{"id":"W2169450730","doi":"10.1111/evo.12780","title":"Resolving the conundrum of inbreeding depression but no inbreeding avoidance: Estimating sex-specific selection on inbreeding by song sparrows (<i>Melospiza melodia</i>)","year":2015,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Inbreeding depression; Inbreeding; Biology; Outbreeding depression; Population fragmentation; Inbreeding avoidance; Offspring; Selection (genetic algorithm); Genetic load; Population; Genetics; Evolutionary biology; Zoology; Demography","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":[0.000652795,0.0003030381,0.0002289765,0.0004054849,0.0002050233,0.0003327356,0.0003073739,0.0002049758,0.0001568208],"category_scores_gemma":[0.001283786,0.0002278045,0.0001738585,0.0002042931,0.0002726598,0.0002677323,0.0002924022,0.0002616175,0.00004202308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513627,"about_ca_system_score_gemma":0.0001159578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182607,"about_ca_topic_score_gemma":0.005173875,"domain_scores_codex":[0.9996874,0.0001460473,0.00002294691,0.0000873944,0.00003742847,0.00001875215],"domain_scores_gemma":[0.9990022,0.0003719536,0.0003880484,0.0001046109,0.00005543536,0.0000778956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001540834,0.00009572697,0.8710741,0.00003627535,0.0002452521,0.00007993897,0.0002820356,0.001293413,0.1144564,0.0001353243,0.00003362121,0.01211389],"study_design_scores_gemma":[0.000007365035,0.0002292852,0.9837747,0.000005889809,0.00007940058,0.00014469,0.0001696749,0.007849361,0.007443618,0.0002056484,0.00008106389,0.000009427016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993091,0.00001619977,0.0005961733,0.000003610691,2.692706e-7,0.000001634425,0.000008303936,0.000002489832,0.00006236077],"genre_scores_gemma":[0.9991554,0.00001218687,0.0007690721,0.000009011661,0.00000102925,0.000002339239,0.00002357688,0.000001648564,0.00002569221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182607,"threshold_uncertainty_score":0.003452301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417671652569749,"score_gpt":0.2312543699588635,"score_spread":0.1970776534331661,"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."}}