{"id":"W2946582906","doi":"","title":"Bioaccumulation and transfer of mercury and arsenic in aquatic invertebrates and emergent insects at historical gold mine tailing sites of Nova Scotia","year":2019,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Bioaccumulation; Nova scotia; Mercury (programming language); Invertebrate; Environmental science; Tailings; Gold mining; Placer mining; Environmental chemistry; Mining engineering; Ecology; Geology; Oceanography; Chemistry; Biology; Geochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001470699,0.0001668224,0.0001600303,0.001022574,0.001593055,0.0005427455,0.0003752034,0.0002872024,0.0007185494],"category_scores_gemma":[0.0004357763,0.000210516,0.000152335,0.0007564217,0.0005951424,0.0001896744,0.0006000503,0.0002598099,0.0002236451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004400223,"about_ca_system_score_gemma":0.002147303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9147322,"about_ca_topic_score_gemma":0.9778689,"domain_scores_codex":[0.9998649,0.00001456321,0.000009194338,0.00003532434,0.00003193426,0.00004407083],"domain_scores_gemma":[0.9996381,0.0000329772,0.00007856341,0.00001146007,0.000175539,0.00006341759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001390515,0.00002797356,0.9847653,0.00003316466,0.00002950514,0.0006248315,0.003107038,0.0001779656,0.007361671,0.00005276444,0.0001883869,0.003492336],"study_design_scores_gemma":[0.00000127695,0.0000115473,0.9987835,0.000004653062,0.000003234173,0.00004877407,0.0008811689,0.00003773694,0.0000969535,0.000003043537,0.0001266768,0.000001411771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999103,0.00003642577,0.00001691841,0.00001311345,9.34263e-7,0.000006052815,0.0001603976,8.635347e-7,0.0006623645],"genre_scores_gemma":[0.9977776,0.00006516799,0.00007974907,0.00002533991,6.503289e-7,0.000006616782,0.0001678905,0.000001385426,0.001875617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08526784,"threshold_uncertainty_score":0.17154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393696879171728,"score_gpt":0.1911858540720739,"score_spread":0.1772488852803566,"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."}}