{"id":"W4408979715","doi":"10.1016/j.compeleceng.2025.110294","title":"Improving privacy in peer-to-peer energy-sharing systems: A data-centric architectural approach","year":2025,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peer-to-peer; Data sharing; Computer science; Internet privacy; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007299557,0.0007411781,0.001003617,0.0007473575,0.002188578,0.005452754,0.003904625,0.001951142,0.002698054],"category_scores_gemma":[0.01077874,0.0007747359,0.0007321753,0.001043692,0.002380465,0.01106373,0.005790268,0.002918096,0.0006338708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717397,"about_ca_system_score_gemma":0.003469649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014702,"about_ca_topic_score_gemma":0.001953088,"domain_scores_codex":[0.9948914,0.001857223,0.000419389,0.0006775106,0.001474359,0.0006801893],"domain_scores_gemma":[0.9908024,0.003005291,0.0005842205,0.003507121,0.001685555,0.0004153275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008593237,0.0005505509,0.004418438,0.0005604344,0.000215643,0.0005241745,0.001814512,0.3352731,0.03266057,0.4645345,0.00515892,0.1534298],"study_design_scores_gemma":[0.00005912572,0.0002284012,0.0003627839,0.00005001337,0.0001069778,0.0002095825,0.0005004856,0.8007069,0.02797025,0.1609811,0.008767122,0.00005728749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07023283,0.0003767157,0.9191013,0.002666193,0.0001147467,0.0003072744,0.00007703863,0.001069131,0.006054748],"genre_scores_gemma":[0.8876452,0.000253314,0.1083622,0.0002520652,0.0000681602,0.0001128009,0.00009783987,0.0001018783,0.003106634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007299557,"threshold_uncertainty_score":0.0386042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029101765001119,"score_gpt":0.2248439192861875,"score_spread":0.2145529016361764,"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."}}