{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094562,0.00103018,0.001094683,0.001456813,0.0002589658,0.0006385801,0.0004495727,0.0004475543,0.00112725],"category_scores_gemma":[0.0004823883,0.0002824555,0.0006916328,0.001386888,0.0001926925,0.0002891231,0.0003300555,0.0006464213,0.0006830319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113443,"about_ca_system_score_gemma":0.0005805909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463515,"about_ca_topic_score_gemma":0.00233455,"domain_scores_codex":[0.9994175,0.00007223138,0.00009758359,0.00008633742,0.0002826026,0.00004377864],"domain_scores_gemma":[0.9996006,0.0001136923,0.00006343336,0.00004814727,0.0001215401,0.00005264455],"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":[0.00006162321,0.00009713849,0.0004061807,0.00005308424,0.0000108438,0.00004426101,0.00001149504,0.0002158162,0.9965152,0.00003477149,0.00005656989,0.002493051],"study_design_scores_gemma":[0.00001888657,0.0005742921,0.00326616,0.000009684014,0.00004635577,0.0001430067,0.00003576277,0.001163333,0.9924872,0.00003353225,0.002208655,0.00001303127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943998,0.006324251,0.07363123,0.0005436007,0.0001131028,0.001145243,0.01783264,0.001671548,0.004338489],"genre_scores_gemma":[0.8969964,0.006143373,0.06860641,0.0002372897,0.00004024832,0.000821585,0.02239412,0.0002132546,0.004547271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463515,"threshold_uncertainty_score":0.003771007,"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."}}