{"id":"W2608487937","doi":"10.1016/j.mimet.2017.04.012","title":"Subtyping of Canadian isolates of Salmonella Enteritidis using Multiple Locus Variable Number Tandem Repeat Analysis (MLVA) alone and in combination with Pulsed-Field Gel Electrophoresis (PFGE) and phage typing","year":2017,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Guelph; University of Alberta; Provincial Laboratory of Public Health","funders":"Alberta Agriculture and Forestry; Public Health Agency of Canada; Alberta Health Services","keywords":"Multiple Loci VNTR Analysis; Subtyping; Pulsed-field gel electrophoresis; Biology; Typing; Variable number tandem repeat; Salmonella enterica; DNA profiling; Serotype; Microbiology; Genetics; Salmonella enteritidis; Salmonella; Virology; Genotype; Bacteria; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005943437,0.0006323339,0.0004613063,0.002836595,0.002342936,0.0007992553,0.000701962,0.0003459796,0.001051548],"category_scores_gemma":[0.001819774,0.0004434063,0.000428288,0.002659954,0.0005842424,0.0002807471,0.0005018294,0.000471514,0.0001863473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01070755,"about_ca_system_score_gemma":0.01554627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9677306,"about_ca_topic_score_gemma":0.9869056,"domain_scores_codex":[0.9989705,0.0000473289,0.00004997174,0.0001649561,0.0005774777,0.0001897275],"domain_scores_gemma":[0.9983917,0.00009325702,0.00011329,0.0000373293,0.001143889,0.0002204815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003727114,0.000609129,0.4922321,0.0005129567,0.0002286354,0.001120129,0.004083836,0.001837836,0.4149739,0.0003823377,0.0024126,0.07787932],"study_design_scores_gemma":[0.00003994133,0.0004903223,0.960636,0.00002192015,0.0001170459,0.0005851043,0.001607308,0.001510302,0.02899681,0.00003240478,0.005911728,0.00005108578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99549,0.0003193074,0.0006723062,0.00008316296,0.00001750858,0.00007005676,0.001054984,0.00002626507,0.002266416],"genre_scores_gemma":[0.990629,0.0004621858,0.00452247,0.00006091655,0.000005393344,0.00002478791,0.001427027,0.0000176364,0.002850492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03226942,"threshold_uncertainty_score":0.07768911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372837026360625,"score_gpt":0.2990149488645205,"score_spread":0.2652865786009142,"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."}}