{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":33,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":33,"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":"a3f0178d0fd8","filters":{"venue":"IEEE Open Access Journal of Power and Energy"}},"results":[{"id":"W4220817608","doi":"10.1109/oajpe.2022.3161101","title":"Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm","year":2022,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Simon Fraser University","funders":"Engineering and Physical Sciences Research Council; IEEE Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Electricity demand; Competition (biology); Demand forecasting; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Electricity; Economics; Engineering; Electricity generation; Medicine; Virology; Operations management; Power (physics); Infectious disease (medical specialty); Biology","authors":[{"name":"Mostafa Farrokhabadi","is_ca":false},{"name":"Jethro Browell","is_ca":false},{"name":"Yi Wang","is_ca":false},{"name":"Stephen Makonin","is_ca":true},{"name":"Wencong Su","is_ca":false},{"name":"Hamidreza Zareipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03162101866033894,"gpt":0.2813111727339631,"spread":0.2496901540736241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006594959,0.0002002813,0.0003629186,0.0002434944,0.0004485569,0.0005472605,0.0009949289,0.00004659515,0.0005048678],"category_scores_gemma":[0.00003738991,0.0001905663,0.00009696679,0.0003767954,0.00003291476,0.001236327,0.0003163154,0.0003671118,6.507333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126096,"about_ca_system_score_gemma":0.00009731793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001837335,"about_ca_topic_score_gemma":0.0001000594,"domain_scores_codex":[0.9985676,0.0001169916,0.0005152373,0.0001660531,0.000297937,0.0003361303],"domain_scores_gemma":[0.9991674,0.0001510518,0.0002164371,0.0001379726,0.00006949728,0.0002575758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003766431,0.0002023623,0.002633863,0.0001077546,0.0004851036,0.0009940087,0.001537019,0.9246221,0.005243375,0.01685839,0.01668686,0.03025255],"study_design_scores_gemma":[0.006308251,0.002114518,0.002822726,0.0003727819,0.0002650913,0.0117023,0.000776974,0.0855042,0.0173947,0.01353955,0.8569025,0.002296405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679452,0.006449513,0.04264698,0.000785955,0.005026717,0.0001232551,0.0000601577,0.000111042,0.0768512],"genre_scores_gemma":[0.9984382,0.000269811,0.0001908011,0.0006151724,0.0002474486,0.00001024467,0.000009708207,0.0000352276,0.00018335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8402157,"threshold_uncertainty_score":0.7771067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000230823","doi":"10.1109/oajpe.2019.2952811","title":"Optimal Scheduling of Merchant-Owned Energy Storage Systems With Multiple Ancillary Services","year":2020,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Energy storage; Profit (economics); Grid; Scheduling (production processes); Electric power system; Computer science; Reliability engineering; Linear programming; Automotive engineering; Operations research; Engineering; Operations management; Power (physics); Economics","authors":[{"name":"Chandrabhanu Opathella","is_ca":true},{"name":"Ayman Elkasrawy","is_ca":true},{"name":"Amr A. Mohamed","is_ca":true},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01537146525233533,"gpt":0.2380095088033461,"spread":0.2226380435510107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001262887,0.0001605162,0.0004089125,0.00009186745,0.00004762095,0.0003441029,0.000590807,0.00006417038,0.00001745431],"category_scores_gemma":[0.00000548752,0.0001221999,0.00004742783,0.0001907826,0.00002038955,0.001230031,0.00009944367,0.00009858234,2.320355e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001700573,"about_ca_system_score_gemma":0.00003740387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003031676,"about_ca_topic_score_gemma":0.00005449631,"domain_scores_codex":[0.9990817,0.00003201575,0.0004070112,0.0001224858,0.0001894896,0.0001672637],"domain_scores_gemma":[0.9992978,0.00003168287,0.0002267802,0.00009409018,0.000183225,0.0001664151],"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":[0.0002510503,0.00001680889,0.0003095725,0.0001015306,0.0001773659,0.0000405088,0.0002834333,0.9892583,0.007959545,0.00005298913,0.0001431703,0.001405765],"study_design_scores_gemma":[0.002148214,0.0002696585,0.0002057876,0.0002781811,0.00007608861,0.00009430377,0.0004074727,0.9778736,0.01021655,0.000005112435,0.008148978,0.0002760125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6251341,0.0234491,0.3486553,0.0002013995,0.001005925,0.00009869594,0.00002872715,0.00004904195,0.001377639],"genre_scores_gemma":[0.9956582,0.002024226,0.001953914,0.0001316912,0.0001777128,0.000003258335,0.000004028448,0.00002898879,0.00001793492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3705241,"threshold_uncertainty_score":0.4983166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000512700","doi":"10.1109/oajpe.2019.2952812","title":"A Benchmark Distribution System for Investigation of Residential Microgrids With Multiple Local Generation and Storage Devices","year":2020,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Distributed generation; Computer science; Electric power system; Grid; Power (physics); Energy storage; Microgrid; Phase (matter); Distributed computing; Reliability engineering; Engineering; Control (management); Electrical engineering; Renewable energy","authors":[{"name":"Syed A. Raza","is_ca":true},{"name":"Jin Jiang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01628405371796554,"gpt":0.2392938618704076,"spread":0.2230098081524421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295395,0.00008617448,0.0001910529,0.00003755921,0.00005230914,0.0002924158,0.0001618966,0.00004298146,0.000002742981],"category_scores_gemma":[0.000008435125,0.00006976417,0.00002303724,0.00009267186,0.00002959261,0.0009135685,0.00003068716,0.00004421944,3.504116e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363206,"about_ca_system_score_gemma":0.00002805836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000801564,"about_ca_topic_score_gemma":0.0001185664,"domain_scores_codex":[0.9994345,0.00002563567,0.0002843943,0.00008617232,0.00009258516,0.00007676949],"domain_scores_gemma":[0.9995403,0.0000228493,0.0001637262,0.00003849304,0.0001494895,0.00008510692],"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":[0.001163273,0.000029673,0.00673462,0.0006809703,0.0003843174,0.000018103,0.0009155218,0.7905018,0.1731379,0.0004100768,0.007777449,0.01824633],"study_design_scores_gemma":[0.004006516,0.0005397458,0.006801283,0.0002725566,0.0001955204,0.00007905491,0.0003331851,0.8461386,0.138416,0.00002288246,0.002902188,0.000292429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.455367,0.001410589,0.5428101,0.00009977357,0.0001771724,0.0000777091,0.00002993099,0.000007608294,0.0000200803],"genre_scores_gemma":[0.9983885,0.0001805982,0.001179031,0.00003991852,0.0001544526,0.000005721887,0.00003989704,0.000009898726,0.00000201166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5430215,"threshold_uncertainty_score":0.28449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3110512617","doi":"10.1109/oajpe.2020.3031526","title":"Energy Storage as a Service: Optimal Pricing for Transmission Congestion Relief","year":2020,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Service (business); Business; Transmission (telecommunications); Environmental economics; Computer science; Economics; Marketing; Telecommunications","authors":[{"name":"Juan Arteaga","is_ca":true},{"name":"Hamidreza Zareipour","is_ca":true},{"name":"Nima Amjady","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02101625210723346,"gpt":0.2851735980723554,"spread":0.2641573459651219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001993964,0.000171998,0.0003330216,0.0001234177,0.00007823676,0.0004458383,0.000594237,0.0001036764,0.00004099786],"category_scores_gemma":[0.00001890913,0.0001549983,0.00006114441,0.0003402793,0.000008077954,0.001504026,0.000050706,0.0001186701,6.798472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005580835,"about_ca_system_score_gemma":0.00007436321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059921,"about_ca_topic_score_gemma":0.000009852294,"domain_scores_codex":[0.9989411,0.00004200686,0.0004640588,0.0001571414,0.0001926035,0.0002030736],"domain_scores_gemma":[0.999231,0.00005840628,0.0001821245,0.00008690017,0.0002067663,0.0002347327],"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":[0.0004771039,0.00004322019,0.00002192379,0.0001561943,0.0001719318,0.00004822494,0.0009995258,0.9431115,0.01609902,0.0009206789,0.01276234,0.02518835],"study_design_scores_gemma":[0.003918013,0.001062088,0.0001307901,0.000492256,0.0001600458,0.0003512221,0.0001516364,0.7907071,0.0410351,0.0002696965,0.1610512,0.0006708758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02168444,0.001936786,0.9707717,0.0009559049,0.000649312,0.00009045838,0.000003599739,0.00004512979,0.003862614],"genre_scores_gemma":[0.9953217,0.0008694241,0.002703927,0.0007227285,0.0001896413,0.00001098233,0.000005475704,0.00004780159,0.0001283095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736373,"threshold_uncertainty_score":0.6320646,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322576739","doi":"10.1109/oajpe.2023.3247989","title":"Learning-Assisted