{"id":"W1607652717","doi":"10.3390/life5021346","title":"Toxic Cyanobacterial Bloom Triggers in Missisquoi Bay, Lake Champlain, as Determined by Next-Generation Sequencing and Quantitative PCR","year":2015,"lang":"en","type":"article","venue":"Life","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; Institut National de Santé Publique du Québec; Université du Québec à Montréal; National Research Council Canada","funders":"Directorate for Biological Sciences; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Research Council Canada; Université du Québec à Montréal","keywords":"Microcystis; Biology; Eutrophication; Microcystin; Botany; Bay; Nutrient; Phytoplankton; Algal bloom; Bloom; 16S ribosomal RNA; Cyanobacteria; Dominance (genetics); Ecology; Bacteria; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003890842,0.0001356416,0.0001942542,0.0000287378,0.00007122978,0.00006983021,0.00009208383,0.00008584024,0.0002693792],"category_scores_gemma":[0.0002003297,0.000126086,0.0000212648,0.000118435,0.00005474049,0.0002740884,0.00004927629,0.00007676119,0.0001153352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139121,"about_ca_system_score_gemma":0.00004978792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102977,"about_ca_topic_score_gemma":0.01288489,"domain_scores_codex":[0.998942,0.0001068903,0.000277067,0.0002665212,0.0002004642,0.0002070372],"domain_scores_gemma":[0.9994711,0.00006683211,0.0001076206,0.000132204,0.000006988411,0.00021527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005723881,0.000313122,0.3329754,0.0001160369,0.00009055329,0.0001489617,0.02618548,0.004650532,0.6052482,0.00157856,0.01942645,0.008694299],"study_design_scores_gemma":[0.01047217,0.001925949,0.02459876,0.000241692,0.00009374332,0.0001651764,0.0064712,0.8522988,0.02070221,0.002079364,0.07847979,0.002471166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971232,0.00005713709,0.0003310118,0.0001568092,0.0002517102,0.0002220476,0.00003048721,0.00001865909,0.001808893],"genre_scores_gemma":[0.9983079,0.00001412609,0.000787673,0.0003085928,0.0000896501,0.00001637583,0.00006174834,0.0000123488,0.0004016214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8476483,"threshold_uncertainty_score":0.7190073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06359435310854557,"score_gpt":0.2559612819011691,"score_spread":0.1923669287926235,"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."}}