{"id":"W4212919882","doi":"10.1109/icws.2004.1314735","title":"Privacy policy compliance for Web services","year":2004,"lang":"en","type":"article","venue":"Proceedings. IEEE International Conference on Web Services, 2004.","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Privacy policy; Privacy by Design; Information privacy; Internet privacy; Privacy software; Web service; Privacy law; Computer science; The Internet; Legislation; Business; Compliance (psychology); Computer security; World Wide Web; Law","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"],"consensus_categories":[],"category_scores_codex":[0.0005863465,0.0003436612,0.0002964337,0.0003602424,0.000750787,0.0008316258,0.002501404,0.0002554026,0.0002285257],"category_scores_gemma":[0.0001704147,0.0003616535,0.0001286342,0.0005121807,0.0001750767,0.00162983,0.0002314528,0.000337433,0.0003402475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006546773,"about_ca_system_score_gemma":0.0008623581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005278754,"about_ca_topic_score_gemma":0.003337121,"domain_scores_codex":[0.9971408,0.00002335483,0.0004664428,0.0007353998,0.0009795676,0.0006544019],"domain_scores_gemma":[0.9975857,0.00003936637,0.0004113639,0.0002532236,0.001434932,0.0002753778],"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":[0.0005195218,0.0006881045,0.003726305,0.0009469244,0.0001640261,0.000004863715,0.01402803,0.00002946327,0.02710319,0.9461035,0.002030506,0.004655533],"study_design_scores_gemma":[0.00642893,0.0006090439,0.002602193,0.002569545,0.00008414852,0.00002486217,0.01108337,0.0203018,0.006071198,0.4480684,0.5002605,0.001896005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6447501,0.0003118044,0.0006903571,0.06852628,0.00468987,0.003196861,0.001224936,0.001265906,0.2753439],"genre_scores_gemma":[0.9916918,0.0004694654,0.001725606,0.002619765,0.002446598,0.0002235943,0.0001271231,0.00003628943,0.0006597204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.49823,"threshold_uncertainty_score":0.9998835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08354757891573283,"score_gpt":0.3673474313844529,"score_spread":0.2837998524687201,"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."}}