{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.010382,0.0001285408,0.0002166069,0.0001019443,0.0001493336,0.0001667447,0.001007908,0.0002869399,0.00008910889],"category_scores_gemma":[0.01048445,0.00009295397,0.0001395158,0.0002848655,0.0003134218,0.001119123,0.0001673113,0.001666722,0.0003497761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354713,"about_ca_system_score_gemma":0.0009262253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144176,"about_ca_topic_score_gemma":0.0001299077,"domain_scores_codex":[0.9965581,0.0003377212,0.0007257175,0.0001100334,0.002078251,0.0001901655],"domain_scores_gemma":[0.995658,0.002105853,0.0003967765,0.0002400614,0.001472092,0.0001272562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001081329,0.00004613143,0.000008335416,0.001028735,0.00003715974,9.532032e-8,0.08864593,0.0006247775,0.000001183765,0.7055751,0.009738451,0.1942833],"study_design_scores_gemma":[0.0001068163,0.00002170179,0.00007125673,0.002272291,0.00001280589,0.000003014015,0.001556484,0.0009549953,0.00002019693,0.0009410878,0.9939252,0.0001141998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0002647666,0.002019792,0.04986798,0.2470969,0.001015181,0.0007909093,0.00005583554,0.00007799498,0.6988106],"genre_scores_gemma":[0.1722395,0.1397357,0.03758548,0.6368233,0.002573203,0.0001980838,0.00035925,0.00003671578,0.01044879],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9841867,"threshold_uncertainty_score":0.9978507,"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."}}