{"id":"W2198528114","doi":"10.1139/cjfas-2015-0249","title":"Interannual and long-term changes in the trophic state of a multibasin lake: effects of morphology, climate, winter aeration, and beaver activity","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Wisconsin Department of Natural Resources","keywords":"Environmental science; Beaver; Trophic level; Eutrophication; Precipitation; Structural basin; Water quality; Hydrology (agriculture); Temperate climate; Productivity; Trophic state index; Bay; Ecology; Oceanography; Nutrient; Geography; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521593,0.000173663,0.0001623215,0.000542976,0.0004142883,0.0004651858,0.0001746774,0.0002142008,0.0004387822],"category_scores_gemma":[0.0005538703,0.000133638,0.0001419971,0.0005305295,0.0003100688,0.0003139545,0.000349073,0.0001736663,0.00008527564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008172846,"about_ca_system_score_gemma":0.0003078889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0408433,"about_ca_topic_score_gemma":0.1639944,"domain_scores_codex":[0.9999034,0.00001817243,0.00000862044,0.0000256094,0.00002133103,0.0000228111],"domain_scores_gemma":[0.9995147,0.00006850766,0.0001773889,0.00002424883,0.00010488,0.0001102195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548349,0.00005817989,0.9928281,0.000008137115,0.00007932131,0.00004542472,0.000285347,0.0001165099,0.00344572,0.00001444969,0.00009842687,0.002865541],"study_design_scores_gemma":[7.048428e-7,0.00002243461,0.9996823,6.37321e-7,0.000007096319,0.00001065159,0.00007391721,0.00009195952,0.0000544559,0.000003239174,0.00005169232,9.764927e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997746,0.00002988815,0.00001759251,0.000006286174,6.727503e-7,0.000001367814,0.00008250983,0.000001590928,0.00008551328],"genre_scores_gemma":[0.9996758,0.00002131965,0.00003473246,0.000005700226,0.000001136786,0.000003819836,0.0001520548,7.060902e-7,0.0001047272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408433,"threshold_uncertainty_score":0.08121115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793106031417857,"score_gpt":0.2184638398771652,"score_spread":0.2005327795629866,"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."}}