{"id":"W2156988296","doi":"10.1128/aem.00759-13","title":"Subtyping of a Large Collection of Historical Listeria monocytogenes Strains from Ontario, Canada, by an Improved Multilocus Variable-Number Tandem-Repeat Analysis (MLVA)","year":2013,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Public Health Agency of Canada; Ministry of the Environment, Conservation and Parks; Health Canada; Ministry of Agriculture, Food and Rural Affairs; Public Health Ontario; University of Guelph","funders":"","keywords":"Multiple Loci VNTR Analysis; Subtyping; Variable number tandem repeat; Biology; Pulsed-field gel electrophoresis; Typing; Listeria monocytogenes; DNA profiling; Tandem repeat; Genetics; Microbiology; Genotype; Bacteria; Genome; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002715359,0.0004600581,0.0002842246,0.001331095,0.001369997,0.000574924,0.0004029236,0.0001963075,0.0004116222],"category_scores_gemma":[0.001064903,0.0002394037,0.0002436462,0.002078461,0.0004890703,0.0001828479,0.0004412411,0.0002439477,0.0001157308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005533713,"about_ca_system_score_gemma":0.00617205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.870066,"about_ca_topic_score_gemma":0.9207013,"domain_scores_codex":[0.9995342,0.00002236212,0.00002139657,0.00009472779,0.0002384083,0.00008881023],"domain_scores_gemma":[0.9990663,0.0000771167,0.0001748536,0.00005376277,0.000515957,0.0001120394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006284641,0.0001276151,0.8339248,0.0002162528,0.000108231,0.0009913181,0.004351038,0.00115987,0.1169661,0.00009826876,0.001059745,0.04036831],"study_design_scores_gemma":[0.000007472275,0.0001248504,0.992496,0.0000151802,0.00003275114,0.0002981347,0.0006416152,0.0004537107,0.003410503,0.0000104121,0.00249903,0.00001033149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972534,0.0002672893,0.0006422331,0.00002571197,0.000003520842,0.00006578228,0.00120249,0.00001198016,0.0005276118],"genre_scores_gemma":[0.9908643,0.0004953329,0.00314001,0.00006090766,0.000006043676,0.00005329816,0.00421629,0.000013856,0.00114987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129934,"threshold_uncertainty_score":0.2613984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110325432547008,"score_gpt":0.2130320511532419,"score_spread":0.2019995078985412,"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."}}