{"id":"W3095529345","doi":"10.1111/mec.15720","title":"Population genomics for wildlife conservation and management","year":2020,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":675,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wildlife; Population genomics; Biology; Population; Conservation genetics; Genomics; Wildlife conservation; Wildlife management; Adaptive management; Conservation biology; Minimum viable population; Environmental resource management; Biodiversity; Population size; Effective population size; Ecology; Endangered species; Genetic variation; Genome; Genetics; Microsatellite","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":[0.002224933,0.001193073,0.0014351,0.002445763,0.0005064102,0.002046893,0.001876551,0.00280538,0.01307125],"category_scores_gemma":[0.003032292,0.0003105584,0.0008797852,0.002810344,0.001304156,0.003241178,0.00152598,0.00414844,0.006474621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740909,"about_ca_system_score_gemma":0.002650935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393508,"about_ca_topic_score_gemma":0.002665059,"domain_scores_codex":[0.9993656,0.000186448,0.00005495826,0.0001184102,0.0002126197,0.00006193625],"domain_scores_gemma":[0.9983714,0.0009670531,0.0001273582,0.00007734675,0.0003166088,0.0001402849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003207162,0.00004145661,0.0002061882,0.00967698,0.00008591801,0.000109838,0.00009081245,0.0004033469,0.0007636436,0.02538391,0.06011969,0.9030861],"study_design_scores_gemma":[0.000003703432,0.00001970818,0.0002946845,0.002369115,0.00003434184,0.0001977414,0.00003540467,0.00004447687,0.0001026513,0.005593545,0.9912938,0.00001068316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006679857,0.9925775,0.0007238353,0.001869674,0.001007068,0.00001169861,0.00005593544,0.00003292276,0.003654594],"genre_scores_gemma":[0.0008559641,0.9946253,0.0008332148,0.0009336908,0.0006214563,0.00001692682,0.00008473705,0.000009594134,0.002019066],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01307125,"threshold_uncertainty_score":0.04372764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073538111211755,"score_gpt":0.2734135134786449,"score_spread":0.2526781323665274,"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."}}