{"id":"W3020843673","doi":"10.1109/mcom.001.2000263","title":"Holistic Privacy for Electricity, Water, and Natural Gas Metering in Next Generation Smart Homes","year":2021,"lang":"en","type":"preprint","venue":"IEEE Communications Magazine","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electricity; Computer security; Metering mode; Smart meter; Environmental economics; Scarcity; Computer science; Natural resource; Smart grid; Information privacy; Engineering; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002918144,0.0003129814,0.0003859324,0.0003845733,0.0001160776,0.0003183613,0.0008680517,0.0001473834,0.000007425665],"category_scores_gemma":[0.00007266128,0.0003288567,0.00008511908,0.0002053314,0.00004953486,0.0001988783,0.001294935,0.000575117,0.000006955395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716641,"about_ca_system_score_gemma":0.00002472436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005861701,"about_ca_topic_score_gemma":0.0007175675,"domain_scores_codex":[0.9986265,0.00009575963,0.0004707664,0.0003402602,0.0001298794,0.0003368368],"domain_scores_gemma":[0.9977141,0.0001289991,0.00005679771,0.001942854,0.0001045742,0.00005266077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000227674,0.0003119424,0.0006122814,0.00207501,0.0006871363,0.00001628731,0.001919064,0.6383147,0.3169003,0.001077078,0.006952158,0.03111131],"study_design_scores_gemma":[0.0004900621,0.00001802716,0.002026917,0.0001538094,0.0000973784,0.000008348711,0.00002743424,0.9721994,0.007664984,0.0003767994,0.01643567,0.0005011515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391567,0.01338842,0.04070932,0.001178616,0.003170507,0.001151631,0.00002422978,0.0004591243,0.0007614212],"genre_scores_gemma":[0.9665664,0.007981293,0.02263118,0.00005007572,0.0002300719,0.0007063547,0.001589152,0.0000766075,0.0001687944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3338847,"threshold_uncertainty_score":0.9999164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612062575871383,"score_gpt":0.2870588466614142,"score_spread":0.2109382209027004,"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."}}