{"id":"W4405624211","doi":"10.1016/j.scitotenv.2024.178176","title":"Recent advances in the study of mercury biogeochemistry in Arctic permafrost ecosystems","year":2024,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Northern Studies; Environment and Climate Change Canada; Trent University","funders":"Instituto Superior Técnico; Fundação para a Ciência e a Tecnologia; Centro de Química Estrutural; Horizon 2020 Framework Programme; Universidade de Lisboa","keywords":"Permafrost; Biogeochemistry; Mercury (programming language); Arctic; Earth science; Ecosystem; Environmental science; The arctic; Oceanography; Physical geography; Ecology; Geology; Geography; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008425873,0.000732629,0.00112424,0.003133085,0.0002936079,0.001072778,0.0006236961,0.0009070102,0.002920225],"category_scores_gemma":[0.001261428,0.0002633769,0.0005673157,0.005180377,0.0004282827,0.001443735,0.0007033592,0.001175771,0.0009713327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007791262,"about_ca_system_score_gemma":0.002332282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003693578,"about_ca_topic_score_gemma":0.004406932,"domain_scores_codex":[0.9997597,0.00004249772,0.00003956945,0.00005216527,0.00008490231,0.00002115614],"domain_scores_gemma":[0.9991448,0.0004205671,0.0001151914,0.00002317534,0.0002426691,0.00005366956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006443089,0.00005570681,0.0005069774,0.04606243,0.0001464724,0.000181272,0.0001855065,0.0007677934,0.002668676,0.004088433,0.01704606,0.9282262],"study_design_scores_gemma":[0.00000722439,0.00006520804,0.00262192,0.006154166,0.0002867633,0.0005862568,0.000143371,0.0001528916,0.0008299465,0.00235195,0.9867687,0.00003156875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001779177,0.9985785,0.0001161738,0.0002181408,0.00009385277,0.00000205882,0.000023623,0.000006273865,0.0007834646],"genre_scores_gemma":[0.0008068249,0.9985893,0.0001606429,0.00008431496,0.0001152926,0.000002399787,0.00002880309,0.000001022878,0.0002112985],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003693578,"threshold_uncertainty_score":0.009769201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822861088420074,"score_gpt":0.2984080866524604,"score_spread":0.2701794757682597,"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."}}