{"id":"W2466698978","doi":"10.1371/journal.pone.0158515","title":"Detection of Rare Antimicrobial Resistance Profiles by Active and Passive Surveillance Approaches","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"FP7 People: Marie-Curie Actions; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; University of Glasgow; National Science Foundation","keywords":"Antibiotic resistance; Salmonella; Phenotype; Resistance (ecology); Biology; Epidemiological surveillance; Salmonella enterica; Public health surveillance; Drug resistance; Medicine; Microbiology; Public health; Genetics; Epidemiology; Antibiotics; Ecology; Pathology; Bacteria","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":[0.00258787,0.0007679862,0.0007980361,0.00280851,0.0003668122,0.00159985,0.0008766806,0.000791627,0.00101966],"category_scores_gemma":[0.003928376,0.0004154651,0.0005677668,0.001559813,0.0006313535,0.001006467,0.001343978,0.0006364605,0.0004511878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260642,"about_ca_system_score_gemma":0.0003051606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085564,"about_ca_topic_score_gemma":0.002065276,"domain_scores_codex":[0.9964036,0.0007873969,0.0003394312,0.001199531,0.00103543,0.0002345912],"domain_scores_gemma":[0.9954418,0.001386327,0.001262786,0.0005998703,0.001141621,0.0001675561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001049449,0.0004863216,0.1818622,0.0009267878,0.0002194855,0.0001770135,0.001329563,0.000790688,0.7281491,0.0008517824,0.0004101075,0.08374743],"study_design_scores_gemma":[0.0000375664,0.003806224,0.3737508,0.0002235736,0.0006967521,0.0024832,0.001840269,0.01879267,0.5857014,0.001489675,0.01102405,0.0001538354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914538,0.00160114,0.09812844,0.0001164161,0.00006037563,0.0004516683,0.002193924,0.0003481598,0.005645989],"genre_scores_gemma":[0.9293909,0.001130346,0.06348669,0.0001215212,0.00004791148,0.0003626184,0.003227431,0.00006222093,0.002170447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00280851,"threshold_uncertainty_score":0.01368612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770620022087418,"score_gpt":0.2148637644374294,"score_spread":0.1771575642165552,"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."}}