{"id":"W4399178762","doi":"10.1029/2023jg007927","title":"Impacts of Mineral Dust on Trace Element Concentrations (As, Cd, Cu, Ni and Pb) in Lichens and Soils at Lhù’ààn Mân’ (Yukon Territory, Canada)","year":2024,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Lichen; Mineral dust; Environmental science; Environmental chemistry; Deposition (geology); Trace element; Ecosystem; Soil water; Vegetation (pathology); Biogeochemical cycle; Aerosol; Geology; Ecology; Chemistry; Sediment; Geochemistry; Soil science; Geomorphology; Biology","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":[0.0001053139,0.0002224995,0.0002298645,0.0007976574,0.001240273,0.0007921933,0.0003485848,0.0002247622,0.0007305027],"category_scores_gemma":[0.0001967508,0.0001698496,0.000189127,0.00128124,0.0004790743,0.0001676991,0.0003860777,0.000170203,0.000117903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004647988,"about_ca_system_score_gemma":0.003197956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8780399,"about_ca_topic_score_gemma":0.9456621,"domain_scores_codex":[0.9998192,0.00001109502,0.000008288153,0.00004263718,0.00005706204,0.00006159847],"domain_scores_gemma":[0.9997317,0.00001700225,0.00003660814,0.000008362805,0.0001379493,0.0000682972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007125457,0.000036454,0.9836838,0.00004467221,0.00004740752,0.0002599463,0.001269212,0.0003333886,0.009350531,0.00003811357,0.000149705,0.004715323],"study_design_scores_gemma":[0.000001004003,0.00001207072,0.9982283,0.000004902067,0.000005732677,0.00002952986,0.001021681,0.0001693694,0.0003006303,0.000004995173,0.0002187689,0.000003138613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993717,0.00004806088,0.00002049958,0.000006530289,5.256137e-7,0.000003479872,0.000224049,0.000002918229,0.0003222834],"genre_scores_gemma":[0.999199,0.00005292099,0.00006251932,0.000007408752,4.82188e-7,0.000003708203,0.0002675244,0.000001299134,0.0004050574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219601,"threshold_uncertainty_score":0.2453567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048357763400957,"score_gpt":0.3050308224831458,"score_spread":0.2745472448491363,"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."}}