{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":47,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":47,"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":"5541727d752e","filters":{"venue":"Sustainable Energy Grids and Networks"}},"results":[{"id":"W3127943096","doi":"10.1016/j.segan.2021.100448","title":"Optimal participation of a virtual power plant in electricity market considering renewable energy: A deep learning-based approach","year":2021,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Virtual power plant; Renewable energy; Bidding; Computer science; Electricity market; Electricity; Profit (economics); Time horizon; Electric power system; Wind power; Spinning; Environmental economics; Reliability engineering; Simulation; Mathematical optimization; Power (physics); Engineering; Distributed generation; Electrical engineering; Economics; Microeconomics; Mathematics; Mechanical engineering","authors":[{"name":"Saleh Sadeghi Gougheri","is_ca":false},{"name":"Hamidreza Jahangir","is_ca":false},{"name":"Mahsa A. Golkar","is_ca":true},{"name":"Ali Ahmadian","is_ca":false},{"name":"Masoud Aliakbar Golkar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003995874469820913,"gpt":0.1751707189259227,"spread":0.1711748444561018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157946,0.0007516469,0.001724994,0.000460865,0.0005307338,0.001710687,0.00173385,0.002629421,0.005329244],"category_scores_gemma":[0.004443298,0.0008018635,0.0006073922,0.0004175802,0.001191346,0.002248702,0.001437365,0.001589217,0.0002488616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066839,"about_ca_system_score_gemma":0.00163069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00798863,"about_ca_topic_score_gemma":0.008620571,"domain_scores_codex":[0.9994063,0.0002248895,0.00001481908,0.0001210163,0.00005931696,0.0001736914],"domain_scores_gemma":[0.9977683,0.001508498,0.000177346,0.00005653245,0.0001844513,0.0003048681],"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":[0.000136606,0.0000797135,0.0004617863,0.00002628893,0.0000170465,0.00007987315,0.00001799018,0.9888732,0.000353021,0.005419761,0.0003828537,0.004151777],"study_design_scores_gemma":[0.000004277289,0.000007849115,0.00003227628,0.000001283078,0.000002028511,0.000002693241,0.000004580152,0.9988287,0.00003380642,0.001059379,0.00002181712,0.000001247817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3647718,0.0003789021,0.617135,0.001976215,0.00016333,0.0001015474,0.0001879591,0.0002270545,0.01505818],"genre_scores_gemma":[0.9917306,0.00003790521,0.005969742,0.00005467957,0.00002432225,0.00002070235,0.00003346466,0.00001708953,0.002111441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00798863,"threshold_uncertainty_score":0.01782811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385336207","doi":"10.1016/j.segan.2023.101113","title":"Flexibility: Literature review on concepts, modeling, and provision method in smart grid","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":62,"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":"Flexibility (engineering); Smart grid; Computer science; Risk analysis (engineering); Demand response; Distributed generation; Electric power system; Grid; Renewable energy; Systems engineering; Distributed computing; Engineering; Business; Power (physics); Electricity; Economics","authors":[{"name":"Sadam Hussain","is_ca":false},{"name":"Chunyan Lai","is_ca":false},{"name":"Ursula Eicker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008103705424931357,"gpt":0.2564113881544691,"spread":0.2483076827295378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001715035,0.0008397555,0.0009454691,0.00349606,0.0004937109,0.002947373,0.001532047,0.001207091,0.003572856],"category_scores_gemma":[0.005018925,0.0003809264,0.0008426596,0.008975473,0.001145462,0.005426398,0.001050108,0.001116607,0.0005411513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201253,"about_ca_system_score_gemma":0.002467528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003000369,"about_ca_topic_score_gemma":0.002405387,"domain_scores_codex":[0.9989653,0.0002842011,0.0001396376,0.000202645,0.0003496737,0.00005851849],"domain_scores_gemma":[0.9957423,0.003362478,0.0002590306,0.0001778506,0.0004076174,0.00005075166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009072261,0.00009900826,0.001675103,0.02186275,0.0001295296,0.0002400248,0.000639927,0.01275599,0.000870754,0.2349763,0.01774348,0.7089163],"study_design_scores_gemma":[0.00002843211,0.0001292773,0.003272267,0.02299901,0.0004726966,0.001327429,0.001787511,0.02338067,0.002298041,0.2166905,0.7274764,0.0001376124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004180987,0.9174643,0.05296957,0.00398506,0.0008465034,0.00005447809,0.0002810346,0.0001092032,0.02010884],"genre_scores_gemma":[0.07651152,0.8959247,0.02238456,0.001005648,0.00143342,0.00008115762,0.0003566623,0.00005281339,0.002249578],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003572856,"threshold_uncertainty_score":0.0119524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320525629","doi":"10.1016/j.segan.2023.101006","title":"Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Leverage (statistics); Key (lock); Demand response; Term (time); Generative model; Load profile; Artificial intelligence; Machine learning; Reliability engineering; Data mining; Generative grammar; Engineering; Electricity; Computer security","authors":[{"name":"Antoine Langevin","is_ca":true},{"name":"Mohamed Cheriet","is_ca":true},{"name":"Ghyslain Gagnon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02532885864955739,"gpt":0.2315063170418147,"spread":0.2061774583922573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080744,0.0008288366,0.001021088,0.0005343459,0.00032253,0.0006358082,0.001597106,0.0009944399,0.003009844],"category_scores_gemma":[0.001396908,0.0007194096,0.0008312188,0.0008623193,0.000403979,0.0009789724,0.001017531,0.001768443,0.001399081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771681,"about_ca_system_score_gemma":0.0007579817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225965,"about_ca_topic_score_gemma":0.02379114,"domain_scores_codex":[0.9997749,0.00004663581,0.00001080111,0.00007822537,0.00004345252,0.00004598294],"domain_scores_gemma":[0.9993006,0.0004749101,0.00004510213,0.00007244477,0.00007712148,0.00002985089],"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":[0.0002221613,0.0001058535,0.002282102,0.0000509756,0.00007466813,0.000125144,0.00006561053,0.8420295,0.002951094,0.004717788,0.003732826,0.1436422],"study_design_scores_gemma":[0.000001615554,0.000003249125,0.0001037663,0.000001528564,0.000003467285,0.000005610778,0.000001462279,0.9986089,0.0001809504,0.0009952051,0.00009266155,0.000001660581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08746683,0.001017579,0.9033,0.0006801742,0.0001631746,0.00003416795,0.001264597,0.003170689,0.002902739],"genre_scores_gemma":[0.9316958,0.000456017,0.05670981,0.0002944944,0.0001602973,0.00008556653,0.002407073,0.0002055134,0.007985458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01225965,"threshold_uncertainty_score":0.02437657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323304986","doi":"10.1016/j.segan.2023.101027","title":"Early detection of cyber–physical attacks on fast charging stations using machine learning considering vehicle-to-grid operation in microgrids","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","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; Denial-of-service attack; Metering mode; Computer science; Grid; Vulnerability (computing); Electric vehicle; Computer security; Real-time computing; Automotive engineering; Reliability engineering; Power (physics); Engineering; Artificial intelligence; The Internet","authors":[{"name":"Z.S. Warraich","is_ca":true},{"name":"Walid