{"id":"W4408000496","doi":"10.21203/rs.3.rs-5922137/v1","title":"Genomic epidemiology of dominant lineages of Streptococcus pyogenes emm types between 1993-2020, in China","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Streptococcus pyogenes; China; Biology; Epidemiology; Genetics; Molecular epidemiology; Evolutionary biology; Gene; Computational biology; Genotype; Geography; Medicine; Bacteria","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":[0.0003805705,0.0002631246,0.0002161348,0.001571662,0.0003664004,0.0003746274,0.0003035815,0.0002550993,0.001147383],"category_scores_gemma":[0.000610826,0.0002297449,0.000371689,0.002264175,0.0002094717,0.0001892168,0.0003767406,0.0002121617,0.0001190932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338721,"about_ca_system_score_gemma":0.002116644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1441352,"about_ca_topic_score_gemma":0.1436176,"domain_scores_codex":[0.9996818,0.00003823864,0.00003032294,0.0000797678,0.00006875175,0.0001011392],"domain_scores_gemma":[0.9995549,0.00003922508,0.0001328027,0.00002315578,0.0001229007,0.0001269093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293658,0.00001470849,0.993113,0.00002151578,0.0000514206,0.0001791937,0.0003438818,0.000159357,0.001909425,0.0001014258,0.0002834281,0.003693146],"study_design_scores_gemma":[0.000001123281,0.0000121563,0.999527,0.000002066936,0.000007456835,0.00003404924,0.0001018625,0.00005882093,0.00003739364,0.000005818864,0.0002114211,9.020546e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977158,0.0002333266,0.00008801511,0.00007550246,0.000004125187,0.000009683549,0.001442698,0.000003222075,0.0004276319],"genre_scores_gemma":[0.9976313,0.0001372304,0.00007461288,0.00003114649,0.000004149449,0.000007750181,0.001366431,0.000001349974,0.0007460662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1441352,"threshold_uncertainty_score":0.2865924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044696667988848,"score_gpt":0.4668963581762917,"score_spread":0.3624266913774069,"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."}}