{"id":"W4387033262","doi":"10.1128/spectrum.01904-23","title":"Proteasome inhibition as a therapeutic target for the fungal pathogen <i>Cryptococcus neoformans</i>","year":2023,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; University of California, San Francisco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Institutes of Health; Yonsei University; Government of Canada; Canadian Institute for Advanced Research","keywords":"Cryptococcus neoformans; Fungal pathogen; Pathogen; Microbiology; Cryptococcosis; Cryptococcus; Biology; Proteasome; Antifungal; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857215,0.0001650392,0.0002432226,0.0001032201,0.0004392596,0.00001546399,0.00006194878,0.0001215061,0.000157925],"category_scores_gemma":[0.0000375993,0.0001011917,0.0001688296,0.0003027802,0.0001587409,0.00003436287,0.00005778604,0.0002061858,0.0005660739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005478497,"about_ca_system_score_gemma":0.00005914364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002260933,"about_ca_topic_score_gemma":0.00002837773,"domain_scores_codex":[0.9990304,0.00003784437,0.0001996546,0.000246018,0.00003735031,0.0004487644],"domain_scores_gemma":[0.9994998,0.0001331235,0.00005552812,0.0002252919,0.00004738359,0.00003889991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003120033,0.00009853695,0.004500313,0.00006330427,0.0003078323,0.00002825479,0.000343304,0.00001394144,0.9680469,0.002988423,0.0223935,0.0009036689],"study_design_scores_gemma":[0.003252788,0.003289134,0.02131425,0.00006876499,0.0002794915,0.001054972,0.0006266518,0.0002511785,0.1356467,0.008810773,0.8249966,0.0004086471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389364,0.002457367,0.001723761,0.04451931,0.001503272,0.006121,0.0004264115,0.0006964423,0.003616096],"genre_scores_gemma":[0.9913008,0.0002163806,0.0001619753,0.002622294,0.0005222078,0.001058516,0.0002706529,0.00003541462,0.003811778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324002,"threshold_uncertainty_score":0.7275923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751435740643742,"score_gpt":0.271723653139561,"score_spread":0.2542092957331236,"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."}}