{"id":"W4402765172","doi":"10.1007/s10592-024-01639-1","title":"Landscape genetic analysis of population structure and factors influencing gene flow in a southern peripheral population of boreal woodland caribou (Rangifer tarandus caribou)","year":2024,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Environment and Climate Change Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Domtar Corporation","keywords":"Woodland caribou; Gene flow; Ecology; Boreal; Biology; Biodiversity; Population; Taiga; Genetic structure; Woodland; Genetic variation; Predation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000820991,0.0001783871,0.0002840374,0.0002242273,0.00003461954,0.00002468885,0.00008968489,0.0002233267,0.0000216917],"category_scores_gemma":[0.00003143871,0.0001699208,0.00009169526,0.0004275323,0.00005504927,0.000006168543,0.00003876684,0.00008134244,9.27846e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001652253,"about_ca_system_score_gemma":0.00005835715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415412,"about_ca_topic_score_gemma":0.003130294,"domain_scores_codex":[0.9988328,0.00006963988,0.0004565338,0.0003175787,0.000168349,0.00015516],"domain_scores_gemma":[0.9994657,0.00002540837,0.0001237789,0.0002351611,0.00009856288,0.00005137815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003941116,0.00001289932,0.908199,0.00006793638,0.000238953,3.459085e-7,0.00145905,0.07516895,0.01321798,0.00004187258,0.00001041585,0.001543254],"study_design_scores_gemma":[0.0003203814,0.0001113796,0.9664562,0.0000230285,0.0003547821,0.000002157595,0.0002017524,0.03028987,0.001804979,0.000248512,0.00002539978,0.0001615871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938336,0.003162723,0.002103934,0.00001764053,0.0001122569,0.0001938613,0.0005577633,0.00000891399,0.000009315282],"genre_scores_gemma":[0.9899465,0.00005381229,0.007462588,0.000029001,0.00005404695,0.000004962941,0.002408272,0.00002104539,0.0000197278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05825724,"threshold_uncertainty_score":0.6929168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008467551034348673,"score_gpt":0.2285976366916538,"score_spread":0.2201300856573051,"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."}}