{"id":"W1480798218","doi":"10.1007/978-3-642-10772-6_23","title":"Method-Specific Java Access Control via RMI Proxy Objects Using Annotations","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Java; Programming language; Proxy (statistics); Operating system; Machine learning","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":[0.003756732,0.001130388,0.001088548,0.001136334,0.0009952921,0.00397583,0.002657684,0.001377342,0.01118869],"category_scores_gemma":[0.007214572,0.001314229,0.001175354,0.001029405,0.001931429,0.005922231,0.003191046,0.003602858,0.006767241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185616,"about_ca_system_score_gemma":0.001430171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455263,"about_ca_topic_score_gemma":0.001759279,"domain_scores_codex":[0.996543,0.0006059554,0.0003195695,0.000568427,0.001516348,0.0004467315],"domain_scores_gemma":[0.9933009,0.001841774,0.0003541659,0.003755772,0.0005584118,0.0001888963],"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":[0.0008250498,0.0003268514,0.001974607,0.0007414056,0.000084755,0.0005840831,0.002242983,0.007086463,0.05855854,0.4411751,0.03051481,0.4558854],"study_design_scores_gemma":[0.0002411426,0.000227571,0.001868281,0.0004316937,0.000271178,0.001082062,0.0002223322,0.1424588,0.2750117,0.2365388,0.3413558,0.0002905954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007210027,0.0001833069,0.9234884,0.0001306085,0.0001392362,0.0001362232,0.0001859084,0.05004631,0.01847985],"genre_scores_gemma":[0.3715495,0.0006673041,0.5279287,0.0005071586,0.0002681839,0.0005571163,0.001786877,0.0248404,0.07189479],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01118869,"threshold_uncertainty_score":0.03742987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444871022767824,"score_gpt":0.3214490313710631,"score_spread":0.2770003211433849,"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."}}