{"id":"W191681069","doi":"","title":"Privacy Agents and Ontology for the Semantic Web","year":2004,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Access Control and Trust","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Privacy policy; World Wide Web; Information privacy; Privacy by Design; Internet privacy; Semantic Web; XML; Privacy software; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002350969,0.00004502814,0.0001304826,0.00004857437,0.0006711185,0.0002431314,0.0002529465,0.00007493758,0.00000106108],"category_scores_gemma":[0.001526518,0.0000247065,0.0001125265,0.0000983328,0.00002461822,0.0009558749,0.00001644773,0.00006974015,0.000003460122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155903,"about_ca_system_score_gemma":0.0001837755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493255,"about_ca_topic_score_gemma":0.0001258354,"domain_scores_codex":[0.9989871,0.00007022372,0.0004356634,0.00002426709,0.0003531895,0.0001295053],"domain_scores_gemma":[0.9974507,0.0004394989,0.001461338,0.00005926338,0.0005583868,0.00003079569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002853129,0.00009344264,0.1263395,0.000271881,0.00119456,2.774283e-7,0.1051125,0.01017202,0.00003144843,0.6976205,0.04656202,0.0123165],"study_design_scores_gemma":[0.00262179,0.00005036319,0.02981985,0.00004791285,0.0001183586,0.00000613394,0.006813045,0.001344719,0.000006469651,0.002914971,0.9561875,0.00006890404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5415612,0.002135814,0.09622973,0.2634433,0.03717564,0.01338437,0.0002789665,0.0001403674,0.04565069],"genre_scores_gemma":[0.9986134,0.00004889357,0.00003692164,0.0003375115,0.0003534117,0.00002201188,9.753852e-7,0.000002282986,0.0005846017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9096255,"threshold_uncertainty_score":0.5161769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232130311598599,"score_gpt":0.2999254641664695,"score_spread":0.2776041610504835,"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."}}