{"id":"W3216781400","doi":"10.3389/fmicb.2021.667356","title":"Comparative Genomics Analyses Support the Reclassification of Bisgaard Taxon 40 as Mergibacter gen. nov., With Mergibacter septicus sp. nov. as Type Species: Novel Insights Into the Phylogeny and Virulence Factors of a Pasteurellaceae Family Member Associated With Mortality Events in Seabirds","year":2021,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Food and Drug Administration; U.S. Geological Survey; Università degli Studi di Milano; U.S. Department of Defense","keywords":"Biology; Phylogenetic tree; Genetics; Phylogenetics; Comparative genomics; Genome; Taxon; Evolutionary biology; Phylogenomics; Genomics; Gene; Clade; Ecology","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":[0.0002026035,0.0006919836,0.0003311943,0.0007742223,0.0004938968,0.0004828203,0.0002294069,0.000452403,0.0009772666],"category_scores_gemma":[0.0003702376,0.0001308275,0.0005381674,0.0008941435,0.0002597747,0.0003797473,0.0004412109,0.0004303441,0.0004336999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803729,"about_ca_system_score_gemma":0.0004404685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256907,"about_ca_topic_score_gemma":0.006653248,"domain_scores_codex":[0.9998268,0.0000125124,0.0000169827,0.0000658501,0.00003766506,0.00004019543],"domain_scores_gemma":[0.9997099,0.00004121228,0.0001018363,0.0000233261,0.00006222583,0.00006147331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005916794,0.0001329889,0.1083692,0.0002859534,0.00009916876,0.0009838126,0.00137873,0.0002932519,0.8710531,0.0003207886,0.0004260729,0.01606533],"study_design_scores_gemma":[0.00002026093,0.0004442437,0.9664217,0.00009236867,0.0001445511,0.002628919,0.001704001,0.001583911,0.01745565,0.0003692524,0.009104246,0.0000309636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954631,0.000492412,0.001163655,0.00008821517,0.00003405996,0.00004452868,0.00152105,0.00003200388,0.001160972],"genre_scores_gemma":[0.9882896,0.0004767045,0.005282937,0.0002734387,0.00002228631,0.00005698677,0.004677917,0.00002453175,0.0008955625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004256907,"threshold_uncertainty_score":0.008464277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727445149601864,"score_gpt":0.3109453026136635,"score_spread":0.2536708511176449,"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."}}