{"id":"W2003538822","doi":"10.1142/s0218194007003367","title":"PROTECT VIRTUAL PROPERTY IN ONLINE GAMING SYSTEM","year":2007,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Entertainment; Property (philosophy); TRACE (psycholinguistics); Metaverse; Virtual world; Order (exchange); Virtual economy; Computer security; Virtual reality; Multimedia; Internet privacy; Human–computer interaction; World Wide Web; Business","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":[0.0008093931,0.0001626853,0.0002081192,0.0007412267,0.00002108212,0.00009366299,0.0006047303,0.00006968228,8.707934e-7],"category_scores_gemma":[0.0004582765,0.0001321979,0.00006952129,0.0003993184,0.00001065865,0.0005389174,0.0001737633,0.0003945057,0.00000132653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401791,"about_ca_system_score_gemma":0.00005112922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009812096,"about_ca_topic_score_gemma":0.00000751126,"domain_scores_codex":[0.9988287,0.00001059283,0.0004917955,0.0001665568,0.0002700703,0.0002323001],"domain_scores_gemma":[0.9991763,0.0002087321,0.0001020953,0.0001250772,0.0002633526,0.0001244108],"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":[0.0002509414,0.001163197,0.02121736,0.001296936,0.0008630973,0.003730124,0.01150895,0.1628505,0.0221666,0.1090926,0.0002657898,0.6655938],"study_design_scores_gemma":[0.003534497,0.0005109558,0.05964061,0.005165662,0.00002967307,0.003597326,0.0005102314,0.8902521,0.006056509,0.00007132188,0.02938494,0.001246216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1673475,0.0008524467,0.8301253,0.00002261933,0.001446385,0.0000600259,0.000004739048,0.00012443,0.00001655551],"genre_scores_gemma":[0.8881881,0.00003080927,0.1113384,0.00000535016,0.0004133888,0.000002007591,0.000002147406,0.00001452056,0.000005297571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7274015,"threshold_uncertainty_score":0.5390874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007286633045632748,"score_gpt":0.2255998490962202,"score_spread":0.2183132160505874,"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."}}