{"id":"W2070808152","doi":"10.1039/c0em00163e","title":"Use of in vivophycocyanin fluorescence to monitor potential microcystin-producing cyanobacterial biovolume in a drinkingwater source","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Monitoring","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Directorate for Biological Sciences","keywords":"Phycocyanin; Microcystin; Cyanobacteria; Microcystis; Phytoplankton; Environmental chemistry; Algal bloom; Biology; Microcystis aeruginosa; Spirulina (dietary supplement); Algae; Botany; Environmental science; Chemistry; Nutrient; Ecology; Bacteria; Raw material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001227823,0.000219789,0.000189587,0.0002765426,0.0001742992,0.0002418223,0.0001436838,0.0002708409,0.0002383825],"category_scores_gemma":[0.0003002503,0.0001435243,0.00008978981,0.0001801075,0.0001790059,0.0002039284,0.000203556,0.0002703322,0.00007362342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029531,"about_ca_system_score_gemma":0.0001638036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878051,"about_ca_topic_score_gemma":0.003469909,"domain_scores_codex":[0.9998902,0.00001883357,0.000004370577,0.00003703741,0.00003921018,0.00001025131],"domain_scores_gemma":[0.999856,0.00004761208,0.00003266004,0.000008944994,0.00003464516,0.00002011271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008037995,0.00002830366,0.01890072,0.00001972627,0.000006554183,0.00001508205,0.00005591249,0.0001637911,0.9767322,0.0000122016,0.00001340763,0.003971741],"study_design_scores_gemma":[0.000009445892,0.0004437718,0.1273782,0.000003719535,0.0000211329,0.0001267295,0.00007527242,0.005112631,0.8664531,0.00004811135,0.0003155296,0.00001237142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951484,0.00007000713,0.004292489,0.00001689855,0.000002583047,0.00001567711,0.0001233862,0.00004241792,0.0002881543],"genre_scores_gemma":[0.9926713,0.00009282063,0.006587705,0.00001992383,0.000001894154,0.00002164816,0.0001617111,0.000007409221,0.0004356583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001878051,"threshold_uncertainty_score":0.003734171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007551031449348239,"score_gpt":0.2038732890898481,"score_spread":0.1963222576404999,"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."}}