{"id":"W4237381140","doi":"10.1007/978-3-319-32903-1_250-1","title":"Privacy-Preserving Data Aggregation for Smart Grids","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Data aggregator; Computer security; Internet privacy; Computer network; Wireless sensor network","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":[0.0007296594,0.0007176778,0.0005023379,0.0005535104,0.0005793524,0.00244782,0.0008317771,0.0007463394,0.009182824],"category_scores_gemma":[0.001567447,0.0003999096,0.000511523,0.002223304,0.0009023546,0.004689098,0.00152421,0.00238708,0.004138478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009290078,"about_ca_system_score_gemma":0.0007374187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006053174,"about_ca_topic_score_gemma":0.0006191272,"domain_scores_codex":[0.9993677,0.00009919014,0.00003597335,0.000111438,0.0003410513,0.00004462144],"domain_scores_gemma":[0.9994689,0.0002117761,0.00002261462,0.0001963501,0.00008404627,0.00001641946],"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":[0.00003832738,0.00005064355,0.00009244931,0.0003429818,0.00002146392,0.00007860046,0.0002357006,0.008961164,0.002384863,0.5463626,0.09741327,0.344018],"study_design_scores_gemma":[0.000007847111,0.00002423185,0.0001362691,0.0001706788,0.00001210872,0.0002938405,0.00008410196,0.02417116,0.003719372,0.4788932,0.4924679,0.00001936981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00398636,0.04051027,0.7707319,0.007668704,0.003955651,0.0001247484,0.0006705854,0.002336233,0.1700156],"genre_scores_gemma":[0.1717367,0.08668637,0.3484402,0.003610599,0.005540548,0.0003002332,0.002783837,0.001546819,0.3793547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009182824,"threshold_uncertainty_score":0.03071958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524081268758994,"score_gpt":0.2523756898261696,"score_spread":0.2071348771385796,"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."}}