{"id":"W2980547146","doi":"10.1128/mra.00974-19","title":"Draft Genome Sequences of 43 Enterococcus faecalis and Enterococcus faecium Isolates from a Commercial Beef Processing Plant and Retail Ground Beef","year":2019,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Enterococcus faecium; Enterococcus faecalis; Beef cattle; Enterococcus; Biology; Meat packing industry; Food science; Microbiology; Food microbiology; Biotechnology; Bacteria; Escherichia coli; Antibiotics; Gene; Animal science; 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":[0.0002675688,0.0003172775,0.0007088978,0.000174598,0.0001445951,0.00007347597,0.000216408,0.0002398198,0.0003487554],"category_scores_gemma":[0.00004063285,0.0002607749,0.00007668449,0.0001230564,0.0004353146,0.0001481097,0.0003192057,0.0003063167,0.00003984561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006850805,"about_ca_system_score_gemma":0.00007278511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005391628,"about_ca_topic_score_gemma":0.00008201151,"domain_scores_codex":[0.9979723,0.0001482074,0.0005098306,0.0006382794,0.000143223,0.0005881528],"domain_scores_gemma":[0.9990024,0.0001459865,0.0002274874,0.000293624,0.0001172207,0.000213313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006146403,0.0001193256,0.4073133,0.0001811284,0.0001224825,0.0000190624,0.001049665,1.458844e-7,0.5893471,0.000001188665,0.0003652655,0.0008666831],"study_design_scores_gemma":[0.01430567,0.005931059,0.4431852,0.001992534,0.0005384443,0.0004828766,0.003965634,0.0001013524,0.02602332,0.00005799831,0.5022523,0.001163601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909232,0.004175601,0.00001631167,0.0005567489,0.00006680027,0.0007066619,0.003225165,0.00003171198,0.0002977771],"genre_scores_gemma":[0.9941555,0.0004327094,0.0001548659,0.001007315,0.0001132946,0.00003799572,0.003757649,0.0000253765,0.0003153014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5633239,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922266126466323,"score_gpt":0.2548102268623335,"score_spread":0.2355875655976703,"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."}}