{"id":"W2108152976","doi":"10.1111/fwb.12205","title":"Strong spatial differentiation of <scp>N</scp> and <scp>P</scp> deficiency, primary productivity and community composition between <scp>N</scp>yanza <scp>G</scp>ulf and <scp>L</scp>ake <scp>V</scp>ictoria (<scp>K</scp>enya, <scp>E</scp>ast <scp>A</scp>frica) and the implications for nutrient management","year":2013,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Government of the Republic of Kenya","keywords":"Phytoplankton; Photic zone; Cyanobacteria; Productivity; Nutrient; Plankton; Biomass (ecology); Primary producers; Oceanography; Ecology; Prochlorococcus; Environmental science; Algal bloom; Algae; Biology; Synechococcus; Bacteria; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.005738229,0.003388893,0.004133807,0.001296812,0.005271631,0.001375617,0.003569953,0.00236583,0.00002787147],"category_scores_gemma":[0.007604113,0.002911894,0.0009909659,0.00203843,0.005120113,0.002403501,0.005985402,0.003101719,0.0003461813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235413,"about_ca_system_score_gemma":0.000262831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006674913,"about_ca_topic_score_gemma":0.004898451,"domain_scores_codex":[0.9798783,0.00400943,0.003970103,0.004939186,0.002223736,0.004979231],"domain_scores_gemma":[0.9656702,0.02360509,0.004036607,0.00386933,0.00083844,0.001980313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003430127,0.004129714,0.7457442,0.002299115,0.002169659,0.00003905924,0.03142492,0.0002590856,0.04901846,0.003009491,0.1595433,0.00232877],"study_design_scores_gemma":[0.01151783,0.003516285,0.7390137,0.0005284271,0.002558143,0.0002691266,0.02779095,0.003055734,0.0204205,0.008813819,0.182102,0.0004134496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624503,0.00274633,0.009098262,0.0003650063,0.001781942,0.01000755,0.005432115,0.0005897714,0.007528757],"genre_scores_gemma":[0.9804261,0.001844533,0.003298296,0.0004976869,0.001355864,0.001513923,0.004689754,0.0003711005,0.00600278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02859796,"threshold_uncertainty_score":0.9999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163338251684467,"score_gpt":0.2155699618858234,"score_spread":0.1992361367173767,"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."}}