{"id":"W4283261634","doi":"10.1109/repec55671.2022.00019","title":"Leveraging Technology for Automation and NERC Compliance","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Vendor; Automation; Event (particle physics); Computer science; Service (business); Reliability (semiconductor); Fault management; Computer security; Engineering management; Engineering; Business","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":[0.004659418,0.0005726424,0.0003763974,0.003473192,0.001354148,0.004924697,0.0009459128,0.001352569,0.005638742],"category_scores_gemma":[0.01185958,0.0004177799,0.0006954608,0.002460218,0.002729066,0.006592513,0.003529058,0.001777785,0.001997639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707692,"about_ca_system_score_gemma":0.003200821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559763,"about_ca_topic_score_gemma":0.001481896,"domain_scores_codex":[0.9841306,0.003367777,0.0009229197,0.001793204,0.008565731,0.001219841],"domain_scores_gemma":[0.9847798,0.003985333,0.002064524,0.00503621,0.003932426,0.0002018198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001363738,0.0002295461,0.02100439,0.000436917,0.00009777399,0.001237951,0.002747659,0.01287072,0.02895757,0.5254501,0.007522493,0.3993087],"study_design_scores_gemma":[0.00005910045,0.00114326,0.02944207,0.0008430514,0.0002131832,0.006277965,0.003102679,0.05722708,0.100484,0.1913222,0.6095733,0.0003122807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1050183,0.001250204,0.6295143,0.004393412,0.0003642346,0.0007295305,0.0002972093,0.003547152,0.2548857],"genre_scores_gemma":[0.7819479,0.001045188,0.1917833,0.0007322989,0.0001506017,0.0003128829,0.0003504801,0.0003452728,0.02333207],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005638742,"threshold_uncertainty_score":0.02464163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845088198227264,"score_gpt":0.2270723156735933,"score_spread":0.2086214336913207,"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."}}