{"id":"W2105694586","doi":"10.1038/nature12311","title":"A compendium of RNA-binding motifs for decoding gene regulation","year":2013,"lang":"en","type":"article","venue":"Nature","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1636,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institutes of Health; National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"RNA; Biology; RNA-binding protein; Computational biology; Genetics; Gene; RNA editing; Gene expression; Riboswitch; Non-coding RNA","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":[0.00195198,0.001709449,0.001616955,0.001930534,0.00099481,0.002743691,0.002002323,0.001302733,0.004654311],"category_scores_gemma":[0.005444297,0.001420977,0.0009079592,0.001807416,0.001207867,0.003673059,0.001297884,0.003465264,0.003522583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031723,"about_ca_system_score_gemma":0.001429584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124982,"about_ca_topic_score_gemma":0.002086774,"domain_scores_codex":[0.9993756,0.0001048313,0.0001399544,0.0001510692,0.0001774913,0.00005101361],"domain_scores_gemma":[0.9970812,0.001351651,0.0001622675,0.0007183969,0.0005473642,0.0001390616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003520823,0.00007882501,0.0004521403,0.002332333,0.0001024533,0.0002995964,0.0003491019,0.009281845,0.1679024,0.09172249,0.02399952,0.7031272],"study_design_scores_gemma":[0.00004473995,0.0002296201,0.0007685846,0.0008326489,0.0002121314,0.001089662,0.0001301999,0.02699446,0.1365051,0.1185126,0.7144743,0.0002058087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01884368,0.08462878,0.8597425,0.004794414,0.003429535,0.0002088472,0.003107746,0.005476239,0.01976824],"genre_scores_gemma":[0.05043465,0.06106119,0.8677714,0.001824208,0.001479399,0.0004375396,0.005252032,0.002178112,0.009561369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004654311,"threshold_uncertainty_score":0.01557022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008770279666730925,"score_gpt":0.2460237610615488,"score_spread":0.2372534813948179,"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."}}