Variables Reduction Method for Large-Scale MILP Unit Commitment","year":2023,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Schedule; Reduction (mathematics); Mathematical optimization; Integer programming; Computer science; Linear programming; Yield (engineering); Power system simulation; Integer (computer science); Range (aeronautics); Mathematics; Electric power system; Engineering; Power (physics)","authors":[{"name":"Mohamed Ibrahim Abdelaziz Shekeew","is_ca":true},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0327592495225813,"gpt":0.3363071410573977,"spread":0.3035478915348164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009000974,0.0001310395,0.000292616,0.0002748021,0.0001261845,0.0004096312,0.0004540249,0.00008227519,0.00003627182],"category_scores_gemma":[0.00003070399,0.0001191494,0.00005987827,0.000551105,0.000006859872,0.0008470714,0.00007529654,0.0001331907,0.000001631935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005874362,"about_ca_system_score_gemma":0.00003782267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000601992,"about_ca_topic_score_gemma":0.00002526776,"domain_scores_codex":[0.9989693,0.0001123214,0.0004042796,0.0001221983,0.0001560241,0.0002359403],"domain_scores_gemma":[0.9993414,0.0001013571,0.0001765633,0.0001096827,0.0001729249,0.00009807906],"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":[0.0001798696,0.00009966115,0.0003940789,0.000119249,0.0004994544,0.00001980378,0.000903736,0.8770697,0.009841752,0.001155823,0.08881836,0.02089857],"study_design_scores_gemma":[0.004606279,0.0007595894,0.002335874,0.0003576723,0.0002625889,0.0005397493,0.001168528,0.5742721,0.02618707,0.001399389,0.3873767,0.0007344954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01360835,0.0005468793,0.9748834,0.0002072444,0.002587703,0.0001565611,0.0000101027,0.00009908369,0.007900643],"genre_scores_gemma":[0.9720516,0.001248586,0.0207087,0.0000619795,0.0003069298,0.00004424047,0.00003544143,0.00008692887,0.005455643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9584432,"threshold_uncertainty_score":0.4858771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171137366","doi":"10.1109/oajpe.2021.3088876","title":"Synthetic Harmonic Distance Relaying for Inverter-Based Islanded Microgrids","year":2021,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Government of Canada; Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Reactance; Microgrid; Inverter; Harmonic; Relay; Fault (geology); Transient (computer programming); Computer science; Control theory (sociology); Electronic engineering; Voltage; Engineering; Electrical engineering; Power (physics); Physics; Control (management)","authors":[{"name":"Khaled A. Saleh","is_ca":true},{"name":"Mahmoud A. Allam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02687898974430629,"gpt":0.2964384477951305,"spread":0.2695594580508242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676596,0.0001495163,0.0003233466,0.0001234718,0.0001097009,0.0007753701,0.0005255222,0.00007311623,0.00005133942],"category_scores_gemma":[0.00003191372,0.000135046,0.0001056861,0.0001845044,0.00002782532,0.0006357455,0.00005724711,0.0001368599,0.000001248139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007434742,"about_ca_system_score_gemma":0.00006828064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000197396,"about_ca_topic_score_gemma":0.00004141773,"domain_scores_codex":[0.9990076,0.00004481079,0.000440912,0.000151495,0.0001426323,0.0002125096],"domain_scores_gemma":[0.9993189,0.0001033869,0.0001446114,0.0001830931,0.0001548443,0.00009516651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00211256,0.0007983315,0.01099626,0.002423976,0.003658613,0.001748102,0.003552373,0.1122983,0.3694887,0.005107057,0.405418,0.08239776],"study_design_scores_gemma":[0.006706316,0.0004076856,0.0007950261,0.001636224,0.0002354667,0.001493411,0.0003560092,0.04702768,0.4968171,0.001763811,0.4415697,0.001191603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1707968,0.006570536,0.7992539,0.0003368133,0.01325478,0.0001493433,0.00003666422,0.00007646595,0.009524646],"genre_scores_gemma":[0.9984726,0.0001752177,0.0005382596,0.0001230933,0.0001434609,0.00001554538,0.0000019191,0.00003745189,0.0004924741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8276758,"threshold_uncertainty_score":0.7476912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390905089","doi":"10.1109/oajpe.2024.3354079","title":"Adaptive Voltage Reference Based Controls of Converter Power Sharing and Pilot Voltage in HVDC System for Large-Scale Offshore Wind Integration","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Opal-Rt Technologies (Canada); Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Jiangsu Key Laboratory of Smart Grid Technology and Equipment; National Natural Science Foundation of China","keywords":"Voltage droop; Offshore wind power; Control theory (sociology); Voltage; Computer science; Grid; Voltage source; MATLAB; Engineering; Wind power; Control (management); Electrical engineering","authors":[{"name":"Yuanshi Zhang","is_ca":false},{"name":"Wenyan Qian","is_ca":false},{"name":"Jun Shao","is_ca":false},{"name":"Fei Zhang","is_ca":false},{"name":"Liwei Wang","is_ca":true},{"name":"Qinran Hu","is_ca":false},{"name":"Wei Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0320442407913025,"gpt":0.2961100696012209,"spread":0.2640658288099184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005685693,0.0001529965,0.000398552,0.0002276543,0.00003836929,0.000427915,0.0002665541,0.00008758045,0.00002029034],"category_scores_gemma":[0.00001198719,0.0001206817,0.00004828109,0.0001407997,0.00001749338,0.001179247,0.00004896247,0.0001745179,3.536269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000072254,"about_ca_system_score_gemma":0.00003408409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003063825,"about_ca_topic_score_gemma":0.0003641225,"domain_scores_codex":[0.9989768,0.00002627061,0.0005286259,0.0001721897,0.0001316874,0.0001644105],"domain_scores_gemma":[0.9995129,0.00006111243,0.000123002,0.00009979681,0.000127873,0.00007528506],"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":[0.009312508,0.0008094577,0.01612503,0.007180233,0.002275888,0.0005918428,0.01198814,0.04231251,0.7677935,0.05886747,0.007074278,0.07566909],"study_design_scores_gemma":[0.006418602,0.00174452,0.006288662,0.006040606,0.0001271848,0.0001561305,0.003035471,0.9317157,0.0316619,0.000578055,0.01155895,0.0006741689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3056576,0.00213191,0.6863529,0.00003243966,0.001520806,0.000397399,0.00008250746,0.00003340064,0.003791028],"genre_scores_gemma":[0.9995984,0.00004081645,0.00009274211,0.00001876966,0.00006241028,0.00002150782,0.000002916218,0.0000241068,0.0001383737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8894032,"threshold_uncertainty_score":0.4921255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3153577975","doi":"10.1109/oajpe.2021.3072369","title":"Improving Numerical Accuracy in Time-Domain Simulation for Power Electronics Circuits","year":2021,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Opal-Rt Technologies (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Électricité de France; Hydro-Québec","keywords":"Classification of discontinuities; Time domain; Interpolation (computer graphics); Power electronics; Computer science; Electronics; Electronic circuit; Electronic engineering; Power (physics); Domain (mathematical analysis); Algorithm; Electrical engineering; Engineering; Mathematics; Voltage; Telecommunications","authors":[{"name":"Willy Nzale","is_ca":true},{"name":"Jean Mahseredjian","is_ca":true},{"name":"Xiaopeng Fu","is_ca":false},{"name":"Ilhan Koçar","is_ca":true},{"name":"Christian Dufour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01620911824439239,"gpt":0.3068721861906609,"spread":0.2906630679462686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003553047,0.0001326426,0.0003400047,0.0001177129,0.000047258,0.0007733131,0.0003979731,0.0000800196,0.0001095239],"category_scores_gemma":[0.00009305953,0.000123625,0.00008565246,0.0002044649,0.000007414109,0.001479141,0.00005588434,0.0001278838,0.00000176133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000845732,"about_ca_system_score_gemma":0.00009430668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002707958,"about_ca_topic_score_gemma":0.00001597788,"domain_scores_codex":[0.998853,0.0000615874,0.0005393489,0.0001331006,0.0001790123,0.0002339185],"domain_scores_gemma":[0.9991919,0.0002531621,0.0001725849,0.000118162,0.0001613875,0.0001027786],"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":[0.0001607824,0.0000722297,0.0004184237,0.00002962229,0.0001222593,0.00004726479,0.0002085284,0.930216,0.02558856,0.0005154138,0.0008204591,0.04180048],"study_design_scores_gemma":[0.00837872,0.0002200764,0.002667841,0.0001611253,0.00004635277,0.000142905,0.0001314785,0.9202356,0.005676314,0.001811219,0.05995832,0.000569994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4365063,0.003852414,0.5431069,0.0002280749,0.001517288,0.0003332567,0.000009635901,0.00004491841,0.01440124],"genre_scores_gemma":[0.9993138,0.00006009129,0.0001501713,0.0001106302,0.0001013721,0.000008022635,0.000003493451,0.00002734446,0.0002250642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5628075,"threshold_uncertainty_score":0.7457076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040302352","doi":"10.1109/oajpe.2020.3006352","title":"Turbine