{"id":"W2128519096","doi":"10.1089/mdr.2012.0177","title":"Antimicrobial Resistance Genes in Multidrug-Resistant <i>Salmonella enterica</i> Isolated from Animals, Retail Meats, and Humans in the United States and Canada","year":2013,"lang":"en","type":"article","venue":"Microbial Drug Resistance","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"U.S. Food and Drug Administration; Public Health Agency of Canada; Institut National Du Cancer; National Institutes of Health; Centers for Disease Control and Prevention; U.S. Department of Agriculture","keywords":"Plasmid; Biology; Multiple drug resistance; Salmonella enterica; Salmonella; Microbiology; Antibiotic resistance; Tetracycline; Mobile genetic elements; Gene; Antimicrobial; Drug resistance; Genetics; Antibiotics; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001326362,0.0001983657,0.0002584641,0.0009863559,0.001102035,0.0006822607,0.000242149,0.0002169373,0.0008444593],"category_scores_gemma":[0.000506429,0.0002023792,0.0002700898,0.001472897,0.0003350111,0.00009218753,0.0002801891,0.0002754432,0.0001175541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004604504,"about_ca_system_score_gemma":0.004494864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8966894,"about_ca_topic_score_gemma":0.9384562,"domain_scores_codex":[0.9996485,0.00001439888,0.00002368763,0.00008725159,0.000116153,0.0001099533],"domain_scores_gemma":[0.9995177,0.00002989549,0.00005876107,0.00001314141,0.000262846,0.0001176772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007752612,0.0000872688,0.8900617,0.0001432234,0.0001119823,0.000790542,0.002073364,0.0002632798,0.08810276,0.0001759999,0.00145755,0.01595714],"study_design_scores_gemma":[0.000009437734,0.00006092771,0.9920462,0.00002221317,0.00004435858,0.0004314939,0.001444295,0.0002209666,0.00359341,0.00001737614,0.002097937,0.00001134482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996383,0.0003611288,0.0001106736,0.00008309202,0.000006632882,0.00002724546,0.001752642,0.000006700363,0.001268888],"genre_scores_gemma":[0.9955041,0.0004318943,0.0006561978,0.0001482844,0.000003526397,0.00001281293,0.002212947,0.000005503892,0.001024778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033106,"threshold_uncertainty_score":0.2078381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042722602226569,"score_gpt":0.188202840855827,"score_spread":0.1777756148335613,"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."}}