{"id":"W2024329220","doi":"10.1162/artl_a_00145","title":"The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution","year":2014,"lang":"en","type":"article","venue":"Artificial Life","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"U.S. National Library of Medicine; National Institute of Allergy and Infectious Diseases","keywords":"Epistasis; Robustness (evolution); Recombination; Biology; Phenotype; Evolutionary biology; Evolutionary dynamics; Genetic recombination; Evolutionary algorithm; Computer science; Genetics; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00160077,0.0004985991,0.0005056759,0.0005888284,0.0005008641,0.001218547,0.0004765972,0.0007876359,0.001339316],"category_scores_gemma":[0.01199518,0.000241184,0.0005182677,0.0003986189,0.002235708,0.001623105,0.001435655,0.0009883849,0.0001822714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915894,"about_ca_system_score_gemma":0.0003120263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596229,"about_ca_topic_score_gemma":0.0001440662,"domain_scores_codex":[0.9987751,0.000635117,0.00005686616,0.0001783042,0.0002395687,0.0001149831],"domain_scores_gemma":[0.9921519,0.005824074,0.001020322,0.0005095568,0.0002105837,0.0002837187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005925245,0.0002010411,0.01293299,0.0004273031,0.0002508131,0.0009156236,0.0007314905,0.4217923,0.2729471,0.1874792,0.0003952718,0.1013345],"study_design_scores_gemma":[0.0001048182,0.001170692,0.02657213,0.00008150689,0.0002062997,0.002103457,0.0002921589,0.7203284,0.06104343,0.1832707,0.004632295,0.0001941091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8365929,0.002652489,0.145407,0.0006091925,0.00003882808,0.00003599208,0.00005696015,0.000233773,0.01437297],"genre_scores_gemma":[0.9925128,0.0003692716,0.006537325,0.0000310862,0.00001409618,0.0000204263,0.00001459058,0.00003712464,0.0004633728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00160077,"threshold_uncertainty_score":0.008465767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006542170767987439,"score_gpt":0.2226183441284408,"score_spread":0.2160761733604534,"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."}}