G. Morsi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00622267740357199,"gpt":0.2151421673096197,"spread":0.2089194899060478,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007257835,0.0006131215,0.0007388893,0.0003918154,0.0002662199,0.000655953,0.0006081962,0.0005292761,0.0008584858],"category_scores_gemma":[0.003248621,0.0002672019,0.000336083,0.0002407565,0.0004682597,0.0009368223,0.0005912193,0.0008563469,0.0001157393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636726,"about_ca_system_score_gemma":0.0007014661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00533492,"about_ca_topic_score_gemma":0.003973123,"domain_scores_codex":[0.9996996,0.00007146627,0.00001320705,0.00005695686,0.00006040858,0.00009840823],"domain_scores_gemma":[0.9981147,0.001173724,0.0002422853,0.0001015925,0.0002461052,0.0001217012],"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":[0.0002566955,0.0001099332,0.009616629,0.00003176049,0.00004813639,0.000136373,0.00002411737,0.9693155,0.001577441,0.001579889,0.0003482658,0.01695525],"study_design_scores_gemma":[0.000001427317,0.00001205891,0.0006435371,9.081981e-7,0.000002395012,0.000005991759,0.000005269987,0.9987772,0.0002199911,0.0003148889,0.00001499314,0.000001393272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7874682,0.0002183029,0.2092902,0.0004298089,0.00007543215,0.00003055627,0.00007152358,0.0003065176,0.002109435],"genre_scores_gemma":[0.9985984,0.00001671512,0.001105832,0.000008238034,0.000008335022,0.00000214987,0.0000192218,0.000002910784,0.0002381881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00533492,"threshold_uncertainty_score":0.01060772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387026721","doi":"10.1016/j.segan.2023.101178","title":"Clustering-based optimal operation of charging stations under high penetration of electric vehicles","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":21,"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":"Charging station; Cluster analysis; Electric vehicle; Minification; Computer science; Grid; Energy storage; Automotive engineering; Cluster (spacecraft); Market penetration; Mathematical optimization; Simulation; Power (physics); Engineering; Electrical engineering; Computer network; Mathematics","authors":[{"name":"Van‐Hai Bui","is_ca":false},{"name":"Akhtar Hussain","is_ca":true},{"name":"Sina Zarrabian","is_ca":false},{"name":"Paul M. Kump","is_ca":false},{"name":"Wencong Su","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003614198409515767,"gpt":0.1882520850883823,"spread":0.1846378866788665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350105,0.00064442,0.0008507314,0.0005370644,0.0004625655,0.0008874426,0.0009362275,0.0007188832,0.00162148],"category_scores_gemma":[0.001703435,0.0004286853,0.000367677,0.0007868753,0.0004628338,0.0005865594,0.0004794784,0.0004165332,0.0001630641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328038,"about_ca_system_score_gemma":0.001249718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01600244,"about_ca_topic_score_gemma":0.01776388,"domain_scores_codex":[0.9996685,0.00009481093,0.0000115682,0.00005713701,0.00005783419,0.0001102636],"domain_scores_gemma":[0.9993531,0.0003247434,0.00007304362,0.0000294926,0.0001686946,0.00005091297],"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":[0.0001298525,0.00002054127,0.0002588571,0.00002097124,0.00001416388,0.00002869163,0.00001670805,0.9914199,0.0009014355,0.001292169,0.0002840223,0.005612644],"study_design_scores_gemma":[0.00000696303,0.0000203174,0.000203046,0.000001715079,0.000005104411,0.000007325138,0.0000160519,0.9985984,0.0003344925,0.0007370603,0.00006638403,0.000003148881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5178837,0.0007339711,0.4601811,0.0006540472,0.0001242951,0.0001638855,0.0002465791,0.0006257331,0.01938671],"genre_scores_gemma":[0.9957884,0.00003646903,0.003532081,0.00001032483,0.000005581294,0.000006611309,0.00002253831,0.000008389997,0.0005895974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01600244,"threshold_uncertainty_score":0.03181863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225140164","doi":"10.1016/j.segan.2022.100692","title":"An improved decentralized finite-time approach for excitation control of multi-area power systems","year":2022,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Excitation; Electric power system; Control (management); Power (physics); Control theory (sociology); Computer science; Engineering; Electrical engineering; Physics; Artificial intelligence","authors":[{"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":0.004980221398625784,"gpt":0.1901961071597476,"spread":0.1852158857611218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007905211,0.0007143752,0.001122573,0.0002929581,0.0005124125,0.0007810125,0.001118653,0.0009461666,0.003588828],"category_scores_gemma":[0.001575557,0.000354459,0.0004989431,0.0003705754,0.0006288952,0.0007026768,0.0008802493,0.001068261,0.0003170206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005445194,"about_ca_system_score_gemma":0.0007153351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073266,"about_ca_topic_score_gemma":0.005247507,"domain_scores_codex":[0.9996146,0.0001390985,0.00001477345,0.0000642713,0.0001250206,0.00004221169],"domain_scores_gemma":[0.9993374,0.0004167616,0.00005008926,0.00004210194,0.0001274495,0.00002621917],"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":[0.00003575701,0.00001525976,0.00004782787,0.00003069792,0.00001347971,0.0000252557,0.00002244402,0.9794327,0.001138024,0.006060436,0.0003336816,0.01284456],"study_design_scores_gemma":[0.000003963908,0.000009206733,0.00001182196,0.000001174321,0.000001727026,0.000002727931,0.000001196535,0.9988648,0.00006421292,0.0009209377,0.0001171069,0.000001215875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006198499,0.0001043319,0.9900636,0.00007612872,0.00004767695,0.00001714095,0.0000197372,0.000118857,0.003354072],"genre_scores_gemma":[0.8901371,0.0001850349,0.1045633,0.00009348967,0.00009876973,0.0001602702,0.00006594609,0.00007724165,0.004618824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004073266,"threshold_uncertainty_score":0.01200581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3097377773","doi":"10.1016/j.segan.2020.100405","title":"A novel simulation-based method for assessment of collusion potential in wholesale electricity markets","year":2020,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Power System Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; University of Calgary","funders":"","keywords":"Collusion; Shapley value; Bidding; Oligopoly; Electricity market; Microeconomics; Profit (economics); Economics; Electricity; Incentive compatibility; Core (optical fiber); Allocative efficiency; Computer science; Incentive; Industrial organization; Game theory; Cournot competition","authors":[{"name":"Iman Taheri","is_ca":false},{"name":"Hossein Askarian Abyaneh","is_ca":false},{"name":"Hamidreza Zareipour","is_ca":true},{"name":"Alireza Bakhshai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006273033605074385,"gpt":0.2384269645813221,"spread":0.2321539309762477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008549914,0.0006332678,0.0008343835,0.0008728161,0.0005704506,0.0009707258,0.001196439,0.001382094,0.003711214],"category_scores_gemma":[0.003300822,0.0004092572,0.0006314164,0.000782189,0.0005550862,0.0009849046,0.0009375803,0.0008134201,0.0003160227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000666851,"about_ca_system_score_gemma":0.001154706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007664395,"about_ca_topic_score_gemma":0.004716133,"domain_scores_codex":[0.9996106,0.0001765265,0.00001561873,0.00004491851,0.000109651,0.00004274537],"domain_scores_gemma":[0.9984574,0.00100091,0.0001198661,0.0001024135,0.0002398837,0.00007957541],"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":[0.00004672896,0.00005516487,0.0007137918,0.00003018591,0.00003418627,0.00004636823,0.00003027748,0.9769666,0.001533136,0.007856137,0.0003862151,0.01230118],"study_design_scores_gemma":[0.000002178449,0.000003061466,0.00002607192,9.38142e-7,0.000001056491,0.000003008701,0.000001420571,0.9992932,0.00006376102,0.0005370812,0.00006682595,0.000001366965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03129671,0.000103709,0.9618184,0.0001146118,0.00005023768,0.00009722115,0.00009549414,0.0005220627,0.005901571],"genre_scores_gemma":[0.7652648,0.0001224122,0.230876,0.00007215516,0.00004611289,0.00028627,0.0001855392,0.0001648417,0.002981804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007664395,"threshold_uncertainty_score":0.01523954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385286194","doi":"10.1016/j.segan.2023.101114","title":"Effective