{"id":"W2913963064","doi":"10.1111/ele.13229","title":"Elevational differentiation accelerates trait evolution but not speciation rates in Amazonian birds","year":2019,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; The Scarborough Hospital; University of Toronto","funders":"Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Ecological speciation; Ecology; Allopatric speciation; Amazonian; Trait; Passerine; Evolutionary biology; Incipient speciation; Biome; Genetic algorithm; Assortative mating; Reproductive isolation; Genetic divergence; Ecosystem; Mating; Genetic variation; Amazon rainforest; Genetic diversity; Population; Gene flow","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":[0.0005528711,0.00007809904,0.0001210499,0.0002130839,0.0003674603,0.0003703589,0.0001795614,0.0006138372,0.00240831],"category_scores_gemma":[0.003620846,0.00006826619,0.00008038703,0.0003164526,0.000404335,0.0002802043,0.0002210108,0.0004302736,0.0005188376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244652,"about_ca_system_score_gemma":0.0001392072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744,"about_ca_topic_score_gemma":0.005673942,"domain_scores_codex":[0.9998003,0.00006011139,0.00001801679,0.00006306069,0.0000306963,0.00002785534],"domain_scores_gemma":[0.9977171,0.000878323,0.0005643069,0.0002269807,0.0003999364,0.000213203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007447572,0.00008650431,0.913856,0.0000943068,0.00005646853,0.002996185,0.000584486,0.0002814971,0.01764991,0.0009453177,0.005250293,0.05745437],"study_design_scores_gemma":[0.00003721718,0.0001324764,0.9797422,0.00002472632,0.00002517996,0.004497828,0.0003803411,0.001632889,0.002147666,0.002035699,0.009329989,0.0000136733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822191,0.000855057,0.0004142634,0.01275709,0.0001401536,0.000004744618,0.0001279336,0.00002361601,0.003457968],"genre_scores_gemma":[0.9964293,0.0003665659,0.0002418421,0.001590176,0.0002819681,0.000003342466,0.00004719243,0.000009430398,0.001030202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002744,"threshold_uncertainty_score":0.008056581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964077304581904,"score_gpt":0.2198316504155428,"score_spread":0.2001908773697237,"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."}}