{"id":"W2083297401","doi":"10.1016/j.jglr.2011.01.003","title":"Application of a eutrophication model for assessing water quality in Lake Winnipeg","year":2011,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Eutrophication; Cyanobacteria; Phytoplankton; Environmental science; Chlorophyll a; Nutrient; Water quality; Phosphorus; Biomass (ecology); Ecosystem; Hydrology (agriculture); Ecology; Biology; Botany; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005275282,0.0006160232,0.0005013288,0.0002940931,0.001003027,0.00104972,0.001059973,0.0006836561,0.0005688697],"category_scores_gemma":[0.0009300923,0.0003252801,0.0005045864,0.0003300791,0.0003488882,0.0003440313,0.0006387919,0.0003878901,0.00004713848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005778277,"about_ca_system_score_gemma":0.00510618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.755613,"about_ca_topic_score_gemma":0.6066408,"domain_scores_codex":[0.9998326,0.000055381,0.000009486118,0.00003983671,0.0000219567,0.00004061634],"domain_scores_gemma":[0.9998017,0.00005683814,0.00001846062,0.000007198591,0.00008322689,0.00003259156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001158609,0.00008152958,0.01429832,0.0000214336,0.00005793975,0.00008571233,0.0000633287,0.9779914,0.002019112,0.0006990478,0.0002396665,0.004326604],"study_design_scores_gemma":[0.00004283522,0.00005017042,0.003847496,0.000003277465,0.00002698144,0.000008748579,0.00004919572,0.9952512,0.0003947786,0.0001395623,0.0001746795,0.00001103204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910266,0.0000621164,0.006254598,0.0002254291,0.0000184736,0.00006367271,0.0001707456,0.00006816565,0.002110199],"genre_scores_gemma":[0.9968251,0.00003578573,0.002489578,0.00001933041,0.000001717391,0.00001678383,0.00005772306,0.000007779285,0.0005462079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.244387,"threshold_uncertainty_score":0.4916525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129303369407994,"score_gpt":0.3746217160659298,"score_spread":0.2616913791251304,"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."}}