{"id":"W83999173","doi":"10.29173/irie163","title":"Game, Player, Ethics: A Virtue Ethics Approach to Computer Games","year":2005,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Digital Games and Media","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harvard University","keywords":"Entertainment; Computer game; Meaning (existential); Morality; Virtue; Game mechanics; Order (exchange); Ontology; Movie theater; Computer science; Game studies; Multimedia; Sociology; Epistemology; Artificial intelligence; Law; Literature; Political science; Philosophy; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004317881,0.001023968,0.0006241183,0.002460953,0.004272969,0.01006599,0.001588578,0.005414416,0.003934178],"category_scores_gemma":[0.004866343,0.0003804631,0.0004819071,0.00188429,0.03501738,0.008602431,0.003679489,0.00629512,0.0006500903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005296017,"about_ca_system_score_gemma":0.003583519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897161,"about_ca_topic_score_gemma":0.003012617,"domain_scores_codex":[0.9939231,0.004777354,0.0001542098,0.0003098215,0.0005836971,0.0002518079],"domain_scores_gemma":[0.9957892,0.002932727,0.0003134497,0.0002124423,0.0003590296,0.0003930891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000227749,0.000007832013,0.00005904602,0.00002458352,0.000001638535,0.00003127703,0.001274668,0.00009075261,0.00002083664,0.9959388,0.001134789,0.001413565],"study_design_scores_gemma":[0.000007423787,0.00001980592,0.0001951323,0.0001330028,0.000003976066,0.0001486272,0.001928225,0.001044005,0.00005906633,0.9402568,0.05619457,0.000009291191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01346633,0.02122423,0.2403131,0.07573143,0.001347076,0.0003084943,0.0001094818,0.0001282455,0.6473716],"genre_scores_gemma":[0.864517,0.01142608,0.06082207,0.01352622,0.001711469,0.001055808,0.00006206646,0.0001742687,0.04670491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01006599,"threshold_uncertainty_score":0.03842551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688050741192028,"score_gpt":0.3812235151619452,"score_spread":0.3143430077500249,"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."}}