{"id":"W2160179793","doi":"10.1128/aac.02020-13","title":"Multicenter Study of Anidulafungin and Micafungin MIC Distributions and Epidemiological Cutoff Values for Eight Candida Species and the CLSI M27-A3 Broth Microdilution Method","year":2013,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; University of Alberta","funders":"Centers for Disease Control and Prevention; Astellas Pharma; Gilead Sciences","keywords":"Anidulafungin; Micafungin; Broth microdilution; Candida dubliniensis; Microbiology; Candida glabrata; Candida parapsilosis; Biology; Candida albicans; Corpus albicans; Medicine; Minimum inhibitory concentration; Antimicrobial; Fluconazole; Antifungal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003032279,0.0004882346,0.0004358156,0.000625595,0.0003850084,0.0005916328,0.0004248957,0.0004391895,0.0004352165],"category_scores_gemma":[0.004273091,0.0002388182,0.0003009542,0.0007157926,0.0002844973,0.0003508518,0.0003152168,0.0005766705,0.0001658165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964093,"about_ca_system_score_gemma":0.000457986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003490645,"about_ca_topic_score_gemma":0.001777498,"domain_scores_codex":[0.9979025,0.0006536385,0.0001483966,0.0006628544,0.0004349345,0.0001977777],"domain_scores_gemma":[0.9972882,0.0005014648,0.0006606329,0.000409014,0.0007420824,0.000398516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002137476,0.0005260353,0.9763442,0.00002127205,0.0001255946,0.0002273138,0.0003035095,0.0002829381,0.01049387,0.0001011259,0.0002835737,0.009153095],"study_design_scores_gemma":[0.00009363613,0.001715384,0.9929954,0.000006825735,0.0000553424,0.0007169005,0.00017257,0.001011703,0.002643167,0.00002971495,0.0005477749,0.00001158399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987409,0.0001058998,0.000469311,0.00001575194,0.000004446081,0.00003335795,0.0003590743,0.00001102898,0.0002602119],"genre_scores_gemma":[0.9986753,0.00003923382,0.0005441221,0.00002344743,0.000006832839,0.00002059507,0.0005969711,0.000006798869,0.0000866503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003490645,"threshold_uncertainty_score":0.01603645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004726233425094,"score_gpt":0.3042022268768635,"score_spread":0.2841549645426126,"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."}}