{"id":"W1974043297","doi":"10.1128/jcm.01601-14","title":"Multilocus Sequence Typing of Mycobacterium xenopi","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital; Public Health Ontario; Institut National de Santé Publique du Québec; Ministry of Health; Saskatchewan Disease Control Laboratory; Toronto Public Health","funders":"","keywords":"Multilocus sequence typing; Genotyping; Typing; Biology; Molecular epidemiology; Microbiology; Virology; Genotype; Genetics; Gene","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":[0.001150661,0.0002777533,0.0003264374,0.0008214391,0.0001985076,0.0006189951,0.0003063383,0.0003212279,0.0003789027],"category_scores_gemma":[0.002421048,0.00009035222,0.0002192461,0.000510867,0.0002118058,0.000311805,0.0004760533,0.0004076296,0.0002947825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215024,"about_ca_system_score_gemma":0.000375014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303234,"about_ca_topic_score_gemma":0.001254893,"domain_scores_codex":[0.9986776,0.0003551306,0.0001798403,0.0001998013,0.0004642662,0.0001232574],"domain_scores_gemma":[0.9986991,0.0004068604,0.0002541427,0.0000866441,0.0004233012,0.0001298263],"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":[0.0005321507,0.0003215282,0.06819072,0.000255579,0.00005205204,0.001018168,0.0004807049,0.0007683507,0.8866622,0.0004107376,0.0003136813,0.04099413],"study_design_scores_gemma":[0.0001115809,0.004201942,0.2103699,0.0001603636,0.0003654704,0.006349335,0.001045468,0.00535227,0.7570851,0.0004865052,0.01440435,0.00006776299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807363,0.001821497,0.01426795,0.0002772313,0.00009012391,0.0002309757,0.0007937851,0.00005171952,0.001730422],"genre_scores_gemma":[0.9719906,0.0009386095,0.02490552,0.000154476,0.00005861402,0.00006718963,0.001190417,0.00002265198,0.0006719484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001303234,"threshold_uncertainty_score":0.006085396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08883186274130983,"score_gpt":0.4226074877456467,"score_spread":0.3337756250043368,"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."}}