{"id":"W4415648853","doi":"10.1093/genetics/iyaf229","title":"Maintenance of polymorphism in spatially heterogeneous environments","year":2025,"lang":"en","type":"article","venue":"Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Alberta Innovates; Japan Society for the Promotion of Science London","keywords":"Population; Genetic drift; Evolutionary dynamics; Panmixia; Spatial analysis; Adaptation (eye); Divergence (linguistics); Selection (genetic algorithm); Local adaptation; Adaptive evolution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006773997,0.0001012897,0.0001110034,0.00005825881,0.0000169386,0.000003706132,0.0001734854,0.0001118644,0.00001335532],"category_scores_gemma":[0.00002123645,0.0001104485,0.00005139274,0.00008313393,0.00008538269,5.259671e-7,0.000118658,0.0000447775,0.000005243849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632038,"about_ca_system_score_gemma":0.00005845867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179856,"about_ca_topic_score_gemma":0.0002352908,"domain_scores_codex":[0.9992547,0.00003101728,0.0002347006,0.0002157653,0.00008221476,0.0001815894],"domain_scores_gemma":[0.9995691,0.00000394261,0.00005552168,0.0003226999,0.00001633501,0.00003242366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006534159,0.0001565849,0.0406285,0.00002555282,0.00004967317,0.000004699015,0.0000359599,0.02596011,0.9247521,0.0003307274,0.0008716998,0.007119089],"study_design_scores_gemma":[0.002786351,0.0004925173,0.1531079,0.00007194638,0.00004306206,0.00002084932,0.00005666746,0.01064174,0.7277314,0.001437961,0.1030641,0.0005455147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738151,0.00178615,0.02219314,0.0001314605,0.0001513091,0.0001464315,0.00001921275,0.000003494438,0.001753732],"genre_scores_gemma":[0.9942291,0.00071204,0.002422835,0.0003075443,0.00002346663,0.000007287742,0.00003523686,0.00001012835,0.002252411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1970207,"threshold_uncertainty_score":0.450396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003620618019184116,"score_gpt":0.2215312748227923,"score_spread":0.2179106568036082,"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."}}