{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":136,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":136,"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":"17b85c177408","filters":{"venue":"International Journal of Electrical Power & Energy Systems"}},"results":[{"id":"W2008048828","doi":"10.1016/j.ijepes.2010.08.007","title":"Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm","year":2010,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":207,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Observability; Phasor; Mathematical optimization; Units of measurement; Particle swarm optimization; Transmission (telecommunications); Transmission line; Constraint (computer-aided design); Algorithm; Control theory (sociology); Computer science; Mathematics; Electric power system; Power (physics); Applied mathematics","authors":[{"name":"Mahdi Hajian","is_ca":true},{"name":"Ali Mohammad Ranjbar","is_ca":false},{"name":"Turaj Amraee","is_ca":false},{"name":"Babak Mozafari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01050654490855565,"gpt":0.2423628061715389,"spread":0.2318562612629832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009877116,0.0002143514,0.0004878882,0.0002488179,0.00003649293,0.00007837589,0.0005751076,0.0001518248,0.00007727623],"category_scores_gemma":[0.0001780234,0.0001954587,0.0002092167,0.000373807,0.00003389418,0.0001769157,0.00005639605,0.0003420372,0.00000239044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358833,"about_ca_system_score_gemma":0.0001313502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001264366,"about_ca_topic_score_gemma":0.00001553652,"domain_scores_codex":[0.9972275,0.0001377754,0.001271162,0.0001906572,0.0008316297,0.0003412568],"domain_scores_gemma":[0.9980826,0.0001692828,0.0003343284,0.0002427907,0.0009030317,0.0002679771],"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":[0.0001152355,0.0001100719,0.0004343356,0.000008556337,0.0002482897,0.00002390955,0.00008348764,0.9889557,0.003381085,0.005403749,0.0007598074,0.0004757794],"study_design_scores_gemma":[0.0007487539,0.0002163167,0.0004300761,0.00007950782,0.00002510053,0.0002401158,0.00005577934,0.987227,0.001120278,0.0001262962,0.00947797,0.0002527783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1348187,0.0002778426,0.8576851,0.00006486475,0.006031467,0.0001329301,0.00001989452,0.00003947716,0.0009297405],"genre_scores_gemma":[0.9860436,0.00000985095,0.01344041,0.00004799384,0.0003744155,0.000005808499,0.000004252929,0.00002841877,0.00004529117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8512248,"threshold_uncertainty_score":0.7970575,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211338353","doi":"10.1016/j.ijepes.2021.107669","title":"Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":199,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"London Hydro; Western University","funders":"","keywords":"Smart meter; Computer science; Smart grid; Real-time computing; Metre; Artificial neural network; Scale (ratio); Gradient descent; Machine learning; Data mining; Artificial intelligence; Engineering","authors":[{"name":"Mohammad Navid Fekri","is_ca":true},{"name":"Katarina Grolinger","is_ca":true},{"name":"Syed Mir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.050177199457022,"gpt":0.284355475228485,"spread":0.234178275771463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0008292092,0.000224305,0.000374119,0.000206291,0.0001374641,0.0008139607,0.01034735,0.0001284563,0.000004690735],"category_scores_gemma":[0.009276546,0.000180256,0.00008834752,0.0008487603,0.00004213232,0.00151489,0.01118462,0.000754456,6.285342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578277,"about_ca_system_score_gemma":0.0003223201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000954796,"about_ca_topic_score_gemma":0.00001268697,"domain_scores_codex":[0.996745,0.0003394201,0.0007849056,0.0004323887,0.001219046,0.0004792417],"domain_scores_gemma":[0.9957144,0.0004127281,0.0008065851,0.001353793,0.001567368,0.0001451295],"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":[0.001394423,0.00227286,0.04677465,0.00005699826,0.008303752,0.01990971,0.0002257085,0.4913169,0.008000026,0.02096164,0.2415633,0.15922],"study_design_scores_gemma":[0.0004693187,0.0001718468,0.00009375261,0.0001732849,0.00002145422,0.004173257,0.0000178379,0.9873607,0.0003665142,0.000206685,0.006741136,0.0002042661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01525431,0.002199126,0.9773542,0.001754747,0.003188062,0.00003810849,0.00001358866,0.0001029647,0.00009493925],"genre_scores_gemma":[0.9812131,0.00006122625,0.01810693,0.000107781,0.0003941353,0.000001970322,0.00007553575,0.00001951565,0.00001984098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9659588,"threshold_uncertainty_score":0.9990687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992778383","doi":"10.1016/j.ijepes.2006.02.014","title":"An efficient approach for short term load forecasting using artificial neural networks","year":2006,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec","funders":"","keywords":"Artificial neural network; Term (time); Computer science; Wind speed; Meteorology; Artificial intelligence; Geography","authors":[{"name":"Nahi Kandil","is_ca":true},{"name":"R. Wamkeue","is_ca":true},{"name":"Maarouf Saad","is_ca":true},{"name":"Georges Semaan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02098137224467834,"gpt":0.2426970252067401,"spread":0.2217156529620618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004485573,0.0002547655,0.0003594069,0.0002855079,0.00009093145,0.0002272006,0.0004626332,0.0001542508,0.00000386316],"category_scores_gemma":[0.0000381129,0.0002302075,0.0002431751,0.00023173,0.00002844748,0.0002160932,0.00002043327,0.0002704093,1.581637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004372913,"about_ca_system_score_gemma":0.00005570295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009616039,"about_ca_topic_score_gemma":0.000007796207,"domain_scores_codex":[0.9976123,0.00005605447,0.0009893409,0.0002063687,0.0006729909,0.0004629681],"domain_scores_gemma":[0.9988153,0.0001293568,0.0002357033,0.0001216597,0.0005543854,0.0001435848],"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":[0.00008590113,0.0001205094,0.0003346466,0.000005997401,0.0001172578,0.00004607911,0.00002261054,0.9856944,0.004611629,0.005644841,0.0001494663,0.003166648],"study_design_scores_gemma":[0.0003014673,0.0001580403,0.00005199614,0.00005252114,0.00003239588,0.0007031485,0.00001571153,0.9968705,0.000907155,0.00006788552,0.0005981193,0.0002410253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2501765,0.001007898,0.7438281,0.000005724981,0.003519813,0.00007040862,0.000006807868,0.00006429055,0.001320429],"genre_scores_gemma":[0.9939418,0.000004591263,0.001924546,0.00001843108,0.00399468,0.000008357116,0.00002755855,0.00006102011,0.00001896579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7437653,"threshold_uncertainty_score":0.938759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3112335786","doi":"10.1016/j.ijepes.2020.106646","title":"Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Virtual power plant; Bidding; Exploit; Demand response; Profit (economics); Diversification (marketing strategy); Electricity market; Computer science; Renewable energy; Electricity; Distributed generation; Engineering; Reliability engineering; Operations research; Electrical engineering; Economics; Business; Computer security; Microeconomics","authors":[{"name":"Saleh Sadeghi Gougheri","is_ca":false},{"name":"Hamidreza Jahangir","is_ca":false},{"name":"Behzad Vatandoust","is_ca":false},{"name":"Masoud Aliakbar Golkar","is_ca":false},{"name":"Ali Ahmadian","is_ca":false},{"name":"Ali Elkamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007882975602796055,"gpt":0.1955890147772782,"spread":0.1877060391744821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838772,0.0002304618,0.0004148736,0.0005795172,0.00002154009,0.00007712799,0.0003606337,0.0001308459,0.00003446668],"category_scores_gemma":[0.0001227175,0.0002205141,0.0001125474,0.0003990628,0.00003408253,0.0002505752,0.00003983311,0.0002703801,5.693226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627747,"about_ca_system_score_gemma":0.00005483173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001070566,"about_ca_topic_score_gemma":0.00001064972,"domain_scores_codex":[0.9976547,0.0001880891,0.0009383976,0.0002210665,0.0007310905,0.000266706],"domain_scores_gemma":[0.9990422,0.0001751521,0.0003278136,0.00009287838,0.0002024733,0.0001595571],"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":[0.0001845206,0.00007688453,0.0005559906,0.00001224942,0.0002718244,0.0001030095,0.0001325993,0.9793783,0.003125195,0.01462996,0.0004108417,0.001118626],"study_design_scores_gemma":[0.001185225,0.0004719742,0.002501807,0.0001142758,0.00002232666,0.00009777312,0.0001189315,0.9891264,0.0008759358,0.00004936045,0.005191184,0.0002447584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079966,0.004006725,0.7788,0.00022719,0.001564582,0.0001090197,0.00001262126,0.0001055246,0.00717775],"genre_scores_gemma":[0.9991052,0.00009313937,0.0003648937,0.00005907651,0.0002730872,0.000009006651,0.00002198914,0.00003984608,0.00003377194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7911086,"threshold_uncertainty_score":0.8992303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2592683581","doi":"10.1016/j.ijepes.2017.02.008","title":"Adaptive intelligent techniques for microgrid control systems: A survey","year":2017,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Deanship of Scientific Research, King Saud University; King Fahd University of Petroleum and Minerals","keywords":"Microgrid; Voltage droop; Controller (irrigation); Control engineering; Reliability (semiconductor); Particle swarm optimization; Stability (learning theory); Fuzzy logic; Distributed generation; Intelligent control; Engineering; Grid; Computer science; Control theory (sociology); Adaptive control; Control (management); Power (physics); Voltage; Renewable energy; Voltage regulator","authors":[{"name":"Magdi S. Mahmoud","is_ca":false},{"name":"Nezar M. Alyazidi","is_ca":false},{"name":"Mohammed Abouheaf","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01226647273274904,"gpt":0.2429040073080813,"spread":0.2306375345753323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023897,0.0002041579,0.0004463963,0.0002675218,0.000092753,0.0004340744,0.0008411629,0.000140895,0.000006757286],"category_scores_gemma":[0.0002548232,0.0001731359,0.0002129892,0.00005615808,0.00003487772,0.000289776,0.00002417107,0.0001817156,0.000002875614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002993298,"about_ca_system_score_gemma":0.00006580121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003382448,"about_ca_topic_score_gemma":0.00002602399,"domain_scores_codex":[0.9982759,0.00009946678,0.0008068561,0.0001481512,0.000404297,0.0002652858],"domain_scores_gemma":[0.9973962,0.0002533104,0.0005887282,0.0002042474,0.001437108,0.0001204633],"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":[0.005097606,0.0007823941,0.004183724,0.00009771851,0.01046621,0.0003862237,0.0002731159,0.6992273,0.02086077,0.03083579,0.09043743,0.1373517],"study_design_scores_gemma":[0.002623802,0.0008553494,0.0008972051,0.0003608525,0.0001070913,0.0005021735,0.00003548563,0.8024699,0.004173896,0.0002176079,0.1871891,0.0005675093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001020701,0.01593099,0.9748533,0.0001554113,0.00679519,0.0003185273,0.0001246018,0.00008846869,0.0007128202],"genre_scores_gemma":[0.9974351,0.0008615401,0.0003552862,0.00004523211,0.001093153,0.00004375681,0.00001398601,0.00003930199,0.0001126772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964144,"threshold_uncertainty_score":0.7060277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1189151426","doi":"10.1016/j.ijepes.2015.07.035","title":"Home energy management incorporating operational priority of appliances","year":2015,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Demand response; Electricity; Scheduling (production processes); Load management; Energy management; Computer science; Electricity market; Operations research; Reliability (semiconductor); Load shifting; Energy consumption; Environmental economics; Operational costs; Consumption (sociology); Energy management system; Reliability engineering; Business; Operations management; Energy (signal processing); Engineering; Economics; Electrical engineering; Power (physics)","authors":[{"name":"Mohammad Rastegar","is_ca":false},{"name":"Mahmud Fotuhi‐Firuzabad","is_ca":false},{"name":"Hamidreza Zareipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0103242716637685,"gpt":0.2222171981621766,"spread":0.211892926498408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004667546,0.0002006158,0.0003579508,0.0004685141,0.00002349269,0.00008849317,0.0006665871,0.00008021384,0.00001415962],"category_scores_gemma":[0.00003208198,0.0001827782,0.0001283489,0.0003411939,0.00003680199,0.0003237504,0.00008644741,0.0001444734,0.000004230252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399508,"about_ca_system_score_gemma":0.00007466158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001136845,"about_ca_topic_score_gemma":0.000008717333,"domain_scores_codex":[0.9972839,0.0000732413,0.0009843794,0.0001576431,0.001281102,0.0002197364],"domain_scores_gemma":[0.9985473,0.00006307752,0.0003702805,0.0001558482,0.0006920263,0.0001714484],"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":[0.00009354797,0.0001436292,0.00135076,0.00001758047,0.001024043,0.0001810863,0.00005255658,0.6903118,0.000696114,0.2869401,0.01597382,0.003214904],"study_design_scores_gemma":[0.005045807,0.0009430222,0.002978026,0.0005000852,0.0001681317,0.0007155298,0.0003571527,0.3598136,0.006898969,0.007608087,0.6137334,0.001238207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06277072,0.01024086,0.8275848,0.0005486415,0.02578774,0.0002148838,0.00002366284,0.0002392294,0.07258944],"genre_scores_gemma":[0.9971853,0.0001705039,0.001193741,0.00007524649,0.0009323341,0.00001463157,0.00001072148,0.00002984734,0.0003877078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9344146,"threshold_uncertainty_score":0.745348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3215327393","doi":"10.1016/j.ijepes.2021.107784","title":"Electric vehicle attack impact on power grid operation","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Software deployment; Grid; Electric vehicle; Vulnerability (computing); Computer security; Greenhouse gas; Electric power system; Incentive; Computer science; Automotive engineering; Power (physics); Environmental economics; Environmental science; Engineering","authors":[{"name":"Mohammad Ali Sayed","is_ca":true},{"name":"Ribal Atallah","is_ca":true},{"name":"Chadi Assi","is_ca":true},{"name":"Mourad Debbabi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006781747127132029,"gpt":0.2487775831516619,"spread":0.2419958360245299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050656,0.0001885869,0.0002854348,0.0003094954,0.00004607962,0.0001753883,0.0003874851,0.0001271553,0.0001254445],"category_scores_gemma":[0.0001134814,0.0001485393,0.0002369113,0.0003950295,0.00001436718,0.0002766646,0.00002035038,0.0003839878,0.0000382385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443923,"about_ca_system_score_gemma":0.0001542624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002274963,"about_ca_topic_score_gemma":0.000003470902,"domain_scores_codex":[0.9980381,0.0001028079,0.0005797828,0.0001599924,0.0008303576,0.000289028],"domain_scores_gemma":[0.998826,0.0001581061,0.0001353767,0.0001407802,0.0005748211,0.0001648876],"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":[0.0003391996,0.0005247203,0.001541316,0.000009716307,0.001128762,0.001523911,0.0002439192,0.7949865,0.115388,0.00964631,0.07322855,0.001439094],"study_design_scores_gemma":[0.004158632,0.003195319,0.02309461,0.0005326417,0.000100568,0.007744387,0.0001414861,0.4973899,0.173215,0.0003699652,0.288513,0.001544568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699555,0.006094625,0.006081844,0.0003826991,0.01066943,0.00005942908,0.0000118691,0.00007653958,0.006668034],"genre_scores_gemma":[0.998189,0.0003673472,0.00001727331,0.0001802799,0.001016997,0.00000278378,0.000007716118,0.00002590933,0.0001927293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2975966,"threshold_uncertainty_score":0.6057258,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990193139","doi":"10.1016/j.ijepes.2014.11.027","title":"Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network","year":2014,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial neural network; Computer science; Wavelet transform; Fuzzy logic; Maxima and minima; Term (time); Artificial intelligence; Selection (genetic algorithm); Genetic algorithm; Neuro-fuzzy; Adaptive neuro fuzzy inference system; Wavelet; Algorithm; Pattern recognition (psychology); Machine learning; Fuzzy control system; Mathematics","authors":[{"name":"D. K. Chaturvedi","is_ca":false},{"name":"Abhijit Sinha","is_ca":false},{"name":"O.P. Malik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01434534247282897,"gpt":0.2310390309815314,"spread":0.2166936885087024,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000492348,0.0003035163,0.0004880371,0.0002416104,0.00006815914,0.0001750873,0.000390886,0.0001716124,0.00001419238],"category_scores_gemma":[0.00005754536,0.0002450653,0.0001920776,0.0002666433,0.00004356883,0.0002840572,0.00002657986,0.0003772936,9.163018e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342614,"about_ca_system_score_gemma":0.00005473151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009481217,"about_ca_topic_score_gemma":0.00002395431,"domain_scores_codex":[0.9977028,0.0001001009,0.0008922359,0.0001881915,0.0006318436,0.0004848554],"domain_scores_gemma":[0.9989406,0.0001254231,0.0001752775,0.0001110659,0.0004173601,0.0002302787],"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":[0.0003435298,0.00009289094,0.002202669,0.00002736679,0.001076992,0.0002775824,0.0002234718,0.8559902,0.01350178,0.02866794,0.002280915,0.0953147],"study_design_scores_gemma":[0.001349848,0.0003675646,0.0004018226,0.0003038958,0.0000783802,0.002682486,0.00001952984,0.9459283,0.001118672,0.001203614,0.04599735,0.000548515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7784115,0.006722724,0.1950393,0.0001516572,0.009151607,0.0001179474,0.0000137147,0.0001653265,0.01022615],"genre_scores_gemma":[0.9970101,0.0001941896,0.0009262761,0.0001133862,0.001599209,0.000003433606,0.00001184963,0.00005112223,0.00009046793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2185985,"threshold_uncertainty_score":0.9993474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207851938","doi":"10.1016/j.ijepes.2021.107556","title":"Bibliographic review on power system oscillations damping: An era of conventional grids and renewable energy integration","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric power system; Maximum power transfer theorem; Electric power transmission; Renewable energy; Grid; Computer science; Power transmission; Transmission system; Engineering; Power (physics); Control engineering; Transmission (telecommunications); Electrical engineering","authors":[{"name":"Zimran Rafique","is_ca":false},{"name":"Haris M. Khalid","is_ca":false},{"name":"S. M. Muyeen","is_ca":false},{"name":"Innocent Kamwa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009831396370139706,"gpt":0.2388631139079675,"spread":0.2290317175378278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005884338,0.0002160392,0.0005345133,0.0009197737,0.00005152891,0.000116653,0.0002873669,0.0001311312,0.0000802917],"category_scores_gemma":[0.0001538646,0.0001912151,0.0002325919,0.00134003,0.00004077736,0.0003847865,0.00002503611,0.0002202711,0.000001119669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021196,"about_ca_system_score_gemma":0.0001448429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456435,"about_ca_topic_score_gemma":0.00004055613,"domain_scores_codex":[0.9971458,0.0002512258,0.001294155,0.0002292197,0.0008875076,0.0001920382],"domain_scores_gemma":[0.9972295,0.0001679741,0.0004544372,0.0002345574,0.001722123,0.0001914094],"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":[0.0005337455,0.001676603,0.004754789,0.001220377,0.003758001,0.0004614154,0.0004456781,0.3810847,0.01623767,0.5198992,0.06568983,0.004238004],"study_design_scores_gemma":[0.007294208,0.003181044,0.008215625,0.02888045,0.0005887072,0.00798002,0.001026102,0.5373394,0.01700496,0.001572786,0.3842246,0.002692114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01311035,0.1000276,0.8421948,0.000856781,0.0122003,0.0002922898,0.0001489688,0.0002510297,0.03091791],"genre_scores_gemma":[0.9948938,0.004442817,0.000193289,0.0001347912,0.0001035937,0.00001001392,0.00005150837,0.00002660631,0.0001436148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9817834,"threshold_uncertainty_score":0.7797526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3093502878","doi":"10.1016/j.ijepes.2020.106561","title":"Optimal planning and investment benefit analysis of shared energy storage for electricity retailers","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canada School of Energy and Environment","keywords":"Energy storage; Investment (military); Electricity; Environmental economics; Investment analysis; Business; Electricity market; Energy (signal processing); Electricity retailing; Computer science; Operations research; Industrial organization; Economics; Electrical engineering; Finance; Engineering; Power (physics); Financial risk; Mathematics","authors":[{"name":"Jichun Liu","is_ca":false},{"name":"Xue Chen","is_ca":false},{"name":"Yue Xiang","is_ca":false},{"name":"Da Huo","is_ca":false},{"name":"Junyong Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01415395892548893,"gpt":0.2263133826057527,"spread":0.2121594236802637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002086787,0.0002144319,0.0005807905,0.0007986561,0.00002788192,0.00007858777,0.0004387531,0.00009460977,0.00001674053],"category_scores_gemma":[0.00009014024,0.0002046366,0.0002804596,0.0007572119,0.00002251827,0.0001949382,0.00005032717,0.0001392451,2.493405e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688582,"about_ca_system_score_gemma":0.00003338365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006696372,"about_ca_topic_score_gemma":0.000004289997,"domain_scores_codex":[0.997975,0.00004108745,0.00085925,0.0002081762,0.0006525811,0.0002639065],"domain_scores_gemma":[0.9987329,0.0001818787,0.0003754314,0.0001094667,0.000384872,0.0002155025],"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":[0.0001468834,0.0000377777,0.0005300394,0.00001131869,0.004977234,0.000044354,0.0001314974,0.969731,0.003150915,0.01728483,0.00364163,0.0003124782],"study_design_scores_gemma":[0.0007730816,0.0004392341,0.00128963,0.00004400393,0.0004816513,0.00002219347,0.00004524212,0.9558668,0.002082901,0.00006817422,0.03864975,0.0002373648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2163279,0.009745807,0.7694374,0.0004506444,0.001872029,0.000129617,0.00006496252,0.0001046424,0.001866962],"genre_scores_gemma":[0.9983971,0.0001231791,0.0006580246,0.0003109499,0.0003723518,0.00001442252,0.00002930052,0.00003302039,0.00006170946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7820691,"threshold_uncertainty_score":0.8344839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2808508431","doi":"10.1016/j.ijepes.2018.05.004","title":"Model predictive control design for DC-DC converters applied to a photovoltaic system","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":80,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Model predictive control; Control theory (sociology); Photovoltaic system; Converters; Linearization; Maximum power point tracking; Controller (irrigation); Transient (computer programming); Buck converter; Power (physics); Computer science; Engineering; Control engineering; Control (management); Voltage; Nonlinear system","authors":[{"name":"Ahmad Dehghanzadeh","is_ca":false},{"name":"Gholamreza Farahani","is_ca":false},{"name":"Hani Vahedi","is_ca":false},{"name":"Kamal Al‐Haddad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01549186812732906,"gpt":0.2523504886423956,"spread":0.2368586205150665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001090817,0.0003991744,0.0008497965,0.0008976769,0.0001172751,0.0001897818,0.001144507,0.0002803576,0.00002106013],"category_scores_gemma":[0.000331325,0.0003497052,0.0003198165,0.0004372478,0.00007985176,0.0002768148,0.00005459331,0.0001998767,0.00002287884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404718,"about_ca_system_score_gemma":0.0003785836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003821342,"about_ca_topic_score_gemma":0.00001274183,"domain_scores_codex":[0.9958044,0.000265519,0.001624408,0.0004561574,0.001310118,0.0005393588],"domain_scores_gemma":[0.9942075,0.0005289791,0.001109375,0.0003203753,0.003444191,0.0003895611],"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":[0.008324821,0.0003932706,0.00006140646,0.00003555078,0.002698879,0.00007985285,0.0006673764,0.5709537,0.234323,0.1340725,0.04722309,0.001166473],"study_design_scores_gemma":[0.002974236,0.001487694,0.000007014272,0.0002547619,0.0001027634,0.0003664378,0.0001475914,0.9180961,0.0605165,0.0006508295,0.01499682,0.0003993032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009409599,0.0001669057,0.9896599,0.00008769207,0.002444816,0.0007942144,0.0000502418,0.0002241524,0.005631107],"genre_scores_gemma":[0.9905751,0.00001096596,0.006386991,0.0008056258,0.001221929,0.0004408958,0.00001027763,0.0000961794,0.0004519964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9896342,"threshold_uncertainty_score":0.9998955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076692681","doi":"10.1016/s0142-0615(00)00061-2","title":"Power system restoration — a bibliographical survey","year":2001,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric power system; Section (typography); Power (physics); State (computer science); Computer science; Engineering; Reliability engineering; Algorithm","authors":[{"name":"D. Lindenmeyer","is_ca":true},{"name":"H.W. Dommel","is_ca":true},{"name":"M. M. Adibi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01005734854773518,"gpt":0.2294653084596793,"spread":0.2194079599119441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154977,0.0002316293,0.0004421691,0.001811214,0.00004834286,0.0002407207,0.000584038,0.0001991009,0.00006546787],"category_scores_gemma":[0.0001973448,0.000201795,0.0002310238,0.001937099,0.0000340511,0.0004183754,0.00002492469,0.0002871278,0.00001606566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482625,"about_ca_system_score_gemma":0.00008062633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155341,"about_ca_topic_score_gemma":0.00003236195,"domain_scores_codex":[0.9967787,0.0003789139,0.001238895,0.0001929108,0.00110467,0.000305906],"domain_scores_gemma":[0.9975704,0.0002361521,0.0003352897,0.0002256775,0.001384272,0.0002482154],"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":[0.002669171,0.001434328,0.1721751,0.0001119189,0.004684788,0.002481275,0.0007548649,0.501101,0.005046116,0.1219374,0.1859111,0.001692961],"study_design_scores_gemma":[0.0048022,0.001281426,0.09527268,0.0006775513,0.00009253717,0.007919786,0.0003633264,0.4053553,0.0004734149,0.0001863487,0.4818477,0.001727707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1074356,0.005985477,0.8349119,0.0002361963,0.02022794,0.0002267702,0.00005143131,0.0004374959,0.03048714],"genre_scores_gemma":[0.9992498,0.0002362005,0.00007218616,0.00004305393,0.0002042231,0.000007650951,0.00001514827,0.00003737435,0.0001343854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8918142,"threshold_uncertainty_score":0.8228963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3132337940","doi":"10.1016/j.ijepes.2020.106731","title":"Demand response integrated day-ahead energy management strategy for remote off-grid hybrid renewable energy systems","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Demand response; Energy management; Intermittent energy source; Environmental economics; Computer science; Electric power system; Energy management system; Smart grid; Peak demand; Grid; Energy storage; Incentive; Reliability engineering; Distributed generation; Engineering; Energy (signal processing); Power (physics); Electricity; Electrical engineering; Economics","authors":[{"name":"Roshani Kaluthanthrige","is_ca":true},{"name":"Athula