{"id":"W2122948387","doi":"10.1038/ncomms1930","title":"Emergence of stable polymorphisms driven by evolutionary games between mutants","year":2012,"lang":"en","type":"article","venue":"Nature Communications","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; American Association of University Women","keywords":"Biology; Coevolution; Fixation (population genetics); Selection (genetic algorithm); Genetics; Evolutionary biology; Population; Mutation rate; Frequency-dependent selection; Neutral mutation; Mutation; Evolutionary dynamics; Natural selection; Computer science; 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":[0.0008090983,0.0004818469,0.0008132221,0.0006191136,0.0007085188,0.001384121,0.001108552,0.001084152,0.001607768],"category_scores_gemma":[0.004131515,0.0003705609,0.001016205,0.0002212296,0.001472306,0.001351352,0.001293858,0.0009905664,0.0001791287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295117,"about_ca_system_score_gemma":0.0008541877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043104,"about_ca_topic_score_gemma":0.001394033,"domain_scores_codex":[0.999433,0.000225986,0.00002755193,0.00008196614,0.0001133997,0.0001181483],"domain_scores_gemma":[0.9985976,0.000618446,0.000237133,0.00009911797,0.0001117721,0.0003359398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002651781,0.0001456639,0.005970514,0.00009458594,0.0001404836,0.001477367,0.0006590071,0.3530055,0.0491919,0.5797881,0.001439809,0.007821896],"study_design_scores_gemma":[0.00006903776,0.00008171864,0.0009725325,0.000007976564,0.00001822346,0.0001905939,0.00008046783,0.8985986,0.001617748,0.09762932,0.000702854,0.00003094936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8483267,0.00008652546,0.144294,0.0004336569,0.00004208112,0.00008278614,0.00008358836,0.0001043429,0.006546345],"genre_scores_gemma":[0.9828823,0.00005796787,0.01401197,0.00006664664,0.00001089401,0.0001175936,0.00004392871,0.00002785441,0.002780883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002043104,"threshold_uncertainty_score":0.009396791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278812846213842,"score_gpt":0.2906077028291527,"score_spread":0.2778195743670143,"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."}}