{"id":"W1995224771","doi":"10.1093/nar/gkq1069","title":"RBPDB: a database of RNA-binding specificities","year":2010,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":702,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"Biology; RNA; RNA-binding protein; Binding site; Computational biology; Immunoprecipitation; Database; Genetics; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001518364,0.0001114186,0.0001434767,0.0002144575,0.0002017284,0.00005469265,0.0005846137,0.0001532853,0.0004289715],"category_scores_gemma":[0.0007295222,0.0001010009,0.00007523441,0.0002799834,0.0004978278,0.000009637532,0.0004977582,0.0006648612,0.0001056577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382211,"about_ca_system_score_gemma":0.000176621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001199422,"about_ca_topic_score_gemma":0.0001014062,"domain_scores_codex":[0.9980111,0.0001253593,0.0002070625,0.0003577471,0.0006839339,0.0006148226],"domain_scores_gemma":[0.9986266,0.00006614675,0.00003618268,0.0007396123,0.0003277885,0.0002036882],"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":[0.0001195631,0.00005543644,0.002830515,0.00004239403,0.00002112177,0.00001197244,0.00004650066,7.272515e-7,0.9854017,0.001152733,0.006706196,0.003611091],"study_design_scores_gemma":[0.0004116752,0.0003180018,0.001500838,0.0000273474,0.00000222321,0.00001315928,0.0005733142,0.000135081,0.9627688,0.00010249,0.03401605,0.0001310493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839242,0.0001385109,0.0001050615,0.0001805531,0.00009991697,0.0001897485,0.00005151244,0.00001009394,0.01530039],"genre_scores_gemma":[0.9895017,0.000210695,0.001389001,0.00001840879,0.0003666922,0.0000179867,0.00007267298,0.00003101626,0.008391899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02730985,"threshold_uncertainty_score":0.4696937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858824812350159,"score_gpt":0.3572112268112195,"score_spread":0.3086229786877179,"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."}}