{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008602093,0.0007002465,0.0003703041,0.0004427261,0.003906432,0.00726966,0.0009026784,0.003550918,0.02357272],"category_scores_gemma":[0.004893136,0.0002466803,0.0003470575,0.000364946,0.004477538,0.006039596,0.001929606,0.009632605,0.006026369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663269,"about_ca_system_score_gemma":0.001652056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004415801,"about_ca_topic_score_gemma":0.01007805,"domain_scores_codex":[0.9993234,0.0002267305,0.00002351771,0.0001145784,0.0002146404,0.00009722031],"domain_scores_gemma":[0.9982979,0.001003386,0.00006863411,0.00009055522,0.000312421,0.0002271152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009431351,0.000008616423,0.00005509047,0.00003499149,0.000001617677,0.00007632414,0.0008855791,0.00002510119,0.00005085404,0.03844721,0.9551745,0.00523069],"study_design_scores_gemma":[0.000002746853,0.0000133749,0.00009985828,0.00008283414,0.000001678253,0.00009734089,0.001212098,0.00006082155,0.0001136968,0.005023507,0.9932869,0.00000510166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002517933,0.01835231,0.001610825,0.4921568,0.3212053,0.00003572446,0.0001804428,0.0003198162,0.1636209],"genre_scores_gemma":[0.05682482,0.0133312,0.001059197,0.1787879,0.1234632,0.00007069248,0.0001082017,0.0005859901,0.6257689],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02357272,"threshold_uncertainty_score":0.07885855,"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."}}