{"id":"W3002914797","doi":"10.3390/pathogens9020081","title":"Tools for Molecular Epidemiology of Streptococcus suis","year":2020,"lang":"en","type":"review","venue":"Pathogens","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Université de Montréal; Toronto Public Health","funders":"Kasetsart University Research and Development Institute; Kasetsart University","keywords":"Streptococcus suis; Multilocus sequence typing; Biology; Whole genome sequencing; Disease; Phylogenetic tree; Outbreak; Molecular epidemiology; Identification (biology); Molecular diagnostics; Typing; Genetics; Population; Computational biology; Genome; Microbiology; Genotype; Virology; Gene; Medicine; Virulence; Environmental health; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001690015,0.0003473358,0.002776145,0.000121135,0.00003274708,0.000003389411,0.00008609188,0.0003349367,0.000139572],"category_scores_gemma":[0.001689891,0.0002557815,0.001504737,0.000243819,0.00006012395,0.00001923577,0.0000476739,0.0001843781,0.00006520889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008886452,"about_ca_system_score_gemma":0.0002462309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009629389,"about_ca_topic_score_gemma":9.335455e-7,"domain_scores_codex":[0.9982318,0.0001403905,0.0007976131,0.0004655592,0.00007507823,0.0002895712],"domain_scores_gemma":[0.9977739,0.001065799,0.0004088983,0.0004578246,0.0001053892,0.0001882072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000958976,0.0001338121,0.002741402,0.008584716,0.0009082228,0.00008391282,0.000006957307,2.796995e-7,0.00001010685,0.0008271459,0.0001495638,0.9865443],"study_design_scores_gemma":[0.0004865821,0.0005819928,0.0002611179,0.00285353,0.004036024,0.00006640807,0.000005513307,0.000005370683,0.00002300738,0.0001306035,0.9913736,0.0001762292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003597379,0.9931621,0.001028954,0.00003861452,0.0001493555,0.003658486,0.001048155,0.00004797159,0.0008304168],"genre_scores_gemma":[0.00005342091,0.9942536,0.002788705,0.0000651849,0.0001632171,0.001613998,0.0008556958,0.00006343557,0.0001427653],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9912241,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1943648884204805,"score_gpt":0.4366489051719627,"score_spread":0.2422840167514822,"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."}}