{"id":"W2606308655","doi":"10.1128/jcm.00254-17","title":"Antifungal Susceptibility Testing of Aspergillus spp. by Using a Composite Correlation Index (CCI)-Based Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry Method Appears To Not Offer Benefit over Traditional Broth Microdilution Testing","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; University Health Network","funders":"","keywords":"Voriconazole; Aspergillus fumigatus; Aspergillus; Microbiology; Broth microdilution; Matrix-assisted laser desorption/ionization; Biology; Mass spectrometry; Chromatography; Chemistry; Antifungal; Minimum inhibitory concentration; Desorption; Antibiotics","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":[0.002116981,0.0008264226,0.0007206848,0.001066138,0.0002609421,0.00079817,0.0004429811,0.0006356419,0.001206365],"category_scores_gemma":[0.003061712,0.000201213,0.0004107947,0.0008227281,0.000368267,0.0004463273,0.0003399033,0.0006171553,0.0006443506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155512,"about_ca_system_score_gemma":0.0003422858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006529543,"about_ca_topic_score_gemma":0.001556292,"domain_scores_codex":[0.9965138,0.0009566945,0.0004390392,0.0005159041,0.001462697,0.0001118228],"domain_scores_gemma":[0.9972278,0.001136164,0.0005336785,0.0002023729,0.0007384357,0.0001614344],"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":[0.0004626353,0.0003841041,0.03050146,0.0001844645,0.00006029441,0.0001161589,0.00005077832,0.0001135185,0.9480056,0.00009655091,0.0002598522,0.01976457],"study_design_scores_gemma":[0.00002759941,0.002296486,0.08190254,0.0000371743,0.00013225,0.001728128,0.0001303376,0.005214568,0.9058239,0.0001389766,0.002523978,0.00004390013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230946,0.005630762,0.06282012,0.0006309442,0.0003496598,0.0005185327,0.002007902,0.0008183757,0.004129081],"genre_scores_gemma":[0.9176371,0.001265618,0.0778824,0.0002358338,0.00006957923,0.0001425276,0.001061504,0.00004314311,0.00166233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002116981,"threshold_uncertainty_score":0.01119578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08806901252621253,"score_gpt":0.3779008619589548,"score_spread":0.2898318494327423,"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."}}