{"id":"W2033318704","doi":"10.1016/j.cell.2013.07.033","title":"From Structure to Systems: High-Resolution, Quantitative Genetic Analysis of RNA Polymerase II","year":2013,"lang":"en","type":"article","venue":"Cell","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; University of California, San Francisco; National Institutes of Health","keywords":"Biology; Computational biology; Genetics; Polymerase; Evolutionary biology; DNA","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005333204,0.000386027,0.0003976613,0.0002443414,0.0002599824,0.001098257,0.0008079116,0.0004869851,0.0005145136],"category_scores_gemma":[0.0006774602,0.0004670219,0.0002227349,0.0002352517,0.00114303,0.0009726996,0.0003537874,0.001893866,0.0002995115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045565,"about_ca_system_score_gemma":0.0003533854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008203721,"about_ca_topic_score_gemma":0.001057405,"domain_scores_codex":[0.9997506,0.00006082528,0.00001359233,0.00005846226,0.00009559492,0.00002102513],"domain_scores_gemma":[0.9997637,0.0001085902,0.00003210011,0.00004528888,0.00002168349,0.00002868252],"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":[0.00003614469,0.0000151494,0.0001397444,0.00005411837,0.000005125864,0.00001447956,0.00002231344,0.001096002,0.9902121,0.004715973,0.0001171192,0.003571726],"study_design_scores_gemma":[0.00001497369,0.00004800519,0.0007236542,0.000007335287,0.0000122679,0.00006236933,0.00002330369,0.01564895,0.9769096,0.003507002,0.003026909,0.00001549515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408613,0.01008861,0.3404934,0.002256116,0.0003261826,0.00006890955,0.0005643686,0.001586463,0.003754552],"genre_scores_gemma":[0.8933129,0.005027176,0.09721579,0.0003444627,0.00007683444,0.00007056435,0.0004980175,0.0002275665,0.003226568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098257,"threshold_uncertainty_score":0.007586181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007015855565910754,"score_gpt":0.2194293808561528,"score_spread":0.212413525290242,"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."}}