{"id":"W4318567405","doi":"10.1101/2023.01.30.526212","title":"Coregulation of extracellular vesicle production and fluconazole susceptibility in <i>Cryptococcus neoformans</i>","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"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; Biology; Extracellular; Antifungal drug; Microbiology; Fluconazole; Extracellular vesicle; Cell biology; Intracellular; Drug resistance; Ergosterol; Azole; Pathogen; Biogenesis; Gene; Microvesicles; Antifungal; Genetics; 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":[0.00008866583,0.0002201863,0.0001604188,0.000225543,0.0001199642,0.0002836123,0.0001015127,0.0002276071,0.0005289188],"category_scores_gemma":[0.0001533682,0.00008596482,0.0001395503,0.0001260908,0.0001976995,0.00009604689,0.0001526355,0.0003179116,0.0001247029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004615913,"about_ca_system_score_gemma":0.0001408854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306663,"about_ca_topic_score_gemma":0.001388754,"domain_scores_codex":[0.9998648,0.00001688041,0.00001350836,0.00003361802,0.00002799093,0.00004313471],"domain_scores_gemma":[0.9998794,0.00002059457,0.00004565285,0.00001012935,0.00001521359,0.00002904452],"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":[0.0001399119,0.00002050071,0.0008073616,0.000009869818,0.000002212966,0.0000364242,0.000007879727,0.00002859415,0.998314,0.00001480381,0.00001950605,0.0005988763],"study_design_scores_gemma":[0.000009773195,0.000339502,0.06943762,0.00000475702,0.00001082846,0.0003171504,0.00005493993,0.0009478783,0.9282674,0.00002490516,0.0005793209,0.00000590013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986814,0.0001966283,0.0002980201,0.00004030748,0.000006077151,0.00001360612,0.000363857,0.00002732334,0.0003727326],"genre_scores_gemma":[0.998995,0.0000557165,0.0003304179,0.00003143162,0.000002173073,0.00001217761,0.0002820097,0.000004774595,0.0002863272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002306663,"threshold_uncertainty_score":0.004586399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319184884334077,"score_gpt":0.2434381082141152,"score_spread":0.2202462593707744,"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."}}