self-committed V2G for residential complexes","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Electricity; Revenue; Restructuring; Incentive; Vehicle-to-grid; Electricity market; Scheduling (production processes); Environmental economics; Computer science; Business; Operations research; Electric vehicle; Economics; Finance; Microeconomics; Operations management; Engineering; Electrical engineering","authors":[{"name":"Mikhak Samadi","is_ca":true},{"name":"Javad Fattahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00219802074190633,"gpt":0.1866997197470236,"spread":0.1845016990051173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142032,0.0004284318,0.0003911594,0.0002546114,0.0009514771,0.001614695,0.001318848,0.0008055588,0.008904892],"category_scores_gemma":[0.001930717,0.0001502055,0.000199731,0.0003009418,0.0007733142,0.002070671,0.002550239,0.0006352654,0.001332087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869049,"about_ca_system_score_gemma":0.0008522276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037848,"about_ca_topic_score_gemma":0.004456604,"domain_scores_codex":[0.9994049,0.0002062393,0.00001602955,0.00009334792,0.0001367299,0.0001426656],"domain_scores_gemma":[0.9993686,0.000139067,0.00003537955,0.0002205207,0.0001390048,0.00009743802],"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":[0.0003947756,0.0003446192,0.00269641,0.0001715988,0.00005482785,0.0008165906,0.0009488041,0.1969735,0.0083116,0.4980255,0.03519088,0.256071],"study_design_scores_gemma":[0.00005479324,0.0001869339,0.0009201216,0.00006604047,0.00002178604,0.0004552236,0.00107465,0.6927084,0.005325921,0.2506394,0.04851371,0.00003287411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1822595,0.0007866524,0.6337494,0.001895487,0.0004752168,0.0002734308,0.0002262694,0.001929237,0.1784047],"genre_scores_gemma":[0.9797704,0.00007900616,0.009647598,0.0001130899,0.0000245213,0.00002727119,0.00006987626,0.0000612993,0.01020694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008904892,"threshold_uncertainty_score":0.02978987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4375844648","doi":"10.1016/j.segan.2023.101063","title":"Optimal allocation of FCSs and PV units in smart grids considering traffic and generation dispatch","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"American University of Sharjah","keywords":"Computer science; Optimal allocation; Mathematical optimization; Simulation; Mathematics","authors":[{"name":"Abdelfatah Ali","is_ca":false},{"name":"Mostafa F. Shaaban","is_ca":false},{"name":"Akmal Abdelfatah","is_ca":false},{"name":"Maher A. Azzouz","is_ca":true},{"name":"Ahmed S. A. Awad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005593991547511668,"gpt":0.1808885201368809,"spread":0.1752945285893692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007820014,0.0006995028,0.001281869,0.000637087,0.0004795024,0.001644072,0.001059868,0.001231047,0.005498237],"category_scores_gemma":[0.002030271,0.0007156872,0.0004111195,0.0008172655,0.0006010996,0.001224463,0.000580363,0.0006983542,0.0004096315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640978,"about_ca_system_score_gemma":0.001055571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007833228,"about_ca_topic_score_gemma":0.009963503,"domain_scores_codex":[0.9995098,0.0001848613,0.00001571094,0.00008531584,0.00006789839,0.0001363784],"domain_scores_gemma":[0.999408,0.0002986675,0.0000628359,0.00002897407,0.0001203554,0.00008124957],"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":[0.0001115406,0.00002910202,0.0002429881,0.00002472746,0.00001520175,0.00003137557,0.00001827603,0.9835405,0.0005880315,0.005346618,0.0005877046,0.009463979],"study_design_scores_gemma":[0.0000142599,0.00002313551,0.0001655277,0.000003847327,0.00000793758,0.000006379157,0.00001819599,0.9969236,0.0001884577,0.002393223,0.0002520746,0.000003264583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.369207,0.0008648877,0.5812503,0.001287547,0.0003061999,0.0003240095,0.0005715392,0.0004918723,0.04569677],"genre_scores_gemma":[0.9857432,0.00008190284,0.01140126,0.0000297656,0.00002247294,0.00004104903,0.00003875922,0.00001778889,0.002623723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007833228,"threshold_uncertainty_score":0.0183934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391425506","doi":"10.1016/j.segan.2024.101294","title":"Evaluation of regression models and Bayes-Ensemble Regressor technique for non-intrusive load monitoring","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Regression; Regression analysis; Computer science; Ensemble learning; Naive Bayes classifier; Predictive modelling; Bayesian probability; Machine learning; Energy consumption; Data mining; Bayes' theorem; Engineering; Artificial intelligence; Statistics; Support vector machine; Mathematics","authors":[{"name":"Mohammad Kaosain Akbar","is_ca":true},{"name":"Manar Amayri","is_ca":true},{"name":"Nizar Bouguila","is_ca":true},{"name":"Benoit Delinchant","is_ca":false},{"name":"Fréderic Würtz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01191565265054904,"gpt":0.2506398068780464,"spread":0.2387241542274974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005297496,0.001024466,0.001159003,0.0005744713,0.000318413,0.0007414034,0.00114961,0.0009277398,0.001478302],"category_scores_gemma":[0.009500797,0.0003135575,0.0006207958,0.0005257006,0.0001921714,0.001403781,0.0006003572,0.0009913595,0.0004681134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749826,"about_ca_system_score_gemma":0.0008097616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054329,"about_ca_topic_score_gemma":0.009694069,"domain_scores_codex":[0.9984908,0.0007804228,0.0000696874,0.0002245443,0.0003408312,0.00009378788],"domain_scores_gemma":[0.9956599,0.002986472,0.0001384817,0.0002516878,0.0009035018,0.0000599832],"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":[0.0005924736,0.0002785435,0.006355953,0.0001173035,0.0002399894,0.00005638774,0.00006524943,0.6852216,0.004310931,0.002841561,0.002240113,0.2976798],"study_design_scores_gemma":[0.000003221774,0.00002187827,0.0003136122,0.000002541802,0.000009770822,0.000005409955,0.000003610453,0.9989039,0.0004853519,0.0001769236,0.00007145265,0.000002336447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409983,0.001089351,0.8534324,0.0002522781,0.0001095954,0.00006769908,0.0002181287,0.001925775,0.001906431],"genre_scores_gemma":[0.8313153,0.0004767901,0.1645194,0.00008283585,0.00006510747,0.00007733192,0.0006692574,0.0001543941,0.002639529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054329,"threshold_uncertainty_score":0.02801615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405740955","doi":"10.1016/j.segan.2024.101608","title":"Electric vehicle management in multi-energy systems","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Electric vehicle; Energy management; Systems engineering; Energy (signal processing); Engineering; Automotive engineering; Computer science; Physics; Power (physics)","authors":[{"name":"Furkan Ahmad","is_ca":false},{"name":"Bijaya Ketan Panigrahi","is_ca":false},{"name":"Michela Longo","is_ca":false},{"name":"Luluwah Al‐Fagih","is_ca":false},{"name":"Mohammad Saad Alam","is_ca":false},{"name":"Hossam