{"id":"W2219702576","doi":"10.1139/cjz-2015-0038","title":"Origin and genetic structure of a recovering bobcat (<i>Lynx</i> <i>rufus</i>) population","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kentucky Department of Fish and Wildlife Resources; California Department of Fish and Wildlife; Pennsylvania Game Commission; Ohio State University","keywords":"Biology; Population; Inbreeding; Population bottleneck; Microsatellite; Effective population size; Ecology; mtDNA control region; Zoology; Small population size; Population genetics; Evolutionary biology; Genetic variation; Allele; Habitat; Genetics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003266275,0.0001042752,0.0001969133,0.000906583,0.0006238688,0.000348916,0.0002111313,0.0001731985,0.0006685653],"category_scores_gemma":[0.0004482878,0.000101788,0.0001388175,0.0004683178,0.00041228,0.0001840376,0.0003892393,0.0002627223,0.00008437488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004839023,"about_ca_system_score_gemma":0.0002548023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01916374,"about_ca_topic_score_gemma":0.03363934,"domain_scores_codex":[0.9998423,0.00002499939,0.00001115119,0.0000679767,0.00002363489,0.00002986029],"domain_scores_gemma":[0.9996862,0.00004049642,0.0001174593,0.00002423947,0.00007354224,0.00005806833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001352408,0.00007209409,0.9592038,0.00001209932,0.00004670471,0.0001620598,0.001951931,0.0002224198,0.02977692,0.0002135727,0.00007313804,0.008129895],"study_design_scores_gemma":[0.000003217512,0.00003804951,0.9985992,0.000004750325,0.00001065529,0.0001165873,0.0004720837,0.0002636934,0.0002552783,0.00003127981,0.0002008775,0.000004266233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998021,0.00001237516,0.00005853461,0.000003906409,3.623194e-7,0.000001875668,0.00002370778,6.344257e-7,0.00009659788],"genre_scores_gemma":[0.9996352,0.0000169578,0.0001545219,0.000005862062,9.289726e-7,0.000004251462,0.0001137482,9.331397e-7,0.00006754567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9808363,"threshold_uncertainty_score":0.03810436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281796553477102,"score_gpt":0.2156407653309691,"score_spread":0.2028227997961981,"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."}}