{"id":"W4292534221","doi":"10.1111/mec.16643","title":"Genomics reveal population structure, evolutionary history, and signatures of selection in the northern bottlenose whale, <i>Hyperoodon ampullatus</i>","year":2022,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography; University of Manitoba; Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Crown-Indigenous Relations and Northern Affairs Canada; Government of Nunavut; University of Windsor; Office of Naval Research; National Geographic Society","keywords":"Biology; Population genomics; Whale; Genomics; Evolutionary biology; Demographic history; Selection (genetic algorithm); Population; Cetacea; Population structure; Ecology; Zoology; Fishery; Genome; Genetic variation; Genetics; Artificial intelligence; Demography; Gene","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":[0.0001359353,0.00007074639,0.00006247002,0.0002628541,0.0001276715,0.000221872,0.0000642066,0.0001316882,0.0005658347],"category_scores_gemma":[0.0001908554,0.00005515514,0.00008274795,0.0002467781,0.0001707593,0.0001169548,0.0001621005,0.0001631817,0.00008927329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277191,"about_ca_system_score_gemma":0.0001359688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005815834,"about_ca_topic_score_gemma":0.01767818,"domain_scores_codex":[0.9999533,0.000006823521,0.000002142918,0.00001935254,0.000006992314,0.00001138956],"domain_scores_gemma":[0.9998763,0.00002457514,0.00005114568,0.000008683391,0.00001579001,0.00002361012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001753775,0.00004850491,0.7171996,0.00007480031,0.0001130525,0.0002496931,0.00209346,0.0003807919,0.2511565,0.000338651,0.0005012193,0.02766828],"study_design_scores_gemma":[8.886266e-7,0.00001836347,0.9988099,0.000002463422,0.000009033339,0.00006184717,0.0001939021,0.00008707721,0.0004515173,0.0000388493,0.0003250539,0.000001080419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993615,0.0001051368,0.00009665269,0.00003346966,8.750339e-7,8.488475e-7,0.0001114218,0.000002724199,0.0002875139],"genre_scores_gemma":[0.9989958,0.0001030213,0.0001917961,0.00004241187,0.000003125601,0.000002318332,0.0003040311,0.000002165727,0.0003553265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005815834,"threshold_uncertainty_score":0.01156396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005867776438584146,"score_gpt":0.1902381269523373,"score_spread":0.1843703505137532,"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."}}