{"id":"W7020865331","doi":"","title":"MPI parallel computing on eigensystems of small signal stability analysis for large interconnected power grids","year":2010,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Message Passing Interface; Power (physics); Stability (learning theory); Cluster (spacecraft); Computation; Parallel algorithm; Electric power system; Connection (principal bundle); Transmission (telecommunications); Computer cluster","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002210521,0.0009609948,0.001873996,0.0007667203,0.0004951307,0.00008770032,0.0007503019,0.001280619,0.0005353342],"category_scores_gemma":[0.0007427932,0.001017003,0.00118906,0.001176115,0.00003847507,0.0002498424,0.00007195517,0.001509991,0.00003116165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005763159,"about_ca_system_score_gemma":0.0000498183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019014,"about_ca_topic_score_gemma":0.004909268,"domain_scores_codex":[0.994761,0.0004496413,0.002097182,0.001169622,0.0006435221,0.0008789561],"domain_scores_gemma":[0.9958957,0.0007247805,0.0007256683,0.001245251,0.001053637,0.0003549807],"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":[0.00734288,0.007812723,0.01254255,0.03833997,0.04090242,0.0001052565,0.002681831,0.3621411,0.2489616,0.246742,0.00006881093,0.03235898],"study_design_scores_gemma":[0.01814744,0.003046483,0.04570751,0.004490674,0.009688844,0.00003523406,0.0111094,0.5016411,0.332679,0.00465092,0.05281448,0.01598895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691762,0.0001288573,0.00194593,0.000002159257,0.002705855,0.001804946,0.005607337,0.0006643652,0.01796439],"genre_scores_gemma":[0.9941515,0.0000110956,0.002232324,0.00002689291,0.00003066684,0.0001415321,0.002893563,0.0002087185,0.0003036718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.242091,"threshold_uncertainty_score":0.9992281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820555185570247,"score_gpt":0.233725707716766,"score_spread":0.2155201558610635,"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."}}