{"id":"W3207983804","doi":"10.1016/j.jgar.2021.10.006","title":"Draft genome sequence of Staphylococcus agnetis 4244, a strain with gene clusters encoding distinct post-translationally modified antimicrobial peptides","year":2021,"lang":"en","type":"article","venue":"Journal of Global Antimicrobial Resistance","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Federal do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Norges Miljø- og Biovitenskapelige Universitet; University of Alberta","keywords":"Biology; Genome; Staphylococcus aureus; Microbiology; Whole genome sequencing; Gene; Bacteriocin; Antibiotic resistance; Genetics; Antimicrobial; Antibiotics; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006368234,0.001443604,0.001504616,0.002200296,0.0008519142,0.001196274,0.0007309369,0.00125771,0.004462516],"category_scores_gemma":[0.001481316,0.0005730259,0.001655351,0.00305859,0.0002625786,0.0006107934,0.0007028301,0.001440446,0.00380728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006197371,"about_ca_system_score_gemma":0.002231481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004596213,"about_ca_topic_score_gemma":0.003639644,"domain_scores_codex":[0.9994399,0.00006492175,0.000063985,0.0001716395,0.0001969045,0.00006266179],"domain_scores_gemma":[0.9990631,0.000200993,0.0002275634,0.00007942884,0.000317725,0.0001111725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00208352,0.0002503262,0.005749103,0.004603159,0.0002397917,0.001586814,0.0006553236,0.00230756,0.9289142,0.0004892452,0.00952071,0.04360026],"study_design_scores_gemma":[0.0009993052,0.004004119,0.1885762,0.001608362,0.003336202,0.008857156,0.001951679,0.01750368,0.3459572,0.002831836,0.4238411,0.0005330882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4510006,0.01209899,0.06037036,0.001827236,0.001135161,0.001102614,0.4581248,0.005039392,0.009300936],"genre_scores_gemma":[0.1227949,0.004426592,0.09370655,0.0003000236,0.0001682677,0.0006073744,0.7711696,0.0009657271,0.005860927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004596213,"threshold_uncertainty_score":0.01492858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452640081576748,"score_gpt":0.2231569305663783,"score_spread":0.2086305297506109,"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."}}