{"id":"W4281381850","doi":"10.1109/cpre55809.2022.9776596","title":"Substation SCADA Retrofit at Silicon Valley Power","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hitachi (Canada)","funders":"","keywords":"SCADA; Retrofitting; Engineering; Master station; Embedded system; Visibility; Computer science; Operating system; 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":[0.0005319364,0.0001918865,0.0001255222,0.0003420177,0.0005201869,0.0007662562,0.0002828432,0.0004082155,0.003055746],"category_scores_gemma":[0.0007839705,0.0001312267,0.0001348204,0.0003497435,0.0003923299,0.0005049594,0.0004420116,0.00069892,0.0006681484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007912532,"about_ca_system_score_gemma":0.000898833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006382476,"about_ca_topic_score_gemma":0.01119854,"domain_scores_codex":[0.9994962,0.00007666281,0.000010143,0.00006331233,0.0003025713,0.00005110523],"domain_scores_gemma":[0.9996401,0.0000605382,0.00002633307,0.00004967987,0.0001678678,0.00005542549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005218274,0.0006378496,0.07659842,0.0001760182,0.00009924814,0.009242602,0.002665381,0.05585179,0.06599499,0.01851325,0.07459385,0.6951048],"study_design_scores_gemma":[0.0003685049,0.0041539,0.1554999,0.000208876,0.0001202952,0.008404864,0.003967635,0.1910201,0.1107749,0.009151181,0.5161627,0.0001670827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207354,0.0002376985,0.01810923,0.002017867,0.0002282225,0.00008207883,0.0003412245,0.001893727,0.05635459],"genre_scores_gemma":[0.976931,0.0001251338,0.005495774,0.0001608508,0.00002707375,0.0000131439,0.000371019,0.00013716,0.01673894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006382476,"threshold_uncertainty_score":0.0126906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005555570614849332,"score_gpt":0.1819417546704586,"score_spread":0.1763861840556093,"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."}}