{"id":"W2179073488","doi":"10.1007/s10592-015-0795-0","title":"Integrating ecological and genetic structure to define management units for caribou in Eastern Canada","year":2015,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Forêts, de la Faune et des Parcs; Université Laval; Hydro-Québec; Université du Québec à Rimouski","funders":"","keywords":"Ecology; Genetic diversity; Biodiversity; Biology; Ecotype; Range (aeronautics); Genetic structure; Geography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004669673,0.000116358,0.0001001355,0.00004154792,0.00004829968,0.00002540796,0.0001115424,0.00009869787,0.000005031409],"category_scores_gemma":[0.00009368044,0.0001185299,0.00001124072,0.0001376041,0.00002161628,0.000001750643,0.000111864,0.00004384803,4.309392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003207717,"about_ca_system_score_gemma":0.0001908271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004940435,"about_ca_topic_score_gemma":0.2833772,"domain_scores_codex":[0.9992757,0.00003392913,0.0001778803,0.0002423304,0.0001105717,0.0001595548],"domain_scores_gemma":[0.9994707,0.00001109917,0.00004865399,0.0001493158,0.0001968376,0.000123411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001316715,0.00001785928,0.9502419,0.00006253353,0.00004813318,0.0000114055,0.0003418432,0.01344867,0.006862108,0.0004883891,0.01620305,0.0121424],"study_design_scores_gemma":[0.001275696,0.0002460787,0.8573715,0.00001405966,0.00002935061,0.00001393859,0.000763706,0.00236324,0.002490781,0.0005265266,0.1346191,0.0002860684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952971,0.000228673,0.003131217,0.0005849467,0.0001835125,0.0003731032,0.0001012327,0.000004012059,0.00009622712],"genre_scores_gemma":[0.9781663,0.00001708768,0.01938663,0.001836726,0.00005548317,0.00001312631,0.0002649656,0.000008799807,0.000250931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2784368,"threshold_uncertainty_score":0.7468493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327804993603121,"score_gpt":0.2408897936293405,"score_spread":0.2076117436933093,"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."}}