{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003175491,0.0009936147,0.001070202,0.001366806,0.0006156996,0.0006241719,0.0005613375,0.0006812698,0.00370806],"category_scores_gemma":[0.0004361695,0.0003261095,0.0008249537,0.002640755,0.0002666352,0.0003581178,0.0003986258,0.0008885869,0.003268064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008365274,"about_ca_system_score_gemma":0.001450691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072951,"about_ca_topic_score_gemma":0.006125051,"domain_scores_codex":[0.9997453,0.00002828958,0.00002890179,0.00006632775,0.00008585086,0.00004528615],"domain_scores_gemma":[0.9997517,0.00003402612,0.00005090885,0.00001851281,0.00008089898,0.00006385511],"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":[0.001424359,0.0001640742,0.002955606,0.001098924,0.00005118925,0.0005219128,0.000244268,0.0008527769,0.9685248,0.000516557,0.003531384,0.02011416],"study_design_scores_gemma":[0.0007797265,0.002445364,0.4300505,0.0007582119,0.0009332682,0.002665275,0.0009308394,0.008719794,0.2338874,0.001378717,0.3171035,0.000347443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6481776,0.007385922,0.02790508,0.0007490491,0.0003001964,0.0007708423,0.3041882,0.001272192,0.009251012],"genre_scores_gemma":[0.2583696,0.002294759,0.0251836,0.0002639539,0.00006284229,0.0003213209,0.7075887,0.0002744657,0.005640774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072951,"threshold_uncertainty_score":0.02133411,"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."}}