{"id":"W2017466829","doi":"10.1111/j.1420-9101.2007.01499.x","title":"Call divergence is correlated with geographic and genetic distance in greenish warblers (<i>Phylloscopus trochiloides</i>): a strong role for stochasticity in signal evolution?","year":2008,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; Lunds Universitet; National Science Foundation","keywords":"Divergence (linguistics); Biology; Adaptation (eye); Sexual selection; Genetic divergence; Evolutionary biology; Geographical distance; Genetic algorithm; Ecology; Geographic variation; Population; Genetic diversity; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061935,0.0001402187,0.0002253147,0.0001391613,0.0001074978,0.000003256334,0.0002041276,0.0001574151,0.00001004492],"category_scores_gemma":[0.00003637707,0.0001202441,0.00007317642,0.0001673127,0.00032845,0.00001199658,0.00006472346,0.0002294783,4.58575e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005826558,"about_ca_system_score_gemma":0.0001607931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001407914,"about_ca_topic_score_gemma":0.0003055189,"domain_scores_codex":[0.9989544,0.00009900371,0.000404328,0.0002182015,0.00009093274,0.0002331382],"domain_scores_gemma":[0.9993442,0.00003693182,0.0002247837,0.0001311522,0.000176638,0.00008634332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001238497,0.0001994947,0.9343626,0.000006446131,0.00003082869,0.00001359871,0.0000587119,0.0006983418,0.06298558,0.0001037625,0.0001331286,0.0001689699],"study_design_scores_gemma":[0.00165624,0.002096374,0.9927238,0.00003611615,0.00002498861,0.0003114016,0.00007900789,0.001967086,0.000326113,0.0002393634,0.0003743485,0.0001651765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600631,0.006681293,0.03281048,0.0001564912,0.00003814145,0.0001924854,0.00004049468,0.000002735708,0.00001476845],"genre_scores_gemma":[0.9964062,0.0005745806,0.002810278,0.00008193641,0.00004601766,0.00001712399,0.00002407132,0.000009352862,0.00003041296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06265947,"threshold_uncertainty_score":0.4903414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123173576036997,"score_gpt":0.245678875068961,"score_spread":0.2333615174652613,"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."}}