Rajapakse","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009909350893998614,"gpt":0.2283882867581326,"spread":0.218478935864134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001178948,0.0005636491,0.0008542936,0.0009984259,0.00010362,0.0004858006,0.001063587,0.0002076055,0.00004493005],"category_scores_gemma":[0.0001760524,0.0005377557,0.0004375285,0.0006874876,0.00004434248,0.0003936646,0.0001358516,0.0002742503,0.000005213137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127722,"about_ca_system_score_gemma":0.0002313837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008524,"about_ca_topic_score_gemma":0.0001105122,"domain_scores_codex":[0.9949081,0.0005509651,0.001837709,0.0005339247,0.00139661,0.0007727028],"domain_scores_gemma":[0.9966446,0.0005175699,0.0005446598,0.0005155343,0.00141862,0.0003590881],"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":[0.0007305361,0.0001444928,0.00001170762,0.00003491267,0.002297421,0.001711424,0.00001503161,0.8624418,0.002750679,0.01629768,0.1090555,0.004508769],"study_design_scores_gemma":[0.001395221,0.0002891558,0.00004080523,0.0003130621,0.0001055651,0.0009005623,0.00007815716,0.3442874,0.006258133,0.0003576598,0.6455376,0.0004367389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0032113,0.01859849,0.9486388,0.0002767694,0.01882031,0.0001491276,0.0000922629,0.0002308144,0.009982136],"genre_scores_gemma":[0.9812765,0.002682983,0.0005037917,0.0002306003,0.002141849,0.00005705563,0.0001547179,0.0001561373,0.01279635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780652,"threshold_uncertainty_score":0.9997074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2893813000","doi":"10.1016/j.ijepes.2018.09.009","title":"Synthetic inertia control based on fuzzy adaptive differential evolution","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Inertia; Electric power system; Control engineering; Fuzzy logic; Computer science; Engineering; Frequency deviation; Converters; Automatic frequency control; Power (physics); Control (management); Voltage; Telecommunications; Artificial intelligence","authors":[{"name":"Harold R. Chamorro","is_ca":false},{"name":"Ivan Riaño","is_ca":false},{"name":"Reinhard Gerndt","is_ca":false},{"name":"Ivan Zelinka","is_ca":false},{"name":"Francisco González-Longatt","is_ca":false},{"name":"Vijay K. Sood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004253569370747849,"gpt":0.1936463528753859,"spread":0.189392783504638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706967,0.000264202,0.0004572509,0.0005958146,0.00004402998,0.000103563,0.0005432601,0.0001583574,0.00005095042],"category_scores_gemma":[0.0001639317,0.0002150236,0.0002512186,0.0002201543,0.00005045175,0.0001699045,0.000013404,0.0002994642,0.00004224616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007317293,"about_ca_system_score_gemma":0.00008883647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000085878,"about_ca_topic_score_gemma":0.000006552963,"domain_scores_codex":[0.997389,0.0001893119,0.000857178,0.0001938616,0.001031001,0.0003397175],"domain_scores_gemma":[0.9981478,0.0002622467,0.0003268271,0.0001933302,0.0008893851,0.0001803625],"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":[0.00574472,0.001156899,0.002321369,0.00003186018,0.004721263,0.0006609342,0.000202221,0.7570081,0.08498701,0.1048998,0.03262142,0.005644419],"study_design_scores_gemma":[0.003420831,0.001394945,0.001935933,0.0002792178,0.00007450356,0.0002657362,0.00001085379,0.9819873,0.001098017,0.0002708441,0.008919946,0.0003418638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05573136,0.002033758,0.8977103,0.0004966569,0.02491453,0.0002972305,0.00004332001,0.0002452994,0.01852759],"genre_scores_gemma":[0.9962686,0.000004026389,0.00002313685,0.0000992027,0.003424758,0.00001370074,0.000002830875,0.00004752748,0.0001162333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9405372,"threshold_uncertainty_score":0.8768407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4365445460","doi":"10.1016/j.ijepes.2023.109111","title":"Blockchain and cooperative game theory for peer-to-peer energy trading in smart grids","year":2023,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Blockchain; Computer science; Smart grid; Incentive; Peer-to-peer; Renewable energy; Robustness (evolution); Game theory; Demand response; Scheme (mathematics); Distributed computing; Environmental economics; Computer security; Microeconomics; Engineering; Electricity; Economics","authors":[{"name":"Md Moniruzzaman","is_ca":true},{"name":"Abdulsalam Yassine","is_ca":true},{"name":"Rachid Benlamri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009628925526890467,"gpt":0.2402463040607608,"spread":0.2306173785338703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086463,0.0002209969,0.0003662472,0.0010825,0.00003040114,0.0001221749,0.0004050076,0.00009952142,0.00001242093],"category_scores_gemma":[0.0003402934,0.0002028726,0.0001140915,0.0005878884,0.0000222475,0.000118453,0.00005269826,0.0001492878,0.000003617749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000372979,"about_ca_system_score_gemma":0.00003929139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007512514,"about_ca_topic_score_gemma":0.00003536662,"domain_scores_codex":[0.9977814,0.0001074182,0.0006992709,0.0002075092,0.0008312671,0.0003731381],"domain_scores_gemma":[0.9985785,0.0004589146,0.0001095772,0.0001087989,0.0005738953,0.0001702641],"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":[0.0002268556,0.000065468,0.000228628,0.00001127903,0.0006835266,0.00024066,0.0004993963,0.7849054,0.003077932,0.1596996,0.04646994,0.003891283],"study_design_scores_gemma":[0.001802046,0.0004571623,0.0008851036,0.0001893571,0.00003447435,0.0002197269,0.0002334436,0.5878381,0.002965775,0.002147226,0.4027528,0.0004747912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3409086,0.003472938,0.6145975,0.005755541,0.02196584,0.0004506887,0.00006517172,0.0004495688,0.01233417],"genre_scores_gemma":[0.9954312,0.00007737215,0.00009370013,0.0002219916,0.0008080787,0.00005555886,0.00001193284,0.00005359689,0.003246612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6545226,"threshold_uncertainty_score":0.8272904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008847767","doi":"10.1016/j.ijepes.2007.10.002","title":"A new optimization model for distribution substation siting, sizing, and timing","year":2007,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Sizing; Mathematical optimization; Transformer; Power flow; Nonlinear programming; Linear programming; Integer programming; Nonlinear system; Computer science; Optimization problem; Voltage; Electric power system; Engineering; Power (physics); Mathematics; Electrical engineering","authors":[{"name":"Tarek H. M. EL-Fouly","is_ca":true},{"name":"Hatem Zeineldin","is_ca":false},{"name":"Ehab F. El‐Saadany","is_ca":true},{"name":"M.M.A. Salama","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009698586468091023,"gpt":0.244205434750183,"spread":0.234506848282092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004704869,0.0001550548,0.000203028,0.000207364,0.00004583301,0.0001242294,0.0001744092,0.0001216516,0.000005022748],"category_scores_gemma":[0.0001764238,0.0001577821,0.00009635934,0.0001695001,0.00001319382,0.000407617,0.00001352383,0.0001415839,7.167058e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843469,"about_ca_system_score_gemma":0.00006118503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000278954,"about_ca_topic_score_gemma":0.000005476458,"domain_scores_codex":[0.9984665,0.00001792073,0.0006841338,0.0001307173,0.000441392,0.0002593701],"domain_scores_gemma":[0.9987253,0.0001477622,0.0002718011,0.00006205919,0.0006301268,0.0001629314],"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":[0.0001362852,0.00002529383,0.00008379114,0.00000691066,0.0001145041,0.00001033756,0.00007870987,0.98,0.002091336,0.01024052,0.002936237,0.004276076],"study_design_scores_gemma":[0.0007187084,0.0001306578,0.00009751049,0.00005798231,0.00002967896,0.0001326923,0.0000240526,0.9941398,0.001081472,0.0002512663,0.003180195,0.0001559724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009894735,0.001145367,0.987325,0.0000706854,0.001155666,0.0000821803,0.00003411888,0.00005577497,0.0002365094],"genre_scores_gemma":[0.9911195,0.00008662912,0.008027045,0.00002570354,0.0004806695,0.000003214498,0.0001375537,0.00002757671,0.00009211068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812248,"threshold_uncertainty_score":0.6434168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793763973","doi":"10.1016/j.ijepes.2017.12.017","title":"Wind power smoothing using demand response of electric vehicles","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Smoothing; Controller (irrigation); Wind power; Automotive engineering; Demand response; State of charge; Electric vehicle; Fuzzy logic; Computer science; Power (physics); Electric power system; Engineering; Control theory (sociology); Control (management); Electrical engineering; Electricity","authors":[{"name":"Mahdi Raoofat","is_ca":true},{"name":"Maarouf Saad","is_ca":true},{"name":"S. Lefebvre","is_ca":true},{"name":"Dalal Asber","is_ca":true},{"name":"H. Mehrjedri","is_ca":false},{"name":"Laurent Lenoir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006684232443690817,"gpt":0.2306966750578541,"spread":0.2240124426141633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006446553,0.0002259549,0.0004241916,0.000739475,0.00005503816,0.00008845211,0.0005851788,0.0001934669,0.0000497279],"category_scores_gemma":[0.0001913021,0.0001950477,0.0001962559,0.000631255,0.00005159905,0.0003136024,0.00003195913,0.0003643338,0.000003011109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718114,"about_ca_system_score_gemma":0.0001537051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004428497,"about_ca_topic_score_gemma":8.526707e-7,"domain_scores_codex":[0.9974937,0.0001628371,0.0009827241,0.0001584313,0.0008335849,0.0003687252],"domain_scores_gemma":[0.9980597,0.000241721,0.0004381309,0.0001563941,0.0009587407,0.000145234],"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":[0.001252715,0.00009771419,0.001517752,0.00001145197,0.000948476,0.0001587686,0.0003441104,0.04144717,0.9438235,0.003860342,0.004379586,0.002158426],"study_design_scores_gemma":[0.003882446,0.004171202,0.01349748,0.0007436365,0.0002061224,0.006036148,0.0001504788,0.3897924,0.5168967,0.002197196,0.06110617,0.001319983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648244,0.004262078,0.02785067,0.00005926009,0.001894332,0.00004881459,0.000004268209,0.00003828186,0.00101789],"genre_scores_gemma":[0.9986445,0.00008188475,0.0003063998,0.00008229497,0.0007684362,6.069895e-7,8.134347e-7,0.00004521093,0.00006982264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4269268,"threshold_uncertainty_score":0.7953815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072502186","doi":"10.1016/j.ijepes.2014.06.003","title":"Performance enhancement of hybrid AC/DC microgrid based D-FACTS","year":2014,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Islanding; Diesel generator; Total harmonic distortion; Engineering; Particle swarm optimization; Distributed generation; Turbine; Voltage; Computer science; Automotive engineering; Control theory (sociology); Electronic engineering; Renewable energy; Electrical engineering; Diesel fuel; Control (management)","authors":[{"name":"Abdelazeem A. Abdelsalam","is_ca":true},{"name":"Hossam A. Gabbar","is_ca":true},{"name":"Adel M. Sharaf","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00309647193434906,"gpt":0.1804305138334315,"spread":0.1773340418990825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730512,0.0001434667,0.0002866904,0.0002715398,0.00001855308,0.00004395733,0.0003687005,0.0000445419,0.00004652691],"category_scores_gemma":[0.00004555044,0.0001238895,0.0001314937,0.0001205886,0.00001751538,0.0001572965,0.00001365279,0.0001380093,0.000005887219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490689,"about_ca_system_score_gemma":0.00004548412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490589,"about_ca_topic_score_gemma":6.248117e-7,"domain_scores_codex":[0.9984555,0.00005017735,0.000696943,0.00009680184,0.0005056956,0.0001948716],"domain_scores_gemma":[0.9989035,0.00008378028,0.0003012407,0.0001056482,0.0005180544,0.00008773889],"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":[0.0002649442,0.0002223547,0.0007891329,0.00003972491,0.0005734348,0.00002846454,0.00003652717,0.8246891,0.1327589,0.0006942278,0.005345563,0.03455762],"study_design_scores_gemma":[0.001036954,0.0003366797,0.0001909616,0.0001347641,0.00002476138,0.0001145154,0.00000234971,0.7862209,0.1452193,0.0000154783,0.06654005,0.0001633052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3878735,0.006672446,0.5949655,0.0002079768,0.006328537,0.0001163062,0.000009456925,0.00006673429,0.003759477],"genre_scores_gemma":[0.9985193,0.0004618635,0.0004352531,0.00008713142,0.0004058928,0.000003912508,0.000008167164,0.00002004022,0.00005845321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6106458,"threshold_uncertainty_score":0.5052066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008528509","doi":"10.1016/j.ijepes.2020.105956","title":"Design of a single-phase 6.5 MVA/25 kV superconducting traction transformer for the Chinese Fuxing high-speed train","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bombardier (Canada)","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Electromagnetic coil; Transformer; Electrical engineering; Engineering; Automotive engineering; Delta-wye transformer; Electrical impedance; Train; Distribution transformer; Voltage","authors":[{"name":"Wenjuan Song","is_ca":false},{"name":"Zhenan Jiang","is_ca":false},{"name":"Mike Staines","is_ca":false},{"name":"Rodney A. Badcock","is_ca":false},{"name":"Stuart C. Wimbush","is_ca":false},{"name":"Jin Fang","is_ca":false},{"name":"Jinping Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0321958501093102,"gpt":0.2783457007607865,"spread":0.2461498506514763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003641312,0.0001882349,0.00038698,0.000115587,0.00008406131,0.00008988223,0.000426924,0.00005815116,0.00006718041],"category_scores_gemma":[0.00006640753,0.0001340982,0.0003103497,0.000244329,0.00004663037,0.001156946,0.00001087805,0.0002679497,0.000001094267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005680799,"about_ca_system_score_gemma":0.0001139208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002942696,"about_ca_topic_score_gemma":0.0000011925,"domain_scores_codex":[0.998318,0.0001166646,0.0006977577,0.0001719248,0.0004748787,0.0002207949],"domain_scores_gemma":[0.9982977,0.0006326191,0.0003872732,0.00008153691,0.0004875025,0.0001133913],"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":[0.0005176726,0.0006413541,0.00004040789,0.000009002682,0.0008072782,0.000007754545,0.001077104,0.007819125,0.9402761,0.02977965,0.0003376392,0.01868694],"study_design_scores_gemma":[0.04652636,0.01710259,0.000443142,0.0008655431,0.00162004,0.0007252353,0.0104332,0.2505356,0.5641205,0.05365466,0.05084389,0.003129255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2225599,0.0005572484,0.7727643,0.002218274,0.001334034,0.0001985597,0.00003642092,0.00001101006,0.0003202391],"genre_scores_gemma":[0.9977161,0.0000122749,0.0002547866,0.0001057961,0.001823971,0.00001096392,0.00001082337,0.00002408091,0.00004123774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7751561,"threshold_uncertainty_score":0.5468366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2931754437","doi":"10.1016/j.ijepes.2019.03.073","title":"Nonlinear