{"id":"W4411624692","doi":"10.1128/msystems.00587-25","title":"Multi-omics characterization of a lytic phage targeting <i>Listeria monocytogenes</i>","year":2025,"lang":"en","type":"article","venue":"mSystems","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Bijzonder Onderzoeksfonds UGent; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme; European Commission","keywords":"Lytic cycle; Biology; Listeria monocytogenes; Transcriptome; Listeria; Bacteriophage; Gene; DNA microarray; Transcription (linguistics); Phage display; Gene expression; Genetics; Microbiology; Bacteria; Virus; Escherichia coli; Antibody","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":[0.0002657249,0.0005942094,0.0006435856,0.001042746,0.0003911168,0.001121188,0.0002300494,0.000511576,0.0009499073],"category_scores_gemma":[0.000213795,0.0002091189,0.0007305232,0.0006193323,0.0001735549,0.0003482648,0.0003864454,0.0005275895,0.0005319131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645842,"about_ca_system_score_gemma":0.0002866228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075735,"about_ca_topic_score_gemma":0.001235993,"domain_scores_codex":[0.9997873,0.00001737674,0.00001222784,0.000079604,0.00006823849,0.00003522694],"domain_scores_gemma":[0.9998592,0.00003243254,0.00003132863,0.000009352542,0.00004171524,0.00002591043],"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":[0.000126954,0.00002625192,0.002411854,0.000125707,0.00002880386,0.00006801064,0.00003160898,0.0003012167,0.994518,0.00003095876,0.0001624298,0.002168179],"study_design_scores_gemma":[0.00002213284,0.0004609197,0.1788039,0.00007957856,0.0002048872,0.000748904,0.0005266404,0.02926831,0.7816243,0.0003883899,0.007784607,0.00008732554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707739,0.001651443,0.01230626,0.000235994,0.00004489529,0.0000602712,0.0130643,0.0004985484,0.001364379],"genre_scores_gemma":[0.9366997,0.001212968,0.03414355,0.0005113949,0.00004869489,0.0001601686,0.02466448,0.0002711066,0.002287893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001121188,"threshold_uncertainty_score":0.003177822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258029280520737,"score_gpt":0.2493155762627334,"score_spread":0.236735283457526,"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."}}