{"id":"W4319069458","doi":"10.1126/sciadv.add9109","title":"Epistasis between promoter activity and coding mutations shapes gene evolvability","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Gene; Promoter activity; Evolvability; Genetics; Biology; Coding region; Epistasis; Transcription (linguistics); Promoter; Computational biology; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003621049,0.00006895039,0.00006674087,0.0000530843,0.000270182,0.00003349713,0.0001410106,0.00003114837,0.000004850942],"category_scores_gemma":[0.0001803806,0.00006329489,0.00002105466,0.000368816,0.0006038318,0.00002080759,0.0001166363,0.00003575591,0.000008498319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275679,"about_ca_system_score_gemma":0.00007472451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005962868,"about_ca_topic_score_gemma":0.00003821012,"domain_scores_codex":[0.999208,0.00002066053,0.00008136864,0.0003405776,0.0001445945,0.0002048524],"domain_scores_gemma":[0.9996719,0.00001742427,0.00003622869,0.0001362773,0.00006393622,0.00007423619],"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":[0.000004751468,0.00001204394,0.03551553,0.00001438913,0.000004730382,4.499243e-7,0.00006416107,0.0004065557,0.9226568,0.00004900353,0.00001961112,0.04125194],"study_design_scores_gemma":[0.0001788572,0.000129313,0.6872367,0.000007321651,0.0000103292,0.000003954607,0.0001466242,0.003952102,0.3031724,0.002074095,0.002876071,0.000212251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942904,0.0001725041,0.00478981,0.0002926411,0.00005517466,0.0000959836,0.00003190603,0.00002515658,0.0002464168],"genre_scores_gemma":[0.9975088,0.0001034534,0.002058154,0.00002617491,0.00004720186,0.000009749189,0.00001916984,0.000004081268,0.0002232805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6517211,"threshold_uncertainty_score":0.2581091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657895987243366,"score_gpt":0.3158484485204591,"score_spread":0.2992694886480254,"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."}}