{"id":"W2109871184","doi":"10.1109/hicss.2007.207","title":"Enabling Web Services Policy Negotiation with Privacy preserved using XACML","year":2007,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"XACML; Negotiation; Computer science; Privacy policy; Enforcement; Web service; Context (archaeology); Information privacy; Markup language; Access control; Knowledge management; World Wide Web; Computer security; XML; Political science","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":[0.0005655455,0.00008470623,0.0001024094,0.0001251071,0.0005341731,0.0001954693,0.0002826225,0.00007035436,0.0001749995],"category_scores_gemma":[0.00006998848,0.00006452343,0.00002868066,0.0005558824,0.00006257804,0.0008285561,0.0000541742,0.00006922534,0.00001503828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008736023,"about_ca_system_score_gemma":0.0002624692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04425978,"about_ca_topic_score_gemma":0.0319626,"domain_scores_codex":[0.9989076,0.00004987602,0.0001530809,0.0001668776,0.000342962,0.0003796325],"domain_scores_gemma":[0.9994341,0.00008666773,0.00009755771,0.0001373014,0.0001272326,0.0001171778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000287918,0.0002176872,0.7235066,0.0001121796,0.0001468391,0.00002788193,0.03282005,0.0007676566,0.007288411,0.2093728,0.00007844192,0.02537346],"study_design_scores_gemma":[0.01020472,0.0003723463,0.5040053,0.0004359001,0.000342736,0.00001209911,0.1003239,0.05436322,0.007483585,0.02293578,0.2966131,0.002907316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890067,0.00007418777,0.003422151,0.001526467,0.00007250244,0.0002157793,8.413818e-7,0.0001472019,0.1044739],"genre_scores_gemma":[0.9960943,0.00001526558,0.00159089,0.0004090262,0.0008274239,0.00000186615,0.00000203124,0.000009420466,0.001049811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2965346,"threshold_uncertainty_score":0.9857016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866092433976737,"score_gpt":0.3383955874084357,"score_spread":0.3097346630686683,"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."}}