{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":202,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":202,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"a4eefcf5e710","filters":{"venue":"IEEE Transactions on Energy Conversion"}},"results":[{"id":"W2112419872","doi":"10.1109/tec.2002.1009476","title":"Synthesis of high performance PM motors with concentrated windings","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":656,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Electromagnetic coil; Three-phase; Power (physics); Electrical engineering; Joule (programming language); Phase (matter); Engineering; Mechanical engineering; Computer science; Topology (electrical circuits); Physics; Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.005792144187877041,"gpt":0.1520142070539114,"spread":0.1462220628660343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002952474,0.0001429402,0.0001883573,0.0001921206,0.00007744893,0.000007817029,0.00009044034,0.00007706866,0.0005794779],"category_scores_gemma":[6.52406e-7,0.0001276106,0.0000625487,0.0004827311,0.00004096069,0.0001241125,2.112521e-7,0.0001000553,0.00002035558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007531272,"about_ca_system_score_gemma":0.000006085695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001040492,"about_ca_topic_score_gemma":0.000004607153,"domain_scores_codex":[0.9993275,0.0000184688,0.0001512315,0.0001415233,0.0001793245,0.0001818869],"domain_scores_gemma":[0.9996566,0.00005795834,0.00003384425,0.0001493307,0.00003683806,0.00006549703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001555196,0.000277548,0.000187399,0.0001681632,0.0007211843,0.00001839684,0.0002737799,0.7149268,0.06689723,0.00007688005,0.0007644017,0.2155327],"study_design_scores_gemma":[0.000268052,0.0001060293,0.00004069268,0.00004787076,0.00008557439,0.000003079143,0.000009724997,0.3643758,0.6346741,7.734353e-7,0.0002600198,0.0001282183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7526525,0.00004642703,0.2459779,0.00002289563,0.0001551516,0.00004686243,0.000007631361,0.0001895564,0.0009010718],"genre_scores_gemma":[0.9983125,0.0007181752,0.0002234791,0.000019599,0.00001282195,0.00001136291,0.000001202572,0.00002320894,0.0006776401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5677769,"threshold_uncertainty_score":0.6344876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153672555","doi":"10.1109/tec.2006.874233","title":"A Simplified Wind Power Generation Model for Reliability Evaluation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":586,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Turbine; Renewable energy; Reliability (semiconductor); Electric power system; Reliability engineering; Monte Carlo method; Electricity generation; Computer science; Engineering; Marine engineering; Meteorology; Power (physics); Electrical engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01718282201504666,"gpt":0.2201616292721756,"spread":0.202978807257129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003468553,0.0001743966,0.0001592024,0.0001005265,0.0001567323,0.00002297288,0.00008699173,0.0001658635,0.00005405173],"category_scores_gemma":[0.000005980342,0.0001788677,0.000140147,0.0001270686,0.00003083982,0.00021852,5.46873e-7,0.00009149942,0.00001332208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473966,"about_ca_system_score_gemma":0.00004903212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007946245,"about_ca_topic_score_gemma":0.0001106577,"domain_scores_codex":[0.9988839,0.0000456913,0.0002879525,0.0002985741,0.0002560606,0.0002278087],"domain_scores_gemma":[0.9993311,0.00006122015,0.00003580649,0.0003269115,0.0001907507,0.00005417491],"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":[0.00004299168,0.00006950343,0.000001344,0.0000247038,0.00001207598,1.634853e-7,0.00005437369,0.9811526,0.0143267,0.0003837266,0.00250888,0.001422968],"study_design_scores_gemma":[0.0007538848,0.00005306947,0.00001203714,0.00001539988,0.00004041968,0.000001231538,0.00001363954,0.9214786,0.07354865,0.0005609457,0.003341974,0.0001802033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08355982,0.00003542763,0.9134817,0.00008741723,0.001346094,0.0003379874,0.000044975,0.0002208808,0.0008856933],"genre_scores_gemma":[0.9981849,0.00001629635,0.0007789484,0.00007136589,0.00006085242,0.0001214641,0.00003709693,0.00002894565,0.0007001461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.914625,"threshold_uncertainty_score":0.7294013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139937132","doi":"10.1109/tec.2005.859981","title":"Performance Assessment of Active Frequency Drifting Islanding Detection Methods","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":430,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SNC-Lavalin (Canada); Concordia University","funders":"","keywords":"Islanding; RLC circuit; Control theory (sociology); AC power; Q factor; Electronic engineering; Physics; Power (physics); Computer science; Engineering; Voltage; Electrical engineering; Electric power system; Capacitor; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.007793886054831545,"gpt":0.2418061072260555,"spread":0.2340122211712239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002082097,0.0001891782,0.0002140894,0.0004021536,0.0002032355,0.00001624544,0.000096752,0.000149438,0.00007558806],"category_scores_gemma":[0.000001386024,0.0002018326,0.0001124364,0.0004030646,0.0000335418,0.0002456848,9.113364e-7,0.0002314293,0.000006928819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614866,"about_ca_system_score_gemma":0.00001777605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003531195,"about_ca_topic_score_gemma":0.00005463114,"domain_scores_codex":[0.9989144,0.00009630682,0.0003434769,0.0002063579,0.0002196237,0.0002198753],"domain_scores_gemma":[0.9994822,0.0001138368,0.00009512652,0.0002082224,0.00006424841,0.00003643743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002853956,0.00005943481,0.0001929969,0.0001423622,0.00010579,0.000002028021,0.0001670845,0.4211552,0.5177196,0.00009449154,0.00004377263,0.0602887],"study_design_scores_gemma":[0.0003293924,0.00009486348,0.0004620719,0.00006309445,0.0000301722,0.00001022998,0.00006135611,0.2930191,0.7053324,0.00001840866,0.0004175913,0.0001612511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1548884,0.00001424005,0.8328597,0.00000302063,0.003334603,0.00006837156,0.000006746372,0.0002880715,0.008536799],"genre_scores_gemma":[0.9955772,0.00003952771,0.003923945,0.000004386034,0.0000859636,0.00003393616,0.000003156467,0.00003923357,0.0002926947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8406887,"threshold_uncertainty_score":0.8230495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121879133","doi":"10.1109/tec.2004.827719","title":"Performance of a Stand-Alone Renewable Energy System Based on Energy Storage as Hydrogen","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":396,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ballard Power Systems","keywords":"Energy storage; Renewable energy; Hydrogen storage; Automotive engineering; Hydrogen production; Power to gas; Process engineering; Hydrogen fuel; Electricity; Hydrogen economy; Electric power system; Hydrogen; Computer science; Engineering; Environmental science; Electrical engineering; Power (physics); Electrolysis; Fuel cells; Electrolyte; Chemistry; Chemical engineering; Electrode","retraction":null,"screen_n_in":null,"score":{"opus":0.004584475232860479,"gpt":0.1625554048487401,"spread":0.1579709296158796,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008223856,0.000289373,0.000342293,0.000307093,0.0001507542,0.00001637872,0.0001615313,0.0002777257,0.0001748194],"category_scores_gemma":[5.694333e-7,0.0002759587,0.0001469656,0.0002953923,0.00004607969,0.0001284441,0.00000147643,0.0001057633,0.00002484281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693305,"about_ca_system_score_gemma":0.00008341481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787111,"about_ca_topic_score_gemma":0.00005869167,"domain_scores_codex":[0.9987033,0.00004372536,0.0003462948,0.000278087,0.0003225458,0.0003060493],"domain_scores_gemma":[0.999326,0.00003771897,0.00007471577,0.0003748448,0.00005153073,0.0001352086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002386976,0.0001067857,2.942216e-7,0.000349468,0.00006925967,0.00002354487,0.00002932274,0.9378071,0.06087204,0.00006938798,0.00009618259,0.0003379095],"study_design_scores_gemma":[0.001248902,0.0003859152,4.724356e-7,0.0003331548,0.00004854994,0.000009365254,0.00002787202,0.2682712,0.7239856,0.000008228559,0.005457246,0.0002235837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5001894,0.001455567,0.448122,0.00007967345,0.006157558,0.000199768,0.000148858,0.00145182,0.04219538],"genre_scores_gemma":[0.997027,0.001461147,0.0001060708,0.00006370601,0.0000466593,0.00002362362,0.00001662965,0.00006823261,0.001186929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6695359,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110847005","doi":"10.1109/60.849122","title":"Control design and dynamic performance analysis of a wind turbine-induction generator unit","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":384,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Induction generator; Control theory (sociology); Wind power; Turbine; MATLAB; Generator (circuit theory); Engineering; Computer science; Power (physics); Electrical engineering; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.006972507808424687,"gpt":0.1809098677800922,"spread":0.1739373599716675,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001150212,0.0001985237,0.0003447267,0.0004933735,0.0001002923,0.00001556576,0.00008649372,0.0001360677,0.0003018134],"category_scores_gemma":[6.914367e-7,0.0001982356,0.0001232805,0.0006760955,0.00003981428,0.0002005995,3.080498e-7,0.0001295649,0.00001298876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007920603,"about_ca_system_score_gemma":0.00001751268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081717,"about_ca_topic_score_gemma":0.00002303324,"domain_scores_codex":[0.9990504,0.00008174888,0.0002788416,0.0002164611,0.0001800099,0.0001925549],"domain_scores_gemma":[0.9995096,0.00006955965,0.00004127101,0.0002394522,0.00005110277,0.0000890275],"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":[0.0001110338,0.00003039394,0.00003337093,0.00002227428,0.0006677126,0.000001813584,0.00005567433,0.9536253,0.02704245,0.000003334228,0.00001872517,0.01838787],"study_design_scores_gemma":[0.001222184,0.0001265639,0.0008937554,0.00002318344,0.0007116827,0.000006594671,0.00001517849,0.9583995,0.03778899,0.000001165417,0.0006249338,0.0001863093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408151,0.00009751441,0.3584925,0.0000180275,0.0002664731,0.00009462323,0.00001617551,0.0001058157,0.00009380826],"genre_scores_gemma":[0.9990117,0.0002599871,0.0001468314,0.00002976878,0.00002751047,0.00001565658,0.00000738489,0.00002815923,0.0004730173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3583456,"threshold_uncertainty_score":0.8083813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114661994","doi":"10.1109/tec.2004.827718","title":"Generating Capacity Adequacy Associated With Wind Energy","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":345,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Reliability (semiconductor); Monte Carlo method; Range (aeronautics); Electricity generation; Reliability engineering; Energy (signal processing); Computer science; Environmental science; Engineering; Power (physics); Meteorology; Statistics; Electrical engineering; Mathematics; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008797977929852582,"gpt":0.1713806469302396,"spread":0.162582669000387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008972097,0.0002241018,0.000210078,0.0001115314,0.0001993968,0.00002578582,0.0001225175,0.0001647555,0.00006245659],"category_scores_gemma":[0.000003867266,0.0002066859,0.00009413211,0.0002751046,0.0000624563,0.0002199198,7.698717e-7,0.000186342,0.00001706682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181296,"about_ca_system_score_gemma":0.00004424504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006797246,"about_ca_topic_score_gemma":0.0006261661,"domain_scores_codex":[0.998939,0.00004355838,0.0002124818,0.0002581245,0.0002282847,0.0003185096],"domain_scores_gemma":[0.9994589,0.00005407661,0.00004146913,0.000256676,0.00006740705,0.0001214896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002400974,0.00008863526,0.000003230463,0.00001920896,0.00008990809,0.0000117403,0.0001580247,0.9877158,0.0099391,0.0003241854,0.0001102611,0.0015159],"study_design_scores_gemma":[0.004027606,0.0005336434,0.000069748,0.0006430761,0.0001225105,0.00004722296,0.0001986034,0.1567193,0.8254547,0.0002517872,0.01086633,0.001065471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1893141,0.00004500003,0.8084423,0.00006140194,0.0008749025,0.00004495385,0.00001864129,0.0003995397,0.0007992052],"genre_scores_gemma":[0.9989469,0.00007263177,0.0003470303,0.000184323,0.00003835777,0.00001504665,0.00000757613,0.00003838023,0.0003497704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8309965,"threshold_uncertainty_score":0.8428409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100935434","doi":"10.1109/tec.2006.882415","title":"Multistate Wind Energy Conversion System Models for Adequacy Assessment of Generating Systems Incorporating Wind Energy","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":313,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Electric