{"id":"W2158295054","doi":"10.1111/j.1365-294x.2010.04664.x","title":"Epistasis and frequency dependence influence the fitness of an adaptive mutation in a diversifying lineage","year":2010,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Epistasis; Genetics; Mutation; Lineage (genetic); Context (archaeology); Population; Mutation rate; Evolutionary biology; Mutation Accumulation; Genetic Fitness; Adaptation (eye); Allele; Experimental evolution; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005142439,0.0003625602,0.0003494932,0.000623643,0.0003457482,0.0005982986,0.0003296068,0.0005546844,0.00106876],"category_scores_gemma":[0.001512289,0.0002550638,0.0002183682,0.0002936076,0.0004554066,0.000456681,0.0006568155,0.0004871866,0.000162111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927813,"about_ca_system_score_gemma":0.0002344689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006807033,"about_ca_topic_score_gemma":0.00141529,"domain_scores_codex":[0.9996406,0.000124287,0.00003012833,0.00006807736,0.00008602691,0.00005085972],"domain_scores_gemma":[0.999024,0.0004627665,0.0001836029,0.00009985618,0.0001047722,0.0001249531],"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":[0.00009601377,0.00002758666,0.01795733,0.00002343061,0.00003553695,0.0001561863,0.00007810264,0.0007219037,0.9760329,0.0005722013,0.00001706569,0.004281881],"study_design_scores_gemma":[0.00007098587,0.001265124,0.6996837,0.00002752377,0.0003495098,0.00448468,0.0009037445,0.05120352,0.2359392,0.003533035,0.002385024,0.0001538864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984362,0.00007182924,0.0009388115,0.00002166633,0.000001263749,0.00000311074,0.000009449697,0.000009462846,0.0005082708],"genre_scores_gemma":[0.9986871,0.00006587824,0.0009674202,0.00001710259,0.000002665861,0.00000514066,0.0000218435,0.00001054091,0.0002223522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106876,"threshold_uncertainty_score":0.003575385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004948522416929838,"score_gpt":0.2403914765666684,"score_spread":0.2354429541497385,"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."}}