Startup and Shutdown in Wind Farms Featuring Partial Power Processing Converters","year":2020,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Offshore wind power; Converters; Turbine; Wind power; Power optimizer; Engineering; Shutdown; Power (physics); Electrical engineering; Automotive engineering; Maximum power point tracking; Inverter; Voltage; Mechanical engineering; Physics","authors":[{"name":"Marten Pape","is_ca":true},{"name":"Mehrdad Kazerani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02979829281784236,"gpt":0.2784685369816653,"spread":0.248670244163823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001250827,0.0002062628,0.0003890831,0.000114896,0.0000488289,0.0006330824,0.0004987025,0.00007379417,0.00009463901],"category_scores_gemma":[0.000009896037,0.0001747885,0.00004075294,0.0001725038,0.00005218269,0.00179898,0.0001466887,0.0002383742,8.578415e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003009606,"about_ca_system_score_gemma":0.00004067562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007434261,"about_ca_topic_score_gemma":0.0000225574,"domain_scores_codex":[0.9989387,0.00002637787,0.0004130757,0.0001877316,0.0001702715,0.0002638524],"domain_scores_gemma":[0.9994678,0.00002021094,0.0001064863,0.0000782667,0.00005465652,0.0002725859],"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":[0.002465564,0.0002957371,0.06994199,0.0008181667,0.0009885925,0.002102866,0.02772951,0.03409455,0.04007069,0.0003284328,0.03122358,0.7899403],"study_design_scores_gemma":[0.0181102,0.001086695,0.1093496,0.001694903,0.0002289957,0.0006914492,0.004049157,0.7764667,0.03672059,0.0004740662,0.04819564,0.002932009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807442,0.002468133,0.01234062,0.00107392,0.000989882,0.00009781118,0.000007182135,0.00003088083,0.002247343],"genre_scores_gemma":[0.9982826,0.0003588629,0.00009814387,0.001109359,0.00008331383,0.000001968021,9.181616e-7,0.00002830775,0.00003649551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870083,"threshold_uncertainty_score":0.7127669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046200288","doi":"10.1109/oajpe.2020.3012636","title":"Parallel-in-Time Object-Oriented Electromagnetic Transient Simulation of Power Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Solver; Transient (computer programming); Component (thermodynamics); Convergence (economics); Electric power system; Time domain; Electric power transmission; Parallel computing; Transmission (telecommunications); Parallel algorithm; Power (physics); Engineering; Electrical engineering","authors":[{"name":"Tianshi Cheng","is_ca":true},{"name":"Tong Duan","is_ca":true},{"name":"Venkata Dinavahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01486952509002362,"gpt":0.2714313026039593,"spread":0.2565617775139356,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217321,0.0001576434,0.0005012066,0.0001493573,0.00002410328,0.0002903721,0.0004588827,0.00007414896,0.000116422],"category_scores_gemma":[0.00001591629,0.0001367447,0.000083175,0.0002880922,0.00001611422,0.0008545493,0.00002941453,0.0001166511,0.000002877316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003358376,"about_ca_system_score_gemma":0.00003257453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009924542,"about_ca_topic_score_gemma":0.000007520656,"domain_scores_codex":[0.9985276,0.00008818871,0.0007699494,0.0001292417,0.0002946462,0.0001903233],"domain_scores_gemma":[0.9993261,0.0000700829,0.0002081684,0.0001053077,0.0001278587,0.00016247],"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":[0.0002427505,0.00003336586,0.0002459787,0.00003475971,0.00007994765,0.00002021474,0.0004155226,0.9847546,0.01320846,0.0001250896,0.0004735753,0.0003657142],"study_design_scores_gemma":[0.004361235,0.0006742169,0.005930415,0.000214066,0.00005250419,0.0000381385,0.0001423389,0.9748933,0.001077523,0.00003777032,0.0122465,0.0003319841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200487,0.002806086,0.05319655,0.0001823742,0.0009569859,0.0003028662,0.000007679802,0.00003871908,0.02246012],"genre_scores_gemma":[0.9996094,0.00009042314,0.00003202,0.00006091064,0.00005222047,0.000004112096,0.000001762013,0.00002301628,0.0001261996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0795607,"threshold_uncertainty_score":0.5576288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404307259","doi":"10.1109/oajpe.2024.3497880","title":"A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Modal; Fault (geology); Computer science; Deep learning; Artificial intelligence; Seismology; Geology; Materials science","authors":[{"name":"Shahabodin Afrasiabi","is_ca":true},{"name":"Sarah Allahmoradi","is_ca":true},{"name":"Mousa Afrasiabi","is_ca":false},{"name":"Xiaodong Liang","is_ca":true},{"name":"C. Y. Chung","is_ca":false},{"name":"Jamshid Aghaei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0632886553851172,"gpt":0.3777676325512277,"spread":0.3144789771661106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001220294,0.0002782399,0.0006269296,0.0004512249,0.0001688344,0.002363576,0.00112885,0.0001910312,0.0001300552],"category_scores_gemma":[0.0001983889,0.0002240386,0.0002144666,0.0003919133,0.00003905576,0.001521597,0.0001609332,0.0002356007,0.000002171731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293051,"about_ca_system_score_gemma":0.0001510949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004305626,"about_ca_topic_score_gemma":0.0003739118,"domain_scores_codex":[0.997826,0.0003454361,0.0008395949,0.0003516955,0.0003269385,0.000310381],"domain_scores_gemma":[0.9980631,0.0006013926,0.0004370068,0.0002115891,0.0004732133,0.0002136848],"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":[0.0001748908,0.0001259736,0.0003200277,0.0001770225,0.0003149863,0.00009341621,0.0002188943,0.97286,0.001050082,0.002438864,0.009464332,0.01276155],"study_design_scores_gemma":[0.001370779,0.000340787,0.00005488752,0.0006653172,0.0001340321,0.0001788937,0.0001854462,0.7294755,0.02303837,0.0002173857,0.2439488,0.0003897505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000991397,0.003706795,0.9907541,0.0001761318,0.001709523,0.0002227297,0.00001492714,0.0001084007,0.002315996],"genre_scores_gemma":[0.9503299,0.0007651004,0.04563316,0.0003126259,0.0003286403,0.0004267322,0.00001312802,0.0001156099,0.002075102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9493385,"threshold_uncertainty_score":0.9986721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3036170878","doi":"10.1109/oajpe.2020.3003540","title":"Energy Consumption Model for Indoor Cannabis Cultivation Facility","year":2020,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Coffee research and impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy consumption; Consumption (sociology); Environmental science; Cannabis; Business; Engineering; Psychology; Sociology; Electrical engineering","authors":[{"name":"Nafeesa Mehboob","is_ca":true},{"name":"Hany E. Z. Farag","is_ca":true},{"name":"Abdullah Sawas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1580097457166821,"gpt":0.4253757779260448,"spread":0.2673660322093626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292536,0.0001052618,0.0003059448,0.00009378406,0.00007129212,0.000266534,0.0002826081,0.00005791462,0.0001111541],"category_scores_gemma":[0.0002124718,0.00007862923,0.00008091596,0.0001111794,0.00004237038,0.001129464,0.0001064696,0.0001134429,7.23078e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005178535,"about_ca_system_score_gemma":0.0003172239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003102644,"about_ca_topic_score_gemma":0.00006073881,"domain_scores_codex":[0.9990507,0.00003746032,0.0003205317,0.0001410908,0.0002514972,0.0001986702],"domain_scores_gemma":[0.9988523,0.00003539252,0.0001672846,0.0000863231,0.0003670228,0.0004917034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01907324,0.0006837364,0.01751183,0.000500357,0.0008107641,0.00013164,0.002191582,0.003029924,0.1013153,0.001500412,0.5240002,0.3292509],"study_design_scores_gemma":[0.03544087,0.007306717,0.0605137,0.0007290599,0.0005003227,0.0006497446,0.0004688016,0.346495,0.17536,0.003832755,0.3674675,0.001235504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739755,0.001018439,0.3052725,0.01668857,0.0002747954,0.0002442611,0.0001070572,0.00001399563,0.002404948],"genre_scores_gemma":[0.9961646,0.0006496276,0.0002427851,0.001990806,0.0001201112,0.000009120712,0.00001366001,0.000008505611,0.0008008239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3434651,"threshold_uncertainty_score":0.3206407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401878683","doi":"10.1109/oajpe.2024.3449346","title":"Numerically Efficient and Accurate Analytical Converter Semiconductor Loss Calculation for Hybrid and Modular Multilevel Converters in VSC-HVDC