{"id":"W3039148810","doi":"","title":"Real-Time Privacy-Preserving Data Release for Smart Meters","year":2020,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Information privacy; Smart meter; Computer science; Computer security; Smart grid; Internet privacy; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006242961,0.0004622028,0.0004971941,0.0001171374,0.0006045739,0.00009940084,0.002363726,0.0002625439,0.0001939108],"category_scores_gemma":[0.001930954,0.000491761,0.0001855206,0.000526678,0.00007119165,0.001451531,0.001154149,0.0006308954,0.0004536148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168356,"about_ca_system_score_gemma":0.00002216531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009805349,"about_ca_topic_score_gemma":0.00005067215,"domain_scores_codex":[0.9970483,0.0001288303,0.0005909807,0.0009490611,0.0004704419,0.0008123462],"domain_scores_gemma":[0.9970922,0.0004206572,0.00009882582,0.001649965,0.0001019913,0.0006363377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003917495,0.0001966946,0.0001402125,0.001647725,0.0006158131,0.0002024943,0.00008416288,0.00953017,0.9191452,0.01195529,0.003429495,0.05266102],"study_design_scores_gemma":[0.002441908,0.0003296052,0.0005925398,0.000288258,0.0002880719,0.00004330547,0.000138688,0.1720207,0.1663414,0.004704312,0.6507044,0.00210674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736197,0.0002190551,0.00003135901,0.0003456192,0.0008634707,0.0009421916,0.002742168,0.001595362,0.01964105],"genre_scores_gemma":[0.9890611,0.0003719779,0.008968886,0.000545649,0.0001863769,0.00007307712,0.0003587634,0.0001986164,0.0002355568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7528037,"threshold_uncertainty_score":0.9997534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472280729829837,"score_gpt":0.2356159292320786,"score_spread":0.2008931219337802,"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."}}