{"id":"W2105245948","doi":"10.1126/science.1240578","title":"Distinguishable Epidemics of Multidrug-Resistant <i>Salmonella</i> Typhimurium DT104 in Different Hosts","year":2013,"lang":"en","type":"article","venue":"Science","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":348,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases; European Commission; National Institute of General Medical Sciences; European Molecular Biology Laboratory; Wellcome Trust; University of Glasgow; National Institutes of Health; National Science Foundation","keywords":"Biology; Multiple drug resistance; Salmonella; Antibiotic resistance; Phylogenetic tree; Genome; Transmission (telecommunications); Gene; Genotype; Antimicrobial; Microbiology; Bacteria; Genetics; Drug resistance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004447898,0.0001904769,0.0002460181,0.0008527376,0.0003140377,0.0005261244,0.0002154975,0.0003811326,0.0006204782],"category_scores_gemma":[0.001099898,0.000214561,0.000248055,0.0005029924,0.0003936854,0.0002545228,0.0007816625,0.0005469822,0.0001046646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159609,"about_ca_system_score_gemma":0.000161328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196626,"about_ca_topic_score_gemma":0.002850048,"domain_scores_codex":[0.9996545,0.00008112047,0.00002804957,0.000114012,0.00004145798,0.00008082017],"domain_scores_gemma":[0.9993553,0.0001355089,0.0001951769,0.0001092392,0.00007260117,0.0001323372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0017062,0.0001702875,0.6625728,0.00006504307,0.0001561496,0.0006063979,0.001652807,0.0005241458,0.3188739,0.0004247537,0.0003005397,0.01294691],"study_design_scores_gemma":[0.00001278878,0.0002042002,0.9949991,0.00000805162,0.00003360557,0.0006297525,0.0005436586,0.0002308712,0.002963968,0.00008527852,0.0002772206,0.00001155952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992623,0.00004642154,0.0001860636,0.00001299838,0.000002322374,0.000006366053,0.0001548014,0.000007324473,0.0003215466],"genre_scores_gemma":[0.9988294,0.00006292452,0.0003225715,0.00004168324,0.000003585127,0.000009907874,0.0005854511,0.000007564402,0.0001369421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196626,"threshold_uncertainty_score":0.003909588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132401131946104,"score_gpt":0.2193682682305408,"score_spread":0.2061281550359304,"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."}}