power system; Monte Carlo method; Reliability (semiconductor); Reliability engineering; Energy transformation; Sampling (signal processing); Electricity generation; Energy (signal processing); Computer science; Wind speed; Engineering; Power (physics); Electrical engineering; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.01647586914828242,"gpt":0.2119082690651478,"spread":0.1954323999168654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003049367,0.0004608087,0.0006889688,0.0003310144,0.0004864825,0.00003507281,0.0002809127,0.0003193339,0.00001094208],"category_scores_gemma":[0.00000369558,0.0004760668,0.0002996888,0.0003328692,0.0001161222,0.0005180452,0.000006008062,0.0001909435,0.000002530952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006797839,"about_ca_system_score_gemma":0.0001535467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307646,"about_ca_topic_score_gemma":0.00006274098,"domain_scores_codex":[0.9973193,0.0001794435,0.0009480049,0.0005608404,0.0004911214,0.0005012321],"domain_scores_gemma":[0.9983735,0.0002624517,0.000311031,0.0005354715,0.0003034122,0.000214129],"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":[0.00008169817,0.00009270906,0.000006496567,0.0006907681,0.0001450465,0.00001928762,0.000153116,0.9689804,0.025608,0.003003704,0.0003389135,0.0008799174],"study_design_scores_gemma":[0.00148396,0.0002105251,0.000003562417,0.0004983685,0.00006432536,0.00005310835,0.0004381028,0.8971146,0.09749842,0.00001428776,0.00219937,0.0004213865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02894824,0.0002932192,0.9662132,0.00001351734,0.003186072,0.0002330809,0.0001432152,0.0003663719,0.0006031122],"genre_scores_gemma":[0.9961022,0.0003270672,0.002578357,0.00003931738,0.0001238508,0.00008361472,0.00005016,0.00009217039,0.000603292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9671539,"threshold_uncertainty_score":0.9997691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973663498","doi":"10.1109/tec.2014.2383991","title":"An Offline Torque Sharing Function for Torque Ripple Reduction in Switched Reluctance Motor Drives","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":285,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Switched reluctance motor; Control theory (sociology); Torque ripple; Torque; Copper loss; Torque limiter; Direct torque control; Computer science; Engineering; Induction motor; Physics; Electrical engineering; Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.01463413956420363,"gpt":0.2151941149957944,"spread":0.2005599754315907,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001734962,0.0001925915,0.0002107037,0.0003668738,0.00009079281,0.000028005,0.0001291931,0.0001662318,0.00004371393],"category_scores_gemma":[0.000003859265,0.0002125232,0.0001097428,0.000444013,0.00001898938,0.000424828,5.968899e-7,0.0001648185,0.000007940183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003795984,"about_ca_system_score_gemma":0.00003243824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003073724,"about_ca_topic_score_gemma":0.0001754704,"domain_scores_codex":[0.9989491,0.00002676575,0.0002635685,0.0003384954,0.0001724898,0.0002495669],"domain_scores_gemma":[0.9994212,0.00002908204,0.00004193045,0.0002721098,0.00008648116,0.000149182],"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":[0.0005679365,0.0002241776,0.00003515409,0.00004929403,0.0001057798,0.000003598441,0.0003711557,0.5130402,0.4504884,0.0002109647,0.0005497405,0.03435356],"study_design_scores_gemma":[0.001292939,0.0004399852,0.0000457028,0.00003800573,0.00007072045,0.00000464427,0.0001418911,0.7841774,0.2109817,0.000302554,0.002205042,0.0002993837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1622974,0.00009096113,0.8360226,0.00004532257,0.001005216,0.0001426551,0.000008743685,0.0002790494,0.0001080569],"genre_scores_gemma":[0.9970712,0.0001463933,0.001516744,0.00003432246,0.0001725743,0.0001016855,0.00002852478,0.00004297994,0.0008855583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8347738,"threshold_uncertainty_score":0.8666446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147006809","doi":"10.1109/tec.2002.801995","title":"Performance analysis of a three-phase induction motor under mixed eccentricity condition","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":243,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Harmonics; Eccentricity (behavior); Inductance; Induction motor; Rotor (electric); Control theory (sociology); Harmonic analysis; Finite element method; Electromagnetic coil; Stator; Line (geometry); Computer science; Engineering; Voltage; Electronic engineering; Mathematics; Electrical engineering; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0159063136565357,"gpt":0.2418987488951612,"spread":0.2259924352386255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006423436,0.0001771769,0.0002546402,0.0008572837,0.00009486914,0.00001052528,0.0001085263,0.000148576,0.001006196],"category_scores_gemma":[0.000002072369,0.0001892457,0.0001930384,0.001004652,0.00004329842,0.0002612121,8.962048e-7,0.0001609738,0.00001551083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738011,"about_ca_system_score_gemma":0.000004477347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496005,"about_ca_topic_score_gemma":0.00009253213,"domain_scores_codex":[0.9990871,0.00003371328,0.0002695013,0.0002002167,0.0002313569,0.0001780911],"domain_scores_gemma":[0.9994637,0.00007411989,0.00006362867,0.0002630639,0.00006234787,0.00007311205],"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":[0.00006545823,0.0007688937,0.0002290117,0.00006903293,0.0009482818,0.000002660382,0.00008262043,0.8991181,0.02956537,0.00005963138,0.001078303,0.0680127],"study_design_scores_gemma":[0.0004618142,0.0001389667,0.0007375361,0.00001760871,0.000392768,0.000001162894,0.000009981266,0.6955151,0.3023012,0.000006238596,0.0002811534,0.0001364927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5289612,0.00002071467,0.4700728,0.00002014834,0.0003325905,0.00006126492,0.00004169034,0.0002722208,0.0002173229],"genre_scores_gemma":[0.9989998,0.0005496075,0.0002419623,0.00003302045,0.00001983659,0.00003931419,0.00002986133,0.00002268169,0.00006390657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4700386,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078309930","doi":"10.1109/tec.2009.2031814","title":"Nighttime Application of PV Solar Farm as STATCOM to Regulate Grid Voltage","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":241,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro One (Canada); Western University","funders":"","keywords":"Photovoltaic system; Renewable energy; Grid-connected photovoltaic power system; Maximum power point tracking; Grid; Fault (geology); AC power; Wind power; Controller (irrigation); Electrical engineering; Distributed generation; Engineering; MATLAB; Control theory (sociology); Computer science; Voltage; Automotive engineering; Control (management); Inverter; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.002822460341886473,"gpt":0.1761114085175909,"spread":0.1732889481757044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005452396,0.0001592533,0.0001734371,0.0001999153,0.00008169882,0.00001370219,0.0001215799,0.0001050973,0.00008823346],"category_scores_gemma":[8.42741e-7,0.0001686249,0.00009050307,0.0002735348,0.00001436473,0.0001110758,6.386329e-7,0.00009610022,0.00006604324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007798847,"about_ca_system_score_gemma":0.0000133885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077954,"about_ca_topic_score_gemma":0.00002268966,"domain_scores_codex":[0.9992138,0.00001608113,0.0002295191,0.0001984218,0.0001605559,0.0001816214],"domain_scores_gemma":[0.999515,0.00002039724,0.00003744496,0.0002635701,0.0000643709,0.00009922215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007626551,0.00005699282,9.337788e-7,0.00001009602,0.00002513709,0.000001242103,0.00008745569,0.7423808,0.1306092,0.0001049431,0.0002299069,0.126417],"study_design_scores_gemma":[0.0007289313,0.0002247091,0.00006172241,0.0000239174,0.00004544531,0.000003434252,0.00002400271,0.3932063,0.5808864,0.0001049944,0.02445242,0.0002376871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01142651,0.00006965298,0.9869822,0.0001456293,0.0004070976,0.0001365273,0.00002282718,0.0002350325,0.0005745593],"genre_scores_gemma":[0.9980838,0.0002635831,0.0008532492,0.0002709981,0.00004686316,0.00001457683,0.00002372157,0.00002261453,0.0004206269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9866573,"threshold_uncertainty_score":0.6876323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246247914","doi":"10.1109/60.969477","title":"Reliability/cost implications of PV and wind energy utilization in small isolated power systems","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":240,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Reliability engineering; Renewable energy; Reliability (semiconductor); Electric power system; Energy source; Electricity generation; Environmental science; Photovoltaics; Computer science; Photovoltaic system; Environmental economics; Engineering; Automotive engineering; Power (physics); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01321043943066802,"gpt":0.201135004258081,"spread":0.187924564827413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001357858,0.0001699282,0.0002366795,0.0002463349,0.0000649943,0.00001437676,0.0001072803,0.0001837262,0.0000332278],"category_scores_gemma":[0.000005259162,0.0001760817,0.00006085538,0.0004722119,0.00006089937,0.0001620109,0.000001632224,0.0001148961,0.000003574611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631958,"about_ca_system_score_gemma":0.00002428532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008843391,"about_ca_topic_score_gemma":0.0003875948,"domain_scores_codex":[0.9989654,0.00007040866,0.0003856006,0.0002694089,0.00008935962,0.000219785],"domain_scores_gemma":[0.9993138,0.00009906708,0.00005211816,0.0003505982,0.00009772523,0.00008666386],"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":[0.0001974422,0.0003378573,0.0004965317,0.0002302096,0.0000650414,0.000006698978,0.0004206181,0.9678599,0.02042981,0.00224846,0.0002228967,0.007484591],"study_design_scores_gemma":[0.003327974,0.0005661322,0.005923592,0.0008258006,0.0001056893,0.0001201554,0.0006964386,0.8531674,0.05626498,0.0004525174,0.07745888,0.001090507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1416534,0.0002507753,0.8556591,0.00006963398,0.0007670097,0.0001569458,0.0000234292,0.0001437634,0.001275865],"genre_scores_gemma":[0.9984328,0.001101556,0.00003599151,0.00003311934,0.00000671757,0.00003455095,0.000008159144,0.00002405408,0.0003231112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8567793,"threshold_uncertainty_score":0.7180405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972674445","doi":"10.1109/tec.2008.2005316","title":"Maximum Power Tracking Control for a Wind Turbine System Including a Matrix Converter","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":231,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Maximum power point tracking; Power optimizer; Control theory (sociology); Wind power; Turbine; Maximum power principle; Induction generator; AC power; Wind speed; Power (physics); Engineering; Voltage; Computer science; Electrical engineering; Physics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.01245124344363582,"gpt":0.2193646907765907,"spread":0.2069134473329549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001516501,0.0003836988,0.0004481268,0.0002941146,0.000247556,0.00007227388,0.0002259904,0.0002348146,0.0001721185],"category_scores_gemma":[0.000001726488,0.0003766284,0.0003418127,0.0001808395,0.00003369755,0.000312638,8.440053e-7,0.0002129432,0.00005059837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140724,"about_ca_system_score_gemma":0.00002499752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003543136,"about_ca_topic_score_gemma":0.000005305622,"domain_scores_codex":[0.9983429,0.00004418205,0.0004611341,0.0003922752,0.0002766101,0.0004828651],"domain_scores_gemma":[0.9991858,0.000112551,0.00007231832,0.0003519469,0.00009603312,0.0001813741],"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":[0.002266414,0.0005728717,0.00003879431,0.0006956137,0.001245858,0.0001463707,0.002184666,0.2879845,0.1624727,0.001863952,0.01113193,0.5293964],"study_design_scores_gemma":[0.004031878,0.0002719841,0.00005418145,0.0001640694,0.0001211699,0.0000304423,0.0002929415,0.9439411,0.04666558,0.000043832,0.003883057,0.000499822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01210259,0.00006564536,0.984083,0.0002137875,0.002126226,0.0003081488,0.00006533274,0.0005253269,0.0005099552],"genre_scores_gemma":[0.9984291,0.00002151334,0.0002926992,0.0007408432,0.0000765564,0.00003241866,0.000009296478,0.00006111615,0.000336464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9863265,"threshold_uncertainty_score":0.9998686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2563156639","doi":"10.1109/tec.2016.2645450","title":"Adjusting Synchronverter Dynamic Response Speed via Damping Correction Loop","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":231,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Voltage droop; Robustness (evolution); Step response; Computer science; Damping ratio; Frequency domain; Loop (graph theory); Transfer function; Frequency response; Power (physics); Control