{"id":"W2914377907","doi":"10.2166/ws.2019.017","title":"Spatial variability and temporal dynamics of cyanobacteria blooms and water quality parameters in Missisquoi Bay (Lake Champlain)","year":2019,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eutrophication; Bloom; Environmental science; Cyanobacteria; Turbidity; Algal bloom; Bay; Phosphorus; Oceanography; Ecology; Nutrient; Hydrology (agriculture); Phytoplankton; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002313042,0.0002877153,0.000508011,0.0002903194,0.0001516047,0.00007346275,0.0006209663,0.0002758953,0.0005091311],"category_scores_gemma":[0.00002763195,0.0001645654,0.0000396183,0.0002747167,0.00200965,0.0004751997,0.001053,0.0002551149,0.00009195905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403554,"about_ca_system_score_gemma":0.00001660332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666605,"about_ca_topic_score_gemma":0.008521589,"domain_scores_codex":[0.9970819,0.000113728,0.0006598161,0.0009280797,0.0003599952,0.0008564627],"domain_scores_gemma":[0.9989979,0.00003363657,0.00008723811,0.000726604,0.00002389568,0.0001306898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002736968,0.00005722757,0.9208772,0.0000468914,0.000005019442,0.000005585205,0.001439076,0.00004363176,0.07617569,0.0002080342,0.000001071229,0.001113189],"study_design_scores_gemma":[0.001879422,0.0006086015,0.4299825,0.0000821463,0.00002814969,0.0001512173,0.0006386922,0.03050793,0.5167195,0.01681561,0.001470112,0.00111614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968796,0.000002611567,0.0005652017,0.00144725,0.0002421957,0.0005387599,0.00004311439,0.00005386949,0.0002273385],"genre_scores_gemma":[0.9979226,0.000003251883,0.001783331,0.00004704856,0.000005699236,0.00002635061,0.00005898286,0.00001436391,0.0001383562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4908947,"threshold_uncertainty_score":0.7404642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005062233495289553,"score_gpt":0.2062442102099351,"score_spread":0.2011819767146456,"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."}}