{"id":"W4385546624","doi":"10.1016/j.envpol.2023.122307","title":"Tracking pollution from fur farms using forensic paleolimnology","year":2023,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Queen's University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mink; Environmental science; Eutrophication; Water quality; Paleolimnology; Pollution; Sentinel species; Agriculture; Sediment; Aquaculture; Ecology; Fishery; Nutrient; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003685455,0.000316949,0.000227344,0.001999577,0.0007267264,0.0007728383,0.0004443581,0.0006245358,0.00149738],"category_scores_gemma":[0.0005216231,0.0002389694,0.0001494899,0.001096445,0.0004681892,0.0004836671,0.000692641,0.000372799,0.0006178575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931651,"about_ca_system_score_gemma":0.0004030598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005269614,"about_ca_topic_score_gemma":0.02290531,"domain_scores_codex":[0.9996119,0.00004495748,0.00001507554,0.00008313392,0.0001827491,0.00006207287],"domain_scores_gemma":[0.9996432,0.0000519492,0.00009324276,0.00003691346,0.0001531967,0.00002145661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001645276,0.00008222503,0.6378521,0.00009547316,0.00009263289,0.0007042043,0.0008393758,0.001075506,0.2643959,0.0006159618,0.0008163975,0.0932657],"study_design_scores_gemma":[0.0000149695,0.0003270071,0.838168,0.0001718597,0.0001220146,0.001700876,0.003020367,0.01218978,0.1295988,0.001315479,0.0133384,0.00003241181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775532,0.0003965287,0.01264146,0.00008388081,0.00001829778,0.00002694845,0.0004929869,0.00008422967,0.008702331],"genre_scores_gemma":[0.983213,0.0004412023,0.01193188,0.00008471977,0.00001259527,0.00001725647,0.0002795047,0.00004234872,0.003977488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005269614,"threshold_uncertainty_score":0.0104779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713449315096686,"score_gpt":0.2326045347014724,"score_spread":0.2154700415505055,"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."}}