{"id":"W7100098767","doi":"","title":"Wild-Type MIC Distributions and Epidemiological Cutoff Values","year":2011,"lang":"en","type":"article","venue":"","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cutoff; Aspergillus terreus; Population; Epidemiology; Amphotericin B; Aspergillus niger","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003173684,0.0005445939,0.0006262336,0.001265725,0.0001955979,0.0007313273,0.0005488074,0.0004634641,0.001331817],"category_scores_gemma":[0.007933152,0.0001564253,0.0003043103,0.0008510132,0.0004521889,0.0003885549,0.0003821739,0.0006386127,0.0005020431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007349888,"about_ca_system_score_gemma":0.000532512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005067823,"about_ca_topic_score_gemma":0.004469377,"domain_scores_codex":[0.9970284,0.0005763529,0.0006272469,0.0005252332,0.0009716564,0.0002711941],"domain_scores_gemma":[0.9957547,0.001107029,0.0006799577,0.0007235365,0.001549233,0.000185655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004980813,0.001127294,0.6470487,0.0003473382,0.0002572065,0.0005467713,0.0006603956,0.01264639,0.2778185,0.003197294,0.002687566,0.0486817],"study_design_scores_gemma":[0.0001348892,0.003024126,0.7959527,0.00005225408,0.0001407204,0.002658149,0.0005070407,0.0199169,0.1662594,0.001535914,0.00971393,0.0001040835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9708769,0.000449172,0.01586346,0.00005646766,0.00001717262,0.0002604057,0.008500365,0.0002218943,0.003754344],"genre_scores_gemma":[0.9759458,0.0001287418,0.01224263,0.00004199523,0.000004409841,0.0002191564,0.0108169,0.00004187614,0.0005585152],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005067823,"threshold_uncertainty_score":0.01678419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08560164510137452,"score_gpt":0.3241055235506536,"score_spread":0.2385038784492791,"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."}}