{"id":"W2140811101","doi":"10.1002/sec.1082","title":"ReDD: recommendation‐based data dissemination in privacy‐preserving mobile social networks","year":2014,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Dissemination; Computer security; Network packet; Authentication (law); Internet privacy; Computer network; Protocol (science); Social network (sociolinguistics); Confidentiality; Quality (philosophy); Mobile phone; World Wide Web; Social media; Telecommunications","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":[0.002037836,0.0001970129,0.0002675394,0.000102703,0.0005378706,0.0003298002,0.002395507,0.0002394034,0.00003862366],"category_scores_gemma":[0.000027084,0.0002161336,0.00003764471,0.0005461749,0.000109497,0.0009093889,0.001900454,0.0006157793,0.00000239447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004179064,"about_ca_system_score_gemma":0.00003577962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005657431,"about_ca_topic_score_gemma":0.0001569617,"domain_scores_codex":[0.9977445,0.0006974947,0.0005000798,0.0005163921,0.0001857438,0.0003557614],"domain_scores_gemma":[0.9966949,0.00084692,0.0002674013,0.001984687,0.00009575193,0.0001103181],"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":[0.0000425437,0.0003015919,0.00223217,0.00003134232,0.00002158977,0.00000179387,0.002215569,0.00812241,0.000001634866,0.0212796,0.01933339,0.9464164],"study_design_scores_gemma":[0.0003966964,0.00003159255,0.0009811429,0.00008313958,0.000009553069,0.000002581689,0.00008632471,0.9774708,7.205316e-7,0.004616413,0.01608621,0.0002348771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002903336,0.0008424629,0.9888436,0.003012534,0.0001862283,0.0003122017,0.000006414055,0.0001504987,0.003742686],"genre_scores_gemma":[0.9918157,0.0007450341,0.005457341,0.0006524685,0.0001782253,0.00005832295,0.001050654,0.00001495557,0.00002724144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9889124,"threshold_uncertainty_score":0.8813673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557547304041716,"score_gpt":0.2935082090601328,"score_spread":0.2679327360197156,"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."}}