{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":126,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":126,"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","author_layer_release":"2026-06-26"},"query_hash":"8c0ff8aca5cb","filters":{"venue":"Journal of Electrotechnology Electrical Engineering and Management"}},"results":[{"id":"W2740132794","doi":"10.23977/jeeem.2017.11005","title":"Clock Glitch Fault Injection Attacks on an FPGA AES Implementation","year":2017,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Glitch; Computer science; Field-programmable gate array; Encryption; Advanced Encryption Standard; AES implementations; Fault injection; Embedded system; Key (lock); Fault (geology); Cryptography; Computer security; Operating system; Software","authors":[{"name":"Hailong Liu","is_ca":false},{"name":"Zhenglin Liu","is_ca":false},{"name":"Yifei Qiao","is_ca":false},{"name":"Zhaojun Lu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008845814950456712,"gpt":0.2877073793628055,"spread":0.2788615644123488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003751318,0.0001394762,0.0001828249,0.0006010575,0.0003145747,0.0002043325,0.0005950276,0.00007489432,0.000002781484],"category_scores_gemma":[0.00003153395,0.0001277798,0.0000608733,0.0002696012,0.00002509404,0.000428694,0.0001049378,0.0003718514,8.555593e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007836623,"about_ca_system_score_gemma":0.00001666615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002062871,"about_ca_topic_score_gemma":0.00001172499,"domain_scores_codex":[0.9988854,0.000023409,0.0003255485,0.0002185097,0.0002240765,0.0003230734],"domain_scores_gemma":[0.9991812,0.00002221828,0.0002624592,0.000384432,0.00007467766,0.00007500546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003551443,0.0001552367,0.00035116,0.00002385969,0.0001730826,0.00006221927,0.00009537223,0.0008377,0.002830322,0.5084081,0.0005029608,0.4865245],"study_design_scores_gemma":[0.01691659,0.04519358,0.1530893,0.000274548,0.0006079082,0.003246867,0.0007203667,0.4424413,0.1066078,0.1012748,0.1264198,0.003207168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4502806,0.0002037927,0.5464488,0.002374531,0.0002274938,0.0002414314,6.172753e-7,0.0001201316,0.0001026161],"genre_scores_gemma":[0.9897735,0.0005886739,0.009460236,0.00008777538,0.00005563008,0.00001514272,9.635319e-7,0.000008353436,0.000009779518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5394928,"threshold_uncertainty_score":0.5210709,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379229446","doi":"10.23977/jeeem.2023.060302","title":"Condition Evaluation and Fault Diagnosis of Power Transformer Based on GAN-CNN","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Prognostics; Transformer; Reliability engineering; Computer science; Convolutional neural network; Artificial neural network; Fault (geology); Data mining; Condition monitoring; Rough set; Artificial intelligence; Engineering; Electrical engineering; Voltage","authors":[{"name":"Haoran Xu","is_ca":false},{"name":"Ziyi Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005570028874903946,"gpt":0.2207605108710876,"spread":0.2151904819961836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003187655,0.0001236871,0.0001980453,0.0007947326,0.00002497571,0.00001008431,0.00006228109,0.0001005779,0.000007920803],"category_scores_gemma":[0.00005600059,0.0001169076,0.00004590346,0.0005395629,0.00001884644,0.0000711398,0.000002816373,0.0002445724,0.000001226286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006198744,"about_ca_system_score_gemma":0.000008509758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.706793e-7,"about_ca_topic_score_gemma":2.423838e-7,"domain_scores_codex":[0.9991484,0.00001013879,0.0002975635,0.00009575734,0.0002288285,0.0002193661],"domain_scores_gemma":[0.9996862,0.00009224763,0.00004742154,0.0000711165,0.00005808697,0.00004491252],"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":[0.000107441,0.0001738057,0.0004336808,0.0004721777,0.0005383025,0.00004736775,0.00009161576,0.7618545,0.03777109,0.01480245,0.001525717,0.1821819],"study_design_scores_gemma":[0.001502495,0.001262254,0.0109088,0.0001547219,0.0001857007,0.00001830113,0.00001162221,0.9278245,0.05312134,0.001122998,0.003682821,0.0002044228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8973711,0.001643956,0.09827788,0.0009393843,0.0002195631,0.0005544004,0.0000049949,0.0002355709,0.0007531986],"genre_scores_gemma":[0.9947672,0.004845003,0.0002888855,0.00002443914,0.00001183534,0.00003796264,0.000004169875,0.00001756827,0.000002922324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1819774,"threshold_uncertainty_score":0.4767354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2776473351","doi":"10.23977/jeeem.2017.12001","title":"Multi-objective Optimization Charging Strategy for Plug-in Electric Vehicles Based on Dynamic Time-of-use Price","year":2017,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Plug-in; Computer science; MATLAB; Sorting; Genetic algorithm; Mathematical optimization; Electric vehicle; Scheduling (production processes); Automotive engineering; Power (physics); Engineering; Mathematics; Algorithm","authors":[{"name":"Shaomin Zhang","is_ca":false},{"name":"Junxing Zhu","is_ca":false},{"name":"Baoyi Wang","is_ca":false},{"name":"C.P. Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005164722554763253,"gpt":0.2099996932553403,"spread":0.204834970700577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002657012,0.0002413707,0.0004194735,0.001012596,0.00009357402,0.00005766083,0.0003211697,0.000200753,0.000001978639],"category_scores_gemma":[0.0001571794,0.0002315282,0.00009363335,0.000418,0.00002342983,0.0001947148,0.00002217946,0.000600198,3.289581e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002444517,"about_ca_system_score_gemma":0.0000266792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002843993,"about_ca_topic_score_gemma":7.604227e-7,"domain_scores_codex":[0.998693,0.00001477784,0.0004472014,0.000199682,0.0001582981,0.0004869945],"domain_scores_gemma":[0.9992731,0.0001093067,0.0002379577,0.0002376128,0.00008161089,0.00006043324],"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":[0.00009978467,0.00006513331,0.00009373572,0.0001182805,0.000129178,0.00002292396,0.000007440856,0.9538998,0.0274745,0.0006711444,0.00004061214,0.01737748],"study_design_scores_gemma":[0.001442128,0.0008756641,0.004541529,0.00009510534,0.000050706,0.0000274652,0.000002524088,0.980776,0.01175035,0.0001281103,0.0001044624,0.0002059735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.259751,0.001249668,0.7377488,0.0001984412,0.00009501467,0.0007184193,0.000003071147,0.0001623859,0.00007324782],"genre_scores_gemma":[0.9744663,0.001071253,0.02431584,0.00001882035,0.00002526706,0.00002763162,0.000001659084,0.00004561805,0.00002758417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7147154,"threshold_uncertainty_score":0.9441445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379230599","doi":"10.23977/jeeem.2023.060304","title":"Progress in research on relay protection of the power system with large-scale wind power access","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"High-Voltage Power Transmission Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Wind power; Relay; Fault (geology); Electrical engineering; Engineering; Electric power system; Power-system protection; Power (physics); Transient (computer programming); Grid; Automotive engineering; Computer science","authors":[{"name":"Xiaowei Wei","is_ca":false},{"name":"Jiping Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01599877750664498,"gpt":0.2697176986480031,"spread":0.2537189211413581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120984,0.0001766932,0.000337294,0.001535526,0.00006294448,0.00003074887,0.0004294591,0.0001812501,0.000001944807],"category_scores_gemma":[0.00002533279,0.0001186248,0.00005904851,0.003168078,0.00004579768,0.0000928783,0.00006694828,0.001248383,0.000002780379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304196,"about_ca_system_score_gemma":0.00002115587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000190854,"about_ca_topic_score_gemma":0.000001916082,"domain_scores_codex":[0.9981639,0.00006920036,0.000470159,0.0001909033,0.0005378758,0.0005679178],"domain_scores_gemma":[0.9994276,0.00005342349,0.00009192282,0.0002692747,0.00009364704,0.00006417782],"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":[0.001376408,0.0008556239,0.004337318,0.004966167,0.001881384,0.001795493,0.001513771,0.8483267,0.0723305,0.04561852,0.004130134,0.01286795],"study_design_scores_gemma":[0.01366442,0.0122362,0.1123287,0.01135317,0.0002655012,0.002118145,0.002141972,0.6274477,0.1488014,0.0003331441,0.06705135,0.002258269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713492,0.001148378,0.0244634,0.0008044545,0.0002898351,0.001174701,0.000001349505,0.0004012167,0.0003674967],"genre_scores_gemma":[0.9995141,0.0001422664,0.0001681687,0.000003576198,0.00001691775,0.00005851213,1.688116e-7,0.00004108441,0.00005519123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.220879,"threshold_uncertainty_score":0.5423672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390713557","doi":"10.23977/jeeem.2023.060515","title":"Multibeam bathymetry optimization problem based on geometric modeling and simulated annealing","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Bathymetry; Simulated annealing; Depth sounding; Seafloor spreading; Echo sounding; Geology; Seabed; Geodesy; Underwater; Geometry; Remote sensing; Algorithm; Computer science; Mathematics; Geophysics; Oceanography","authors":[{"name":"Wenjing Shi","is_ca":false},{"name":"Chong Xie","is_ca":false},{"name":"Zhi Huang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004697674258604312,"gpt":0.1970950640589572,"spread":0.1923973898003529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003132761,0.0001177205,0.0001577079,0.0007782827,0.00008941002,0.0000230628,0.00009738583,0.00009197904,0.000003531811],"category_scores_gemma":[0.00007380466,0.0001071321,0.0000316056,0.00187385,0.00002191061,0.00004848675,0.00004763365,0.00031881,0.000003843526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009096908,"about_ca_system_score_gemma":0.000003878857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008263644,"about_ca_topic_score_gemma":1.873305e-7,"domain_scores_codex":[0.9990997,0.00001338948,0.0002422909,0.0001870547,0.0001810118,0.0002765366],"domain_scores_gemma":[0.9996708,0.00006246178,0.00007736834,0.0001084488,0.00001428228,0.00006664238],"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":[0.00001379256,0.00002303319,0.00003227997,0.00001168954,0.00002093734,0.00001197557,0.000006720754,0.972885,0.001850851,0.0001238314,0.00007105206,0.02494888],"study_design_scores_gemma":[0.0003675749,0.0002565625,0.0001777409,0.00002238655,0.00002842054,0.0000248317,0.000004772945,0.9977803,0.0006333993,0.0001697733,0.0004304985,0.0001037402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2747768,0.0001580411,0.7236075,0.0008060851,0.0000270093,0.0002248555,2.533674e-7,0.0001980416,0.0002014685],"genre_scores_gemma":[0.969021,0.0006139652,0.03024242,0.00005456477,0.0000139198,0.000002032947,0.000001417381,0.00001682779,0.00003381276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6942443,"threshold_uncertainty_score":0.436872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390713518","doi":"10.23977/jeeem.2023.060517","title":"Research on layout optimization of heliostat based on the Fresnel equation","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Heliostat; Thermal; Tower; MATLAB; Computer science; Optics; Power (physics); Control theory (sociology); Simulation; Electrical engineering; Engineering; Solar energy; Physics; Meteorology","authors":[{"name":"Zhenxiang Zhao","is_ca":false},{"name":"Jiayi Li","is_ca":false},{"name":"Xinyue Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03187556802104112,"gpt":0.2648654079931541,"spread":0.2329898399721129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001173613,0.00009818568,0.0001723782,0.001016988,0.00007347707,0.00001418576,0.0002007206,0.000098848,0.0000108236],"category_scores_gemma":[0.0002686378,0.0000669964,0.0000528989,0.001433131,0.00002739533,0.00002385805,0.00002690145,0.0005019121,0.000007610677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007643781,"about_ca_system_score_gemma":0.00001437011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002138363,"about_ca_topic_score_gemma":8.686735e-7,"domain_scores_codex":[0.998831,0.00009690424,0.0002850606,0.0001167497,0.0003820749,0.0002882072],"domain_scores_gemma":[0.9991548,0.0004127205,0.0001317264,0.0001732463,0.0000935741,0.00003391672],"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":[0.0001230168,0.00004490298,0.000007721756,0.00003170628,0.00007467594,0.00002231238,0.00001540551,0.9198144,0.006845459,0.06757308,0.0005319311,0.004915372],"study_design_scores_gemma":[0.0004889764,0.001412267,0.0001644466,0.0001129135,0.00002044951,0.00001105335,0.0000500602,0.9716512,0.02110773,0.001135494,0.003761036,0.00008435806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6855115,0.001141333,0.2922579,0.01253925,0.000654696,0.001550121,0.000003693756,0.0005866991,0.005754809],"genre_scores_gemma":[0.9990531,0.0003046449,0.0003403316,0.00007403114,0.00005102476,0.00002607884,0.000001464499,0.00001767204,0.0001317086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3135415,"threshold_uncertainty_score":0.2732034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403494593","doi":"10.23977/jeeem.2024.070302","title":"Research