{"id":"W2104262114","doi":"10.1093/nar/gkr993","title":"YeTFaSCo: a database of evaluated yeast transcription factor sequence specificities","year":2011,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Sequence motif; Saccharomyces cerevisiae; Motif (music); Compendium; Computational biology; Genome; Transcription factor; Genetics; Yeast; Genome browser; Gene; DNA binding site; DNA sequencing; Database; Genomics; Promoter; Gene expression; Computer science","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":[0.0009023421,0.003029273,0.001784757,0.005669236,0.0005888902,0.001321724,0.001606601,0.0008804166,0.01214886],"category_scores_gemma":[0.002756884,0.0007978433,0.001217438,0.005534734,0.0002038938,0.001052576,0.001213138,0.000754949,0.0101799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006968377,"about_ca_system_score_gemma":0.001510672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880254,"about_ca_topic_score_gemma":0.00754633,"domain_scores_codex":[0.999382,0.0000722878,0.0001532942,0.0001527813,0.0001778454,0.00006172746],"domain_scores_gemma":[0.9987752,0.0003558463,0.0002051731,0.0002300667,0.0002777724,0.0001559652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005774268,0.0004813038,0.06063741,0.01609819,0.00136445,0.00223941,0.0006519714,0.01365981,0.1973413,0.007211365,0.3966582,0.2978823],"study_design_scores_gemma":[0.0007033922,0.0004782334,0.05832086,0.0006650133,0.0006370121,0.002579962,0.0002936188,0.01465403,0.06652284,0.006625398,0.848096,0.0004236538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04453705,0.003603032,0.01786271,0.00006698631,0.00006818163,0.0001888979,0.9014185,0.0268678,0.005386793],"genre_scores_gemma":[0.02629336,0.001227292,0.02732635,0.0000678963,0.00001183209,0.0003359485,0.9421561,0.001596701,0.0009844834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01214886,"threshold_uncertainty_score":0.04064196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2132375829066934,"score_gpt":0.3782155266855454,"score_spread":0.1649779437788519,"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."}}