{"id":"W2789060699","doi":"10.1016/j.softx.2018.01.002","title":"OpenIPSL: Open-Instance Power System Library — Update 1.5 to “iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations”","year":2018,"lang":"en","type":"article","venue":"SoftwareX","topic":"Modeling and Simulation Systems","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Ideas: European Research Council; U.S. Department of Energy; Seventh Framework Programme; Georgian National Science Foundation; Government of Canada; National Science Foundation","keywords":"Modelica; Phasor; Computer science; Power (physics); Domain (mathematical analysis); Electric power system; Simulation; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706484,0.001504307,0.001090357,0.001925329,0.0005989208,0.003551444,0.00497915,0.001531741,0.07404861],"category_scores_gemma":[0.00613257,0.001560936,0.001520873,0.001900242,0.0005025539,0.004512557,0.00235561,0.004375235,0.05947568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206247,"about_ca_system_score_gemma":0.001571144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365962,"about_ca_topic_score_gemma":0.003137999,"domain_scores_codex":[0.9983044,0.0003156753,0.0001371969,0.0001955916,0.0009023293,0.0001448673],"domain_scores_gemma":[0.9977232,0.0005231005,0.0001280256,0.0006792563,0.0008120072,0.0001344679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003122748,0.0001226909,0.0009388472,0.001021364,0.0001267559,0.0002648297,0.000287776,0.02665956,0.00442209,0.04465712,0.6787562,0.2424304],"study_design_scores_gemma":[0.0001365207,0.00004179464,0.0003267945,0.0001705607,0.00003858084,0.0002686377,0.00002597153,0.06560928,0.009410312,0.01737993,0.9065147,0.00007698157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001330667,0.000517864,0.7123393,0.0004577959,0.0005140452,0.0001247315,0.01045704,0.2485224,0.02573602],"genre_scores_gemma":[0.06103502,0.002418133,0.4785604,0.002041881,0.000788674,0.0009905314,0.1378673,0.2264606,0.08983758],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07404861,"threshold_uncertainty_score":0.2477173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950597624289931,"score_gpt":0.2605415548258244,"score_spread":0.2410355785829251,"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."}}