{"id":"W3103201516","doi":"10.1128/mra.00960-20","title":"Complete Genome Sequence of a Canadian Klebsiella michiganensis Strain, Obtained Using Oxford Nanopore Technologies Sequencing","year":2020,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Whole genome sequencing; Strain (injury); Opportunistic pathogen; Microbiology; Nanopore sequencing; Klebsiella; Biology; Genome; Pathogen; Clavibacter michiganensis; Sequence (biology); Genetics; Gene; Virulence; Escherichia coli","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001178266,0.000270324,0.0003429173,0.0001643013,0.0001875967,0.00001374085,0.0004450028,0.000241602,0.00001496583],"category_scores_gemma":[0.00006058258,0.0002724318,0.0001002969,0.0003218515,0.0003711842,0.000001254322,0.0002680736,0.0001247873,0.000005373715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005796534,"about_ca_system_score_gemma":0.0001674389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230244,"about_ca_topic_score_gemma":0.001766803,"domain_scores_codex":[0.9984481,0.00005860878,0.0003714953,0.0005280071,0.00005536209,0.0005383994],"domain_scores_gemma":[0.9992275,0.00000917496,0.0001886053,0.0003353624,0.0001325377,0.0001068702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000294546,0.000009207043,0.002248837,0.00002918316,0.0001891221,0.0000128793,0.000423782,0.0004513848,0.9959342,0.00001228075,0.0004906185,0.0001690497],"study_design_scores_gemma":[0.0005548751,0.0005295613,0.00006982161,0.00002293565,0.00005348914,0.00008048042,0.002476175,0.0001885073,0.04122008,0.0000236093,0.9543545,0.0004260205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872276,0.00239066,0.00006998009,0.00123719,0.00006863307,0.000317476,0.008075763,0.00001588845,0.0005967634],"genre_scores_gemma":[0.9934705,0.0004668301,0.002036031,0.001646189,0.00007173702,0.000009004766,0.00218194,0.00003059689,0.00008715285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9547141,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04946996193849734,"score_gpt":0.2341740800703158,"score_spread":0.1847041181318185,"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."}}