{"id":"W4409592216","doi":"10.1101/2025.04.15.648955","title":"Genomic and Bioinformatic Insights into <i>Enterococcus faecalis</i> from Retail Meats in Nigeria","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Guelph; University of Saskatchewan","funders":"","keywords":"Enterococcus faecalis; Business; Biotechnology; Biology; Food science; Gene; Genetics; Escherichia coli","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002622201,0.0004143269,0.0004009614,0.0002724021,0.0001231547,0.000218956,0.0005299394,0.0006041473,0.00002065054],"category_scores_gemma":[0.0001297041,0.0004599206,0.0001018243,0.0002332622,0.0001348704,0.00001524792,0.0006086032,0.0003561408,0.0000470586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009137054,"about_ca_system_score_gemma":0.0003256731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008344671,"about_ca_topic_score_gemma":0.00005366575,"domain_scores_codex":[0.9977661,0.0001353038,0.0007314716,0.0009071301,0.0001772072,0.0002828103],"domain_scores_gemma":[0.9979507,0.00002068779,0.0003581274,0.001305898,0.000240082,0.000124459],"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":[0.00003460792,0.0000682106,0.006262852,0.0002462073,0.0001048359,0.000002708829,0.0000653983,0.00001675665,0.9925607,0.000171752,0.0004589136,0.000007101579],"study_design_scores_gemma":[0.0008109956,0.00003258782,0.09454625,0.0003273048,0.00006039331,1.012366e-8,0.00002055265,0.0003963742,0.8579714,0.000008587618,0.0450947,0.0007308265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924868,0.004133388,0.001427629,0.0001610043,0.0009020653,0.0005916254,0.0001954808,0.00006717715,0.00003483643],"genre_scores_gemma":[0.9964603,0.00131841,0.001390499,0.0004033492,0.0001296961,0.0002001707,0.00001685939,0.00004094915,0.00003977083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1345892,"threshold_uncertainty_score":0.9997852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185056914525969,"score_gpt":0.2226397177856076,"score_spread":0.2107891486403479,"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."}}