{"id":"W4407692804","doi":"10.1109/mosicom63082.2024.10881242","title":"Transient Stability Analysis of Low-Inertia Shipboard Electrical Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transient (computer programming); Transient analysis; Inertia; Stability (learning theory); Environmental science; Computer science; Control theory (sociology); Transient response; Engineering; Electrical engineering; Physics; Classical mechanics; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003415615,0.00009651428,0.0002205853,0.00009266719,0.00003671702,0.00002225084,0.0001437116,0.00005222643,0.02047721],"category_scores_gemma":[0.000007707783,0.00006760009,0.0001952244,0.001874142,0.00008969622,0.00006868318,0.00001655841,0.00008827659,0.00008310929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007498282,"about_ca_system_score_gemma":0.00001456727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122775,"about_ca_topic_score_gemma":0.0001176192,"domain_scores_codex":[0.998767,0.00003371669,0.0003209572,0.0003273897,0.000336366,0.000214627],"domain_scores_gemma":[0.9995622,0.00005926117,0.00001629021,0.0002393771,0.000005927026,0.0001169576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001463427,0.002499442,0.52001,0.0007673068,0.00138759,0.0001204511,0.003307517,0.1391421,0.2773106,0.00857218,0.009759873,0.03697658],"study_design_scores_gemma":[0.00009288005,0.00008374274,0.1651107,0.00002541923,0.00059868,0.000001688516,0.00007564223,0.8251612,0.003684805,0.00002345298,0.004916245,0.0002256323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941358,0.0002101597,0.01616092,0.00009026715,0.00007814097,0.0001350102,0.00001635473,0.0000852185,0.04186591],"genre_scores_gemma":[0.9988172,0.00001102544,0.0001539716,0.0000140395,0.000006282849,0.000007042293,0.000009670007,0.000005445244,0.0009752965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6860191,"threshold_uncertainty_score":0.9804182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008695449789543286,"score_gpt":0.2192693097852479,"score_spread":0.2105738599957046,"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."}}