{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006992064,0.0001787721,0.0007693024,0.0002613154,0.00005204794,0.00001276553,0.0002468897,0.0002256095,0.0008952535],"category_scores_gemma":[0.0001608381,0.0001755164,0.0002188706,0.002124147,0.0002336365,0.00009109562,0.0001902088,0.0002013544,0.00001068918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143479,"about_ca_system_score_gemma":0.00006986317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001784388,"about_ca_topic_score_gemma":0.000608394,"domain_scores_codex":[0.9978046,0.0004566198,0.0009075275,0.0004974416,0.00002898514,0.0003048505],"domain_scores_gemma":[0.9991679,0.0001130889,0.0003024026,0.000263212,0.00009329467,0.00006016812],"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":[0.0002528618,0.0003099347,0.0345242,0.000005847346,0.0004798034,0.000002035125,0.00026338,0.0002357212,0.952126,0.000001741309,0.00361786,0.008180678],"study_design_scores_gemma":[0.0006223301,0.0001226878,0.1665173,0.00002173645,0.0001317033,0.000009740867,0.0001236693,0.0001765407,0.8022478,0.000003540244,0.02981647,0.0002065068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463434,0.00008599953,0.05198019,0.0001235592,0.0009429305,0.0001692434,0.0001726741,0.00001103805,0.0001709666],"genre_scores_gemma":[0.5827385,0.0002889398,0.4158231,0.000590142,0.00002564727,0.000006674885,0.0001887788,0.00001826369,0.0003199995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3638429,"threshold_uncertainty_score":0.9802398,"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."}}