on Insulator Defect Detection Model Based on Improved YOLOv8","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Insulator (electricity); Materials science; Optoelectronics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01521971335411841,"gpt":0.2590634304703274,"spread":0.243843717116209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008410992,0.0002010228,0.0002361529,0.004325406,0.0001564215,0.0001284922,0.000280497,0.0002441196,0.000004790994],"category_scores_gemma":[0.0001576895,0.0001730138,0.0001116015,0.002680678,0.00006856173,0.0002053635,0.00007572569,0.001699267,0.00002322365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001696131,"about_ca_system_score_gemma":0.00002435041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008454393,"about_ca_topic_score_gemma":0.000002023099,"domain_scores_codex":[0.9985642,0.000010325,0.0003540987,0.0002895952,0.0002924392,0.0004893627],"domain_scores_gemma":[0.9994106,0.0001060589,0.00008927445,0.0002318811,0.0001448745,0.00001736097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002061841,0.0002587498,0.00001664407,0.0002955358,0.0003108457,0.0001736336,0.000003791637,0.02591182,0.02207513,0.8306265,0.002631735,0.1174895],"study_design_scores_gemma":[0.0005300897,0.0006997555,0.00008760025,0.0001453835,0.00009023063,0.00002890819,0.00001349008,0.9621753,0.00424559,0.01024071,0.02154113,0.0002017939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5532318,0.00190954,0.3994751,0.03562896,0.0008561696,0.001250654,0.000001556436,0.002055181,0.005591103],"genre_scores_gemma":[0.9980147,0.0001351594,0.0008251368,0.000677427,0.0001921004,0.00004696155,0.000001129206,0.00003785318,0.00006949245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9362635,"threshold_uncertainty_score":0.7382563,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380224393","doi":"10.23977/jeeem.2023.060309","title":"Research and Application of New Energy Electric Vehicle Charging Technology Development","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Automotive industry; Electric vehicle; New energy; Technology development; Energy (signal processing); Automotive engineering; Development (topology); Computer science; Engineering; Manufacturing engineering; Mechanical engineering; Aerospace engineering; Physics","authors":[{"name":"Zhai Naichuan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005869765390541005,"gpt":0.2187476533421473,"spread":0.2128778879516063,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003817993,0.0001689575,0.0003185672,0.002708288,0.00007362523,0.00001543499,0.0002443452,0.0002150073,0.00000118917],"category_scores_gemma":[0.00003123499,0.0001632525,0.00002989251,0.003744193,0.00003712223,0.00006762933,0.00008028,0.0006992284,0.000001479641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254238,"about_ca_system_score_gemma":0.00003399417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003255828,"about_ca_topic_score_gemma":8.213302e-7,"domain_scores_codex":[0.9985346,0.00001046595,0.0004416341,0.0001837913,0.0002528576,0.0005766935],"domain_scores_gemma":[0.9995242,0.00005460068,0.00008256525,0.000149822,0.00009357176,0.00009525824],"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":[0.00002949802,0.00003054735,0.0001631794,0.0001991904,0.0003023121,0.00004107257,0.00004375477,0.006818768,0.2640139,0.0657755,0.001483168,0.6610991],"study_design_scores_gemma":[0.001486071,0.001599568,0.003444368,0.0001485112,0.00007468132,0.0005012306,0.00006867448,0.4603224,0.441515,0.01882076,0.07146722,0.0005515117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291756,0.01465364,0.1538742,0.00104213,0.00008872007,0.0003058162,3.292051e-7,0.0006700493,0.0001894561],"genre_scores_gemma":[0.9886971,0.008136985,0.00297413,0.00001021628,0.00005056669,0.00002135334,8.605067e-7,0.00003401136,0.000074809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6605476,"threshold_uncertainty_score":0.6657243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385771227","doi":"10.23977/jeeem.2023.060405","title":"A Multi-Timescale Low Carbon Scheduling Optimization Method for Integrated Energy System Considering Source-load","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Wind power; Computer science; Electric power system; Scheduling (production processes); Renewable energy; Energy storage; Automotive engineering; Mathematical optimization; Power (physics); Control theory (sociology); Engineering; Electrical engineering; Mathematics","authors":[{"name":"Lu Wang","is_ca":false},{"name":"Wanting Wei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004573695486490126,"gpt":0.197968098153111,"spread":0.1933944026666209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005322592,0.00028153,0.0004652999,0.001133727,0.00006690685,0.00004403364,0.0001796116,0.0002795788,7.910484e-7],"category_scores_gemma":[0.0001326866,0.0002743991,0.00009923161,0.001297208,0.00001556113,0.00008479615,0.00003270726,0.0004116219,6.007176e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005394435,"about_ca_system_score_gemma":0.00003497803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829122,"about_ca_topic_score_gemma":0.000002548505,"domain_scores_codex":[0.9984089,0.00003342252,0.0006149618,0.0002213049,0.0001920429,0.0005293504],"domain_scores_gemma":[0.9993052,0.00009986712,0.0001423395,0.0001542502,0.0002121472,0.00008614923],"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":[0.00002546774,0.00001359031,0.000001348984,0.0002162947,0.0003394174,0.00003173398,0.00002135013,0.9706718,0.01829007,0.003164937,0.00007540174,0.007148537],"study_design_scores_gemma":[0.000851988,0.0001651376,0.000001451774,0.0002280718,0.00009624247,0.0002020972,0.00007552492,0.9770204,0.0187278,0.00001661794,0.002373687,0.0002409601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004080811,0.0009959769,0.9930367,0.00007352353,0.0002925514,0.0002423404,9.475032e-7,0.001212043,0.00006510937],"genre_scores_gemma":[0.4216267,0.001264465,0.5763736,0.00002093624,0.0001247366,0.0001884173,0.00001128594,0.0001639924,0.0002258016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4175459,"threshold_uncertainty_score":0.9999708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400318967","doi":"10.23977/jeeem.2024.070206","title":"Artificial Intelligence Based Fault Diagnosis and Relay Protection Technology in Power Systems","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Overfitting; Fault (geology); Computer science; ALARM; Protective relay; Process (computing); Relay; Electric power system; Reliability engineering; Real-time computing; Generalization; Identification (biology); Power (physics); Artificial intelligence; Engineering; Artificial neural network; Electrical engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.006604107722233851,"gpt":0.208656107219163,"spread":0.2020519994969292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929382,0.0001994795,0.0003022426,0.002452864,0.00002893372,0.00006297796,0.0001241371,0.0002830449,0.000001325449],"category_scores_gemma":[0.00007654553,0.0001915552,0.00004179831,0.001511202,0.00003154461,0.0001177344,0.00002550684,0.0009440063,0.000002545369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809842,"about_ca_system_score_gemma":0.00001216593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005339487,"about_ca_topic_score_gemma":0.000001874284,"domain_scores_codex":[0.9987178,0.00001994855,0.0005329816,0.0002140672,0.0001513797,0.0003638633],"domain_scores_gemma":[0.9996915,0.00005130627,0.00005032004,0.0001229767,0.00003124683,0.00005258547],"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":[0.00009322551,0.0001363244,0.00009098607,0.001853564,0.0006426893,0.001306495,0.00008883618,0.2945505,0.05799055,0.07668693,0.0002713522,0.5662886],"study_design_scores_gemma":[0.0001231643,0.0007675736,0.00004787231,0.0004996915,0.00005137553,0.0008042967,0.00003582883,0.9557307,0.02507385,0.001412005,0.01518538,0.0002681944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1431407,0.0215032,0.8321321,0.001007159,0.000794992,0.0005987696,6.942175e-7,0.000776927,0.0000453982],"genre_scores_gemma":[0.9971402,0.001775181,0.0008426825,0.000004902015,0.00002966059,0.0001647295,1.637439e-7,0.00003422749,0.000008271839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8539994,"threshold_uncertainty_score":0.7811396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395094645","doi":"10.23977/jeeem.2024.070111","title":"Research on intelligent algorithm-based power system fault prediction and diagnosis technology","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Fault (geology); Computer science; Artificial intelligence; Data mining; Algorithm; Machine learning; Reliability engineering; Engineering","authors":[{"name":"Yanhao Li","is_ca":false},{"name":"Xiaorong Sun","is_ca":false},{"name":"Luyao Tong","is_ca":false},{"name":"Bo Peng","is_ca":false},{"name":"Jinpeng Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008773827166082888,"gpt":0.2415534287034579,"spread":0.232779601537375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005703149,0.0002191304,0.0003233332,0.00328774,0.00006698639,0.00007023703,0.0002306834,0.0003465403,0.000001626957],"category_scores_gemma":[0.00004551428,0.0001869475,0.00005800124,0.00155077,0.0000765047,0.00007037058,0.00006263132,0.001376167,0.000004766753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585745,"about_ca_system_score_gemma":0.00001494628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001508324,"about_ca_topic_score_gemma":2.307337e-7,"domain_scores_codex":[0.9985181,0.00001978868,0.000415,0.0002550262,0.0002802982,0.0005117695],"domain_scores_gemma":[0.9994983,0.000123904,0.00003476034,0.0002032097,0.00006930004,0.00007050388],"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":[0.00003978744,0.0001283747,0.00005604757,0.001574997,0.00119858,0.001555926,0.00003714999,0.02327582,0.004802836,0.3016855,0.006009924,0.659635],"study_design_scores_gemma":[0.0007013461,0.004121216,0.0001370018,0.001829589,0.0001416794,0.00125898,0.0003118533,0.77887,0.05577006,0.001771257,0.1545814,0.0005055906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.174834,0.09061403,0.7206718,0.003449462,0.001809586,0.001180572,0.00001098291,0.006447633,0.0009819629],"genre_scores_gemma":[0.9915694,0.005434448,0.002757387,0.000007242583,0.00004689332,0.00012169,4.503416e-7,0.00004148855,0.00002098733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8167354,"threshold_uncertainty_score":0.7623499,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379229730","doi":"10.23977/jeeem.2023.060303","title":"Short-term load prediction based on Pearson-optimized CNN-LSTM hybrid neural network","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Electric power system; Artificial intelligence; Smart grid; Pearson product-moment correlation coefficient; Power grid; Power (physics); Inefficiency; Term (time); Stability (learning theory); Convolutional neural network; Machine learning; Statistics; Engineering; Mathematics","authors":[{"name":"Chen Xu","is_ca":false},{"name":"Xinying Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005616281758078104,"gpt":0.1860280322208132,"spread":0.1804117504627351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658075,0.0002428409,0.0003304453,0.0006099577,0.00007335898,0.00003335163,0.000194887,0.0001193754,0.00000415354],"category_scores_gemma":[0.00004296414,0.000231262,0.0001110737,0.0008360535,0.00001947258,0.00007530056,0.00003378066,0.0007680834,0.000003767605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687572,"about_ca_system_score_gemma":0.00001166789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.525271e-7,"about_ca_topic_score_gemma":1.70465e-7,"domain_scores_codex":[0.9984823,0.00001750176,0.0004073161,0.0001823164,0.0002791408,0.0006314514],"domain_scores_gemma":[0.999559,0.00008166697,0.00005575651,0.0001630677,0.00003725244,0.0001032895],"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":[0.00005708776,0.00001903949,0.0000485528,0.00005709976,0.0001437761,0.0002465826,0.000004954273,0.9654753,0.00155696,0.0006256436,0.002641048,0.02912391],"study_design_scores_gemma":[0.0006791491,0.0005361967,0.000692015,0.0001064467,0.00006786646,0.0001380201,0.000001900672,0.9918045,0.001682092,0.0001017136,0.003991004,0.0001991107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491395,0.003821327,0.2369779,0.001135115,0.00231357,0.0006602255,0.000005391707,0.004026204,0.001920756],"genre_scores_gemma":[0.9958584,0.001679698,0.002040313,0.00004416298,0.0002356894,0.00002237513,0.000004532575,0.00005237143,0.00006242391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2467189,"threshold_uncertainty_score":0.9430591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386802681","doi":"10.23977/jeeem.2023.060410","title":"Research on Safety Risk Identification and Control Strategy of Power Transmission and Transformation Project Construction Site","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Power transmission; Risk management; Engineering; Risk analysis (engineering); Process (computing); Transmission (telecommunications); Transformation (genetics); Power (physics); Construction management; Control (management); Business; Computer science; Civil engineering; Telecommunications","authors":[{"name":"Gaomin Bian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005565928078560811,"gpt":0.2426469913766745,"spread":0.2370810632981137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007721482,0.0001064407,0.0002034144,0.0009205751,0.00007243823,0.00002215773,0.00005472429,0.0001246402,0.000001221405],"category_scores_gemma":[0.00003310382,0.00009278229,0.00002904537,0.0006829955,0.00006036946,0.0001245365,0.00000763451,0.0005518878,1.996221e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000782199,"about_ca_system_score_gemma":0.00001261413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003533262,"about_ca_topic_score_gemma":3.77604e-7,"domain_scores_codex":[0.999055,0.00004529837,0.0003684612,0.000115696,0.0001769763,0.0002385202],"domain_scores_gemma":[0.9996502,0.00009376559,0.00006158673,0.00007812061,0.00007660575,0.00003976203],"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":[0.0006234049,0.00006351972,0.0001666454,0.001061576,0.0005220962,0.00003519622,0.0004828175,0.07540432,0.08798527,0.05560262,0.0002859029,0.7777666],"study_design_scores_gemma":[0.006846932,0.006054004,0.0643032,0.0002869802,0.0003989305,0.0006875426,0.001549877,0.8231438,0.0426195,0.03846379,0.01487824,0.0007671559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8170812,0.0007671195,0.1811714,0.0002827756,0.00003999982,0.000383542,0.000002371294,0.0001125681,0.0001590587],"genre_scores_gemma":[0.9920508,0.007452035,0.0004573837,0.000002650948,0.00001007179,0.000008266045,0.000001218354,0.00001045434,0.000007085707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7769995,"threshold_uncertainty_score":0.3783552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400987764","doi":"10.23977/jeeem.2024.070214","title":"The Adaptability and Challenges of Protection Relays in Distributed Generation Systems","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Adaptability; Computer science; Risk analysis (engineering); Systems engineering; Engineering; Business; Economics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01006204287621354,"gpt":0.1892695669760479,"spread":0.1792075240998344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005668838,0.0001047569,0.0001877224,0.000365111,0.00002659305,0.00002895387,0.00006892836,0.0001111473,9.246968e-8],"category_scores_gemma":[0.00005267951,0.00008100933,0.00002778563,0.0003939556,0.00001952396,0.00007996982,0.00001532292,0.0004162507,1.593729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637801,"about_ca_system_score_gemma":0.000006609915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005476107,"about_ca_topic_score_gemma":0.000005674501,"domain_scores_codex":[0.9991873,0.00002738702,0.0003803759,0.0001092671,0.0001105787,0.0001851272],"domain_scores_gemma":[0.9997595,0.00004657197,0.00004694278,0.00009427097,0.00002732656,0.00002537928],"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":[0.00008131353,0.00005995906,0.00002177185,0.003125033,0.0007934392,0.0001160339,0.0001153818,0.09849508,0.136882,0.09935983,0.0002143645,0.6607357],"study_design_scores_gemma":[0.0002257679,0.0003889284,0.0003942824,0.0001663271,0.00003604523,0.0003566099,0.00003436528,0.9675734,0.00593655,0.0002706606,0.02450856,0.0001084699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3372664,0.2188178,0.4406212,0.001022251,0.0009683078,0.0009194103,0.000001438905,0.0003328503,0.0000502775],"genre_scores_gemma":[0.9774625,0.02231265,0.0001034556,2.986654e-7,0.00004589044,0.00005826536,1.978775e-7,0.00001277577,0.000003998451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8690783,"threshold_uncertainty_score":0.3303465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381571318","doi":"10.23977/jeeem.2023.060210","title":"Research on power fluctuation matching control of large-scale wind power hydrogen production system based on multi-factor cyclic queue method","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Hydrogen production; Renewable energy; Wind power; Power to gas; Power (physics); Environmental science; Process engineering; Computer science; Automotive engineering; Hydrogen; Engineering; Electrolysis; Electrical engineering; Electrolyte; Thermodynamics; Physics","authors":[{"name":"Hao Li","is_ca":false},{"name":"Zixuan Shangguan","is_ca":false},{"name":"Cunman Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01136855650280221,"gpt":0.2762883458586123,"spread":0.2649197893558101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00233692,0.000243082,0.0005316683,0.002472083,0.000117597,0.00002196593,0.0002781257,0.0002337482,0.000005480518],"category_scores_gemma":[0.000237736,0.0002106599,0.0001283619,0.001702708,0.00002556912,0.00007526704,0.00004088841,0.0008723987,0.00001035924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647062,"about_ca_system_score_gemma":0.00004315981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000415742,"about_ca_topic_score_gemma":0.00000689768,"domain_scores_codex":[0.997284,0.0003019886,0.0006666281,0.0003739632,0.0006829826,0.0006904523],"domain_scores_gemma":[0.9988475,0.000247767,0.0002712486,0.0003581842,0.000174463,0.0001008233],"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":[0.0002081649,0.0001597871,0.00001002524,0.0001317427,0.0002998275,0.00008958626,0.00005162414,0.83077,0.1523685,0.01372247,0.0001174902,0.002070772],"study_design_scores_gemma":[0.003551533,0.002977618,0.0009046585,0.0006202877,0.000111426,0.0001751511,0.0003161013,0.7471557,0.2359928,0.0002300816,0.007518461,0.0004461757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7337209,0.0003797327,0.2627006,0.00117064,0.0005233777,0.0007078604,0.000003351689,0.0004378322,0.0003556334],"genre_scores_gemma":[0.9976241,0.00007636951,0.001894714,0.00002765777,0.00007796464,0.00003742575,0.000002128399,0.00005669342,0.0002029426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2639032,"threshold_uncertainty_score":0.8590463,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392622694","doi":"10.23977/jeeem.2024.070105","title":"Fault Diagnosis of Sensors for Multi-stack Fuel Cell Thermal Management Subsystem Based on UKF","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Stack (abstract data type); Fuel cells; Automotive engineering; Fault (geology); Thermal; Computer science; Proton exchange membrane fuel cell; Engineering; Geology; Chemical engineering; Physics","authors":[{"name":"Zhou Su","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006666715348384881,"gpt":0.2099448472399097,"spread":0.2032781318915249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002416717,0.0002622864,0.000444123,0.0008030164,0.0000281219,0.00002629727,0.0001951585,0.0001418512,0.000002212927],"category_scores_gemma":[0.00001634954,0.0002298341,0.0001828576,0.0004588942,0.00001738069,0.00005871095,0.0000174352,0.0004026257,0.000001950473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151874,"about_ca_system_score_gemma":0.000006406491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.73671e-7,"about_ca_topic_score_gemma":2.907533e-7,"domain_scores_codex":[0.9985753,0.0000170562,0.0005375659,0.0002101391,0.0002163506,0.0004435585],"domain_scores_gemma":[0.9994813,0.0001280162,0.00008183895,0.0001889865,0.00004709791,0.00007278733],"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":[0.0001336146,0.00014757,0.00002179358,0.004926327,0.0008236312,0.0002957714,0.0000339601,0.9440801,0.01307979,0.00765686,0.0008014896,0.02799906],"study_design_scores_gemma":[0.001399863,0.0007500325,0.00006038382,0.000305835,0.0002050808,0.00003204031,0.00002777434,0.9595428,0.01681236,0.00006554649,0.02054325,0.0002550531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06397764,0.0261046,0.9052634,0.0003764378,0.0008042876,0.001632255,0.00001274489,0.0007940435,0.001034621],"genre_scores_gemma":[0.9893928,0.002850898,0.007360547,0.00001923416,0.00006554824,0.0001119426,0.000001159642,0.00006184817,0.0001360024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9254152,"threshold_uncertainty_score":0.9372362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404697169","doi":"10.23977/jeeem.2024.070304","title":"Analysis on the Influence of Different Filth Grades on the Hydrophopathy of Composite Insulators","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Composite number; Composite material; Materials science; Geotechnical engineering; Forensic engineering; Engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.004356112118441849,"gpt":0.1978533312348044,"spread":0.1934972191163626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004426645,0.0001470864,0.0003258363,0.000792695,0.0000585227,0.00002765178,0.0003274977,0.00005916375,0.00001229609],"category_scores_gemma":[0.0001156919,0.00007669024,0.0001253364,0.001513655,0.00007035324,0.00003761284,0.000044171,0.0003985638,0.000001793881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006673222,"about_ca_system_score_gemma":0.00001399733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004010919,"about_ca_topic_score_gemma":2.922092e-7,"domain_scores_codex":[0.9988029,0.00005322279,0.0004473983,0.0001546037,0.0003131124,0.0002287758],"domain_scores_gemma":[0.9991276,0.0003923538,0.0001771076,0.0002169713,0.00004834622,0.00003762237],"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":[0.00009588831,0.0001621429,0.0001259753,0.00008185657,0.0007299638,0.00003088695,0.00008948644,0.04646389,0.6314924,0.3186427,0.00006750489,0.002017201],"study_design_scores_gemma":[0.0007032352,0.004445094,0.02258972,0.000413355,0.001226059,0.0000672213,0.00004399207,0.1409273,0.8114538,0.01639036,0.001282754,0.0004571511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940364,0.0007109055,0.003690884,0.00125863,0.00004742776,0.0001466963,0.000001410099,0.00003989565,0.0000677534],"genre_scores_gemma":[0.9991961,0.0005774275,0.0000799713,0.00009309196,0.00001601151,0.000009446439,2.439445e-7,0.000008904545,0.00001880584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3022524,"threshold_uncertainty_score":0.3127337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388982374","doi":"10.23977/jeeem.2023.060509","title":"Distributed photovoltaic index insurance premium prediction method based on ARIMA model","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Technology and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Photovoltaic system; Index (typography); Distributed generation; Environmental economics; Computer science; Mode (computer interface); Business; Engineering; Renewable energy; Time series; Economics; Electrical engineering","authors":[{"name":"Zeying Bao","is_ca":false},{"name":"Shouwei Gong","is_ca":false},{"name":"Yihang Chen","is_ca":false},{"name":"Jiayi Wang","is_ca":false},{"name":"Shiqi Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005276377862449301,"gpt":0.2103101303122481,"spread":0.2050337524497988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141947,0.0001822493,0.0003058901,0.001229456,0.00008394108,0.00003473771,0.0005953431,0.0002575022,2.903435e-7],"category_scores_gemma":[0.0001126314,0.0001666086,0.00007829584,0.001814998,0.00002425978,0.0001359466,0.0001022167,0.0008352603,0.000002297993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123451,"about_ca_system_score_gemma":0.00003207833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001593938,"about_ca_topic_score_gemma":2.947095e-7,"domain_scores_codex":[0.9985534,0.00003614707,0.0003909371,0.0002909734,0.0002798348,0.0004487415],"domain_scores_gemma":[0.9992859,0.00008846795,0.0001638197,0.0003284357,0.00006400837,0.00006940337],"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":[0.0001223289,0.000220201,0.0004659828,0.0001491655,0.0002560973,0.0003329199,0.00004014323,0.8032089,0.01989598,0.1272917,0.002711255,0.0453053],"study_design_scores_gemma":[0.0006245422,0.0005824672,0.001353073,0.00004539046,0.00001548077,0.0001108611,0.000002271025,0.9856591,0.005278628,0.004296803,0.001898014,0.0001333351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057881,0.0001774509,0.9766551,0.001442394,0.0001346608,0.0002114963,0.000002702239,0.000762126,0.00003525128],"genre_scores_gemma":[0.9797298,0.0002686201,0.01979817,0.00009657974,0.00002265673,0.00003799798,0.000001805631,0.00001295856,0.0000314662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9591509,"threshold_uncertainty_score":0.6794102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402103223","doi":"10.23977/jeeem.2024.070219","title":"Research and Design of Power Transformer Online Monitoring System","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Transformer; Electrical engineering; Computer science; Environmental