{"id":"W1986295054","doi":"10.1016/j.scitotenv.2003.11.010","title":"Mercury dynamics of a temperate forested wetland","year":2004,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Methylmercury; Mercury (programming language); Environmental science; Hydrology (agriculture); Water quality; Sink (geography); Surface water; Temperate climate; Swamp; Dissolved organic carbon; Environmental chemistry; Ecology; Environmental engineering; Chemistry; Geology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000537082,0.0001040709,0.0001250651,0.00001942636,0.0003081932,0.00001017258,0.0005851982,0.00001964529,0.0002796439],"category_scores_gemma":[0.00004282388,0.00005288829,0.0000698037,0.0003036488,0.003274227,0.0001571074,0.0005709479,0.00007476774,0.00007031258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186758,"about_ca_system_score_gemma":0.00002472618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002587055,"about_ca_topic_score_gemma":0.00001409234,"domain_scores_codex":[0.9986839,0.00002953684,0.0002193011,0.0001716803,0.0006689392,0.0002266174],"domain_scores_gemma":[0.9992951,0.0000228615,0.0001628398,0.0004584256,0.00000438175,0.00005637415],"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":[0.00002811555,0.0001824823,0.004131124,0.00001069275,0.00002892781,4.880455e-7,0.0033179,0.311406,0.6762022,0.003074668,0.0001088442,0.001508549],"study_design_scores_gemma":[0.000847072,0.0002345791,0.5821742,0.00005427803,0.00007647336,0.00003133977,0.001530055,0.003285081,0.4011842,0.01019363,0.00009627234,0.0002928362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994427,0.0000257156,0.00006604724,0.001877577,0.00009949948,0.00022821,0.00001081003,0.000005358838,0.003259796],"genre_scores_gemma":[0.9991422,0.00003242261,0.0002070402,0.00002601194,0.000007245088,0.000006535194,4.994696e-7,0.000004906627,0.0005731647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.578043,"threshold_uncertainty_score":0.9994383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060924441565261,"score_gpt":0.2234714214320505,"score_spread":0.2128621770163979,"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."}}