{"id":"W2056697366","doi":"10.1111/j.1558-5646.2007.00299.x","title":"HETEROGENEOUS GENOMIC DIFFERENTIATION BETWEEN WALKING-STICK ECOTYPES: \"ISOLATION BY ADAPTATION\" AND MULTIPLE ROLES FOR DIVERGENT SELECTION","year":2008,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":610,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Environmental Biology; Vanderbilt University","keywords":"Biology; Ecotype; Local adaptation; Evolutionary biology; Genetic drift; Ecological speciation; Reproductive isolation; Genetics; Background selection; Adaptation (eye); Directional selection; Locus (genetics); Genome; Selection (genetic algorithm); Population; Genetic divergence; Gene flow; Neutral theory of molecular evolution; Genetic variation; Gene; Genetic diversity","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":[0.0003852131,0.00024751,0.0003693846,0.0008129718,0.0003215018,0.0004644611,0.0002997658,0.0002873018,0.001002071],"category_scores_gemma":[0.0007197508,0.0001343043,0.0001821299,0.0005307465,0.0005434681,0.0003116743,0.0004802356,0.0003123948,0.0001119458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216713,"about_ca_system_score_gemma":0.0001096852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007041509,"about_ca_topic_score_gemma":0.001653829,"domain_scores_codex":[0.9997247,0.00004591149,0.00002286138,0.0001076754,0.00006978257,0.00002896618],"domain_scores_gemma":[0.9994204,0.0001892557,0.0001978582,0.00008107736,0.00004613964,0.00006522842],"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":[0.0003929751,0.00004450917,0.1662014,0.0001047539,0.0001499551,0.0004115945,0.0006620754,0.0002978118,0.8169333,0.0005848104,0.0000492034,0.01416753],"study_design_scores_gemma":[0.00001297168,0.000127287,0.9792728,0.000009998663,0.00004823871,0.001045967,0.0002450899,0.0009220183,0.01726069,0.0007068999,0.0003290625,0.00001900966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981674,0.0001417796,0.001326804,0.00001169107,0.000001284149,0.0000046393,0.0000467894,0.00001124186,0.0002883311],"genre_scores_gemma":[0.999008,0.00004258207,0.0007051195,0.00001622223,0.000002861964,0.00000479574,0.0001388867,0.000005819627,0.00007577304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001002071,"threshold_uncertainty_score":0.003352284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388985096920344,"score_gpt":0.2062855652462756,"score_spread":0.1923957142770721,"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."}}