{"id":"W2041388850","doi":"10.1007/s10207-015-0278-9","title":"Preventing sensitive relationships disclosure for better social media preservation","year":2015,"lang":"en","type":"article","venue":"International Journal of Information Security","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Social media; Internet privacy; Enabling; Relevance (law); Information sharing; Key (lock); Private information retrieval; Information sensitivity; Social network (sociolinguistics); Information protection policy; Cryptography; Information privacy; Computer security; 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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.002023907,0.0001009998,0.000141362,0.0003356027,0.0001030192,0.0003292053,0.006168652,0.0001170571,0.000003011098],"category_scores_gemma":[0.04176809,0.00009360426,0.0001001326,0.0002107902,0.0000430721,0.01003735,0.004606581,0.0003530846,0.00001244005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003193,"about_ca_system_score_gemma":0.0001593066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004437385,"about_ca_topic_score_gemma":0.000006581905,"domain_scores_codex":[0.998049,0.00009993166,0.0007338084,0.00009184543,0.0008820908,0.000143317],"domain_scores_gemma":[0.9954336,0.0004629769,0.001015171,0.0005193368,0.002503728,0.00006518087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002812304,0.0001721237,0.005702147,0.00005175434,0.0003997051,0.00001778657,0.03573347,0.0002227602,0.0001050095,0.1182978,0.7786138,0.06040243],"study_design_scores_gemma":[0.001784281,0.000065202,0.009232393,0.00008005825,0.00001844345,0.0001139373,0.001409027,0.07293691,0.002125451,0.8873239,0.0246852,0.0002252237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07685965,0.00002295481,0.8582968,0.06187028,0.001892141,0.0001779083,0.00009560932,0.000108931,0.0006757324],"genre_scores_gemma":[0.8500332,0.000004652762,0.1491513,0.0002967271,0.0004076551,0.000007140408,0.00009217151,0.000004207388,0.000002886672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7731736,"threshold_uncertainty_score":0.9992085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06401141018800097,"score_gpt":0.3070950346957376,"score_spread":0.2430836245077367,"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."}}