{"id":"W3088746647","doi":"10.3390/microorganisms8091449","title":"Population Dynamics between Erwinia amylovora, Pantoea agglomerans and Bacteriophages: Exploiting Synergy and Competition to Improve Phage Cocktail Efficacy","year":2020,"lang":"en","type":"article","venue":"Microorganisms","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Génome Québec; U.S. Department of Agriculture","keywords":"Pantoea agglomerans; Erwinia; Myoviridae; Lytic cycle; Biology; Bacteriophage; Pantoea; Microbiology; Phage therapy; Pathogen; Podoviridae; Lysogenic cycle; Prophage; Bacteria; Population; Bacterial virus; Virology; Virus; Escherichia coli; Pseudomonas; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008066896,0.0002389808,0.0002792757,0.00003732464,0.0002724505,0.0001824411,0.0001336884,0.00009432669,0.0007143911],"category_scores_gemma":[0.00003008571,0.0002530733,0.00004409402,0.0001993851,0.00008287081,0.0003739153,0.0002777801,0.0001788862,0.0002429008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391846,"about_ca_system_score_gemma":0.000004811769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009556486,"about_ca_topic_score_gemma":0.0003145344,"domain_scores_codex":[0.9986863,0.00005091731,0.0003192934,0.0005267424,0.0001059248,0.0003107985],"domain_scores_gemma":[0.9993854,0.00005370393,0.0001096134,0.0001548722,0.00001124218,0.0002852065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001784188,0.00002626485,0.005777134,0.00002068571,0.00001564046,0.000006799171,0.001162847,0.00001295542,0.9735935,0.00002765905,0.00006045228,0.01927816],"study_design_scores_gemma":[0.001228147,0.0005134426,0.8873358,0.00008092204,0.0001111959,0.00004604314,0.0007875921,0.0004239817,0.1026382,0.00005478995,0.00602771,0.0007521323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933907,0.00002366101,0.004245752,0.001479789,0.0001341127,0.000308481,0.0001490052,0.00009367812,0.0001748012],"genre_scores_gemma":[0.9959499,0.00002645753,0.00243022,0.001026937,0.0001376033,0.000007544161,0.000198601,0.00004418482,0.00017855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8815587,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008551562830707233,"score_gpt":0.2135344578992811,"score_spread":0.2049828950685738,"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."}}