{"id":"W2529000264","doi":"10.1016/j.marpolbul.2016.08.056","title":"Biological effects of gold mine tailings on the intertidal marine environment in Nova Scotia, Canada","year":2016,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency; Environment and Climate Change Canada","funders":"","keywords":"Nova scotia; Tailings; Gold mining; Mercury (programming language); Cove; Environmental science; Intertidal zone; Arsenic; Dredging; Bay; Oceanography; Fishery; Environmental chemistry; Mining engineering; Geology; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000244927,0.0002758085,0.0002561549,0.001078657,0.001941578,0.0007280181,0.0004623941,0.0002835734,0.0007641463],"category_scores_gemma":[0.0004180917,0.0002068774,0.0002183907,0.001350763,0.0006387907,0.0001590496,0.0005296006,0.0003442642,0.000175624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01327359,"about_ca_system_score_gemma":0.01133474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935806,"about_ca_topic_score_gemma":0.998577,"domain_scores_codex":[0.9997296,0.00002986287,0.00001367727,0.00004166912,0.00009361364,0.00009144412],"domain_scores_gemma":[0.9991586,0.00003458513,0.000104284,0.00001723644,0.0004952038,0.0001900277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004708046,0.00006682915,0.9824159,0.0000514735,0.00008256856,0.0003662457,0.001982237,0.0003002914,0.006326059,0.0001032601,0.001045053,0.006789254],"study_design_scores_gemma":[0.000003416209,0.00003833907,0.9977963,0.000008540502,0.000008574998,0.00002551454,0.001286683,0.00007489679,0.0002038525,0.00000757752,0.0005432873,0.000003059878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967103,0.000214321,0.00004919329,0.0001101588,0.000008624684,0.00002357297,0.001012378,0.000004103835,0.001867289],"genre_scores_gemma":[0.994157,0.0003513359,0.0001420549,0.00009619538,0.000002505067,0.00001148371,0.0006419757,0.000002816905,0.00459457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327359,"threshold_uncertainty_score":0.0963071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005960871964983926,"score_gpt":0.1754160272963758,"score_spread":0.1694551553313919,"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."}}