engineering; Physics; Engineering; Mathematics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.004289525629134035,"gpt":0.1781983696337221,"spread":0.1739088440045881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001258633,0.0002133688,0.0001653129,0.0002677357,0.0001711719,0.00002302284,0.0001032263,0.0001509632,0.00038654],"category_scores_gemma":[0.000005184566,0.0001828714,0.0001107663,0.0002239468,0.00003546094,0.0003085988,0.000001191698,0.0001241601,0.0001389832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618998,"about_ca_system_score_gemma":0.00002141425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004207206,"about_ca_topic_score_gemma":0.00003360732,"domain_scores_codex":[0.9989868,0.00007928604,0.0002326499,0.0002622716,0.0001593357,0.0002796976],"domain_scores_gemma":[0.9994001,0.0001729527,0.00004192022,0.0002345567,0.00005796424,0.00009255164],"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":[0.0004763146,0.00003356399,0.000004125605,0.00001519452,0.0000543574,0.000006901089,0.00005621563,0.3546613,0.2739066,0.000001016948,0.0003390688,0.3704453],"study_design_scores_gemma":[0.0010734,0.00008757426,0.00006786828,0.0001202403,0.00004482046,0.0000201843,0.00002776027,0.8418761,0.1549859,0.00000455214,0.001440823,0.0002506878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04517667,0.00007868744,0.9504192,0.0001259657,0.003456874,0.00007585823,0.000007962363,0.0005289713,0.0001297771],"genre_scores_gemma":[0.9972779,0.0004257782,0.0002127856,0.00009587075,0.00005041881,0.000009859107,0.000004970466,0.00005020557,0.001872229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9521012,"threshold_uncertainty_score":0.7457278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133633527","doi":"10.1109/tec.2006.875475","title":"Considering Load-Carrying Capability and Wind Speed Correlation of WECS in Generation Adequacy Assessment","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":218,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Reliability (semiconductor); Monte Carlo method; Electric power system; Reliability engineering; Renewable energy; Engineering; Power (physics); Environmental science; Meteorology; Statistics; Electrical engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01002003879108586,"gpt":0.2050442218495926,"spread":0.1950241830585067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109392,0.0001302775,0.0001855625,0.0001209266,0.00006024492,0.00001273938,0.00003998118,0.0001124234,0.00002548449],"category_scores_gemma":[0.000003527905,0.0001432797,0.00004825288,0.0001522737,0.00005087689,0.00021012,0.000001014157,0.000135078,0.000001659281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003449136,"about_ca_system_score_gemma":0.00004203504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156245,"about_ca_topic_score_gemma":0.0005253947,"domain_scores_codex":[0.9990883,0.00005571631,0.0003335121,0.0002003092,0.0001736002,0.0001485053],"domain_scores_gemma":[0.9996131,0.0000812436,0.0000472475,0.0001660906,0.00005603679,0.00003629405],"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":[0.00001639975,0.00005604282,0.0007092203,0.00008918536,0.000009330434,0.000002125597,0.000126136,0.9336433,0.06348431,0.0001847802,0.00004165257,0.001637468],"study_design_scores_gemma":[0.0009636275,0.00005560603,0.003036997,0.0001170104,0.00002226281,0.000006582776,0.0001175938,0.8559307,0.1389192,0.0001055629,0.0005257899,0.0001989909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6089447,0.00006360782,0.3894387,0.00002899244,0.0007819018,0.00009380691,0.00000610092,0.00005668881,0.0005854959],"genre_scores_gemma":[0.9994215,0.0000622116,0.0003841984,0.00001142589,0.0000241497,0.000003251523,0.000005581257,0.00001312411,0.00007459401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3904768,"threshold_uncertainty_score":0.5842775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153991772","doi":"10.1109/tec.2003.822293","title":"Cost-Effective Wind Energy Utilization for Reliable Power Supply","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":217,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Reliability engineering; Reliability (semiconductor); Electric power system; Probabilistic logic; Computer science; Engineering; Automotive engineering; Power (physics); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0135003558490306,"gpt":0.2185861255398744,"spread":0.2050857696908438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009847549,0.000221195,0.0002110537,0.000156612,0.0001713453,0.00002288988,0.0001239826,0.0001948571,0.00007604122],"category_scores_gemma":[0.00000409922,0.0002280913,0.0001566398,0.0002435936,0.00004606481,0.000258573,9.610608e-7,0.0001080729,0.00002600304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190644,"about_ca_system_score_gemma":0.00003984738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002453839,"about_ca_topic_score_gemma":0.0001057373,"domain_scores_codex":[0.9989671,0.0000235083,0.0002224209,0.0003011153,0.0001611924,0.0003247073],"domain_scores_gemma":[0.9993758,0.00008687383,0.00003397686,0.0002847055,0.0001061746,0.0001124461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001965446,0.0001605122,0.000002679976,0.00008555091,0.00008567649,0.000004320967,0.0002378281,0.9755775,0.005528964,0.002817418,0.001620783,0.01368223],"study_design_scores_gemma":[0.002716832,0.0004315006,0.00003499565,0.0002079566,0.00005797915,0.00001339192,0.0001394346,0.03352736,0.6625638,0.0006976132,0.2991522,0.0004569693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004257302,0.0001162075,0.9907963,0.0001037175,0.002654614,0.0004450988,0.00005549182,0.0003481121,0.001223156],"genre_scores_gemma":[0.9979768,0.0002573504,0.0003554051,0.0001962169,0.00003508111,0.0003042825,0.00002113865,0.00004812779,0.0008055902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9937195,"threshold_uncertainty_score":0.9301292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098816752","doi":"10.1109/tec.2004.832070","title":"Development of a Novel Wind Turbine Simulator for Wind Energy Conversion Systems Using an Inverter-Controlled Induction Motor","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":216,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Turbine; Wind power; Torque; Drivetrain; Engineering; Automotive engineering; Inverter; Wind speed; Control theory (sociology); Simulation; Computer science; Electrical engineering; Mechanical engineering; Voltage; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.02206756311230455,"gpt":0.2233635214679496,"spread":0.2012959583556451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000206982,0.0003844259,0.0006367285,0.0005081126,0.0002713825,0.00005282438,0.00016631,0.0003303614,0.00003161563],"category_scores_gemma":[0.0000036284,0.0003824054,0.0002461724,0.0002834705,0.00004185477,0.0005470778,0.000001955898,0.0001266867,0.000004507621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005653276,"about_ca_system_score_gemma":0.0001580945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005533937,"about_ca_topic_score_gemma":0.00004177657,"domain_scores_codex":[0.9979994,0.00005425363,0.0007978761,0.0003959273,0.0004041311,0.0003484159],"domain_scores_gemma":[0.998942,0.00008619278,0.0002063493,0.0003329189,0.0002165005,0.0002160326],"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":[0.0005714991,0.0002234893,0.000001076633,0.00008437942,0.0001895155,8.651191e-7,0.0002211164,0.7405004,0.2566057,0.00008015904,0.000004671408,0.001517139],"study_design_scores_gemma":[0.01522195,0.000204014,0.000009189707,0.0001635096,0.0001123417,0.000008274385,0.0003143875,0.8531891,0.12871,0.000005348022,0.001706202,0.0003557238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.371433,0.00004350048,0.6263219,0.000008512595,0.001609681,0.0003659751,0.0000233118,0.0001525408,0.00004159905],"genre_scores_gemma":[0.9982828,0.00001499158,0.001156475,0.0000421349,0.0001479889,0.00003976824,0.00003611404,0.00007654241,0.0002032103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6268498,"threshold_uncertainty_score":0.9998628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109822621","doi":"10.1109/tec.2006.889621","title":"Adaptive Distance Relay Setting for Lines Connecting Wind Farms","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Relay; Wind power; Grid; Wind speed; Line (geometry); Voltage; Electrical engineering; Power (physics); Boundary (topology); Protective relay; Electric power system; Topology (electrical circuits); Computer science; Control theory (sociology); Engineering; Mathematics; Meteorology; Physics; Geometry; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.009360239899804869,"gpt":0.2183373131814755,"spread":0.2089770732816706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002677214,0.0002097293,0.000178436,0.0002062488,0.0002803697,0.00002128653,0.00009762834,0.00017517,0.00001696166],"category_scores_gemma":[0.000007378068,0.0002286548,0.0001311902,0.0002511873,0.00002233252,0.000216366,6.892477e-7,0.0001945791,0.00001527954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741773,"about_ca_system_score_gemma":0.00001127298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005837882,"about_ca_topic_score_gemma":0.0002274424,"domain_scores_codex":[0.9988984,0.00002250226,0.0003019938,0.0002691998,0.0001658472,0.0003419885],"domain_scores_gemma":[0.9992744,0.0002967672,0.00006324483,0.0001937848,0.00007674633,0.0000950369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005211681,0.00008301254,0.00002335667,0.0001817901,0.0002349034,0.00001959335,0.001102559,0.7175893,0.06396862,0.0001414802,0.0004616127,0.2156726],"study_design_scores_gemma":[0.001079555,0.0001901541,0.00002078761,0.0001575238,0.00004831762,0.00002584576,0.0009362755,0.2822501,0.6514742,0.00002133572,0.06338167,0.0004142583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04027404,0.00007651004,0.9544799,0.0000228952,0.003750347,0.0001575136,0.00002638894,0.0005565566,0.0006558719],"genre_scores_gemma":[0.997543,0.00001886831,0.001726385,0.00003950543,0.000169714,0.00001593624,0.000005461095,0.00006225918,0.0004188824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957269,"threshold_uncertainty_score":0.9324272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4237008385","doi":"10.1109/60.986441","title":"Performance of interior permanent magnet motor drive over wide speed range","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":184,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Inverter; Digital signal processor; Torque; Synchronous motor; Magnet; Power (physics); Range (aeronautics); Digital signal processing; Permanent magnet synchronous generator; Direct torque control; Voltage; Limit (mathematics); Computer science; Motor drive; Controller (irrigation); Automotive engineering; Engineering; Electrical engineering; Physics; Induction motor; Mathematics; Mechanical engineering; Control (management); Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007476404896434571,"gpt":0.1741492442248332,"spread":0.1666728393283987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003303203,0.0001548401,0.0001902843,0.0002470648,0.00005718847,0.000008149108,0.0001119372,0.0000809433,0.002234226],"category_scores_gemma":[7.111841e-7,0.0001547255,0.0001525906,0.0002475288,0.00003094032,0.0001295078,6.696214e-7,0.0001203352,0.00006230797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009074622,"about_ca_system_score_gemma":0.000003952261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000634641,"about_ca_topic_score_gemma":0.000007926476,"domain_scores_codex":[0.9992643,0.0000215354,0.0001980771,0.0001515447,0.0001843993,0.0001801391],"domain_scores_gemma":[0.9996362,0.00003933864,0.00003186041,0.0001904833,0.00002976788,0.00007237403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003152725,0.0003109363,0.0005304967,0.0003554576,0.0006231689,0.00003766991,0.0009837688,0.1081316,0.7062621,0.00002176983,0.006646025,0.1757818],"study_design_scores_gemma":[0.000604817,0.0002362227,0.0002400795,0.00004382648,0.00008268997,0.000003574038,0.00001257129,0.8129237,0.1838627,8.097088e-7,0.001806524,0.0001825255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452808,0.0001384643,0.05211631,0.00003129024,0.0004270265,0.00007094016,0.00001372772,0.0001534969,0.001767962],"genre_scores_gemma":[0.9950311,0.001286065,0.0001241292,0.0000644961,0.00002636442,0.000006419632,0.000002378696,0.00002359022,0.003435498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7047921,"threshold_uncertainty_score":0.9986778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138604071","doi":"10.1109/tec.2005.860392","title":"A Neutral-Point Clamped Converter System for Direct-Drive Variable-Speed Wind Power Unit","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":180,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Power optimizer; Wind power; Engineering; Boost converter; Electrical engineering; Chopper; Power factor; Electric power system; AC power; Turbine; Maximum power point tracking; Control theory (sociology); Power (physics); Voltage; Computer science; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.00940617737481971,"gpt":0.1867173253856541,"spread":0.1773111480108344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009219741,0.000414368,0.0004038796,0.0002781499,0.0002311289,0.0000611822,0.0002177569,0.000282327,0.0002889437],"category_scores_gemma":[7.012817e-7,0.0004214811,0.0002640932,0.0002647352,0.00006437052,0.0002751021,0.000001750579,0.0002030722,0.00007461535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672984,"about_ca_system_score_gemma":0.00004154662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006457642,"about_ca_topic_score_gemma":0.00006129427,"domain_scores_codex":[0.9984095,0.00005006232,0.0004114879,0.000436974,0.0001796168,0.0005123717],"domain_scores_gemma":[0.9991278,0.0001349698,0.00006250738,0.0004019254,0.0001119337,0.0001608612],"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":[0.001314387,0.0006689394,0.00004666648,0.0009365759,0.001201279,0.00008112995,0.0009651972,0.7737049,0.1628727,0.007117751,0.02840314,0.02268727],"study_design_scores_gemma":[0.002682897,0.0001444127,0.0000281597,0.000136514,0.0001417285,0.00001477049,0.0002920468,0.7906022,0.1882585,0.00004711307,0.01706727,0.0005843977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01590082,0.00003577752,0.9725795,0.00006747259,0.003521762,0.0003478339,0.0001406079,0.000770443,0.006635799],"genre_scores_gemma":[0.9968971,0.00002056971,0.0003456879,0.0002685692,0.00008733566,0.00005034428,0.00004088481,0.00009753032,0.00219198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809963,"threshold_uncertainty_score":0.9998237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135335961","doi":"10.1109/tec.2005.847996","title":"Evaluation of Different Operating Strategies in Small Stand-Alone Power Systems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":158,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Diesel fuel; Automotive engineering; Reliability (semiconductor); Energy storage; Wind power; Reliability engineering; Engineering; Environmental science; Power (physics); Computer science; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01621384360418802,"gpt":0.2184865631251436,"spread":0.2022727195209556,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004403654,0.0001440672,0.0002117229,0.0001516698,0.00004186011,0.00002243111,0.00008737003,0.0001003128,0.0000603294],"category_scores_gemma":[0.000003379551,0.0001332978,0.00005919861,0.0001357333,0.00002417941,0.0001967657,7.342916e-7,0.0001204973,0.000006436342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824849,"about_ca_system_score_gemma":0.00005613548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002279966,"about_ca_topic_score_gemma":0.0005132147,"domain_scores_codex":[0.9989119,0.0001284637,0.0003257395,0.0001637138,0.0002968083,0.0001733607],"domain_scores_gemma":[0.9995346,0.00005102795,0.00003674715,0.0001998107,0.0001336237,0.0000441642],"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":[0.000014589,0.0000841845,0.000005513314,0.00007566909,0.00002948606,6.540804e-7,0.0003547819,0.9848039,0.01128105,0.0002615543,0.00002268789,0.003065931],"study_design_scores_gemma":[0.001281359,0.0001051195,0.0001130318,0.0003604356,0.00005014521,0.000003611656,0.001204877,0.8774655,0.1186249,0.00002879113,0.0005598712,0.0002024396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5388223,0.0004021237,0.4575766,0.00002328786,0.000972987,0.0001602104,0.000009850071,0.00008449714,0.001948163],"genre_scores_gemma":[0.9996427,0.0001262626,0.00006086617,0.000006902882,0.00001319982,0.00004189496,0.000001855111,0.00001600302,0.00009035708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4608204,"threshold_uncertainty_score":0.5435726,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025133193","doi":"10.1109/tec.2003.822296","title":"Identification of Physical Parameters of a Synchronous Generator From Online Measurements","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Nonlinear system; Permanent magnet synchronous generator; Transfer function; Voltage; Multivariable calculus; Generator (circuit theory); Synchronous motor; Electric generator; Engineering; Computer science; Power (physics); Control engineering; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02167122959411467,"gpt":0.2398828959625312,"spread":0.2182116663684165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002832049,0.0001125151,0.0001717906,0.00007363618,0.00005813964,0.000005555319,0.00008866036,0.0000373733,0.00008374499],"category_scores_gemma":[3.475561e-7,0.0001093293,0.0001599023,0.0001351472,0.00005507794,0.00009105492,9.127524e-7,0.00008334712,0.000005654471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003879357,"about_ca_system_score_gemma":0.00003995323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000848982,"about_ca_topic_score_gemma":0.000008316936,"domain_scores_codex":[0.9992193,0.00003452858,0.0002470585,0.0001941457,0.0002059182,0.00009906696],"domain_scores_gemma":[0.9994999,0.00002271161,0.0001520483,0.0001957443,0.00007428356,0.00005527262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001051207,0.001234534,0.00003295238,0.000007641593,0.0001538795,2.44219e-7,0.000169913,0.4739956,0.4902634,0.0002578149,0.00002245969,0.03375648],"study_design_scores_gemma":[0.0007888008,0.0000988825,0.00003631328,0.00003096526,0.00006754024,1.389518e-7,0.00007801221,0.02187263,0.9766069,0.0002995009,0.00002793317,0.00009237607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5776483,0.000005884026,0.4219413,0.00002587767,0.0002436321,0.0000381398,0.00006220244,0.00001020436,0.0000244728],"genre_scores_gemma":[0.9994512,0.000008571435,0.0003443087,0.00002164843,0.00007124546,0.000008193289,0.00003289388,0.00001141885,0.00005056853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4863435,"threshold_uncertainty_score":0.445832,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135825300","doi":"10.1109/tec.2005.847995","title":"Simple Wind Energy Controller for an Expanded Operating Range","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Wind power; Turbine; Range (aeronautics); Wind speed; Power (physics); Computer science; Power optimizer; Controller (irrigation); Energy (signal processing); Simple (philosophy); Small wind turbine; Automotive engineering; Engineering; Electrical engineering; Control theory (sociology); Maximum power point tracking; Control (management); Aerospace engineering; Voltage; Meteorology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01813230707098422,"gpt":0.2420783147265566,"spread":0.2239460076555724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003219822,0.0004918316,0.0005690274,0.0003586602,0.0006775797,0.00009324121,0.0003433156,0.0003266157,0.0004617093],"category_scores_gemma":[0.00001085452,0.0004759458,0.000366016,0.0003015373,0.00007499196,0.0008150483,0.000003145693,0.0001611453,0.00004537964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003538296,"about_ca_system_score_gemma":0.00009828621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009077486,"about_ca_topic_score_gemma":0.004210924,"domain_scores_codex":[0.9971294,0.0002926939,0.0006503999,0.0006891217,0.0004435522,0.0007948304],"domain_scores_gemma":[0.9983655,0.0002903299,0.000166321,0.0005767281,0.0001810316,0.0004200397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00046181,0.0004854518,0.00001434265,0.00001838484,0.0002116077,0.000003925131,0.0002547577,0.8892348,0.03613921,0.002997744,0.002165138,0.06801284],"study_design_scores_gemma":[0.005967442,0.0004635197,0.000007357601,0.00004170969,0.00009525337,0.00002535989,0.0003467647,0.2762687,0.3723126,0.00006402989,0.3437379,0.0006694206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06671537,0.0002000269,0.9233196,0.0002062981,0.002182298,0.000281967,0.0000699919,0.0005870529,0.006437369],"genre_scores_gemma":[0.9856399,0.00008273779,0.0007248559,0.001326839,0.001049818,0.0002131517,0.00007765927,0.0001405819,0.01074441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9225948,"threshold_uncertainty_score":0.9997692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140594587","doi":"10.1109/tec.2007.905069","title":"One Day Ahead Prediction of Wind Speed and Direction","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Wind speed; Wind direction; Interval (graph theory); Meteorology; Time series; Computer science; Environmental science; Mathematics; Machine learning; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01368022480678066,"gpt":0.1867621698018,"spread":0.1730819449950194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005697027,0.00009306104,0.0001177968,0.00005733938,0.000278366,0.000002866375,0.00004247963,0.00006163472,0.0003701509],"category_scores_gemma":[0.000001455999,0.00009302148,0.00004826295,0.000160762,0.0002050668,0.0001715031,0.000002411375,0.00007032762,0.0000297242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006065397,"about_ca_system_score_gemma":0.000004748954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051754,"about_ca_topic_score_gemma":0.00003115246,"domain_scores_codex":[0.9993065,0.00003486256,0.0001314902,0.0002056979,0.0002063928,0.0001150752],"domain_scores_gemma":[0.9997551,0.00003337467,0.00004134181,0.0001066722,0.00000838313,0.00005511272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005276994,0.002084607,0.01753326,0.00006241399,0.0002765584,0.00002015874,0.00366432,0.08282433,0.7113688,0.00004814468,0.007222198,0.1743675],"study_design_scores_gemma":[0.002167337,0.0008877859,0.1515169,0.00008871414,0.000122455,0.00003359844,0.0002472246,0.01178223,0.8134627,0.00006575806,0.01923614,0.0003891388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695788,0.00002931539,0.02573748,0.0001670076,0.0006721125,0.00006541211,0.00001785674,0.00006221035,0.003669776],"genre_scores_gemma":[0.9968356,0.0005388408,0.00007807917,0.00005324455,0.00002841179,0.00000112348,0.000002235304,0.000007696467,0.002454733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1739783,"threshold_uncertainty_score":0.4052893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169758235","doi":"10.1109/tec.2007.914352","title":"A Current Control Scheme With an Adaptive Internal Model for Torque Ripple Minimization and Robust Current Regulation in PMSM Drive Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Ripple; Lyapunov function; Harmonics; Internal model; Adaptive control; Torque; Torque ripple; Computer science; Engineering; Direct torque control; Voltage; Induction motor; Nonlinear system; Physics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.01720987300101613,"gpt":0.1998304463558698,"spread":0.1826205733548537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005125966,0.0001598121,0.0001913363,0.0002726105,0.0001011998,0.00001540812,0.00005328496,0.00006882202,0.000005400164],"category_scores_gemma":[9.38787e-7,0.0001527587,0.00005030589,0.0001948883,0.00002769949,0.000247775,3.628692e-7,0.0001227103,6.171589e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785691,"about_ca_system_score_gemma":0.00003254422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068748,"about_ca_topic_score_gemma":0.0001217238,"domain_scores_codex":[0.9992306,0.00003836017,0.000196313,0.0002281255,0.0001455706,0.0001609995],"domain_scores_gemma":[0.9996418,0.00003991216,0.00004657832,0.000108503,0.00008171609,0.00008149005],"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":[0.0002639808,0.00008272245,0.00003927894,0.00002994565,0.00004139198,9.717073e-7,0.0001967947,0.9895845,0.000661765,0.0001081633,0.00004974276,0.008940733],"study_design_scores_gemma":[0.001650018,0.0002097801,0.00003914208,0.0001014649,0.00005213834,0.000005696533,0.000023476,0.9959474,0.001693203,0.00001257238,0.00009365541,0.0001714535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03739419,0.0002938346,0.9618008,0.000007274201,0.0002001906,0.000198057,0.00002045071,0.00007419912,0.00001102025],"genre_scores_gemma":[0.9973233,0.0005265096,0.001892351,0.000005899614,0.00003692036,0.0001026672,0.00002052508,0.00002296946,0.00006880808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9599292,"threshold_uncertainty_score":0.6229318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2620770451","doi":"10.1109/tec.2017.2710159","title":"Power Loss and Thermal Analysis of a MW High-Speed Permanent Magnet Synchronous Machine","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; National Natural Science Foundation of China; Queen's University Belfast; Royal Society","keywords":"Magnet; Finite element method; Rotor (electric); Power (physics); Synchronous motor; Transient (computer programming); Automotive engineering; Power density; Thermal; Mechanical engineering; Materials science; Computer science; Control theory (sociology); Engineering; Electrical engineering; Physics; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.004707558201394949,"gpt":0.1882954453286229,"spread":0.1835878871272279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006060273,0.0001565284,0.0002923601,0.0003822155,0.0001917325,0.00003048591,0.0001557636,0.00008753103,0.0007066668],"category_scores_gemma":[9.631681e-7,0.0001471399,0.0001806745,0.0002142642,0.00006573082,0.0001163633,0.000001529441,0.0001056573,0.000006017341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005042408,"about_ca_system_score_gemma":0.000008604508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008384807,"about_ca_topic_score_gemma":0.00008611688,"domain_scores_codex":[0.9992867,0.00002558602,0.0001719506,0.0001859147,0.000164965,0.0001649613],"domain_scores_gemma":[0.9994047,0.00003443696,0.0000586582,0.0003881217,0.00003218449,0.00008195601],"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":[0.0002873166,0.0004465753,0.0009136532,0.0001122026,0.007586981,0.0001060548,0.0006226671,0.6830839,0.1938037,0.0003381808,0.0002296278,0.1124691],"study_design_scores_gemma":[0.0009717771,0.00019641,0.005613601,0.00002069998,0.001811879,0.000004747033,0.00001674722,0.9051727,0.08549318,0.000008682412,0.0003643595,0.0003251997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8216066,0.0001794309,0.1769528,0.00007061942,0.0002083428,0.00004191343,0.00004114651,0.00008123021,0.0008178364],"genre_scores_gemma":[0.9988743,0.0004589689,0.000105594,0.0000254127,0.00001193838,0.000003018853,0.000009224115,0.00001771762,0.0004938143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220888,"threshold_uncertainty_score":0.7737507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160777885","doi":"10.1109/tec.2006.889603","title":"Harnessing