{"id":"W2129398593","doi":"10.1109/tia.2007.895768","title":"Supercapacitor Energy Storage for Wind Energy Applications","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":827,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Energy storage; Wind power; Low voltage ride through; Supercapacitor; Transient (computer programming); Electrical engineering; Turbine; Capacitor; Automotive engineering; Superconducting magnetic energy storage; Induction generator; Engineering; Intermittency; Computer science; Voltage; Electronic engineering; Power (physics); AC power; Capacitance; Mechanical engineering; Physics; Electromagnetic coil","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001206198,0.0002515172,0.0001865127,0.0002544072,0.0004091761,0.00004900576,0.0002410834,0.0005101055,0.0001298078],"category_scores_gemma":[0.000001012409,0.0002913144,0.0001382612,0.0005955008,0.00006724946,0.0001586657,8.624917e-7,0.0003845652,0.00002881596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640019,"about_ca_system_score_gemma":0.00003974368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002866642,"about_ca_topic_score_gemma":0.0000802733,"domain_scores_codex":[0.9987231,0.00001207161,0.0003907938,0.0003313011,0.0001484836,0.0003942125],"domain_scores_gemma":[0.9989821,0.0001583424,0.0000449875,0.0004918955,0.0001228077,0.0001999016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003036677,0.0003549005,0.000003907709,0.00003893799,0.0001592924,6.704804e-7,0.00007846215,0.6324466,0.02495857,0.008657774,0.00256047,0.33071],"study_design_scores_gemma":[0.0008064428,0.00005573797,0.00002727478,0.00001481204,0.0001221038,0.00001354333,0.0001644402,0.05178447,0.08328834,0.0006844675,0.8624732,0.0005651469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000273045,0.0002084537,0.99579,0.0001194631,0.0002645073,0.0005896993,0.0003056154,0.0005578678,0.001891327],"genre_scores_gemma":[0.9872338,0.0002046171,0.005688753,0.0002687843,0.000783276,0.004150699,0.0001124777,0.0001029861,0.00145462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9901013,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00836127744004566,"score_gpt":0.2101281452484317,"score_spread":0.201766867808386,"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."}}