{"id":"W4404099958","doi":"10.1038/s41467-024-54002-w","title":"Nucleolar Pol II interactome reveals TBPL1, PAF1, and Pol I at intergenic rDNA drive rRNA biogenesis","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Society of Canada; Princess Margaret Cancer Centre; University Health Network; Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"Canadian Institutes of Health Research; National Institute of General Medical Sciences; Government of Canada; National Cancer Institute; Princess Margaret Cancer Foundation","keywords":"Interactome; Biology; Biogenesis; Intergenic region; Genetics; Cell biology; Computational biology; Genome; Gene","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":[0.00006947637,0.0003399379,0.0001415086,0.0001944207,0.0002669422,0.0004372358,0.0002069731,0.0003223959,0.002991394],"category_scores_gemma":[0.00008294893,0.0002020585,0.0002644095,0.0001108249,0.0001822792,0.0002070835,0.0002452972,0.0006883345,0.001283116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897497,"about_ca_system_score_gemma":0.0001813107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007771827,"about_ca_topic_score_gemma":0.001326855,"domain_scores_codex":[0.9998797,0.000007930624,0.000004768698,0.00004731373,0.00003654658,0.00002370261],"domain_scores_gemma":[0.9999269,0.000007511117,0.00002037244,0.00000787213,0.000009011983,0.00002823639],"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":[0.00005274364,0.000005800254,0.0002472404,0.00002142782,0.000003321445,0.00003848454,0.000009392242,0.00002184613,0.9985523,0.0001131002,0.00008571987,0.0008486907],"study_design_scores_gemma":[0.00001463068,0.00005975669,0.0112945,0.00001388373,0.00001950959,0.000556302,0.00004601094,0.002050512,0.9733933,0.0001592385,0.01238713,0.000005337583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656126,0.005383527,0.01939195,0.0006602433,0.0001252954,0.00003150211,0.001938926,0.0006694106,0.006186536],"genre_scores_gemma":[0.9776717,0.001151692,0.006588643,0.0002171385,0.00002741533,0.00004647317,0.003356785,0.00009928999,0.01084078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002991394,"threshold_uncertainty_score":0.01000726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103861806504087,"score_gpt":0.3000044157288637,"score_spread":0.2889657976638228,"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."}}