High-Altitude Wind Power","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Aerospace engineering; Wind power; Aerodynamics; Electricity generation; Electricity; Meteorology; Scale (ratio); Environmental science; Electrical engineering; Altitude (triangle); Power (physics); Computer science; Automotive engineering; Engineering; Physics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.005424903854753881,"gpt":0.1825278886904879,"spread":0.177102984835734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001306408,0.000221591,0.0001772706,0.0002086057,0.0001449604,0.00002701442,0.0001139616,0.0001788689,0.0001331503],"category_scores_gemma":[9.556383e-7,0.0002321544,0.00009339496,0.0002526371,0.00002973683,0.0001664598,7.282901e-7,0.0002044046,0.00008257864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685881,"about_ca_system_score_gemma":0.00001086142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001784115,"about_ca_topic_score_gemma":0.00004656362,"domain_scores_codex":[0.9990052,0.0000126163,0.0002054405,0.0002033315,0.0002150035,0.0003584154],"domain_scores_gemma":[0.9994903,0.00005401233,0.00002166793,0.0002531903,0.00002854988,0.0001522555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002175068,0.00003350215,0.000007327741,0.00002228415,0.00005792329,0.00002139973,0.0001238844,0.9734754,0.02057976,0.0002209572,0.0005103803,0.004925448],"study_design_scores_gemma":[0.00175927,0.0001823644,0.0006666824,0.0002496834,0.00006903821,0.00004675177,0.0003924107,0.08347723,0.8426288,0.00002028843,0.06937833,0.001129174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499178,0.00007976664,0.8432351,0.00002528922,0.003907388,0.00002781388,0.00000371841,0.0006797998,0.002123344],"genre_scores_gemma":[0.9975445,0.00005214691,0.0004694666,0.00005049402,0.0001002515,0.000003198155,0.000003936999,0.00006296629,0.001713084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8899981,"threshold_uncertainty_score":0.9466983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115081651","doi":"10.1109/tec.2006.874244","title":"Wind-Driven Self-Excited Induction Generator With Voltage and Frequency Regulated by a Reduced-Rating Voltage Source Inverter","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Induction generator; Voltage; Wind power; Control theory (sociology); Automatic frequency control; Engineering; Voltage regulation; Inverter; AC power; Electrical engineering; Computer science; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.003927632648935935,"gpt":0.1582951902939516,"spread":0.1543675576450156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005602387,0.000276697,0.0002259794,0.0003101665,0.0002471488,0.00005388266,0.00008322694,0.0002050054,0.00006784417],"category_scores_gemma":[7.232223e-7,0.0002642198,0.00007231739,0.0006528597,0.00004103569,0.000268591,8.384037e-7,0.0002443922,0.000006492107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661138,"about_ca_system_score_gemma":0.0000236054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008257667,"about_ca_topic_score_gemma":0.00008667283,"domain_scores_codex":[0.9988396,0.00004378735,0.0002495707,0.0003501014,0.000232428,0.0002844929],"domain_scores_gemma":[0.9995281,0.00002881711,0.00005956735,0.0002119819,0.00006159391,0.0001099518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002309973,0.0000847039,0.00008326705,0.00002680384,0.0001765606,0.000009241379,0.0001200956,0.06074708,0.9246923,0.00001524195,0.001619289,0.01240226],"study_design_scores_gemma":[0.0009121086,0.0001651497,0.00007918414,0.00004637877,0.0001523225,0.00002206924,0.00003149107,0.582918,0.4139554,0.00001735142,0.001277102,0.0004234819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.438798,0.0000717343,0.5603883,0.00002177749,0.0001073618,0.00006706378,0.000007487173,0.000401364,0.0001368692],"genre_scores_gemma":[0.9975176,0.00008437481,0.000795196,0.0000733351,0.00007835578,0.00001526619,0.00003812486,0.00005952299,0.001338181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5595931,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102796028","doi":"10.1109/tec.2005.853731","title":"Mechanical Fault Detection in a Medium-Sized Induction Motor Using Stator Current Monitoring","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Stator; Harmonics; Induction motor; Bearing (navigation); Permeance; Fault (geology); Electromagnetic coil; Control theory (sociology); Eccentricity (behavior); Fault detection and isolation; Engineering; Condition monitoring; Harmonic analysis; Voltage; Computer science; Electronic engineering; Mechanical engineering; Electrical engineering; Actuator","retraction":null,"screen_n_in":null,"score":{"opus":0.0166003421140946,"gpt":0.2726345890570371,"spread":0.2560342469429425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001456455,0.0002537119,0.0002218151,0.000543702,0.0001120332,0.00002600097,0.0001290081,0.0002142198,0.00007059291],"category_scores_gemma":[0.000006299756,0.0002845232,0.0001120502,0.000380205,0.00002086696,0.0004296543,0.00000206595,0.0004838471,0.00001465254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008816437,"about_ca_system_score_gemma":0.00003406439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003106195,"about_ca_topic_score_gemma":0.0002116615,"domain_scores_codex":[0.9986719,0.00007290228,0.0003571392,0.0002991823,0.0003009842,0.0002979206],"domain_scores_gemma":[0.9994953,0.00006782301,0.00004751427,0.0002249195,0.00004728368,0.000117203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009233507,0.0002105779,0.00001548414,0.00004282184,0.00003350194,0.000003490064,0.00009807448,0.1328256,0.4681942,0.000008706207,0.00003212259,0.3984431],"study_design_scores_gemma":[0.0005636221,0.00005916051,0.00008939055,0.00009514028,0.00002573047,0.000005511115,0.00002648381,0.261329,0.7358125,0.00001475963,0.001769601,0.0002091247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4789748,0.0000742512,0.5181112,0.00004111458,0.002025216,0.0001385684,0.000007842335,0.000603997,0.00002303755],"genre_scores_gemma":[0.9967154,0.0006330205,0.002219236,0.00001518924,0.0002449333,0.0001034192,0.000002597779,0.00005440247,0.00001183557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5177405,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162572743","doi":"10.1109/tec.2008.921555","title":"Dynamic Performance of Brushless DC Motors With Unbalanced Hall Sensors","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Hall effect sensor; DC motor; Harmonics; Torque ripple; Transient (computer programming); Brushed DC electric motor; Ripple; Computer science; Torque; Inverter; Control theory (sociology); Hall effect; Electrical engineering; Electronic engineering; Control engineering; Engineering; Electric motor; AC motor; Physics; Induction motor; Voltage; Direct torque control; Magnet; Control (management); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.005103291542831988,"gpt":0.1659842653704329,"spread":0.1608809738276009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003497907,0.0002410921,0.0002897152,0.0002950992,0.0001194498,0.000004539636,0.0001454095,0.0001228163,0.00006040672],"category_scores_gemma":[9.150281e-7,0.0002279001,0.0000948974,0.000381717,0.0000932598,0.0001592289,5.341768e-7,0.00019474,0.00001663299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525543,"about_ca_system_score_gemma":0.00003496438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203074,"about_ca_topic_score_gemma":0.00003767135,"domain_scores_codex":[0.9989336,0.00002585932,0.0002349329,0.0002239971,0.0002888441,0.0002927705],"domain_scores_gemma":[0.9994026,0.00007356079,0.0000557637,0.0002998148,0.00007154397,0.00009667175],"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":[0.000288987,0.00007046948,0.0001320094,0.0000541198,0.0001247787,0.00002296509,0.0001350727,0.957603,0.03720631,0.000009822866,0.00004161539,0.004310786],"study_design_scores_gemma":[0.001510894,0.0003465576,0.001108159,0.00006587131,0.00004511204,0.00005224106,0.00002899281,0.6145173,0.3817149,0.000001058863,0.0003048992,0.0003040082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902896,0.00004541065,0.09571407,0.00001917052,0.0003919111,0.00009303151,0.000007893231,0.0002515989,0.0005808806],"genre_scores_gemma":[0.9981651,0.0006802412,0.0003961614,0.00002766747,0.00001311805,0.00001492393,0.000003534411,0.00005358682,0.0006457173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3445086,"threshold_uncertainty_score":0.9293498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2335709956","doi":"10.1109/tec.2016.2526618","title":"Assessment and Enhancement of a Full-Scale PMSG-Based Wind Power Generator Performance Under Faults","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Low voltage ride through; Permanent magnet synchronous generator; Wind power; Control theory (sociology); Turbine; Induction generator; Generator (circuit theory); Engineering; Computer science; Voltage; AC power; Control engineering; Power (physics); Electrical engineering; Control (management); Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005939061484017212,"gpt":0.1952439274738894,"spread":0.1893048659898721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008150393,0.0001790514,0.000206643,0.0001396222,0.00006867143,0.000007642881,0.00007937296,0.00009671365,0.000205739],"category_scores_gemma":[3.288574e-7,0.0001388371,0.00006778663,0.0001038994,0.00004166085,0.0001393603,0.000001025232,0.00007168898,0.0000136354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833288,"about_ca_system_score_gemma":0.00004055362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002092218,"about_ca_topic_score_gemma":0.00001835563,"domain_scores_codex":[0.9990871,0.00003192657,0.0002467583,0.0002077773,0.0002287321,0.0001977148],"domain_scores_gemma":[0.9995138,0.00005497235,0.00004625837,0.0002396714,0.0000535771,0.00009172676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000839303,0.0001047218,0.0001174187,0.0000656428,0.00009296839,0.000001510971,0.00004244054,0.08727728,0.9057423,0.00002588093,0.0001348176,0.006311084],"study_design_scores_gemma":[0.003056293,0.0004561633,0.001726283,0.0002070609,0.00004725867,0.000004811535,0.00003698381,0.07981412,0.9123934,0.000003183622,0.001952835,0.0003016139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5378944,0.0000368625,0.4610738,0.00007180759,0.000548464,0.00006617898,0.00001168139,0.0000550199,0.0002418061],"genre_scores_gemma":[0.9991363,0.00007635671,0.0002969409,0.00005802615,0.00002940894,0.00002238671,0.000001683081,0.00002718099,0.0003517322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4612419,"threshold_uncertainty_score":0.5661613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002047367","doi":"10.1109/tec.2013.2267171","title":"Integrating Hybrid Power Source Into an Islanded MV Microgrid Using CHB Multilevel Inverter Under Unbalanced and Nonlinear Load Conditions","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Microgrid; Controller (irrigation); Engineering; Control theory (sociology); Voltage; Power (physics); Inverter; Voltage source; Electronic engineering; Computer science; Electrical engineering; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.005869019772279452,"gpt":0.1943582214826196,"spread":0.1884892017103402,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000510245,0.0002642207,0.0002152987,0.0001748558,0.0002546674,0.0000836555,0.0001012743,0.000128504,0.0003598956],"category_scores_gemma":[0.000002030622,0.0002600825,0.00007909384,0.0001292769,0.00007246105,0.000525432,0.000002498519,0.0002193457,0.00003189873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688345,"about_ca_system_score_gemma":0.00003488308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008123426,"about_ca_topic_score_gemma":0.0001330876,"domain_scores_codex":[0.9989856,0.00004429316,0.0002566165,0.0002967429,0.0001496881,0.0002670338],"domain_scores_gemma":[0.9994084,0.00004624179,0.0000465316,0.0002175401,0.0001325792,0.0001486733],"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":[0.0000372277,0.0001153931,0.0000152393,0.00002902404,0.0001166696,0.000002966144,0.0006180918,0.6794899,0.2818488,0.00001408922,0.0002501749,0.03746239],"study_design_scores_gemma":[0.001139976,0.00006430744,0.00004524159,0.00004968792,0.00004285889,0.00001986317,0.0002898712,0.9231865,0.07424042,0.00005126904,0.0005758496,0.0002940981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3048401,0.0001144012,0.694177,0.00004789927,0.0004155434,0.0001198379,0.00002264098,0.0002167354,0.00004581858],"genre_scores_gemma":[0.9942037,0.000224119,0.004903644,0.0003831693,0.00005259059,0.00002472072,0.00004633434,0.00005249894,0.0001092511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6893635,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119764758","doi":"10.1109/tec.2010.2087337","title":"Validation of Single- and Multiple-Machine Equivalents for Modeling Wind Power Plants","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec","funders":"","keywords":"Crowbar; Transient (computer programming); Wind power; Turbine; Control theory (sociology); Renewable energy; Electric power system; Computer science; Generator (circuit theory); Voltage; Engineering; Power (physics); Automotive