{"id":"W4388667244","doi":"10.1093/nar/gkad1059","title":"JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1043,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Universitetet i Oslo; Norges Forskningsråd; Agence Nationale de la Recherche; Wellcome Trust; Novo Nordisk; Kreftforeningen; Helse Sør-Øst RHF; Novo Nordisk Fonden; Kræftens Bekæmpelse","keywords":"Biology; Transcription factor; DNA binding site; Computational biology; Transcription (linguistics); Genetics; Database; Promoter; Gene; 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003783615,0.001719348,0.001841417,0.004748592,0.00119095,0.005901734,0.002649748,0.00167048,0.05228771],"category_scores_gemma":[0.009341409,0.001412609,0.001361057,0.004167956,0.0005329209,0.004542104,0.005493657,0.003627192,0.07131526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145947,"about_ca_system_score_gemma":0.002745413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004014775,"about_ca_topic_score_gemma":0.005100851,"domain_scores_codex":[0.9980618,0.0001865703,0.0001691246,0.0003543094,0.0009407843,0.0002874844],"domain_scores_gemma":[0.9944853,0.000600252,0.000556225,0.001111404,0.001838722,0.001408085],"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":[0.0005510391,0.00003545008,0.001094055,0.0005775933,0.00006974344,0.0002131188,0.0001128758,0.0003210919,0.008153905,0.00252955,0.9143044,0.07203725],"study_design_scores_gemma":[0.00002242353,0.00003058646,0.001683675,0.00008547636,0.00003329817,0.0001421187,0.00001652477,0.0003013213,0.00175031,0.001123765,0.9947674,0.00004311302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01627106,0.01359786,0.05748887,0.01127347,0.02120971,0.0003202328,0.7146525,0.1079313,0.05725491],"genre_scores_gemma":[0.0117876,0.005878707,0.04699855,0.003147413,0.00308416,0.0003800416,0.8527244,0.02714607,0.04885309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9973503,"threshold_uncertainty_score":0.1749198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118856686822317,"score_gpt":0.4000876850288127,"score_spread":0.288202016346581,"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."}}