{"id":"W2097961353","doi":"10.1128/jcm.02252-06","title":"Development of Multiple-Locus Variable-Number Tandem-Repeat Analysis for <i>Yersinia enterocolitica</i> subsp. <i>palearctica</i> and Its Application to Bioserogroup 4/O3 Subtyping","year":2007,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Multiple Loci VNTR Analysis; Yersinia enterocolitica; Subtyping; Variable number tandem repeat; Biology; Genotyping; Genotype; Yersinia Infections; Tandem repeat; Minisatellite; Genetics; Locus (genetics); Ribotyping; Microbiology; Microsatellite; Escherichia coli; Enterobacteriaceae; Genome; Bacteria; Allele","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030678,0.0003378697,0.0002358251,0.0008777317,0.0001585308,0.0003822753,0.0002422541,0.0003551898,0.0005313994],"category_scores_gemma":[0.001342315,0.0001996688,0.0002807404,0.0004191301,0.0002512218,0.0002674833,0.0002553684,0.0003195739,0.000205786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548099,"about_ca_system_score_gemma":0.0002912037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007733603,"about_ca_topic_score_gemma":0.001310773,"domain_scores_codex":[0.9995077,0.0001805149,0.00003768289,0.0001506482,0.0000799921,0.00004352555],"domain_scores_gemma":[0.9992433,0.0003306286,0.0001556441,0.00006482497,0.0001346042,0.00007106009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004767254,0.0001328517,0.06639235,0.0001327153,0.0000971468,0.0001675587,0.00009417353,0.001006943,0.8645017,0.0002440305,0.00009941094,0.06665437],"study_design_scores_gemma":[0.00007441805,0.00123038,0.2539094,0.00005665046,0.000186577,0.002264462,0.0001793397,0.01513271,0.7222415,0.0004087078,0.004267764,0.00004808389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272212,0.001563111,0.06898087,0.000120307,0.00002928119,0.0000922066,0.0006247772,0.0001682799,0.001199979],"genre_scores_gemma":[0.8787459,0.0005846983,0.1194003,0.00004434229,0.00001017816,0.00006871643,0.0006579878,0.0000283821,0.0004594727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001030678,"threshold_uncertainty_score":0.005450845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305333882186812,"score_gpt":0.370585017423899,"score_spread":0.3400516292052179,"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."}}