{"id":"W3083413646","doi":"10.1177/1555412020954998","title":"Postscript: Gaming While Empire Burns","year":2020,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Reactionary; Complicity; Empire; Multitude; Racism; Sociology; Face (sociological concept); Criticism; Aesthetics; State (computer science); Movie theater; Game studies; Looming; Media studies; Politics; Political science; Law; Art; Psychology; Gender studies; Literature; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005008282,0.00007361392,0.0001005218,0.000006278663,0.00009022878,0.0001487148,0.00009596429,0.00007059184,0.0001527622],"category_scores_gemma":[0.00007317939,0.00005607028,0.00004362129,0.0001161597,0.0001233343,0.0001739758,0.00003358722,0.00008810443,0.00003274053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007800249,"about_ca_system_score_gemma":0.00002908889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002837724,"about_ca_topic_score_gemma":0.0001004317,"domain_scores_codex":[0.9994122,0.00001718384,0.00007162096,0.0001572212,0.0001476637,0.0001941299],"domain_scores_gemma":[0.9996456,0.00000717038,0.0000239393,0.00004651957,0.0000346382,0.0002421609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001227588,0.0000270559,0.002007948,0.00003511664,0.00002219177,0.00003763776,0.3266074,7.440001e-7,0.0004964928,0.0200237,0.1350085,0.515721],"study_design_scores_gemma":[0.00009680478,0.00003954165,0.0004064321,0.00001587485,0.00000741887,0.000001505015,0.02547478,0.000005765501,0.00002591155,0.0001787211,0.9736598,0.00008750978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07461569,0.006070005,0.00003235786,0.02485391,0.0003323486,0.0001967055,0.00002710134,0.0001601923,0.8937117],"genre_scores_gemma":[0.9122074,0.001189476,0.0001519849,0.005867958,0.0007512802,0.000004750259,0.000009469758,0.00000859029,0.07980915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8386512,"threshold_uncertainty_score":0.2286479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616607712018367,"score_gpt":0.2696853246622385,"score_spread":0.2435192475420548,"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."}}