{"id":"W2888062132","doi":"10.1101/gr.233999.117","title":"Exonic splice regulation imposes strong selection at synonymous sites","year":2018,"lang":"en","type":"article","venue":"Genome Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Medical Research Council; Medical Research Council Canada; Boehringer Ingelheim Fonds","keywords":"Biology; splice; Genetics; Negative selection; Synonymous substitution; Natural selection; Computational biology; RNA splicing; Selection (genetic algorithm); Constraint (computer-aided design); Silent mutation; Evolutionary biology; Mutation; Codon usage bias; Gene; Computer science; RNA; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002569609,0.0004479461,0.000964374,0.0008334364,0.0005131557,0.001243835,0.0004431971,0.0006595103,0.00187143],"category_scores_gemma":[0.00385938,0.0003084004,0.0006223589,0.0006546087,0.001434838,0.0008066626,0.001000653,0.0008305929,0.000793531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697364,"about_ca_system_score_gemma":0.0004033374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006410794,"about_ca_topic_score_gemma":0.002046808,"domain_scores_codex":[0.9977751,0.0006958617,0.0002029897,0.0006395557,0.000452432,0.0002338809],"domain_scores_gemma":[0.9961311,0.001994537,0.0006621669,0.0005914025,0.0003214124,0.0002994057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005519782,0.00008812199,0.1567763,0.0002965487,0.0006124478,0.001000176,0.0003496477,0.004847664,0.7744612,0.01098541,0.0003325264,0.04969795],"study_design_scores_gemma":[0.0001626146,0.0007712711,0.6437836,0.0001578271,0.001397106,0.005613851,0.00103019,0.07137345,0.2201286,0.04456669,0.01077851,0.0002361993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806719,0.0006457864,0.01464095,0.0001390918,0.00002105423,0.00001155597,0.0001264136,0.0001070788,0.003636117],"genre_scores_gemma":[0.996967,0.0002119245,0.002232177,0.0001466709,0.00001837865,0.000008240977,0.000145689,0.00003888564,0.0002309401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569609,"threshold_uncertainty_score":0.01358956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05215454730691459,"score_gpt":0.3681003541730715,"score_spread":0.3159458068661569,"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."}}