{"id":"W2057313796","doi":"10.1371/journal.pone.0020744","title":"DNA Barcode Libraries Provide Insight into Continental Patterns of Avian Diversification","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; International Development Research Centre; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Nearctic ecozone; Intraspecific competition; DNA barcoding; Biology; Biodiversity; Ecology; Evolutionary biology; Genetic diversity; Fauna; Biogeography; Zoology; Taxonomy (biology); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004013019,0.0003692121,0.000208039,0.003229967,0.0003379509,0.0007054267,0.0001790621,0.0003632898,0.001894257],"category_scores_gemma":[0.001931753,0.0001560721,0.0002649379,0.003241941,0.0003247577,0.0004957568,0.0004521697,0.000392305,0.000776472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004116183,"about_ca_system_score_gemma":0.0003563248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852129,"about_ca_topic_score_gemma":0.005628242,"domain_scores_codex":[0.9997033,0.00004275642,0.00002984572,0.0001135308,0.00007747927,0.00003310313],"domain_scores_gemma":[0.9972613,0.0005719117,0.001552576,0.0001422982,0.000345566,0.0001262996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004003997,0.0001278948,0.6757527,0.0007044741,0.0004171919,0.0001692133,0.0008183538,0.002018624,0.2087485,0.001156927,0.0005457466,0.1091399],"study_design_scores_gemma":[0.000006837443,0.000137261,0.9701805,0.0001335099,0.0001093633,0.0003501333,0.0004142725,0.003054546,0.01862138,0.001084715,0.005886287,0.00002139395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605872,0.002449928,0.02514762,0.0001106717,0.00001890152,0.00005405322,0.007306736,0.0001740947,0.004150772],"genre_scores_gemma":[0.9650779,0.0008770456,0.02769979,0.0000840357,0.0000208866,0.00005109228,0.005410499,0.0000429869,0.0007355861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003229967,"threshold_uncertainty_score":0.006336927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541582531081261,"score_gpt":0.1974656309142058,"score_spread":0.1620498056033932,"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."}}