{"id":"W2547502623","doi":"10.1111/evo.13110","title":"Partitioning the effects of isolation by distance, environment, and physical barriers on genomic divergence between parapatric threespine stickleback","year":2016,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Howard Hughes Medical Institute; David and Lucile Packard Foundation; National Science Foundation","keywords":"Parapatric speciation; Stickleback; Biology; Isolation by distance; Biological dispersal; Gasterosteus; Habitat; Population; Ecological speciation; Ecology; Evolutionary biology; Divergence (linguistics); Selection (genetic algorithm); Genetic divergence; Genetic structure; Gene flow; Genetic diversity; Genetic variation; Genetics; Fish <Actinopterygii>; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003898567,0.00006520772,0.00005938596,0.00001182264,0.0001018834,0.00000398367,0.00005361278,0.00004603304,0.00001033569],"category_scores_gemma":[0.00003796438,0.00004357756,0.00002695515,0.00003135323,0.00008961182,0.00000434973,0.00003519284,0.0000256725,0.000005873014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001490552,"about_ca_system_score_gemma":0.000008659416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005255906,"about_ca_topic_score_gemma":0.000001013683,"domain_scores_codex":[0.9995767,0.00004313034,0.0000712301,0.0001455038,0.00008126267,0.00008214339],"domain_scores_gemma":[0.9997453,0.00002460255,0.00006635284,0.0001169891,0.00001023434,0.00003651783],"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":[0.00004655121,0.00001095344,0.3621837,0.00001632886,0.00003133361,9.025979e-8,0.00009266994,0.0002072493,0.633628,0.0005090042,0.001094995,0.002179161],"study_design_scores_gemma":[0.0005316462,0.0003325503,0.948127,0.0000184782,0.00005223979,4.001623e-7,0.00002647966,0.0001022322,0.04681667,0.00137637,0.002499946,0.0001159579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960144,0.0002947887,0.03924754,0.00008328605,0.00005318253,0.0001039568,0.00004297134,0.000002937237,0.00002735089],"genre_scores_gemma":[0.999581,0.0001081243,0.00005453219,0.00001298462,0.0000894013,0.000003320331,0.00003517328,0.000003655347,0.0001118096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5868114,"threshold_uncertainty_score":0.1777041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003561122366996711,"score_gpt":0.1922220857763721,"score_spread":0.1886609634093754,"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."}}