engineering; Electrical engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01415328682815521,"gpt":0.2126365918125063,"spread":0.1984833049843511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007450605,0.0001187603,0.000147479,0.0001353929,0.00007205352,0.00001655966,0.00005276761,0.0001100142,0.00003919969],"category_scores_gemma":[0.000003212013,0.0001198775,0.0000655107,0.0000505789,0.00001512763,0.0001667851,5.565139e-7,0.00008205998,0.000002771585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002018249,"about_ca_system_score_gemma":0.000006121884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006670431,"about_ca_topic_score_gemma":0.0000177644,"domain_scores_codex":[0.9993907,0.00001450671,0.0002118105,0.0001376259,0.0001229677,0.0001223631],"domain_scores_gemma":[0.9996244,0.00009651373,0.00003614745,0.0001332081,0.00004736923,0.00006240218],"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":[0.00007368177,0.00003312026,0.00001276466,0.0000227946,0.00002880639,1.813225e-7,0.00006801281,0.646539,0.3500029,0.0000126255,0.000006365296,0.003199748],"study_design_scores_gemma":[0.001184328,0.00005338338,0.0000074469,0.00002183466,0.00001604538,0.000001945851,0.00002756797,0.7620749,0.2362612,0.00001325766,0.0002459915,0.00009199227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5026743,0.0000139513,0.4963035,0.000008914339,0.0006527087,0.00008690896,0.00002834899,0.00006124382,0.0001701471],"genre_scores_gemma":[0.9996252,0.00001812471,0.0001863965,0.00001185857,0.00002382912,0.000005202972,0.00001579878,0.00002374876,0.00008985579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4969509,"threshold_uncertainty_score":0.4888465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115379158","doi":"10.1109/tec.2007.914170","title":"PEM Fuel Cells Modeling and Analysis Through Current and Voltage Transient Behaviors","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Transient (computer programming); Cathode; Voltage; Current (fluid); Diffusion; Capacitance; Electrolyte; Proton exchange membrane fuel cell; Mechanics; Electrical engineering; Steady state (chemistry); Materials science; Nuclear engineering; Chemistry; Computer science; Engineering; Fuel cells; Physics; Thermodynamics; Electrode; Chemical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01254090089504234,"gpt":0.2005077344876628,"spread":0.1879668335926205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003445201,0.0001831951,0.0002243834,0.0001760645,0.0001612643,0.00001731572,0.00004584767,0.000124169,0.00008855549],"category_scores_gemma":[1.224967e-7,0.0001731515,0.0001040806,0.000218394,0.00005055243,0.0001397327,9.422742e-7,0.0001391792,0.000005311357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003455834,"about_ca_system_score_gemma":0.000007284817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000157168,"about_ca_topic_score_gemma":0.00001307128,"domain_scores_codex":[0.9992414,0.0000169159,0.0001963853,0.0002327851,0.0001318826,0.0001806711],"domain_scores_gemma":[0.9997173,0.00001699742,0.0000177634,0.0001339836,0.00002173859,0.00009219712],"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":[0.00002366336,0.00006694237,0.000004104961,0.0001449175,0.0001613393,0.0000137323,0.0008394524,0.9616727,0.03583244,0.00000456924,0.00004130012,0.001194879],"study_design_scores_gemma":[0.0008110213,0.00007386185,0.00001981998,0.00004116378,0.0008092506,0.00001556543,0.0001069925,0.8517483,0.1432204,0.00001945319,0.002750122,0.0003840424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.544277,0.001985608,0.4523174,0.000009868496,0.000943753,0.00005611729,0.00002994807,0.0001409499,0.0002393621],"genre_scores_gemma":[0.9600725,0.03959366,0.0001687531,0.00001254883,0.00001569852,0.000007084265,0.00000821116,0.00002316409,0.00009837438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521487,"threshold_uncertainty_score":0.7060915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145369450","doi":"10.1109/tec.2006.878242","title":"Control Methodology to Mitigate the Grid Impact of Wind Turbines","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Control theory (sociology); Wind power; Turbine; Controller (irrigation); Power optimizer; Grid; Computer science; Capacitor; Power control; Engineering; Maximum power point tracking; Power (physics); Voltage; Electrical engineering; Physics; Mathematics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.01528240997279526,"gpt":0.2442840992799835,"spread":0.2290016893071882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004846806,0.0002191041,0.0003325157,0.0002649466,0.00008689289,0.00001046679,0.0002129779,0.0001416559,0.0001930005],"category_scores_gemma":[0.000009759365,0.0001568068,0.000283328,0.0003276003,0.00005096356,0.00008663739,9.464537e-7,0.0001811122,0.00005837237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386169,"about_ca_system_score_gemma":0.00002486926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007695243,"about_ca_topic_score_gemma":0.0001195327,"domain_scores_codex":[0.9988163,0.0001300412,0.0003421828,0.000184982,0.000191039,0.0003354563],"domain_scores_gemma":[0.9987625,0.000611001,0.00005303203,0.0003444593,0.00008395642,0.0001450369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003644435,0.00003735584,0.00004066297,0.00001980963,0.0003352147,0.00000886936,0.0001721438,0.8541746,0.1349765,0.00004603268,0.000991445,0.008832898],"study_design_scores_gemma":[0.006131961,0.001529681,0.006389051,0.0001375879,0.0003661621,0.0001009149,0.0001978642,0.09749457,0.8659418,0.000066819,0.02075918,0.0008844016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2309953,0.00009253522,0.765714,0.000154633,0.001967658,0.0001997737,0.00004344989,0.0001541771,0.0006784354],"genre_scores_gemma":[0.9991613,0.000009411963,0.0001486935,0.0001094283,0.000193461,0.00001026859,0.000002116876,0.00003643581,0.0003288673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.768166,"threshold_uncertainty_score":0.6394395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132575154","doi":"10.1109/tec.2005.858092","title":"Power Quality Control of Wind-Hybrid Power Generation System Using Fuzzy-LQR Controller","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Linear-quadratic regulator; Controller (irrigation); Fuzzy logic; Fuzzy control system; Control engineering; Electric power system; Engineering; Automatic Generation Control; Wind power; Power (physics); Computer science; Optimal control; Mathematics; Control (management); Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.01404688129731979,"gpt":0.2242946275862021,"spread":0.2102477462888823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008482399,0.0003874854,0.0006492025,0.0004215291,0.0001738108,0.00003280538,0.0002175861,0.0002628579,0.0001188009],"category_scores_gemma":[0.00000760755,0.0004013249,0.0003247152,0.000284333,0.00008282997,0.0003182546,0.000001108254,0.0002572724,0.00003000241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006134372,"about_ca_system_score_gemma":0.00005121839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004218605,"about_ca_topic_score_gemma":0.00004107692,"domain_scores_codex":[0.9973594,0.0001981404,0.001008013,0.0003886187,0.0005561655,0.0004896644],"domain_scores_gemma":[0.9985832,0.0002559632,0.0002090376,0.0005040527,0.0002635493,0.0001841921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003627667,0.000122267,0.00003144749,0.0001037513,0.0004566269,0.00002865278,0.0002142888,0.4616709,0.5337903,0.002158293,0.0002642208,0.0007963977],"study_design_scores_gemma":[0.007895,0.0003071979,0.000112192,0.000245499,0.0002140126,0.00007261579,0.0004731716,0.3941819,0.5920836,0.00001511,0.003502128,0.0008975754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1365224,0.0003343678,0.8527503,0.00001595792,0.00626806,0.0002846588,0.00007649534,0.0003547577,0.003393026],"genre_scores_gemma":[0.9992901,0.00001332779,0.0002067156,0.00009232366,0.0001336781,0.00001186718,0.000005890519,0.00007878013,0.0001673097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8627677,"threshold_uncertainty_score":0.9998438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119550060","doi":"10.1109/tec.2009.2034366","title":"Output Power Control for Variable-Speed Variable-Pitch Wind Generation Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Aalborg Universitet; National Natural Science Foundation of China","keywords":"Control theory (sociology); Wind power; Controller (irrigation); Wind speed; Variable speed wind turbine; Pitch control; Turbine; Computer science; Robust control; Electronic speed control; Range (aeronautics); Electric power system; Induction generator; Blade pitch; Generator (circuit theory); Power (physics); Control engineering; Control system; Engineering; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.00852259172089749,"gpt":0.1841689742117026,"spread":0.1756463824908051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000320484,0.000368234,0.0004240572,0.0002720654,0.0002648281,0.0001189275,0.0002261173,0.0004430858,0.0001762907],"category_scores_gemma":[0.00000988134,0.0003744719,0.0001606063,0.0002594638,0.00003167613,0.0003277863,9.043424e-7,0.0003658798,0.00005547646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530523,"about_ca_system_score_gemma":0.00007171114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002597985,"about_ca_topic_score_gemma":0.0000265599,"domain_scores_codex":[0.9982764,0.00006708423,0.0004750949,0.0004098157,0.0003097246,0.0004619425],"domain_scores_gemma":[0.9987625,0.0002152705,0.00008428856,0.0005154067,0.0002248316,0.0001977269],"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":[0.00008417467,0.00006477667,0.000003402609,0.00005353193,0.0001868682,0.000002123781,0.00005080503,0.6846888,0.3101636,0.001576181,0.002701564,0.0004241973],"study_design_scores_gemma":[0.00383803,0.0001478155,0.000007362044,0.00003903647,0.000140956,0.00002247362,0.00003673352,0.8957008,0.02922384,0.00002334878,0.07037676,0.0004428855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0150085,0.0000742712,0.9650969,0.0000755394,0.01679426,0.0005876473,0.0001657352,0.0005149555,0.001682171],"genre_scores_gemma":[0.9960811,0.000009649757,0.0006003397,0.0001321517,0.0007029125,0.00006425594,0.00003790537,0.0001037737,0.002267924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810726,"threshold_uncertainty_score":0.9998707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126328815","doi":"10.1109/tec.2004.827715","title":"Nonlinear Model Identification of Wind Turbine With a Neural Network","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Anemometer; Wind speed; Turbine; Wind power; Control theory (sociology); Artificial neural network; Nonlinear system; Standard deviation; Computer science; Engineering; Meteorology; Mathematics; Statistics; Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.008752681741895476,"gpt":0.1883376288345676,"spread":0.1795849470926721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004553865,0.0001446975,0.0001352163,0.00009725335,0.00008786495,0.00001047569,0.00008897821,0.00007964198,0.0000158884],"category_scores_gemma":[4.471822e-7,0.0001351403,0.00006490414,0.0002588025,0.00003795221,0.0001590113,5.901229e-7,0.0001271939,0.000004542806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005551692,"about_ca_system_score_gemma":0.00002233936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005658888,"about_ca_topic_score_gemma":0.00004892497,"domain_scores_codex":[0.9992879,0.000009222862,0.0002143915,0.0001500899,0.0001573034,0.0001810724],"domain_scores_gemma":[0.9996511,0.00001875071,0.00004458522,0.0001833621,0.00004189589,0.00006031607],"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":[0.00004890058,0.00004158335,0.000002601019,0.00001968938,0.00003215406,0.000002548602,0.00008735302,0.9840022,0.01361586,0.0001046366,0.00001644987,0.002026045],"study_design_scores_gemma":[0.0005555251,0.0000808785,0.000006831644,0.00005784208,0.00003017722,0.000006815802,0.00001295559,0.7399333,0.2590146,0.00004510616,0.0001313099,0.0001246684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3239432,0.00003616107,0.6750835,0.00002605341,0.0003957507,0.00003192975,0.00001081295,0.0001382452,0.0003344491],"genre_scores_gemma":[0.997727,0.00006292314,0.001869226,0.00003697179,0.00005504195,0.000004236029,0.00001216424,0.00003246213,0.0001999952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6737838,"threshold_uncertainty_score":0.5510863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767549976","doi":"10.1109/tec.2017.2771401","title":"A Method to Directly Compute Synchronverter Parameters for Desired Dynamic Response","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Control theory (sociology); Computation; Computer science; Controller (irrigation); Transient (computer programming); Transient response; Mode (computer interface); Power (physics); Step response; Control