{"id":"W2142161515","doi":"10.1642/auk-15-51.1","title":"Genomic approaches to understanding population divergence and speciation in birds","year":2015,"lang":"en","type":"article","venue":"The Auk","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Biology; Genomics; Evolutionary biology; Population genomics; DNA sequencing; Genome; Computational biology; Data science; Genetics; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008807807,0.0004559452,0.0005135155,0.002533335,0.0006966279,0.001112615,0.0008111792,0.0009807321,0.001380357],"category_scores_gemma":[0.001698064,0.0002380357,0.0003856889,0.001792237,0.003081052,0.002100362,0.001008966,0.001374268,0.0002019809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488726,"about_ca_system_score_gemma":0.0007357961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005712411,"about_ca_topic_score_gemma":0.007596103,"domain_scores_codex":[0.9996758,0.0001507171,0.00002177903,0.00009344376,0.00003513933,0.00002314628],"domain_scores_gemma":[0.9996188,0.0002385766,0.00007191363,0.00002473805,0.00002373551,0.00002229623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000115556,0.00006931557,0.04172892,0.002358148,0.0002761748,0.001029805,0.004633209,0.03701954,0.04212045,0.4501899,0.002392999,0.418066],"study_design_scores_gemma":[0.00001516434,0.0001422401,0.09285339,0.0005398659,0.0001227652,0.001088649,0.004043215,0.01849168,0.004890329,0.8035819,0.07415166,0.00007916531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1777002,0.1987035,0.5729081,0.0159924,0.0004546116,0.0001932184,0.001517232,0.0007205678,0.03181017],"genre_scores_gemma":[0.6537843,0.07470661,0.2649538,0.002518181,0.0005352694,0.0001791919,0.0007032905,0.00008530946,0.002533941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005712411,"threshold_uncertainty_score":0.01135832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1739710279848092,"score_gpt":0.2497024296134913,"score_spread":0.0757314016286822,"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."}}