{"id":"W1973511475","doi":"10.5121/ijsptm.2013.2402","title":"YourPrivacyProtector: A Recommender System for Privacy Settings in Social Networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Security Privacy and Trust Management","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Dalhousie University; Agricultural Research Institute of Ontario","funders":"","keywords":"Computer science; Recommender system; Internet privacy; Context (archaeology); Social network (sociolinguistics); Information privacy; Privacy protection; Empirical research; Privacy by Design; World Wide Web; Data science; Social media","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":[0.002800486,0.0008846903,0.0009343085,0.001524473,0.001076489,0.001340003,0.00167007,0.001636785,0.003272492],"category_scores_gemma":[0.0077621,0.000527507,0.0006861361,0.001185485,0.0002120753,0.002939576,0.001399118,0.001340603,0.001913822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020641,"about_ca_system_score_gemma":0.0008070451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102523,"about_ca_topic_score_gemma":0.03083031,"domain_scores_codex":[0.9989767,0.0003920853,0.0001082341,0.0002173989,0.0002466179,0.00005900317],"domain_scores_gemma":[0.99477,0.002392804,0.0004143033,0.001282311,0.0007563629,0.0003842008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001458474,0.001543466,0.07233322,0.001104391,0.0006948238,0.001035592,0.002687882,0.0183173,0.01811135,0.008219065,0.0805105,0.7939839],"study_design_scores_gemma":[0.0004625362,0.001464301,0.04275222,0.0003342649,0.0009185345,0.003206596,0.001811733,0.7587779,0.01552925,0.01513647,0.1589914,0.0006147908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3022518,0.004428283,0.6356516,0.004724223,0.0006637514,0.001366531,0.005908882,0.02929247,0.0157123],"genre_scores_gemma":[0.5564695,0.001398168,0.4263612,0.0005979558,0.0001428734,0.0003467561,0.003788973,0.0002558131,0.01063873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0102523,"threshold_uncertainty_score":0.02038527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232635108621449,"score_gpt":0.3003051096696744,"score_spread":0.2779787585834599,"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."}}