{"id":"W4406256905","doi":"10.1088/2752-664x/ada8b2","title":"A comparison of the effects of beaver ponds and forest harvest on stream methylmercury in boreal watersheds","year":2025,"lang":"en","type":"article","venue":"Environmental Research Ecology","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; The Scarborough Hospital; McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Jarislowsky Foundation; Canada Foundation for Innovation; Centre for Environmental Research in the Anthropocene, University of Toronto Scarborough","keywords":"Beaver; Taiga; Methylmercury; Environmental science; Boreal; Geography; Ecology; Hydrology (agriculture); Forestry; Physical geography; Biology; Geology","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":[0.0003433651,0.0001915005,0.0002349088,0.0007140379,0.0009133205,0.000745917,0.0003083242,0.0001490764,0.0006337464],"category_scores_gemma":[0.001294405,0.0001095237,0.0002346814,0.0008615757,0.0006638913,0.0002767277,0.0005498289,0.0001845412,0.00003548732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069995,"about_ca_system_score_gemma":0.003137612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6644388,"about_ca_topic_score_gemma":0.9086229,"domain_scores_codex":[0.9995659,0.00007182457,0.00001927769,0.00007933259,0.0001315572,0.0001320941],"domain_scores_gemma":[0.998857,0.000161812,0.0003171843,0.00003737685,0.0002938218,0.0003327313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002044723,0.00006068635,0.9896544,0.00001523811,0.00006693884,0.0001351813,0.0005050817,0.000180546,0.003559427,0.00003363008,0.0001075777,0.005476864],"study_design_scores_gemma":[8.467308e-7,0.00001852367,0.9994596,0.000001366012,0.000007476498,0.00001114311,0.0002863519,0.00005853349,0.00008862043,0.000004868238,0.00006125733,0.000001450576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995865,0.00003061624,0.00003205481,0.000008502424,7.946621e-7,0.000004576708,0.00005730252,0.000002543287,0.0002770252],"genre_scores_gemma":[0.9996238,0.00003094263,0.0001061955,0.000009359279,8.560701e-7,0.000003635778,0.00008202926,0.000001082553,0.0001420869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6644388,"threshold_uncertainty_score":0.6750747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922859456790588,"score_gpt":0.3158221265757321,"score_spread":0.2965935320078262,"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."}}