706,0.0004667902,0.0003131328,0.0002803184,0.0001507717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373549,"about_ca_system_score_gemma":0.0008285713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03685547,"about_ca_topic_score_gemma":0.05073128,"domain_scores_codex":[0.9997734,0.00003013607,0.00002049226,0.00005510604,0.0000516094,0.00006925867],"domain_scores_gemma":[0.9994823,0.0002032195,0.0001184115,0.00002162954,0.0001116231,0.00006279007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001758342,0.0001114194,0.2040029,0.0001199273,0.0001114833,0.0002782507,0.0003409822,0.001328858,0.7842898,0.0002383731,0.0002417027,0.007177906],"study_design_scores_gemma":[0.00002612076,0.0002708095,0.9019485,0.000007392707,0.00007273012,0.0001449729,0.0004959581,0.0009562176,0.09502897,0.0001085233,0.0009215415,0.00001824786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991769,0.00006769627,0.0001036279,0.0000275543,0.000003682047,0.000005901986,0.0001208896,0.0000047004,0.0004890108],"genre_scores_gemma":[0.9991564,0.00008400958,0.0001267654,0.00001753419,0.000002731336,0.000004577697,0.000167182,0.000006547313,0.0004342716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03685547,"threshold_uncertainty_score":0.07328188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799905540380214,"score_gpt":0.240215441174332,"score_spread":0.2222163857705299,"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."}}