{"id":"W1521974481","doi":"10.1007/978-0-387-09699-5_52","title":"Assessing the Likelihood of Privacy Policy Compliance","year":2008,"lang":"en","type":"book-chapter","venue":"IFIP International Federation for Information Processing/IFIP","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Compliance (psychology); Privacy policy; Internet privacy; Business; Information privacy; Privacy by Design; Personally identifiable information; Public relations; Computer security; Computer science; Political science; Psychology; Social psychology","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":[0.03084712,0.000559838,0.0006561108,0.003989657,0.000843967,0.00341215,0.00132949,0.003615271,0.004134337],"category_scores_gemma":[0.2472519,0.0005346865,0.0008816642,0.002508417,0.002121807,0.006266986,0.002593081,0.002878994,0.0009325636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006877532,"about_ca_system_score_gemma":0.001132503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111112,"about_ca_topic_score_gemma":0.0008504219,"domain_scores_codex":[0.9678138,0.01477474,0.002436725,0.003197751,0.0102038,0.001573046],"domain_scores_gemma":[0.5746047,0.3674034,0.03389001,0.0113898,0.009798232,0.002913881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001371587,0.0003254795,0.9189631,0.0001405349,0.0003053448,0.0005612196,0.0007526478,0.02785739,0.00130541,0.006557403,0.001075109,0.04078481],"study_design_scores_gemma":[0.0001601859,0.002007368,0.3615572,0.000190917,0.0004075681,0.005049737,0.003246076,0.5588146,0.01490301,0.04940096,0.004053709,0.000208648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531712,0.0001919031,0.03121711,0.001267199,0.00002831521,0.0001904702,0.001124787,0.0002799629,0.01252913],"genre_scores_gemma":[0.9951611,0.00005159007,0.003880072,0.00005613765,0.00002122966,0.00003372349,0.0004661986,0.00001058666,0.0003194026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03084712,"threshold_uncertainty_score":0.1631371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242589516429295,"score_gpt":0.3147688203463355,"score_spread":0.2723429251820425,"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."}}