{"id":"W2967573308","doi":"10.1128/jcm.00884-19","title":"Identification of Candida auris by Use of the Updated Vitek 2 Yeast Identification System, Version 8.01: a Multilaboratory Evaluation Study","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Centre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-Montréal; Institut National de Santé Publique du Québec; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital Maisonneuve-Rosemont; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Candida auris; Biology; Microbiology; Clinical microbiology; Clade; Identification (biology); Yeast; Candida tropicalis; Antifungal; Genetics; Phylogenetics; Gene; Ecology","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":[0.009317189,0.0009800387,0.001129436,0.001862876,0.0004278708,0.001242675,0.0008372504,0.000826978,0.001215575],"category_scores_gemma":[0.01009421,0.0003089142,0.0007410135,0.001200989,0.0007109976,0.0009033026,0.001197661,0.0006257155,0.000769514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776694,"about_ca_system_score_gemma":0.0005105693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162434,"about_ca_topic_score_gemma":0.001262954,"domain_scores_codex":[0.985521,0.004593981,0.002260091,0.001760901,0.005281975,0.0005820043],"domain_scores_gemma":[0.9920793,0.001776331,0.001274042,0.0005560739,0.003819597,0.0004946491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02056784,0.005111289,0.5912892,0.001244682,0.0008959883,0.002143941,0.001483278,0.001878446,0.2650664,0.0002751225,0.00121414,0.1088297],"study_design_scores_gemma":[0.0007351266,0.04557873,0.7383739,0.0001411427,0.0015307,0.01003446,0.0006597555,0.01251268,0.1808963,0.0001044324,0.009222426,0.0002104304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911152,0.002651639,0.00295893,0.00008484646,0.0000591296,0.0005532615,0.000690277,0.00004603437,0.001840762],"genre_scores_gemma":[0.992482,0.00064526,0.004631824,0.00008634368,0.0000449091,0.0001227541,0.001438335,0.00003251342,0.0005159976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009317189,"threshold_uncertainty_score":0.04927462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031564771216842,"score_gpt":0.3752044278056694,"score_spread":0.334888780093501,"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."}}