{"id":"W2075666469","doi":"10.3182/20050703-6-cz-1902.01772","title":"IDENTIFICATION OF A STATE SPACE MODEL FOR A SYNCHRONOUS MACHINE","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Identification (biology); State space; State-space representation; State (computer science); Space (punctuation); System identification; Computer science; Control engineering; Engineering; Mathematics; Algorithm; Operating system; Software engineering; Data modeling; Statistics","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":[0.0003275262,0.0006145294,0.0008268685,0.0004306306,0.0004358177,0.0008215205,0.0005761398,0.001123778,0.003204973],"category_scores_gemma":[0.0009597295,0.0003919444,0.000609277,0.0003647041,0.0004933338,0.0007991826,0.0005924027,0.000947382,0.001065789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000427747,"about_ca_system_score_gemma":0.001011214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005151616,"about_ca_topic_score_gemma":0.00535861,"domain_scores_codex":[0.9997652,0.00005446795,0.00001303306,0.00005938423,0.00008470044,0.00002325702],"domain_scores_gemma":[0.9996767,0.0001437882,0.00005421568,0.00004342013,0.00006879035,0.00001314857],"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":[0.0000804227,0.00003377043,0.000469278,0.0001102242,0.00002963988,0.0000982403,0.0001082791,0.9532645,0.008347117,0.01105628,0.0006384847,0.02576379],"study_design_scores_gemma":[0.000008308153,0.00002929746,0.000159171,0.000006246188,0.000007429617,0.00001824127,0.000007903183,0.9953763,0.001173354,0.002498937,0.0007090942,0.000005642681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01737057,0.00009189069,0.9779029,0.0001140882,0.00002687799,0.00004794702,0.000142098,0.000676135,0.003627476],"genre_scores_gemma":[0.930071,0.0001840318,0.06447929,0.00004455368,0.000024321,0.000247166,0.0003373768,0.00008035087,0.004531984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005151616,"threshold_uncertainty_score":0.01072168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007381692339407997,"score_gpt":0.2183934022368907,"score_spread":0.2110117098974827,"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."}}