Gaber","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006481131769313995,"gpt":0.2254005454830144,"spread":0.2189194137137004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003204501,0.0003207814,0.0003666591,0.0003094336,0.0004063931,0.00138928,0.0006011818,0.0004993427,0.005241675],"category_scores_gemma":[0.0005979725,0.0001472963,0.0002166349,0.0005133678,0.0002499521,0.001768414,0.0008151804,0.0004508731,0.0003998562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768264,"about_ca_system_score_gemma":0.000398812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086989,"about_ca_topic_score_gemma":0.003059931,"domain_scores_codex":[0.999824,0.00004806792,0.000008822576,0.00004502941,0.00003512614,0.00003894872],"domain_scores_gemma":[0.9998348,0.00006316615,0.00002151109,0.00001734763,0.00004356189,0.00001977794],"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":[0.0001817565,0.0001198864,0.003639979,0.0001715,0.000102679,0.0004725928,0.00009095432,0.7853447,0.004321478,0.05739912,0.006300354,0.1418551],"study_design_scores_gemma":[0.00000952652,0.00005883361,0.001260541,0.0000254911,0.00002054798,0.0001399257,0.000167222,0.9528953,0.00140909,0.03252935,0.01147414,0.00001005289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2622807,0.006638912,0.6294124,0.003397852,0.0008937434,0.0001346327,0.0004269371,0.0006257156,0.09618908],"genre_scores_gemma":[0.979889,0.0006232531,0.006431381,0.00006823623,0.00007727666,0.00001535367,0.00007788133,0.00002534264,0.01279233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005241675,"threshold_uncertainty_score":0.01753509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362511207","doi":"10.1016/j.segan.2023.101036","title":"Snow loss modeling for solar modules using image processing and deep learning","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":11,"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":"Snow; Environmental science; Photovoltaic system; Renewable energy; Pixel; Photovoltaics; Solar energy; Standard deviation; Meteorology; Computer science; Statistics; Mathematics; Engineering; Artificial intelligence; Electrical engineering; Geography","authors":[{"name":"Xinyi Zhang","is_ca":false},{"name":"Mohamad T. Araji","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01075638632889273,"gpt":0.2423125084857406,"spread":0.2315561221568479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692157,0.0004892134,0.0003139689,0.0002708556,0.0002098715,0.0005263679,0.0007176303,0.0005061641,0.001912141],"category_scores_gemma":[0.0005390204,0.0002975857,0.0004379003,0.0004532583,0.0002176266,0.000920283,0.0003524292,0.0007557548,0.0004200511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647282,"about_ca_system_score_gemma":0.0005016529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111178,"about_ca_topic_score_gemma":0.01706144,"domain_scores_codex":[0.9999441,0.00000602121,0.000002217628,0.00001551833,0.00002114685,0.00001106123],"domain_scores_gemma":[0.9999069,0.00002923017,0.00001231915,0.00001064415,0.00003403984,0.00000688525],"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":[0.00002476725,0.0000288017,0.0007312261,0.00002343398,0.0000203159,0.00002477344,0.00001312162,0.9618642,0.002410692,0.001538078,0.001435858,0.03188479],"study_design_scores_gemma":[7.821688e-7,0.000001395455,0.0001198398,9.691397e-7,0.000001438491,0.000002832273,0.000001349097,0.9987269,0.0004098399,0.0005894837,0.0001441121,0.000001058939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06314481,0.0003560921,0.9296902,0.0002885903,0.00009220435,0.00003204077,0.0004455842,0.001059145,0.004891263],"genre_scores_gemma":[0.9234403,0.0003636813,0.06505344,0.0001594317,0.00007428786,0.0000550769,0.0006789444,0.0002893777,0.00988543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111178,"threshold_uncertainty_score":0.02210623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045570855","doi":"10.1016/j.segan.2014.11.002","title":"Assessment and performance evaluation of DC-side interactions of voltage-source inverters interfacing renewable energy systems","year":2014,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Voltage source; Control theory (sociology); Current source; Electronic engineering; Interfacing; Charge pump; Voltage; Computer science; Capacitor; Engineering; Topology (electrical circuits); Electrical engineering","authors":[{"name":"Amr Radwan","is_ca":true},{"name":"Yasser Abdel‐Rady I. Mohamed","is_ca":true},{"name":"Ehab F. El‐Saadany","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004841952275494127,"gpt":0.1997343637962326,"spread":0.1948924115207385,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006071597,0.0005044352,0.0004805152,0.0003755911,0.0003610651,0.0007864637,0.0004602732,0.0004463601,0.002060622],"category_scores_gemma":[0.001491316,0.0001499019,0.0002773817,0.0003722124,0.0001828121,0.0004347009,0.0003160175,0.0003035543,0.0003337029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005577562,"about_ca_system_score_gemma":0.000288982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246888,"about_ca_topic_score_gemma":0.003054101,"domain_scores_codex":[0.9994367,0.0001950009,0.00003086193,0.00005644485,0.0002226908,0.00005834099],"domain_scores_gemma":[0.9985341,0.000735687,0.0001139975,0.0001146687,0.0004437814,0.00005778332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.006121051,0.0008797625,0.01292787,0.0005644058,0.0002240287,0.0003282417,0.0001935653,0.6996112,0.1403433,0.001535862,0.0009551294,0.1363156],"study_design_scores_gemma":[0.00007920893,0.004089999,0.009601041,0.00001515736,0.0001378537,0.000105246,0.00008920932,0.912836,0.07159487,0.0003693278,0.001060813,0.00002121993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741014,0.0003044669,0.01830727,0.00005498693,0.0000188756,0.00004788303,0.0001304897,0.0001876646,0.00684692],"genre_scores_gemma":[0.9987518,0.00002696515,0.0007371415,0.000003881276,0.000002235569,0.000005176691,0.00004445619,0.000007052765,0.0004212634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002246888,"threshold_uncertainty_score":0.006893456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404205163","doi":"10.1016/j.segan.2024.101560","title":"Cooperative price-based demand response program for multiple aggregators based on multi-agent reinforcement learning and Shapley-value","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Collège Shawinigan; Université du Québec à Trois-Rivières","funders":"","keywords":"Shapley value; Reinforcement learning; Reinforcement; On demand; Demand response; Microeconomics; Value (mathematics); Computer science; Economics; Game theory; Artificial intelligence; Engineering; Machine learning","authors":[{"name":"Alejandro Fraija","is_ca":true},{"name":"Nilson Henao","is_ca":true},{"name":"Kodjo Agbossou","is_ca":true},{"name":"Sousso Kélouwani","is_ca":true},{"name":"Michaël Fournier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005931316356659513,"gpt":0.2249855837600378,"spread":0.2190542674033783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362133,0.00061779,0.0008177178,0.0003367643,0.0004099051,0.0007428802,0.001465871,0.0007265308,0.001965076],"category_scores_gemma":[0.002019087,0.0002771481,0.0005319171,0.0003119492,0.0006920918,0.0008299834,0.00101963,0.0009669924,0.0002017095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008949047,"about_ca_system_score_gemma":0.001055131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422932,"about_ca_topic_score_gemma":0.00196447,"domain_scores_codex":[0.9992925,0.000245446,0.00002823223,0.0001554367,0.0001708762,0.0001075445],"domain_scores_gemma":[0.9989059,0.0004605047,0.0001724638,0.00009814871,0.0002286804,0.00013443],"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":[0.0001223072,0.0002555734,0.0008656504,0.00005799668,0.00007135033,0.0001608311,0.0001141991,0.933576,0.004549386,0.01474396,0.0008222541,0.04466052],"study_design_scores_gemma":[0.00001221155,0.00004207845,0.00004799006,0.000001370531,0.000004846237,0.00001279288,0.00000438669,0.9977296,0.0003634527,0.001620077,0.000157778,0.00000346566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06167962,0.00007835322,0.9339081,0.0001839912,0.0000339523,0.0001261603,0.00001916778,0.0003394691,0.003631167],"genre_scores_gemma":[0.9534297,0.00003692825,0.04438967,0.00006349217,0.00001633454,0.0001058003,0.00002166991,0.00002060271,0.00191583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002422932,"threshold_uncertainty_score":0.007203698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391774748","doi":"10.1016/j.segan.2024.101319","title":"A deep clustering framework for load pattern segmentation","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Education; CHEO