engineering; Algorithm; Engineering; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01102278630971622,"gpt":0.2380606270106299,"spread":0.2270378407009136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001895369,0.0001908331,0.0002062893,0.0001859681,0.0003900777,0.00008754853,0.0002326698,0.0001126966,0.00002853666],"category_scores_gemma":[0.000004773524,0.0001997258,0.0001513535,0.00006890306,0.00002487834,0.0001814132,0.000001721009,0.00008090663,0.0000249559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016157,"about_ca_system_score_gemma":0.00002002106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006749458,"about_ca_topic_score_gemma":0.00004173984,"domain_scores_codex":[0.9991429,0.00006950826,0.0001693625,0.0002614286,0.0001065539,0.0002502193],"domain_scores_gemma":[0.9991748,0.0001982125,0.00004090763,0.0004082461,0.00005325747,0.0001245386],"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":[0.0009133754,0.0000285423,4.226458e-7,0.000018779,0.00008600657,0.000003154581,0.00007668683,0.7148391,0.02981106,0.000005878055,0.000393369,0.2538236],"study_design_scores_gemma":[0.001111989,0.0001521394,0.00005722279,0.00003589523,0.0000573703,0.000003827387,0.000009832875,0.8711889,0.1202297,0.00001711738,0.006913198,0.0002228156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01018511,0.00003330085,0.9879419,0.0003272669,0.0009744545,0.0002142417,0.00003653281,0.0002428767,0.00004432556],"genre_scores_gemma":[0.9217463,0.0000717452,0.07731573,0.000248026,0.00001933941,0.00009054036,0.000006721169,0.00004596344,0.0004556512],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9115612,"threshold_uncertainty_score":0.814458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2795198686","doi":"10.1109/tec.2018.2819982","title":"A Power Mismatch Elimination Strategy for an MMC-Based Photovoltaic System","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Photovoltaic system; Maximum power point tracking; Modular design; Power (physics); Grid-connected photovoltaic power system; Computer science; AC power; Voltage; Grid; Control theory (sociology); Maximum power principle; Electronic engineering; Engineering; Electrical engineering; Inverter; Physics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01524507638144604,"gpt":0.2267604964609971,"spread":0.2115154200795511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001338572,0.0001876344,0.0001585715,0.0002112604,0.0002493679,0.00004015283,0.00009265784,0.0001983258,0.0000725398],"category_scores_gemma":[9.081572e-7,0.0001936077,0.0001022185,0.0002042073,0.00003110758,0.0002392379,2.621203e-7,0.00009070855,0.0000476195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237374,"about_ca_system_score_gemma":0.00002835915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002957348,"about_ca_topic_score_gemma":0.0001274192,"domain_scores_codex":[0.9990796,0.00004147485,0.0002293051,0.0002514757,0.0001701647,0.0002279417],"domain_scores_gemma":[0.9994202,0.00003388821,0.00004180234,0.0002524553,0.0001509214,0.0001007539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005236298,0.0002681137,0.000002455505,0.0005368986,0.0001392335,0.000004865436,0.0005060185,0.3869922,0.5751268,0.0003856093,0.001542183,0.03397193],"study_design_scores_gemma":[0.0007014387,0.0006379281,0.00001007378,0.00006534615,0.0000212704,0.000005389522,0.0002829605,0.5427846,0.4495275,0.000005650374,0.005783504,0.0001743442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07096898,0.0000146318,0.9252909,0.00001002309,0.001777468,0.000286076,0.00002771445,0.0005970756,0.001027148],"genre_scores_gemma":[0.9989786,0.000005009174,0.0003984031,0.00003643095,0.0001205057,0.0001804893,0.00001479904,0.00004998131,0.0002157894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9280096,"threshold_uncertainty_score":0.7895095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165683298","doi":"10.1109/tec.2006.882417","title":"Real-Time Implementation of Wavelet Packet Transform-Based Diagnosis and Protection of Three-Phase Induction Motors","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Induction motor; Wavelet packet decomposition; Wavelet transform; Wavelet; Fault detection and isolation; Computer science; Fault (geology); Control theory (sociology); Engineering; Algorithm; Artificial intelligence; Voltage; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01236328804206587,"gpt":0.2730119941789675,"spread":0.2606487061369017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002383884,0.0001880001,0.0002245015,0.0004956449,0.00006804221,0.000006251343,0.0000640847,0.0001595393,0.0001773778],"category_scores_gemma":[0.000001917038,0.0002013755,0.00009878492,0.000329668,0.00005786251,0.0002130605,6.047821e-7,0.0001270077,0.000001259935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235967,"about_ca_system_score_gemma":0.00001944797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853413,"about_ca_topic_score_gemma":0.0004229877,"domain_scores_codex":[0.9989631,0.00003249372,0.0004078795,0.0001896159,0.0002282675,0.000178633],"domain_scores_gemma":[0.9995011,0.00008450372,0.00009542993,0.0001742596,0.00007296517,0.00007170397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002570284,0.0004269472,0.0002056801,0.0002773016,0.0001019234,0.000002305985,0.0002319405,0.005774086,0.4183208,0.00004594684,0.0001386921,0.5742173],"study_design_scores_gemma":[0.001284511,0.0006696255,0.0009077503,0.00007018125,0.00006861038,0.00000194709,0.0000618905,0.02571948,0.9707944,0.00005106236,0.0002048169,0.000165727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5340874,0.000007235482,0.465162,0.0000386243,0.0001196857,0.0002790416,0.00004140986,0.0001787994,0.0000857663],"genre_scores_gemma":[0.9979953,0.0003412563,0.001452306,0.000009084834,0.00001775156,0.0001230886,0.00002083299,0.00003443084,0.000005988954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5740516,"threshold_uncertainty_score":0.8211856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810282536","doi":"10.1109/tec.2018.2852219","title":"Maximum Efficiency Control of PMSM Drives Considering System Losses Using Gradient Descent Algorithm Based on DC Power Measurement","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Gradient descent; Control theory (sociology); Power (physics); Power control; Computer science; Control system; Control (management); Control engineering; Algorithm; Engineering; Physics; Electrical engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01258966624370516,"gpt":0.1890789624998996,"spread":0.1764892962561944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934521,0.0002407186,0.0003048523,0.0004262945,0.0001895377,0.00001921315,0.0001150338,0.00009713671,0.00007478466],"category_scores_gemma":[0.000003033561,0.0002324099,0.0001975191,0.0003824201,0.00008047658,0.00006514908,6.545083e-7,0.0001183968,0.00001016769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004929644,"about_ca_system_score_gemma":0.00005369015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001048275,"about_ca_topic_score_gemma":0.0000106171,"domain_scores_codex":[0.9985014,0.00008065443,0.0003275297,0.0002718196,0.0005161011,0.0003025142],"domain_scores_gemma":[0.9992734,0.00006751608,0.00007213523,0.0002799925,0.0001901285,0.0001168293],"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":[0.0000919095,0.0003530549,0.00001587195,0.0001404519,0.0003329522,0.00002592259,0.0001485059,0.7823423,0.1877284,0.00005090825,0.00004483049,0.02872483],"study_design_scores_gemma":[0.0007162745,0.0002403773,0.000005800662,0.0001875889,0.0001090283,0.000004103335,0.00003792916,0.6455001,0.3529243,0.000001735758,0.0001209333,0.0001518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0273154,0.00008786658,0.9712846,0.00001433914,0.0007671601,0.0001180814,0.00001115486,0.0001811527,0.0002202915],"genre_scores_gemma":[0.9982277,0.00002170306,0.001612749,0.00004723659,0.00003420524,0.000009607631,8.702737e-7,0.00003244327,0.00001354196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9709122,"threshold_uncertainty_score":0.94774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211701738","doi":"10.1109/tec.2021.3116234","title":"Optimal Sizing and Scheduling of Mobile Energy Storage Toward High Penetration Levels of Renewable Energy and Fast Charging Stations","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada; University of Windsor","funders":"King Abdulaziz University","keywords":"Sizing; Photovoltaic system; Renewable energy; Energy storage; Automotive engineering; Operating cost; Scheduling (production processes); Computer science; Electric power system; Wind power; Reliability engineering; Simulation; Engineering; Mathematical optimization; Electrical engineering; Power (physics); Mathematics; Waste management","retraction":null,"screen_n_in":null,"score":{"opus":0.00770137621558218,"gpt":0.1854276660645149,"spread":0.1777262898489327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006312614,0.0001645685,0.0002475513,0.0002075473,0.0001159635,0.0000257486,0.0000501582,0.0001125293,0.00009896307],"category_scores_gemma":[0.000002502076,0.0001916316,0.00005646616,0.0002508251,0.00004538842,0.0002713124,0.000003089114,0.00006403962,1.791473e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000476592,"about_ca_system_score_gemma":0.00004722411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621588,"about_ca_topic_score_gemma":0.0002229138,"domain_scores_codex":[0.9991071,0.00004565766,0.0003053517,0.0002291335,0.0001485651,0.0001642386],"domain_scores_gemma":[0.9994939,0.00007893339,0.00007898198,0.0001419271,0.0001337187,0.0000725422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002095408,0.00003232468,0.000002880422,0.00005462179,0.00005417083,0.00000227955,0.0002189266,0.8004188,0.1822236,0.0001700896,0.000006102749,0.01679522],"study_design_scores_gemma":[0.0005471266,0.00006125028,0.00001998877,0.00005680823,0.00004552961,0.000005621737,0.0003142811,0.4988452,0.4996584,0.00001735258,0.0003038296,0.0001246271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1020704,0.001364716,0.8960593,0.00002148675,0.0002552817,0.00003019903,0.00005738555,0.00005985811,0.00008134696],"genre_scores_gemma":[0.9896401,0.003567864,0.006489608,0.00002486773,0.00002703917,0.0000167944,0.00003247171,0.00002767328,0.0001735838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8895698,"threshold_uncertainty_score":0.7814509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114807490","doi":"10.1109/tec.2020.3047983","title":"A Review of Predictive Control Techniques for Switched Reluctance Machine Drives. Part I: Fundamentals and Current Control","year":2020,"lang":"en","type":"review","venue":"IEEE Transactions on Energy Conversion","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Agencia Nacional de Investigación y Desarrollo; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Switched reluctance motor; Model predictive control; Control engineering; Control (management); Computer science; Current (fluid); Machine control; Control theory (sociology); Engineering; Artificial intelligence; Rotor (electric); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01852979397035864,"gpt":0.2578629355756809,"spread":0.2393331416053223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001259118,0.0005676508,0.001874171,0.000177189,0.00007959483,0.00001448898,0.0002170944,0.0002044694,0.00007199797],"category_scores_gemma":[0.000005344022,0.0005052856,0.0006399829,0.000184147,0.00009083228,0.0001163973,0.000002025951,0.0003556989,0.000004284792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001989265,"about_ca_system_score_gemma":0.00007686379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145063,"about_ca_topic_score_gemma":0.000002611696,"domain_scores_codex":[0.9981904,0.000104266,0.0007715867,0.0004675904,0.000199957,0.0002662126],"domain_scores_gemma":[0.9989364,0.0002335184,0.0002650672,0.00030985,0.00008100485,0.000174126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005950266,0.00004680911,1.037106e-7,0.05471754,0.0004872035,0.000002216424,0.00001845809,0.00003499876,0.00001769835,0.000009794768,0.001961723,0.9426439],"study_design_scores_gemma":[0.001074264,0.0002077312,6.183505e-8,0.05840728,0.001672345,0.000009510937,0.000005672346,0.05000629,0.0004145855,0.000005274957,0.8877935,0.0004034287],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.431536e-8,0.5393667,0.4582786,0.00002922586,0.0005086479,0.0008121243,0.0008589783,0.0001254362,0.00002021187],"genre_scores_gemma":[0.001892689,0.9963937,0.000130959,0.0004041341,0.00006785014,0.0009211791,0.00007042912,0.00008941918,0.0000296631],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9422405,"threshold_uncertainty_score":0.9997399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160140118","doi":"10.1109/tec.2011.2180171","title":"Filtering of Hall-Sensor Signals for Improved Operation of Brushless DC Motors","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Hall effect sensor; DC motor; Brushed DC electric motor; Inverter; Computer science; Electrical engineering; Electric motor; Work (physics); Control theory (sociology); Control engineering; Electronic engineering; Engineering; AC motor; Voltage; Magnet; Control (management); Mechanical engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01226452410849403,"gpt":0.2086060493266878,"spread":0.1963415252181938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101111,0.0001729705,0.0002829689,0.0002450112,0.00005511661,0.000006349796,0.0001055519,0.0001302867,0.00008194643],"category_scores_gemma":[0.000005081403,0.0001819242,0.000163498,0.0001464783,0.00002807295,0.0002212649,6.947243e-7,0.0000813661,0.000002594229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008023836,"about_ca_system_score_gemma":0.00001570529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001239414,"about_ca_topic_score_gemma":0.00001143716,"domain_scores_codex":[0.9991027,0.00002898357,0.0003368952,0.0001359117,0.0001301139,0.0002654604],"domain_scores_gemma":[0.9993701,0.0001789827,0.00007567141,0.0002022608,0.00008646913,0.00008651545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001064773,0.00007154328,0.000005357553,0.00007427739,0.00009259395,1.30796e-7,0.0001028703,0.1938641,0.7966607,0.00004825987,0.00004551675,0.008928211],"study_design_scores_gemma":[0.0007760704,0.0001238721,0.00003182333,0.00002761238,0.00005265973,0.000001292251,0.00003593164,0.2061274,0.7922072,0.000003701662,0.0004801232,0.0001323286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.213739,0.0000928939,0.7848462,0.00002344337,0.0008409702,0.0002019211,0.00003505404,0.00008836649,0.0001322008],"genre_scores_gemma":[0.9979712,0.00008230381,0.001585023,0.00002235613,0.000065319,0.00004017175,0.000006243714,0.0000422959,0.0001850637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7842323,"threshold_uncertainty_score":0.7418653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108970559","doi":"10.1109/tec.2005.847970","title":"On