{"id":"W3018671013","doi":"10.1128/mra.00106-20","title":"Draft Genome Sequence of the Thermophilic Bacterium Bacillus licheniformis SMIA-2, an Antimicrobial- and Thermostable Enzyme-Producing Isolate from Brazilian Soil","year":2020,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministério da Ciência, Tecnologia e Inovação; University of Alberta; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Alberta Innovates - Technology Futures; Government of Canada","keywords":"Bacillus licheniformis; Xylanase; Thermophile; Cellulase; Microbiology; Antimicrobial; Bacteria; Bacillus (shape); Biology; Whole genome sequencing; Genome; Enzyme; Gene; Bacillus subtilis; Biochemistry; 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":[0.0006957889,0.002174833,0.001949655,0.002973072,0.001206749,0.001383109,0.001000419,0.001254355,0.00543823],"category_scores_gemma":[0.002327536,0.0008202642,0.00134004,0.005265488,0.0004253032,0.0007746617,0.0007974591,0.002031819,0.005249099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009464879,"about_ca_system_score_gemma":0.004618181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089537,"about_ca_topic_score_gemma":0.01139444,"domain_scores_codex":[0.9995695,0.00005664336,0.00005220585,0.0001271997,0.0001386963,0.00005581392],"domain_scores_gemma":[0.9988031,0.0002725064,0.0002927752,0.00009182171,0.0003050207,0.0002346615],"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":[0.00456236,0.0005550233,0.00757839,0.01119967,0.0003635066,0.002483523,0.001591368,0.004069367,0.8804684,0.001492841,0.03141181,0.0542238],"study_design_scores_gemma":[0.001918408,0.002213644,0.2137262,0.003691445,0.004036353,0.005869558,0.002148278,0.0124247,0.1735282,0.004896563,0.5749947,0.0005519614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1413329,0.008758281,0.02863922,0.001161078,0.0004762365,0.0005559274,0.8094385,0.003347628,0.006290223],"genre_scores_gemma":[0.04385047,0.00282358,0.03069886,0.0001372002,0.00006827954,0.0003113316,0.91961,0.0005522945,0.001947959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089537,"threshold_uncertainty_score":0.0216639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521355257658771,"score_gpt":0.2169953425111293,"score_spread":0.2017817899345416,"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."}}