Research Institute","keywords":"Cluster analysis; Computer science; Autoencoder; Profiling (computer programming); Dimensionality reduction; Bottleneck; Data mining; Smart grid; Smart meter; Big data; Artificial intelligence; Machine learning; Deep learning; Engineering","authors":[{"name":"Abhimanyu Kumar","is_ca":false},{"name":"Rammohan Mallipeddi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005344232620995314,"gpt":0.2141001998455805,"spread":0.2087559672245851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007199445,0.001037303,0.001502342,0.001543051,0.000833977,0.001254429,0.002917109,0.001735748,0.003890256],"category_scores_gemma":[0.001769883,0.0009144826,0.001335637,0.002192807,0.0005279072,0.001370124,0.001499332,0.001960361,0.002139672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446963,"about_ca_system_score_gemma":0.001607647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04461391,"about_ca_topic_score_gemma":0.07000826,"domain_scores_codex":[0.9995408,0.00008691086,0.00002342536,0.0001650746,0.0001007955,0.00008293155],"domain_scores_gemma":[0.9993735,0.000196565,0.00004266616,0.0001252109,0.0002119009,0.00005016727],"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":[0.0002356208,0.0001696749,0.001343123,0.0001047969,0.0001785461,0.0000840818,0.0001039799,0.578999,0.00591815,0.01611218,0.01869889,0.3780519],"study_design_scores_gemma":[0.000002944307,0.000005090266,0.0001008308,0.000003678713,0.000004823634,0.000006116084,0.000004248488,0.9946249,0.000378996,0.004299521,0.0005651428,0.000003684158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01024505,0.0004724022,0.9835579,0.0002849565,0.00007327773,0.00004383499,0.0007115342,0.00292875,0.001682277],"genre_scores_gemma":[0.4069386,0.0006892238,0.5674954,0.0005640671,0.0002609114,0.000246783,0.0067,0.001190468,0.01591456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04461391,"threshold_uncertainty_score":0.08870846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400077752","doi":"10.1016/j.segan.2024.101460","title":"Hierarchical transactive home energy management system groups coordination through multi-level consensus sharing-based distributed ADMM","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Transactive memory; Hierarchy; Aggregate (composite); Grid; Constraint (computer-aided design); Computer science; Electricity; Smart grid; Distributed computing; Demand response; Distributed generation; Environmental economics; Operations research; Knowledge management; Engineering; Economics; Renewable energy; Mathematics","authors":[{"name":"Farshad Etedadi","is_ca":true},{"name":"Sousso Kélouwani","is_ca":true},{"name":"Kodjo Agbossou","is_ca":true},{"name":"Nilson Henao","is_ca":true},{"name":"François Laurencelle","is_ca":true},{"name":"Sayed Saeed Hosseini","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009116366504631592,"gpt":0.2023544364270017,"spread":0.1932380699223701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368572,0.0008028743,0.0009243279,0.0004839893,0.0007617736,0.001207432,0.001649703,0.0007750593,0.001469256],"category_scores_gemma":[0.001441888,0.000399684,0.0007043241,0.0006061551,0.0007759465,0.001043368,0.001881844,0.00101451,0.0002520439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007590334,"about_ca_system_score_gemma":0.001383691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004716542,"about_ca_topic_score_gemma":0.005097194,"domain_scores_codex":[0.9990857,0.0002741349,0.00005239366,0.0002381439,0.0002389937,0.0001105931],"domain_scores_gemma":[0.9993462,0.0002129043,0.0001184625,0.00008181058,0.0001860093,0.00005474424],"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":[0.00006220533,0.0000416591,0.0003632402,0.00004260986,0.00004672482,0.00007247456,0.00010862,0.9562967,0.00364888,0.008304987,0.0006114566,0.03040052],"study_design_scores_gemma":[0.000006729294,0.00001954786,0.00003577333,0.000001807481,0.000005528682,0.000006642623,0.00001199216,0.9975152,0.0003817959,0.001736072,0.0002756435,0.000003167343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009638659,0.0000626741,0.9877416,0.00007956702,0.00002052644,0.00003125329,0.00001354618,0.0001739563,0.002238223],"genre_scores_gemma":[0.8319671,0.0001005321,0.1644555,0.0001262705,0.00003016419,0.0001599726,0.00008094041,0.00003621032,0.003043324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004716542,"threshold_uncertainty_score":0.009378195,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387746049","doi":"10.1016/j.segan.2023.101190","title":"Stochastic multi-benefit planning of mobile energy storage in reconfigurable active distribution systems","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; Independent Electricity System Operator","funders":"King Abdulaziz University","keywords":"Control reconfiguration; Energy storage; Energy (signal processing); Engineering; Mathematical optimization; Reliability (semiconductor); Genetic algorithm; Stochastic programming; Renewable energy; Linear programming; Integer programming; Reliability engineering; Computer science; Embedded system; Electrical engineering; Power (physics)","authors":[{"name":"Haytham M. A. Ahmed","is_ca":true},{"name":"Hatem F. Sindi","is_ca":false},{"name":"Maher A. Azzouz","is_ca":false},{"name":"Ahmed S. A. Awad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004527605417678736,"gpt":0.1903326618423065,"spread":0.1858050564246277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001129893,0.0009201623,0.001673325,0.0005807625,0.0005157054,0.001543416,0.001097869,0.00120035,0.003382938],"category_scores_gemma":[0.003075618,0.001073797,0.000624779,0.0009770595,0.001159475,0.001123331,0.0009740758,0.0009377059,0.0002209906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695677,"about_ca_system_score_gemma":0.001043717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308407,"about_ca_topic_score_gemma":0.01263473,"domain_scores_codex":[0.9995278,0.0002187491,0.00001421482,0.00006309644,0.00006226228,0.0001138826],"domain_scores_gemma":[0.9983779,0.001173943,0.000154929,0.00004429256,0.000136006,0.0001128372],"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":[0.00002312841,0.000004051286,0.00005565738,0.000006570797,0.000006288258,0.00001752914,0.000003911475,0.9981129,0.00004367686,0.001204743,0.00007780697,0.000443685],"study_design_scores_gemma":[0.000005038683,0.00001007742,0.00004804303,0.000001838461,0.000003006053,0.000002679229,0.000005158393,0.9987395,0.00002914324,0.001101544,0.00005211681,0.000001900012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.367287,0.001458911,0.6039049,0.001957925,0.0001904902,0.0002163346,0.0007940802,0.000340926,0.02384943],"genre_scores_gemma":[0.9928458,0.0001221675,0.004603266,0.00003845734,0.00001483711,0.00004261478,0.00005812703,0.00002408323,0.002250664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01308407,"threshold_uncertainty_score":0.02601588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127830066","doi":"10.1016/j.segan.2021.100444","title":"Comprehensive small-signal stability analysis of islanded synchronous generator-based microgrids","year":2021,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Voltage droop; Control theory (sociology); SIGNAL (programming language); Stability (learning theory); Small-signal model; Generator (circuit theory); Instability; Power (physics); Voltage; Computer science; Engineering; Voltage regulator; Control (management); Physics; Mechanics","authors":[{"name":"Mohammad Adelpour","is_ca":false},{"name":"Mohsen Hamzeh","is_ca":false},{"name":"Keyhan