{"id":"W2971277387","doi":"10.1128/mra.00870-19","title":"Draft Genome Sequence of Streptomyces sp. Strain RKND-216, an Antibiotic Producer Isolated from Marine Sediment in Prince Edward Island, Canada","year":2019,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nautilus Biosciences (Canada); University of Prince Edward Island","funders":"University of Prince Edward Island; Atlantic Canada Opportunities Agency; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Jean-Louis Lévesque; Canada Foundation for Innovation; McGill University; Innovation PEI; Government of Canada","keywords":"Contig; Whole genome sequencing; Genome; Streptomyces; Biology; Strain (injury); Natural product; Gene; Genetics; Bacteria; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004265562,0.001641273,0.001653736,0.003041614,0.001900093,0.001552925,0.0008391381,0.0007088559,0.005606537],"category_scores_gemma":[0.000962616,0.0005988009,0.00106539,0.005819229,0.0003949954,0.0004014253,0.0004702624,0.001493019,0.003916856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003576074,"about_ca_system_score_gemma":0.01673046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3614146,"about_ca_topic_score_gemma":0.4195533,"domain_scores_codex":[0.9997262,0.00001415754,0.000023719,0.00007230629,0.0001183456,0.00004522806],"domain_scores_gemma":[0.9992831,0.00007332773,0.00008481904,0.00002594179,0.000385871,0.0001469781],"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":[0.005435705,0.0005799551,0.0207282,0.0124034,0.000608735,0.005243431,0.002976028,0.006974966,0.7426931,0.002672006,0.09914528,0.1005393],"study_design_scores_gemma":[0.0008966639,0.0007465397,0.3205966,0.002212709,0.002610204,0.002967915,0.002689762,0.01167105,0.07621671,0.002000231,0.5769091,0.0004825178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1257846,0.006595478,0.01188841,0.0006962394,0.000366202,0.0004798381,0.8427709,0.002147429,0.00927081],"genre_scores_gemma":[0.05765033,0.003356688,0.02225401,0.0001287099,0.00004219351,0.0002435796,0.9094585,0.0003425707,0.006523449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6385854,"threshold_uncertainty_score":0.7186217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006682968704972319,"score_gpt":0.2135960537753688,"score_spread":0.2069130850703965,"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."}}