{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004245605,0.0005772928,0.0005617078,0.002138988,0.0002524744,0.001266102,0.0007236849,0.0006050028,0.00131177],"category_scores_gemma":[0.01023821,0.0003009137,0.0004921197,0.001308194,0.000379834,0.0005945678,0.0006529556,0.0004547865,0.0005349424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009424817,"about_ca_system_score_gemma":0.0007256158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008690105,"about_ca_topic_score_gemma":0.01595509,"domain_scores_codex":[0.9946879,0.001927816,0.0003525862,0.000635527,0.002124933,0.0002712147],"domain_scores_gemma":[0.9927359,0.003716129,0.001013608,0.0005605444,0.00156987,0.0004040492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00601996,0.000768663,0.6883109,0.001256827,0.0009734753,0.0001525438,0.0009229759,0.009220165,0.1843543,0.0006656643,0.001370393,0.105984],"study_design_scores_gemma":[0.0001015383,0.006242263,0.8593057,0.0001166961,0.0006229444,0.001014971,0.0007760992,0.02864004,0.09698516,0.0003132305,0.005768777,0.000112685],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984086,0.001420619,0.008671753,0.0002915761,0.00007933524,0.00008784183,0.00170358,0.0001940877,0.003465286],"genre_scores_gemma":[0.9837682,0.0008277551,0.01125869,0.0001083392,0.00002797862,0.00004132918,0.002811057,0.00003009668,0.001126487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008690105,"threshold_uncertainty_score":0.02245319,"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."}}