{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000232462,0.0003133827,0.0005224683,0.0001995647,0.0002251526,0.0006884322,0.0003127106,0.0003998814,0.0004846252],"category_scores_gemma":[0.0003389793,0.0002029692,0.0003092731,0.0001429593,0.000141214,0.0003918858,0.0005573733,0.0003919278,0.0001161444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966171,"about_ca_system_score_gemma":0.000430507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00226678,"about_ca_topic_score_gemma":0.002156152,"domain_scores_codex":[0.9997376,0.00004623433,0.00001164003,0.00006819229,0.00007324838,0.00006302631],"domain_scores_gemma":[0.999782,0.0000822595,0.00005860002,0.00001020403,0.00002702614,0.00003982588],"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":[0.0001904488,0.00009921636,0.002630365,0.00005097216,0.00001673554,0.00005100814,0.00003525052,0.002927248,0.9902769,0.0003494235,0.00005353163,0.003318847],"study_design_scores_gemma":[0.00008250529,0.001833645,0.02187733,0.00002232078,0.00009640255,0.0003247504,0.00033264,0.180738,0.7907007,0.0006715438,0.00326454,0.00005559656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994956,0.0004294234,0.003787824,0.00006568735,0.000006565549,0.00001521902,0.00004360274,0.00002690766,0.0006688531],"genre_scores_gemma":[0.996431,0.0002138504,0.002443804,0.00002767764,0.000004021836,0.00002519463,0.00005508169,0.000006824835,0.0007925801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00226678,"threshold_uncertainty_score":0.004507124,"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."}}