{"id":"W2165806131","doi":"10.1109/aiccsa.2009.5069336","title":"Privacy protection issues in social networking sites","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Internet privacy; Information privacy; Identity theft; Privacy protection; Computer science; Computer security; Identity (music); Privacy software; Social media; Personally identifiable information; Privacy by Design; Business; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007155788,0.00007902776,0.0001072965,0.00009442866,0.0006871752,0.0001386064,0.0002539568,0.0001281363,0.0001279277],"category_scores_gemma":[0.0002612256,0.0000802702,0.00003660467,0.0004817521,0.00005774687,0.000534737,0.00006032159,0.000173901,0.00004270513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192239,"about_ca_system_score_gemma":0.00004476395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004506535,"about_ca_topic_score_gemma":0.003542054,"domain_scores_codex":[0.9989154,0.0001879407,0.0001555589,0.0002005393,0.0002413595,0.0002991735],"domain_scores_gemma":[0.9997334,0.00001687753,0.00005331931,0.0001180399,0.00003586973,0.00004251834],"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":[0.0001768477,0.0006224204,0.01288042,0.00003110352,0.00001885793,0.00001499529,0.08785992,0.00001199641,0.0058482,0.1379232,0.03766532,0.7169468],"study_design_scores_gemma":[0.0005797117,0.0001525362,0.05416975,0.00003446623,0.000008150595,0.000001308152,0.003439165,0.0005535714,0.0008410853,0.3037294,0.6360552,0.0004356509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6663592,0.001164886,0.008279989,0.104949,0.001452734,0.003005958,0.000004312755,0.001491993,0.2132919],"genre_scores_gemma":[0.9962656,0.0001349181,0.0004331367,0.0002655917,0.002280717,0.00001727059,0.000004613403,0.000004291331,0.0005937977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165111,"threshold_uncertainty_score":0.6812564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05770150069267849,"score_gpt":0.3437637549536972,"score_spread":0.2860622542610187,"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."}}