{"id":"W4293077264","doi":"10.1101/2022.06.07.495002","title":"Epistasis between promoter activity and coding mutations shapes gene evolvability","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; PROTEO","funders":"","keywords":"Evolvability; Gene; Epistasis; Biology; Genetics; Coding region; Mutant; Transcription (linguistics); Gene expression; Phenotype; Computational biology","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":[0.0005133658,0.0003707676,0.0004836148,0.0007043462,0.0002193429,0.0009223379,0.000343614,0.0004846848,0.001823528],"category_scores_gemma":[0.002269371,0.0002791713,0.0002536949,0.000290835,0.000611893,0.0004201637,0.0007652956,0.0007725268,0.0003433632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584246,"about_ca_system_score_gemma":0.0002926342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004815852,"about_ca_topic_score_gemma":0.000690604,"domain_scores_codex":[0.9995002,0.0001411689,0.00003232784,0.0001295637,0.0001242357,0.00007253813],"domain_scores_gemma":[0.9989452,0.0004727346,0.0001836069,0.0001383846,0.00010527,0.0001548006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002226917,0.00004564247,0.01808711,0.00004901432,0.00006253442,0.0002737812,0.00009730608,0.01082058,0.9580592,0.003949752,0.0002888574,0.008043455],"study_design_scores_gemma":[0.0001021838,0.0004868933,0.2933878,0.00005292442,0.0002592975,0.002581932,0.0007246308,0.3362981,0.3327631,0.02712729,0.005989944,0.0002258217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913288,0.00008390003,0.006556339,0.0001278273,0.00000678176,0.000006074657,0.0001034362,0.0001334116,0.001653553],"genre_scores_gemma":[0.9981557,0.00004400527,0.001325859,0.00003266195,0.000003376249,0.000007103445,0.00006085957,0.00006183053,0.0003086271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001823528,"threshold_uncertainty_score":0.006100237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142756055306735,"score_gpt":0.2447894549916966,"score_spread":0.2305138494610231,"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."}}