{"id":"W4400573024","doi":"10.1093/evolut/qpae107","title":"Social selection analysis reveals limited effect of neighbors’ traits in Tree swallows","year":2024,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université de Sherbrooke","keywords":"Biology; Intraspecific competition; Selection (genetic algorithm); Reproductive success; Disruptive selection; Sexual selection; Stabilizing selection; Ecology; Competition (biology); Natural selection; Seasonal breeder; Competitor analysis; Interspecific competition; Kin selection; Social evolution; Evolutionary biology; Zoology; 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":[0.0003113855,0.000147955,0.000346373,0.000656386,0.0004001883,0.0002714886,0.0001700789,0.0001679816,0.0009444476],"category_scores_gemma":[0.0007607405,0.00008818907,0.0002264005,0.000209369,0.000361511,0.00017835,0.0003426843,0.0001481667,0.0001457658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470918,"about_ca_system_score_gemma":0.0001109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368089,"about_ca_topic_score_gemma":0.01053539,"domain_scores_codex":[0.9997215,0.00008435728,0.00001953729,0.0001019598,0.00004104167,0.0000316725],"domain_scores_gemma":[0.999487,0.0001254443,0.0001635082,0.00005903927,0.00007406675,0.00009090256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001479401,0.00006693519,0.9229988,0.00002605523,0.0001463971,0.0002115035,0.0006754319,0.0001518636,0.06936922,0.000092346,0.00008022746,0.006033344],"study_design_scores_gemma":[8.054326e-7,0.00005344191,0.9991201,0.000001344459,0.00001535541,0.00006345531,0.0001060934,0.0003079919,0.0002480477,0.00001733685,0.00006367548,0.000002375883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999774,0.0000239414,0.00007518966,0.000002919033,6.434871e-7,7.641649e-7,0.00002091202,0.000001870542,0.00009984123],"genre_scores_gemma":[0.9997408,0.000009543808,0.00009808088,0.000004612084,0.000001483688,0.000002780592,0.00004207353,0.000002307537,0.0000984871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00368089,"threshold_uncertainty_score":0.007318914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436667571507946,"score_gpt":0.2555335262667128,"score_spread":0.2411668505516333,"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."}}