{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03849963,0.0007650152,0.001138461,0.003029772,0.004516358,0.009640201,0.002964325,0.005666645,0.003119212],"category_scores_gemma":[0.07693838,0.001488602,0.002566513,0.002559567,0.006079853,0.01066862,0.007360372,0.0072657,0.001547275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00333106,"about_ca_system_score_gemma":0.01003131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004460695,"about_ca_topic_score_gemma":0.001847156,"domain_scores_codex":[0.9264055,0.02693895,0.008261665,0.004867792,0.02976432,0.003761717],"domain_scores_gemma":[0.9310039,0.02767361,0.005872658,0.02081164,0.01345749,0.001180721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000121567,0.000284639,0.002745032,0.0003390309,0.00009596196,0.0006117998,0.002186302,0.01896062,0.005847365,0.8955685,0.005673117,0.06756608],"study_design_scores_gemma":[0.0001366954,0.0001748511,0.001259367,0.0004957633,0.0001201195,0.001039499,0.0008059459,0.2302018,0.02376484,0.6547245,0.08715232,0.0001242732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01970268,0.0002683215,0.9503074,0.004818429,0.0001212403,0.001197731,0.000191247,0.002351585,0.02104136],"genre_scores_gemma":[0.3640729,0.0004679056,0.6247125,0.001971198,0.0002044577,0.001804191,0.0009422537,0.0005020938,0.005322347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03849963,"threshold_uncertainty_score":0.203608,"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."}}