Applications","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Modular design; Electronic engineering; Semiconductor; HVDC converter; Electrical engineering; Engineering; Computer science; Voltage","authors":[{"name":"Levi Bieber","is_ca":true},{"name":"Liwei Wang","is_ca":true},{"name":"Juri Jatskevich","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02489295307725255,"gpt":0.3245856828058432,"spread":0.2996927297285906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000212816,0.0001188911,0.0002379911,0.0001494758,0.00004314083,0.0005050192,0.0001416877,0.00005351683,0.000008044622],"category_scores_gemma":[0.000008805527,0.00009778736,0.00003460883,0.0001029169,0.00003801979,0.0006083869,0.00004369861,0.0001086201,4.610806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004266492,"about_ca_system_score_gemma":0.00002254622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141046,"about_ca_topic_score_gemma":0.000009141978,"domain_scores_codex":[0.9992409,0.00002130598,0.0003535509,0.0001628298,0.0000879775,0.0001334435],"domain_scores_gemma":[0.9996506,0.00005862005,0.00005250097,0.00006842759,0.00006283938,0.0001070386],"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":[0.0008605584,0.0004033901,0.004984132,0.002494446,0.001800746,0.0003845947,0.004063386,0.2666183,0.1455935,0.009430117,0.007238803,0.556128],"study_design_scores_gemma":[0.0007453143,0.00004741846,0.002019182,0.0001291721,0.0000322532,0.000198415,0.00004232784,0.984573,0.001555298,0.0001654752,0.01033319,0.000158924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4800209,0.0009835777,0.5181293,0.0000935908,0.0004246063,0.0002010813,0.00001647156,0.00001450684,0.0001159652],"genre_scores_gemma":[0.9993953,0.0001880672,0.0001745044,0.00004534932,0.00007401593,0.00003971648,0.000002586591,0.00001791837,0.00006254246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7179547,"threshold_uncertainty_score":0.4869911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392930999","doi":"10.1109/oajpe.2024.3378577","title":"Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electromagnetics; Computer science; Power (physics); Computational electromagnetics; Artificial intelligence; Engineering; Electronic engineering; Electromagnetic field; Physics","authors":[{"name":"Dinusha Maramba Gamage","is_ca":true},{"name":"Madhawa Ranasinghe","is_ca":true},{"name":"Venkata Dinavahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04153516329488825,"gpt":0.3672935251195096,"spread":0.3257583618246214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003655151,0.0001299596,0.0002588309,0.0002329354,0.00003725888,0.0003975015,0.0004331921,0.00007862609,0.00000583192],"category_scores_gemma":[0.000006702191,0.0001156091,0.00006281283,0.000236038,0.00002005957,0.0007582186,0.00002829687,0.0001077315,0.00000105273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008181241,"about_ca_system_score_gemma":0.00004069456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604458,"about_ca_topic_score_gemma":0.00001473149,"domain_scores_codex":[0.9989574,0.00003608011,0.0005510298,0.0001405779,0.0001898407,0.0001250911],"domain_scores_gemma":[0.9994405,0.00007330775,0.000135184,0.0001200205,0.0001631113,0.00006786132],"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":[0.000454854,0.0002159928,0.00001810502,0.001400353,0.0004077899,0.0000284062,0.0006536855,0.0869026,0.06344674,0.2049439,0.00426154,0.637266],"study_design_scores_gemma":[0.0002565208,0.002883324,0.0001382678,0.001977757,0.0001277957,0.0005987215,0.0003203982,0.6159471,0.2863102,0.01688339,0.07390003,0.0006565278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01334115,0.003054557,0.9804456,0.00002491481,0.00111126,0.0001790402,0.00001838544,0.00006934164,0.001755753],"genre_scores_gemma":[0.9978834,0.0001716205,0.001710561,0.00001924398,0.000136007,0.00003332042,0.000003992643,0.0000270199,0.00001479231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845423,"threshold_uncertainty_score":0.4714402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3185018685","doi":"10.1109/oajpe.2021.3098658","title":"A Preventive Dispatching Method for High Wind Power-Integrated Electrical Systems Considering Probabilistic Transient Stability Constraints","year":2021,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; SaskPower","keywords":"Probabilistic logic; Transient (computer programming); Electric power system; Stability (learning theory); Reliability engineering; Computer science; Fault (geology); Sensitivity (control systems); Wind power; Control theory (sociology); Engineering; Power (physics); Control engineering; Machine learning; Artificial intelligence; Electronic engineering","authors":[{"name":"Yu-Chuan Chen","is_ca":true},{"name":"Seyed Mahdi Mazhari","is_ca":true},{"name":"C. Y. Chung","is_ca":true},{"name":"S.O. Faried","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02891825255055553,"gpt":0.3117243567344205,"spread":0.282806104183865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110627,0.0002516392,0.0007325894,0.000103766,0.0001182097,0.0008491848,0.0004473745,0.0001146789,0.0001475196],"category_scores_gemma":[0.0002799229,0.000214439,0.0001416018,0.0003042404,0.00007072608,0.0008669124,0.00007075982,0.0002339123,2.321818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018201,"about_ca_system_score_gemma":0.0003137462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271955,"about_ca_topic_score_gemma":0.0001004193,"domain_scores_codex":[0.9977864,0.0003840733,0.0009481796,0.0003073431,0.0002479762,0.0003260044],"domain_scores_gemma":[0.9982513,0.0004625802,0.0002220135,0.0002185976,0.0006011386,0.0002443604],"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":[0.00194745,0.001967545,0.004600917,0.002325301,0.00400718,0.0006558428,0.009558317,0.8665022,0.04014041,0.03817493,0.005765083,0.02435488],"study_design_scores_gemma":[0.02655111,0.00255367,0.01546304,0.004423475,0.001545984,0.005683686,0.01114216,0.7476297,0.1225823,0.01267346,0.04424201,0.005509413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1247023,0.0008341157,0.8704611,0.00007856557,0.001619848,0.0003137588,0.00008752904,0.00003126711,0.001871511],"genre_scores_gemma":[0.9938266,0.000053556,0.005939226,0.00003916582,0.00002599031,0.00002197978,0.000007593563,0.0000298867,0.00005599347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8691243,"threshold_uncertainty_score":0.8744568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312252402","doi":"10.1109/oajpe.2022.3217601","title":"Faster-Than-Real-Time Hardware Emulation of Transients and Dynamics of a Grid of Microgrids","year":2022,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulation; Reconfigurability; Microgrid; Transient (computer programming); Computer science; Interface (matter); MATLAB; Grid; Field-programmable gate array; Renewable energy; Acceleration; Embedded system; Co-simulation; Electric power system; System dynamics; Power (physics); Engineering; Electrical engineering; Parallel computing; Operating system","authors":[{"name":"Shiqi Cao","is_ca":true},{"name":"Ning Lin","is_ca":true},{"name":"Venkata Dinavahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01204918970795674,"gpt":0.2692548167351168,"spread":0.25720562702716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002359161,0.0001054045,0.0004329863,0.0001845106,0.00003539869,0.00007052015,0.0003396566,0.00003655622,0.0001121468],"category_scores_gemma":[0.000004149967,0.00009759875,0.00007873462,0.0001557744,0.00002823324,0.0005636026,0.00007299286,0.00007133336,9.034241e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002737565,"about_ca_system_score_gemma":0.00002514644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003600723,"about_ca_topic_score_gemma":0.00003393529,"domain_scores_codex":[0.9988894,0.00006447787,0.0006350031,0.0000818309,0.000230351,0.00009892425],"domain_scores_gemma":[0.9993209,0.00004023621,0.0003404404,0.0001033907,0.0001306219,0.00006440163],"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":[0.0008436582,0.0002465401,0.01212556,0.0003467574,0.0006785966,0.00001915846,0.002048,0.7899429,0.1669587,0.0003991764,0.0009006777,0.02549027],"study_design_scores_gemma":[0.01555488,0.001956262,0.1165863,0.0008320241,0.0004725468,0.0003926026,0.002301185,0.8209866,0.03291844,0.0006429573,0.006316129,0.001040078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929097,0.0004025931,0.002765435,0.00002426933,0.0004179148,0.00007287901,0.00007435081,0.000004949587,0.003327854],"genre_scores_gemma":[0.9995826,0.0001505682,0.00006482399,0.000006479617,0.00002898541,0.000002423354,0.000008999037,0.00001607349,0.0001389837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1340403,"threshold_uncertainty_score":0.3979962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409473706","doi":"10.1109/oajpe.2025.3560626","title":"Soft Actor-Critic-Based MPPT Control of Solar PV Systems Under Partial Shading Conditions","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"South African Agency for Science and Technology Advancement; Mastercard Foundation","keywords":"Shading; Maximum power point tracking; Photovoltaic system; Control theory (sociology); Control (management); Environmental science; Computer science; Power (physics); Engineering; Artificial intelligence; Physics; Electrical engineering; Thermodynamics; Computer graphics (images)","authors":[{"name":"Sampson E. Nwachukwu","is_ca":false},{"name":"Komla A. Folly","is_ca":false},{"name":"Kehinde Awodele","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02727863103193025,"gpt":0.3469933598497318,"spread":0.3197147288178016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005594746,0.0002059369,0.0006736555,0.0004174289,0.0001575986,0.0006849664,0.001007616,0.000151299,0.0001956615],"category_scores_gemma":[0.0001126624,0.000181071,0.0001403428,0.0003248119,0.0001080272,0.001277071,0.0001127601,0.0001511166,8.5163e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009438825,"about_ca_system_score_gemma":0.0003073471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154128,"about_ca_topic_score_gemma":0.0001037836,"domain_scores_codex":[0.9979865,0.0002647586,0.0009903539,0.0002025886,0.0003047515,0.0002510223],"domain_scores_gemma":[0.9980348,0.00031854,0.0006153118,0.0002668464,0.0006166984,0.0001477653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001040383,0.0007154333,0.004508394,0.0003659718,0.001722169,0.0001215759,0.0002336896,0.6425972,0.09955387,0.2079223,0.03981825,0.001400753],"study_design_scores_gemma":[0.01779209,0.0009211341,0.002369761,0.00465059,0.001066849,0.0002913906,0.001372405,0.1222029,0.705233,0.0128491,0.129646,0.001604842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01729903,0.001198621,0.957232,0.0005891654,0.002353007,0.0002533553,0.00007322049,0.00006328564,0.02093834],"genre_scores_gemma":[0.9982907,0.0000643027,0.0002155386,0.0007348092,0.00009786717,0.00003575259,0.000006955704,0.00002580475,0.0005283231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809916,"threshold_uncertainty_score":0.7383861,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321483943","doi":"10.1109/oajpe.2023.3247243","title":"Evaluation of Inherent Damping Introduced by Thyristor Controlled Series Compensators","year":2023,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Mitacs","keywords":"Thyristor; Control theory (sociology); Electric power system; SIGNAL (programming language); Series (stratigraphy); Phasor; Stability (learning theory); Capacitor; Engineering; Computer science; Power (physics); Physics; Voltage; Electrical engineering","authors":[{"name":"D. R. Weerakoon","is_ca":true},{"name":"C. Karawita","is_ca":false},{"name":"U.D. Annakkage","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04810621231151906,"gpt":0.3440768946394457,"spread":0.2959706823279266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574951,0.0001025538,0.0003843844,0.0001551549,0.00005358621,0.0002122978,0.0002870117,0.00005161666,0.00005338223],"category_scores_gemma":[0.00006023012,0.00008181085,0.00005523592,0.0002122448,0.00001814313,0.0009233762,0.00005208635,0.00008601711,0.000001167431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006531481,"about_ca_system_score_gemma":0.00004373632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001533526,"about_ca_topic_score_gemma":0.00005246151,"domain_scores_codex":[0.9987966,0.0001276602,0.0004949128,0.00008339802,0.0003838278,0.0001136126],"domain_scores_gemma":[0.9992719,0.0000312577,0.0002295477,0.00009446862,0.000312981,0.0000598679],"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":[0.001536319,0.0001685413,0.0009590746,0.0002554102,0.002216655,0.00002353917,0.002331383,0.2067093,0.5454645,0.001071386,0.1095406,0.1297233],"study_design_scores_gemma":[0.06504402,0.002332146,0.02069583,0.00204791,0.001572257,0.0004267094,0.003891119,0.2422213,0.435268,0.004851773,0.2191981,0.002450862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889371,0.001391865,0.003031078,0.00008114434,0.002360741,0.0001874887,0.000005868975,0.00002543334,0.003979291],"genre_scores_gemma":[0.9993688,0.0002751727,0.00002429402,0.00001006174,0.000126853,0.00002094331,0.000002115175,0.00001531061,0.0001564284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1272725,"threshold_uncertainty_score":0.3336149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394994401","doi":"10.1109/oajpe.2024.3392246","title":"Detailed Nonlinear Modeling and High-Fidelity Parallel Simulation of MMC With Embedded Energy Storage for Wind Farm Grid Integration","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Powertech Labs (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Massively parallel; Graphics processing unit; Central processing unit; Wind power; Computational science; Parallel computing; Electrical engineering; Computer hardware; Engineering","authors":[{"name":"Bingrong Shang","is_ca":true},{"name":"Ning Lin","is_ca":true},{"name":"Venkata Dinavahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02690537670119523,"gpt":0.3121066679097531,"spread":0.2852012912085578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002986568,0.0001377145,0.0002909786,0.0001504066,0.00005497008,0.0004092106,0.0001601343,0.00008210076,0.000006266513],"category_scores_gemma":[0.00001166617,0.0001012943,0.00004486993,0.0001283467,0.00001538403,0.001131377,0.00002890262,0.0001019461,6.288423e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003590304,"about_ca_system_score_gemma":0.00003473888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004511677,"about_ca_topic_score_gemma":0.0004496249,"domain_scores_codex":[0.9991279,0.00002981805,0.0004570168,0.0001343071,0.0001390697,0.0001119232],"domain_scores_gemma":[0.9994901,0.00004957546,0.0001159638,0.00008381228,0.0001928573,0.00006764811],"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":[0.0001674002,0.00001383484,0.00001441276,0.00007560231,0.000104086,0.000005089422,0.0001940905,0.9798071,0.004289575,0.0003096317,0.00003174309,0.01498739],"study_design_scores_gemma":[0.0006835795,0.0001766154,0.00006705487,0.0002683391,0.0000463119,0.0000245534,0.0001028246,0.9939424,0.002805377,0.0004031889,0.00134948,0.0001302303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2871537,0.0008347143,0.7112694,0.00001288311,0.0005073512,0.00006649089,0.00001029459,0.00001357866,0.000131544],"genre_scores_gemma":[0.9973215,0.0002292813,0.002097787,0.00001298643,0.0002403733,0.000008419031,0.000007078843,0.00002543412,0.00005709474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7101679,"threshold_uncertainty_score":0.4130662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409426296","doi":"10.1109/oajpe.2025.3559336","title":"A Novel Multi-Task Learning-Based Approach to Multi-Energy System Load Forecasting","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Computer science; Energy (signal processing); Artificial intelligence; Machine learning; Engineering; Statistics; Mathematics; Systems engineering","authors":[{"name":"Zain Ahmed","is_ca":true},{"name":"Mohsin Jamil","is_ca":true},{"name":"Ashraf Ali Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04639214120867698,"gpt":0.2943582876460459,"spread":0.2479661464373689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000553489,0.0003584163,0.0006088846,0.0004465255,0.0002294804,0.0009239055,0.00124126,0.0001550465,0.000007667162],"category_scores_gemma":[0.00008634615,0.0003173735,0.0001487511,0.0006239986,0.0000367099,0.000883482,0.0002904087,0.0003476132,8.93041e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010645,"about_ca_system_score_gemma":0.000168389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007849454,"about_ca_topic_score_gemma":0.0002196879,"domain_scores_codex":[0.9981015,0.00006708062,0.0007640767,0.0003058135,0.0002926813,0.0004688987],"domain_scores_gemma":[0.9988467,0.0001195941,0.0002382885,0.0002169939,0.0002858846,0.0002925397],"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":[0.00009672946,0.0001467627,0.0003543767,0.000156018,0.0002053148,0.00003737557,0.0002546436,0.982484,0.003702345,0.001096688,0.001180844,0.01028488],"study_design_scores_gemma":[0.003469133,0.0001309966,0.0002898263,0.001298062,0.00008922876,0.0002153588,0.000396314,0.9360655,0.007351664,0.00001101602,0.05009108,0.0005918419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0121099,0.001191716,0.9509869,0.00003320211,0.001757463,0.00006312899,0.000007951808,0.00008948166,0.03376024],"genre_scores_gemma":[0.9846133,0.00004119099,0.01347654,0.0002465817,0.000143059,0.00002313,0.000004312188,0.00006004073,0.001391872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9725034,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399568373","doi":"10.1109/oajpe.2024.3413606","title":"Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro One (Canada); Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aggregate (composite); Econometrics; Flow (mathematics); Computer science; Environmental science; Operations research; Economics; Mathematics","authors":[{"name":"Amir Reza Nikzad","is_ca":true},{"name":"Amr A. Mohamed","is_ca":true},{"name":"Bala Venkatesh","is_ca":true},{"name":"John