{"id":"W3158822542","doi":"10.3390/microorganisms9050955","title":"Comparison of Molecular and In Silico Salmonella Serotyping for Salmonella Surveillance","year":2021,"lang":"en","type":"article","venue":"Microorganisms","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Provincial Laboratory of Public Health; University of Alberta","funders":"","keywords":"Salmonella; Serotype; In silico; Biology; Microarray; Typing; DNA microarray; DNA sequencing; Outbreak; Whole genome sequencing; Genome; Multilocus sequence typing; Computational biology; Microbiology; Virology; Genetics; DNA; Gene; Bacteria; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002905974,0.0001420934,0.0004428707,0.00001219424,0.0000549524,0.00001870376,0.0001363007,0.0001420061,0.00006243098],"category_scores_gemma":[0.0001209426,0.00007381191,0.00007159999,0.0002550728,0.000064827,0.00002772421,0.00008510697,0.00009054087,0.000004802226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001583807,"about_ca_system_score_gemma":0.00001136121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008494208,"about_ca_topic_score_gemma":0.0004853578,"domain_scores_codex":[0.9987545,0.0001437113,0.0003789915,0.000366078,0.00006734638,0.0002893793],"domain_scores_gemma":[0.9992618,0.0004075911,0.0001147827,0.00007625021,0.00007818479,0.00006142394],"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":[0.00002393256,0.00005490725,0.2588063,0.00001560237,0.000007237799,0.000004618736,0.0000665121,0.000008724462,0.7370648,0.00007560835,0.00007506925,0.003796603],"study_design_scores_gemma":[0.0002086982,0.00008303311,0.3481261,0.00001747883,0.000005308409,0.00001599534,0.0003315089,0.00005529126,0.6488643,0.0007325726,0.001410332,0.0001493601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961293,0.002673402,0.00007059584,0.0006936311,0.00008223161,0.0001755172,0.00003063969,0.00002156244,0.0001231197],"genre_scores_gemma":[0.9988974,0.00006704644,0.0006044896,0.0002556719,0.00004536122,0.000008529646,0.00006559542,0.000002344126,0.0000535267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08931983,"threshold_uncertainty_score":0.3009962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274921958287655,"score_gpt":0.2824057672334303,"score_spread":0.2549135714046648,"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."}}