Sheshyekani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004913474951508971,"gpt":0.1715707158105194,"spread":0.1666572408590104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565064,0.0007686115,0.0006161841,0.0004976044,0.0002530024,0.0006977741,0.000488335,0.0003637412,0.002987917],"category_scores_gemma":[0.0009832296,0.0002086643,0.0004999433,0.0003831327,0.0003135931,0.0006275369,0.0004378878,0.0003497539,0.0003508645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003741127,"about_ca_system_score_gemma":0.000361506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00343504,"about_ca_topic_score_gemma":0.003504944,"domain_scores_codex":[0.9998722,0.00004277303,0.000005782586,0.00001945617,0.00004351976,0.00001616862],"domain_scores_gemma":[0.9997776,0.00009971265,0.00002614413,0.000015977,0.00007044007,0.00001020973],"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":[0.00005002045,0.00001596333,0.0002760981,0.00005335033,0.00002968881,0.00005529097,0.00002777872,0.983278,0.002342121,0.003902358,0.0003190143,0.009650346],"study_design_scores_gemma":[0.000001480728,0.00001524062,0.0001095967,0.000002070315,0.000004164981,0.000004837672,0.000004561276,0.9988437,0.0001476837,0.0007964663,0.00006907111,0.000001067839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881465,0.0009798841,0.7888462,0.0002257926,0.00004860463,0.00009052535,0.0002519651,0.0006363914,0.02077423],"genre_scores_gemma":[0.9928063,0.0002148205,0.004689584,0.00001468814,0.00001560537,0.00002753775,0.00008922248,0.00003312759,0.002108982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00343504,"threshold_uncertainty_score":0.00999558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389778837","doi":"10.1016/j.segan.2023.101255","title":"Intelligent categorization and interactive mechanism for smart demand side management of residential consumers","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Categorization; Quarter (Canadian coin); Demand side; Environmental economics; Baseline (sea); Classifier (UML); Duration (music); Peak load; Load profile; Operations management; Reliability engineering; Operations research; Artificial intelligence; Electricity; Economics; Engineering; Automotive engineering; Electrical engineering","authors":[{"name":"Abhishek Roshan","is_ca":false},{"name":"D. Ganga","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005419337368521578,"gpt":0.2054731916341797,"spread":0.2000538542656582,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007025499,0.0003027132,0.0004839005,0.0006384401,0.0008303532,0.001216669,0.001210895,0.0006562556,0.004290855],"category_scores_gemma":[0.001222096,0.0001844026,0.0002848741,0.0005009056,0.000309338,0.001438227,0.001001674,0.0004879471,0.0008237102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006873692,"about_ca_system_score_gemma":0.0006560101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376106,"about_ca_topic_score_gemma":0.003737453,"domain_scores_codex":[0.9995081,0.00009696603,0.00002968701,0.0001479165,0.0001340098,0.00008329542],"domain_scores_gemma":[0.9993979,0.0001544615,0.00005668265,0.0001349211,0.00019429,0.00006173951],"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":[0.002198586,0.002451411,0.01834123,0.0002092076,0.0001537753,0.0006549461,0.001529118,0.06683186,0.113738,0.04442694,0.02788848,0.7215765],"study_design_scores_gemma":[0.00006371833,0.0002012654,0.005789132,0.00001832199,0.00007192344,0.0001333226,0.0004024135,0.933089,0.02839216,0.02236861,0.009409494,0.00006068668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3709247,0.0004845038,0.5961487,0.0009163306,0.0003335801,0.0003548487,0.0003798181,0.008998301,0.02145921],"genre_scores_gemma":[0.9684566,0.00003959328,0.027482,0.0001096143,0.00003058021,0.00006338355,0.000164283,0.00004181414,0.003612178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004290855,"threshold_uncertainty_score":0.01435435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391543158","doi":"10.1016/j.segan.2024.101291","title":"Smart grid cyberattack types classification: A fine tree bagging-based ensemble learning approach with feature selection","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"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":"Feature selection; Ensemble learning; Feature (linguistics); Computer science; Artificial intelligence; Tree (set theory); Smart grid; Selection (genetic algorithm); Machine learning; Pattern recognition (psychology); Data mining; Engineering; Mathematics","authors":[{"name":"Victor O. Ijeh","is_ca":true},{"name":"Walid G. Morsi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004168001255457918,"gpt":0.1837338913279906,"spread":0.1795658900725327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777807,0.001081041,0.001830342,0.001825045,0.0008342078,0.001224483,0.002010098,0.001198619,0.001469792],"category_scores_gemma":[0.003469386,0.000371821,0.001284774,0.001833106,0.0003009599,0.002300002,0.001422297,0.002121185,0.0007664826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004674131,"about_ca_system_score_gemma":0.0008874269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008759855,"about_ca_topic_score_gemma":0.0113987,"domain_scores_codex":[0.9989924,0.0002090471,0.00007288237,0.0002489819,0.0002906195,0.0001860985],"domain_scores_gemma":[0.9982308,0.0005891164,0.00009328192,0.0002620226,0.0007346244,0.00009023656],"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":[0.0004440357,0.0007731077,0.01211331,0.00007599468,0.0003666722,0.000140352,0.0001266255,0.2498319,0.00504401,0.002336485,0.01176282,0.7169847],"study_design_scores_gemma":[0.000004811636,0.00003013488,0.0007663475,0.000005121232,0.00003070282,0.00001311902,0.00001494198,0.9970824,0.0006056512,0.001093112,0.0003458466,0.000007865977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08686411,0.00070031,0.9071321,0.0004477842,0.0003112225,0.000120476,0.0005515667,0.001910172,0.001962188],"genre_scores_gemma":[0.8347202,0.0002978758,0.1580477,0.0002968416,0.0002159329,0.0001346573,0.002013443,0.0001430113,0.00413043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008759855,"threshold_uncertainty_score":0.01741773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391617036","doi":"10.1016/j.segan.2024.101302","title":"An expert system-based restoration method for energy services","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Zayed University","keywords":"Downtime; Reliability engineering; Path (computing); Critical path method; Engineering; Plan (archaeology); Computer science; Observability; Electric power system; Operations research; Power (physics); Systems engineering; Computer network","authors":[{"name":"Waqas Ahmad","is_ca":true},{"name":"Babar Shah","is_ca":false},{"name":"Tariq Hussain","is_ca":false},{"name":"Shaker El–Sappagh","is_ca":false},{"name":"Farman Ali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003186010796874422,"gpt":0.2290974482386707,"spread":0.2259114374417963,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007253782,0.0005205892,0.000666263,0.0005133315,0.0003770203,0.0005605855,0.0007523287,0.0009347315,0.006367295],"category_scores_gemma":[0.001984442,0.0002516389,0.0004693269,0.0003674683,0.0003040014,0.0006074526,0.0004507401,0.0008949951,0.0008955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228171,"about_ca_system_score_gemma":0.0008775339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006646113,"about_ca_topic_score_gemma":0.007017458,"domain_scores_codex":[0.9995896,0.0001253624,0.00002360403,0.00009443618,0.0001333042,0.00003360226],"domain_scores_gemma":[0.9993173,0.0003536449,0.00003139564,0.00003753355,0.0002344295,0.0000256938],"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":[0.0002596763,0.0002293982,0.0003332291,0.0001806154,0.00006825531,0.0001546661,0.0001020626,0.5108296,0.008641142,0.009842942,0.005835662,0.4635227],"study_design_scores_gemma":[0.00001320437,0.000023478,0.00006599171,0.000006587673,0.000008134349,0.000022703,0.000006593066,0.9966344,0.00064877,0.001836539,0.000728987,0.000004586353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003235749,0.00004980579,0.9944137,0.00004477661,0.00002897857,0.00004361839,0.00002850037,0.0003972934,0.001757591],"genre_scores_gemma":[0.2777576,0.0001358658,0.7142375,0.0002001013,0.00005835536,0.0002174242,0.0001904491,0.00009921642,0.007103619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006646113,"threshold_uncertainty_score":0.02130073,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407260368","doi":"10.1016/j.segan.2025.101643","title":"Coordinated operational optimization of water and power systems under emergency conditions","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"European