{"id":"W2068623678","doi":"10.1109/itcc.2005.215","title":"Online gaming cheating and security issue","year":2005,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cheating; Computer security; Password; Internet privacy; Legislation; Computer science; Audit; Cybercrime; Virtual world; The Internet; Business; World Wide Web; Law; Political science; Accounting","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":[0.0001090906,0.00003919519,0.0000406588,0.00002460578,0.00006542436,0.0000768334,0.0001064209,0.00002198544,0.00002496943],"category_scores_gemma":[0.00001954678,0.00003502218,0.000009075416,0.00009026775,0.000007028484,0.0003175148,0.00006723165,0.00005979781,0.00001817095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001019397,"about_ca_system_score_gemma":0.000004908617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007693697,"about_ca_topic_score_gemma":0.00009342845,"domain_scores_codex":[0.9996485,0.00001086434,0.00006265406,0.0001304146,0.00006433997,0.00008329367],"domain_scores_gemma":[0.9997966,0.00002725174,0.00001529781,0.0001137528,0.00001351018,0.00003355465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001627741,0.00008091346,0.001832369,0.00001498407,0.000006299747,0.000002491499,0.004455945,0.00009652779,0.002824529,0.0108174,0.001655878,0.978211],"study_design_scores_gemma":[0.0002201807,0.00005363925,0.007144338,0.00001552673,0.000002402898,0.00003530403,0.000082399,0.9182662,0.01196255,0.002147709,0.05990222,0.0001675155],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984632,0.0002549248,0.2827112,0.005425948,0.0002803459,0.00006376355,5.147466e-7,0.0003881124,0.01241199],"genre_scores_gemma":[0.9268268,0.00000757174,0.07198098,0.0005484695,0.0002819136,5.984217e-7,3.530407e-7,0.000001895136,0.000351387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9780435,"threshold_uncertainty_score":0.1428163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074826065592862,"score_gpt":0.2466320332431082,"score_spread":0.2358837725871796,"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."}}