the Application of the Complex Torque Coefficients Method to the Analysis of Torsional Dynamics","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Torque; Control theory (sociology); Damping torque; Benchmark (surveying); Eigenvalues and eigenvectors; Stability (learning theory); Computer science; Time domain; Electric power system; Point (geometry); Frequency domain; Generator (circuit theory); Instability; Engineering; Power (physics); Control engineering; Direct torque control; Mathematics; Physics; Mechanics; Voltage; Induction motor; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.009223880563625548,"gpt":0.2303555766995627,"spread":0.2211316961359371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533629,0.00009507322,0.0001495337,0.0001202987,0.0001368994,0.000006113601,0.0002599121,0.00005211482,0.0001652309],"category_scores_gemma":[0.000004301509,0.00005386467,0.0001759638,0.0008802183,0.00003859692,0.00002754582,0.000002304955,0.00008198363,0.000005464944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516875,"about_ca_system_score_gemma":0.00001322968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001224842,"about_ca_topic_score_gemma":0.0004629788,"domain_scores_codex":[0.9991406,0.0001416713,0.000236322,0.0001275897,0.0002655503,0.00008826044],"domain_scores_gemma":[0.9991197,0.000266273,0.00005755075,0.0004428012,0.00008109763,0.00003259369],"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":[0.00002012751,0.00006519081,0.00001074595,0.000005074558,0.0001165598,9.937985e-9,0.0001622976,0.9919299,0.001005266,0.001815789,0.0001895647,0.004679506],"study_design_scores_gemma":[0.0001027336,0.00001628474,0.0004825401,0.000006859429,0.0001123664,2.006003e-7,0.0000901573,0.9750386,0.01909126,0.000005249894,0.004999127,0.0000545711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0148658,0.000004091468,0.9834247,0.0007022953,0.0002280865,0.0001487969,0.00009273525,0.00002986504,0.0005036185],"genre_scores_gemma":[0.9989355,0.000004022791,0.0006791854,0.0002194262,0.000005901801,0.00001980246,0.00000935307,0.000008360216,0.0001185167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9840696,"threshold_uncertainty_score":0.2196538,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2281717401","doi":"10.1109/tec.2015.2470079","title":"Acoustic Noise Analysis of a High-Speed High-Power Switched Reluctance Machine: Frame Effects","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Vibration; Switched reluctance motor; Frame (networking); Noise (video); Sound power; Acoustics; Power (physics); Sound pressure; Stiffness; Engineering; Computer science; Structural engineering; Electrical engineering; Mechanical engineering; Physics; Sound (geography)","retraction":null,"screen_n_in":null,"score":{"opus":0.005750946828906027,"gpt":0.1901621275476938,"spread":0.1844111807187878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001159126,0.0002552715,0.0005301883,0.0008463054,0.00006237879,0.00001542668,0.0001826162,0.0001867006,0.0001746119],"category_scores_gemma":[0.000008772969,0.0002494983,0.0002941962,0.002093559,0.00003621629,0.000126663,0.000001169255,0.000221287,0.00002564556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000191268,"about_ca_system_score_gemma":0.00003052221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008650723,"about_ca_topic_score_gemma":0.00009991259,"domain_scores_codex":[0.9986871,0.00007070698,0.0003006131,0.0002930321,0.0003834921,0.0002649979],"domain_scores_gemma":[0.99903,0.0001705379,0.00007181248,0.0004188248,0.000111177,0.0001976402],"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":[0.000107253,0.0001279147,0.00001906099,0.00003718416,0.00163877,0.0000165182,0.0001221125,0.88559,0.1084115,0.00005433115,0.0002865072,0.003588913],"study_design_scores_gemma":[0.001171228,0.0002044539,0.0001874262,0.00003263419,0.002368276,0.000001495214,0.00001555025,0.7549494,0.2405543,0.00005608298,0.0001390112,0.000320143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2515448,0.0001601467,0.747377,0.0000286945,0.0004880912,0.00005762889,0.00001651558,0.0002033397,0.0001237542],"genre_scores_gemma":[0.9983749,0.000181907,0.0007874892,0.00007199978,0.00002095462,0.00001124602,0.00001933212,0.00003845628,0.0004936523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7468302,"threshold_uncertainty_score":0.9999957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2336540260","doi":"10.1109/tec.2016.2553700","title":"Thermal Management of a Hybrid Electric Vehicle in Cold Weather","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydrogenics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Battery pack; Energy management; Computer science; Work (physics); Process (computing); Grid; Automotive battery; Power (physics); Environmental science; Energy (signal processing); Electrical engineering; Engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007896163053823166,"gpt":0.2078713749821389,"spread":0.1999752119283157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003909341,0.00009606664,0.00009990083,0.0002688694,0.00002264123,0.000002574748,0.0001542853,0.00004307256,0.0001454103],"category_scores_gemma":[4.326208e-7,0.00007760273,0.00004140348,0.0002923178,0.00003159211,0.0001011029,0.000001923587,0.00009244349,0.00003141996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685474,"about_ca_system_score_gemma":0.000005006741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001310752,"about_ca_topic_score_gemma":0.000004048307,"domain_scores_codex":[0.9993565,0.00001539096,0.000125773,0.0001379642,0.0001466073,0.0002177277],"domain_scores_gemma":[0.9996803,0.00004475665,0.00001336209,0.0002215724,0.00001432892,0.00002563991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006159642,0.00007907947,0.00002095721,0.00003404035,0.00004718903,0.00003514877,0.000007628743,0.07399221,0.7454103,0.0001570408,0.00006623978,0.1800886],"study_design_scores_gemma":[0.0006886754,0.00007092737,0.00007036262,0.00006324526,0.000005235157,9.45986e-7,0.0000173832,0.01399996,0.9838871,0.00003834314,0.0010612,0.00009657686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5767437,0.00004010843,0.4219089,0.00007750004,0.0001137057,0.0000710376,0.000004722046,0.0001930039,0.0008473052],"genre_scores_gemma":[0.9984342,0.0006119426,0.000166864,0.00001270185,0.000003469608,0.00003300772,2.025118e-7,0.00002182925,0.0007157641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4217421,"threshold_uncertainty_score":0.3164548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2342415883","doi":"10.1109/tec.2016.2533630","title":"Power Synchronization Control for Grid-Connected Current-Source Inverter-Based Photovoltaic Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Photovoltaic system; Grid-connected photovoltaic power system; Maximum power point tracking; Computer science; Synchronization (alternating current); Overcurrent; Controller (irrigation); Inverter; Synchronizing; Control theory (sociology); Electronic engineering; Engineering; Electrical engineering; Topology (electrical circuits); Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.004937504282134084,"gpt":0.1753619368441282,"spread":0.1704244325619941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007709245,0.0002556458,0.0002416643,0.0002501649,0.0001562767,0.00003909584,0.0001223737,0.0001553321,0.0001692027],"category_scores_gemma":[0.000005801427,0.0002097916,0.0001515542,0.0002067545,0.00003476624,0.0002142149,4.709832e-7,0.00008118941,0.00003606064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366375,"about_ca_system_score_gemma":0.0000407953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003134378,"about_ca_topic_score_gemma":0.00001163614,"domain_scores_codex":[0.9989076,0.00005436811,0.0002863648,0.000281681,0.0001672389,0.0003027485],"domain_scores_gemma":[0.9992247,0.0001970372,0.00006335478,0.0002438285,0.0001575927,0.000113526],"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":[0.0002170438,0.00008678404,0.00001217785,0.00008377081,0.00009171493,8.126959e-7,0.00002500106,0.9015357,0.04540736,0.0000215027,0.001578811,0.05093933],"study_design_scores_gemma":[0.0044898,0.0001336151,0.000004561785,0.0001462903,0.0000703766,0.00000200109,0.0000106013,0.923979,0.04486733,0.000004234391,0.02601065,0.0002814987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002531043,0.0003733807,0.9923954,0.00005955342,0.003545849,0.0003573255,0.0001470503,0.0005584062,0.00003200308],"genre_scores_gemma":[0.9990202,0.0002289794,0.000094328,0.0001047786,0.0001096664,0.0001768983,0.00003509333,0.00006479492,0.0001652942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964891,"threshold_uncertainty_score":0.8555054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128644654","doi":"10.1109/tec.2021.3056557","title":"Torque Ripple Reduction Method for Permanent Magnet Synchronous Machine Drives With Novel Harmonic Current Control","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Torque ripple; Harmonic; Direct torque control; Torque; Rotor (electric); Controller (irrigation); Ripple; Harmonic analysis; Stall torque; Stator; Damping torque; Computer science; Engineering; Physics; Electronic engineering; Voltage; Induction motor; Acoustics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007533211509917118,"gpt":0.214065106430049,"spread":0.2065318949201319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007563172,0.0002119172,0.000246018,0.0001649408,0.0001608172,0.00002787465,0.00007976592,0.00007012215,0.0002024095],"category_scores_gemma":[0.000001221822,0.0002005548,0.0001771901,0.0002846208,0.00002066764,0.0001117784,5.221243e-7,0.000175643,0.000005055013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059187,"about_ca_system_score_gemma":0.00005708451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339199,"about_ca_topic_score_gemma":0.0000700543,"domain_scores_codex":[0.9990348,0.00004773248,0.0001921452,0.0003049016,0.0001714987,0.0002489612],"domain_scores_gemma":[0.9994748,0.0000760257,0.00003718066,0.0002154339,0.0000943011,0.0001022091],"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":[0.0002180522,0.0004089428,0.000003229348,0.0001397274,0.0005196822,0.00001187108,0.000134039,0.4607463,0.3044505,0.0001620195,0.0007755131,0.2324301],"study_design_scores_gemma":[0.001811726,0.000196554,0.000006617103,0.00003627437,0.0003283519,0.00005291064,0.00003068049,0.7097781,0.2789771,0.00001274688,0.008522531,0.0002463728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002978234,0.000791977,0.9949809,0.0001400273,0.0006486519,0.0001330834,0.00008547796,0.0001778389,0.00006382083],"genre_scores_gemma":[0.987731,0.0008414651,0.0103334,0.00004957817,0.00009112548,0.000112484,0.00005806732,0.00004476153,0.00073808],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9847528,"threshold_uncertainty_score":0.8178387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146292227","doi":"10.1109/tec.2004.842376","title":"Incorporating Well-Being Considerations in Generating Systems Using Energy Storage","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Probabilistic logic; Reliability (semiconductor); Reliability engineering; Electric power system; Computer science; Wind power; Energy storage; Engineering; Power (physics); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.009437024073364463,"gpt":0.1945912948282542,"spread":0.1851542707548897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002263499,0.0002521625,0.0002829759,0.0003219006,0.0002846365,0.00007401243,0.00009642676,0.0001792846,0.0000524588],"category_scores_gemma":[0.000005432266,0.0002819067,0.00009074812,0.0003041735,0.00004335932,0.0004352648,0.000002053653,0.0002308494,0.0000161202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005596823,"about_ca_system_score_gemma":0.00006149342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039625,"about_ca_topic_score_gemma":0.0008414369,"domain_scores_codex":[0.9984878,0.0001256531,0.0005227052,0.0003132542,0.0002116099,0.0003389898],"domain_scores_gemma":[0.9993252,0.0001405759,0.00007459372,0.0002879994,0.00006429865,0.0001073982],"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":[0.000005752753,0.00003975517,0.000009028077,0.00004380759,0.00002181034,0.00001648986,0.000193757,0.974682,0.02220037,0.001521111,0.0001092831,0.00115685],"study_design_scores_gemma":[0.0004494219,0.00002488831,0.000002442486,0.0001997874,0.00001596942,0.00003852264,0.0001952838,0.9492028,0.04702105,0.00003976551,0.002526077,0.0002840298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0769804,0.0002257835,0.9187778,0.00004843937,0.001895955,0.00009462098,0.00000675637,0.0002954897,0.00167473],"genre_scores_gemma":[0.9968421,0.00005884569,0.002442624,0.0001591191,0.0001494883,0.00003515616,0.000004151543,0.00004584302,0.0002626592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9198617,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}