{"id":"W2022906038","doi":"10.1145/1321211.1321251","title":"A trust based approach for protecting user data in social networks","year":2007,"lang":"en","type":"article","venue":"Proceedings of CASCON","topic":"Access Control and Trust","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Object (grammar); Confidentiality; Key (lock); Reading (process); Computer security; Subject (documents); Access control; Process (computing); Social network (sociolinguistics); Control (management); Data modeling; Internet privacy; World Wide Web; Database; Artificial intelligence; Social media; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003794061,0.00009495079,0.0002093766,0.0001040113,0.0003875901,0.00008533745,0.000509218,0.0001544273,0.000009336538],"category_scores_gemma":[0.000685425,0.000093845,0.00004742723,0.0003906412,0.0001277941,0.000544673,0.00007267803,0.0001920927,2.789243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005315658,"about_ca_system_score_gemma":0.00007231832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006903508,"about_ca_topic_score_gemma":0.0003055748,"domain_scores_codex":[0.9987419,0.000008628924,0.0002761078,0.0002874472,0.0002634373,0.0004225109],"domain_scores_gemma":[0.9993586,0.0001210604,0.0002070106,0.000059545,0.0001983654,0.00005540053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002860558,0.001097649,0.4892379,0.001314646,0.0001545901,0.000005330573,0.02911303,0.0001919035,0.002999829,0.2276766,0.003999245,0.2413487],"study_design_scores_gemma":[0.03044702,0.0009126531,0.1415904,0.0006874282,0.0005869318,0.000007419254,0.1668753,0.4625086,0.009138516,0.01269999,0.1703263,0.004219291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6531074,0.0003256163,0.1209039,0.001605229,0.000313866,0.00521568,0.00003318637,0.0002487387,0.2182464],"genre_scores_gemma":[0.9940863,0.000002063376,0.004859601,0.00007112436,0.0007889122,0.00005813344,0.000008473268,0.00001370247,0.0001116449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4623168,"threshold_uncertainty_score":0.3826888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0594935199212231,"score_gpt":0.3417024052589057,"score_spread":0.2822088853376826,"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."}}