science; Engineering; Voltage","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01597963117747879,"gpt":0.2501930749295371,"spread":0.2342134437520583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260232,0.0001466887,0.0003063075,0.001270224,0.00002945113,0.0000304005,0.0001702319,0.0001679374,4.252778e-7],"category_scores_gemma":[0.0000196627,0.0001234012,0.00004031901,0.0007867596,0.00004878589,0.00008743443,0.00002598875,0.0007854201,5.763853e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238633,"about_ca_system_score_gemma":0.00001102374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001609682,"about_ca_topic_score_gemma":9.365568e-8,"domain_scores_codex":[0.9988894,0.00001359995,0.0003846898,0.0001343839,0.0002067742,0.0003711274],"domain_scores_gemma":[0.9996564,0.00009543103,0.00002741562,0.0001159256,0.00005584105,0.0000489486],"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":[0.0001381471,0.0001991296,0.00007041499,0.007057335,0.003281557,0.001570805,0.0002734149,0.03520779,0.4011403,0.2950557,0.00167736,0.2543281],"study_design_scores_gemma":[0.002414572,0.009534121,0.001207756,0.006248328,0.0004811841,0.005763771,0.001544828,0.5103574,0.4157135,0.004693289,0.04063452,0.001406693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3160956,0.1021088,0.5784395,0.0003580099,0.0006398803,0.0005135612,0.00000227792,0.001617408,0.0002249815],"genre_scores_gemma":[0.9876478,0.007602815,0.004646924,6.285465e-7,0.00003533096,0.00001360174,9.174761e-8,0.00003524555,0.00001761091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6715521,"threshold_uncertainty_score":0.5032154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387506479","doi":"10.23977/jeeem.2023.060504","title":"Cost-effective evaluation of air purifiers based on entropy weight method combined with TOSIS","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Air purifier; TOPSIS; Weighting; Entropy (arrow of time); Computer science; Air quality index; Ranking (information retrieval); Operations research; Artificial intelligence; Engineering; Medicine; Geography","authors":[{"name":"Ziyang Wu","is_ca":false},{"name":"Qiaojun Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01384475011945352,"gpt":0.2643294544696964,"spread":0.2504847043502428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456876,0.0001346485,0.0002426747,0.0003922163,0.00005486693,0.000006090662,0.0001403144,0.00008048017,0.000009639074],"category_scores_gemma":[0.0001509266,0.0001065132,0.00005350641,0.0009782668,0.00004138762,0.00004970518,0.00003869313,0.0003463582,0.000002937659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002748337,"about_ca_system_score_gemma":0.000009866006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004518529,"about_ca_topic_score_gemma":3.298561e-7,"domain_scores_codex":[0.9986722,0.00009187618,0.0002563166,0.0001751578,0.000507993,0.0002963856],"domain_scores_gemma":[0.9994331,0.0001687662,0.0001749249,0.0001292485,0.00003521143,0.00005872265],"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":[0.0004459042,0.0001563044,0.0007077674,0.00005276901,0.0002443669,0.00003644051,0.00005158526,0.6591822,0.01124559,0.002130137,0.0004097823,0.3253371],"study_design_scores_gemma":[0.002207404,0.004289668,0.008309583,0.000101232,0.0002738234,0.00002795172,0.0000290655,0.9242008,0.05770794,0.0007030548,0.001944589,0.0002048706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035832,0.0001256045,0.3916076,0.002120817,0.0001726996,0.001698921,0.000001002628,0.0002156792,0.000474392],"genre_scores_gemma":[0.9892902,0.00007487855,0.01043506,0.00003182841,0.00002155858,0.0001018731,8.310084e-7,0.0000150697,0.0000287267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3857069,"threshold_uncertainty_score":0.4343481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385642302","doi":"10.23977/jeeem.2023.060403","title":"The Impact of Charging Infrastructure on the Promotion of New Energy Vehicles","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Lagging; Promotion (chess); New energy; Context (archaeology); China; Business; Environmental economics; Transport engineering; Energy (signal processing); Engineering; Economics","authors":[{"name":"Yujiao Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004127500234320014,"gpt":0.1963854229828619,"spread":0.1922579227485419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002498709,0.0001621882,0.0002526458,0.0004181082,0.00005990053,0.00001483437,0.0002922336,0.0001118016,0.000003046889],"category_scores_gemma":[0.00006180011,0.00009030827,0.0001243938,0.001128149,0.00003354179,0.00004303546,0.00003429152,0.0005124189,3.296363e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000868844,"about_ca_system_score_gemma":0.00002366953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005691014,"about_ca_topic_score_gemma":3.274608e-7,"domain_scores_codex":[0.9989837,0.00001614701,0.0003751843,0.00008619494,0.0001944118,0.0003443884],"domain_scores_gemma":[0.999481,0.0001121374,0.0001465867,0.0001667114,0.00004657557,0.00004704588],"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":[0.00009614641,0.00003253213,0.0001276159,0.0001062143,0.001228611,0.00002483754,0.00007479925,0.3784843,0.1428725,0.0977281,0.01841447,0.3608098],"study_design_scores_gemma":[0.001377815,0.004456793,0.01958809,0.0002593041,0.0001744459,0.0003070969,0.00005847046,0.7216336,0.2093213,0.03256437,0.009789441,0.000469334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818813,0.002585455,0.01368058,0.001214233,0.0001206388,0.0002013219,0.000001193987,0.0001682708,0.0001469545],"genre_scores_gemma":[0.9942787,0.005400388,0.0001824934,0.00000806628,0.00006041271,0.000004881654,4.790547e-7,0.00002195013,0.00004262387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3603405,"threshold_uncertainty_score":0.3682664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400665752","doi":"10.23977/jeeem.2024.070211","title":"Study on the relationship between multibeam bathymetric coverage width and overlap rate based on seafloor slope","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Seafloor spreading; Bathymetry; Geology; Geomorphology; Oceanography; Geodesy; Remote sensing","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01402536332093148,"gpt":0.2311812263425756,"spread":0.2171558630216441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007454682,0.0001909043,0.0001913871,0.0003371904,0.0001066532,0.00004751461,0.0002118345,0.00008580459,0.00004116917],"category_scores_gemma":[0.0001728589,0.0001331975,0.00004735851,0.000802189,0.0000586216,0.00007476535,0.00008870595,0.0008603776,0.00002432482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918056,"about_ca_system_score_gemma":0.000003432184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002438015,"about_ca_topic_score_gemma":4.627827e-7,"domain_scores_codex":[0.9988177,0.00006971106,0.0002479847,0.0002714021,0.0003057678,0.0002873713],"domain_scores_gemma":[0.9988989,0.0007779613,0.0000595485,0.0001935293,0.000002351493,0.00006773244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005079134,0.00183399,0.2483947,0.0002920027,0.0011775,0.002049757,0.0004345273,0.1344473,0.003264827,0.02383569,0.00480157,0.5789602],"study_design_scores_gemma":[0.001417669,0.007098037,0.9328458,0.0001263733,0.0002639849,0.00008400589,0.00004683046,0.04718345,0.001224884,0.001815143,0.007430295,0.0004635272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885693,0.0004710185,0.007420323,0.002183738,0.00006841009,0.0005033793,0.000001279624,0.00008231289,0.0007002102],"genre_scores_gemma":[0.9987802,0.0002709373,0.0004541619,0.0001746302,0.0000372333,0.00002323747,4.685407e-7,0.00002366795,0.0002354498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.684451,"threshold_uncertainty_score":0.5431635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399473654","doi":"10.23977/jeeem.2024.070120","title":"Research on Distribution Engineering Information Recognition Technology Based on Improved RF Algorithm","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Algorithm","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.007099793855345105,"gpt":0.2254052739375934,"spread":0.2183054800822483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005817269,0.0002288271,0.0002700564,0.003159558,0.0000576825,0.00008856165,0.0002301938,0.000354931,0.000002339378],"category_scores_gemma":[0.0001239447,0.0002074423,0.00007376989,0.001931858,0.00003289562,0.0001963981,0.00003697305,0.001609014,0.00001538153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331539,"about_ca_system_score_gemma":0.00001868375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001178714,"about_ca_topic_score_gemma":1.10975e-7,"domain_scores_codex":[0.9985492,0.00001093893,0.0004403793,0.0001750099,0.0002833441,0.0005410761],"domain_scores_gemma":[0.9994925,0.0001055358,0.00004579926,0.0002006176,0.00009664276,0.00005886273],"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":[0.0000372929,0.00005570299,9.647478e-7,0.0004452521,0.0002730568,0.0001578759,0.000008229674,0.04518757,0.006404936,0.02842288,0.002124944,0.9168813],"study_design_scores_gemma":[0.0003980752,0.001458304,0.00002597808,0.0004427815,0.00003329582,0.0001419387,0.00001943259,0.9046671,0.02397206,0.0008709634,0.06773344,0.000236613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02906527,0.003336566,0.9610162,0.001642949,0.0009120713,0.0006212745,0.00001608138,0.003009886,0.0003796616],"genre_scores_gemma":[0.9933867,0.001341303,0.005019106,0.00001842538,0.00007826152,0.00009738605,0.00001100465,0.00003745693,0.00001031703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9643215,"threshold_uncertainty_score":0.8459252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408887329","doi":"10.23977/jeeem.2025.080106","title":"Characterization of screw conveyor based on discrete element method","year":2025,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Characterization (materials science); Discrete element method; Element (criminal law); Computer science; Materials science; Physics; Nanotechnology; Mechanics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.002910952327258348,"gpt":0.2047657305836889,"spread":0.2018547782564305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146012,0.0002284088,0.0004604862,0.001269993,0.00002451122,0.0000158956,0.0002256078,0.0001406626,0.000003682315],"category_scores_gemma":[0.00004694178,0.0002200616,0.00009093159,0.0008266327,0.00001655901,0.0000620227,0.00002965294,0.0004680255,6.621239e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564484,"about_ca_system_score_gemma":0.00001808336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.985994e-7,"about_ca_topic_score_gemma":1.618817e-7,"domain_scores_codex":[0.9986656,0.00002467897,0.0006132791,0.0001563468,0.0001953579,0.0003447334],"domain_scores_gemma":[0.9994711,0.00007456044,0.0001214507,0.0002119558,0.00006345224,0.00005748671],"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":[0.0000751459,0.00008027827,0.00005451707,0.001176003,0.000843936,0.00004970722,0.00001564737,0.2541027,0.6371753,0.05922819,0.0002032222,0.04699541],"study_design_scores_gemma":[0.0009449444,0.0004227588,0.0006708098,0.0003459773,0.0001270759,0.0000221065,0.000004193007,0.7648519,0.2242848,0.0001091077,0.007999458,0.0002169292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03191484,0.0006717248,0.9659134,0.000320108,0.0002771103,0.000306286,0.000001724219,0.0002126414,0.0003822306],"genre_scores_gemma":[0.9870827,0.0004638825,0.01224475,0.00005541741,0.00002783401,0.00003311637,0.000002156813,0.00003501817,0.00005509906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551679,"threshold_uncertainty_score":0.8973853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405372779","doi":"10.23977/jeeem.2024.070310","title":"Application of artificial intelligence in electric power dispatching automation system","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Automation; Computer science; Electric power; Process automation system; Artificial intelligence; Power (physics); Electric power system; Engineering; Systems engineering; Mechanical engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.00298063952367682,"gpt":0.1950349371935187,"spread":0.1920542976698418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003140814,0.0001388669,0.0002761186,0.001404605,0.00001416284,0.00002277323,0.0001734711,0.0001429757,4.602844e-7],"category_scores_gemma":[0.00002637995,0.0001271883,0.00005328087,0.001215176,0.00001313237,0.00009908633,0.00002451441,0.0004741115,0.000001454213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158214,"about_ca_system_score_gemma":0.0000096813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004215103,"about_ca_topic_score_gemma":8.955008e-7,"domain_scores_codex":[0.9989,0.000009216214,0.0005580919,0.0001298743,0.0001407545,0.0002620554],"domain_scores_gemma":[0.9997187,0.00004583063,0.00006694716,0.0001184207,0.00002441205,0.00002568871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000146092,0.0000385758,0.00001950082,0.001021476,0.0002119089,0.0001154598,0.00005594613,0.05494635,0.07313024,0.4711455,0.00004543086,0.399255],"study_design_scores_gemma":[0.00005351951,0.0002126406,0.0001638418,0.000240492,0.00003022998,0.0001861975,0.00004223648,0.9753168,0.02104402,0.001908907,0.0006714629,0.0001296952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1166299,0.007564484,0.8746617,0.00009769126,0.0001855675,0.0001976662,3.361573e-7,0.0005716352,0.00009100611],"genre_scores_gemma":[0.9966118,0.0008007531,0.002519018,0.000001441178,0.00001962857,0.00002528669,2.708584e-7,0.00001968935,0.000002090105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9203704,"threshold_uncertainty_score":0.5186589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3196682405","doi":"10.23977/jeeem.2021.040103","title":"Summary of Research on Intelligent Control algorithm and Application of Power system Automation","year":2021,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Automation; Intelligent