{"id":"W3009395273","doi":"10.1128/mra.01583-19","title":"Complete Genome Sequence of Mycobacterium xenopi JCM15661 <sup>T</sup> , Obtained Using Nanopore and Illumina Sequencing Technologies","year":2020,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Japan International Cooperation Agency; Ministry of Education, Culture, Sports, Science and Technology; Institute of Genetics; Japan Agency for Medical Research and Development","keywords":"Whole genome sequencing; Genome; Nanopore sequencing; Biology; Mycobacterium; Sequence (biology); DNA sequencing; Computational biology; Genetics; Microbiology; Gene; 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":[0.0005246471,0.001230239,0.001213077,0.00200701,0.001343224,0.0009173423,0.0006577041,0.001428284,0.006256177],"category_scores_gemma":[0.001456263,0.0005710296,0.0007868789,0.004680074,0.000447872,0.0007711962,0.0006114997,0.001700847,0.00785165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006001159,"about_ca_system_score_gemma":0.00288939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043357,"about_ca_topic_score_gemma":0.009965398,"domain_scores_codex":[0.9995747,0.00003895205,0.00005880972,0.0001072885,0.0001645463,0.00005566967],"domain_scores_gemma":[0.9993906,0.0001399268,0.0001216638,0.00006677851,0.0001617877,0.0001192106],"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":[0.001981477,0.0002902497,0.004088345,0.003447021,0.00008988285,0.001282593,0.0005918997,0.001132456,0.9110479,0.001140466,0.03976981,0.0351378],"study_design_scores_gemma":[0.0006811047,0.001068364,0.1767335,0.0008787771,0.0008914256,0.004291745,0.001044432,0.003994498,0.1763497,0.00262801,0.6310576,0.0003809028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1872783,0.007763441,0.01956655,0.001631973,0.001264474,0.0007297315,0.7680595,0.001648194,0.01205794],"genre_scores_gemma":[0.04559481,0.003711853,0.02425861,0.0003698118,0.0001853245,0.000353216,0.9193814,0.0005176516,0.005627295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01043357,"threshold_uncertainty_score":0.02092898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0624096152162075,"score_gpt":0.27898630253907,"score_spread":0.2165766873228625,"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."}}