{"id":"W2560723592","doi":"10.1128/genomea.01292-16","title":"Complete Genome Sequence of vB_EcoM-UFV13, a New Bacteriophage Able To Disrupt Trueperella pyogenes Biofilm","year":2016,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Sistema de Laboratórios em Nanotecnologias, Universidade Federal de Viçosa; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Ministério da Ciência, Tecnologia e Inovação; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lytic cycle; Biology; Bacteriophage; Microbiology; Biofilm; Whole genome sequencing; Virology; Genome; Escherichia coli; Bacteria; Genetics; Virus; Gene","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":[0.0003667306,0.001473161,0.001342786,0.001937011,0.0006977348,0.000853192,0.0008017493,0.001061375,0.005334758],"category_scores_gemma":[0.0007558153,0.000595795,0.001226572,0.003201071,0.0003761628,0.0006129874,0.0004852259,0.001610393,0.004905152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007622202,"about_ca_system_score_gemma":0.001951917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123888,"about_ca_topic_score_gemma":0.006372163,"domain_scores_codex":[0.9997097,0.0000290314,0.00002892539,0.00007490549,0.00009399932,0.00006336332],"domain_scores_gemma":[0.9995599,0.00009666562,0.0001099332,0.00003596326,0.0001106308,0.0000868363],"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":[0.001939956,0.0002756,0.002562795,0.002471374,0.0000939187,0.0005067141,0.0003512432,0.0007332034,0.9509616,0.000786095,0.008703611,0.03061402],"study_design_scores_gemma":[0.0009500306,0.002244827,0.1943936,0.0009431823,0.001405717,0.00317181,0.0008748294,0.004561077,0.3533158,0.001887215,0.4357249,0.0005270412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3246655,0.01523542,0.05387865,0.001155723,0.001119578,0.001194073,0.5875257,0.002308551,0.0129168],"genre_scores_gemma":[0.1073241,0.003984437,0.02725558,0.0002171984,0.0001052989,0.0004422964,0.8519651,0.0005005634,0.008205325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0123888,"threshold_uncertainty_score":0.02463335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256533166874812,"score_gpt":0.2593940707623859,"score_spread":0.2268287390936377,"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."}}