{"id":"W3194098176","doi":"10.1111/mec.16173","title":"Are immigrants outbred and unrelated? Testing standard assumptions in a wild metapopulation","year":2021,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Norges Teknisk-Naturvitenskapelige Universitet; National Science Foundation","keywords":"Inbreeding; Biology; Inbreeding depression; Population; Outbreeding depression; Immigration; Evolutionary biology; Biological dispersal; Effective population size; Metapopulation; Population genetics; Population fragmentation; Runs of Homozygosity; Small population size; Genetic variation; Genetics; Ecology; Demography; Geography","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":[0.03023631,0.0009966433,0.001150193,0.001019742,0.001684159,0.002738192,0.004066855,0.00230098,0.001584717],"category_scores_gemma":[0.06745713,0.0006124364,0.00162414,0.000898179,0.005047962,0.004559,0.00186022,0.001384406,0.0003314587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252011,"about_ca_system_score_gemma":0.001080195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096075,"about_ca_topic_score_gemma":0.003116884,"domain_scores_codex":[0.9810204,0.009425279,0.001435062,0.006106674,0.001496783,0.0005157984],"domain_scores_gemma":[0.9260969,0.05242739,0.007194958,0.01093171,0.002365429,0.0009835865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002058983,0.0009230578,0.8584377,0.000595031,0.00387868,0.002515032,0.006300203,0.02242015,0.02742446,0.02763744,0.0004651259,0.0473442],"study_design_scores_gemma":[0.0006845352,0.004552631,0.5715221,0.0003926395,0.002183027,0.002198496,0.007489949,0.2845529,0.01243731,0.1104597,0.003034202,0.0004924195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815693,0.000108734,0.01657279,0.0001635112,0.0000208492,0.00006544562,0.0001144528,0.00003333956,0.001351556],"genre_scores_gemma":[0.9923589,0.00006040339,0.007024647,0.0002009115,0.00001719141,0.00007377467,0.0001657315,0.00001494718,0.00008346637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03023631,"threshold_uncertainty_score":0.1599067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796624234376906,"score_gpt":0.2488356448319316,"score_spread":0.2308694024881625,"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."}}