{"id":"W7113049617","doi":"","title":"Wherefore art thou competitors? How situational affordances help differentiate among prosociality, individualism, and competition","year":2024,"lang":"en","type":"article","venue":"Repositório Institucional do ISCTE-IUL (ISCTE-IUL)","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","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; Akademie Věd České Republiky; Agencia Nacional de Investigación y Desarrollo; China Scholarship Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Grantová Agentura České Republiky","keywords":"Competitor analysis; Affordance; Situational ethics; Dominance (genetics); Value (mathematics); Attribution; Perception; Social comparison theory","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125322,0.0001489989,0.0001973854,0.0006068858,0.0005658425,0.001709564,0.000142523,0.0002228968,0.002473548],"category_scores_gemma":[0.003663246,0.0001237179,0.0001827567,0.0003795009,0.0005941676,0.001043854,0.0008224212,0.0003887189,0.0001973063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002224183,"about_ca_system_score_gemma":0.0002395375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003926111,"about_ca_topic_score_gemma":0.01291604,"domain_scores_codex":[0.9994209,0.0002501903,0.00003199679,0.0001022436,0.0001076655,0.00008701187],"domain_scores_gemma":[0.9980508,0.0007064592,0.0006524856,0.0001432025,0.0001216449,0.0003255067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001387191,0.00007722639,0.9466138,0.0000617151,0.0001080888,0.0001113751,0.009768901,0.0001689189,0.001791371,0.001402841,0.0004748879,0.03928209],"study_design_scores_gemma":[0.000006357117,0.00007569986,0.9822534,0.00004175802,0.00003477009,0.0002078019,0.0124942,0.001255417,0.0002250891,0.001491696,0.001891695,0.00002202691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968822,0.0000747873,0.000552744,0.0000710614,0.000006351702,0.000004900553,0.00004402669,0.000003084251,0.002360894],"genre_scores_gemma":[0.9993752,0.00003008571,0.0003612749,0.00001579029,0.000002182305,0.000002904451,0.00003286825,0.000002024478,0.0001779222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003926111,"threshold_uncertainty_score":0.008274794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478402967623053,"score_gpt":0.3026408853406077,"score_spread":0.2778568556643772,"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."}}