control of a DC MicroGrid for the integration of distributed generation based on different time scales","year":2019,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Microgrid; Backstepping; Control theory (sociology); Computer science; Feedback linearization; Nonlinear system; Scheme (mathematics); Intermittency; Linearization; Stability (learning theory); Control engineering; Nonlinear control; Control (management); Simple (philosophy); Mathematics; Engineering; Adaptive control","authors":[{"name":"Sabah Benamane Siad","is_ca":false},{"name":"Gilney Damm","is_ca":false},{"name":"Luiz A. C. Lopes","is_ca":true},{"name":"Lilia Galaï Dol","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004783635697507262,"gpt":0.2002438849122315,"spread":0.1954602492147242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104315,0.0001285983,0.0003089072,0.0001817662,0.00001608374,0.0000364967,0.0002560688,0.00007633127,0.00001919123],"category_scores_gemma":[0.00007731324,0.00008283629,0.0002068218,0.0001061952,0.00001688609,0.00007586519,0.000005289575,0.0001036826,0.000001427615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182834,"about_ca_system_score_gemma":0.00003158171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000130091,"about_ca_topic_score_gemma":0.000003109654,"domain_scores_codex":[0.998683,0.00005718114,0.0006786101,0.00008478231,0.0003819487,0.0001144724],"domain_scores_gemma":[0.9984052,0.0003472071,0.0003761281,0.000105278,0.0007299569,0.00003618561],"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":[0.0004060008,0.0001354666,0.0001406221,0.00000888092,0.0003135577,9.457967e-7,0.00001402611,0.7058869,0.2884112,0.0006362822,0.0007606554,0.003285442],"study_design_scores_gemma":[0.001538742,0.0003910026,0.0001878946,0.00007224491,0.00003968764,0.000009141213,0.000004971615,0.9583417,0.03706296,0.00001124669,0.00226636,0.0000740349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07492134,0.002341922,0.9202527,0.0002660703,0.001722016,0.0002630008,0.0001680239,0.00001687831,0.00004798472],"genre_scores_gemma":[0.9991385,0.00009085345,0.0002024362,0.00004553228,0.0003867002,0.00001069218,0.00008477823,0.00001631127,0.00002421749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9242172,"threshold_uncertainty_score":0.3377966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402121887","doi":"10.1016/j.ijepes.2024.110206","title":"Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization","year":2024,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Particle swarm optimization; Hyperparameter; Computer science; Electricity market; Electricity; Autoregressive model; Mean squared error; Electricity price forecasting; Convolutional neural network; Autoregressive integrated moving average; Random forest; Artificial intelligence; Machine learning; Econometrics; Time series; Economics; Engineering; Statistics; Mathematics","authors":[{"name":"Hamza Mubarak","is_ca":false},{"name":"Abdallah Abdellatif","is_ca":false},{"name":"Shameem Ahmad","is_ca":false},{"name":"Md. Zohurul Islam","is_ca":false},{"name":"S. M. Muyeen","is_ca":false},{"name":"Mohammad Abdul Mannan","is_ca":false},{"name":"Innocent Kamwa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01866427074617038,"gpt":0.2298113842896211,"spread":0.2111471135434507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003814831,0.0002359421,0.0003252131,0.0007534247,0.00004428701,0.000253185,0.0001824833,0.0001365387,0.000004278188],"category_scores_gemma":[0.00008699018,0.0001925402,0.00007878202,0.0004260998,0.00002119482,0.0006265965,0.00002259777,0.0004132617,2.598716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005033111,"about_ca_system_score_gemma":0.0001269979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079674,"about_ca_topic_score_gemma":0.000009423569,"domain_scores_codex":[0.9981853,0.000063929,0.0006953407,0.0002233463,0.0005180554,0.0003140015],"domain_scores_gemma":[0.9991432,0.0001845819,0.0001594292,0.00007303306,0.0003317287,0.0001079902],"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":[0.00007150473,0.00002305996,0.0001831833,0.00001789654,0.0001822343,0.0001533588,0.0001942098,0.9949666,0.00138106,0.001151262,0.00002485985,0.001650808],"study_design_scores_gemma":[0.0004017982,0.0001216959,0.000004112949,0.0007033228,0.00003419996,0.001104082,0.00002067557,0.9968054,0.0002881006,0.0001570156,0.0001474512,0.0002121126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2334866,0.003961822,0.7606145,0.00002042923,0.00101762,0.00005025595,0.000002600263,0.00006429501,0.0007819108],"genre_scores_gemma":[0.9955938,0.0001561161,0.003774497,0.0000256993,0.0003462983,0.000005963423,0.000005017389,0.00005333459,0.00003922808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7621073,"threshold_uncertainty_score":0.7851562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043720501","doi":"10.1016/j.ijepes.2020.106346","title":"Design and control of multiphase interleaved boost converters-based on differential flatness theory for PEM fuel cell multi-stack applications","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Renewable Energy Research Center, University of Dhaka; King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"Converters; Proton exchange membrane fuel cell; Flatness (cosmology); Microgrid; Engineering; Control theory (sociology); Controller (irrigation); Boost converter; Stack (abstract data type); Electronic engineering; Voltage; Computer science; Electrical engineering; Fuel cells; Physics","authors":[{"name":"Phatiphat Thounthong","is_ca":false},{"name":"Pongsiri Mungporn","is_ca":false},{"name":"Damien Guilbert","is_ca":false},{"name":"Noureddine Takorabet","is_ca":false},{"name":"Serge Pierfederici","is_ca":false},{"name":"Babak Nahid‐Mobarakeh","is_ca":true},{"name":"Yihua Hu","is_ca":false},{"name":"Nicu Bizon","is_ca":false},{"name":"Yigeng Huangfu","is_ca":false},{"name":"Poom Kumam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01089298271482951,"gpt":0.2184626095362524,"spread":0.2075696268214229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707841,0.0001734362,0.0003724814,0.0001518018,0.00002136883,0.00005708724,0.0002702205,0.0001199445,0.00002172605],"category_scores_gemma":[0.00003895331,0.0001381056,0.0001343128,0.0000673593,0.00003613109,0.00006374253,0.00001036588,0.0001444831,0.00000191917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006414438,"about_ca_system_score_gemma":0.00003522507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004101346,"about_ca_topic_score_gemma":1.306723e-7,"domain_scores_codex":[0.9986978,0.0001081229,0.0006390298,0.000138058,0.0002592331,0.0001578122],"domain_scores_gemma":[0.9987305,0.0004659549,0.0002784148,0.00007666877,0.0003072619,0.0001411305],"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":[0.004791559,0.0006085601,0.00003145355,0.0005156132,0.001027773,0.0000527525,0.0003402302,0.5736199,0.4153644,0.001767459,0.0007379884,0.001142291],"study_design_scores_gemma":[0.005715238,0.0006083416,0.000008093295,0.00008119891,0.0000755128,0.00001771882,0.00002592731,0.9528323,0.03579587,0.00007197687,0.004596686,0.0001710893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002131861,0.002264253,0.9940523,0.00007979746,0.0009854032,0.0002683013,0.00004953297,0.00002832574,0.000140256],"genre_scores_gemma":[0.9987453,0.0001602881,0.0006018371,0.0001289705,0.0002544294,0.00003098957,0.00001079778,0.00003408415,0.00003328015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9966134,"threshold_uncertainty_score":0.5631785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804793426","doi":"10.1016/j.ijepes.2018.04.037","title":"An inclusive methodology for Plug-in electrical vehicle operation with G2V and V2G in smart microgrid environments","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Energia Elétrica; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microgrid; Plug-in; Plumbagin; Plug and play; Computer science; Automotive engineering; Electrical engineering; Engineering; Biology; Renewable energy","authors":[{"name":"Yuri R. Rodrigues","is_ca":true},{"name":"Antônio Carlos Zambroni de Souza","is_ca":false},{"name":"Paulo F. Ribeiro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007061535944644922,"gpt":0.2521649874602306,"spread":0.2451034515155857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004057473,0.0001679526,0.0003246149,0.0004453309,0.000033576,0.00006306906,0.0002796951,0.0001564101,0.000009619011],"category_scores_gemma":[0.00005028672,0.0001379129,0.00004492444,0.0002382575,0.0000424337,0.0003336635,0.0000187977,0.0002783432,8.449147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004074837,"about_ca_system_score_gemma":0.0000581881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196044,"about_ca_topic_score_gemma":0.00009455502,"domain_scores_codex":[0.9984824,0.0001464396,0.0005672278,0.0001900964,0.000310544,0.0003032735],"domain_scores_gemma":[0.9993581,0.000175645,0.0001402819,0.00008438875,0.0001368683,0.0001047632],"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":[0.003825816,0.0007850775,0.05934164,0.00002862378,0.001108279,0.0004798248,0.001388604,0.08508363,0.7303628,0.02985632,0.002214013,0.08552535],"study_design_scores_gemma":[0.01069622,0.01002508,0.05543421,0.0002232406,0.00008264324,0.002788897,0.0001342457,0.7512674,0.1032382,0.003905865,0.06105592,0.001148163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8928051,0.00229534,0.1036124,0.0001950456,0.0007117211,0.000168996,0.000005822285,0.00001831546,0.0001872574],"genre_scores_gemma":[0.9973397,0.0001709305,0.001797705,0.000146618,0.000476712,0.00001308137,0.000006565932,0.00002841603,0.0000203292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6661837,"threshold_uncertainty_score":0.5623924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297329477","doi":"10.1016/j.ijepes.2022.108610","title":"A resilience-based recovery scheme for smart grid restoration following cyberattacks to substations","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Thales (Canada); Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resilience (materials science); Smart grid; Electric power system; Reliability engineering; Computer science; Metric (unit); Grid; Computer security; Power (physics); Engineering; Electrical engineering; Operations management","authors":[{"name":"Abolfazl Rahiminejad","is_ca":true},{"name":"Jordan Plotnek","is_ca":false},{"name":"Ribal Atallah","is_ca":true},{"name":"Marc-André Dubois","is_ca":true},{"name":"Dorian Malatrait","is_ca":true},{"name":"Mohsen Ghafouri","is_ca":true},{"name":"Arash Mohammadi","is_ca":true},{"name":"Mourad Debbabi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008179908692477566,"gpt":0.2403383495896363,"spread":0.2321584408971587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004926794,0.0001351438,0.0002205251,0.0005326397,0.000169,0.0001156362,0.0004974049,0.00005359653,0.00002191116],"category_scores_gemma":[0.0002389905,0.0001358189,0.0002280802,0.0004685129,0.000011856,0.0002592349,0.00002683943,0.0002494596,0.000003067709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006115203,"about_ca_system_score_gemma":0.000185682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005089723,"about_ca_topic_score_gemma":0.00002426717,"domain_scores_codex":[0.9980215,0.00009423063,0.0006213259,0.0001591126,0.0008585863,0.0002452151],"domain_scores_gemma":[0.9989163,0.0003125703,0.0001647734,0.0001172784,0.0003530533,0.0001360467],"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":[0.0002717715,0.0001061637,0.0004598737,0.000005634233,0.0001939641,0.00008225105,0.0001740634,0.9422781,0.01229411,0.003703977,0.03997491,0.0004552228],"study_design_scores_gemma":[0.002437795,0.001903203,0.0009647492,0.0001835942,0.00005832939,0.0003552499,0.0003406027,0.3262281,0.006137649,0.0006107296,0.6600595,0.0007205917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4658599,0.00288145,0.4946799,0.001574901,0.03299505,0.0004091558,0.0001024816,0.0001379814,0.001359218],"genre_scores_gemma":[0.9978215,0.00001524966,0.0008631387,0.0002933413,0.0006755557,0.00008292663,0.00002553509,0.00002491226,0.0001978925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6200845,"threshold_uncertainty_score":0.5538535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061507872","doi":"10.1016/j.ijepes.2014.05.037","title":"Mid-term electricity market clearing price forecasting utilizing hybrid support vector machine and auto-regressive moving average with external input","year":2014,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Support vector machine; Electricity market; Electricity; Term (time); Electricity price forecasting; Least squares support vector machine; Computer science; Market clearing; Scheduling (production processes); Engineering; Artificial intelligence; Economics; Operations management","authors":[{"name":"Xing Yan","is_ca":true},{"name":"Nurul A. Chowdhury","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007533067251969994,"gpt":0.2040817412754856,"spread":0.1965486740235156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006974332,0.0003913633,0.0005515992,0.0005376453,0.000123432,0.0002911959,0.0005365888,0.0001169203,0.00005098035],"category_scores_gemma":[0.0002459573,0.0003265187,0.0001516276,0.000277078,0.00004421567,0.0005162783,0.00008717867,0.0006572791,0.000001507841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003323066,"about_ca_system_score_gemma":0.00007512078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002705,"about_ca_topic_score_gemma":0.00001196514,"domain_scores_codex":[0.9971236,0.0001435477,0.0009396361,0.0003062978,0.0009010453,0.0005859024],"domain_scores_gemma":[0.9981156,0.0004522064,0.0005833501,0.0001604775,0.0003961407,0.0002922311],"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":[0.003979041,0.0008176601,0.09540489,0.0005675427,0.006822355,0.009800676,0.002132205,0.4466797,0.1540395,0.02073224,0.004515426,0.2545088],"study_design_scores_gemma":[0.002335198,0.0009116328,0.004008085,0.001278885,0.00008729163,0.01163775,0.00002338401,0.9534976,0.01376423,0.0001576999,0.01147182,0.0008264499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7310112,0.002909391,0.2447724,0.00006014613,0.00314822,0.000112334,0.0000129302,0.0001932705,0.01778004],"genre_scores_gemma":[0.9978973,0.0001297766,0.000597117,0.00007779233,0.00094523,0.000005831977,0.000006072278,0.00008333716,0.0002575863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5068178,"threshold_uncertainty_score":0.9999187,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161725020","doi":"10.1016/j.ijepes.2006.03.005","title":"Combined