{"id":"W10925699","doi":"","title":"Yeast genomics and proteomics in drug discovery and target validation.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drug discovery; Computational biology; Proteomics; Saccharomyces cerevisiae; Budding yeast; Yeast; Identification (biology); Genomics; Chemical genetics; Functional genomics; Drug development; Biology; Drug target; Bioinformatics; Drug; Genetics; Genome; Biochemistry; Small molecule; Gene; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002474904,0.00007988258,0.00007840888,0.00002314969,0.0000305243,0.00005531668,0.00004362459,0.00006356263,9.034698e-7],"category_scores_gemma":[0.00002695116,0.00007698248,0.00001454057,0.0000316262,0.00004287316,0.00000805767,0.00005075497,0.00005460859,5.289311e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000104077,"about_ca_system_score_gemma":0.00002008461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006556103,"about_ca_topic_score_gemma":0.00001626378,"domain_scores_codex":[0.9994887,0.00002087788,0.0001353629,0.0001439166,0.00003196887,0.0001792264],"domain_scores_gemma":[0.9997756,0.000003670843,0.00004176107,0.0001130856,0.000009451721,0.00005644173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00107659,0.0009207693,0.4265915,0.0009857101,0.0007801055,0.0000349037,0.004330641,0.004802748,0.1569146,0.05871298,0.0241389,0.3207105],"study_design_scores_gemma":[0.006141667,0.0001192868,0.3094713,0.00002779115,0.00006119593,0.0001630166,0.0009324312,0.001451308,0.3393543,0.01873703,0.3216888,0.001851814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950032,0.0007307247,0.001724075,0.00006584859,0.00006986573,0.0004241452,0.00001408168,0.000002747864,0.001965319],"genre_scores_gemma":[0.9963084,0.0003158297,0.002401425,0.000138521,0.00005142664,0.0001544577,0.00003133125,0.000009647936,0.0005889604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3188587,"threshold_uncertainty_score":0.3139254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005895093471814216,"score_gpt":0.1767366164631365,"score_spread":0.1708415229913222,"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."}}