{"id":"W1509537528","doi":"10.1002/9781118767771.wbiedcs070","title":"Online Games and Counterplay","year":2015,"lang":"en","type":"other","venue":"The International Encyclopedia of Digital Communication and Society","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mainstream; Game mechanics; Injustice; Game design; Game studies; Politics; Sociology; Video game design; Computer science; Public relations; Media studies; Multimedia; Political science; Social psychology; Psychology; Law","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":[0.0002617571,0.0001079423,0.0001512228,0.00002700308,0.00004639515,0.0001449329,0.000537693,0.0001146832,0.0001190783],"category_scores_gemma":[0.0001819018,0.00008192449,0.00005949146,0.00005958945,0.0008019616,0.0001818272,0.0002683331,0.0001437009,0.000005807824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003145517,"about_ca_system_score_gemma":0.0001357196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002843496,"about_ca_topic_score_gemma":0.0007542523,"domain_scores_codex":[0.9992334,0.00003045696,0.0001690485,0.0001154326,0.0003561408,0.0000955396],"domain_scores_gemma":[0.9992088,0.0001671677,0.0001888113,0.0002349163,0.0001212198,0.00007904867],"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":[0.000004954378,0.00009628358,0.0002636721,0.00001552403,0.0001130447,1.715422e-7,0.01321636,1.5802e-7,2.848554e-7,0.0146577,0.9245342,0.04709763],"study_design_scores_gemma":[0.0001489015,0.00001077919,0.0001041653,0.0000782184,0.00001393755,9.811152e-7,0.007343483,0.00001571496,9.38931e-8,0.001140803,0.9910554,0.0000875147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004057821,0.0029505,0.000004734404,0.002663823,0.0001724566,0.0001384581,0.0004433234,0.0000461335,0.9931748],"genre_scores_gemma":[0.01045471,0.05179253,0.0002086219,0.0002973474,0.0002070639,0.000006165181,0.0003169558,0.00004621141,0.9366704],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06652119,"threshold_uncertainty_score":0.3340784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915770188428794,"score_gpt":0.3045524361207518,"score_spread":0.2853947342364639,"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."}}