{"id":"W2761283601","doi":"10.1128/genomea.01131-17","title":"Draft Genome Sequence of Enterococcus canintestini 49, a Potential Probiotic That Produces Multiple Bacteriocins","year":2017,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CanBiocin (Canada); University of Alberta","funders":"Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Bacteriocin; Biology; Probiotic; Whole genome sequencing; Genome; Enterococcus; Computational biology; Microbiology; Genetics; Bacteria; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0002424683,0.0002483408,0.0002908256,0.00002133687,0.0006331945,0.0002331284,0.0009869884,0.00009110069,0.0001843591],"category_scores_gemma":[0.00005524751,0.000115265,0.0001158465,0.00009161008,0.0002779626,0.0002843036,0.0004116972,0.0001323078,0.00006385003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006267852,"about_ca_system_score_gemma":0.00003077093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003491753,"about_ca_topic_score_gemma":0.0002225802,"domain_scores_codex":[0.9982657,0.00003912457,0.0003419146,0.0005233078,0.0003137506,0.0005161781],"domain_scores_gemma":[0.9989552,0.00001603946,0.0004517757,0.000287637,0.0001556962,0.0001335812],"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":[0.00004291883,0.0001853225,0.04088827,0.00002990972,0.00005207588,0.00001162461,0.0001768333,0.000006522426,0.9568278,0.000007141139,0.00002395196,0.001747648],"study_design_scores_gemma":[0.0007431365,0.001231253,0.9508224,0.0001256377,0.0000581217,0.00002377361,0.0002939324,0.00006831562,0.01442631,0.0001083806,0.0315365,0.0005622099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963667,0.0001543778,0.00001185372,0.0004766968,0.0003781422,0.000650314,0.001199283,0.00003882085,0.0007237708],"genre_scores_gemma":[0.9981241,0.0001465193,0.0001322528,0.00009783923,0.0001845566,0.00002397973,0.0005513278,0.000002777262,0.0007366089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9424015,"threshold_uncertainty_score":0.4870084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05525672310580133,"score_gpt":0.2464918658153141,"score_spread":0.1912351427095128,"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."}}