{"id":"W1900337607","doi":"10.1093/nar/gkv1176","title":"JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1059,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Medical Research Council; Novo Nordisk Fonden; Natural Sciences and Engineering Research Council of Canada; Universität Zürich; BC Children's Hospital; Children's Hospital Foundation; Agence Nationale de la Recherche; Child and Family Research Institute; Canadian Institutes of Health Research; China Scholarship Council; Genome Canada","keywords":"Biology; Transcription factor; Database; DNA binding site; Computational biology; Genetics; Computer science; Gene; Promoter; Gene expression","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":[0.006268078,0.002982168,0.00258493,0.005802108,0.00108453,0.003581812,0.004375547,0.001422241,0.0202811],"category_scores_gemma":[0.01232501,0.002181262,0.002758291,0.006802488,0.0006093796,0.003950839,0.004776795,0.004442926,0.04188661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009118554,"about_ca_system_score_gemma":0.003400543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244297,"about_ca_topic_score_gemma":0.004141749,"domain_scores_codex":[0.9964687,0.0003788715,0.0006421804,0.0008026034,0.001329998,0.0003777492],"domain_scores_gemma":[0.9929904,0.001314095,0.0008154443,0.001946147,0.00175385,0.00118011],"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":[0.004148395,0.0002508965,0.006377856,0.002880999,0.0004452198,0.0005478399,0.0005225182,0.001200406,0.07052846,0.003455532,0.7591237,0.1505182],"study_design_scores_gemma":[0.0002300049,0.0001302594,0.00963262,0.0003075285,0.0002235701,0.0005175844,0.00006833515,0.002354475,0.01754804,0.002297472,0.966432,0.0002579807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01892693,0.004197287,0.05976349,0.001912641,0.002395183,0.0003139529,0.7160973,0.1866917,0.009701512],"genre_scores_gemma":[0.007016586,0.001518368,0.0442855,0.000613339,0.0003022396,0.0002977763,0.914438,0.02602836,0.005499797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9956244,"threshold_uncertainty_score":0.06784707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239188975038907,"score_gpt":0.3851422703527098,"score_spread":0.2612233728488191,"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."}}