control; Intellectualization; Computer science; Artificial neural network; Futures studies; Field (mathematics); Fuzzy control system; Control engineering; Control (management); Automatic control; Fuzzy logic; Engineering; Algorithm; Artificial intelligence; Mathematics","authors":[{"name":"Zixuan Yu","is_ca":false},{"name":"Mengshi Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005546275961271339,"gpt":0.2365314793908579,"spread":0.2309852034295866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006108225,0.0001030999,0.0003481783,0.0006755149,0.00003266013,0.000008375177,0.0001134242,0.0001383149,0.000001143715],"category_scores_gemma":[0.0000524402,0.00008764736,0.00005260456,0.0006208742,0.00003841989,0.00003236151,0.00003996305,0.0003011204,3.302664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109276,"about_ca_system_score_gemma":0.00002475084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004456627,"about_ca_topic_score_gemma":0.000001992539,"domain_scores_codex":[0.9987856,0.00006756319,0.0004868083,0.0001509227,0.0002757762,0.0002334036],"domain_scores_gemma":[0.9992725,0.0001078526,0.0001957215,0.0001646335,0.0002083845,0.00005092267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001086182,0.000214577,0.00001444519,0.0005637896,0.0006823625,0.0001134643,0.00003255305,0.04109713,0.08024278,0.6983157,0.0002129418,0.1784017],"study_design_scores_gemma":[0.003002693,0.003980319,0.0006989206,0.001096897,0.000216355,0.0009445385,0.0004167205,0.5064887,0.4275252,0.002109772,0.05311188,0.0004080228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04983283,0.01214657,0.9353125,0.0006359822,0.0002338679,0.0003350157,0.000001783383,0.0001023036,0.001399165],"genre_scores_gemma":[0.9961593,0.001300403,0.002378463,0.00000839469,0.00003160292,0.0000156059,8.210489e-7,0.00001308561,0.00009228338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9463265,"threshold_uncertainty_score":0.3574156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385770932","doi":"10.23977/jeeem.2023.060404","title":"Evaluation of Insulation Aging Maintenance Technology for High-voltage Equipment Based on the Internet of Things","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"High voltage; Electrical engineering; Reliability engineering; Internet of Things; Power grid; Voltage; Partial discharge; Power (physics); Power transmission; Engineering; Computer science; Telecommunications; Automotive engineering; Embedded system","authors":[{"name":"Juchen Jia","is_ca":false},{"name":"Lu Zhou","is_ca":false},{"name":"Qixin Yue","is_ca":false},{"name":"Chanqi Ma","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008486804391397876,"gpt":0.2143605820549269,"spread":0.2058737776635291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035294,0.0001309826,0.0002951136,0.0008489157,0.00002174851,0.000006119737,0.0002351014,0.000114969,0.000001486043],"category_scores_gemma":[0.0004218486,0.00009955595,0.00006617123,0.0008700606,0.00004009661,0.00005235709,0.0000331767,0.0002930639,4.739575e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813302,"about_ca_system_score_gemma":0.00002028917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002082031,"about_ca_topic_score_gemma":2.435314e-7,"domain_scores_codex":[0.998769,0.00002315859,0.0004804514,0.0001223476,0.0003263142,0.0002787215],"domain_scores_gemma":[0.9992357,0.0001551253,0.0001827265,0.0001849963,0.0002203373,0.00002111269],"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":[0.0001204627,0.0001164479,0.00004964683,0.0009786161,0.0006670764,0.00001215086,0.0001102207,0.5064733,0.1110884,0.2753019,0.001155789,0.103926],"study_design_scores_gemma":[0.0007728498,0.0005917612,0.0002891922,0.0002906022,0.0001136761,0.000009822314,0.00002517274,0.9306574,0.05815526,0.008131431,0.0008641554,0.00009867642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2983659,0.0007475736,0.6977212,0.001757514,0.0002644785,0.0008126868,0.000001440266,0.0002159245,0.0001133095],"genre_scores_gemma":[0.9981095,0.0002685167,0.001477451,0.0000217962,0.00001217562,0.00007666997,8.563798e-7,0.00001739091,0.00001570273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6997436,"threshold_uncertainty_score":0.4059774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399653553","doi":"10.23977/jeeem.2024.070202","title":"Selective Protection Analysis Method for DC Power Plant Propulsion Systems in Electric Ships","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Engineering Applied Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Propulsion; Electrically powered spacecraft propulsion; Power station; Automotive engineering; Electrical engineering; Power (physics); Engineering; Environmental science; Computer science; Aerospace engineering; Physics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.00675024034539577,"gpt":0.2373828077057672,"spread":0.2306325673603715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009927424,0.0002752979,0.000534602,0.004329705,0.0000395804,0.00008126832,0.0002129681,0.0002566452,0.000001214697],"category_scores_gemma":[0.00007751146,0.0002489386,0.0001526608,0.004173964,0.00001025105,0.0001059689,0.0000279767,0.001301954,0.00000129018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005760676,"about_ca_system_score_gemma":0.00002579645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000081751,"about_ca_topic_score_gemma":0.000001974338,"domain_scores_codex":[0.9981549,0.00003332522,0.0005619706,0.0003010302,0.0002750182,0.0006737172],"domain_scores_gemma":[0.9994906,0.0001494761,0.00005180815,0.0001531162,0.0000647138,0.00009034535],"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":[0.0001079721,0.00006292716,0.000009116563,0.001187539,0.002594878,0.0001653922,0.00005113396,0.8301447,0.1137189,0.02471297,0.0004505678,0.02679391],"study_design_scores_gemma":[0.0003795639,0.0006117088,0.0001713424,0.0001204509,0.0002745879,0.0002153484,0.00001050767,0.9789538,0.013486,0.0004309076,0.005089902,0.0002558626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03035306,0.01108888,0.956357,0.0002219998,0.0002527515,0.00108783,0.000002540639,0.0005513625,0.00008459108],"genre_scores_gemma":[0.9879649,0.001592193,0.009890752,0.000004097462,0.0000722278,0.0003705496,0.000002209683,0.00006849438,0.00003458101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9576119,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386802682","doi":"10.23977/jeeem.2023.060409","title":"Simulation Analysis of Transformer Short Circuit Fault","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Transformer; Short circuit; Electrical engineering; Engineering; MATLAB; Reliability engineering; Computer science; Voltage","authors":[{"name":"Yiying Li","is_ca":false},{"name":"Ying Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007739615993156574,"gpt":0.2182145652979556,"spread":0.2104749493047991,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880929,0.0001175277,0.0003111528,0.001839227,0.00001953432,0.000008489442,0.0001031546,0.0001000502,0.000003390063],"category_scores_gemma":[0.00003159271,0.000114037,0.0001187778,0.002386252,0.00001357694,0.00007811157,0.000004985856,0.0002381149,8.119065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005139969,"about_ca_system_score_gemma":0.000004766448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.084568e-7,"about_ca_topic_score_gemma":5.730381e-7,"domain_scores_codex":[0.9990767,0.000004710699,0.0004049139,0.00008720171,0.0001704171,0.0002560542],"domain_scores_gemma":[0.9996952,0.00008832072,0.00003597912,0.00008602509,0.00004952732,0.00004493085],"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":[0.000007569319,0.0000169429,0.00008691844,0.00005914116,0.001332918,0.00001306728,0.00002491201,0.949674,0.01264186,0.004200302,0.00003344416,0.03190893],"study_design_scores_gemma":[0.0002216835,0.0001890999,0.00584221,0.00001974008,0.0007233326,0.000004983286,0.000005673571,0.984481,0.006142196,0.0003104319,0.001941829,0.0001177787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4128669,0.0007267905,0.5856427,0.00007718463,0.00009340871,0.0001448401,0.000002406093,0.0002034033,0.0002423652],"genre_scores_gemma":[0.9960058,0.003630044,0.0003095016,0.000006442721,0.00001402058,0.000006192533,0.000004526085,0.00001589711,0.000007532583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5853332,"threshold_uncertainty_score":0.4650294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400987401","doi":"10.23977/jeeem.2024.070213","title":"The Impact of New Energy Integration on Traditional Relay Protection Systems and Countermeasures","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Relay; Electric power system; Computer science; Power-system protection; Protective relay; Fault (geology); Stability (learning theory); Reliability engineering; Engineering; Power (physics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.008367910223037383,"gpt":0.2058862214642128,"spread":0.1975183112411754,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002616476,0.000135768,0.0001787655,0.0004990366,0.00004012515,0.00005943175,0.00007842029,0.0001068865,4.038806e-7],"category_scores_gemma":[0.00003470829,0.00009177159,0.00006695896,0.0003583233,0.00001868308,0.00008731192,0.000006916498,0.0004150254,3.180131e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545692,"about_ca_system_score_gemma":0.00001901187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002482817,"about_ca_topic_score_gemma":0.000001244539,"domain_scores_codex":[0.9992208,0.00001765851,0.0003164597,0.00009795299,0.0001669688,0.0001800874],"domain_scores_gemma":[0.9997262,0.00005710687,0.00005844731,0.00008033167,0.00003214733,0.00004573735],"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":[0.0002232928,0.00005115505,0.000004769171,0.0003962218,0.001996384,0.00008113288,0.00008071496,0.1987201,0.1368147,0.1154355,0.006862313,0.5393338],"study_design_scores_gemma":[0.0003575556,0.002096895,0.0002751503,0.0004118863,0.00007065992,0.001196595,0.00001347562,0.9644777,0.0124839,0.00111038,0.0173384,0.0001674442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08897307,0.02198365,0.8871186,0.0002391933,0.0008555295,0.0003193161,0.000001559607,0.0003211011,0.0001879417],"genre_scores_gemma":[0.997481,0.002239622,0.00007225235,0.000001476071,0.0001065208,0.00002112432,3.427568e-7,0.00001902453,0.00005859935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9085079,"threshold_uncertainty_score":0.3742337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400318865","doi":"10.23977/jeeem.2024.070204","title":"Strategy and Practice of Power System Relay Protection under Extreme Weather Conditions","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Relay; Extreme weather; Power (physics); Meteorology; Environmental science; Geography; Climate change; Geology; Oceanography; Physics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.008996743778412185,"gpt":0.2090377595843959,"spread":0.2000410158059837,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969554,0.0001524095,0.0002551303,0.0006863308,0.00002835544,0.00003438324,0.00009687276,0.0001752473,0.000001874531],"category_scores_gemma":[0.0000457779,0.0001311311,0.00004853584,0.0004888644,0.00003589617,0.0001573211,0.00002699585,0.0005236297,0.000001154057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199279,"about_ca_system_score_gemma":0.00001027121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002979693,"about_ca_topic_score_gemma":2.635434e-7,"domain_scores_codex":[0.9991267,0.00001664828,0.000361407,0.0001315753,0.000129589,0.0002340494],"domain_scores_gemma":[0.9996611,0.00006989625,0.00006850059,0.0001170908,0.00004571208,0.00003767335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004972799,0.00006741608,0.000003393368,0.001586989,0.001810629,0.0004256299,0.00007505018,0.02970127,0.1404504,0.7969248,0.0007871261,0.02811752],"study_design_scores_gemma":[0.0029462,0.007269383,0.0008717886,0.003725755,0.001619347,0.02766459,0.002208864,0.6044915,0.04904902,0.008266554,0.290022,0.001864965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1397202,0.06479678,0.7858286,0.001510761,0.0007658923,0.0008621537,0.000004176477,0.002241262,0.004270095],"genre_scores_gemma":[0.9964789,0.001993782,0.001394553,0.000004359641,0.00002094056,0.00002488971,2.02084e-7,0.00002636084,0.00005605223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8567587,"threshold_uncertainty_score":0.534737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390646763","doi":"10.23977/jeeem.2023.060514","title":"Simulation of Iron Core Proton Discrimination Capability in the HADAR Experiment","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cosmic ray; COSMIC cancer database; Core (optical fiber); Proton; Physics; Nuclear physics; Astrophysics","authors":[{"name":"Xiaoyao Ma","is_ca":false},{"name":"Haijin Li","is_ca":false},{"name":"Liwu Liu","is_ca":false},{"name":"Shaozhang Zhao","is_ca":false},{"name":"Shang Sun","is_ca":false},{"name":"Qi