{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001484092,0.00007294549,0.0001209706,0.0002989442,0.00002783849,0.00002091502,0.0003942702,0.0001710476,0.0001816709],"category_scores_gemma":[0.0003319885,0.00007273391,0.00003936241,0.0003833935,0.0002356488,0.00008281371,0.000007445182,0.0002604867,0.00007152386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006355102,"about_ca_system_score_gemma":0.00002580558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003603075,"about_ca_topic_score_gemma":0.008074515,"domain_scores_codex":[0.9993001,0.00002994719,0.0001499936,0.0001772959,0.0001012071,0.0002414623],"domain_scores_gemma":[0.9995586,0.0001118914,0.00002968443,0.0002330722,0.00002418842,0.00004260491],"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":[0.000005688258,0.0001244386,0.0006581283,0.000002554998,0.000006175084,0.00000185037,0.00140884,0.0000156438,0.00006407003,0.01276758,0.00005746154,0.9848875],"study_design_scores_gemma":[0.0005207568,0.0003140261,0.0008646057,0.0001225391,0.000009800372,0.000004854431,0.008038603,0.000281558,0.003234447,0.01652244,0.9698631,0.0002232915],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8167895,0.00005937216,0.02995072,0.0189242,0.0007672655,0.0002476378,0.000008991134,0.0007019475,0.1325503],"genre_scores_gemma":[0.9851413,0.00004860293,0.001863375,0.0002196199,0.00003806324,0.00001708543,0.000001656878,0.000008520075,0.01266175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9846643,"threshold_uncertainty_score":0.4505769,"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."}}