{"id":"W3197458003","doi":"10.21203/rs.3.rs-850585/v1","title":"Lytic Bacteriophages against Mutidrug-Resistant Klebsiella pneumoniae: Development of an Effective Phage-based Approach to Combat Multidrug Resistance","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Cardiff University","keywords":"Lytic cycle; Klebsiella pneumoniae; Multiple drug resistance; Microbiology; Bacteriophage; Virology; Biology; Drug resistance; Virus; Escherichia coli; Gene; Genetics","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":[0.0003322107,0.0003370481,0.0003532473,0.0002873715,0.0001712311,0.0004646071,0.0002556186,0.0003640571,0.0009575959],"category_scores_gemma":[0.0002569555,0.0001211999,0.0002209467,0.0001518199,0.0002344025,0.0002213571,0.0002486496,0.00054244,0.0003328901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088122,"about_ca_system_score_gemma":0.0003119302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000400559,"about_ca_topic_score_gemma":0.0005084104,"domain_scores_codex":[0.9998909,0.00002330755,0.000006464759,0.00001638604,0.00003557741,0.00002745248],"domain_scores_gemma":[0.9999288,0.0000173471,0.00001088216,0.000006949603,0.00001332217,0.0000226513],"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":[0.0001237516,0.00005318292,0.0001050499,0.00004165444,0.000004503105,0.00001798262,0.00002276948,0.0002075154,0.9939274,0.0002980273,0.00005796878,0.005140297],"study_design_scores_gemma":[0.00005232852,0.001266856,0.0008768152,0.00001265656,0.0000195023,0.00006099386,0.00002095888,0.001260811,0.9922609,0.0001018589,0.004061072,0.000005372383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767826,0.004564172,0.0142352,0.0002338745,0.0001246141,0.0001333399,0.000161556,0.0001520958,0.003612579],"genre_scores_gemma":[0.974916,0.003352616,0.01464455,0.00008991372,0.0000412271,0.00008940786,0.0003460742,0.00004439199,0.006475894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009575959,"threshold_uncertainty_score":0.003203511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800666787412769,"score_gpt":0.331322875955004,"score_spread":0.3033162080808763,"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."}}