{"id":"W2087846378","doi":"10.1016/j.scitotenv.2007.12.008","title":"Factors affecting methylmercury distribution in surficial, acidic, base-metal mine tailings","year":2008,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Tailings; Base metal; Methylmercury; Mining engineering; Geology; Environmental chemistry; Environmental science; Base (topology); Geochemistry; Chemistry; Metallurgy; Bioaccumulation; Materials science","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":[0.0001924162,0.0002125533,0.0001962766,0.0006976404,0.0005041552,0.0005817852,0.0002342222,0.0003689018,0.0007353496],"category_scores_gemma":[0.0004721435,0.0001786939,0.0001676574,0.0007409327,0.0004006563,0.0003289036,0.0002576446,0.0001720917,0.0002198238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00046405,"about_ca_system_score_gemma":0.0004078559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03757919,"about_ca_topic_score_gemma":0.07065909,"domain_scores_codex":[0.9998341,0.00001851577,0.00001451361,0.00004445566,0.00003800461,0.00005043722],"domain_scores_gemma":[0.9995359,0.000101319,0.0001410833,0.00001192922,0.0001527563,0.00005705871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00057083,0.00005963845,0.9181235,0.00002775388,0.00003937916,0.000211094,0.0004619622,0.0002113722,0.07673101,0.00002719247,0.00004605866,0.003490073],"study_design_scores_gemma":[0.000002801292,0.0001673601,0.9934093,0.000002517644,0.00001659472,0.00008605631,0.0008016569,0.0001654346,0.00518722,0.00002177096,0.000135889,0.00000359223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998137,0.00001587224,0.00002004961,0.000002819677,3.410955e-7,0.000001191976,0.00004744403,7.092221e-7,0.00009790131],"genre_scores_gemma":[0.9992932,0.00003997044,0.00004677165,0.00000741148,0.000001503217,0.000002143339,0.0001038048,8.407999e-7,0.0005042595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03757919,"threshold_uncertainty_score":0.07472086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835482133586902,"score_gpt":0.2442071372047362,"score_spread":0.2158523158688672,"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."}}