{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002276236,0.0001094521,0.0002342174,0.00002685617,0.0003591311,0.00002030419,0.0000505357,0.0001656805,0.0001406536],"category_scores_gemma":[0.0000700027,0.00004211249,0.00006437524,0.00004637726,0.0001444487,0.0001185142,0.00002541813,0.0001964174,0.000004110168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006532641,"about_ca_system_score_gemma":0.00001208696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002801556,"about_ca_topic_score_gemma":0.0001400285,"domain_scores_codex":[0.999115,0.0001467036,0.0002386958,0.0001915646,0.00013595,0.0001720542],"domain_scores_gemma":[0.9991603,0.0004009978,0.0002816755,0.000007217115,0.0001072019,0.00004255967],"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":[0.00140432,0.0001194742,0.3560124,0.000007053172,0.00001688988,0.00001851837,0.0001439159,1.864292e-7,0.5935869,0.0005195534,0.0001413494,0.0480295],"study_design_scores_gemma":[0.0005215693,0.005590192,0.9905154,0.00001116605,0.00004069778,0.0003722172,0.0001086161,0.000008223585,0.00259917,0.00007861069,0.00006655143,0.00008756696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945703,0.000009204502,0.000003057787,0.005116693,0.0001866411,0.0000746727,0.0000114114,0.000009358781,0.00001869233],"genre_scores_gemma":[0.9989297,0.000004200398,0.00001520229,0.0002109277,0.0007938231,0.000002298352,0.000002200641,0.000001274044,0.00004039633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.634503,"threshold_uncertainty_score":0.2762183,"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."}}