Gao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00791720358291074,"gpt":0.2458018644608651,"spread":0.2378846608779543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003219565,0.00007838682,0.0001434657,0.0002777103,0.00002515555,0.000008206662,0.0001129043,0.00003734635,0.00000156157],"category_scores_gemma":[0.0000263809,0.00005809333,0.00004315172,0.0004670525,0.00001717823,0.00004389357,0.00002215552,0.0002503661,3.422357e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003957708,"about_ca_system_score_gemma":0.000007913044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008805036,"about_ca_topic_score_gemma":6.636876e-7,"domain_scores_codex":[0.9993647,0.00001726468,0.0002341107,0.00008240983,0.0001348712,0.0001665904],"domain_scores_gemma":[0.9996863,0.00008241188,0.00009773375,0.00009164319,0.00002682062,0.00001508966],"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":[0.000128472,0.0004657471,0.006923914,0.000238275,0.0001791166,0.00002820104,0.0008327173,0.792659,0.01933766,0.1345569,0.00009787318,0.04455215],"study_design_scores_gemma":[0.0006849781,0.0005335804,0.006047641,0.00003828423,0.0000480402,0.00000480233,0.0003975324,0.979943,0.006613745,0.004998111,0.0005722964,0.0001180014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954889,0.00007590968,0.04417735,0.0004074006,0.00002889082,0.0003437305,5.000342e-7,0.00001889889,0.00005833094],"genre_scores_gemma":[0.9995071,0.00004373253,0.0003778945,0.000004633747,0.00001682639,0.00003116968,0.00000194324,0.000005704301,0.00001093742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.187284,"threshold_uncertainty_score":0.2368977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396768245","doi":"10.23977/jeeem.2024.070115","title":"Urban Electricity Consumption Forecasting Based on SARIMA and Random Forest Modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Electricity; Consumption (sociology); Random forest; Environmental science; Computer science; Engineering; Artificial intelligence; Electrical engineering","authors":[{"name":"Sijian Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01742188322002824,"gpt":0.2500048113641465,"spread":0.2325829281441182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036448,0.0001503065,0.0002103465,0.0004141666,0.00007476411,0.00004737643,0.0001183962,0.0001289484,0.00001644439],"category_scores_gemma":[0.0002365938,0.0001309394,0.00005268599,0.0004257082,0.00003513651,0.00008875804,0.00005031622,0.0006742773,0.000003009158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923033,"about_ca_system_score_gemma":0.00001003606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004756427,"about_ca_topic_score_gemma":0.000001402451,"domain_scores_codex":[0.998846,0.00004674695,0.0003192516,0.0002288822,0.0002564432,0.0003026994],"domain_scores_gemma":[0.9995194,0.0002356471,0.00006721987,0.0001012887,0.00001197682,0.00006448007],"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":[0.0002669701,0.00009352217,0.001523143,0.0002017402,0.0001830148,0.0002075636,0.00004752819,0.7815651,0.009402038,0.01873651,0.001079791,0.186693],"study_design_scores_gemma":[0.0005963415,0.0005478686,0.0002030005,0.00006617002,0.00008066648,0.0001436968,0.000001353147,0.994126,0.0008416358,0.002211665,0.001056041,0.000125583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1673313,0.001197298,0.8301764,0.0006339796,0.00008070737,0.0002072288,1.704816e-7,0.0001013551,0.0002715701],"genre_scores_gemma":[0.9649487,0.0007232855,0.03411153,0.0001138076,0.00003572768,0.00001363593,3.542071e-7,0.0000177493,0.0000351999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7976174,"threshold_uncertainty_score":0.5339555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402102389","doi":"10.23977/jeeem.2024.070220","title":"Research on Control Strategies for Improving the Minimum Turning Diameter in Pure Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Control (management); Automotive engineering; Materials science; Computer science; Engineering; Artificial intelligence","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0165726262389801,"gpt":0.262260955672596,"spread":0.2456883294336159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002022051,0.0001337042,0.0002325187,0.0008448955,0.00009213277,0.0001934994,0.0002881971,0.00009899055,0.000003581526],"category_scores_gemma":[0.0001584393,0.00008126751,0.00006810877,0.0006841701,0.00004301266,0.0001217862,0.00003797716,0.0008601588,0.000003387516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009544424,"about_ca_system_score_gemma":0.00005133064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004488089,"about_ca_topic_score_gemma":0.000001542908,"domain_scores_codex":[0.9986093,0.0000815624,0.0003234519,0.0002106576,0.0002531798,0.0005218384],"domain_scores_gemma":[0.9992349,0.0005025901,0.00005007675,0.0001176762,0.00005816648,0.00003656641],"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":[0.0001901096,0.0000335525,0.000002888262,0.0002042465,0.00006455228,0.00007012685,0.00005374944,0.002956836,0.9063427,0.06203044,0.0003208817,0.02772992],"study_design_scores_gemma":[0.00271142,0.01076114,0.0004817183,0.0006212578,0.0002635374,0.0004901466,0.0005505268,0.3918943,0.5346963,0.03735834,0.019433,0.000738336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171447,0.01556517,0.06332915,0.002928952,0.0002244544,0.0005881893,8.143926e-7,0.0001047066,0.0001139189],"genre_scores_gemma":[0.9985826,0.0004539432,0.000634409,0.0000662336,0.000098834,0.00007390747,1.116141e-7,0.00001874845,0.00007120811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3889375,"threshold_uncertainty_score":0.373701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400319029","doi":"10.23977/jeeem.2024.070207","title":"Research on Optimization Scheduling Technology Based on Distributed Power Cluster Model and Advanced Algorithms","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Cluster (spacecraft); Distributed computing; Algorithm; Mathematical optimization; Mathematics; Computer network","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.008127024255200607,"gpt":0.2495860037478546,"spread":0.2414589794926539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004164,0.0002177573,0.0002879977,0.002552709,0.00006695518,0.00006281999,0.0002076376,0.0003108991,0.000001162191],"category_scores_gemma":[0.00008405303,0.0001886315,0.00004743382,0.001373811,0.00005766698,0.00008677538,0.00005797287,0.001360771,0.000001536841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147415,"about_ca_system_score_gemma":0.00001649475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.292932e-7,"about_ca_topic_score_gemma":8.434592e-8,"domain_scores_codex":[0.9986814,0.00001319126,0.0003019619,0.0002569642,0.000251793,0.0004946847],"domain_scores_gemma":[0.999544,0.00009513675,0.00003415158,0.0002018417,0.00006568528,0.00005923803],"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":[0.00002737652,0.00002949846,0.000001062959,0.0001031797,0.00009901333,0.00008814622,0.000003794848,0.9430836,0.0008944307,0.02814118,0.000224001,0.02730467],"study_design_scores_gemma":[0.0004190858,0.000854863,0.000008093509,0.0002963775,0.00002250755,0.00008440907,0.00002086866,0.9925123,0.002372934,0.0009191199,0.002318292,0.0001711656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03886883,0.004862085,0.952559,0.00199285,0.0001861546,0.0002914573,0.000002629916,0.001028669,0.0002083261],"genre_scores_gemma":[0.9653607,0.001831824,0.03265637,0.00002100264,0.00002010746,0.00004471485,0.000001201555,0.00004413215,0.00001996289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9264919,"threshold_uncertainty_score":0.769217,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321505392","doi":"10.23977/jeeem.2023.060103","title":"Summary of Silicon and InGaN/GaN Solar Cells","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Materials science; Solar cell; Renewable energy; Quantum dot solar cell; Semiconductor; Optoelectronics; Engineering physics; Nanowire; Solar energy; Silicon; Energy conversion efficiency; Hybrid solar cell; Nanotechnology; Polymer solar cell; Electrical engineering; Engineering","authors":[{"name":"Xinyun Chi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003322548290455452,"gpt":0.1771646035903287,"spread":0.1738420552998733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957965,0.0001159132,0.0002428398,0.0006136905,0.00002732005,0.000009697596,0.0001192769,0.00009012714,0.000001313741],"category_scores_gemma":[0.00001967677,0.0001096532,0.00004357998,0.0006546034,0.00002416406,0.00004312714,0.00002999798,0.0002807324,0.000001407409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749485,"about_ca_system_score_gemma":0.000004992118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.999195e-7,"about_ca_topic_score_gemma":2.387189e-7,"domain_scores_codex":[0.9992629,0.00000632552,0.0002902446,0.00009545106,0.0000968679,0.0002481716],"domain_scores_gemma":[0.9997073,0.00005779842,0.00005548136,0.0001055234,0.0000219223,0.00005194634],"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":[0.00001250398,0.00004155902,0.00003414091,0.000306478,0.0003320634,0.00004441201,0.00003004145,0.01294992,0.8502613,0.009489297,0.002303603,0.1241947],"study_design_scores_gemma":[0.0007132269,0.0005038755,0.00119114,0.000142615,0.0001657715,0.0001318779,0.00003513761,0.1437588,0.7995284,0.001508213,0.05194683,0.0003741317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626503,0.004983443,0.03004669,0.0007785449,0.0001469189,0.0003327746,0.000002410899,0.0005543701,0.0005045367],"genre_scores_gemma":[0.9854274,0.01348719,0.0009784853,0.000009205447,0.00002632076,0.00001134413,4.37955e-7,0.00002228992,0.00003735685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308089,"threshold_uncertainty_score":0.4471529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947256748","doi":"10.23977/jeeem.2019.21001","title":"A Utility Model Relates to a Multi-Input Port High-Gain DC-DC Converter for Photovoltaic Power Generation System","year":2019,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Boost converter; Forward converter; Electronic engineering; Flyback converter; Charge pump; Electrical engineering; Power (physics); Engineering; Ćuk converter; Voltage; Computer science; Control theory (sociology); Capacitor; Physics; Control (management)","authors":[{"name":"Chaolan Zhang","is_ca":false},{"name":"Yingqian Yu","is_ca":false},{"name":"Ruiming Yu","is_ca":false},{"name":"Lepeng Chen","is_ca":false},{"name":"Jialan Pan","is_ca":false},{"name":"Jingya Zeng","is_ca":false},{"name":"Yuhao Deng","is_ca":false},{"name":"Zhan Chen","is_ca":false},{"name":"Zhiyu Shang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005852460595461339,"gpt":0.1940430309974349,"spread":0.1881905704019735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002531436,0.0002761352,0.000468006,0.0006051202,0.00003933439,0.00002419946,0.0002106734,0.0002005083,0.000003470694],"category_scores_gemma":[0.00003903274,0.0002692333,0.000108152,0.0003591527,0.00001255274,0.0001362598,0.0000446867,0.0004753782,0.000006670128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988414,"about_ca_system_score_gemma":0.00001832431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000200511,"about_ca_topic_score_gemma":0.000001057376,"domain_scores_codex":[0.9984796,0.00001013545,0.0005209357,0.0002772741,0.0001768753,0.0005351726],"domain_scores_gemma":[0.9994075,0.00003679084,0.00009357603,0.0002509267,0.00008829712,0.0001228578],"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":[0.0002001798,0.0001072629,0.00006791763,0.0005272026,0.0008857589,0.00007685772,0.0000904871,0.2796041,0.6540847,0.01959806,0.001265902,0.04349161],"study_design_scores_gemma":[0.001234721,0.0004274139,0.00006329112,0.00005513148,0.00007265467,0.0000917829,0.00001519805,0.9780088,0.01842988,0.00008063296,0.00125664,0.0002638547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1555152,0.0004627549,0.8426272,0.0001419821,0.0002449988,0.000702723,0.000002002593,0.0002864123,0.0000166944],"genre_scores_gemma":[0.9612721,0.0001682811,0.03818166,0.00007957056,0.0000318608,0.00007480996,0.000002246589,0.00005548284,0.000133991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8057569,"threshold_uncertainty_score":0.999976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386802826","doi":"10.23977/jeeem.2023.060407","title":"Ground fault analysis based on MATLAB-GUI","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"MATLAB; Ground; Fault (geology); Computer science; Power (physics); Reliability engineering; Quality (philosophy); Real-time computing; Embedded system; Engineering; Operating system; Electrical engineering","authors":[{"name":"Yi Shanhan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004246528609052159,"gpt":0.1895886051064332,"spread":0.185342076497381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834774,0.000206111,0.0004134639,0.002823233,0.00004229833,0.00003346894,0.0002732237,0.0001794103,0.00000352967],"category_scores_gemma":[0.00005157094,0.0001815386,0.0001435553,0.003206975,0.00002238653,0.00005352281,0.00003668784,0.0005446307,0.000009123459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188782,"about_ca_system_score_gemma":0.000006209013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000190113,"about_ca_topic_score_gemma":7.51616e-7,"domain_scores_codex":[0.9987552,0.000009686029,0.0003748094,0.0001630568,0.0002271331,0.0004701203],"domain_scores_gemma":[0.9995341,0.0000653086,0.00007019193,0.0002368173,0.00003143764,0.00006219754],"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":[0.00004468728,0.00008396045,0.0001575135,0.0002764887,0.00341355,0.000818888,0.00001804244,0.882933,0.007168564,0.04018494,0.006554214,0.05834617],"study_design_scores_gemma":[0.0006549698,0.0006585724,0.002339768,0.0000568733,0.0004086072,0.00006876798,0.00001975651,0.9652583,0.0038441,0.000794191,0.02555845,0.0003376286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4904486,0.003629847,0.4938992,0.002587622,0.0008015299,0.0006186605,0.000004618052,0.006057661,0.001952257],"genre_scores_gemma":[0.9972057,0.001274676,0.001329069,0.00002977418,0.00003188102,0.00002306139,0.000001509028,0.00002887666,0.00007546117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5067571,"threshold_uncertainty_score":0.7402928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396895322","doi":"10.23977/jeeem.2024.070117","title":"Case