{"id":"W7106022608","doi":"10.7939/83277","title":"Power Quality and Dynamic Enhancement of Remote Gas Field Generation based on Smart Power Converters","year":2025,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity generation; Distributed generation; Greenhouse gas; Electric power transmission; Reliability (semiconductor); Converters; Electric power system; Renewable energy; Grid","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":[],"consensus_categories":[],"category_scores_codex":[0.00003022244,0.0001485821,0.0002499484,0.0001690855,0.00003405906,0.000009948906,0.0001094547,0.0001827672,0.0006934219],"category_scores_gemma":[0.00001062062,0.0001834271,0.00008051394,0.00008771551,0.00001359119,0.0001645187,0.00001384843,0.0001074973,0.000002221316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002028943,"about_ca_system_score_gemma":0.00005465839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002827381,"about_ca_topic_score_gemma":0.0002899789,"domain_scores_codex":[0.9994261,0.00003078016,0.0001811177,0.0001743491,0.00009833166,0.00008927988],"domain_scores_gemma":[0.9995568,0.00009381556,0.000103153,0.0001838492,0.00002904606,0.00003335309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01926114,0.002035508,0.005748346,0.02138988,0.006425704,0.0000944001,0.06785399,0.1597392,0.177099,0.007474319,0.1837226,0.3491559],"study_design_scores_gemma":[0.002315836,0.0003907773,0.003295918,0.0008615063,0.0001846701,2.710248e-7,0.0009815891,0.9426539,0.03965558,0.0000666137,0.008931338,0.0006620352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812255,0.0006955707,0.01275019,0.0007164403,0.0009763498,0.0005555621,0.00004562844,0.00009079352,0.1029439],"genre_scores_gemma":[0.9801485,0.0009005848,0.002915348,0.0002524205,0.00001056167,2.655192e-7,0.002485669,0.00002752223,0.01325911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7829147,"threshold_uncertainty_score":0.7592483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003939694081407177,"score_gpt":0.17931709800821,"score_spread":0.1753774039268028,"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."}}