{"id":"W2036809140","doi":"10.1371/journal.pone.0036021","title":"Identification and Characterization of Antifungal Compounds Using a Saccharomyces cerevisiae Reporter Bioassay","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Bioassay; Candida albicans; Saccharomyces cerevisiae; Biology; Cryptococcus neoformans; Aspergillus fumigatus; Microbiology; Candida glabrata; Antifungal drug; Magnaporthe grisea; Cryptococcus gattii; Fungal protein; Fluconazole; Corpus albicans; Biochemistry; Yeast; Antifungal; Gene; 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":[0.0002479442,0.00007209418,0.0002197471,0.0000727512,0.00003896036,0.00001624769,0.00002415243,0.00005315525,0.00007356215],"category_scores_gemma":[0.00007602671,0.00005706732,0.00002378387,0.0001128761,0.00004354146,0.0001938566,0.00002014436,0.00005003472,0.000003769817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001551947,"about_ca_system_score_gemma":0.00001124756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009071615,"about_ca_topic_score_gemma":2.493239e-7,"domain_scores_codex":[0.9993121,0.0000248427,0.0002704381,0.00013456,0.000146679,0.0001113724],"domain_scores_gemma":[0.9994498,0.00001167095,0.0002098573,0.0001599921,0.0001176851,0.00005102835],"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":[0.00003087523,0.0004251452,0.05109622,0.0003397516,0.00008458861,5.597616e-7,0.00008367924,1.643771e-9,0.9473744,0.00001389662,0.00001936832,0.0005315129],"study_design_scores_gemma":[0.0001158214,0.00002358614,0.14918,0.0002397184,0.0002566681,0.0000199639,0.00001007423,0.00004919548,0.8499612,0.000002192641,0.0000836343,0.00005804285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987841,0.0002584663,0.00001729945,0.0005589881,0.00004931709,0.0002441792,0.00001502488,0.00001807868,0.00005457466],"genre_scores_gemma":[0.9985013,0.0001074601,0.0007493133,0.00005352199,0.0002599717,4.199134e-7,0.00005103485,0.000009814319,0.000267149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09808375,"threshold_uncertainty_score":0.2327138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05487261025402092,"score_gpt":0.2552578310332759,"score_spread":0.200385220779255,"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."}}