{"id":"W4390227467","doi":"10.1093/beheco/arad107","title":"Exploration and social environment affect inbreeding avoidance in a small mammal","year":2023,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Bishop's University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Inbreeding avoidance; Inbreeding; Mate choice; Inbreeding depression; Mating; Affect (linguistics); Context (archaeology); Mating system; Preference; Sexual selection; Reproductive success; Attraction; Ecology; Evolutionary biology; Zoology; Statistics; Demography; Population; Communication; Psychology","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":[0.0002045139,0.0001816293,0.0001836451,0.0003488942,0.0002303235,0.0003356164,0.0001148404,0.0002088096,0.001226808],"category_scores_gemma":[0.000825698,0.0001429561,0.00009524211,0.000107106,0.0003333322,0.0001538134,0.0002609006,0.0002142635,0.0001113732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008797085,"about_ca_system_score_gemma":0.00006243678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077187,"about_ca_topic_score_gemma":0.003436778,"domain_scores_codex":[0.999921,0.00003104157,0.000004214599,0.00001858902,0.0000114775,0.00001375806],"domain_scores_gemma":[0.9993036,0.0002163604,0.0002591037,0.00003981924,0.00003903116,0.0001421172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001793563,0.0002247046,0.969744,0.00001736193,0.00007920722,0.0001298032,0.0003409487,0.0001908322,0.02590686,0.00002712905,0.00006713249,0.003092552],"study_design_scores_gemma":[0.000001046622,0.00008403869,0.9994129,8.751275e-7,0.000006423011,0.00004153655,0.00007388988,0.0001990417,0.0001444033,0.00001392439,0.00002058995,0.00000133499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998956,0.00001067081,0.00001996252,0.000003907162,3.283125e-7,6.531391e-7,0.000006018111,8.365599e-7,0.00006197629],"genre_scores_gemma":[0.9998348,0.000008947637,0.00006172616,0.000006820188,0.000001295139,0.000001688471,0.00001334404,7.076574e-7,0.00007063137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001226808,"threshold_uncertainty_score":0.004104078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09346269850368773,"score_gpt":0.2720671452212068,"score_spread":0.1786044467175191,"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."}}