{"id":"W2554066952","doi":"10.1111/1365-2656.12610","title":"Correlational selection on personality and social plasticity: morphology and social context determine behavioural effects on mating success","year":2016,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"University of California, Davis; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Mating; Trait; Phenotypic plasticity; Biology; Sexual selection; Context (archaeology); Assortative mating; Reproductive success; Social environment; Personality; Mate choice; Big Five personality traits; Evolutionary biology; Selection (genetic algorithm); Mating system; Adaptation (eye); Ecology; Psychology; Social psychology; Population; Demography","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":[0.0005684697,0.0002714699,0.0003143744,0.0004629774,0.0002302451,0.0003134918,0.0002267219,0.0002288352,0.001347969],"category_scores_gemma":[0.001568405,0.0002007996,0.0003114823,0.0002366296,0.000502138,0.0002484288,0.0004622223,0.0003089923,0.0002138933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719081,"about_ca_system_score_gemma":0.0001185819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008656416,"about_ca_topic_score_gemma":0.002890573,"domain_scores_codex":[0.9995928,0.0002020805,0.00002029038,0.00007768045,0.00006913564,0.00003807215],"domain_scores_gemma":[0.9986953,0.0004762059,0.0003634931,0.0001824921,0.00009836919,0.0001841631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001814144,0.00008597084,0.8844873,0.00002992545,0.000206,0.0001725339,0.0002125357,0.0005131113,0.1008406,0.0001234447,0.00007934451,0.01306782],"study_design_scores_gemma":[9.057799e-7,0.0000263996,0.9989805,8.246756e-7,0.000008759647,0.00004783232,0.00001740476,0.0004196084,0.0004539834,0.00001918049,0.0000224089,0.00000224134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993507,0.00007342331,0.0002632636,0.00001106956,9.770415e-7,0.000002196101,0.00002973918,0.000004188226,0.0002644425],"genre_scores_gemma":[0.9995736,0.00002680461,0.0002377323,0.000009489415,0.000003859729,0.000003979622,0.00003867859,0.000004131789,0.0001015867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001347969,"threshold_uncertainty_score":0.004509389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190498648088062,"score_gpt":0.2602541147544253,"score_spread":0.2283491282735447,"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."}}