{"id":"W2306795702","doi":"10.1103/physreve.93.062411","title":"Stochastic resetting in backtrack recovery by RNA polymerases","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"European Research Council; Deutsche Forschungsgemeinschaft; Department of Science and Technology, Ministry of Science and Technology, India; Human Frontier Science Program","keywords":"Random walk; RNA; Polymerase; Backtracking; Transcription (linguistics); Mathematics; DNA; Algorithm; Biology; Genetics; Statistics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468511,0.0001105642,0.0001812387,0.00001635774,0.00002302697,0.000008798135,0.0001572587,0.00003281235,0.00003275567],"category_scores_gemma":[0.000587853,0.00007410121,0.00009960747,0.00008493547,0.00004201824,0.000005392408,0.00009408495,0.00006960962,0.00007343166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001458709,"about_ca_system_score_gemma":0.00003454425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001015299,"about_ca_topic_score_gemma":0.00001384697,"domain_scores_codex":[0.9991106,0.00008169048,0.0001648032,0.0002654544,0.0001380212,0.0002394248],"domain_scores_gemma":[0.9995148,0.00006618034,0.00004723255,0.0002505623,0.00002789284,0.00009334476],"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":[0.00002506515,0.0001448541,0.0001015016,0.0000750421,0.000009040642,0.000001841862,0.000003055635,0.000001600388,0.906617,0.0001996533,0.01151751,0.08130383],"study_design_scores_gemma":[0.006789851,0.003106584,0.004913223,0.01437028,0.0001717648,0.00002628952,0.00008175001,0.00205302,0.6119,0.00936792,0.3436316,0.003587647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835265,0.01175476,0.001444164,0.001634995,0.00006014747,0.0002318011,0.00005381897,0.00001056981,0.00128328],"genre_scores_gemma":[0.9842162,0.01344089,0.00004056772,0.001129374,0.0001406231,0.00002425903,0.00004953008,0.00001755333,0.0009409901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3321141,"threshold_uncertainty_score":0.302176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009450505908351428,"score_gpt":0.3202944749583796,"score_spread":0.3108439690500282,"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."}}