{"id":"W2909696142","doi":"10.1111/mec.15099","title":"Killer whale genomes reveal a complex history of recurrent admixture and vicariance","year":2019,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet; Helse Midt-Norge; European Science Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Faculty of Medicine and Health, University of Sydney; Norges Teknisk-Naturvitenskapelige Universitet; National Science Foundation","keywords":"Vicariance; Biology; Evolutionary biology; Demographic history; Biological dispersal; Population; Range (aeronautics); Sympatric speciation; Ecology; Phylogeography; Genetic variation; Phylogenetics; Genetics","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":[0.0004071446,0.0002253802,0.0002820088,0.0008487667,0.0004589886,0.0008041541,0.0002100779,0.0004031755,0.0008103881],"category_scores_gemma":[0.001052446,0.0002380739,0.0001947584,0.001282652,0.0005099874,0.000833832,0.0008029523,0.0005313334,0.0002720114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180322,"about_ca_system_score_gemma":0.0001852109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561146,"about_ca_topic_score_gemma":0.004903558,"domain_scores_codex":[0.9998019,0.00003142756,0.00001475851,0.00009674177,0.00003111906,0.00002397283],"domain_scores_gemma":[0.9992787,0.0002230382,0.000266073,0.00009443401,0.00006558236,0.00007211639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033303,0.00008434671,0.5782864,0.0006796676,0.001000584,0.001980923,0.006624128,0.003373076,0.3233884,0.004581703,0.001233539,0.07843422],"study_design_scores_gemma":[0.000009929298,0.000111895,0.9734934,0.00004191585,0.0001747122,0.001543491,0.001572604,0.002100294,0.004764872,0.005650181,0.01047552,0.00006122858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925683,0.00125058,0.004311653,0.000170155,0.000008017386,0.00000471316,0.0007738061,0.00006692446,0.0008459185],"genre_scores_gemma":[0.995379,0.0005567099,0.002201921,0.00009747682,0.00001031109,0.000005095719,0.001392129,0.00002277779,0.000334606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001561146,"threshold_uncertainty_score":0.00310415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057065363088474,"score_gpt":0.2163337451962217,"score_spread":0.205763091565337,"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."}}