{"id":"W2549409319","doi":"10.1128/genomea.01242-16","title":"Complete Genome Sequence of Brevibacterium linens SMQ-1335","year":2016,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Lévis; Université Laval","funders":"Canada Research Chairs; Government of Canada; Génome Québec","keywords":"Biology; Brevibacterium; Whole genome sequencing; Strain (injury); Genome; Genetics; Computational biology; Bacteria; Gene; Microorganism","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":[0.0001910662,0.0002016032,0.0002369339,0.00004104678,0.00009249776,0.00001067268,0.000323577,0.00007516069,0.00006547683],"category_scores_gemma":[0.00002839782,0.0001536362,0.0001023324,0.0000754603,0.0001505248,0.000001607254,0.0002672644,0.00003854111,0.00005896817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002533033,"about_ca_system_score_gemma":0.00006059914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001529483,"about_ca_topic_score_gemma":0.000007838681,"domain_scores_codex":[0.9987057,0.00004554195,0.0003446996,0.0003946384,0.000154685,0.0003547377],"domain_scores_gemma":[0.9990703,0.0000106682,0.0001634239,0.0004855919,0.000188024,0.00008194806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004009106,0.00003903925,0.004407068,0.00002053151,0.0001311816,0.000001638855,0.000064213,0.000009382706,0.9943314,0.00002652975,0.0001409045,0.0007880471],"study_design_scores_gemma":[0.0009450801,0.0006062699,0.04883704,0.00002239602,0.00003486985,0.00001072488,0.00004208212,0.000001902708,0.02155404,0.00014455,0.9274207,0.0003803646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922542,0.001755281,0.0008477774,0.0002402684,0.0002953757,0.0002609682,0.003021126,0.00000496554,0.00132006],"genre_scores_gemma":[0.9945726,0.001892125,0.0006424459,0.0002955068,0.0002544817,0.0000246731,0.0003032993,0.00002386349,0.001990937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9727773,"threshold_uncertainty_score":0.6265101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374756026005098,"score_gpt":0.2543609539028268,"score_spread":0.2206133936427758,"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."}}