{"id":"W1995546674","doi":"10.1109/pesgm.2014.6939187","title":"Model validation for improving state estimation","year":2014,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Reliability (semiconductor); Computer science; Estimator; State (computer science); Identification (biology); Reliability engineering; Estimation; State estimator; Estimation theory; Quality (philosophy); Power (physics); Engineering; Systems engineering; Algorithm; Statistics; Mathematics","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":[0.01184485,0.001449929,0.001122993,0.001204968,0.0009775693,0.002133005,0.001556113,0.001687066,0.003723451],"category_scores_gemma":[0.03762472,0.0008038618,0.001205169,0.000696364,0.00105241,0.003510841,0.001817382,0.002612197,0.001184433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857222,"about_ca_system_score_gemma":0.002217639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263432,"about_ca_topic_score_gemma":0.003081397,"domain_scores_codex":[0.9938293,0.003196862,0.0004303268,0.0006197793,0.001685964,0.0002377993],"domain_scores_gemma":[0.9806337,0.009070662,0.0008970134,0.005886164,0.003397541,0.000115047],"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":[0.0002402865,0.0003394553,0.006148173,0.0005690665,0.000210145,0.0001613695,0.0003239734,0.7576455,0.03013971,0.0466888,0.003338277,0.1541952],"study_design_scores_gemma":[0.0000244879,0.0001609179,0.0008363514,0.0001375526,0.0000434875,0.00006219152,0.00004912736,0.9594722,0.02082776,0.01293881,0.00541324,0.00003377378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01524983,0.0002508021,0.9795464,0.0003890893,0.0001096445,0.00007416403,0.0001320287,0.001512416,0.002735569],"genre_scores_gemma":[0.6848449,0.0008371819,0.3094874,0.0003887666,0.00008520063,0.0003480952,0.001133549,0.0008184513,0.002056349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01184485,"threshold_uncertainty_score":0.06264228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346338919265501,"score_gpt":0.2224626636058863,"score_spread":0.2089992744132312,"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."}}