Penaranda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06404970176927487,"gpt":0.292603233716221,"spread":0.2285535319469462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006687478,0.0002504204,0.0004748002,0.0001920452,0.0001036433,0.000844314,0.0007846823,0.00008792715,0.00006909912],"category_scores_gemma":[0.0001503464,0.0001905403,0.00004407968,0.0003496107,0.0001259287,0.002539361,0.0003381138,0.0002922339,2.714903e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002768238,"about_ca_system_score_gemma":0.00006593799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002937871,"about_ca_topic_score_gemma":0.0002335653,"domain_scores_codex":[0.9985031,0.00005743536,0.0006449793,0.0002822528,0.0002320215,0.000280166],"domain_scores_gemma":[0.99884,0.000305804,0.0002138474,0.0002963906,0.0001679396,0.0001760099],"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":[0.001037947,0.0002571321,0.0182871,0.002613186,0.003796118,0.0009571812,0.006316887,0.6943756,0.0270124,0.001756056,0.01005246,0.2335379],"study_design_scores_gemma":[0.001488521,0.0003266004,0.002178065,0.003092578,0.0001956045,0.001228824,0.0002472434,0.9763914,0.009566457,0.000553706,0.004040556,0.0006904058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696705,0.002266035,0.02163801,0.000061104,0.001089375,0.00005259993,0.00004719525,0.00004919263,0.005125958],"genre_scores_gemma":[0.9877511,0.0001271891,0.01189573,0.00003883202,0.00009147647,0.000001859408,0.000009310297,0.00004531937,0.00003922046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2820158,"threshold_uncertainty_score":0.8141739,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285295120","doi":"10.1109/oajpe.2022.3175129","title":"Optimal Controllers to Improve Transient Recovery of Grid-Following Inverters Connected to Weak Power Grids","year":2022,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hatch (Canada); Manitoba Beekeepers' Association; Manitoba Hydro; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Manitoba Hydro","keywords":"Inverter; Computer science; Control theory (sociology); Electric power system; Fault (geology); Grid; Transient (computer programming); Power electronics; Engineering; Power (physics); Electronic engineering; Electrical engineering; Voltage; Mathematics","authors":[{"name":"Thilini Hathiyaldeniye","is_ca":true},{"name":"C. Karawita","is_ca":true},{"name":"Bagen Bagen","is_ca":true},{"name":"N.C. Pahalawaththa","is_ca":true},{"name":"U.D. Annakkage","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008731782347175565,"gpt":0.2459493379133058,"spread":0.2372175555661303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551385,0.0001846366,0.0005031715,0.0003270713,0.0001001095,0.0002646591,0.0007586506,0.00004309219,0.0002091563],"category_scores_gemma":[0.00002301402,0.0001729828,0.0001729529,0.0003554173,0.00001212886,0.0007858297,0.0001731169,0.0001658958,6.855887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009633915,"about_ca_system_score_gemma":0.00007613278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605932,"about_ca_topic_score_gemma":0.00002309925,"domain_scores_codex":[0.9986524,0.00006391913,0.0005859419,0.0001740147,0.0002717664,0.0002519352],"domain_scores_gemma":[0.9993208,0.00005169887,0.0001365392,0.0001447476,0.0001071747,0.0002390408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008294134,0.00004691688,0.00004454725,0.000008216654,0.0003344614,0.00003100918,0.0005436526,0.9354504,0.04025851,0.00002488383,0.01721313,0.005214849],"study_design_scores_gemma":[0.0524836,0.01379815,0.006770746,0.0008065544,0.001079485,0.0005800436,0.008401359,0.2503008,0.09333246,0.0002406958,0.5672905,0.004915652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008446,0.001791743,0.07930975,0.0009090526,0.009405535,0.000403859,0.0001150851,0.00003912332,0.00718129],"genre_scores_gemma":[0.9982421,0.0001039366,0.0006618688,0.0007341008,0.0000755459,0.00002375803,0.000003852388,0.00003292249,0.0001219476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6851496,"threshold_uncertainty_score":0.7054032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214829111","doi":"10.1109/oajpe.2022.3156761","title":"Experimental Investigation of Inter-Phase Power Management in Residential Microgrids","year":2022,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Three-phase; Power (physics); Reliability engineering; Power quality; Converters; Computer science; Power Balance; Phase (matter); Electrical engineering; Automotive engineering; Engineering; Voltage","authors":[{"name":"Syed A. Raza","is_ca":true},{"name":"Jin Jiang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520541007864295,"gpt":0.2993596558090196,"spread":0.2841542457303766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002075555,0.00008765473,0.0001806903,0.0002529371,0.0000402591,0.0001645653,0.000468478,0.00001991919,0.0002977234],"category_scores_gemma":[0.000001530082,0.00008736368,0.00004113195,0.0001735412,0.00002146251,0.0007322787,0.0002438513,0.0000976775,1.913537e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005925267,"about_ca_system_score_gemma":0.00001483123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008552553,"about_ca_topic_score_gemma":0.00001316754,"domain_scores_codex":[0.9992274,0.00004815896,0.0004040686,0.00008352042,0.000131724,0.0001051028],"domain_scores_gemma":[0.9997039,0.000008546221,0.0001286474,0.00007788309,0.00002981654,0.0000511898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002183044,0.0009229258,0.001817989,0.00009883779,0.0008281623,0.0005738062,0.005575268,0.4589118,0.4401736,0.001549343,0.04802706,0.03933815],"study_design_scores_gemma":[0.03540537,0.002764254,0.00745423,0.0004523579,0.0002360382,0.000616245,0.006912763,0.04023567,0.8403975,0.001831954,0.06214965,0.001543906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886317,0.003109627,0.004426577,0.00008016865,0.001148704,0.00007946224,0.000007440792,0.000007743866,0.0025086],"genre_scores_gemma":[0.9991741,0.0002462611,0.0003797297,0.00008313829,0.00002700564,0.00001043627,0.000003791314,0.00001286772,0.00006269348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186762,"threshold_uncertainty_score":0.3562587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417056998","doi":"10.1109/oajpe.2025.3641106","title":"Optimal Strategy for Energy-Efficient Management of Greenhouse Climate Control","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse; Microclimate; Electricity; Energy consumption; Wind speed; Control (management); Sample (material); Sensitivity (control systems); Photovoltaic system","authors":[{"name":"Mohammad Ghiasi","is_ca":true},{"name":"Zhanle Wang","is_ca":true},{"name":"Mehran Mehrandezh","is_ca":true},{"name":"Ali Mohammadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02588371679613259,"gpt":0.305724939848395,"spread":0.2798412230522624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757452,0.0001459056,0.000394051,0.00005212354,0.0001574517,0.0002009131,0.001118219,0.0001068121,0.00007180891],"category_scores_gemma":[0.000006358778,0.00006207298,0.0001317104,0.0002210251,0.00008277393,0.0002809342,0.0002334888,0.00007658659,2.863446e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001401341,"about_ca_system_score_gemma":0.00001379733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001397012,"about_ca_topic_score_gemma":0.0001858077,"domain_scores_codex":[0.9988827,0.00004536217,0.0004888861,0.0001864701,0.0001263275,0.0002702395],"domain_scores_gemma":[0.9992331,0.0001137762,0.000341522,0.00007087609,0.0001718872,0.00006884825],"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":[0.006135917,0.001690805,0.005904479,0.0001810286,0.001785561,0.0001706918,0.00005552504,0.01798066,0.05251957,0.3048465,0.008879723,0.5998495],"study_design_scores_gemma":[0.05799172,0.01753729,0.3649746,0.003744304,0.004202609,0.0004822206,0.008142499,0.02741672,0.1441281,0.04910785,0.3177852,0.004486937],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865578,0.001403508,0.004368197,0.001134504,0.00040991,0.0001562837,0.00006551586,0.00002195634,0.005882272],"genre_scores_gemma":[0.9983397,0.0008695143,0.0001079982,0.0003201764,0.00003321102,0.00002040671,0.000002633702,0.000001583309,0.0003047401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5953625,"threshold_uncertainty_score":0.2531263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293371009","doi":"10.1109/oajpe.2022.3202131","title":"A Zonal Capacity Market Model With Energy Storage for Transmission and Distribution","year":2022,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Independent Electricity System Operator; Natural Sciences and Engineering Research Council of Canada; Mitacs; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Electric power transmission; Distributed generation; Transmission (telecommunications); Computer science; Transmission system; Activity-based costing; Electric power system; Mathematical optimization; Power transmission; Economics; Power (physics); Operations research; Renewable energy; Telecommunications; Electrical engineering; Engineering; Mathematics","authors":[{"name":"Jessie Ma","is_ca":true},{"name":"Felipe B. B. Rolim","is_ca":true},{"name":"Ayman