{"id":"W2883638677","doi":"10.1007/978-3-319-93677-2_3","title":"Smart Grid Security Security and Privacy of Customer-Side Networks","year":2018,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer security; Smart grid; Computer science; Cloud computing security; Security service; Internet privacy; Network security; Information security; Engineering; Cloud computing","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":[0.0001891234,0.0005253432,0.0007259912,0.0003378617,0.00004412517,0.00005296465,0.0002734524,0.0004962821,0.00002110251],"category_scores_gemma":[0.00001397516,0.0005614986,0.0001102181,0.0001667443,0.0001308721,0.0001189853,0.0002830254,0.001124399,0.000006044085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007684901,"about_ca_system_score_gemma":0.00001948829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001864349,"about_ca_topic_score_gemma":0.00001144586,"domain_scores_codex":[0.9981261,0.0000120788,0.0005478092,0.0005170045,0.0002473071,0.0005497065],"domain_scores_gemma":[0.9992149,0.0001464918,0.00007034909,0.0003144617,0.00004845009,0.0002053051],"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":[0.000563099,0.0008287919,0.01326175,0.01781699,0.003856475,0.001970682,0.02088489,0.4711643,0.001336783,0.2574216,0.0225937,0.1883009],"study_design_scores_gemma":[0.0004815374,0.0001458419,0.002416924,0.0006735298,0.00005203732,0.0001012497,0.000001563759,0.9269675,0.0003259162,0.001999728,0.06584261,0.0009915391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358916,0.0799605,0.110983,0.0001538511,0.01121633,0.002903856,0.000104435,0.002881292,0.05590513],"genre_scores_gemma":[0.9901279,0.005680467,0.001327595,0.00006656135,0.002244885,0.00001613545,0.00001565523,0.0001598308,0.0003609239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4558032,"threshold_uncertainty_score":0.9996837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004206148004698247,"score_gpt":0.1732417941180753,"score_spread":0.169035646113377,"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."}}