{"id":"W2905606805","doi":"10.1109/pesgm.2018.8586169","title":"Synchronous Machine Stability Model, an Update to IEEE Std 1110-2002 Data Translation Technique","year":2018,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Computer science; Translation (biology); Stability (learning theory); Data modeling; Machine translation; Artificial intelligence; Database; Machine learning; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002534684,0.0001429302,0.0001350335,0.00006219738,0.00005603527,0.00004386966,0.0003156396,0.00007550552,0.0006122625],"category_scores_gemma":[0.000005767848,0.0001348629,0.00001773155,0.0001455333,0.00002054234,0.0004830142,0.00002809788,0.00008390091,0.00007419742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004259946,"about_ca_system_score_gemma":0.00001690131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006040254,"about_ca_topic_score_gemma":0.0008776731,"domain_scores_codex":[0.9991657,0.00002236512,0.000216217,0.0002928759,0.0000974569,0.00020542],"domain_scores_gemma":[0.999022,0.000008582731,0.00001403156,0.0008003592,0.00005523314,0.00009977763],"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":[0.00006139563,0.00008918696,0.00004467149,0.0000501574,0.00003353005,9.828839e-7,0.0003465309,0.7618929,0.09382819,0.0000849366,0.002969951,0.1405976],"study_design_scores_gemma":[0.0001818098,0.00005796426,0.00001811676,0.000004530322,0.00001388361,0.0000017042,0.000004431928,0.9798139,0.01724732,0.00007174143,0.002411287,0.000173339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007232132,0.0001358947,0.9890021,0.0001025624,0.0001055161,0.0004991492,0.0001816683,0.0006323316,0.002108653],"genre_scores_gemma":[0.8443958,0.00005369752,0.1549815,0.0001205367,0.0001308719,0.00002967331,0.0002324286,0.00003312693,0.0000223418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8371636,"threshold_uncertainty_score":0.6703845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044932609568072,"score_gpt":0.2482777240474761,"score_spread":0.2178283979517954,"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."}}