{"id":"W2787151736","doi":"10.1109/pesgm.2017.8274399","title":"Application of high performance computing in california ISO's on-line DSA system","year":2017,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Computer science; Computation; Line (geometry); Function (biology); Supercomputer; Central processing unit; Computer performance; Computer engineering; Embedded system; Operating system; Algorithm","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":[0.0004750231,0.0003440022,0.0002758503,0.0004071116,0.0007181417,0.001309295,0.0007198838,0.0003279033,0.003020738],"category_scores_gemma":[0.0009944073,0.0001328062,0.0001731128,0.000659857,0.0004145213,0.0005567385,0.0005461338,0.0005459205,0.0003510132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917158,"about_ca_system_score_gemma":0.001567794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03939012,"about_ca_topic_score_gemma":0.02620099,"domain_scores_codex":[0.9993037,0.0001584111,0.00002206954,0.00008302455,0.000359242,0.00007350133],"domain_scores_gemma":[0.9995414,0.00009117563,0.00002596991,0.00007642509,0.0002164571,0.00004860099],"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":[0.0005619308,0.000656689,0.02272903,0.0003181265,0.00007200892,0.001122583,0.001417013,0.4380578,0.03651511,0.0453756,0.03002608,0.423148],"study_design_scores_gemma":[0.0001128191,0.0005619905,0.01332458,0.00006097503,0.00004742264,0.0002916713,0.0007887617,0.83476,0.03522194,0.005404273,0.1093554,0.00007015171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7098184,0.0006997746,0.09450254,0.001877645,0.0003346856,0.0003037252,0.0003566059,0.002696179,0.1894104],"genre_scores_gemma":[0.9566192,0.0003357753,0.03476578,0.00006889847,0.00003196032,0.00003532311,0.000221939,0.00008273307,0.007838368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03939012,"threshold_uncertainty_score":0.0783217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152720602037226,"score_gpt":0.2275056019026085,"score_spread":0.2159783958822362,"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."}}