{"id":"W1703349895","doi":"10.1007/978-3-642-11207-2_9","title":"Visualizing Privacy Implications of Access Control Policies in Social Network Systems","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; University of Calgary","funders":"","keywords":"Computer science; Neighbourhood (mathematics); Compromise; Access control; Internet privacy; Dilemma; Visualization; Information visualization; Privacy software; Computer security; Privacy protection; Information privacy; Privacy by Design; Social network (sociolinguistics); Human–computer interaction; World Wide Web; Social media; Artificial intelligence; Sociology","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":[0.001756006,0.0004553689,0.0003483807,0.001287397,0.0008352805,0.003004186,0.0006689449,0.00102215,0.002960348],"category_scores_gemma":[0.01112133,0.0003109245,0.0004155768,0.001469065,0.0008961363,0.00354218,0.001129436,0.001614449,0.0001969793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120392,"about_ca_system_score_gemma":0.0006339545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008105296,"about_ca_topic_score_gemma":0.004834583,"domain_scores_codex":[0.9988517,0.0006669169,0.00004658804,0.0001069488,0.0002230988,0.000104758],"domain_scores_gemma":[0.990243,0.007840802,0.0005329073,0.0006257766,0.0004627361,0.0002947679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008145357,0.0002591617,0.02333248,0.0003044801,0.0001160795,0.0007947892,0.005551966,0.4206615,0.01618494,0.4019202,0.0114511,0.1186088],"study_design_scores_gemma":[0.00002698997,0.0000395283,0.003277879,0.00002347359,0.00002364682,0.0001136465,0.0008589062,0.8100232,0.002275831,0.179011,0.00430676,0.00001919749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6666005,0.001362168,0.3101034,0.003118732,0.0001303163,0.00009509794,0.00092769,0.002473366,0.01518876],"genre_scores_gemma":[0.9642485,0.0002328569,0.03371776,0.00004603733,0.00002167471,0.00002287667,0.0003003935,0.00009281401,0.001317027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008105296,"threshold_uncertainty_score":0.01611626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745726307215182,"score_gpt":0.3036888146369778,"score_spread":0.276231551564826,"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."}}