{"id":"W4393091532","doi":"10.1093/femsml/uqae003","title":"Multireceptor phage cocktail against <i>Salmonella enterica</i> to circumvent phage resistance","year":2024,"lang":"en","type":"article","venue":"microLife","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"National Cancer Institute; National Institutes of Health; Agriculture and Agri-Food Canada; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Canadian Poultry Research Council","keywords":"Salmonella; Bacteriophage; Salmonella enterica; Microbiology; Biology; Transduction (biophysics); Virulence; Kanamycin; Phage therapy; Serotype; Mutant; Antibiotic resistance; Virology; Bacteria; Escherichia coli; Gene; Genetics; Antibiotics","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":[0.0002159272,0.000625527,0.0004452021,0.0003482884,0.0001150978,0.0003872241,0.000294457,0.0003749293,0.00127663],"category_scores_gemma":[0.0001696296,0.0001684612,0.0005323988,0.0001827001,0.0001247537,0.0002200763,0.0004309375,0.0005256407,0.0005101028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162832,"about_ca_system_score_gemma":0.0001472807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482734,"about_ca_topic_score_gemma":0.0002811479,"domain_scores_codex":[0.9996542,0.0000570469,0.0000309588,0.00006773189,0.0001107561,0.00007936775],"domain_scores_gemma":[0.9998729,0.00001486921,0.00003488233,0.00001560659,0.00002940554,0.00003222454],"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":[0.00003404962,0.00002536628,0.0001251722,0.0000318,0.000004847822,0.000009259898,0.000003309782,0.00004771711,0.998592,0.00001581019,0.00003569919,0.001075027],"study_design_scores_gemma":[0.00001003977,0.0009145144,0.002348193,0.000009946641,0.00003218099,0.0002094549,0.00001355526,0.001021497,0.9926899,0.00001114317,0.002731268,0.00000826079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867643,0.001829356,0.008925271,0.0000955205,0.00006905002,0.0001516104,0.0003644804,0.0002488535,0.001551604],"genre_scores_gemma":[0.9787384,0.0009208175,0.015738,0.0001443072,0.00002086873,0.0001079782,0.0009940519,0.00004383262,0.00329176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127663,"threshold_uncertainty_score":0.004270792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005539836250442644,"score_gpt":0.2342409864677578,"score_spread":0.2287011502173151,"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."}}