{"id":"W2944645675","doi":"10.3389/fmicb.2019.01020","title":"Whole Genome Sequencing and Metabolomic Study of Cave Streptomyces Isolates ICC1 and ICC4","year":2019,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Thompson Rivers University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Secondary metabolite; Biology; Genome; Streptomyces; Metabolome; Metabolite; Metabolomics; Whole genome sequencing; Genomics; Secondary metabolism; Gene; Polyketide; Computational biology; Bacteria; Genetics; Bioinformatics; Biochemistry; Biosynthesis","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":[0.0002139836,0.0005972138,0.0007698422,0.001151233,0.000855176,0.0007791251,0.0002710587,0.0004454436,0.000855846],"category_scores_gemma":[0.000478209,0.0001786583,0.0007540783,0.002565921,0.0002634563,0.0001875693,0.0005207215,0.0006146547,0.0005026157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000535152,"about_ca_system_score_gemma":0.00126685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126787,"about_ca_topic_score_gemma":0.02141869,"domain_scores_codex":[0.9996332,0.00001822498,0.00003209121,0.0001021047,0.0001273985,0.00008703203],"domain_scores_gemma":[0.9995766,0.00005334878,0.00008700752,0.00003255136,0.00016051,0.00008999032],"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":[0.0006380287,0.0001358226,0.02204844,0.0002614443,0.00005979423,0.0007513486,0.0004783014,0.0003795596,0.9643673,0.000085211,0.0006095915,0.01018507],"study_design_scores_gemma":[0.00008407844,0.0009431423,0.7639182,0.000120732,0.0004216538,0.003079246,0.002780302,0.003056995,0.1986105,0.0001246422,0.02673826,0.0001222806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765106,0.0003949975,0.001173003,0.0001036793,0.0000218158,0.0001248099,0.01989035,0.00008890652,0.001691865],"genre_scores_gemma":[0.897613,0.0009212634,0.01314922,0.0001836051,0.00002615492,0.000291421,0.08369496,0.0001256176,0.003994808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02126787,"threshold_uncertainty_score":0.04228812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005040180584096272,"score_gpt":0.1986845707825794,"score_spread":0.1936443901984831,"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."}}