{"id":"W4401342164","doi":"10.1017/ash.2024.347","title":"Utility of hybrid whole genome sequencing in assessing potential nosocomial VIM transmission","year":2024,"lang":"en","type":"article","venue":"Antimicrobial Stewardship & Healthcare Epidemiology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Health Sciences Centre; North York General Hospital; Sunnybrook Health Science Centre; Dalhousie University","funders":"","keywords":"Whole genome sequencing; Transmission (telecommunications); Biology; Genome; Outbreak; DNA sequencing; Genomic sequencing; Computational biology; Genetics; Computer science; Gene; Virology; Telecommunications","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":[0.001090294,0.0004616318,0.0003670531,0.001186102,0.0002970344,0.0009566589,0.0002996529,0.0008750019,0.0007723542],"category_scores_gemma":[0.002769248,0.0002172507,0.0002928307,0.0008992262,0.0003529802,0.0003058413,0.0007087407,0.0005103112,0.0002157693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678725,"about_ca_system_score_gemma":0.0002127536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362574,"about_ca_topic_score_gemma":0.002773359,"domain_scores_codex":[0.9991305,0.0003178105,0.00003982123,0.0002448256,0.0001830254,0.00008394622],"domain_scores_gemma":[0.9980353,0.001211306,0.0002550143,0.0001543895,0.0002544579,0.00008966639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0011393,0.0002513264,0.2933678,0.000242685,0.0005150408,0.0009878287,0.001012229,0.005632489,0.6455474,0.001516818,0.0003361783,0.0494508],"study_design_scores_gemma":[0.00006211117,0.003011382,0.6534074,0.0001279565,0.0007137728,0.007856561,0.002324934,0.05320999,0.2652897,0.005635109,0.008211969,0.0001491616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584808,0.0005334964,0.03684236,0.00009846957,0.00002679261,0.0001008321,0.001289381,0.0001843764,0.002443585],"genre_scores_gemma":[0.9749848,0.000167672,0.02339924,0.0001301553,0.000006325927,0.00004895251,0.0008238417,0.00002788236,0.0004111765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362574,"threshold_uncertainty_score":0.005766034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848380219564639,"score_gpt":0.335871807048543,"score_spread":0.2973880048528966,"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."}}