{"id":"W2053559784","doi":"10.1016/j.scitotenv.2006.01.039","title":"Mercury contamination in fish from gold mining areas in Indonesia and human health risk assessment","year":2006,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mercury (programming language); Hazard quotient; Reference dose; Gold mining; Freshwater fish; Environmental science; Diversity of fish; Population; Contamination; Fish consumption; Human health; Fishery; Toxicology; Environmental chemistry; Fish <Actinopterygii>; Risk assessment; Biology; Ecology; Environmental health; Chemistry; Medicine","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":[0.001230802,0.0001066884,0.0001494342,0.00004295137,0.0002593494,0.00002307253,0.0002717061,0.00002098307,0.00008426024],"category_scores_gemma":[0.00001804246,0.0000675277,0.00002509854,0.0002472525,0.0010967,0.0002197094,0.0003697812,0.0001198605,0.000005217643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413918,"about_ca_system_score_gemma":0.00001753302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007832472,"about_ca_topic_score_gemma":0.0008073681,"domain_scores_codex":[0.998543,0.0001444435,0.0002954148,0.0002477201,0.0005243659,0.0002450648],"domain_scores_gemma":[0.9994053,0.00006754919,0.0002274879,0.0002559846,0.000001736491,0.00004199424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008344666,0.0002117334,0.9218547,0.000004695141,0.00000552738,9.402184e-7,0.003765708,0.02396941,0.04281652,0.000310228,0.0002855885,0.006766608],"study_design_scores_gemma":[0.0002932894,0.00003908127,0.9956707,0.00002245308,0.000005423703,0.000001007299,0.0007569958,0.0007548031,0.001704282,0.0006527783,0.00002380065,0.00007536463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963157,0.00004060633,0.00001396858,0.001776591,0.00004652667,0.0002923989,0.00001201708,0.000003879423,0.00149834],"genre_scores_gemma":[0.999529,0.00004060845,0.000184041,0.00006344916,0.00001038897,0.00001548647,0.000001954081,0.000004184772,0.0001509087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07381602,"threshold_uncertainty_score":0.9987745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146316804147388,"score_gpt":0.2544966789645464,"score_spread":0.2430335109230725,"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."}}