{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004612904,0.000101706,0.00008181474,0.00004017712,0.0003004618,0.00001288502,0.00004336051,0.0001320928,0.00001077625],"category_scores_gemma":[0.0000390499,0.000113083,0.00004448321,0.00004083383,0.00002605724,0.000009189197,0.00002811172,0.0000336666,0.000003742376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003775457,"about_ca_system_score_gemma":0.00002138802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003308415,"about_ca_topic_score_gemma":0.00008212772,"domain_scores_codex":[0.9993828,0.00003812755,0.0001378113,0.0002335498,0.00008498311,0.0001227064],"domain_scores_gemma":[0.9996926,0.00001297871,0.00009237356,0.00007410585,0.00008168723,0.00004621867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001703316,0.00003688741,0.668431,0.00002630009,0.0001021664,1.250691e-7,0.0004274661,0.01436892,0.3106014,0.00005085351,0.002490368,0.003294165],"study_design_scores_gemma":[0.001181288,0.0003052853,0.9353349,0.00000555988,0.00008501275,0.00001212481,0.00006208962,0.03090617,0.02602505,0.000404518,0.005404449,0.0002736105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8023275,0.0003006623,0.1969454,0.00002221768,0.00009815811,0.0002032615,0.00007916011,0.00001397939,0.000009731914],"genre_scores_gemma":[0.9965815,0.00007795072,0.001591033,0.0000202315,0.0002000189,0.000007896878,0.001344291,0.00001017863,0.000166898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2845764,"threshold_uncertainty_score":0.461139,"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."}}