{"id":"W2113867707","doi":"10.1111/mec.13150","title":"Genomic analysis of a migratory divide reveals candidate genes for migration and implicates selective sweeps in generating islands of differentiation","year":2015,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Society of Canadian Ornithologists; University of British Columbia; Association for the Study of Animal Behaviour; Society for the Study of Evolution; American Ornithologists' Union","keywords":"Biology; Reproductive isolation; Evolutionary biology; Gene flow; Hybrid zone; Genome; Population; Genetics; Genetic algorithm; Subspecies; Background selection; Gene; Genetic variation; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001019996,0.0001802901,0.0001370603,0.0005511104,0.0003267612,0.0002328733,0.0001644824,0.000171969,0.000874957],"category_scores_gemma":[0.0001718535,0.00008557681,0.0002061351,0.0004820105,0.0002564508,0.0001308017,0.0002368854,0.0002889412,0.0001260108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371036,"about_ca_system_score_gemma":0.0002640027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005598589,"about_ca_topic_score_gemma":0.01829069,"domain_scores_codex":[0.9999471,0.000003777641,0.000002412082,0.00002840755,0.000008790276,0.000009579073],"domain_scores_gemma":[0.9998877,0.00002561442,0.00003957406,0.000008156591,0.00001257579,0.00002631679],"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":[0.0001605716,0.00003567068,0.05638274,0.0001009128,0.00003848164,0.0003135398,0.0005395064,0.0003385419,0.9254884,0.0004859671,0.0001298612,0.01598592],"study_design_scores_gemma":[0.00001069559,0.0001105747,0.9743885,0.00001861833,0.00004294783,0.0002686655,0.0003384417,0.001701391,0.02008876,0.0003699343,0.002652204,0.000009224404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960341,0.0002474268,0.002357096,0.00005733547,0.000004886551,0.000009733835,0.0004764872,0.00004410648,0.0007689475],"genre_scores_gemma":[0.9925965,0.0001480668,0.004899925,0.00007086463,0.00000581323,0.00001677398,0.001470315,0.00001261021,0.0007790543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005598589,"threshold_uncertainty_score":0.011132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807950496371811,"score_gpt":0.241491393389012,"score_spread":0.2316834428926401,"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."}}