{"id":"W2034359397","doi":"10.1073/pnas.1009882107","title":"Heritable victimization and the benefits of agonistic relationships","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"School of Life Sciences and Biotechnology Division of Life Sciences, Korea University; University of California, Los Angeles; National Geographic Society; National Science Foundation","keywords":"Sociality; Agonistic behaviour; Heritability; Trait; Biology; Aggression; Selection (genetic algorithm); Population; Variation (astronomy); Kin selection; Evolutionary biology; Psychology; Social psychology; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004931923,0.0002316405,0.0002359729,0.000546602,0.0002802299,0.0004621413,0.0001772155,0.0001691393,0.001717452],"category_scores_gemma":[0.002557636,0.0001315343,0.0001581464,0.000283691,0.000406196,0.0002390351,0.0006424749,0.0003977764,0.00008383152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668861,"about_ca_system_score_gemma":0.00008820354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008026845,"about_ca_topic_score_gemma":0.001840777,"domain_scores_codex":[0.9995453,0.0001779854,0.00002265218,0.0001358652,0.00007657933,0.00004159906],"domain_scores_gemma":[0.9973061,0.001010032,0.0008889688,0.0004882523,0.0001242709,0.0001823888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002373297,0.0001506847,0.8567566,0.00008925713,0.000611156,0.0006670273,0.0006664413,0.002258214,0.08574083,0.0045741,0.0002191864,0.04802908],"study_design_scores_gemma":[0.000002848898,0.00006223543,0.9956886,0.000004906884,0.00006217461,0.000412146,0.00007710972,0.0009379259,0.00125662,0.001223693,0.000264779,0.000006888002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966897,0.0002441898,0.001566811,0.00004833913,0.000004130726,0.000003957321,0.0001053875,0.00001647678,0.001320965],"genre_scores_gemma":[0.9992798,0.00007343868,0.0004164231,0.000008351519,0.000005699805,0.000003395705,0.0000463506,0.000003172616,0.0001632911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001717452,"threshold_uncertainty_score":0.005745411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883209576236452,"score_gpt":0.2948151392310688,"score_spread":0.2559830434687043,"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."}}