{"id":"W2105247266","doi":"10.1038/msb4100159","title":"Ubiquitination screen using protein microarrays for comprehensive identification of Rsp5 substrates in yeast","year":2007,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children","keywords":"Biology; Identification (biology); Yeast; Computational biology; DNA microarray; Saccharomyces cerevisiae; Protein microarray; Proteomics; Protein Array Analysis; Genetics; Bioinformatics; Gene; Gene expression; Ecology","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":[0.0006650088,0.0001546786,0.0002354151,0.0001441395,0.0000414802,0.00001371875,0.000166915,0.0002772689,0.000001282079],"category_scores_gemma":[0.00007974212,0.0001626604,0.00008584074,0.0001344749,0.00009583832,0.000004197532,0.0000432102,0.00006324964,0.000002064902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002774617,"about_ca_system_score_gemma":0.0000569321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698016,"about_ca_topic_score_gemma":0.00004685209,"domain_scores_codex":[0.998571,0.0001506839,0.0005579047,0.0003554358,0.00007148344,0.0002934461],"domain_scores_gemma":[0.9991038,0.00001457362,0.0003086442,0.0002580881,0.0002703498,0.00004451329],"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":[0.0001068754,0.00004067703,0.001047095,0.0001263152,0.00002992125,0.000002545322,0.00003829098,0.0001131035,0.9958908,0.002153995,0.000008615181,0.000441773],"study_design_scores_gemma":[0.0005904855,0.0002201128,0.001129756,0.00005207603,0.000009723471,0.00001730488,0.0001723065,0.0005802184,0.9960355,0.0001140232,0.0009116271,0.000166909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757051,0.001303048,0.1214657,0.0000149729,0.0001219187,0.001153693,0.0001008743,0.00001150705,0.0001231933],"genre_scores_gemma":[0.9979923,0.000005898048,0.001323634,0.00002731838,0.00009922704,0.00007829484,0.0004146012,0.00002383655,0.00003482394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1222872,"threshold_uncertainty_score":0.6633099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094897998256246,"score_gpt":0.2992082674405601,"score_spread":0.2682592874579976,"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."}}