{"id":"W2036131226","doi":"10.1145/2602570","title":"Cheating in Online Games","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Digital Games and Media","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Computer and Network Systems","keywords":"Cheating; Popularity; Population; Computer science; Limiting; Internet privacy; Computer security; Social network (sociolinguistics); Liberian dollar; Social psychology; Business; Psychology; Sociology; Social media; World Wide Web; Demography; Engineering","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":[0.0024305,0.0004550469,0.0005851731,0.001795661,0.001683668,0.002643991,0.0007767791,0.00115181,0.003149501],"category_scores_gemma":[0.02980058,0.0003739612,0.0003738181,0.001126584,0.001686508,0.003943535,0.001918665,0.001484779,0.0003869193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145554,"about_ca_system_score_gemma":0.0004887152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005606016,"about_ca_topic_score_gemma":0.006396386,"domain_scores_codex":[0.9961827,0.002297122,0.0001628944,0.0005088742,0.0005332885,0.0003150188],"domain_scores_gemma":[0.9740819,0.01548967,0.005467142,0.00254007,0.001367484,0.001053703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008862847,0.00115067,0.5678315,0.0007702269,0.0006531478,0.001526922,0.02068371,0.04184614,0.007295752,0.1310139,0.01106554,0.2152762],"study_design_scores_gemma":[0.0001159888,0.0007690611,0.4233316,0.0004984247,0.0003761719,0.002699016,0.01267218,0.3532965,0.004262692,0.1647143,0.03696318,0.0003007714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619049,0.001145142,0.0192393,0.001368949,0.00004110836,0.0001198263,0.0002483752,0.000110561,0.01582186],"genre_scores_gemma":[0.9976832,0.0001530499,0.001165084,0.0001025466,0.0000206046,0.00002063777,0.00005881072,0.00001143668,0.0007846584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005606016,"threshold_uncertainty_score":0.01285386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721247761611306,"score_gpt":0.2980379669729037,"score_spread":0.2808254893567907,"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."}}