{"id":"W2965214956","doi":"10.1038/s41396-019-0481-1","title":"Coherence of <i>Microcystis</i> species revealed through population genomics","year":2019,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université de Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Genome Canada","keywords":"Biology; Monophyly; Microcystis; Clade; Evolutionary biology; Population genomics; Population; Microcystin; Microcystis aeruginosa; Paraphyly; Phylogenetics; Genome; Genomics; Genetics; Ecology; Zoology; Gene; Cyanobacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000379101,0.00007909946,0.0001518973,0.000008074328,0.0001035684,0.00002569739,0.0002740078,0.00003652641,0.00195709],"category_scores_gemma":[0.00001040603,0.00005115028,0.00005468785,0.00008047454,0.00004932392,0.0001489649,0.00006996615,0.0001629457,0.000322346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139329,"about_ca_system_score_gemma":0.00001108565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002292933,"about_ca_topic_score_gemma":0.0001042356,"domain_scores_codex":[0.99919,0.00006034216,0.0002996099,0.00008637028,0.0002240279,0.00013966],"domain_scores_gemma":[0.9993843,0.00005641043,0.0003196897,0.0002006466,0.00000874917,0.00003019245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004694037,0.00005149632,0.8826017,0.00003622231,0.00004018812,0.00000524654,0.002387879,0.01929357,0.08383456,0.002105081,0.008020564,0.001576559],"study_design_scores_gemma":[0.0009505545,0.0002115629,0.9344116,0.0001525509,0.00005608593,0.0007885438,0.0007589847,0.006734425,0.003138348,0.02090696,0.03150631,0.000384047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847298,0.0000496691,0.0009858812,0.0001774248,0.0002982749,0.0001458806,0.0000084571,0.000005216716,0.01359944],"genre_scores_gemma":[0.9958031,0.00003588827,0.001277815,0.0001119221,0.00008617655,7.185861e-7,0.000002362563,0.00000774454,0.002674292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08069621,"threshold_uncertainty_score":0.9989552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008034898699021494,"score_gpt":0.2007189870062925,"score_spread":0.192684088307271,"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."}}