Elkasrawy","is_ca":false},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01666545183172079,"gpt":0.2488948748189205,"spread":0.2322294229871997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003014794,0.0001250045,0.0002243836,0.0000919997,0.0001686069,0.000235908,0.0003271048,0.0000370232,0.00003885353],"category_scores_gemma":[0.000004036675,0.0001054381,0.00003365583,0.0001634567,0.00001664639,0.0008882397,0.00005575705,0.0001073431,9.995162e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009863707,"about_ca_system_score_gemma":0.00005614596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006426505,"about_ca_topic_score_gemma":0.00001774758,"domain_scores_codex":[0.999207,0.00005139233,0.0002595655,0.0001200247,0.000201574,0.0001604205],"domain_scores_gemma":[0.999577,0.00003730257,0.000118657,0.00007313896,0.00008040488,0.0001134351],"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":[0.0005113762,0.00005796334,0.00005993817,0.00004400577,0.0001199558,0.00001582706,0.0001801123,0.9670853,0.001427126,0.001496421,0.0204271,0.008574877],"study_design_scores_gemma":[0.001583435,0.0003511211,0.0001621719,0.00005059424,0.00005325019,0.000352039,0.00003392852,0.957389,0.00165435,0.0006715994,0.03745518,0.0002433134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02619418,0.0007519758,0.9711288,0.0000759066,0.000206716,0.00005488211,0.00005739593,0.00001245451,0.00151772],"genre_scores_gemma":[0.9977784,0.0002794324,0.001411356,0.00004900713,0.00003175034,0.00002768881,0.00001373946,0.00002288877,0.0003857909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9715841,"threshold_uncertainty_score":0.4299642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412444843","doi":"10.1109/oajpe.2025.3589243","title":"Early Detection of Stator Inter-Turn and Single Phasing Faults in Induction Motors Using Negative Sequence Voltage Components","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Stator; Turn (biochemistry); Induction motor; Voltage; Sequence (biology); Control theory (sociology); Computer science; Electrical engineering; Engineering; Physics; Artificial intelligence; Chemistry; Nuclear magnetic resonance","authors":[{"name":"Mohammadhossein Nazemi","is_ca":true},{"name":"Xiaodong Liang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0419160627786957,"gpt":0.3604699938811829,"spread":0.3185539311024872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001926738,0.0001198786,0.0002596097,0.0004049274,0.00003704743,0.0001964267,0.0002553066,0.00006350647,0.000003479837],"category_scores_gemma":[0.00004050407,0.0001139742,0.00002608676,0.0002561294,0.00004378244,0.001729042,0.000102968,0.0001780756,2.340091e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195902,"about_ca_system_score_gemma":0.00001748733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511476,"about_ca_topic_score_gemma":0.0002281953,"domain_scores_codex":[0.9992324,0.00004756482,0.0004004216,0.0001069233,0.00009980861,0.0001128491],"domain_scores_gemma":[0.9995583,0.00005519875,0.0001815969,0.00007053087,0.00008770791,0.00004669397],"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":[0.0001092071,0.00007924776,0.007591296,0.0000573511,0.00007047525,0.00001642573,0.0005482452,0.002720174,0.9523623,0.00003374338,0.0000293756,0.03638218],"study_design_scores_gemma":[0.001064422,0.0002006666,0.03412008,0.00109987,0.00003275835,0.0000482834,0.0001645306,0.0134635,0.9479667,0.001367238,0.0002642778,0.000207703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625345,0.0001605641,0.03639437,0.00001002299,0.0004130754,0.00006141064,0.000004198125,0.00001255778,0.0004092977],"genre_scores_gemma":[0.9992495,0.0001261562,0.0005620972,0.00001943629,0.00002071906,0.000002800227,3.927931e-7,0.00001218996,0.00000667987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03671503,"threshold_uncertainty_score":0.4647733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3167352265","doi":"10.1109/oajpe.2021.3086042","title":"Time-Stepped Finite-Element Modeling of Three-Phase Transformer for Electromagnetic Transient Emulation on FPGA","year":2021,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Finite element method; Solver; Transformer; Computer science; Emulation; Computational science; Electronic engineering; Voltage; Electrical engineering; Engineering; Computer hardware","authors":[{"name":"Qingjie Xu","is_ca":true},{"name":"Peng Liu","is_ca":true},{"name":"Venkata Dinavahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02998625565989128,"gpt":0.3134142729510975,"spread":0.2834280172912063,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002059797,0.0001293399,0.0003429279,0.0001170189,0.00004439249,0.0001904083,0.0002202166,0.00005262488,0.0001544097],"category_scores_gemma":[0.000008820229,0.0001122385,0.0001188253,0.0001192682,0.000008467562,0.0005390312,0.000006639998,0.00006745697,6.145858e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002763796,"about_ca_system_score_gemma":0.00004583367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002391828,"about_ca_topic_score_gemma":0.00003902408,"domain_scores_codex":[0.9989013,0.00003043004,0.0005995169,0.0001088044,0.0001973013,0.0001626479],"domain_scores_gemma":[0.999445,0.00007036341,0.0001072752,0.0001002997,0.000190383,0.00008672965],"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":[0.0003311546,0.00008700883,0.000003529664,0.00003476714,0.0001243163,0.000004843544,0.0001464168,0.9472546,0.03508773,0.0001395774,0.0001606691,0.0166254],"study_design_scores_gemma":[0.004297918,0.0005042895,0.00003418516,0.0001028073,0.00006674718,0.00001127169,0.00003682877,0.9757248,0.01720902,0.0002487338,0.0016291,0.0001343092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3003247,0.000797865,0.6902742,0.0001506561,0.0004264551,0.0002145772,0.00001663042,0.00001241553,0.007782398],"genre_scores_gemma":[0.9993872,0.0001157902,0.0001925904,0.00005321903,0.00006553895,0.00001052191,0.000008528862,0.00002117741,0.0001454274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6990625,"threshold_uncertainty_score":0.4576954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410614248","doi":"10.1109/oajpe.2025.3572769","title":"Efficient, Robust, and Comprehensive Fault Calculation of IBR-Rich Systems Considering Diverse Controls","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Hong Kong Polytechnic University","keywords":"Fault (geology); Computer science; Reliability engineering; Geology; Engineering; Seismology","authors":[{"name":"Xinquan Chen","is_ca":false},{"name":"Aboutaleb Haddadi","is_ca":false},{"name":"Zhe Yang","is_ca":false},{"name":"Evangelos Farantatos","is_ca":false},{"name":"Ilhan Koçar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02512167398239431,"gpt":0.2940185517953395,"spread":0.2688968778129452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001557319,0.0001257096,0.0004341067,0.0002073277,0.00006771517,0.0003503442,0.0002232203,0.00006784366,0.000006783016],"category_scores_gemma":[0.00001779466,0.0001071715,0.0000468862,0.0001630272,0.00003771327,0.0003089382,0.000076863,0.00009789741,2.682642e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141215,"about_ca_system_score_gemma":0.00002368201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003908421,"about_ca_topic_score_gemma":0.0000340832,"domain_scores_codex":[0.9990966,0.00006070629,0.0004778504,0.0001011618,0.0001384372,0.0001252046],"domain_scores_gemma":[0.9993408,0.0001049949,0.0001822459,0.0000934308,0.0002023519,0.00007620222],"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":[0.000102196,0.00001714713,0.0007935427,0.0001057314,0.0002685409,0.00001750698,0.0001464376,0.982163,0.01287918,0.0006963776,0.001115847,0.001694482],"study_design_scores_gemma":[0.006379225,0.0001405276,0.006695574,0.0008141546,0.0001813822,0.0002498452,0.001664752,0.9609956,0.004336495,0.0000666322,0.01810578,0.0003700926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549927,0.004968274,0.03087335,0.00004208932,0.00228285,0.0001368832,0.00000732942,0.00001959894,0.006676908],"genre_scores_gemma":[0.9995357,0.0001445613,0.00003268076,0.00004296121,0.00004400569,0.000004614632,3.851789e-7,0.000009119806,0.0001859176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04454304,"threshold_uncertainty_score":0.4370326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7082668014","doi":"10.1109/oajpe.2025.3612851","title":"A Novel Hypothesis Testing-Based Scheme for Root Cause Classification of Disturbances in Distribution Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disturbance (geology); Control theory (sociology); Waveform; Electric power system; Root mean square; Power (physics); Voltage; Power quality","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08313523873859616,"gpt":0.3313857033490016,"spread":0.2482504646104054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004715963,0.00007935912,0.0002165806,0.00007572388,0.00005721651,0.0003376215,0.001034061,0.0000488956,0.000001004642],"category_scores_gemma":[0.0004382826,0.0000641189,0.00003490889,0.0003359067,0.00003352664,0.0006180988,0.0001145812,0.0000574558,3.198988e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003092324,"about_ca_system_score_gemma":0.0001348112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123903,"about_ca_topic_score_gemma":0.00003934425,"domain_scores_codex":[0.9992094,0.00003061354,0.0003920311,0.0001502414,0.0001026204,0.000115113],"domain_scores_gemma":[0.9987441,0.0003485974,0.0003908977,0.0001538672,0.0003266341,0.00003586707],"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":[0.001291167,0.002819058,0.2455181,0.002007112,0.0005737303,0.00006387776,0.0004909458,0.0776889,0.2825017,0.2997997,0.02408768,0.06315799],"study_design_scores_gemma":[0.006066637,0.0004903207,0.3747825,0.002715628,0.00008936092,0.00008938333,0.000185504,0.4525734,0.1010204,0.02130323,0.0399707,0.0007128816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08749969,0.0003394396,0.9076126,0.001758777,0.0003881073,0.00008668069,0.00001141483,0.00000604651,0.002297263],"genre_scores_gemma":[0.99629,0.000006379746,0.003457995,0.00004033083,0.00001835983,0.00001520256,0.000001637232,0.000001111886,0.0001689629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9087903,"threshold_uncertainty_score":0.3255692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413472116","doi":"10.1109/oajpe.2025.3602014","title":"Excitation