{"id":"W2100887544","doi":"10.1111/evo.12696","title":"Hybridization in headwater regions, and the role of rivers as drivers of speciation in Amazonian birds","year":2015,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação Amazônia Paraense de Amparo à Pesquisa; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação","keywords":"Amazonian; Gene flow; Biology; Subspecies; Genetic algorithm; Reproductive isolation; Amazon rainforest; Biological dispersal; Ecology; Sympatry; Taxon; Hybrid zone; Sympatric speciation; Genetic variation; Gene; Population; Genetics","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":[0.0003959902,0.0001145476,0.0002197538,0.0007127434,0.0006562534,0.000781273,0.0001806381,0.0002093772,0.001306805],"category_scores_gemma":[0.001456709,0.0001418419,0.0002283435,0.0007780186,0.000593239,0.0006006749,0.0006024017,0.0002553456,0.00007871918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695113,"about_ca_system_score_gemma":0.0001978508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004688199,"about_ca_topic_score_gemma":0.01306635,"domain_scores_codex":[0.9996575,0.0001011274,0.00002296483,0.0001310115,0.00003914703,0.00004816903],"domain_scores_gemma":[0.9992296,0.0002484094,0.000305593,0.00006439658,0.0000567531,0.00009536059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008788511,0.00001471767,0.9679339,0.00005074539,0.0001597491,0.0001562356,0.001391169,0.0003922899,0.02096721,0.0008308667,0.0000638903,0.00795117],"study_design_scores_gemma":[0.000002886467,0.00001450595,0.9972064,0.000007102817,0.00003519496,0.0001053047,0.0006824891,0.000694778,0.0003929975,0.0004150256,0.0004378123,0.000005579256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993293,0.0001416131,0.000196074,0.00002786817,9.437873e-7,8.315965e-7,0.00004034733,0.000002741994,0.0002602227],"genre_scores_gemma":[0.9997829,0.00004031982,0.00008752536,0.000007945428,0.000001769668,8.760285e-7,0.00003532465,0.00000127976,0.00004208518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004688199,"threshold_uncertainty_score":0.009321809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005759193597647664,"score_gpt":0.2039271072450817,"score_spread":0.1981679136474341,"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."}}