{"id":"W1998488710","doi":"10.1007/s00128-011-0458-x","title":"Methylmercury Concentrations in Six Fish Species from Two Colombian Rivers","year":2011,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Universidad de Antioquia; National Science Foundation","keywords":"Catfish; Methylmercury; Ecotoxicology; Mercury (programming language); Fish <Actinopterygii>; Fishery; Sentinel species; Mercury contamination; Contamination; Environmental chemistry; Biology; Environmental science; Zoology; Ecology; Chemistry; Bioaccumulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001390986,0.0001199426,0.0001920789,0.00004038028,0.00007650866,0.00000549063,0.00008872711,0.00006837239,0.03547662],"category_scores_gemma":[0.00003433595,0.0001256964,0.00003328628,0.00004358978,0.0006199156,0.00006179864,0.0001091968,0.00008330662,0.000131538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077018,"about_ca_system_score_gemma":0.000003785829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005809022,"about_ca_topic_score_gemma":0.0009465727,"domain_scores_codex":[0.9990819,0.0001159522,0.0002683136,0.0002303,0.0001319195,0.0001716043],"domain_scores_gemma":[0.9995716,0.0001314149,0.0001248427,0.00009806835,0.000002084569,0.00007194789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006803772,0.0003214019,0.9157875,0.000003456432,0.00003391872,0.00001268575,0.00497336,0.000007399618,0.06337809,0.00131115,0.003019139,0.01108382],"study_design_scores_gemma":[0.001019882,0.0001471698,0.9480099,0.0000044049,0.00001832763,0.000002172807,0.001717791,0.00001617843,0.01123974,0.0002114573,0.03749127,0.0001216889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679449,0.00005471279,0.00003709195,0.0005127414,0.0000883994,0.0002238718,0.00009289927,0.000009832444,0.03103559],"genre_scores_gemma":[0.9974396,0.0002258001,0.000623189,0.0006840319,0.00001219284,0.00001699516,0.00003186675,0.000006738854,0.0009595334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05213835,"threshold_uncertainty_score":0.9654051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079317438877829,"score_gpt":0.2291385623321845,"score_spread":0.2083453879434062,"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."}}