{"id":"W2082474311","doi":"10.1371/journal.pntd.0000120","title":"Sequence-Based Typing of Leptospira: Epidemiology in the Genomic Era","year":2007,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Leptospirosis research and findings","field":"Immunology and Microbiology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatchewan Health; Saskatchewan Disease Control Laboratory","funders":"","keywords":"Typing; Multilocus sequence typing; Leptospira; Computational biology; Biology; Sequence (biology); Genetics; Epidemiology; Whole genome sequencing; Evolutionary biology; Genome; Virology; Medicine; Genotype; Leptospirosis; Gene; Pathology","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":[0.001103932,0.0002586813,0.0003851266,0.002120404,0.0001850859,0.0008973911,0.0003082957,0.0004671897,0.001084376],"category_scores_gemma":[0.003531835,0.000108759,0.0001640307,0.001801678,0.0004641358,0.0005304711,0.0003052893,0.0004163133,0.0003320384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984347,"about_ca_system_score_gemma":0.0004237957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003607531,"about_ca_topic_score_gemma":0.002668595,"domain_scores_codex":[0.9991409,0.0003813394,0.00007014583,0.0001157202,0.000218228,0.00007373781],"domain_scores_gemma":[0.9978681,0.0006003377,0.0005830781,0.00011336,0.0005479116,0.0002871998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001441636,0.0001899439,0.4645416,0.0008272061,0.0001339595,0.0007143057,0.001157876,0.00109426,0.3288424,0.002206851,0.001756045,0.1970939],"study_design_scores_gemma":[0.0000688013,0.001260329,0.9291433,0.0003678789,0.0003666225,0.005823866,0.001662991,0.003266459,0.03888557,0.003197172,0.01590262,0.0000543242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726105,0.008842986,0.01129875,0.001310699,0.0001334375,0.00004678319,0.001786418,0.00008123084,0.003889276],"genre_scores_gemma":[0.9906858,0.002414029,0.005115487,0.0003494267,0.0001150878,0.00001207343,0.0007671555,0.00001435768,0.0005265846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003607531,"threshold_uncertainty_score":0.007173061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302196908279414,"score_gpt":0.3029458751554822,"score_spread":0.249923906072688,"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."}}