Regional Development Fund; Horizon 2020 Framework Programme; Research and Innovation Foundation","keywords":"Power (physics); Environmental science; Computer science; Engineering; Physics; Thermodynamics","authors":[{"name":"Gal Perelman","is_ca":false},{"name":"Tomer Shmaya","is_ca":true},{"name":"Aviad Navon","is_ca":false},{"name":"Stelios G. Vrachimis","is_ca":false},{"name":"Mathaios Panteli","is_ca":false},{"name":"Δημήτριος Γ. Ηλιάδης","is_ca":false},{"name":"Avi Ostfeld","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003294216197736577,"gpt":0.1958798305562235,"spread":0.192585614358487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505631,0.0009334597,0.001331751,0.0005852289,0.0004982008,0.001959633,0.0009612665,0.001005594,0.002953198],"category_scores_gemma":[0.003891143,0.0006159231,0.0004373033,0.0007062386,0.0009301389,0.001491835,0.00120532,0.001022392,0.0001816355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339527,"about_ca_system_score_gemma":0.001985031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009173848,"about_ca_topic_score_gemma":0.008468519,"domain_scores_codex":[0.9990483,0.0004399075,0.00002783877,0.0001196922,0.0001299269,0.0002343472],"domain_scores_gemma":[0.9985123,0.0008975355,0.0002296327,0.00006388929,0.0001828169,0.0001138229],"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":[0.00006585802,0.00002516216,0.0002573179,0.00001270655,0.00002115381,0.00003496679,0.00001511593,0.9927996,0.0002039868,0.003219411,0.0003687329,0.002976032],"study_design_scores_gemma":[0.00001487368,0.00004116848,0.0002508921,0.000002614584,0.00000859287,0.000005431765,0.00004077283,0.9956701,0.0001411501,0.003628923,0.0001915006,0.000003861831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.412007,0.00075266,0.5490115,0.002344107,0.0001849032,0.0002873677,0.0007442472,0.0004941107,0.03417397],"genre_scores_gemma":[0.9942045,0.00006713541,0.004508446,0.00002992371,0.0000129854,0.00004283215,0.00006264338,0.00002418374,0.001047375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009173848,"threshold_uncertainty_score":0.01824087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412736065","doi":"10.1016/j.segan.2025.101890","title":"Distributed alternating direction method of multipliers approach for the power distribution network reconfiguration","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Agence Nationale de la Recherche","keywords":"Control reconfiguration; Power (physics); Distribution (mathematics); Computer science; Distributed computing; Physics; Mathematics; Embedded system; Quantum mechanics","authors":[{"name":"Yacine Mokhtari","is_ca":false},{"name":"Patrick Coirault","is_ca":false},{"name":"Emmanuel Moulay","is_ca":false},{"name":"Jérôme Le Ny","is_ca":true},{"name":"Didier Larraillet","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004207788460870558,"gpt":0.2196350846448573,"spread":0.2154272961839867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815599,0.0005881797,0.0003540902,0.0003004258,0.0001937567,0.0004120815,0.0005010603,0.0003849897,0.004761656],"category_scores_gemma":[0.0006276997,0.0002017657,0.0002697079,0.000418038,0.0002127802,0.0004857799,0.0003067448,0.0007443317,0.0007842967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003272,"about_ca_system_score_gemma":0.0003904855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006167279,"about_ca_topic_score_gemma":0.001557217,"domain_scores_codex":[0.9998924,0.00004750264,0.000004482749,0.00001375159,0.00003487217,0.000006954302],"domain_scores_gemma":[0.9998462,0.00007382154,0.00001353958,0.0000141007,0.00004624394,0.000006047609],"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":[0.000177086,0.00008370452,0.0003150377,0.0003309899,0.00007952421,0.0001004244,0.00007980524,0.4319572,0.0202835,0.09791926,0.007781747,0.4408917],"study_design_scores_gemma":[0.00001859438,0.00004941041,0.00006016427,0.00001030093,0.000008189542,0.00004882792,0.000007964389,0.9846727,0.001748926,0.007967211,0.005401507,0.000006204542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001795011,0.0002173966,0.9952205,0.00006006685,0.00005775724,0.00001422231,0.0000129669,0.00008088475,0.002541264],"genre_scores_gemma":[0.1441791,0.0006516634,0.8462474,0.0000947217,0.00009802401,0.0001618206,0.00007935078,0.00009684006,0.008391006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004761656,"threshold_uncertainty_score":0.01592934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395455513","doi":"10.1016/j.segan.2024.101395","title":"Typical and extreme scenario-based capacity and connection coordinated planning method for integrated energy hubs","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":4,"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":"Economic and Social Research Institute; State Grid Corporation of China; State Grid Fujian Electric Power Company","keywords":"Connection (principal bundle); Energy (signal processing); Computer science; Systems engineering; Engineering; Physics; Mechanical engineering","authors":[{"name":"Zhenwei Li","is_ca":false},{"name":"Ying Xu","is_ca":false},{"name":"Zhongkai Yi","is_ca":false},{"name":"Jianing Xu","is_ca":false},{"name":"Xuechen Bai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009972220129623042,"gpt":0.2164281668452206,"spread":0.2064559467155976,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007985096,0.000738088,0.0006043455,0.0005762909,0.0005508095,0.0006856028,0.001111925,0.0007982163,0.004689971],"category_scores_gemma":[0.001383759,0.0003555786,0.0006121324,0.0009989947,0.0003730143,0.0008416023,0.0006067733,0.0005937376,0.0002523739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008103232,"about_ca_system_score_gemma":0.001160742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042125,"about_ca_topic_score_gemma":0.01017073,"domain_scores_codex":[0.9995454,0.0001886895,0.0000146999,0.00009356569,0.00008463507,0.00007309091],"domain_scores_gemma":[0.9996186,0.0001742067,0.00002931972,0.00003454589,0.0001113242,0.00003191281],"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":[0.00003608828,0.00001119675,0.0001915535,0.00001665631,0.00001378643,0.00004060615,0.00001812047,0.9866474,0.0002839194,0.003573849,0.0007528506,0.008414064],"study_design_scores_gemma":[0.000004557112,0.000008018533,0.00006800631,0.000002130167,0.000004078942,0.00001191809,0.000008628734,0.9975892,0.0001191139,0.001983605,0.0001977103,0.000002933372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05151916,0.0002023044,0.9346021,0.0002137072,0.00005585459,0.0001371566,0.0003863411,0.000393948,0.01248939],"genre_scores_gemma":[0.8673881,0.000145713,0.1275117,0.00007228371,0.00002801393,0.000245477,0.0004087417,0.00008740408,0.004112581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01042125,"threshold_uncertainty_score":0.0207212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388914669","doi":"10.1016/j.segan.2023.101230","title":"Fuzzy adaptive dP-perturb and observe maximum power point tracking controller for wind energy conversion systems: Design and real-time implementation","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Cegep de Sept Iles; École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Maximum power point tracking; Fuzzy logic; Robustness (evolution); Fuzzy control system; Maximum power principle; Offset (computer science); Engineering; Computer science; Control engineering; Photovoltaic system; Artificial intelligence; Inverter","authors":[{"name":"Hicham Gouabi","is_ca":true},{"name":"Abdeldjebar Hazzab","is_ca":true},{"name":"Mohamed Habbab","is_ca":false},{"name":"Miloud Rezkallah","is_ca":true},{"name":"Ambrish Chandra","is_ca":true},{"name":"Hussein