{"id":"W2968035446","doi":"10.1016/j.apgeochem.2019.104403","title":"Lake-specific controls on the long-term stability of mining-related, legacy arsenic contamination and geochemical baselines in a changing northern environment, Tundra Mine, Northwest Territories, Canada","year":2019,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Geological Survey of Canada; Natural Resources Canada; Queen's University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Polar Knowledge Canada","keywords":"Tundra; Sediment; Bedrock; Weathering; Environmental science; Geology; Biogeochemistry; Arctic; Climate change; Physical geography; Ecosystem; Paleolimnology; Hydrology (agriculture); Geochemistry; Ecology; Oceanography; Geomorphology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003514564,0.0001114385,0.0001919663,0.0004621976,0.001134884,0.0007536641,0.000407637,0.0002013988,0.0008397535],"category_scores_gemma":[0.0006582368,0.0001183974,0.00013261,0.001161994,0.0004455124,0.00031102,0.0004442406,0.0002040546,0.00008696612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0126909,"about_ca_system_score_gemma":0.01018337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9635785,"about_ca_topic_score_gemma":0.9882692,"domain_scores_codex":[0.9997762,0.00002577468,0.00001297931,0.00005226144,0.00006211273,0.00007072509],"domain_scores_gemma":[0.9992257,0.00003821132,0.0001018699,0.00002807872,0.0005166514,0.0000895261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006536757,0.0000624735,0.9689791,0.00003060716,0.0001169793,0.0001016291,0.001488515,0.001502773,0.01406257,0.0005646619,0.000992196,0.01144475],"study_design_scores_gemma":[0.00000213854,0.00001036166,0.9977866,0.000002789786,0.00001016335,0.00001022916,0.0005403204,0.0003096854,0.0006854048,0.00002286753,0.0006159393,0.000003434557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976115,0.00008235197,0.0001119868,0.00007575484,0.00000212762,0.000006261946,0.001081209,0.000006448902,0.001022387],"genre_scores_gemma":[0.998096,0.00006002249,0.0001341748,0.0000169824,7.761681e-7,0.000003596945,0.000452655,0.00000345744,0.00123234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03642148,"threshold_uncertainty_score":0.09207934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005045710080498028,"score_gpt":0.1725716598566341,"score_spread":0.1675259497761361,"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."}}