detailed and quasi steady-state time simulations for large-disturbance analysis","year":2006,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Disturbance (geology); Control theory (sociology); Term (time); Steady state (chemistry); Discrete time and continuous time; Electric power system; Interval (graph theory); Computer science; Power (physics); Simple (philosophy); Steady State theory; Mathematics; Control (management); Physics; Statistics; Chemistry","authors":[{"name":"Thierry Van Cutsem","is_ca":false},{"name":"M. Grenier","is_ca":true},{"name":"D. Lefebvre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004302585799789305,"gpt":0.216934040454451,"spread":0.2126314546546617,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003224247,0.0001634928,0.0004364553,0.000438976,0.00005209228,0.0001334308,0.0002344795,0.00007662837,0.00003355342],"category_scores_gemma":[0.00008435496,0.0001467261,0.0002150156,0.0004340193,0.00001638722,0.0002001685,0.00001443945,0.0001031953,0.000002204185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005414,"about_ca_system_score_gemma":0.00003441912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003498527,"about_ca_topic_score_gemma":0.00004238853,"domain_scores_codex":[0.998254,0.00008418046,0.0008659379,0.0001519654,0.0004185783,0.0002253237],"domain_scores_gemma":[0.9985119,0.0002888977,0.0002712116,0.0001222516,0.000704826,0.0001009003],"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":[0.0001814563,0.0002762295,0.01044237,0.00001526893,0.001886368,0.00001845612,0.00009311028,0.9688898,0.0009222155,0.01382823,0.003340664,0.0001058219],"study_design_scores_gemma":[0.001238907,0.0001244282,0.003223433,0.00002053642,0.0001272135,0.00002117188,0.000009625392,0.9780079,0.0001262249,0.0003605731,0.01655159,0.0001883588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0490416,0.001564254,0.9467306,0.0001051744,0.001038238,0.0001383911,0.0001214536,0.00007341124,0.001186947],"genre_scores_gemma":[0.9985901,0.00001670512,0.0002541085,0.00002624196,0.00009709228,0.000008229438,0.00004756488,0.00002149131,0.0009384932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9495485,"threshold_uncertainty_score":0.5983318,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3031889349","doi":"10.1016/j.ijepes.2020.106212","title":"A new sensitivity approach for preventive control selection in real-time voltage stability assessment","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Qatar National Research Fund","keywords":"Thévenin's theorem; Sensitivity (control systems); Control theory (sociology); Jacobian matrix and determinant; Electric power system; Voltage; Margin (machine learning); Voltage droop; Stability (learning theory); Engineering; Power (physics); Voltage regulator; Computer science; Electronic engineering; Mathematics; Control (management); Equivalent circuit; Electrical engineering; Physics","authors":[{"name":"Khaled Alzaareer","is_ca":true},{"name":"Maarouf Saad","is_ca":true},{"name":"Hasan Mehrjerdi","is_ca":false},{"name":"Claude Ziad El‐Bayeh","is_ca":true},{"name":"Dalal Asber","is_ca":true},{"name":"S. Lefebvre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01008098474557375,"gpt":0.2405840899857673,"spread":0.2305031052401936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008821091,0.0001874606,0.0004977131,0.0001746742,0.00002337039,0.00008748568,0.0002119205,0.0001195906,0.00003646041],"category_scores_gemma":[0.0002272144,0.0001755191,0.0002058602,0.0003144871,0.00001280047,0.0002710036,0.00001487708,0.0002367532,0.000001288339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007418566,"about_ca_system_score_gemma":0.0002148615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351511,"about_ca_topic_score_gemma":0.00001226867,"domain_scores_codex":[0.9977903,0.0002919286,0.0009091332,0.0002234826,0.0005447544,0.0002403757],"domain_scores_gemma":[0.9985703,0.0002962827,0.0002759137,0.0000739549,0.0005616909,0.0002219229],"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":[0.001157714,0.0005377876,0.00821129,0.00008473712,0.00108849,0.00005020135,0.0006363408,0.9064873,0.0669285,0.006407892,0.007178193,0.001231551],"study_design_scores_gemma":[0.001903433,0.0002686699,0.002028209,0.00002864877,0.00002371861,0.00005757406,0.00004143713,0.9923307,0.0007459396,0.0000505274,0.00233746,0.0001836737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006139289,0.0001364575,0.9903013,0.000139299,0.0005768726,0.0002929573,0.00002850498,0.0000677571,0.002317552],"genre_scores_gemma":[0.9972084,0.00001681937,0.002358358,0.00005175439,0.0002425037,0.00001861379,0.00001140104,0.00002478607,0.00006732951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910691,"threshold_uncertainty_score":0.715746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W339572217","doi":"10.1016/j.ijepes.2015.04.015","title":"Probability of failure of overloaded lines in cascading failures","year":2015,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fonds De La Recherche Scientifique - FNRS; Institut national de la recherche scientifique","keywords":"Reliability engineering; Cascading failure; Probabilistic logic; Electric power system; Computer science; Reliability (semiconductor); Probability density function; Function (biology); Random variable; Engineering; Power (physics); Mathematics; Statistics","authors":[{"name":"Pierre Henneaux","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01587055572789271,"gpt":0.2319881831573965,"spread":0.2161176274295038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080495,0.0001438455,0.0004663896,0.0004897726,0.000005736978,0.00001868667,0.0004782995,0.000118306,0.00001675957],"category_scores_gemma":[0.0002033517,0.000115521,0.0001898311,0.0003708225,0.00003542128,0.0002077,0.00002183217,0.0002217671,8.348949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420151,"about_ca_system_score_gemma":0.0000825158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002842172,"about_ca_topic_score_gemma":0.00004099468,"domain_scores_codex":[0.9977062,0.0001073518,0.001133954,0.000106402,0.0007827702,0.0001633281],"domain_scores_gemma":[0.9985504,0.0001336724,0.000353441,0.0001212909,0.0007249966,0.000116258],"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":[0.0006059342,0.0005490049,0.0117014,0.000103796,0.001320159,0.0001591332,0.001128538,0.7430874,0.2198821,0.01515645,0.003940467,0.002365588],"study_design_scores_gemma":[0.0115606,0.00235021,0.009226533,0.003917892,0.0003936295,0.001664855,0.001192946,0.2970991,0.5514736,0.01283121,0.1064217,0.001867757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656235,0.004825941,0.02551805,0.0002790593,0.001861007,0.00008879251,0.00001115958,0.00003288557,0.001759605],"genre_scores_gemma":[0.9993458,0.00003632042,0.0003886865,0.000007090754,0.0001597364,0.000002009906,0.000001905271,0.00001689538,0.0000415061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4459883,"threshold_uncertainty_score":0.4710811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206913888","doi":"10.1016/j.ijepes.2021.107689","title":"Operational characteristics and parameter sensitivity analysis of hydropower unit damping under ultra-low frequency oscillations","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Hubei Province; Bureau of Science and Technology of Zhoushan; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Hydropower; Sensitivity (control systems); Control theory (sociology); Damping ratio; Electric power system; Power (physics); Automatic frequency control; Stability (learning theory); Low frequency; Energy (signal processing); Engineering; Computer science; Control (management); Mathematics; Vibration; Statistics; Physics; Electronic engineering; Acoustics; Electrical engineering","authors":[{"name":"Dong Liu","is_ca":false},{"name":"Chaoshun Li","is_ca":false},{"name":"O.P. Malik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009842276675488941,"gpt":0.2379425829568678,"spread":0.2281003062813788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004161144,0.0001649815,0.0005144656,0.0004928161,0.00004327505,0.000124914,0.0001379478,0.0001144549,0.00009992111],"category_scores_gemma":[0.0003304955,0.0001551701,0.0002075951,0.0007074072,0.0000474845,0.0002582688,0.00001849079,0.0001823395,0.000001084873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720314,"about_ca_system_score_gemma":0.0001325421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005034924,"about_ca_topic_score_gemma":0.00003319938,"domain_scores_codex":[0.9978259,0.0002342684,0.0009848585,0.0001738966,0.0006121244,0.0001689837],"domain_scores_gemma":[0.9975478,0.0004614283,0.0002918837,0.000162815,0.001404574,0.0001314826],"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":[0.00005945072,0.0003426143,0.05666293,0.00003585383,0.007399524,0.0002237291,0.0004023721,0.8524702,0.04098065,0.04078735,0.0003224811,0.0003128723],"study_design_scores_gemma":[0.0008007794,0.00009355391,0.07337901,0.0001576334,0.0004902195,0.0006377726,0.0001407079,0.9182576,0.003085844,0.0002167724,0.00226735,0.0004727848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3700105,0.0009071698,0.6250669,0.000189487,0.001939462,0.00005419931,0.0001191836,0.00003277606,0.001680322],"genre_scores_gemma":[0.9991767,0.0001254459,0.0003808346,0.00007734416,0.0000793629,0.000001949277,0.00006477247,0.00001654287,0.00007700045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6291663,"threshold_uncertainty_score":0.6327653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3017830637","doi":"10.1016/j.ijepes.2020.106102","title":"Pollution flashover performance of RTV coatings with partial damage","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China","keywords":"Insulator (electricity); Arc flash; Materials science; Pollution; Coating; Voltage; Composite material; Humidity; Environmental science; Electrical engineering; Meteorology; Engineering","authors":[{"name":"Zong Li","is_ca":false},{"name":"Fanghui Yin","is_ca":false},{"name":"Bin Cao","is_ca":false},{"name":"Liming Wang","is_ca":false},{"name":"Shichao Shao","is_ca":false},{"name":"M. Farzaneh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009721274592611118,"gpt":0.2189292971827057,"spread":0.2092080225900946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834479,0.0001347992,0.0003020233,0.0001592519,0.00003973373,0.00007203002,0.0004443439,0.0000603278,0.0001616517],"category_scores_gemma":[0.0001604445,0.0001003723,0.00008026699,0.0003278899,0.00005391629,0.0003815561,0.00003222483,0.0001459935,0.00002121584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197971,"about_ca_system_score_gemma":0.000182033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006682338,"about_ca_topic_score_gemma":0.000001064805,"domain_scores_codex":[0.9977811,0.00009520124,0.0007509858,0.0001603521,0.001004962,0.0002073896],"domain_scores_gemma":[0.9981856,0.00007797101,0.0007807868,0.00008572639,0.0006980472,0.0001718393],"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":[0.001999356,0.0002289252,0.002688768,0.00001611009,0.0001360419,0.00008845344,0.0005505369,0.01729697,0.9619406,0.0114029,0.002806245,0.0008450218],"study_design_scores_gemma":[0.007452555,0.008607429,0.006744775,0.0004232721,0.0001436639,0.0007613249,0.0001863463,0.1253724,0.7384443,0.0002354139,0.110565,0.001063604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774961,0.0002392457,0.01902591,0.0004834475,0.0007643597,0.00005181459,0.00001114249,0.00002329782,0.001904702],"genre_scores_gemma":[0.9986472,0.00002185926,0.0002134291,0.0004764633,0.0005251165,0.000002380393,0.000003757021,0.00001371164,0.00009610529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2234964,"threshold_uncertainty_score":0.4093065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011728715","doi":"10.1016/j.ijepes.2015.03.004","title":"Sectionalizing strategies for minimizing outage durations of critical loads in parallel power system restoration with bi-level programming","year":2015,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Hong Kong Polytechnic University; National Natural Science Foundation of China","keywords":"Pickup; Electric power system; Power (physics); Reliability engineering; Engineering; Generator (circuit theory); Synchronization (alternating current); Computer science; Electrical engineering; Topology (electrical circuits)","authors":[{"name":"Weijia Liu","is_ca":false},{"name":"Zhenzhi Lin","is_ca":false},{"name":"Fushuan Wen","is_ca":false},{"name":"C. Y. Chung","is_ca":true},{"name":"Yusheng Xue","is_ca":false},{"name":"Gerard Ledwich","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02784743291128768,"gpt":0.2749108066926593,"spread":0.2470633737813716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000565422,0.0002089437,0.0003849471,0.000516315,0.00003661354,0.0001851054,0.0002809695,0.0001476747,0.000002636587],"category_scores_gemma":[0.0002704583,0.0001876509,0.0001217561,0.0003176431,0.00005435663,0.0008054954,0.00001666317,0.0002323572,0.000001237103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008860235,"about_ca_system_score_gemma":0.0003181448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009906532,"about_ca_topic_score_gemma":0.00005003289,"domain_scores_codex":[0.997533,0.00009122442,0.00108136,0.0001713014,0.0008251939,0.0002979831],"domain_scores_gemma":[0.9975328,0.0002365716,0.0003181252,0.0001108959,0.001650135,0.0001515004],"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":[0.001095882,0.0004549907,0.0010555,0.0001535929,0.0005379212,0.0001906078,0.001072462,0.6944413,0.006187175,0.2924259,0.002002743,0.0003818771],"study_design_scores_gemma":[0.01617971,0.008700348,0.003974403,0.004370898,0.000411606,0.005544624,0.02231254,0.8852744,0.005771299,0.002723388,0.04202678,0.002710073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05943782,0.001227357,0.9349262,0.0001882625,0.002618187,0.0002249624,0.00005024181,0.00008000368,0.001246975],"genre_scores_gemma":[0.9950305,0.000005458026,0.004547948,0.000009459306,0.0002774368,0.0000432893,0.00003212194,0.00003459077,0.00001920324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9355927,"threshold_uncertainty_score":0.7652183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2902597158","doi":"10.1016/j.ijepes.2018.11.033","title":"Source-load-storage consistency collaborative optimization control of flexible DC distribution network considering multi-energy