{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004483763,0.00009821443,0.00009764735,0.000008441824,0.000380906,0.00003089547,0.00008772869,0.00008182904,0.00008654402],"category_scores_gemma":[0.0001112381,0.00004159592,0.00006340615,0.0002823252,0.00004915552,0.0003836081,0.00002725116,0.0001238505,0.00009682168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006167792,"about_ca_system_score_gemma":0.000002674947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003589024,"about_ca_topic_score_gemma":0.0000976517,"domain_scores_codex":[0.9989275,0.00006895194,0.0001676002,0.000467768,0.0001704587,0.0001976712],"domain_scores_gemma":[0.9997029,0.00002467564,0.00008677023,0.00008530893,0.00006873079,0.00003156227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001966981,0.00004227139,0.04641159,0.000005314947,0.000002117491,2.172656e-7,0.00007618738,0.00002430593,0.8798829,0.003270783,0.0008684313,0.06939623],"study_design_scores_gemma":[0.00008142106,0.0002302532,0.9263234,0.00002869905,0.00001515929,0.00002667271,0.000347346,0.0003226106,0.0189731,0.001657104,0.05177576,0.0002184489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949518,0.0004093167,0.001122294,0.001398771,0.0007669767,0.0001166251,0.000001437792,0.0002278963,0.0010049],"genre_scores_gemma":[0.997313,0.00002547532,0.0003788997,0.00002715013,0.001747061,0.000009599732,0.00001847769,0.00000104181,0.0004793245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8799118,"threshold_uncertainty_score":0.2929659,"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."}}