{"id":"W2546378021","doi":"10.1109/apap.2011.6180622","title":"Research and engineering practice of intelligent substation system","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Hydro","keywords":"Intelligent decision support system; Key (lock); Work (physics); Computer science; Systems engineering; Engineering management; Engineering; Computer security; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001716414,0.0006273668,0.0005300993,0.00143383,0.0009837239,0.00287089,0.001155197,0.001449855,0.003439851],"category_scores_gemma":[0.003266765,0.0002750307,0.0004540791,0.002166117,0.004750186,0.004083753,0.001318092,0.001781718,0.001252781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924304,"about_ca_system_score_gemma":0.002103282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101665,"about_ca_topic_score_gemma":0.001137856,"domain_scores_codex":[0.9979081,0.0007755216,0.0002284521,0.0003861039,0.0006238102,0.00007801811],"domain_scores_gemma":[0.9985662,0.0006243953,0.0001225947,0.0002660142,0.0003614317,0.00005944813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001569914,0.00002283091,0.0007234903,0.0005152703,0.00002364247,0.0001714575,0.001142173,0.008966464,0.00118397,0.8903112,0.007024986,0.08989892],"study_design_scores_gemma":[0.00001719759,0.00009088516,0.0009972443,0.0005304726,0.00003242292,0.0005767767,0.0008004601,0.02802064,0.002074635,0.5388025,0.4280069,0.00004986007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01225515,0.04658951,0.7505279,0.01508574,0.002162737,0.0001142743,0.0001550134,0.0005543307,0.1725553],"genre_scores_gemma":[0.5836932,0.07892391,0.3024211,0.002521398,0.0035402,0.0003715862,0.0002542037,0.0001689478,0.0281055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003439851,"threshold_uncertainty_score":0.01396191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007398934365838,"score_gpt":0.364772533332722,"score_spread":0.2640326398961382,"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."}}