{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001709732,0.0007011355,0.0007459314,0.001314502,0.0008025315,0.001898424,0.005690964,0.0004430116,0.00002430285],"category_scores_gemma":[0.00009316983,0.0007117421,0.0002137082,0.001554161,0.0004954147,0.001571518,0.0009785906,0.001172682,0.00003621517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037365,"about_ca_system_score_gemma":0.0008286894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336486,"about_ca_topic_score_gemma":0.00001771847,"domain_scores_codex":[0.9945039,0.0001519957,0.0009335674,0.002226437,0.001267907,0.0009161626],"domain_scores_gemma":[0.9954794,0.001085451,0.0006863931,0.001839362,0.0006537506,0.0002556487],"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":[0.000006750474,0.00005110698,0.00003395457,0.00002662288,0.00001614006,0.00005584874,0.00124823,0.1587622,0.0004505775,0.02551704,0.00002443165,0.8138071],"study_design_scores_gemma":[0.00036022,0.00008680152,0.000147858,0.0002647059,0.000009370613,0.0001420119,2.579389e-7,0.8574497,0.001157809,0.136635,0.003012581,0.0007337557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003453424,0.0008223627,0.9928073,0.0008953439,0.002046688,0.0008041831,0.000006148982,0.0003354849,0.002247899],"genre_scores_gemma":[0.09462536,0.00004695043,0.9010596,0.003157792,0.000964928,0.0000116711,0.000006764645,0.0000429088,0.00008403273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8130734,"threshold_uncertainty_score":0.9996887,"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."}}