{"id":"W2991265488","doi":"10.1139/er-2019-0042","title":"Review of ecological mercury and arsenic bioaccumulation within historical gold mining districts of Nova Scotia","year":2019,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Saint Mary's University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Bioaccumulation; Gold mining; Mercury (programming language); Invertebrate; Nova scotia; Environmental science; Wildlife; Ecology; Environmental protection; Geography; Biology; Archaeology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005593462,0.000161394,0.0005379433,0.00002236165,0.0000211957,0.000002654511,0.0001092179,0.00005158831,0.002080532],"category_scores_gemma":[0.0001266713,0.0001218721,0.0001109841,0.0001425261,0.000167218,0.0001398532,0.000156849,0.00007880387,0.0004425979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304813,"about_ca_system_score_gemma":0.000003631402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005019967,"about_ca_topic_score_gemma":0.00001094715,"domain_scores_codex":[0.9985396,0.0001233325,0.0006942886,0.0002584282,0.0002404492,0.0001439103],"domain_scores_gemma":[0.9991246,0.00008052717,0.0004816753,0.0002325929,7.42653e-7,0.00007989993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002012166,0.0003612209,0.8476537,0.001834364,0.00003564584,0.000001718409,0.0005797934,0.00001176028,0.0702558,0.00003060646,0.02019162,0.05902364],"study_design_scores_gemma":[0.0006296466,0.000474583,0.7199173,0.003014456,0.0001949724,0.00002173425,0.0001427624,0.00009042877,0.00249849,0.00004269059,0.2724828,0.0004901258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103245,0.08679054,0.00001858673,0.0001154814,0.0001406983,0.0006435002,0.000007058778,0.00000574804,0.001953889],"genre_scores_gemma":[0.9157406,0.08226167,0.001142858,0.0003771641,0.00001183545,0.000006721454,0.00001729989,0.000008786105,0.0004330559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2522912,"threshold_uncertainty_score":0.9988317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039445791074341,"score_gpt":0.280392697290844,"score_spread":0.2399982393801006,"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."}}