Study Analysis of Equipment Fault Diagnosis for Course of Mechanical Measurement Technology","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Course (navigation); Fault (geology); Engineering; Reliability engineering; Computer science; Geology; Seismology; Aerospace engineering","authors":[{"name":"Chunhua Feng","is_ca":false},{"name":"Binbin Deng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0167988244836289,"gpt":0.288527934923239,"spread":0.2717291104396101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017558,0.0001740053,0.0005515747,0.00257703,0.00004379834,0.00001891292,0.0005360675,0.000158072,0.00000174181],"category_scores_gemma":[0.00009683789,0.0001468856,0.0001819671,0.003071038,0.00004615854,0.00008763159,0.0001577528,0.0003984205,1.210309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513137,"about_ca_system_score_gemma":0.00008679672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000399554,"about_ca_topic_score_gemma":0.000003385956,"domain_scores_codex":[0.9983736,0.00002463981,0.0006871136,0.0002959221,0.0003174565,0.0003013136],"domain_scores_gemma":[0.9989886,0.0001591923,0.0002239144,0.0003142603,0.0002646641,0.00004940679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003587252,0.002384676,0.0005163415,0.0003319205,0.01456672,0.0013885,0.0001509185,0.004100836,0.009075474,0.8046119,0.0003696,0.1624672],"study_design_scores_gemma":[0.003948345,0.02496865,0.001216343,0.0006298273,0.01333812,0.005375379,0.001833943,0.6957752,0.1971277,0.04652841,0.00796827,0.001289864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2657835,0.004195109,0.726479,0.002794215,0.0001543353,0.0004633309,0.000001604896,0.0001241939,0.00000474648],"genre_scores_gemma":[0.9728841,0.0005900914,0.02626846,0.00001096615,0.0000122724,0.0002192953,2.705867e-7,0.000009201464,0.000005396821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7580835,"threshold_uncertainty_score":0.5989823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379793344","doi":"10.23977/jeeem.2023.060306","title":"Research and Application of Power Distribution Model Based on Simulated Annealing Method","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Simulated annealing; Mathematical optimization; Power (physics); Tree traversal; Control theory (sociology); Mathematics; Computer science; Algorithm; Control (management); Physics","authors":[{"name":"Yu Cao","is_ca":false},{"name":"Zhiyuan Wang","is_ca":false},{"name":"Xin Wang","is_ca":false},{"name":"X. F. Zhang","is_ca":false},{"name":"Maosong Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01083947560486481,"gpt":0.2722281868066104,"spread":0.2613887112017456,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009774179,0.0001148821,0.0002614565,0.0008907299,0.00005343372,0.000008908444,0.0001351689,0.0002651359,3.121085e-7],"category_scores_gemma":[0.00008152436,0.0001084276,0.00003404185,0.001200222,0.00003408234,0.00003405744,0.00002574383,0.0007389076,7.98893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008829946,"about_ca_system_score_gemma":0.000009271324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001697447,"about_ca_topic_score_gemma":1.226071e-7,"domain_scores_codex":[0.9989963,0.00002528983,0.0003315655,0.0001314706,0.0001859021,0.0003295394],"domain_scores_gemma":[0.9995302,0.0001393247,0.0000641619,0.0001397132,0.00008541006,0.0000412155],"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":[0.00006524019,0.00002126908,0.000008976246,0.00005802422,0.00009615722,0.00001349813,0.000005207522,0.9244666,0.02046219,0.03204747,0.0002065047,0.02254891],"study_design_scores_gemma":[0.0005726447,0.0005131533,0.00006332831,0.00004038549,0.00002242478,0.00001473875,0.000009580056,0.9859555,0.01010098,0.001868873,0.0007553441,0.00008304478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052223,0.0005428463,0.8929548,0.0004968692,0.00005069479,0.0003061207,0.000002347279,0.000338467,0.0000855652],"genre_scores_gemma":[0.998498,0.0003152608,0.001116687,0.000005886338,0.00001667524,0.00001694072,0.000002422914,0.00001664186,0.00001152845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8932756,"threshold_uncertainty_score":0.4421551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388510383","doi":"10.23977/jeeem.2023.060508","title":"The Seamless Collaborative Operation Technology of Integrating Equipment Control for Intelligent Laser Welding Assembly Unit","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Welding; Sorting; Process (computing); Computer science; Quality (philosophy); Laser beam welding; sort; Reliability (semiconductor); Data quality; Engineering drawing; Manufacturing engineering; Reliability engineering; Engineering; Database; Mechanical engineering; Operations management","authors":[{"name":"Yue Gong","is_ca":false},{"name":"Zhen Liu","is_ca":false},{"name":"Yang Jing","is_ca":false},{"name":"Zhang Jiang","is_ca":false},{"name":"Ma Zhantao","is_ca":false},{"name":"马旭颐 Ma Xuyi","is_ca":false},{"name":"Lu Wei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005253201680463058,"gpt":0.2210604874590175,"spread":0.2158072857785544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970152,0.0001455974,0.0002538358,0.0006357484,0.0001070662,0.00003467077,0.0001963489,0.0001196628,7.057009e-7],"category_scores_gemma":[0.0001213556,0.0001102055,0.00004455453,0.0009473049,0.00002718391,0.00006580161,0.00003181397,0.0003140997,4.560322e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007746925,"about_ca_system_score_gemma":0.00001733312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.469954e-7,"about_ca_topic_score_gemma":0.000001146639,"domain_scores_codex":[0.9990056,0.00001144734,0.0004303401,0.0001079773,0.0001279893,0.0003166932],"domain_scores_gemma":[0.9994537,0.0001429406,0.0001240576,0.0000992336,0.0001473397,0.00003270774],"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":[0.0000580658,0.00001944724,0.0000174345,0.0001915584,0.0003851801,0.000008492856,0.00004552599,0.8919975,0.008537259,0.03086668,0.0002587712,0.06761406],"study_design_scores_gemma":[0.0009397505,0.0007659315,0.00003569793,0.0001132803,0.0001020282,0.00002375271,0.0002537084,0.7689577,0.2131545,0.001416118,0.01403669,0.0002008486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06628352,0.00151612,0.9301119,0.001087219,0.0001828539,0.000517612,0.000001692775,0.0002535096,0.00004551567],"genre_scores_gemma":[0.989046,0.005002064,0.005750476,0.00001090935,0.00003097384,0.00009516921,0.000001678912,0.00002512694,0.00003754668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9243615,"threshold_uncertainty_score":0.449405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362461275","doi":"10.23977/jeeem.2023.060106","title":"Numerical simulation of effect of carrier gas on flow state in laser isotope separation","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Isotope separation; Nozzle; Separation (statistics); Jet (fluid); Mechanics; Laser; Flow (mathematics); Isotope; Condensation; Computer simulation; Volumetric flow rate; Computational fluid dynamics; Fluid dynamics; Materials science; Chemistry; Physics; Atomic physics; Thermodynamics; Nuclear physics; Optics; Computer science","authors":[{"name":"Jia Ma","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003829400938755719,"gpt":0.2249563036475534,"spread":0.2211269027087977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002518967,0.000109735,0.0002669327,0.0006488183,0.00001077464,0.00000416419,0.00008841164,0.000072321,0.000001623996],"category_scores_gemma":[0.00004085853,0.00009702685,0.00004720497,0.0009483407,0.00001164086,0.00004329295,0.00001104689,0.0002639851,0.000001485511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005946547,"about_ca_system_score_gemma":0.000005377424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002003553,"about_ca_topic_score_gemma":3.205378e-7,"domain_scores_codex":[0.9992202,0.00001978599,0.0003464498,0.00008601654,0.0001312071,0.0001963412],"domain_scores_gemma":[0.9996567,0.0001202085,0.00006744141,0.00009836427,0.00002484106,0.00003239259],"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":[0.00005650023,0.00001981035,0.0000459629,0.0001019235,0.00006718949,0.00001267765,0.00001437045,0.9706198,0.01572323,0.0003954836,0.0001966185,0.01274644],"study_design_scores_gemma":[0.0005457345,0.0006927118,0.0004349258,0.00004205681,0.00002542086,0.000005614664,0.000001152358,0.8855692,0.1116795,0.0003470413,0.0005794236,0.00007718154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882057,0.0001986446,0.1170499,0.0001230673,0.0000525521,0.0003188982,0.000002046277,0.0001286167,0.00006930496],"genre_scores_gemma":[0.9990772,0.0004864683,0.0003582951,0.000004719824,0.00001163271,0.00002048225,0.000001725415,0.00001543938,0.00002401624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170202,"threshold_uncertainty_score":0.395664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386802794","doi":"10.23977/jeeem.2023.060501","title":"Simulation Study on Conducted Emission from Power Line of Three-phase Three-level Inverter","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"High-Voltage Power Transmission Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Inverter; Electromagnetic compatibility; Waveform; Electronic engineering; Engineering; Compatibility (geochemistry); Time domain; Computer science; Electrical engineering; Voltage","authors":[{"name":"Yang Teng","is_ca":false},{"name":"Yiyi Liu","is_ca":false},{"name":"Chunlei Wang","is_ca":false},{"name":"Meiyuan Chen","is_ca":false},{"name":"Guanghao Wu","is_ca":false},{"name":"Qionggang Luo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02518633125250103,"gpt":0.2631850330905117,"spread":0.2379987018380106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003079122,0.0002447227,0.0004838699,0.001040548,0.00003556938,0.00001585577,0.0002351664,0.0001811516,0.00001139223],"category_scores_gemma":[0.00008772914,0.0002083347,0.00008263037,0.001047534,0.00001734408,0.00008113257,0.00003608278,0.0006050766,0.00000624771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008156861,"about_ca_system_score_gemma":0.0000110087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004658726,"about_ca_topic_score_gemma":0.000001114214,"domain_scores_codex":[0.9983936,0.00002139553,0.0006772038,0.0002024619,0.0003551036,0.0003502329],"domain_scores_gemma":[0.9992843,0.0001613969,0.0001259378,0.0002435994,0.00007821443,0.000106507],"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":[0.000293712,0.0006019294,0.0003303885,0.0001486361,0.001325871,0.0003799514,0.0002071437,0.4781099,0.4883432,0.0005581231,0.0008773368,0.02882376],"study_design_scores_gemma":[0.003210051,0.002673703,0.002419191,0.0001679096,0.0001304939,0.00001297404,0.00004199471,0.9637406,0.02550941,0.00031141,0.001506599,0.000275594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7030784,0.0003848815,0.2955178,0.0001159531,0.0001943562,0.0003623187,0.000003756657,0.0003233491,0.00001921345],"genre_scores_gemma":[0.9992478,0.0001118258,0.0004997329,0.00001037634,0.00004119203,0.00001425928,0.00000320007,0.00004553041,0.00002611264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4856308,"threshold_uncertainty_score":0.8495641,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3080214325","doi":"10.23977/jeeem.2019.21002","title":"Simulation and Experiment of Power Generation System of Cage Asynchronous Motor","year":2019,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Overshoot (microwave communication); Torque; Power (physics); Voltage; Stability (learning theory); Rotational speed; Computer science; Engineering; Control (management); Electrical engineering","authors":[{"name":"Donglong Wang","is_ca":false},{"name":"Jincheng Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002203145244901002,"gpt":0.1696083459494552,"spread":0.1674052007045542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001178557,0.00009806055,0.0002483356,0.000327201,0.00001019379,0.000006251809,0.00005799459,0.0000809695,0.000002530905],"category_scores_gemma":[0.00001079717,0.0000916495,0.00003502481,0.0001561868,0.00000929521,0.00005664073,0.00001475259,0.0001290356,2.486732e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007153855,"about_ca_system_score_gemma":0.00000485146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.933558e-7,"about_ca_topic_score_gemma":8.161408e-8,"domain_scores_codex":[0.9993473,0.000007902259,0.0003341371,0.00007767773,0.00009650394,0.0001365271],"domain_scores_gemma":[0.999715,0.00002325161,0.0001043546,0.00008196515,0.00004896974,0.00002643209],"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":[0.00002230752,0.00001752516,0.0000187929,0.0001595216,0.0001411812,0.000003520746,0.0000232409,0.7224125,0.2668903,0.00458282,0.000008335926,0.005719889],"study_design_scores_gemma":[0.0005712552,0.0005450774,0.0001525683,0.00004424227,0.00004295936,0.00002237651,0.00001278727,0.9546463,0.04361155,0.00001058671,0.0002597226,0.0000805408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7031426,0.007531737,0.2888376,0.00002120993,0.0001074573,0.0002479269,5.724912e-7,0.00005700972,0.0000538709],"genre_scores_gemma":[0.9953247,0.0008234558,0.003806953,0.000002605759,0.00001861296,0.00000461302,5.30473e-7,0.00001252163,0.000005950979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2921821,"threshold_uncertainty_score":0.3737358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3056739679","doi":"10.23977/jeeem.2020.030102","title":"Research