{"id":"W1739227878","doi":"10.1109/ihtc.2014.7147532","title":"Empowering users through privacy management recommender systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Recommender system; Computer science; Internet privacy; Information privacy; World Wide Web; Privacy software; Ontology; Personally identifiable information; Privacy policy; Set (abstract data type); Service provider; Service (business); Computer security; Business","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":[0.007845731,0.0007882133,0.0008274158,0.001248111,0.001762844,0.003695268,0.001695454,0.00205846,0.003229031],"category_scores_gemma":[0.01856818,0.0005840067,0.00083983,0.001241653,0.0006622984,0.004699966,0.002548709,0.002403517,0.001713997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611474,"about_ca_system_score_gemma":0.001545878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005686064,"about_ca_topic_score_gemma":0.008794288,"domain_scores_codex":[0.9950134,0.002768591,0.0003234702,0.0006130096,0.001036151,0.0002454285],"domain_scores_gemma":[0.9868226,0.006681678,0.0008778609,0.00286333,0.002290564,0.0004640638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006820586,0.001845419,0.06044304,0.0007645348,0.0005100511,0.001032417,0.009381835,0.02848981,0.02549852,0.04217727,0.03273852,0.7964365],"study_design_scores_gemma":[0.000356312,0.0008771167,0.01514762,0.0003660687,0.0009370685,0.00138126,0.005138192,0.7142061,0.02888795,0.06734966,0.1649473,0.0004052868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1654235,0.001435048,0.7936771,0.006480751,0.0002106918,0.0008107179,0.0003730235,0.007945736,0.02364341],"genre_scores_gemma":[0.6859205,0.001010083,0.301886,0.0009984284,0.0001462058,0.0003055379,0.0005595636,0.0001340075,0.009039745],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007845731,"threshold_uncertainty_score":0.0414927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04740183867985957,"score_gpt":0.338193924403421,"score_spread":0.2907920857235614,"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."}}