{"id":"W2621129841","doi":"10.1049/iet-gtd.2016.1574","title":"Contribution to stability analysis of power hardware‐in‐the‐loop simulators","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Hydro-Québec","funders":"","keywords":"Stability (learning theory); Loop (graph theory); Computer science; Power (physics); Hardware-in-the-loop simulation; Power analysis; Control engineering; Control theory (sociology); Engineering; Embedded system; Control (management); Mathematics; Artificial intelligence; Algorithm; Physics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007972684,0.0001767046,0.000359811,0.0001288542,0.0002759037,0.0001724857,0.0002487139,0.0001394759,0.0001725264],"category_scores_gemma":[0.0001344332,0.0001458851,0.0002182358,0.0004615155,0.00003267123,0.0003146074,0.000007863037,0.0001079402,0.00001233999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375361,"about_ca_system_score_gemma":0.0000245666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006574814,"about_ca_topic_score_gemma":0.00006847126,"domain_scores_codex":[0.9983567,0.0001470053,0.0006146531,0.0002542881,0.000401368,0.000225956],"domain_scores_gemma":[0.9988298,0.00005580264,0.0001287826,0.0006174332,0.0002572053,0.0001109926],"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":[0.0001077075,0.0001523077,0.009966533,0.00003759035,0.0002771274,0.000002385895,0.0007034727,0.8286335,0.1468943,0.002064927,0.001189758,0.009970414],"study_design_scores_gemma":[0.0008522779,0.0000481926,0.1697264,0.00002153845,0.0002082053,4.112675e-7,0.00005850461,0.7990504,0.02184738,0.00003573497,0.007945918,0.0002050044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6325806,0.00007256318,0.3658082,0.0003650643,0.0002412733,0.0004561839,0.0002184133,0.00005717262,0.0002004821],"genre_scores_gemma":[0.9987167,0.00001384233,0.00003449778,0.00003077263,0.00005452272,0.00004235284,0.001078805,0.00001013054,0.00001835513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3661361,"threshold_uncertainty_score":0.5949022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187245148951403,"score_gpt":0.2630585200386372,"score_spread":0.2443340051434969,"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."}}