{"id":"W1555201727","doi":"10.1007/978-3-540-70567-3_6","title":"P4A: A New Privacy Model for XML","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Information privacy; Permission; Internet privacy; Privacy by Design; Privacy software; XML; Data collection; Flexibility (engineering); Privacy policy; Computer security; World Wide Web","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","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0007168027,0.0008009004,0.0007765116,0.001132516,0.0004047582,0.0005647494,0.06982067,0.0007066829,0.000007844064],"category_scores_gemma":[0.006373213,0.0007649965,0.0002390324,0.0008020416,0.0009726656,0.001293576,0.09622557,0.001172561,0.00004360251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005269317,"about_ca_system_score_gemma":0.00194266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002398566,"about_ca_topic_score_gemma":0.00003319314,"domain_scores_codex":[0.9940888,0.00001749371,0.0007179604,0.002755483,0.001207588,0.001212654],"domain_scores_gemma":[0.984176,0.0007133899,0.0004113558,0.01415591,0.0002762914,0.000267096],"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":[0.00001239877,0.00004271686,0.00001232234,0.00006393957,0.00002455657,0.00008437526,0.0006220454,0.02877742,0.00009036482,0.01251379,0.04735992,0.9103962],"study_design_scores_gemma":[0.0002209279,0.00007374993,0.000004067983,0.0001391037,0.000004080243,0.00005822056,1.722626e-8,0.5399861,0.0004151703,0.4546994,0.003931608,0.0004675699],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001388377,0.000808028,0.9808645,0.01397811,0.001386263,0.0008834092,0.00002856626,0.0009955075,0.001041795],"genre_scores_gemma":[0.004132451,0.0002446992,0.9926242,0.001645463,0.0003989976,0.00002796476,0.00001285233,0.00006363881,0.0008497432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9099286,"threshold_uncertainty_score":0.9994801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262114688647754,"score_gpt":0.2781761186818644,"score_spread":0.2255549717953868,"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."}}