{"id":"W2911839033","doi":"10.1016/j.scijus.2019.01.005","title":"Forensic investigation of cross platform massively multiplayer online games: Minecraft as a case study","year":2019,"lang":"en","type":"article","venue":"Science & Justice","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Cybernet Systems Corporation (Canada)","funders":"","keywords":"Denial-of-service attack; Computer science; Surprise; Denial; Computer security; Internet privacy; World Wide Web; Psychology; The Internet; Social psychology","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":[0.0006009853,0.0001973337,0.0002277899,0.0002108797,0.0002070545,0.0004213069,0.00122182,0.0000473483,0.000009075575],"category_scores_gemma":[0.0003308729,0.0001618692,0.00005873725,0.001634262,0.0008012869,0.00328712,0.0005995973,0.0001461232,0.0001313839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000641933,"about_ca_system_score_gemma":0.0004840095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004285956,"about_ca_topic_score_gemma":0.0001676407,"domain_scores_codex":[0.997523,0.00001825449,0.0003991172,0.0006787672,0.0009185136,0.00046234],"domain_scores_gemma":[0.9979929,0.0001572421,0.0002338673,0.000772794,0.0006063459,0.0002368769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002248019,0.00398506,0.3354256,0.0009287615,0.0001698667,0.007586368,0.1339845,0.008467847,0.05659848,0.1678664,0.00107814,0.2836842],"study_design_scores_gemma":[0.008873405,0.007857291,0.2350796,0.0005652705,0.0004049876,0.01157005,0.1019164,0.5268672,0.0699259,0.03283429,0.0008951789,0.003210322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946572,0.00001657281,0.001911608,0.00008967501,0.0008801839,0.0004546016,0.00001291753,0.00008165612,0.001895582],"genre_scores_gemma":[0.9895346,7.220851e-7,0.00941263,0.0003181369,0.00004133394,0.000007035198,0.000002555853,0.000008325998,0.0006746731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5183994,"threshold_uncertainty_score":0.6600834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301056078070283,"score_gpt":0.3056992294377083,"score_spread":0.27559362163068,"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."}}