{"id":"W1506318752","doi":"10.1111/evo.12557","title":"Quantifying inbreeding avoidance through extra‐pair reproduction","year":2014,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Washington State University","keywords":"Biology; Inbreeding; Inbreeding avoidance; Reproduction; Inbreeding depression; Evolutionary biology; Zoology; Ecology; Mating; Mate choice; Demography; Population","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":[0.0006063455,0.0002966085,0.0002920715,0.0007784186,0.000193731,0.0003147952,0.0003096726,0.0002653613,0.0006041388],"category_scores_gemma":[0.001281689,0.0001791866,0.0002117549,0.0003404959,0.0002616993,0.0003239481,0.0003938619,0.0003587385,0.0001127588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652191,"about_ca_system_score_gemma":0.00007359702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005796686,"about_ca_topic_score_gemma":0.002150872,"domain_scores_codex":[0.9995629,0.0001398566,0.00003474279,0.0001270761,0.00009743382,0.00003784282],"domain_scores_gemma":[0.9986957,0.0004172057,0.0005587664,0.0001519544,0.00007099874,0.000105496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002619562,0.0003222023,0.8058867,0.0001068285,0.0004806217,0.0001209209,0.0003208484,0.003090782,0.1612928,0.0003155489,0.0001129194,0.02768797],"study_design_scores_gemma":[0.000003762224,0.0003141199,0.9878644,0.000007460955,0.00006644792,0.0002376467,0.00006115366,0.00414985,0.006855758,0.0002414588,0.0001878051,0.00001006257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969331,0.0001218605,0.002287325,0.000003040411,0.000001458371,0.00001091995,0.00006489665,0.00001203227,0.0005653164],"genre_scores_gemma":[0.9981459,0.00006185907,0.001490939,0.00001026332,0.000001788235,0.00001471403,0.0001066571,0.000004110092,0.0001638054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007784186,"threshold_uncertainty_score":0.00320667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06584905572686103,"score_gpt":0.2640078293734631,"score_spread":0.1981587736466021,"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."}}