{"id":"W2174639998","doi":"10.1371/journal.pone.0137760","title":"Complex Population Structure and Virulence Differences among Serotype 2 Streptococcus suis Strains Belonging to Sequence Type 28","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; McGill University and Génome Québec Innovation Centre; Public Health Ontario","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; University of Toronto; Génome Québec; U.S. Department of Agriculture","keywords":"Virulence; Biology; Streptococcus suis; Multilocus sequence typing; Serotype; Phylogenetic tree; Clade; Genetics; Population; Genome; Phylogenetics; Whole genome sequencing; Strain (injury); Genotype; Virology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.00004185665,0.0001523317,0.0002605903,0.00009510892,0.00009431435,0.00003960279,0.00004853842,0.00007134306,0.0002303748],"category_scores_gemma":[0.0001247444,0.000125777,0.00002007282,0.0002221483,0.00005357341,0.0001176667,0.00004142059,0.000118918,0.00002239687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009459509,"about_ca_system_score_gemma":0.00003532047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008831414,"about_ca_topic_score_gemma":0.0004583666,"domain_scores_codex":[0.9990682,0.00002541864,0.0001651235,0.0002789378,0.0002611794,0.0002011514],"domain_scores_gemma":[0.9992524,0.00002302275,0.00005557747,0.0002098068,0.0001715073,0.0002876528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000282583,0.000214815,0.9861425,0.00003742102,0.0001237079,0.00001047777,0.0002130065,0.00000888967,0.01202428,0.0000657549,0.00002188041,0.001109033],"study_design_scores_gemma":[0.0005107307,0.0005246677,0.9948524,0.0002094051,0.0001441046,0.000005960409,0.00006483692,0.0007267484,0.002502675,0.0003298305,0.000004775917,0.0001238775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985602,0.00003136128,0.00002097774,0.0001677795,0.00004103602,0.0007659915,0.00004519764,0.00008775429,0.0002796671],"genre_scores_gemma":[0.9975845,0.000009382747,0.001931647,0.00007078342,0.00008030504,0.00002066309,0.00009768216,0.00001474605,0.0001902789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009521609,"threshold_uncertainty_score":0.5129036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1485131290050396,"score_gpt":0.3165964912189871,"score_spread":0.1680833622139475,"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."}}