{"id":"W2004033578","doi":"10.1021/es049149r","title":"Synergic Effect of Gold Mining and Damming on Mercury Contamination in Fish","year":2005,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Mercury (programming language); Environmental chemistry; Gold mining; Environmental science; Anoxic waters; MERCURE; Particulates; Aquatic ecosystem; Water column; Chemistry; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002380541,0.0003298205,0.0003575948,0.00044177,0.0003070336,0.0002813881,0.0001951902,0.0003396933,0.001078741],"category_scores_gemma":[0.000366095,0.0001612051,0.0003041438,0.0003004599,0.0003523477,0.0001481212,0.0008495869,0.0001473049,0.0001179109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017891,"about_ca_system_score_gemma":0.0004592989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003138908,"about_ca_topic_score_gemma":0.01123226,"domain_scores_codex":[0.9997119,0.00007628535,0.0000166277,0.00007153521,0.00006920483,0.00005427931],"domain_scores_gemma":[0.9997126,0.00006023822,0.00008029055,0.00002774666,0.00004932134,0.00006968676],"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":[0.002080315,0.0001349253,0.29568,0.0003416759,0.0002431751,0.001433228,0.0005640354,0.0003513716,0.6608465,0.0002227361,0.000224852,0.03787712],"study_design_scores_gemma":[0.00001773487,0.001285209,0.9707371,0.00001221589,0.0001414801,0.0006000475,0.0003613561,0.0003960676,0.02478132,0.0001609951,0.001491821,0.00001455379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988231,0.0004448821,0.0001422552,0.0000350781,0.000004285402,0.000005835911,0.00003922807,0.00001380323,0.0004914986],"genre_scores_gemma":[0.9985604,0.0002687949,0.0003065512,0.00004642926,0.000004919414,0.000007030812,0.00005172686,0.000002777706,0.0007513693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003138908,"threshold_uncertainty_score":0.006241262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004928539873031486,"score_gpt":0.2311271346906348,"score_spread":0.2261985948176033,"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."}}