{"id":"W4390639526","doi":"10.1007/s10592-023-01584-5","title":"Population structure and history of North Atlantic Blue whales (Balaenoptera musculus musculus) inferred from whole genome sequence analysis","year":2024,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Scarborough Hospital; Hospital for Sick Children; Royal Ontario Museum","funders":"Hospital for Sick Children; National Museum of Natural History; Technische Universität München; Universitetet i Bergen","keywords":"Biology; Balaenoptera; Whale; Endangered species; Gene flow; Whaling; Population; Genetic diversity; Population genomics; Evolutionary biology; Zoology; Ecology; Genome; Genomics; Genetic variation; Genetics; Gene; 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":[0.0004031772,0.00009847111,0.00007786799,0.001056369,0.0001454976,0.0002958034,0.0001263384,0.000130178,0.0009004952],"category_scores_gemma":[0.0004450428,0.00006638689,0.0001360031,0.0007980985,0.0001181769,0.0001702345,0.0002046306,0.000129956,0.0001788381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573648,"about_ca_system_score_gemma":0.0002049545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008421208,"about_ca_topic_score_gemma":0.01808168,"domain_scores_codex":[0.9999021,0.00001986225,0.000006386255,0.00004479606,0.00001607982,0.0000106973],"domain_scores_gemma":[0.9997508,0.00006523443,0.00006457079,0.00002092623,0.00006647401,0.00003191612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116514,0.00004065504,0.8258634,0.0003749376,0.0004571844,0.0003605607,0.001973524,0.002146591,0.05294958,0.001131149,0.002988829,0.111602],"study_design_scores_gemma":[0.000002291638,0.00003029138,0.9906659,0.00004888755,0.00006558943,0.0001364249,0.0002513339,0.0008397097,0.0006872747,0.0002176051,0.007045778,0.000008999436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904978,0.002349412,0.002556479,0.0001678199,0.000009940694,0.0000115822,0.00245527,0.00004452523,0.001907122],"genre_scores_gemma":[0.9878322,0.002144727,0.003798185,0.00005852979,0.00001484212,0.00002078027,0.005314916,0.00001817458,0.0007976051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008421208,"threshold_uncertainty_score":0.01674438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287828636654399,"score_gpt":0.228901066131711,"score_spread":0.206022779765167,"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."}}