{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002262458,0.00004899919,0.000118851,0.00008023559,0.0000422297,0.000003157047,0.00001054054,0.00003210993,0.00001971635],"category_scores_gemma":[0.00006950257,0.00004327148,0.0000210588,0.0002899214,0.00006136635,0.00005657342,0.00001857316,0.00005518378,0.00001313915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002700499,"about_ca_system_score_gemma":0.00001216199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000880663,"about_ca_topic_score_gemma":0.000108029,"domain_scores_codex":[0.9995422,0.00001244641,0.0001548167,0.000123455,0.0000707878,0.00009624202],"domain_scores_gemma":[0.9997749,0.00001538154,0.00002904504,0.0001145533,0.00004511055,0.00002096021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007013771,0.0001072635,0.6633798,0.0001575783,0.00001214548,0.000003621451,0.0006026241,0.00005123581,0.3296278,0.000295531,0.001164277,0.00452795],"study_design_scores_gemma":[0.0003477598,0.0001271574,0.9538736,0.00004381629,0.00001251941,0.000005138686,0.0003168338,0.0007745594,0.04328683,0.0002543567,0.0009130412,0.00004440889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983701,0.0001981039,0.00001472872,0.0004106939,0.0001215566,0.0002885667,0.000002184003,0.00004233831,0.000551735],"genre_scores_gemma":[0.9991122,0.00006023495,0.0000618626,0.000009954576,0.00004378536,0.00001448582,0.00001081988,0.000004496107,0.0006820852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2904938,"threshold_uncertainty_score":0.176456,"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."}}