on the Influence of Inventory Management on Management Accounting","year":2020,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Management accounting; Checklist; Accounting; Accounting management; Business; Cost accounting; Position (finance); Accounting information system; Financial management; Process management; Digital firm; Finance; Psychology","authors":[{"name":"Peng Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01382374536173953,"gpt":0.2244431632512783,"spread":0.2106194178895388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427148,0.0002986839,0.000374105,0.001552336,0.0002331978,0.0001321315,0.0009179368,0.0001050769,0.00001736052],"category_scores_gemma":[0.0001920794,0.0002296881,0.0001084204,0.002764735,0.0001037523,0.0002678884,0.0005119793,0.0009518558,0.00005288973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173749,"about_ca_system_score_gemma":0.000009376238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005417515,"about_ca_topic_score_gemma":2.910393e-7,"domain_scores_codex":[0.9972672,0.00003035612,0.0006825401,0.0003954432,0.001010336,0.0006140611],"domain_scores_gemma":[0.998801,0.0001338649,0.0004274095,0.0003287007,0.0002711828,0.00003785228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001950911,0.0001924525,0.0002955718,0.0007603933,0.0005418475,0.0001738008,0.00001829414,0.03221603,0.0004007691,0.9499144,0.007175621,0.008115745],"study_design_scores_gemma":[0.009771593,0.004488504,0.06608491,0.004046682,0.002141752,0.0000944575,0.002736529,0.09922286,0.004968479,0.05471801,0.7484378,0.003288385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954181,0.0005253444,0.00423395,0.02347473,0.00023384,0.001446358,7.271311e-7,0.0002927449,0.01561135],"genre_scores_gemma":[0.9949778,0.0007288121,0.0005623258,0.003234354,0.0003032938,0.00003927504,0.000001138134,0.00004793033,0.0001050463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8951964,"threshold_uncertainty_score":0.9366409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313012246","doi":"10.23977/jeeem.2022.050207","title":"Comparative Analysis of Simulation and Analysis of Bubble Motion Characteristics in Transformer Oil Based on Horizontal Set Method and Phase Field Method","year":2022,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Bubble; Transformer; Mechanics; Transformer oil; Simulation; Computer science; Voltage; Engineering; Physics; Electrical engineering","authors":[{"name":"Luyuan Wang","is_ca":false},{"name":"Tiansheng Sun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009648130117759121,"gpt":0.2843361914931465,"spread":0.2746880613753874,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004164292,0.0001156781,0.0005615689,0.002396673,0.00002585039,0.000006233678,0.00005526219,0.00006186209,0.000005650201],"category_scores_gemma":[0.00002579693,0.0001179525,0.00008417407,0.001855298,0.000009732787,0.00004972894,0.00000771867,0.0003067176,8.340522e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006686692,"about_ca_system_score_gemma":0.000005450303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007360787,"about_ca_topic_score_gemma":0.000002671827,"domain_scores_codex":[0.999104,0.00003699274,0.0004452103,0.0001144869,0.0001526876,0.0001466397],"domain_scores_gemma":[0.9994941,0.0002639518,0.0001097174,0.00006784851,0.00003198108,0.00003238181],"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":[0.0001219817,0.0001012508,0.0002119182,0.00006141268,0.001804184,0.000005489111,0.00009301189,0.9371554,0.009905616,0.0009039272,0.000001970727,0.04963382],"study_design_scores_gemma":[0.0007788552,0.0009914252,0.005198015,0.00001247451,0.002154126,0.00000260184,0.00001684287,0.9841233,0.006438497,0.00004615263,0.0001445161,0.00009311966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3155422,0.0002835904,0.6839958,0.00005162286,0.00001614997,0.00006171155,0.00001267113,0.00001140305,0.00002480893],"genre_scores_gemma":[0.9940402,0.0006323202,0.005279614,0.00001214932,0.000003275632,0.000009688702,0.00001537248,0.000006216049,0.000001169662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6787162,"threshold_uncertainty_score":0.4809965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387884008","doi":"10.23977/jeeem.2023.060506","title":"Design and Optimization of Thermal Instruments: Comparing Traditional and Modern Technologies","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Thermal power station; Pipeline transport; Reliability (semiconductor); Engineering; Process (computing); Thermal; Measuring instrument; Power (physics); Mechanical engineering; Computer science; Electrical engineering","authors":[{"name":"Yanan Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01162003408340921,"gpt":0.1958839679518234,"spread":0.1842639338684142,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009750453,0.00009594469,0.0001757191,0.0004015669,0.00003449174,0.000009709525,0.00007208759,0.00006872602,3.389779e-7],"category_scores_gemma":[0.00001245208,0.00009123639,0.00001473907,0.0003702864,0.00003881958,0.00007652002,0.00002545738,0.0002142582,9.954952e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002469532,"about_ca_system_score_gemma":0.000003102868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.91665e-7,"about_ca_topic_score_gemma":2.637072e-8,"domain_scores_codex":[0.9994622,0.000004031661,0.0002046555,0.000086024,0.00007576014,0.0001673328],"domain_scores_gemma":[0.9998187,0.00003344119,0.0000488786,0.00005681569,0.00001840635,0.00002376451],"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":[0.000006428932,0.00001233657,0.00001084193,0.00004590424,0.00008618706,0.000004732632,0.00001030314,0.8902665,0.01514124,0.006690685,0.00001371516,0.08771116],"study_design_scores_gemma":[0.0003162815,0.0001469873,0.0001852405,0.00002654168,0.00002649645,0.00006166265,0.00001333951,0.9877979,0.007754296,0.003510231,0.00007811415,0.00008295559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1162088,0.001131126,0.8820736,0.0001768882,0.00001732425,0.000122444,4.175186e-7,0.0002540039,0.00001533662],"genre_scores_gemma":[0.9133852,0.006545512,0.08002189,0.000002864912,0.000008337016,0.00001942147,8.496728e-7,0.00001344273,0.000002494635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8020518,"threshold_uncertainty_score":0.3720512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392399915","doi":"10.23977/jeeem.2024.070104","title":"Improvement of partial voltage accuracy of photomultiplier bias circuit in life science instrument","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Photomultiplier; Electrical engineering; Computer science; Optoelectronics; Physics; Engineering; Detector","authors":[{"name":"Rui Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01703431054356797,"gpt":0.2242822275412219,"spread":0.2072479169976539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198538,0.0001611435,0.0003808821,0.001981369,0.00003131306,0.00003081901,0.0007668398,0.0001218053,0.000001360878],"category_scores_gemma":[0.0003443889,0.0001394617,0.00007854733,0.001997203,0.0001184511,0.0002440691,0.0001010604,0.0005076468,6.771062e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671306,"about_ca_system_score_gemma":0.0001299736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009238574,"about_ca_topic_score_gemma":5.132724e-7,"domain_scores_codex":[0.9980511,0.00001389275,0.0007665809,0.0002934539,0.0004431457,0.0004318468],"domain_scores_gemma":[0.9991857,0.00008593144,0.0002583745,0.0003021835,0.00009299273,0.00007484476],"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":[0.00002113155,0.0001332081,0.0001589078,0.0002431943,0.0001609587,0.00008131631,0.00006855839,0.0005807925,0.7482996,0.1581796,0.00003571516,0.09203701],"study_design_scores_gemma":[0.0009050591,0.001357588,0.0007433314,0.0003284425,0.00004668806,0.0001312014,0.00002678087,0.06531712,0.9270832,0.001989401,0.001867626,0.0002035627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6845322,0.003200506,0.3105703,0.0006300443,0.0004001306,0.0004396166,4.35312e-7,0.0001401358,0.00008660107],"genre_scores_gemma":[0.9972963,0.0007867082,0.00183834,0.00002441855,0.00001755075,0.0000175874,7.088909e-8,0.000008386045,0.0000106265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3127641,"threshold_uncertainty_score":0.5687084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390284166","doi":"10.23977/jeeem.2023.060512","title":"Electric Vehicle Performance Simulation under Parameter Variations","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Acceleration; Electric vehicle; Automotive engineering; Electric cars; Electric power; Power (physics); Computer science; Simulation; Engineering; Physics","authors":[{"name":"T. Jin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007083058760901809,"gpt":0.2099251510876866,"spread":0.2028420923267848,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109481,0.0001400944,0.0001906418,0.0007971244,0.00007119189,0.00002194159,0.0001397294,0.0001123826,0.000005100748],"category_scores_gemma":[0.00003117026,0.0001296479,0.00004744093,0.001443768,0.00000971139,0.000134516,0.00002570581,0.0004561207,0.00001120258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008693663,"about_ca_system_score_gemma":0.000009355321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.409072e-7,"about_ca_topic_score_gemma":6.90219e-8,"domain_scores_codex":[0.9990371,0.000008031046,0.0003070793,0.0001065485,0.0001534776,0.0003877703],"domain_scores_gemma":[0.999633,0.00008775952,0.00005165399,0.0001210288,0.00003921639,0.00006733638],"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":[0.00001179726,0.00001572458,0.00007976616,0.00006032113,0.000117507,0.00001431161,0.00001015938,0.9224007,0.01536417,0.002453246,0.0003488271,0.05912354],"study_design_scores_gemma":[0.0003145073,0.0002313865,0.005161775,0.0000254005,0.00003610604,0.00004604597,0.000002705855,0.9858643,0.003807642,0.0004526775,0.003915959,0.0001415186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111036,0.0006809022,0.08704494,0.0002738698,0.0001385517,0.0001341883,2.962564e-7,0.0004939284,0.0001297087],"genre_scores_gemma":[0.9948285,0.00398476,0.0009926811,0.00002702009,0.00005346626,0.00001292245,9.027523e-7,0.000025308,0.00007439735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08605226,"threshold_uncertainty_score":0.5286887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386802691","doi":"10.23977/jeeem.2023.060502","title":"Research on the Law of Electric Water Conversion Coefficient in Typical Wells of Chayou Middle Banner","year":2023,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Irrigation; Electricity; Environmental science; Water use; Water-use efficiency; Yield (engineering); Water efficiency; Farm water; Electric power; Water conservation; Environmental engineering; Power (physics); Materials science; Engineering; Agronomy; Electrical engineering","authors":[{"name":"Han Zikang","is_ca":false},{"name":"Qu Rong","is_ca":false},{"name":"Xiaoyan Li","is_ca":false},{"name":"Ma Jun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03117463001777078,"gpt":0.2589309700255039,"spread":0.2277563400077331,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651011,0.0001139054,0.0002510163,0.0007791406,0.00005051945,0.000007132998,0.0004583121,0.0001401904,0.00001428348],"category_scores_gemma":[0.000100473,0.00007087606,0.00005191861,0.001630906,0.0001865787,0.00003721703,0.0002833266,0.0007682532,0.00001786101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001456405,"about_ca_system_score_gemma":0.000004588877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002933258,"about_ca_topic_score_gemma":8.017238e-7,"domain_scores_codex":[0.9983922,0.00007747125,0.0004007512,0.0001759365,0.0004499318,0.0005037321],"domain_scores_gemma":[0.9994309,0.0001992893,0.00008342496,0.0002288822,0.0000255292,0.00003197883],"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":[0.0007552447,0.0008734277,0.001452548,0.0003092239,0.0002717837,0.0002792922,0.0003701515,0.03549439,0.6416124,0.3065748,0.005164074,0.006842689],"study_design_scores_gemma":[0.0005967778,0.00195866,0.004033158,0.0001059139,0.00002133153,0.00002597205,0.0001400694,0.01655877,0.9672465,0.004355196,0.004805649,0.0001519707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996102,0.0001003169,0.0004499809,0.002845543,0.00005293575,0.0002196852,2.258023e-7,0.0000551973,0.0001741108],"genre_scores_gemma":[0.9992485,0.000453982,0.0001799673,0.00002036466,0.000009911098,0.00001151605,2.394439e-7,0.0000108154,0.00006467519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3256342,"threshold_uncertainty_score":0.333772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}