{"id":"W2998904582","doi":"10.1007/s10661-020-8067-y","title":"Use of pre-industrial baselines to monitor anthropogenic enrichment of metals concentrations in recently deposited sediment of floodplain lakes in the Peace-Athabasca Delta (Alberta, Canada)","year":2020,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Alberta Environment and Parks; Suncor Energy Incorporated; BC Hydro; Canadian Natural Resources Limited","keywords":"Oil sands; Sediment; Environmental science; Delta; Hydrology (agriculture); Tailings; Floodplain; Environmental monitoring; Paleolimnology; Geology; Environmental chemistry; Environmental engineering; Ecology; Geomorphology; Archaeology; 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":[0.0002781198,0.0003383734,0.0001477071,0.001108867,0.0009485512,0.0006379073,0.0004649311,0.0002415875,0.0006636123],"category_scores_gemma":[0.000368868,0.0001448911,0.0001355169,0.001405637,0.000456038,0.000181096,0.0004313599,0.0001909102,0.0001408065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003639412,"about_ca_system_score_gemma":0.002883253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7418169,"about_ca_topic_score_gemma":0.9284633,"domain_scores_codex":[0.9997235,0.00001218762,0.000009751869,0.00006984733,0.0001328118,0.00005195962],"domain_scores_gemma":[0.9996952,0.00001385703,0.00004974481,0.00001514363,0.0001863482,0.0000398009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002559461,0.0001056053,0.918412,0.00007982999,0.00007852087,0.0002217178,0.001331011,0.001391488,0.04705669,0.0002238213,0.0006676314,0.03017583],"study_design_scores_gemma":[0.000006227548,0.00003162848,0.9933234,0.000007191698,0.00001476021,0.00002398056,0.0005023103,0.0007798516,0.003676923,0.00003711377,0.001589828,0.000006740414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941454,0.000159982,0.001213784,0.00004409608,0.000006606333,0.00004488337,0.001303542,0.00007493053,0.0030067],"genre_scores_gemma":[0.9936683,0.0001650545,0.002968774,0.00004669472,0.000004230891,0.00003711367,0.001411443,0.00001178466,0.00168669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2581831,"threshold_uncertainty_score":0.5194072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294896564963284,"score_gpt":0.2538532049921845,"score_spread":0.2243635484958561,"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."}}