{"id":"W1992707079","doi":"10.1128/jb.00330-11","title":"Genome Sequence of Streptomyces griseus Strain XylebKG-1, an Ambrosia Beetle-Associated Actinomycete","year":2011,"lang":"en","type":"article","venue":"Journal of Bacteriology","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Great Lakes Bioenergy Research Center; National Institute of Food and Agriculture; Österreichischen Akademie der Wissenschaften; Joint Genome Institute; University of Bern; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Streptomyces griseus; Biology; Strain (injury); Genome; Whole genome sequencing; Microbiology; Fungus; Botany; Genetics; Gene; Streptomyces; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001660372,0.0006206766,0.0006207286,0.0009274111,0.0003427001,0.0003720573,0.0002447062,0.0003628363,0.001990627],"category_scores_gemma":[0.0003411587,0.0001535302,0.000485841,0.001328625,0.0001373355,0.0002482116,0.0002255849,0.0006001857,0.001493717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042778,"about_ca_system_score_gemma":0.000673357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642694,"about_ca_topic_score_gemma":0.003157372,"domain_scores_codex":[0.9998881,0.00001808127,0.00001255031,0.0000306464,0.00003260153,0.000017995],"domain_scores_gemma":[0.9998217,0.0000371872,0.00004602722,0.00001636536,0.00003152974,0.00004720192],"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":[0.001338678,0.000186845,0.005311608,0.0009650802,0.00005197684,0.0007435288,0.0002620207,0.0006938631,0.9630513,0.0004675142,0.001919114,0.02500856],"study_design_scores_gemma":[0.0004528097,0.001850887,0.4231301,0.0004963925,0.001102249,0.007012234,0.001056822,0.007598196,0.3418475,0.001595784,0.2136208,0.0002361482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7660589,0.008534918,0.02062666,0.000732185,0.000322628,0.0004111508,0.1923668,0.00107041,0.009876432],"genre_scores_gemma":[0.4964931,0.004711378,0.03576843,0.0002067721,0.0001030529,0.0002054251,0.4561978,0.0002455191,0.006068564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003642694,"threshold_uncertainty_score":0.007243037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640140784083696,"score_gpt":0.2480906738396243,"score_spread":0.1916892659987873,"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."}}