complementarity","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Complementarity (molecular biology); Consistency (knowledge bases); Energy storage; Computer science; Mathematical optimization; Mathematics","authors":[{"name":"Yang Gao","is_ca":false},{"name":"Qian Ai","is_ca":false},{"name":"Muhammad Yousif","is_ca":false},{"name":"Xiaoyu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006932077646996359,"gpt":0.217679057836184,"spread":0.2107469801891877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003783134,0.000222056,0.0004811509,0.000161949,0.00009160122,0.0001006737,0.0002982276,0.000127187,0.0001235124],"category_scores_gemma":[0.0001152868,0.0002127882,0.0001475126,0.000403152,0.00009766901,0.000270602,0.00002865899,0.0001583641,0.000001803377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005475365,"about_ca_system_score_gemma":0.0001867555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002324055,"about_ca_topic_score_gemma":0.00004473845,"domain_scores_codex":[0.9976454,0.0001610372,0.001105566,0.0001680359,0.0006133547,0.0003065398],"domain_scores_gemma":[0.9962834,0.0001739668,0.0006282924,0.0001298833,0.00265575,0.0001287213],"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":[0.0002516264,0.0001018782,0.0004451221,0.0000049318,0.0007308862,0.00001408642,0.00009627684,0.9853859,0.001184614,0.006997402,0.00374392,0.001043374],"study_design_scores_gemma":[0.002508054,0.0003221094,0.0001218392,0.0001037612,0.00007464463,0.0001076673,0.00006788752,0.9574308,0.001324678,0.00006099033,0.03765234,0.0002252127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00165321,0.00606958,0.9885648,0.00006970914,0.002913831,0.00009610566,0.00007307631,0.00005958929,0.0005000237],"genre_scores_gemma":[0.9967256,0.0002665821,0.001876309,0.00009243879,0.0008638495,0.00001041021,0.00006308673,0.00002917351,0.00007256537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9950724,"threshold_uncertainty_score":0.8677252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3146436840","doi":"10.1016/j.ijepes.2021.106936","title":"Resilient operation planning of integrated electrical and natural gas systems in the presence of natural gas storages","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Concordia University","funders":"","keywords":"Natural gas; Natural (archaeology); Natural gas storage; Power to gas; Engineering; Environmental science; Petroleum engineering; Process engineering; Computer science; Waste management; Chemistry; Geology","authors":[{"name":"Meisam Ansari","is_ca":false},{"name":"Masoud Zadsar","is_ca":true},{"name":"Hamidreza Zareipour","is_ca":true},{"name":"Mostafa Kazemi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005285517777793185,"gpt":0.2261661579618865,"spread":0.2208806401840934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006712868,0.0002367783,0.0005289234,0.0005778582,0.0000342198,0.0001356188,0.0005021411,0.0001666756,0.000004784191],"category_scores_gemma":[0.0004958191,0.0001700509,0.0001174062,0.0007476173,0.0000505926,0.0003441361,0.00002978681,0.0005911854,4.077212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826431,"about_ca_system_score_gemma":0.0001871595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000557529,"about_ca_topic_score_gemma":0.00003489123,"domain_scores_codex":[0.9966878,0.0004998521,0.00134648,0.0001979198,0.001001124,0.0002668225],"domain_scores_gemma":[0.9974287,0.0004382449,0.0004754984,0.0001729326,0.001420741,0.00006393504],"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":[0.000224618,0.0001267924,0.001176909,0.00004396923,0.0004096148,0.0002960803,0.0007972699,0.9194021,0.05946622,0.01570589,0.001587905,0.0007626009],"study_design_scores_gemma":[0.001030673,0.0002879613,0.0009610007,0.0009567466,0.00004154748,0.002091342,0.001024753,0.9693934,0.02104526,0.00005099464,0.002835358,0.0002809943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8982022,0.06716852,0.02578019,0.0002274136,0.007282306,0.000252797,0.00001930986,0.00005305969,0.001014224],"genre_scores_gemma":[0.9990579,0.0003778025,0.0001305125,0.00002146029,0.0002266857,0.00001053275,0.00003026533,0.00002711584,0.0001176927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008558,"threshold_uncertainty_score":0.6934474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3084139598","doi":"10.1016/j.ijepes.2020.106419","title":"An optimization model to maximize energy generation in short-term hydropower unit commitment using efficiency points","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Rio Tinto (Canada); Group for Research in Decision Analysis; HEC Montréal; Université du Québec à Chicoutimi","funders":"Mitacs","keywords":"Hydropower; Term (time); Mathematical optimization; Turbine; Power system simulation; Integer (computer science); Power (physics); Energy storage; Volume (thermodynamics); Electricity generation; Maximum power principle; Unit (ring theory); Function (biology); Environmental science; Computer science; Mathematics; Engineering; Electric power system; Electrical engineering; Physics; Mechanical engineering","authors":[{"name":"Maissa Daadaa","is_ca":true},{"name":"Sara Séguin","is_ca":true},{"name":"Kenjy Demeester","is_ca":true},{"name":"Miguel F. Anjos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02913703953905076,"gpt":0.2661440574084834,"spread":0.2370070178694327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003528102,0.0003165673,0.0004743311,0.0008065368,0.0000471257,0.0002067129,0.0007002635,0.0001806841,0.00002367763],"category_scores_gemma":[0.00007784087,0.0003192952,0.0001204333,0.0008841305,0.00001458156,0.0006126344,0.00003940856,0.0002452043,0.000002574301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008581207,"about_ca_system_score_gemma":0.0001638818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008643529,"about_ca_topic_score_gemma":0.00001182641,"domain_scores_codex":[0.996756,0.0002089187,0.001321758,0.0003148223,0.001007274,0.0003912119],"domain_scores_gemma":[0.998541,0.00004685773,0.0002016696,0.0002010432,0.0006357521,0.0003736877],"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":[0.00008708519,0.000139459,0.0001956547,0.000004509506,0.0001069352,0.00007215564,0.0002111606,0.9818199,0.01470941,0.001951351,0.0004464275,0.000256016],"study_design_scores_gemma":[0.0006488714,0.0003286641,0.00001547911,0.0000603904,0.00002268224,0.0001345389,0.00001701577,0.9955506,0.002418653,0.00001320077,0.0004848093,0.0003051416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03615418,0.000541737,0.9610325,0.0001855177,0.001323357,0.0001363167,0.000007902647,0.00007480448,0.0005437097],"genre_scores_gemma":[0.9938622,0.00009802794,0.005022428,0.0003173219,0.0005497415,0.00001266626,0.00004362377,0.00007594556,0.00001808543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957708,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054323401","doi":"10.1016/j.ijepes.2014.08.014","title":"An optimization model for regional micro-grid system management based on hybrid inexact stochastic-fuzzy chance-constrained programming","year":2014,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Water resources management and optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Stochastic programming; Mathematical optimization; Fuzzy logic; Time horizon; Interval (graph theory); Grid; Computer science; Dynamic programming; Electric power system; Credibility theory; Operations research; Engineering; Power (physics); Mathematics; Artificial intelligence","authors":[{"name":"Ling Ji","is_ca":false},{"name":"Dongxiao Niu","is_ca":false},{"name":"Ming Xu","is_ca":false},{"name":"Guohe Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007348368010498243,"gpt":0.2063567029261288,"spread":0.1990083349156306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000400693,0.000241988,0.0002940358,0.0006342109,0.00006229907,0.0002208423,0.0004823222,0.00007091239,0.000003031308],"category_scores_gemma":[0.00002155795,0.000220582,0.0001554283,0.0001632218,0.00001927832,0.0002563088,0.00001490547,0.0001267849,0.000001350181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003524885,"about_ca_system_score_gemma":0.00002004032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005387023,"about_ca_topic_score_gemma":6.029614e-7,"domain_scores_codex":[0.9980751,0.00006422728,0.000683108,0.0002213781,0.0006603905,0.0002957535],"domain_scores_gemma":[0.9989092,0.00007326909,0.0003230403,0.0001627702,0.0003990002,0.0001327251],"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":[0.000217349,0.0001003149,0.000005948748,0.00003980327,0.0002036869,0.0000120266,0.00002805547,0.989771,0.00008233533,0.006249987,0.0009265867,0.00236292],"study_design_scores_gemma":[0.00131426,0.0003154401,0.000003095311,0.0002295733,0.00005014041,0.00003877656,0.00002178915,0.9941698,0.000103084,0.00004014921,0.003493589,0.0002203031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007984,0.00008029872,0.9964037,0.0000903851,0.001328014,0.0002616172,0.00001165654,0.0001271221,0.0008987926],"genre_scores_gemma":[0.9834203,0.00001024522,0.01530265,0.0001093622,0.0008030011,0.00005756764,0.0001334216,0.00005769964,0.000105825],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9826218,"threshold_uncertainty_score":0.8995074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387993499","doi":"10.1016/j.ijepes.2023.109577","title":"Stackelberg–Nash game approach for price-based demand response in retail electricity trading","year":2023,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Science Foundation of Anhui Province; State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources; University of Science and Technology of China; National Natural Science Foundation of China","keywords":"Stackelberg competition; Nash equilibrium; Computer science; Best response; Demand response; Scalability; Electricity; Game theory; Mathematical optimization; Microeconomics; Economics; Mathematics; Engineering","authors":[{"name":"Yanni Wan","is_ca":false},{"name":"Jiahu Qin","is_ca":false},{"name":"Yang Shi","is_ca":true},{"name":"Weiming Fu","is_ca":false},{"name":"Feng Xiao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0155130216509328,"gpt":0.2337088559305594,"spread":0.2181958342796266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666147,0.0002488042,0.0004355447,0.001569722,0.00003153321,0.000123767,0.000655305,0.0001433032,0.00001217322],"category_scores_gemma":[0.000383272,0.0002381351,0.0002300406,0.001153695,0.00002000517,0.0002218785,0.00002884707,0.000299249,0.00000382974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009832486,"about_ca_system_score_gemma":0.0001131375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002724106,"about_ca_topic_score_gemma":0.000003787344,"domain_scores_codex":[0.9971918,0.0002056008,0.0009757987,0.0002422284,0.0008642257,0.0005202775],"domain_scores_gemma":[0.9984388,0.0006832756,0.0002481351,0.0001718566,0.0003093079,0.0001486408],"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":[0.001149889,0.0001140123,0.000442186,0.0000230849,0.0003453762,0.0001458374,0.00007085643,0.9801091,0.004700551,0.002858768,0.009646093,0.0003942609],"study_design_scores_gemma":[0.001735068,0.0003417035,0.001853634,0.00007312314,0.00002203972,0.00006561153,0.00002801494,0.9538848,0.002127012,0.0001337928,0.03946447,0.0002707234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2839417,0.001221991,0.7088601,0.0003181018,0.003059712,0.0002515673,0.00001100826,0.0002278683,0.002107954],"genre_scores_gemma":[0.9983633,0.00008883589,0.000431994,0.00007653057,0.000506316,0.00006274057,0.00001867079,0.00006421141,0.0003874551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7144215,"threshold_uncertainty_score":0.9710868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019603713","doi":"10.1016/j.ijepes.2012.05.061","title":"Risk-based performance analysis of microgrid topology with distributed energy generation","year":2012,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Smart grid; Distributed generation; Renewable energy; Grid; Computer science; Distributed computing; Profitability index; Reliability engineering; Systems engineering; Engineering; Risk analysis (engineering); Electrical engineering","authors":[{"name":"Hossam A. Gabbar","is_ca":true},{"name":"Razibul Islam","is_ca":true},{"name":"Manir U. Isham","is_ca":true},{"name":"Vatsal Trivedi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003798767420638951,"gpt":0.187555338983775,"spread":0.183756571563136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021884,0.0001441455,0.0003656247,0.0006004432,0.00002776397,0.00003314445,0.0002324022,0.00009397075,0.00003561197],"category_scores_gemma":[0.00002679039,0.0001131004,0.0001639018,0.0005774227,0.0000266609,0.0002112515,0.000008552436,0.0001227025,6.416905e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777977,"about_ca_system_score_gemma":0.00004195015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188134,"about_ca_topic_score_gemma":0.00002121624,"domain_scores_codex":[0.9986022,0.00008569113,0.0006153322,0.00008767206,0.0003857217,0.0002233641],"domain_scores_gemma":[0.9987064,0.00007568818,0.0004358111,0.0001046679,0.0005777341,0.00009972273],"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":[0.0001305875,0.0001049858,0.01417358,0.000002829524,0.002306495,0.000005496938,0.00002499572,0.9724715,0.006219783,0.0008359881,0.0006381319,0.00308561],"study_design_scores_gemma":[0.0007566572,0.0002281777,0.00443509,0.00001889501,0.0004843621,0.00006438597,0.000007485134,0.9684329,0.01209302,0.000002493004,0.01331123,0.0001652916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2755409,0.00835324,0.7141987,0.00005020732,0.001585912,0.00003255928,0.00004911354,0.00003145705,0.0001578638],"genre_scores_gemma":[0.9983224,0.0006435883,0.000346106,0.00003865193,0.0005081356,0.000004980978,0.0001062231,0.000016038,0.0000138837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7227815,"threshold_uncertainty_score":0.46121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308714778","doi":"10.1016/j.ijepes.2022.108758","title":"Decision tree approach for fault detection in a TCSC compensated line during power swing","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Swing; Thyristor; Engineering; Transmission line; Control theory (sociology); Fault (geology); Electric power transmission; Fault indicator; Electric power system; Fault detection and isolation; Computer science; Electronic engineering; Power (physics); Voltage; Electrical engineering; Artificial intelligence","authors":[{"name":"Subodh Kumar Mohanty","is_ca":false},{"name":"Aleena Swetapadma","is_ca":false},{"name":"Paresh Kumar