{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000276523,0.0001873822,0.0002070534,0.00002679511,0.00006652893,0.00001887014,0.0001555699,0.00009943554,0.001213103],"category_scores_gemma":[0.00003581908,0.0001660868,0.00003297987,0.0001500681,0.0001839583,0.00008041821,0.00009893033,0.000169123,0.00001242016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288869,"about_ca_system_score_gemma":0.00005003515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01013205,"about_ca_topic_score_gemma":0.4616139,"domain_scores_codex":[0.9986359,0.00002753512,0.0003636315,0.0003911108,0.0003284921,0.0002532784],"domain_scores_gemma":[0.9991336,0.0002697907,0.000189569,0.0003303862,0.00001164848,0.00006495984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005050058,0.00009055507,0.8827503,0.00003152336,0.00001298805,0.000004578271,0.0007625158,0.00004833878,0.1112482,0.00009176169,0.00004736738,0.004861382],"study_design_scores_gemma":[0.002056359,0.00003770669,0.8409558,0.00006780402,0.00002426459,0.00001055408,0.00322619,0.0007253882,0.1503281,0.00004074562,0.002097346,0.0004297758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967309,0.00004018758,0.00001398728,0.0003132487,0.00005381294,0.0004301899,0.00005846166,0.00001175174,0.002347428],"genre_scores_gemma":[0.9992953,0.00001431164,0.00001698493,0.00007779627,0.0000286401,0.00005524898,0.0003025067,0.00001166678,0.000197557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4514819,"threshold_uncertainty_score":0.9997,"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."}}