{"id":"W2402932091","doi":"","title":"Regulated RNA rewriting: modelling RNA editing with guided insertion.","year":2006,"lang":"en","type":"article","venue":"DCFS","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"RNA editing; Rewriting; String (physics); RNA; Computer science; Hierarchy; Computational biology; Programming language; Theoretical computer science; Biology; Genetics; Gene; Mathematics","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":[0.00008156255,0.0001159112,0.00008452136,0.00003931805,0.00010559,0.0000359777,0.00008030464,0.00008633592,0.0000268547],"category_scores_gemma":[0.00001935196,0.0001055478,0.00005078343,0.0001049105,0.00004000926,0.000005943554,0.00002599789,0.00004412863,0.00001007883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001147868,"about_ca_system_score_gemma":0.00004228982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008592477,"about_ca_topic_score_gemma":0.00001605291,"domain_scores_codex":[0.9992055,0.00002505899,0.0001950799,0.0002504957,0.0001360515,0.0001877777],"domain_scores_gemma":[0.9994841,0.000003757291,0.00008578323,0.0002339636,0.0001195179,0.0000728481],"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":[0.0002215007,0.0001090491,0.004797902,0.00003682398,0.00004979069,0.00002474794,0.00002655136,0.1636638,0.8012018,0.00161645,0.02534978,0.002901745],"study_design_scores_gemma":[0.005175027,0.0003163555,0.0152468,0.0001808663,0.0001117472,0.00008103427,0.0002159311,0.1481016,0.6932262,0.002102046,0.1339549,0.00128751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623958,0.0002120815,0.01727191,0.0004210133,0.00005831148,0.0001038109,0.000006246653,0.00004751943,0.01948329],"genre_scores_gemma":[0.9939261,0.00001163936,0.002295888,0.0002142157,0.0007472372,0.000008548124,0.0002709885,0.00002338175,0.002502003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086051,"threshold_uncertainty_score":0.4304114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292252746455459,"score_gpt":0.2293625100470769,"score_spread":0.2164399825825223,"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."}}