{"id":"W2999438270","doi":"10.1007/s10750-019-04167-z","title":"Assessing the potential health risk of cyanobacteria and cyanotoxins in Lake Naivasha, Kenya","year":2020,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Phytoplankton; Cyanobacteria; Dry season; Environmental science; Biomass (ecology); Wet season; Bloom; Nutrient; Algal bloom; Hydrology (agriculture); Ecology; Biology; Geology","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":[0.000348897,0.0003039183,0.0002164454,0.0005647959,0.0008027347,0.00048551,0.0002217711,0.0004243639,0.0005039025],"category_scores_gemma":[0.0006304084,0.0002227285,0.0001421328,0.0004909713,0.0002836174,0.0005203923,0.0006763964,0.0001969496,0.00006522927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068419,"about_ca_system_score_gemma":0.001059569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03889801,"about_ca_topic_score_gemma":0.1204638,"domain_scores_codex":[0.9997931,0.00004443706,0.0000196993,0.0000301929,0.00006037213,0.00005219045],"domain_scores_gemma":[0.999713,0.00003971152,0.0001420014,0.000005422532,0.00006165163,0.00003821249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000943392,0.00004542851,0.9829092,0.00005483248,0.00002793932,0.0002448971,0.0005074159,0.0003384494,0.01172508,0.00005051149,0.0000478596,0.003954009],"study_design_scores_gemma":[0.00000416639,0.0002043722,0.9947359,0.00001970094,0.00002708688,0.0001213561,0.001670463,0.001103572,0.001597766,0.00007418096,0.0004331546,0.000008169868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993293,0.000104002,0.00006477759,0.00003614184,8.679168e-7,0.00001423826,0.00009088545,0.000001112847,0.0003587083],"genre_scores_gemma":[0.9991872,0.0001457201,0.0003373272,0.00001718589,0.000001268542,0.00001171519,0.00008709546,4.896681e-7,0.0002119841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03889801,"threshold_uncertainty_score":0.07734323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202876481182669,"score_gpt":0.2386998256522186,"score_spread":0.2266710608403919,"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."}}