{"id":"W4404845567","doi":"10.1177/08902070241298850","title":"Wherefore art thou competitors? How situational affordances help differentiate among prosociality, individualism, and competition","year":2024,"lang":"en","type":"article","venue":"European Journal of Personality","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Winnipeg","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Social Sciences and Humanities Research Council of Canada; Centro de Estudios de Conflicto y Cohesión Social; H2020 European Research Council; Akademie Věd České Republiky; Agencia Nacional de Investigación y Desarrollo; China Scholarship Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Grantová Agentura České Republiky","keywords":"Psychology; Thou; Situational ethics; Affordance; Competition (biology); Competitor analysis; Social psychology; Individualism; Cognitive 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":[0.002697031,0.000133909,0.0002323381,0.00008273518,0.0004155497,0.0004460849,0.0002452513,0.00005223683,0.0004222719],"category_scores_gemma":[0.0001307011,0.0001108419,0.0001814154,0.0001765822,0.0007569523,0.0005159846,0.00005322562,0.0003467037,0.00003411331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009132223,"about_ca_system_score_gemma":0.00009040256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006872311,"about_ca_topic_score_gemma":0.0005837194,"domain_scores_codex":[0.9971582,0.001492637,0.0003209638,0.0001997582,0.0005980543,0.0002304039],"domain_scores_gemma":[0.9992055,0.0001321735,0.0002559416,0.00006110433,0.0001830036,0.0001622262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001586231,0.0004365965,0.3489255,0.0002782538,0.000713466,0.0003732338,0.2141778,0.000001141117,0.001158459,0.3713349,0.03900019,0.02344179],"study_design_scores_gemma":[0.0003794383,0.0001705257,0.8478106,0.0002753917,0.00006344963,0.00001983647,0.00941965,0.000008387252,0.00001200691,0.008487114,0.1331586,0.0001949641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582825,0.0006709729,0.0006827608,0.01102463,0.002015895,0.0001053055,0.00003724374,0.00004944591,0.02713121],"genre_scores_gemma":[0.9944354,0.000185189,0.0001986157,0.0002001545,0.003193682,0.000001252534,0.00001272342,0.00001596165,0.001757049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988851,"threshold_uncertainty_score":0.4623581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397272192999556,"score_gpt":0.3076455895051251,"score_spread":0.2736728675751295,"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."}}