{"id":"W2119543896","doi":"","title":"Compartmentalization architectures for protection of Internet credentials and transactions from CPU resident malware: Providing foolproof protection for critical credentials and transactions","year":2012,"lang":"en","type":"article","venue":"World Congress on Internet Security","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Department of National Defence","funders":"","keywords":"Malware; Compartmentalization (fire protection); Computer science; Computer security; The Internet; Internet privacy; Operating system","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":[0.000724084,0.0009464501,0.0005657859,0.001305809,0.001323081,0.002671416,0.002522955,0.001240343,0.00580276],"category_scores_gemma":[0.00271987,0.0006852282,0.0004531237,0.0006688072,0.001524579,0.004258679,0.002428455,0.0018503,0.002529974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626763,"about_ca_system_score_gemma":0.001102868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255048,"about_ca_topic_score_gemma":0.001566079,"domain_scores_codex":[0.9987638,0.0001397462,0.0001206252,0.0001957322,0.0004849498,0.0002952442],"domain_scores_gemma":[0.9936127,0.0008552787,0.001011762,0.002989307,0.001270272,0.0002607545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002917655,0.0005929436,0.008631015,0.0008015002,0.0001938271,0.001300906,0.002369971,0.01836814,0.5100341,0.06978136,0.01961332,0.3653952],"study_design_scores_gemma":[0.0001147204,0.001414888,0.003656267,0.000178807,0.0002815104,0.002852482,0.0004798257,0.1517487,0.7516404,0.01800538,0.06937151,0.0002554793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3673093,0.003869437,0.584115,0.0009497867,0.0005601471,0.0008708379,0.0002368575,0.0253252,0.01676341],"genre_scores_gemma":[0.9109348,0.0008816456,0.07006483,0.0003639741,0.0001022722,0.0001998153,0.0002369848,0.0004497164,0.01676594],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00580276,"threshold_uncertainty_score":0.01941216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05098760400423692,"score_gpt":0.3092759022314817,"score_spread":0.2582882982272448,"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."}}