{"id":"W2799274176","doi":"10.1007/s10592-018-1070-y","title":"Genetic integrity, diversity, and population structure of the Cascade red fox","year":2018,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Washington Department of Fish and Wildlife; Mazamas; The Wildlife Society","keywords":"Biology; Genetic diversity; Inbreeding depression; Population; Introgression; Effective population size; Range (aeronautics); Inbreeding; Biodiversity; Population size; Ecology; Conservation genetics; Zoology; Microsatellite; Demography; Genetics; Allele","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004889109,0.0001106982,0.00009531213,0.00003398814,0.0004037414,0.00001388386,0.0002166022,0.0001870136,0.00003531795],"category_scores_gemma":[0.00006554603,0.00009501772,0.0000456439,0.0001305593,0.0001987477,0.000003702482,0.000772486,0.00007911355,7.638755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007743825,"about_ca_system_score_gemma":0.00003172776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001585717,"about_ca_topic_score_gemma":0.0004118962,"domain_scores_codex":[0.999257,0.00006915426,0.0001776076,0.0002125491,0.0001730065,0.0001107231],"domain_scores_gemma":[0.9992759,0.000008156582,0.0001441507,0.0003113919,0.000223854,0.00003658055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000223019,0.000005470342,0.9073282,0.00001374201,0.00002167466,1.110202e-7,0.0002181993,0.00006092363,0.09041125,0.0001192961,0.0006874466,0.001111366],"study_design_scores_gemma":[0.0002841475,0.00007506313,0.9528274,0.000007997078,0.00003823056,0.00001075729,0.00004249824,0.0002272136,0.04056824,0.001221428,0.004592652,0.0001043693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983755,0.0002574313,0.0004677755,0.0003032739,0.0003001582,0.0001701812,0.00004161177,0.000005965418,0.00007809279],"genre_scores_gemma":[0.9971759,0.00004947263,0.001897411,0.0005316939,0.0001296004,4.78121e-7,0.00004213756,0.000008113489,0.0001652119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04984301,"threshold_uncertainty_score":0.387471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099193622143948,"score_gpt":0.239425736777617,"score_spread":0.2184338005561775,"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."}}