{"id":"W2127102113","doi":"10.2807/1560-7917.es2013.18.35.20566","title":"Proof-of-concept study for successful inter-laboratory comparison of MLVA results","year":2013,"lang":"en","type":"article","venue":"Eurosurveillance","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Public Health England; Danmarks Tekniske Universitet; Public Health Agency; Public Health Agency of Canada; Bundesinstitut für Risikobewertung; Robert Koch Institut; Akershus Universitetssykehus; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Queensland Health; National Health Laboratory Service; Statens veterinärmedicinska anstalt; Johns Hopkins University","keywords":"Multiple Loci VNTR Analysis; Typing; Computational biology; Variable number tandem repeat; Computer science; Genetics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005163846,0.0001376073,0.0004716798,0.00001065626,0.00005238075,0.0000138199,0.0003539992,0.0000679358,0.00007260421],"category_scores_gemma":[0.0004877269,0.00005645496,0.00008201732,0.0002512225,0.0001119422,0.00007036311,0.00006766217,0.00007980398,0.00000743484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007579295,"about_ca_system_score_gemma":0.000007049504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649468,"about_ca_topic_score_gemma":0.0002979197,"domain_scores_codex":[0.9983405,0.0003113759,0.0006636642,0.0003282873,0.0001176479,0.000238541],"domain_scores_gemma":[0.9982475,0.0008702709,0.0004267069,0.000123569,0.0002732686,0.00005869114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506585,0.0005158298,0.9077434,0.00001605346,0.00002250574,4.407192e-7,0.0005278645,0.00001671833,0.04813316,0.00001950936,0.005793386,0.03706049],"study_design_scores_gemma":[0.0005191008,0.002114055,0.9632215,0.00001469739,0.000005657034,4.970365e-7,0.000806861,0.0001506151,0.02533614,0.0001148614,0.007547731,0.0001682455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978073,0.0002292298,0.00003457762,0.0003563328,0.000277738,0.0007593499,0.0002056972,0.00003063498,0.0002991288],"genre_scores_gemma":[0.9995261,0.000002388312,0.00006708803,0.00007147741,0.0001364914,0.00004867448,0.00004101341,0.000001465827,0.0001052896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05547816,"threshold_uncertainty_score":0.2302167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04021626771522425,"score_gpt":0.292387891573671,"score_spread":0.2521716238584468,"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."}}