{"id":"W1537321445","doi":"10.1111/evo.12192","title":"SELECTION BIASES THE PREVALENCE AND TYPE OF EPISTASIS ALONG ADAPTIVE TRAJECTORIES","year":2013,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Alfred P. Sloan Foundation; Army Research Office; Burroughs Wellcome Fund; U.S. Department of the Interior; Advanced Research Projects Agency; James S. McDonnell Foundation; David and Lucile Packard Foundation","keywords":"Epistasis; Biology; Adaptation (eye); Evolutionary biology; Experimental evolution; Selection (genetic algorithm); Genetics; Natural selection; Locus (genetics); Local adaptation; Genetic architecture; Phenotype; Gene; Population","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":[0.00007675109,0.00006026529,0.00004937045,0.00001727567,0.00006928103,0.0000073756,0.0000506654,0.00005590253,0.00002247815],"category_scores_gemma":[0.0001143144,0.00004654026,0.0000218161,0.00009350747,0.0001133516,0.000005004601,0.00002618673,0.00003451636,0.000005350118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340766,"about_ca_system_score_gemma":0.00003743826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002396522,"about_ca_topic_score_gemma":0.0001747782,"domain_scores_codex":[0.9995714,0.00005079053,0.00009883052,0.0001268562,0.00006580917,0.00008627463],"domain_scores_gemma":[0.9996696,0.00001499203,0.00005282811,0.0001021327,0.0001382357,0.00002228491],"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":[0.000156998,0.0001086032,0.3307382,0.0001107643,0.0001115759,1.519349e-7,0.0002948721,0.001274276,0.6512649,0.004372091,0.007432021,0.004135555],"study_design_scores_gemma":[0.0001483181,0.0003682367,0.9808822,0.00001518078,0.00002627178,0.00001078209,0.0001454529,0.005893322,0.01122623,0.0005019979,0.000684341,0.0000977305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938326,0.001456224,0.004157474,0.0000779973,0.00007977775,0.0001488307,0.000007940429,0.00000750568,0.0002316572],"genre_scores_gemma":[0.9984901,0.0002598286,0.0004421071,0.00002145484,0.00006063029,0.00001149738,0.00001203516,0.000005138092,0.0006971857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.650144,"threshold_uncertainty_score":0.1897857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494727554960951,"score_gpt":0.249533200709216,"score_spread":0.2345859251596065,"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."}}