{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001373819,0.0002497805,0.0002066034,0.00006042125,0.000167334,0.0001992521,0.000331261,0.00007314656,0.004746798],"category_scores_gemma":[0.00001727789,0.0002431217,0.0001617691,0.0003584306,0.0000934476,0.0002461956,0.0002568343,0.00021872,0.01358915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504299,"about_ca_system_score_gemma":0.00001529675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001505627,"about_ca_topic_score_gemma":0.0002174681,"domain_scores_codex":[0.9983833,0.00004873984,0.0003225301,0.0006066202,0.00017065,0.0004681237],"domain_scores_gemma":[0.9993036,0.0000419944,0.0000465282,0.0003512622,0.000009549679,0.0002470424],"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":[0.00002358467,0.00008627627,0.0001020438,0.00002365951,0.00001900718,0.00007005985,0.0005575103,0.00003001778,0.844129,0.000005332753,0.1477936,0.007159946],"study_design_scores_gemma":[0.0001693786,0.00002764065,0.001827476,0.00009364286,0.00001524441,0.00001743474,0.00005784915,0.00005851672,0.1161964,0.000004966873,0.8812706,0.0002608569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629621,0.0008210735,0.001233456,0.001911099,0.001711757,0.000478017,0.0002304628,0.000316764,0.0303353],"genre_scores_gemma":[0.9578022,0.0001164463,0.001414053,0.003574769,0.0002122002,0.00005105627,0.00003318882,0.00005578888,0.03674025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.733477,"threshold_uncertainty_score":0.996163,"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."}}