{"id":"W4296177167","doi":"10.1016/j.anaerobe.2022.102640","title":"Multi-year comparison of VITEK® MS and 16S rRNA gene sequencing performance for the identification of rarely encountered anaerobes causing invasive human infections in a large Canadian region: can our laboratory abandon 16S rRNA gene sequencing?","year":2022,"lang":"en","type":"article","venue":"Anaerobe","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"16S ribosomal RNA; Biology; Microbiology; Bacilli; Anaerobic bacteria; Clinical microbiology; Anaerobic exercise; Ribosomal RNA; Gram-Positive Cocci; Metagenomics; Bacteria; Gene; Genetics; Staphylococcus aureus; Physiology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006754526,0.0001416516,0.0002213781,0.0001589202,0.000510275,0.00003785974,0.0001691537,0.00008744844,0.000005968933],"category_scores_gemma":[0.0002289283,0.000148516,0.0000600255,0.0002943637,0.00006586812,0.00002274012,0.00008405863,0.0001458791,2.119269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538307,"about_ca_system_score_gemma":0.0005092872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03344755,"about_ca_topic_score_gemma":0.2471317,"domain_scores_codex":[0.9985697,0.0001406898,0.0005814671,0.0003450143,0.0001179218,0.0002452252],"domain_scores_gemma":[0.9988254,0.00002992788,0.0004046893,0.0003903968,0.0002773784,0.00007220898],"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":[0.00001951993,0.00004592866,0.1050087,0.00005641646,0.00003191591,0.000001561417,0.001270115,0.0007281927,0.8926511,0.00002270952,0.00009452488,0.0000692855],"study_design_scores_gemma":[0.0014639,0.0003283325,0.1479234,0.00006127763,0.00006758524,0.00002464424,0.006507939,0.004147214,0.838668,0.00001117024,0.0004765241,0.0003200373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982728,0.0003880216,0.0003196866,0.0001058285,0.0001807451,0.00047406,0.0002407198,0.000009407398,0.000008762046],"genre_scores_gemma":[0.9989222,0.0001120761,0.0003258881,0.0000831077,0.00006794232,0.00007753931,0.0003399846,0.00002091159,0.00005030278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2136842,"threshold_uncertainty_score":0.9729888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951692836737112,"score_gpt":0.2883126145046886,"score_spread":0.2487956861373175,"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."}}