{"id":"W2061716594","doi":"10.1109/pes.2007.386010","title":"New visualization technology to enhance situational awareness for system operators","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SCADA; Situation awareness; Operator (biology); Vendor; Visualization; Computer science; Blackout; Software; Engineering; Operating system; Data mining; Electric power system; Electrical engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006181585,0.0006312594,0.0004063466,0.0008888537,0.0003059693,0.001277741,0.0005012328,0.0005609366,0.1360579],"category_scores_gemma":[0.001694208,0.0002676486,0.0003113523,0.000716372,0.0001634895,0.00137079,0.0009237002,0.0006846054,0.01166186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306765,"about_ca_system_score_gemma":0.000207626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005545288,"about_ca_topic_score_gemma":0.001002492,"domain_scores_codex":[0.9996873,0.0001117984,0.00002266452,0.00003760751,0.0001146244,0.00002598822],"domain_scores_gemma":[0.9992779,0.0003044988,0.0000391194,0.00008171999,0.000234922,0.00006197501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003422622,0.0001719693,0.0008919065,0.000807544,0.0000538682,0.0003449731,0.0005901794,0.001900021,0.02745488,0.007073081,0.3518357,0.6085336],"study_design_scores_gemma":[0.0001648204,0.0007007146,0.005299006,0.0005186315,0.0001413133,0.0009716754,0.0003736799,0.02522161,0.01415384,0.006532201,0.9458166,0.0001059555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03557629,0.01408234,0.6250135,0.006148958,0.006885915,0.001544483,0.003902865,0.03295232,0.2738935],"genre_scores_gemma":[0.2556147,0.01819429,0.3965877,0.00208731,0.002900581,0.001842791,0.006814348,0.002938038,0.3130203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1360579,"threshold_uncertainty_score":0.4551591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00641336740470583,"score_gpt":0.2686139942087364,"score_spread":0.2622006268040306,"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."}}