{"id":"W3010340539","doi":"10.1038/s41598-020-61002-5","title":"Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":259,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary; Public Health Agency of Canada; Alberta Health Services; Canadian Food Inspection Agency; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"Beef Cattle Research Council; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Enterococcus faecium; Enterococcus hirae; Enterococcus; Biology; Antibiotic resistance; Enterococcus faecalis; Feedlot; Microbiology; Antimicrobial; Veterinary medicine; Drug resistance; Bacteria; Antibiotics; Staphylococcus aureus; Medicine; Ecology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001480716,0.0002565234,0.0009039444,0.00007140979,0.0006505162,0.000128375,0.0001951392,0.00009146884,0.00009034291],"category_scores_gemma":[0.0007325021,0.0002509092,0.0001813817,0.0005553807,0.001290688,0.0001483903,0.000573754,0.0002273652,0.00001300305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009703,"about_ca_system_score_gemma":0.0002165952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000667593,"about_ca_topic_score_gemma":0.0008129688,"domain_scores_codex":[0.9965206,0.00009502069,0.000988283,0.001119395,0.0006673335,0.000609334],"domain_scores_gemma":[0.9973328,0.00007556368,0.0009834868,0.0007693026,0.0004296878,0.0004091305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004646453,0.0001356582,0.6682674,0.001182531,0.00005730162,0.0004625432,0.002349641,6.116888e-7,0.2082097,0.00002730143,0.1186632,0.0001795105],"study_design_scores_gemma":[0.00116499,0.0001589498,0.9105434,0.0008067586,0.00003961177,0.0001012614,0.000409772,0.000003302932,0.03991935,0.0002258899,0.04624432,0.0003823687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919909,0.0006465723,0.0004528185,0.003540898,0.001222435,0.0008164753,0.0001793807,0.00008861513,0.001061872],"genre_scores_gemma":[0.9936652,0.00005536909,0.0009626289,0.0003901578,0.0001261866,0.000003335121,0.00006352647,0.00002315489,0.004710504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2422761,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241204443024718,"score_gpt":0.2796664074555064,"score_spread":0.2472543630252592,"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."}}