{"id":"W3159869307","doi":"10.1007/s10592-021-01368-9","title":"Mapping our knowledge on birds of prey population genetics","year":2021,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Polar Knowledge Canada","keywords":"Threatened species; IUCN Red List; Endangered species; Biology; Ecology; Conservation genetics; Genetic diversity; Biodiversity; Population; Critically endangered; Apex predator; Ecosystem; Habitat; Microsatellite","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001001744,0.0001481821,0.0001507727,0.00007354738,0.00008912299,0.00002201488,0.0001409838,0.0002080792,0.00002772589],"category_scores_gemma":[0.00009742872,0.0001722893,0.00008914547,0.0002385486,0.00002495764,0.000002855858,0.0001074925,0.00007048403,0.00001431594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001344527,"about_ca_system_score_gemma":0.0001272856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007177594,"about_ca_topic_score_gemma":0.00006012417,"domain_scores_codex":[0.9989542,0.00009745428,0.0003120954,0.0003056911,0.0001749511,0.0001555472],"domain_scores_gemma":[0.9989155,0.00001185755,0.0001620308,0.0004161889,0.0004269381,0.00006750254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005325201,0.0001282011,0.6808652,0.0001103682,0.0001018747,0.000002657929,0.0003751931,0.00549579,0.2951056,0.0004657475,0.007170079,0.01012609],"study_design_scores_gemma":[0.0006267668,0.0001396665,0.7031996,0.00003336249,0.0000297599,0.000009585897,0.0003872512,0.0009083257,0.2376556,0.0003217227,0.05643369,0.0002545933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947148,0.001115293,0.002281679,0.0003158273,0.0004264955,0.0001370165,0.00004287636,0.00001345581,0.0009525354],"genre_scores_gemma":[0.9924434,0.0002758366,0.004648731,0.0004898069,0.0001917371,0.000003582433,0.0005743769,0.00001935763,0.001353204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05744996,"threshold_uncertainty_score":0.7025753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370230446024568,"score_gpt":0.2744360074020237,"score_spread":0.240733702941778,"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."}}