{"id":"W1481882466","doi":"","title":"REDUCED GENETIC DIVERSITY IN TWO INTRODUCED AND ISOLATED MOOSE POPULATIONS IN ALASKA","year":2009,"lang":"en","type":"article","venue":"Alces : A Journal Devoted to the Biology and Management of Moose","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Population; Genetic diversity; Gene flow; Biology; Ecology; Population bottleneck; Effective population size; Geography; Genetic drift; Small population size; Population size; Microsatellite; Allele; Demography; Archaeology; Genetics; Habitat; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002921968,0.0002152224,0.0002802663,0.0008386624,0.0006565699,0.0004661959,0.0002329101,0.0001977133,0.00042024],"category_scores_gemma":[0.0006143508,0.0001158199,0.0001488579,0.0004253997,0.0006371955,0.0001537636,0.000507955,0.0002840932,0.00003524462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864635,"about_ca_system_score_gemma":0.0002434941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007098,"about_ca_topic_score_gemma":0.02738834,"domain_scores_codex":[0.9998031,0.00003864183,0.00001686582,0.0000757282,0.00003707744,0.00002856556],"domain_scores_gemma":[0.9996756,0.00006553256,0.00007748156,0.00002667234,0.00005866368,0.00009608871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001049752,0.00032157,0.8769508,0.00005312612,0.0002751655,0.0008911612,0.008760805,0.0006105153,0.09715419,0.0003485833,0.00005480087,0.01352957],"study_design_scores_gemma":[0.00001457374,0.0002300828,0.995847,0.000008738003,0.00005080945,0.000323169,0.001539602,0.0004500208,0.001239787,0.00007738087,0.0002078229,0.00001097933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999039,0.00001071271,0.00002566425,7.184535e-7,3.539144e-7,8.351233e-7,0.000004443738,4.676351e-7,0.00005278382],"genre_scores_gemma":[0.9997186,0.0000197856,0.0001151128,0.000004125465,8.624598e-7,0.000003301656,0.00004796198,9.602625e-7,0.00008943591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007098,"threshold_uncertainty_score":0.02002472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993844666320787,"score_gpt":0.2875871684914016,"score_spread":0.2676487218281937,"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."}}