{"id":"W4380422222","doi":"10.1128/mbio.00870-23","title":"Coregulation of extracellular vesicle production and fluconazole susceptibility in <i>Cryptococcus neoformans</i>","year":2023,"lang":"en","type":"article","venue":"mBio","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre Hospitalier Régional Universitaire de Montpellier; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Agence Nationale de la Recherche; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Advanced Research","keywords":"Cryptococcus neoformans; Efflux; Extracellular; Biology; Antifungal drug; Microbiology; Cell biology; Extracellular vesicle; Fluconazole; Intracellular; Drug resistance; Biogenesis; Ergosterol; Pathogen; Microvesicles; Gene; Genetics; Antifungal; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00008953374,0.0002235864,0.0001635807,0.0002308305,0.0001215998,0.0002837638,0.000102205,0.0002317269,0.0005228751],"category_scores_gemma":[0.000155112,0.00008560619,0.0001413599,0.000129203,0.0002004824,0.00009767414,0.0001543161,0.0003171249,0.0001235903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657293,"about_ca_system_score_gemma":0.0001432082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274974,"about_ca_topic_score_gemma":0.001362773,"domain_scores_codex":[0.9998624,0.00001726591,0.00001372354,0.00003421336,0.00002823516,0.00004405782],"domain_scores_gemma":[0.9998783,0.00002042577,0.00004620548,0.00001009869,0.00001531439,0.00002965451],"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":[0.0001460387,0.00002082146,0.0008183385,0.00001008276,0.000002268253,0.00003658873,0.000007880432,0.0000285515,0.9982844,0.00001483047,0.00001973409,0.0006103888],"study_design_scores_gemma":[0.00001035797,0.0003490543,0.07086599,0.000004873755,0.00001123366,0.0003205231,0.00005589854,0.0009543061,0.9268098,0.00002557211,0.0005862216,0.000006097775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986898,0.0002032977,0.000297812,0.00004031025,0.000006191618,0.00001364632,0.0003561352,0.00002746766,0.0003652541],"genre_scores_gemma":[0.9990059,0.00005734318,0.000334651,0.00003239942,0.000002229758,0.0000124013,0.0002786905,0.000004855676,0.000271691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002274974,"threshold_uncertainty_score":0.004523516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096366085312345,"score_gpt":0.2708476652836446,"score_spread":0.2498840044305212,"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."}}