System Output Quantities-Based Loss of Excitation Detection in Synchronous Generators","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Excitation; Physics; Quantum mechanics","authors":[{"name":"Abbas Hasani","is_ca":true},{"name":"Xiaodong Liang","is_ca":true},{"name":"Majid Sanaye‐Pasand","is_ca":false},{"name":"Moein Abedini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02222037489532372,"gpt":0.3238187523731927,"spread":0.3015983774778689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003157789,0.00008351921,0.0001939257,0.0003718548,0.00007425707,0.0004293027,0.0007210359,0.00003484001,0.000001424433],"category_scores_gemma":[0.00001163216,0.00007914761,0.00004779975,0.0006096182,0.00002657734,0.001160789,0.00009692951,0.00006526354,3.804658e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007627169,"about_ca_system_score_gemma":0.0002167077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003876612,"about_ca_topic_score_gemma":0.0001007844,"domain_scores_codex":[0.9990619,0.0000826247,0.0004496097,0.000143758,0.000175919,0.00008619851],"domain_scores_gemma":[0.9990126,0.0001329739,0.000354155,0.0001419289,0.0003180492,0.00004025555],"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":[0.0001406698,0.000313117,0.001856711,0.0001740351,0.0001021127,0.00001948153,0.0006279603,0.1454422,0.006463702,0.7331961,0.0006135417,0.1110504],"study_design_scores_gemma":[0.004189827,0.0005398202,0.1570493,0.0009521153,0.00006510232,0.00005934524,0.0004820633,0.6777129,0.03712511,0.1184326,0.002758375,0.0006334768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2606614,0.0001265058,0.7375645,0.0001681265,0.0004440184,0.00004538748,0.000001589563,0.000005508065,0.0009828984],"genre_scores_gemma":[0.9971573,0.00001978965,0.002636213,0.0001065513,0.00003102567,0.00001048108,0.000001487999,0.000004163868,0.00003295664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7364959,"threshold_uncertainty_score":0.4139776,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413822038","doi":"10.1109/oajpe.2025.3603992","title":"A Dynamic Retail Market Model to Investigate Sustainability of Retail Contracts in DERs-Penetrated Markets","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; University of Calgary; Phoenix Technologies (Canada); Burnaby Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; AltaLink; Alberta Electric System Operator","keywords":"Sustainability; Business; Retail market; Industrial organization; Commerce; Marketing","authors":[{"name":"Sumedha Sharma","is_ca":true},{"name":"Haotian Yao","is_ca":true},{"name":"Mostafa Farrokhabadi","is_ca":true},{"name":"Hamidreza Zareipour","is_ca":true},{"name":"Petr Musı́lek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03075131904521745,"gpt":0.3180841200164409,"spread":0.2873328009712235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733963,0.0002204533,0.0005630673,0.0007970007,0.00009027884,0.0009174965,0.001109128,0.00009614324,0.0002754866],"category_scores_gemma":[0.0004397332,0.0001985378,0.00008791826,0.001021483,0.00008514635,0.00299913,0.0006066948,0.0002310239,4.136935e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008653609,"about_ca_system_score_gemma":0.0003155858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320981,"about_ca_topic_score_gemma":0.00215291,"domain_scores_codex":[0.9982455,0.00007778333,0.0008447466,0.0002747898,0.0002371652,0.0003200139],"domain_scores_gemma":[0.9984086,0.0001265183,0.0004748998,0.0002559358,0.0006773758,0.00005666159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0108229,0.0009955617,0.7238698,0.001332164,0.0004907194,0.0005785747,0.0004382776,0.01396955,0.006852453,0.00522351,0.03468025,0.2007462],"study_design_scores_gemma":[0.005296465,0.00006425274,0.8659483,0.001333337,0.0004170779,0.00002546187,0.0007303999,0.07826323,0.0006347044,0.022569,0.02385181,0.0008659937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951611,0.0003568131,0.001388275,0.001839002,0.0004181572,0.0001867481,0.000002613025,0.000008840946,0.0441885],"genre_scores_gemma":[0.9963833,0.0001021251,0.0001351221,0.00136785,0.00002046499,0.000008931065,0.000001774412,0.00001617771,0.001964217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1998802,"threshold_uncertainty_score":0.884744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410614224","doi":"10.1109/oajpe.2025.3572718","title":"Data Driven Reduced Pi-Model of Feeders for Distribution Network Representation With DERs for Fast Reconfiguration","year":2025,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Representation (politics); Distribution (mathematics); Pi; Computer science; Mathematics; Embedded system; Mathematical analysis; Political science; Geometry","authors":[{"name":"Tharmini Thavaratnam","is_ca":true},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05584790966201754,"gpt":0.3521594307823991,"spread":0.2963115211203816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631871,0.000115373,0.0002522864,0.00006312451,0.00008452988,0.0002775729,0.0005912542,0.00005659609,0.000003077928],"category_scores_gemma":[0.00004540227,0.000104175,0.00004455002,0.0001879508,0.00003212347,0.001828461,0.00006835745,0.00006413698,3.643291e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007376924,"about_ca_system_score_gemma":0.00009185439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003699443,"about_ca_topic_score_gemma":0.00009415115,"domain_scores_codex":[0.9991352,0.00001847714,0.000423328,0.0001602052,0.0001030195,0.0001597742],"domain_scores_gemma":[0.9991414,0.00007368595,0.0002290145,0.0002096556,0.0002947623,0.00005147702],"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":[0.0007672328,0.00003231275,0.0001387925,0.00006582437,0.0002227005,5.855709e-7,0.00003621041,0.9055769,0.005623029,0.00170876,0.08006719,0.005760446],"study_design_scores_gemma":[0.00305691,0.0003310404,0.001000757,0.0003718927,0.0002757277,0.00001322866,0.0002820532,0.9636953,0.02306597,0.003037981,0.004582846,0.0002862658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03798759,0.0001094651,0.9594291,0.0002685827,0.0005676193,0.0002099807,0.0004328196,0.00001055638,0.0009842349],"genre_scores_gemma":[0.9952291,0.0001428934,0.00374216,0.00002886223,0.00006514197,0.00002199656,0.0006919466,0.00001415722,0.00006374542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9572415,"threshold_uncertainty_score":0.4248135,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402301193","doi":"10.1109/oajpe.2024.3455756","title":"Floating Neutral Detection Using Actual Generation of Form 2S Meters","year":2024,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Environmental science; Mathematics","authors":[{"name":"I. Vicente","is_ca":false},{"name":"Amaia Arrinda","is_ca":false},{"name":"J.E. Rodríguez-Seco","is_ca":false},{"name":"Lakshan Piyasinghe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08927196806565159,"gpt":0.3367579913583525,"spread":0.2474860232927009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002144816,0.00007649985,0.0001534039,0.0001322698,0.00005274699,0.0006009476,0.0003236928,0.00004000656,0.00001066824],"category_scores_gemma":[0.000001189311,0.00006335804,0.00005121481,0.0001262955,0.00001190784,0.001542694,0.00006360998,0.00008936742,2.211879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004077684,"about_ca_system_score_gemma":0.00002002034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002315154,"about_ca_topic_score_gemma":0.0001021431,"domain_scores_codex":[0.9993798,0.00003000998,0.0003556316,0.00005846508,0.00008947065,0.00008667284],"domain_scores_gemma":[0.9997102,0.00002189725,0.00008363973,0.00008133818,0.00005837476,0.0000445691],"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":[0.00001759565,0.0000116296,0.00004397022,0.00005619989,0.0001687176,0.000006079578,0.001055024,0.04678074,0.8847318,0.000156811,0.0001109087,0.06686047],"study_design_scores_gemma":[0.000269363,0.00007936461,0.0001084961,0.0001713215,0.00004545534,0.0001768763,0.0002559313,0.2065966,0.7845449,0.0002139824,0.007396196,0.0001415805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561054,0.0007787588,0.1417636,0.00001955077,0.000570731,0.00002011719,0.000001324445,0.00001106668,0.0007293932],"genre_scores_gemma":[0.99875,0.0002096193,0.0008333315,0.00001668491,0.0001459641,9.84472e-7,7.120277e-7,0.00001518482,0.00002752401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1598158,"threshold_uncertainty_score":0.5794951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}