{"id":"W4406154248","doi":"10.1128/msystems.01413-24","title":"Targeted sequencing of <i>Enterobacterales</i> bacteria using CRISPR-Cas9 enrichment and Oxford Nanopore Technologies","year":2025,"lang":"en","type":"article","venue":"mSystems","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Australian Research Data Commons; Bill and Melinda Gates Foundation","keywords":"CRISPR; Nanopore sequencing; Minion; Multilocus sequence typing; Biology; Klebsiella pneumoniae; DNA sequencing; Gene; Locus (genetics); Cas9; Genetics; Metagenomics; Computational biology; Plasmid; Illumina dye sequencing; Escherichia coli; Genotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003506366,0.0004704655,0.000470184,0.0003508946,0.0002698581,0.0005786794,0.0004144562,0.0004424352,0.0009242587],"category_scores_gemma":[0.0007479581,0.0003185567,0.0004478449,0.00024701,0.0003066881,0.0003598798,0.0006805297,0.0004871452,0.0005712833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437402,"about_ca_system_score_gemma":0.0003619348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807155,"about_ca_topic_score_gemma":0.003186716,"domain_scores_codex":[0.9994202,0.00007632602,0.00005927639,0.0001805014,0.0001912889,0.00007238147],"domain_scores_gemma":[0.9994335,0.0001558511,0.0001325478,0.00007979522,0.00012704,0.0000712553],"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":[0.00005630831,0.0000114894,0.0008185169,0.00006720892,0.00001436193,0.00004049018,0.00002598341,0.0007305485,0.9946259,0.0001017388,0.00009431189,0.003413139],"study_design_scores_gemma":[0.000004333909,0.00007979229,0.004413592,0.00001260766,0.00001660844,0.0001676439,0.00002822874,0.0062744,0.9867734,0.00008002694,0.002129379,0.00001998383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7986339,0.0009575269,0.1890957,0.0001804405,0.00006908028,0.0001873225,0.004861661,0.00227191,0.003742425],"genre_scores_gemma":[0.7629434,0.0005608723,0.2286712,0.0002328347,0.00001473178,0.0002452728,0.004227896,0.0003106283,0.002793095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807155,"threshold_uncertainty_score":0.003593266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405032634392817,"score_gpt":0.2998692965237712,"score_spread":0.275818970179843,"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."}}