{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007317129,0.0002882358,0.0004534956,0.001509069,0.0005543822,0.001193935,0.0007432211,0.0005496099,0.002706934],"category_scores_gemma":[0.001457787,0.0003139461,0.0002240296,0.001453547,0.001516911,0.002266092,0.0007159334,0.000681449,0.0003728225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000550402,"about_ca_system_score_gemma":0.0005588199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049423,"about_ca_topic_score_gemma":0.007671901,"domain_scores_codex":[0.9997048,0.000056694,0.00001760482,0.0001348219,0.00005433423,0.00003166116],"domain_scores_gemma":[0.9982188,0.0009061219,0.0003583459,0.0002009567,0.0001664406,0.0001492385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002263492,0.0002408958,0.3593743,0.001001589,0.000437032,0.0003598913,0.002135111,0.005524655,0.2500888,0.02252879,0.001315884,0.3567668],"study_design_scores_gemma":[0.0000200543,0.0001287163,0.9086688,0.0002550778,0.0001759001,0.0009208539,0.001511748,0.004804032,0.01789829,0.03188746,0.03366956,0.00005951521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494597,0.0168238,0.01929408,0.001172407,0.00004770951,0.00001413004,0.0006596434,0.00004087034,0.01248748],"genre_scores_gemma":[0.9812942,0.007740195,0.00765208,0.0003220658,0.0001052745,0.00001355799,0.0003909247,0.00002425688,0.00245737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0049423,"threshold_uncertainty_score":0.009827077,"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."}}