{"id":"W4383535918","doi":"10.1002/ece3.10278","title":"Genomic population structure and inbreeding history of Lake Superior caribou","year":2023,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of Natural Resources and Forestry; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; W. Garfield Weston Foundation; Hospital for Sick Children; Government of Ontario; Compute Canada; Environment and Climate Change Canada; Genome Canada","keywords":"Inbreeding; Biology; Evolutionary biology; Population; Population structure; Zoology; Ecology; Geography; Genetics; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002060548,0.0001221974,0.0001653607,0.0009005583,0.0006794485,0.0003967828,0.0001958205,0.0001791998,0.001080325],"category_scores_gemma":[0.0005318034,0.00007578224,0.0001375588,0.001363964,0.0003302623,0.00013718,0.0002752975,0.0001372691,0.00008511535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276255,"about_ca_system_score_gemma":0.0008784018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.495695,"about_ca_topic_score_gemma":0.7352096,"domain_scores_codex":[0.9998862,0.00001231806,0.000005093345,0.00004458344,0.00002338563,0.00002842151],"domain_scores_gemma":[0.9996994,0.00004443895,0.00007310148,0.00002069795,0.0001097551,0.00005277115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004564371,0.00001215628,0.981997,0.00002050331,0.0000768573,0.00009934406,0.00113649,0.0003909238,0.01210632,0.000115064,0.0002809646,0.003718887],"study_design_scores_gemma":[0.000001729532,0.000007332327,0.9987798,0.000005154161,0.00001181579,0.0000264343,0.0003301574,0.0003316108,0.0001114878,0.00002322455,0.0003687144,0.000002432349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99907,0.00005550695,0.000115349,0.00001401717,8.484794e-7,0.000001885614,0.0005090154,0.000003127306,0.0002303228],"genre_scores_gemma":[0.9987853,0.00004237556,0.0001876222,0.00001563169,9.950894e-7,0.000003712434,0.0007451366,0.000002128324,0.0002171594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495695,"threshold_uncertainty_score":0.9856195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008707799889253678,"score_gpt":0.2006606249761849,"score_spread":0.1919528250869312,"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."}}