{"id":"W2788912597","doi":"10.1128/genomea.00052-18","title":"Draft Genome Sequence of Bacillus sp. Strain UFRGS-B20, a Hydrocarbon Degrader","year":2018,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universidade Federal do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; University of Toronto Scarborough; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Strain (injury); Petrochemical; Biodegradation; Hydrocarbon; Whole genome sequencing; Biology; Genome; Bacillus (shape); Microbiology; Gene; Chemistry; Genetics; Organic chemistry; Ecology","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":[0.0009109938,0.002382246,0.002317075,0.003421078,0.001210938,0.001368487,0.0009962355,0.001358439,0.005124755],"category_scores_gemma":[0.002779603,0.0008393487,0.001486149,0.006461368,0.0004247556,0.0008770879,0.0009198568,0.002157494,0.005160448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008351611,"about_ca_system_score_gemma":0.004246762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009824103,"about_ca_topic_score_gemma":0.008004236,"domain_scores_codex":[0.9994223,0.00007405884,0.00008528691,0.0001635385,0.000181661,0.00007307237],"domain_scores_gemma":[0.9985253,0.000297246,0.0003283162,0.00009747378,0.0005139965,0.0002376579],"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":[0.004708874,0.0005734937,0.008327426,0.0155151,0.0005044578,0.002651134,0.001375039,0.003370159,0.8258995,0.001606674,0.04795448,0.08751366],"study_design_scores_gemma":[0.001255854,0.002022644,0.1627784,0.003172647,0.004175412,0.005693908,0.001904519,0.009062489,0.1507859,0.004419941,0.6541464,0.0005819043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1586523,0.0167499,0.02977961,0.00213824,0.001201992,0.0006057146,0.7791684,0.003645107,0.008058856],"genre_scores_gemma":[0.04083749,0.004666849,0.03558325,0.0001782217,0.0001319201,0.0003588789,0.9151192,0.0006504116,0.002473854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009824103,"threshold_uncertainty_score":0.01953381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618503973027502,"score_gpt":0.2603671645754319,"score_spread":0.2341821248451569,"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."}}