{"id":"W4413931403","doi":"10.1111/jbi.70050","title":"Ecological Traits Explain Levels of Genetic Divergence Across an Environmental Barrier Among South American Birds","year":2025,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Richard Lounsbery Foundation; Universidad Nacional de Río Negro; Fundación Williams; Consejo Nacional de Investigaciones Científicas y Técnicas; Ministry of Environment - Saskatchewan","keywords":"Ecology; Divergence (linguistics); Geography; Biology; Genetic divergence; Genetic diversity; Demography; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005502939,0.0001973022,0.000234529,0.0006924961,0.0004629289,0.0005453315,0.0002427368,0.000333308,0.001743424],"category_scores_gemma":[0.001365694,0.0001440383,0.0002141618,0.0005616875,0.0005747933,0.0002883608,0.0005785156,0.0003015772,0.0001228529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705568,"about_ca_system_score_gemma":0.0001745953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178784,"about_ca_topic_score_gemma":0.007905919,"domain_scores_codex":[0.9997572,0.00008485807,0.00001915709,0.00006953358,0.00003553044,0.00003363143],"domain_scores_gemma":[0.9989537,0.000395582,0.0003295747,0.00008363381,0.0001036976,0.0001337647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008826565,0.00002019023,0.9878237,0.0000229186,0.0001830879,0.0000477795,0.0005213896,0.0002689068,0.008466258,0.0001211248,0.00003206963,0.002404287],"study_design_scores_gemma":[0.000002403066,0.00001129378,0.9990139,0.00000399546,0.00001535223,0.00004378124,0.0002384349,0.0004268029,0.00009352405,0.0001005654,0.00004797765,0.00000203302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996617,0.00005255176,0.0001157563,0.00001315546,5.49136e-7,9.140643e-7,0.00002132982,0.000001094556,0.0001330432],"genre_scores_gemma":[0.9998629,0.00001296361,0.00006248752,0.000004049436,9.126942e-7,0.000001016842,0.00002943117,9.734805e-7,0.00002522262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003178784,"threshold_uncertainty_score":0.006320536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00845015189055309,"score_gpt":0.2404928161509527,"score_spread":0.2320426642603997,"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."}}