{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001955409,0.00008491447,0.0001179185,0.00002301961,0.00015271,0.00001706053,0.00005671396,0.0001184318,0.00009682868],"category_scores_gemma":[0.000004340274,0.00004112411,0.00003021107,0.0001558467,0.00006476242,0.0001038273,0.00007208004,0.0001070958,0.00006618014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003954623,"about_ca_system_score_gemma":0.000002512594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000162565,"about_ca_topic_score_gemma":0.001742256,"domain_scores_codex":[0.9992552,0.00005747108,0.0001281136,0.0002832927,0.00005444969,0.000221469],"domain_scores_gemma":[0.9998833,0.00002240584,0.00004004762,0.00002020155,0.000007066849,0.00002701341],"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":[0.00003560234,0.0001209973,0.3921181,0.000003344806,0.000001025044,0.00002564785,0.0004256208,0.000006878104,0.5179542,0.00009585388,0.0000935486,0.08911925],"study_design_scores_gemma":[0.0001161181,0.0003554946,0.9969646,0.000001885311,0.000008146571,0.000006263822,0.000718176,0.00001862652,0.000923378,0.0001307372,0.0006570495,0.00009948709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997927,0.00001172534,8.664063e-7,0.001659127,0.0001242064,0.000187612,0.000005989134,0.00006566475,0.00001783726],"genre_scores_gemma":[0.9994137,0.0000374931,0.0000211713,0.00002332635,0.000158237,0.00007213128,0.00005242484,9.975477e-7,0.0002205658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6048466,"threshold_uncertainty_score":0.1676992,"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."}}