{"id":"W2099842040","doi":"10.4319/lo.2001.46.5.1141","title":"Spatio‐temporal geochemistry of mercury in waters of the Tapajós and Amazon rivers, Brazil","year":2001,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Methylmercury; Tributary; Mercury (programming language); Environmental science; Amazon rainforest; Aquatic ecosystem; Environmental chemistry; Hydrology (agriculture); Drainage basin; Water column; Soil water; Ecosystem; Surface water; Ecology; Oceanography; Bioaccumulation; Geology; Chemistry; Geography; Environmental engineering; Soil science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008468453,0.0000688239,0.0001231633,0.00003925474,0.00005279016,0.00000196666,0.00006864275,0.0000621799,0.00007588697],"category_scores_gemma":[0.00001228637,0.00004867265,0.00003236705,0.0001974683,0.0008429947,0.00006283574,0.00009184226,0.00006779489,9.454842e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003621371,"about_ca_system_score_gemma":0.000002619705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106016,"about_ca_topic_score_gemma":0.00009145319,"domain_scores_codex":[0.9995428,0.00002497528,0.0001375402,0.0001124581,0.00006741743,0.0001147856],"domain_scores_gemma":[0.9997717,0.00002788925,0.00007336418,0.00009676225,0.0000043513,0.00002598507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000237074,0.00002122577,0.9948013,0.0000106046,0.00001253608,9.872106e-7,0.0008483839,0.000002662508,0.002904899,0.00003366439,0.0004413212,0.0008986971],"study_design_scores_gemma":[0.0002947178,0.00003820482,0.9875575,0.00001264677,0.00001202405,0.000006999318,0.00044423,0.000009745049,0.009617324,0.0008519907,0.00109923,0.00005540143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970046,0.0002698766,0.000003444555,0.0004213318,0.00003657168,0.00005775321,0.00000622181,0.000004556101,0.002195605],"genre_scores_gemma":[0.9992571,0.0004917455,0.00009341782,0.0001076928,0.000003989073,0.000001184681,0.000002770343,0.000002110332,0.00003996097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007243825,"threshold_uncertainty_score":0.3106049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006946097951769205,"score_gpt":0.2183371700178643,"score_spread":0.2113910720660951,"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."}}