{"id":"W2000003516","doi":"10.1111/j.1558-5646.2011.01277.x","title":"ESTABLISHMENT AND MAINTENANCE OF ADAPTIVE GENETIC DIVERGENCE UNDER MIGRATION, SELECTION, AND DRIFT","year":2011,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":260,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Genetic drift; Divergence (linguistics); Adaptive evolution; Selection (genetic algorithm); Population; Mutation rate; Range (aeronautics); Effective population size; Statistical physics; Evolutionary biology; Genetic variation; Genetics; Physics; Computer science; Demography; Machine learning","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":[0.001128574,0.0002540597,0.0006715984,0.0005575417,0.0006182657,0.001083005,0.0009881797,0.0009141794,0.001156875],"category_scores_gemma":[0.004702314,0.0003212797,0.0004514042,0.0003292579,0.001986423,0.002025064,0.001330784,0.0009337216,0.0002591627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008920812,"about_ca_system_score_gemma":0.0005738553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089457,"about_ca_topic_score_gemma":0.0007510404,"domain_scores_codex":[0.9995844,0.0001012547,0.00002200163,0.0001291561,0.00008043344,0.0000827754],"domain_scores_gemma":[0.9989743,0.0003515588,0.0002180972,0.000155695,0.00008890315,0.0002114094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007304995,0.0004343448,0.1089906,0.0004888427,0.0003891033,0.002378534,0.001781826,0.2624156,0.2684366,0.288552,0.001458928,0.06394317],"study_design_scores_gemma":[0.0002015045,0.0005362493,0.06965082,0.00004631095,0.0001068441,0.002034851,0.0005617224,0.6830819,0.01621159,0.2253863,0.002023591,0.0001582857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787742,0.0002248225,0.01820699,0.0002257887,0.00001122431,0.000006271646,0.00002514589,0.00007541448,0.00245016],"genre_scores_gemma":[0.9985625,0.00006314067,0.001136802,0.00002118828,0.000005330846,0.000005880237,0.00001505997,0.000009761839,0.0001803128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001156875,"threshold_uncertainty_score":0.006472588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282439076177293,"score_gpt":0.2006596035912658,"score_spread":0.1923771645150885,"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."}}