{"id":"W2118242577","doi":"10.1111/gcb.12526","title":"The subtle role of climate change on population genetic structure in Canada lynx","year":2014,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Ecology; Biological dispersal; Population; Geography; Genetic divergence; Genetic structure; Climate pattern; North Atlantic oscillation; Habitat; Genetic variation; Biology; Genetic diversity","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":[0.0002147745,0.00007574041,0.0001225761,0.0002828751,0.0004573508,0.0003833832,0.0001661826,0.0001511285,0.0004757126],"category_scores_gemma":[0.0006272027,0.00005274932,0.0001065749,0.0004178832,0.0004900112,0.0001874486,0.0002587639,0.0001579888,0.00002971871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181305,"about_ca_system_score_gemma":0.001368225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4593602,"about_ca_topic_score_gemma":0.6573371,"domain_scores_codex":[0.9998901,0.00001438412,0.000004608252,0.00004265338,0.00002254324,0.00002567408],"domain_scores_gemma":[0.9998145,0.00003658395,0.00004719483,0.00001315698,0.00004748128,0.00004116846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002120661,0.00001814035,0.9381595,0.0000293915,0.0001207019,0.0002607654,0.001235234,0.002580098,0.04272209,0.001099561,0.0002254738,0.01333698],"study_design_scores_gemma":[0.000001276668,0.000006227281,0.9984549,0.000002692172,0.000009552946,0.00002405766,0.0001927787,0.0008312794,0.0002104567,0.00009135428,0.0001715561,0.000003895049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993849,0.0000907135,0.0001077679,0.00003364334,0.00000112603,6.324119e-7,0.00005372977,0.000001665602,0.0003258476],"genre_scores_gemma":[0.9997255,0.00005620822,0.00006551122,0.00001164293,9.101639e-7,6.103922e-7,0.00004704733,7.840231e-7,0.00009172753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5406399,"threshold_uncertainty_score":0.9133728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009360485388983514,"score_gpt":0.2251666711688484,"score_spread":0.2158061857798649,"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."}}