{"id":"W2373726571","doi":"","title":"Risk assessment for preventive control of static voltage stability","year":2014,"lang":"en","type":"article","venue":"Dianli zidonghua shebei","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Preventive maintenance; Control theory (sociology); Correctness; Stability (learning theory); Preventive action; Reliability engineering; Contingency; Electric power system; Control (management); Voltage; Engineering; Electronic stability control; Computer science; Power (physics); Automotive engineering; Algorithm","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":[0.001698426,0.001436333,0.00100737,0.001765962,0.0005349998,0.001286984,0.001089116,0.0006288994,0.002011962],"category_scores_gemma":[0.004278564,0.0003838641,0.001194615,0.0006474942,0.0006380904,0.001797049,0.00102592,0.0009949171,0.0001951982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124028,"about_ca_system_score_gemma":0.001723618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256313,"about_ca_topic_score_gemma":0.001899209,"domain_scores_codex":[0.9979918,0.0005167252,0.000102245,0.0003160081,0.0009657455,0.0001074734],"domain_scores_gemma":[0.9986125,0.0006126443,0.000201711,0.0001209349,0.0004063572,0.0000458494],"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":[0.0001932959,0.0001672382,0.003737411,0.0003062789,0.0002157752,0.0002621869,0.0003337848,0.6182488,0.01334541,0.1039286,0.002288854,0.2569723],"study_design_scores_gemma":[0.00001055411,0.00006915048,0.0006525568,0.00001899558,0.0000356392,0.0001015116,0.0000206015,0.9819095,0.002134538,0.01410335,0.0009155662,0.00002811453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005901949,0.0002767577,0.9918162,0.00007416651,0.00002115871,0.00004591653,0.00002063761,0.0001853437,0.001657852],"genre_scores_gemma":[0.7732961,0.0006316013,0.2223084,0.00007426104,0.0001105824,0.0002373798,0.000139919,0.00007883508,0.003122977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003256313,"threshold_uncertainty_score":0.00899893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006072743596171941,"score_gpt":0.2261430284655505,"score_spread":0.2200702848693785,"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."}}