{"id":"W4387080644","doi":"10.21203/rs.3.rs-3373965/v1","title":"Landscape genetic analysis of population structure and barriers to gene flow in a managed forest range of boreal woodland caribou (Rangifer tarandus caribou)","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Woodland caribou; Ecology; Range (aeronautics); Population; Habitat fragmentation; Gene flow; Isolation by distance; Genetic structure; Threatened species; Geography; Taiga; Biology; Genetic diversity; Boreal; Habitat; Demography","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":[0.0002700952,0.0001106136,0.0001927324,0.0008584318,0.0004040464,0.0004249794,0.0002629787,0.0001862684,0.0004660157],"category_scores_gemma":[0.0006528679,0.00009252915,0.0001384405,0.0007665166,0.000439392,0.0001467822,0.0002555404,0.0001758165,0.00003971957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571711,"about_ca_system_score_gemma":0.0002802016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02837928,"about_ca_topic_score_gemma":0.04911029,"domain_scores_codex":[0.9998857,0.00004851615,0.00000470891,0.00003445903,0.00001157506,0.00001498688],"domain_scores_gemma":[0.9996765,0.0001619252,0.0000554171,0.00001794322,0.00003785647,0.00005041412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006547348,0.0002548036,0.9230614,0.00004263576,0.000216214,0.0005999,0.00288255,0.003295073,0.0557551,0.0007350185,0.0001208481,0.01238181],"study_design_scores_gemma":[0.00001110971,0.00005905506,0.9963971,0.000003035454,0.00002671203,0.0001505754,0.0007171266,0.002040591,0.000318397,0.0001507578,0.0001207077,0.000004925563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998485,0.00001260666,0.00006598272,0.000002314914,1.833326e-7,5.957501e-7,0.00001681997,8.791375e-7,0.00005200995],"genre_scores_gemma":[0.9996897,0.00001036669,0.0001845752,0.000002695676,5.306147e-7,0.000001948586,0.00005568951,0.00000111317,0.00005355031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02837928,"threshold_uncertainty_score":0.05642819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339527895612148,"score_gpt":0.311349519736998,"score_spread":0.2879542407808766,"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."}}