Nayak","is_ca":false},{"name":"O.P. Malik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007407260380752579,"gpt":0.2283530650015021,"spread":0.2209458046207495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007555913,0.0002485031,0.0004649546,0.00127992,0.0001105649,0.0001049089,0.00056329,0.0001302653,0.0000173344],"category_scores_gemma":[0.0001671466,0.0002512462,0.0002546204,0.0006776734,0.00001227669,0.0003066533,0.00006464449,0.0005604728,0.000001716743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756378,"about_ca_system_score_gemma":0.00004958431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154947,"about_ca_topic_score_gemma":0.00003209964,"domain_scores_codex":[0.996867,0.000164964,0.001268768,0.0002580575,0.001065404,0.0003758133],"domain_scores_gemma":[0.9987162,0.000221348,0.0003868983,0.0001624727,0.0003930973,0.0001199247],"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":[0.001281162,0.0002899915,0.0002324675,0.00002354675,0.0004685679,0.0001501372,0.0003006531,0.8645231,0.1230255,0.000314629,0.0004741948,0.008916043],"study_design_scores_gemma":[0.004814451,0.0009336853,0.001100941,0.0001444517,0.00003263236,0.003656436,0.0003206895,0.939036,0.01720811,0.0001246537,0.03207431,0.0005536534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4835515,0.001414534,0.5054231,0.00002401429,0.008416935,0.0002504084,0.00001531909,0.0001178557,0.0007863226],"genre_scores_gemma":[0.9989166,0.00001864354,0.0003126967,0.00001901785,0.0004435086,0.0000914217,0.00001038122,0.00006640716,0.0001212764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5153652,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031731379","doi":"10.1016/j.ijepes.2013.10.029","title":"A Robust Inexact Joint-optimal α cut Interval Type-2 Fuzzy Boundary Linear Programming (RIJ-IT2FBLP) for energy systems planning under uncertainty","year":2013,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Water resources management and optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; Jane ja Aatos Erkon Säätiö; Ministry of Earth Sciences","keywords":"Mathematical optimization; Fuzzy logic; Interval (graph theory); Linear programming; Mathematics; Fuzzy number; Boundary (topology); Fuzzy set; Fuzzy transportation; Computer science; Artificial intelligence","authors":[{"name":"Guohe Huang","is_ca":true},{"name":"Dan Cong","is_ca":false},{"name":"Yurui Fan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02142238648962181,"gpt":0.2302863409792524,"spread":0.2088639544896306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003435567,0.0003378975,0.0005066197,0.0006362191,0.00008687114,0.0006441254,0.0005815999,0.0001809845,0.00002765579],"category_scores_gemma":[0.000070866,0.0002893607,0.00025751,0.0003108811,0.00003825008,0.0005806583,0.00007027177,0.0002900529,0.000009456948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998869,"about_ca_system_score_gemma":0.00006085121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003757704,"about_ca_topic_score_gemma":0.000006585804,"domain_scores_codex":[0.9972981,0.00009408066,0.001126775,0.0002507612,0.0007317248,0.0004985363],"domain_scores_gemma":[0.9981834,0.0001229524,0.0004409997,0.0001606151,0.0008972069,0.0001948351],"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":[0.0001252334,0.00007352288,0.00008613063,0.00003333613,0.0007740593,0.00003889799,0.0001134118,0.9854017,0.0003696789,0.002113912,0.009535125,0.001334919],"study_design_scores_gemma":[0.0008927205,0.0004206277,0.00003173019,0.0002880374,0.00005534232,0.000184296,0.0001866587,0.8671781,0.0001312049,0.0000850588,0.1302137,0.0003325292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0388797,0.004776616,0.9459263,0.0002544138,0.007515736,0.0003814826,0.000009702615,0.0002354367,0.002020621],"genre_scores_gemma":[0.9956052,0.00008113567,0.001086648,0.00009698742,0.001704545,0.00005811636,0.0000702601,0.00008905082,0.001208032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9567255,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984896319","doi":"10.1016/j.ijepes.2009.03.015","title":"A new computational method for reactive power market clearing","year":2009,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"","keywords":"AC power; Market clearing; Clearing; Integer programming; Linear programming; Mathematical optimization; Computer science; Activity-based costing; Electricity market; Power market; Transformer; Deregulation; Electric power system; Power (physics); Electricity; Economics; Engineering; Voltage; Mathematics; Electrical engineering; Microeconomics; Finance","authors":[{"name":"Tao Zhang","is_ca":true},{"name":"Ayman Elkasrawy","is_ca":true},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005274860693317346,"gpt":0.2492809838886087,"spread":0.2440061231952913,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005740918,0.0002433836,0.0004344157,0.0006079073,0.00004179005,0.000180266,0.000517723,0.0001602612,0.0000484416],"category_scores_gemma":[0.0002004826,0.0002335409,0.0002153111,0.0003889526,0.000007442198,0.0004424863,0.00001402993,0.0002666611,0.000003959211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316747,"about_ca_system_score_gemma":0.000174438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003677459,"about_ca_topic_score_gemma":0.000001081764,"domain_scores_codex":[0.997547,0.0001124754,0.0009644964,0.0002048422,0.0008296788,0.0003414777],"domain_scores_gemma":[0.997874,0.0004691146,0.0004101277,0.0001238452,0.0009104091,0.0002125514],"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":[0.0006491408,0.000155159,0.00005722565,0.000008941745,0.001215248,0.00009617343,0.000263572,0.7702338,0.005520905,0.05238553,0.1502608,0.01915359],"study_design_scores_gemma":[0.002734344,0.001222294,0.0007643629,0.0002127218,0.00007747851,0.001778986,0.00003861248,0.8859196,0.001695163,0.005721309,0.09925133,0.0005838423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000353662,0.001153548,0.9835396,0.0003392338,0.002763293,0.0001386316,0.000006960488,0.0000939008,0.01161114],"genre_scores_gemma":[0.9647957,0.00003422989,0.03333382,0.0001993623,0.0007163886,0.000006997332,0.00001044558,0.00004892671,0.0008541417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.964442,"threshold_uncertainty_score":0.952352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967315894","doi":"10.1016/j.ijepes.2013.09.019","title":"Per-phase vector control strategy for a four-leg voltage source inverter operating with highly unbalanced loads in stand-alone hybrid systems","year":2013,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Inverter; Control theory (sociology); Emulation; Three-phase; Voltage; Grid; Power (physics); AC power; Engineering; Computer science; Control (management); Electrical engineering; Mathematics","authors":[{"name":"Nayeem Ninad","is_ca":true},{"name":"Luiz A. C. Lopes","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005842689266564544,"gpt":0.2056993801727007,"spread":0.1998566909061361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807239,0.0002735634,0.0005706266,0.0003640019,0.00003770876,0.0004086676,0.0003755507,0.0001015193,0.00002275336],"category_scores_gemma":[0.00005578501,0.0002126657,0.0001246633,0.0001698977,0.0000217676,0.0004967633,0.00001134167,0.0002686178,0.000005279283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029975,"about_ca_system_score_gemma":0.0001154382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003357318,"about_ca_topic_score_gemma":0.00001428141,"domain_scores_codex":[0.9978023,0.00008487897,0.0009788653,0.0002022469,0.0005334098,0.0003983179],"domain_scores_gemma":[0.9983199,0.0001887221,0.0003210649,0.0001214155,0.0008808412,0.000168075],"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":[0.0004052302,0.000144339,0.0002449357,0.00003032999,0.0005737799,0.0001193461,0.00007116088,0.9619931,0.03046526,0.0008651771,0.00258318,0.002504155],"study_design_scores_gemma":[0.007873463,0.0007544523,0.00008717707,0.0002176249,0.00003345485,0.0005180737,0.00006530236,0.9832306,0.0006078514,0.00001880289,0.006312943,0.0002802773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1091201,0.00546513,0.8826361,0.0001488154,0.001697648,0.00052117,0.00005351639,0.00007505833,0.0002824869],"genre_scores_gemma":[0.9986066,0.00008804703,0.0001258276,0.00008651153,0.0007152385,0.0001020638,0.00001604377,0.00005618893,0.000203462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8894865,"threshold_uncertainty_score":0.8672257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007194454","doi":"10.1016/j.ijepes.2020.105939","title":"An enhanced sub-cycle statistical algorithm for inrush and fault currents classification in differential protection schemes","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Inrush current; Differential protection; Kurtosis; Algorithm; Current transformer; Control theory (sociology); Computer science; Transformer; Electronic engineering; Engineering; Mathematics; Voltage; Electrical engineering; Artificial intelligence; Statistics","authors":[{"name":"Mohsen Tajdinian","is_ca":false},{"name":"Mehdi Allahbakhshi","is_ca":false},{"name":"Alireza Bagheri","is_ca":false},{"name":"Haidar Samet","is_ca":false},{"name":"Payman Dehghanian","is_ca":false},{"name":"O.P. Malik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01253901219420909,"gpt":0.2604291081219506,"spread":0.2478900959277415,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687819,0.0001749381,0.0003040753,0.0002863491,0.00002909767,0.0001255458,0.0002291546,0.0001400399,0.000005078182],"category_scores_gemma":[0.0001265732,0.0001693819,0.00006427673,0.0002014741,0.00002091314,0.0003808656,0.0000126744,0.0002713117,0.000001905916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788666,"about_ca_system_score_gemma":0.0000441397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004918439,"about_ca_topic_score_gemma":0.000008334515,"domain_scores_codex":[0.9982185,0.0001044583,0.0007536734,0.0002137927,0.0004938089,0.0002157408],"domain_scores_gemma":[0.9991103,0.00007461473,0.0002280319,0.00007321383,0.0003306125,0.000183168],"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":[0.0006086003,0.0003703473,0.0003389035,0.00007787918,0.0004742807,0.0000322622,0.0004993542,0.004799425,0.451955,0.003750909,0.0006254539,0.5364676],"study_design_scores_gemma":[0.001462938,0.0005517425,0.001054664,0.00008122482,0.00001713723,0.00008256872,0.00004987578,0.9712961,0.01742687,0.0001169332,0.00764649,0.0002134326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1570435,0.0002935014,0.8402244,0.0000543496,0.002094263,0.0001753944,0.00002473424,0.00005244307,0.00003742899],"genre_scores_gemma":[0.998625,0.0000522134,0.0004555539,0.0000164184,0.0007387921,0.00005618421,0.00001908595,0.00003192981,0.000004767578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9664967,"threshold_uncertainty_score":0.6907194,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392452501","doi":"10.1016/j.ijepes.2024.109915","title":"Cryptocurrency mining as a novel virtual energy storage system in islanded and grid-connected microgrids","year":2024,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Microgrid; Renewable energy; Energy storage; Environmental economics; Grid; Computer science; Electricity; Pumped-storage hydroelectricity; Greenhouse gas; Automotive engineering; Distributed generation; Engineering; Power (physics); Electrical engineering; Economics","authors":[{"name":"Mehran Hajiaghapour‐Moghimi","is_ca":false},{"name":"Ehsan Hajipour","is_ca":false},{"name":"Kamyar Azimi Hosseini","is_ca":true},{"name":"Mehdi Vakilian","is_ca":false},{"name":"Matti Lehtonen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003558389328095306,"gpt":0.1986921001088249,"spread":0.1951337107807296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002580498,0.0002254195,0.000368139,0.0007970158,0.00002469037,0.0002812337,0.0002851435,0.000148693,0.00001599832],"category_scores_gemma":[0.00005416684,0.0001989435,0.0001198895,0.0003990294,0.00001944558,0.0002951713,0.00002871406,0.0002505098,0.00000296119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988116,"about_ca_system_score_gemma":0.00009957163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001689532,"about_ca_topic_score_gemma":0.00002223392,"domain_scores_codex":[0.9982,0.00006312312,0.0008177903,0.0002042146,0.0004469289,0.0002679466],"domain_scores_gemma":[0.9992176,0.0001918346,0.0001350247,0.0000818192,0.0002509992,0.0001227436],"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":[0.0009463298,0.0005655831,0.0005976109,0.0002519126,0.003949082,0.004195976,0.002132725,0.5701708,0.124097,0.1941859,0.02058283,0.07832424],"study_design_scores_gemma":[0.001736414,0.0003305989,0.0001159882,0.0009009477,0.00004813759,0.002668362,0.0001706279,0.9322109,0.0008298541,0.00005666953,0.06055805,0.000373448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2606776,0.1532349,0.5459604,0.0004178176,0.0335994,0.0002729536,0.0001010659,0.0006411776,0.00509479],"genre_scores_gemma":[0.9979674,0.0006497118,0.0001070584,0.00004014924,0.00107959,0.00001166882,0.00001512956,0.00003953502,0.00008977199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7372898,"threshold_uncertainty_score":0.811268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2798012461","doi":"10.1016/j.ijepes.2018.04.003","title":"Saturable reactor hysteresis model based on Jiles–Atherton formulation for ferroresonance studies","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Ferroresonance in electricity networks; Emtp; Flux linkage; Hysteresis; Transient (computer programming); Control theory (sociology); Snubber; Engineering; Voltage; Nuclear engineering; Computer science; Physics; Electrical engineering; Electric power system; Transformer; Thermodynamics","authors":[{"name":"Wenxia Sima","is_ca":false},{"name":"Mi Zou","is_ca":true},{"name":"Ming Yang","is_ca":false},{"name":"Daixiao