{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003803721,0.0003749069,0.0005267768,0.0003810911,0.0008883067,0.002984585,0.0007951849,0.001577469,0.001282624],"category_scores_gemma":[0.006679686,0.00036163,0.0006090387,0.0007582129,0.002211765,0.007283966,0.002549362,0.001971337,0.0002923278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431896,"about_ca_system_score_gemma":0.001545462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008493468,"about_ca_topic_score_gemma":0.0007886431,"domain_scores_codex":[0.9967026,0.001453537,0.0001347106,0.0004130385,0.001005247,0.0002907447],"domain_scores_gemma":[0.997421,0.001144413,0.0002341677,0.0007867417,0.0003114582,0.0001022701],"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":[0.0002736468,0.0001180996,0.00332067,0.0002755276,0.0000904469,0.0007000358,0.0009789999,0.06338056,0.008223183,0.723763,0.01054235,0.1883333],"study_design_scores_gemma":[0.00002651509,0.0001449586,0.002048894,0.0001978651,0.00006967133,0.0009205914,0.0007837095,0.3104433,0.01219083,0.6306202,0.04249222,0.0000612135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05466503,0.004450214,0.9069843,0.01294352,0.0003020004,0.00008989566,0.0001485153,0.0004109196,0.02000557],"genre_scores_gemma":[0.9113001,0.002793658,0.08012831,0.0009996215,0.0002896829,0.0000631775,0.0001211962,0.0000491064,0.004255073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003803721,"threshold_uncertainty_score":0.02011621,"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."}}