{"id":"W3150073186","doi":"10.3389/fmicb.2021.613529","title":"Analysis of Selection Methods to Develop Novel Phage Therapy Cocktails Against Antimicrobial Resistant Clinical Isolates of Bacteria","year":2021,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; University of Leicester; Directorate for Biological Sciences; Natural Environment Research Council; Science Foundation Ireland; University of Oxford; Biotechnology and Biological Sciences Research Council; Bill and Melinda Gates Foundation; University Hospitals of Leicester NHS Trust; Department of Health and Social Care; King Saud University; Sight Research UK; Wellcome Trust; National Institute for Health and Care Research","keywords":"Antimicrobial; Microbiology; Selection (genetic algorithm); Bacteria; Biology; Phage therapy; Clinical microbiology; Antibiotic resistance; Bacteriophage; Antibiotics; Genetics; Escherichia coli; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256276,0.000723937,0.000659475,0.0009275414,0.0002255062,0.0008325688,0.0003834199,0.0004653408,0.001246735],"category_scores_gemma":[0.001474934,0.0002929483,0.0006199202,0.0006459284,0.0002235617,0.0004570642,0.0005301458,0.0005946689,0.0004962824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990969,"about_ca_system_score_gemma":0.0002919741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000316852,"about_ca_topic_score_gemma":0.0003811022,"domain_scores_codex":[0.998511,0.0003224994,0.0001387417,0.000246935,0.0006705084,0.0001101849],"domain_scores_gemma":[0.9992062,0.0003095232,0.0001945275,0.00006397078,0.0001611823,0.00006455027],"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":[0.0000968939,0.000184232,0.0009122867,0.0001598751,0.0000243226,0.00003308854,0.00002948021,0.0004944052,0.9851923,0.00008095673,0.00007577749,0.01271637],"study_design_scores_gemma":[0.0000201756,0.002554708,0.005985528,0.00002921752,0.00007042794,0.0002422071,0.00005950877,0.004281296,0.9835809,0.00006615728,0.003089656,0.00002000924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207526,0.005325206,0.06856199,0.0003035108,0.0001065747,0.0008987061,0.0008587756,0.0003082583,0.002884298],"genre_scores_gemma":[0.8776084,0.005527439,0.1095326,0.0002393163,0.00004111678,0.0007893112,0.001774607,0.000132799,0.004354435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001256276,"threshold_uncertainty_score":0.006643891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155133988326551,"score_gpt":0.328201915643558,"score_spread":0.3066505757602925,"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."}}