Peng","is_ca":false},{"name":"Yonglai Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03318998736502558,"gpt":0.3031740396588496,"spread":0.2699840522938241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003749807,0.000141258,0.0002577798,0.0001509754,0.00009536115,0.0001000624,0.0004588736,0.0000680976,0.00003698386],"category_scores_gemma":[0.0002418869,0.00009876307,0.0001211773,0.0001068512,0.00004023084,0.0001723366,0.00002467357,0.00007259236,0.00001073127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228153,"about_ca_system_score_gemma":0.0001063722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006105514,"about_ca_topic_score_gemma":0.00001011265,"domain_scores_codex":[0.9983573,0.00005155304,0.0005836743,0.000197939,0.0005905461,0.0002190004],"domain_scores_gemma":[0.9977067,0.0002261752,0.000477271,0.0001661366,0.001348319,0.00007541037],"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":[0.002934635,0.0007018344,0.0001044138,0.00003620345,0.0002272052,0.000009930069,0.0004133728,0.03606715,0.7462236,0.1714382,0.03307568,0.008767858],"study_design_scores_gemma":[0.001504135,0.00176196,0.0001128976,0.0002964357,0.00004165193,0.00003320372,0.000057085,0.8119455,0.09110513,0.003491733,0.08934759,0.0003026675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.490534,0.004254319,0.4889951,0.004608687,0.00573587,0.0006284712,0.0001081124,0.00009470476,0.005040681],"genre_scores_gemma":[0.9965838,0.00003481838,0.001365337,0.000403569,0.0006602877,0.00004526236,0.000003736514,0.00001792485,0.0008852695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7758784,"threshold_uncertainty_score":0.4027441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226427243","doi":"10.1016/j.ijepes.2022.108092","title":"QCAE: A quadruple branch CNN autoencoder for real-time electricity price forecasting","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Autoencoder; Electricity price forecasting; Electricity; Computer science; Artificial intelligence; Electricity market; Artificial neural network; Engineering; Electrical engineering","authors":[{"name":"Haolin Yang","is_ca":false},{"name":"Kristen R. Schell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01167342213992981,"gpt":0.2240685525527723,"spread":0.2123951304128425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007913587,0.0002746822,0.0004770526,0.0005552854,0.0001954043,0.0001268283,0.0007926016,0.00009886902,0.0001214917],"category_scores_gemma":[0.0002081275,0.0002705861,0.0003325753,0.0005813144,0.00001838393,0.0002697723,0.00007427409,0.0004636474,0.000003527675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000756744,"about_ca_system_score_gemma":0.0001618729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000140679,"about_ca_topic_score_gemma":0.000003590354,"domain_scores_codex":[0.9969987,0.0001271965,0.001066987,0.0002350736,0.001013401,0.0005586952],"domain_scores_gemma":[0.9980977,0.0005653291,0.0004824238,0.0001482347,0.0005255788,0.0001806901],"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":[0.0004013852,0.0002374468,0.000309519,0.00002727631,0.0009803097,0.0001839877,0.0003588551,0.9207888,0.02994411,0.01638339,0.02343551,0.006949396],"study_design_scores_gemma":[0.001301149,0.0006495864,0.00005785412,0.00006738567,0.00004415537,0.001683664,0.00003388075,0.8260256,0.002374992,0.0007519184,0.1665703,0.0004394465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.270948,0.009888022,0.6434364,0.0005584963,0.02219085,0.0006194745,0.0001883437,0.0007701182,0.05140027],"genre_scores_gemma":[0.9964967,0.00008823869,0.0008279892,0.00009414515,0.001133411,0.00005693621,0.00002957803,0.00008135537,0.001191668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7255487,"threshold_uncertainty_score":0.9999746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022891288","doi":"10.1016/j.ijepes.2006.06.003","title":"A method to measure QV curves and its applications in power systems","year":2006,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Measure (data warehouse); Compensation (psychology); Line (geometry); Consistency (knowledge bases); Electric power system; Convergence (economics); Point (geometry); Curve fitting; Computer science; AC power; Control theory (sociology); Voltage; Mathematical optimization; Power (physics); Mathematics; Engineering; Data mining; Electrical engineering","authors":[{"name":"Zhenyu Huang","is_ca":false},{"name":"Lixin Bao","is_ca":false},{"name":"Wilsun Xu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007425763752607053,"gpt":0.2441507524363296,"spread":0.2367249886837225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007927237,0.0002005404,0.0004358623,0.00051302,0.0000281681,0.000119417,0.0003768825,0.0001160138,0.00001421375],"category_scores_gemma":[0.00008911805,0.0001763101,0.0000971738,0.0005015514,0.00001005892,0.0002160862,0.00002655801,0.000205194,0.000004960997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340801,"about_ca_system_score_gemma":0.00005916826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001838431,"about_ca_topic_score_gemma":0.00002391968,"domain_scores_codex":[0.9976138,0.000208649,0.001028856,0.0001986124,0.0007013395,0.0002487678],"domain_scores_gemma":[0.9985613,0.0002305863,0.0002025429,0.0001322584,0.0007016251,0.0001717352],"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":[0.000152066,0.0005070674,0.0043616,0.0001969788,0.0005917882,0.0001266527,0.0003227975,0.8279191,0.007654704,0.1364195,0.02119202,0.0005556437],"study_design_scores_gemma":[0.002833646,0.0004430321,0.007162292,0.001968888,0.00008791289,0.001831237,0.0003074461,0.2839771,0.001580867,0.0004413267,0.6979818,0.001384517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004046902,0.02956119,0.9558244,0.0003109674,0.001633277,0.0003703443,0.00003729283,0.00008468766,0.008130942],"genre_scores_gemma":[0.9990045,0.0001295569,0.0003527284,0.00006830037,0.0001014409,0.00005318625,0.000006284681,0.00002838132,0.0002556342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9949576,"threshold_uncertainty_score":0.7189716,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2344128899","doi":"10.1016/j.ijepes.2016.03.055","title":"Dynamic modeling and control of the tidal current turbine using DFIG and DDPMSG for power system stability analysis","year":2016,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Control theory (sociology); Doubly fed electric machine; Stability (learning theory); Turbine; Electric power system; Permanent magnet synchronous generator; Controller (irrigation); Generator (circuit theory); Power (physics); Control engineering; Control system; Engineering; Induction generator; SIGNAL (programming language); Computer science; AC power; Magnet; Control (management); Voltage","authors":[{"name":"Hamed H. Aly","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007859846632956542,"gpt":0.2229472043506695,"spread":0.2150873577177129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006171266,0.0002064324,0.0006370494,0.0003491351,0.00003951454,0.00006137838,0.0003306696,0.00009462262,0.000002967041],"category_scores_gemma":[0.0001535374,0.0001204376,0.0003043878,0.0002436969,0.00003925555,0.0001833841,0.00003393844,0.0001377058,1.520052e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804041,"about_ca_system_score_gemma":0.00006022832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005902046,"about_ca_topic_score_gemma":0.000009799065,"domain_scores_codex":[0.9977933,0.0001377065,0.001065172,0.0001890604,0.0005737757,0.0002410276],"domain_scores_gemma":[0.9981664,0.0003326824,0.0004406774,0.0001800025,0.0007611843,0.0001190243],"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":[0.001225672,0.0002853159,0.02526849,0.000371729,0.01422076,0.00003300074,0.0004193218,0.7115486,0.2250995,0.01682445,0.0001474042,0.004555671],"study_design_scores_gemma":[0.001785692,0.00008865225,0.0007027818,0.0003010581,0.0003248066,0.0001563428,0.00003410568,0.995713,0.0003305836,0.00005679052,0.0003548994,0.0001512761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4463093,0.007360503,0.5440143,0.00008848463,0.001941947,0.0001624979,0.00006111749,0.00002021447,0.00004163955],"genre_scores_gemma":[0.9996754,0.00003561068,0.00004735346,0.000006424065,0.0001897169,0.000008936698,9.257872e-7,0.00002540434,0.00001023898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5533661,"threshold_uncertainty_score":0.4911303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200416093","doi":"10.1016/j.ijepes.2021.107500","title":"Reliability oriented distribution system analysis considering electric vehicles and hybrid energy resources","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"Mitacs; Manitoba Hydro","keywords":"Reliability (semiconductor); Electric vehicle; Reliability engineering; Photovoltaic system; Renewable energy; Monte Carlo method; Automotive engineering; Electric power system; Range (aeronautics); Minification; Computer science; Sensitivity (control systems); Engineering; Power (physics); Electrical engineering; Electronic engineering","authors":[{"name":"M.P. Anand","is_ca":true},{"name":"Bagen Bagen","is_ca":true},{"name":"Athula Rajapakse","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002808888417046132,"gpt":0.1874707330106521,"spread":0.184661844593606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003546168,0.0002489628,0.000586506,0.0004265649,0.00007743933,0.000201002,0.000293251,0.0001356549,0.00001319213],"category_scores_gemma":[0.0001995623,0.0002160089,0.0002746647,0.001141064,0.00003049719,0.0002338093,0.00004757847,0.0003276329,7.049644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006774493,"about_ca_system_score_gemma":0.00008715636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261238,"about_ca_topic_score_gemma":0.000007127147,"domain_scores_codex":[0.9974436,0.0001993069,0.0009483651,0.0002679123,0.0007926873,0.0003481345],"domain_scores_gemma":[0.9980583,0.0002861873,0.0003140384,0.0001894636,0.0009503149,0.0002017633],"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":[0.001188675,0.0005048769,0.02850885,0.0002818551,0.02446893,0.005651069,0.0004037721,0.5369275,0.1850709,0.1360148,0.03380349,0.04717522],"study_design_scores_gemma":[0.001939221,0.0005104871,0.007563557,0.0002484612,0.001001288,0.00674538,0.0001784222,0.700273,0.08414777,0.0005245588,0.1959921,0.0008756741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558189,0.01510364,0.126613,0.0001336654,0.00138808,0.0000414863,0.00004180031,0.0001356747,0.0007237506],"genre_scores_gemma":[0.9988128,0.0005231056,0.00007255979,0.00004514939,0.0004104135,0.000004408332,0.00003656156,0.00002585419,0.00006912563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633456,"threshold_uncertainty_score":0.8808588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2889255023","doi":"10.1016/j.ijepes.2018.08.020","title":"A network control system for hydro plants to counteract the non-synchronous generation integration","year":2018,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Automatic frequency control; Automatic Generation Control; Electric power system; Governor; Frequency response; Control engineering; Flexibility (engineering); Control theory (sociology); Control system; Engineering; Frequency regulation; Control (management); Wind power; Renewable energy; Computer science; Power (physics); Telecommunications","authors":[{"name":"Harold R. Chamorro","is_ca":false},{"name":"Andres C. Sanchez","is_ca":false},{"name":"Andrés Pantoja","is_ca":false},{"name":"Ivan Zelinka","is_ca":false},{"name":"Francisco González-Longatt","is_ca":false},{"name":"Vijay K. Sood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005043496122284278,"gpt":0.2066360510731878,"spread":0.2015925549509035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004305264,0.0001684811,0.0002737194,0.0001700845,0.00009334236,0.0002179949,0.0003889373,0.00009044045,0.000007997586],"category_scores_gemma":[0.00005302182,0.0001174706,0.0001216551,0.0001467075,0.00001535214,0.0001963011,0.00001011693,0.0001261278,0.0000108939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296496,"about_ca_system_score_gemma":0.00005534616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004524814,"about_ca_topic_score_gemma":0.00002993497,"domain_scores_codex":[0.9984582,0.00006619288,0.0006906238,0.0001288412,0.0004038419,0.0002522861],"domain_scores_gemma":[0.9985148,0.000158131,0.0002593584,0.0001160427,0.0008598859,0.00009180832],"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":[0.000554374,0.0000451827,0.00004113722,0.00000679461,0.0006154916,0.00001785379,0.0003026432,0.9091449,0.02160708,0.002018592,0.0558282,0.009817693],"study_design_scores_gemma":[0.0009965843,0.0003981483,0.00004498629,0.0001141508,0.00003360713,0.0002292047,0.00002632903,0.961804,0.001566122,0.00002219005,0.03462848,0.0001362074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01010855,0.001505052,0.9782457,0.0002781843,0.009050459,0.0002757157,0.00002245689,0.00004714944,0.0004666883],"genre_scores_gemma":[0.9919617,0.00004483554,0.0002657839,0.0003538368,0.007229885,0.00004959428,0.00001812093,0.00002907649,0.00004720883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818531,"threshold_uncertainty_score":0.4790313,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164201323","doi":"10.1016/j.ijepes.2021.107178","title":"Fault zone identification and phase selection for microgrids using decision trees ensemble","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Microgrid; Relay; Backup; Fault detection and isolation; Protective relay; Computer science; Engineering; Transient (computer programming); Fault (geology); Selection (genetic algorithm); Reliability engineering; Voltage; Artificial intelligence; Power (physics); Electrical engineering","authors":[{"name":"Khaled A. Saleh","is_ca":true},{"name":"Abdelrahman Ayad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01113433440722042,"gpt":0.2826477055905564,"spread":0.271513371183336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000382331,0.0001707122,0.0003056617,0.0004338298,0.00006587942,0.0002326477,0.0001783821,0.0001472981,0.000005869275],"category_scores_gemma":[0.0001822789,0.000170337,0.0001468385,0.0003361474,0.0000147748,0.0003854555,0.00001681163,0.0001616302,0.000001662205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706933,"about_ca_system_score_gemma":0.00007757937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006009986,"about_ca_topic_score_gemma":0.00004081102,"domain_scores_codex":[0.9980937,0.0000754824,0.0009020012,0.0001980164,0.0005159082,0.0002148797],"domain_scores_gemma":[0.9981447,0.0001923922,0.0003167153,0.000101085,0.001132589,0.0001124899],"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":[0.0002211681,0.0001565804,0.0001372823,0.00001587128,0.0004413312,0.00003466955,0.00007832005,0.01717399,0.9284667,0.000713046,0.002022557,0.05053842],"study_design_scores_gemma":[0.003235196,0.0003939507,0.000222962,0.0002604421,0.0001025137,0.005878088,0.00009672499,0.6172928,0.2636516,0.0002853702,0.1082155,0.0003648633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3141463,0.00346491,0.6779256,0.00002644229,0.004278702,0.00006462868,0.000008596993,0.00003912959,0.00004567291],"genre_scores_gemma":[0.9976405,0.0001632586,0.001145175,0.00001528797,0.0007868793,0.00001055524,0.0000104094,0.00003752597,0.0001904223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6834942,"threshold_uncertainty_score":0.6946142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}