{"id":"W2898532498","doi":"10.1049/iet-rpg.2018.5136","title":"Flexibility of controllable power transformers for managing wind uncertainty using robust adjustable linearised optimal power flow","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Etobicoke General Hospital","funders":"","keywords":"Power flow; Wind power; Flexibility (engineering); Control theory (sociology); Transformer; Computer science; Control engineering; Electric power system; Power (physics); Engineering; Electrical engineering; Voltage; Mathematics; Physics; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008625686,0.0003973168,0.0005600287,0.0002696948,0.0002546142,0.0001278543,0.0001937299,0.0002947233,0.0003239615],"category_scores_gemma":[0.00008557126,0.0004239268,0.0001784816,0.0006543768,0.00008516316,0.0006450263,0.00002017675,0.0001346745,0.000007432096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652775,"about_ca_system_score_gemma":0.0002013888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002964648,"about_ca_topic_score_gemma":0.000240313,"domain_scores_codex":[0.9974237,0.00008426012,0.0008532177,0.000536786,0.0003854476,0.0007165593],"domain_scores_gemma":[0.9985104,0.00006734912,0.0001772041,0.0004325608,0.0006654868,0.0001470448],"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":[0.0001604013,0.00004795624,0.00003971844,0.00006585979,0.0001248578,7.153783e-7,0.0005278855,0.8785777,0.1177111,0.0000327436,0.002532025,0.0001790354],"study_design_scores_gemma":[0.001699739,0.0003318543,0.000008046782,0.00004924254,0.00008139864,0.000005095431,0.0001668937,0.8847947,0.1103982,0.00002816254,0.002050352,0.0003863555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1599368,0.0006011114,0.8319788,0.00004505808,0.001535373,0.001146797,0.00008257206,0.0002261721,0.004447311],"genre_scores_gemma":[0.9522686,0.00002788047,0.04660201,0.00005222344,0.0002455506,0.0000416304,0.0001552451,0.0001063613,0.0005005063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7923318,"threshold_uncertainty_score":0.9998212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435239974870437,"score_gpt":0.2427954144048144,"score_spread":0.21844301465611,"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."}}