{"id":"W1990191476","doi":"10.1109/icws.2004.86","title":"Privacy policy compliance for Web services","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privacy policy; Privacy by Design; Information privacy; Internet privacy; Privacy software; Privacy law; Web service; Computer science; The Internet; Legislation; Business; Computer security; Compliance (psychology); World Wide Web; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033861,0.0006124165,0.0009923583,0.002664823,0.004300629,0.008377898,0.003398283,0.004570459,0.00331185],"category_scores_gemma":[0.07072509,0.001046994,0.00157764,0.002707968,0.006551565,0.009421103,0.006802501,0.006402405,0.001345669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003848769,"about_ca_system_score_gemma":0.009719622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327045,"about_ca_topic_score_gemma":0.001588772,"domain_scores_codex":[0.9321856,0.02617745,0.006648181,0.004608757,0.02779035,0.002589745],"domain_scores_gemma":[0.9387839,0.0264158,0.005368185,0.01786332,0.01062213,0.0009466788],"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":[0.00008533944,0.0002530789,0.002259274,0.0003609124,0.00006596181,0.0004085833,0.001621347,0.01800058,0.004347588,0.8872613,0.005161159,0.08017486],"study_design_scores_gemma":[0.00009406263,0.0001470346,0.00107691,0.0004773534,0.00008219812,0.0008489812,0.0007111988,0.2145765,0.01947597,0.6707357,0.09168772,0.00008631401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01725089,0.0003124705,0.9497369,0.005383825,0.00009529593,0.001072477,0.000190383,0.001852622,0.02410508],"genre_scores_gemma":[0.3330579,0.00049464,0.6581489,0.001546846,0.0001739466,0.00156128,0.0007710835,0.0003259279,0.003919508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.033861,"threshold_uncertainty_score":0.1790762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509666081566735,"score_gpt":0.3496376601396964,"score_spread":0.2986710519830229,"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."}}