Ibrahim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008767373335635554,"gpt":0.2035765914449691,"spread":0.1948092181093336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003894269,0.0004243994,0.0004854683,0.0002169156,0.0004769876,0.0008027641,0.0006999406,0.0005789461,0.002013884],"category_scores_gemma":[0.0006780231,0.0002410068,0.0003072403,0.0002475612,0.0002792088,0.0003575132,0.0002824302,0.0006653047,0.0003028723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000364863,"about_ca_system_score_gemma":0.0003736968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003952463,"about_ca_topic_score_gemma":0.005606588,"domain_scores_codex":[0.9997475,0.00003895989,0.00001866024,0.00007180638,0.00009734313,0.00002568729],"domain_scores_gemma":[0.9997573,0.00007456452,0.00003805439,0.00001761519,0.0001028685,0.00000961816],"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":[0.000865232,0.0004127567,0.00144046,0.0005953689,0.0001569817,0.0003961415,0.0003163358,0.5023874,0.06255244,0.01033879,0.00371322,0.4168248],"study_design_scores_gemma":[0.00006338091,0.0002835493,0.0007121834,0.00001253153,0.00002866588,0.00006831557,0.00001587097,0.9900361,0.006812641,0.0006069733,0.001348663,0.00001111121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06289892,0.0005554259,0.9262091,0.0001997296,0.0001938691,0.0001279775,0.00005998469,0.000651679,0.009103379],"genre_scores_gemma":[0.9624944,0.0001478325,0.03425922,0.00008848767,0.00003492458,0.00009550112,0.00003702298,0.00001330979,0.002829494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003952463,"threshold_uncertainty_score":0.007858932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391896204","doi":"10.1016/j.segan.2024.101324","title":"Distributed stochastic energy coordination for residential prosumers: Framework and implementation","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Distributed generation; Distributed computing; Environmental economics; Renewable energy; Economics; Engineering; Electrical engineering","authors":[{"name":"Juan A. Dominguez","is_ca":true},{"name":"Kodjo Agbossou","is_ca":true},{"name":"Nilson Henao","is_ca":true},{"name":"Shaival H. Nagarsheth","is_ca":true},{"name":"Javier Campillo","is_ca":false},{"name":"Luis Rueda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003263936773474752,"gpt":0.2212257957989235,"spread":0.2179618590254487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002532013,0.0006307184,0.001102417,0.0003218505,0.0007592327,0.001905686,0.002202682,0.001257779,0.003332389],"category_scores_gemma":[0.003729854,0.0003912122,0.0006016504,0.0005629318,0.001063224,0.001406659,0.001905914,0.001177468,0.0003731857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015616,"about_ca_system_score_gemma":0.002903765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006348519,"about_ca_topic_score_gemma":0.008171627,"domain_scores_codex":[0.9985316,0.0004945477,0.00006564717,0.0003036575,0.0004261154,0.0001784679],"domain_scores_gemma":[0.9987934,0.0005500781,0.0001174169,0.0001426377,0.000301606,0.00009484834],"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":[0.00005473805,0.00006806482,0.0003457681,0.00003256182,0.00002238635,0.00007087022,0.00005901505,0.8797044,0.0006816618,0.1037566,0.0009883798,0.01421551],"study_design_scores_gemma":[0.00001314958,0.00001506018,0.00003696187,0.0000027101,0.000004686943,0.000009983548,0.00001228802,0.9862953,0.0001920006,0.01287654,0.000537371,0.000003982543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01383847,0.00008005393,0.9793367,0.0003874164,0.00004945361,0.00008081303,0.0000600501,0.0003331941,0.005833899],"genre_scores_gemma":[0.8758638,0.0001289837,0.119867,0.00009653722,0.00005705253,0.0001841989,0.00007431302,0.00005257635,0.003675611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006348519,"threshold_uncertainty_score":0.01339078,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410971689","doi":"10.1016/j.segan.2025.101756","title":"Hesitant bipolar fuzzy set-based decision system for electric vehicle charging station location planning","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"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":"Center for Nonlinear Systems, Chennai Institute of Technology","keywords":"Electric vehicle; Charging station; Fuzzy logic; Set (abstract data type); Computer science; Engineering; Operations research; Artificial intelligence; Physics; Power (physics)","authors":[{"name":"Chakkarapani Sumathi Thilagasree","is_ca":false},{"name":"Thippan Jayakumar","is_ca":false},{"name":"L. Susana Ramya","is_ca":false},{"name":"Krishnan Suvitha","is_ca":false},{"name":"Dragan Pamučar","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"Joseph Varghese Kureethara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00301295849043275,"gpt":0.1986700426552307,"spread":0.1956570841647979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799451,0.000953484,0.002012006,0.0007830395,0.0007552447,0.002402683,0.001316464,0.00138271,0.00380977],"category_scores_gemma":[0.00219137,0.0005950006,0.0006987463,0.0009015013,0.0007143383,0.000954192,0.00107713,0.0009758515,0.0004517651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651205,"about_ca_system_score_gemma":0.001275651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009267671,"about_ca_topic_score_gemma":0.006760889,"domain_scores_codex":[0.9989696,0.0003663852,0.00007602947,0.0002049779,0.0002367244,0.0001463201],"domain_scores_gemma":[0.9990349,0.0005077043,0.0000983155,0.00002966478,0.0002596233,0.00006982153],"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":[0.0003005392,0.00009492413,0.0003252933,0.0001251365,0.00009259568,0.0001348341,0.00009305733,0.96156,0.001505051,0.007976802,0.001204962,0.02658687],"study_design_scores_gemma":[0.00001729539,0.00004181111,0.00005132383,0.000006950565,0.00001257555,0.000007481342,0.000008335802,0.9978797,0.0002069598,0.001612865,0.000148294,0.000006336859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0316653,0.0003766054,0.9596797,0.0002507778,0.0001539892,0.0001201325,0.0001617925,0.0003312939,0.007260506],"genre_scores_gemma":[0.9547383,0.0001823979,0.04174263,0.000120364,0.00005827543,0.0001776942,0.0001240214,0.00001868487,0.002837617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009267671,"threshold_uncertainty_score":0.01842743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415221198","doi":"10.1016/j.segan.2025.101999","title":"NeuraFlux: A scalable and adaptive framework for autonomous data-driven multi-agent power optimization","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Group for Research in Decision Analysis","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalability; Reinforcement learning; Modular design; Robustness (evolution); Software deployment; Modularity (biology); Electric power system; Smart grid; Key (lock)","authors":[{"name":"Ysaël Desage","is_ca":true},{"name":"François Bouffard","is_ca":true},{"name":"Benoît Boulet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01027366339065645,"gpt":0.2264447605741142,"spread":0.2161710971834577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008984014,0.0009133422,0.0006306827,0.0003125917,0.000378148,0.0008967411,0.001800456,0.000949128,0.00483325],"category_scores_gemma":[0.001783078,0.0004491368,0.0006632215,0.0002523618,0.000705726,0.0008771899,0.001548139,0.001681446,0.001139881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007847258,"about_ca_system_score_gemma":0.001666025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006623762,"about_ca_topic_score_gemma":0.01019058,"domain_scores_codex":[0.9997645,0.00006372081,0.00001303689,0.00004214762,0.00008223139,0.00003436375],"domain_scores_gemma":[0.9997036,0.0001361057,0.00003085266,0.00003659287,0.00005582413,0.000037107],"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":[0.00004272822,0.00002974749,0.0003310087,0.00006500411,0.00003178643,0.00005006505,0.00003089469,0.9526572,0.001188955,0.01340751,0.004233397,0.02793171],"study_design_scores_gemma":[0.00001197749,0.000007541794,0.00002079084,0.000003430491,0.000001676377,0.000005339433,0.000002018944,0.9957085,0.0001672734,0.002619757,0.001448967,0.000002698381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003851322,0.0001600315,0.9866996,0.0001695455,0.00006457912,0.0000735254,0.0001849627,0.004756497,0.004040087],"genre_scores_gemma":[0.3973947,0.0003783226,0.5927751,0.0003600755,0.0000736826,0.0007367042,0.000908776,0.001257642,0.006115054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006623762,"threshold_uncertainty_score":0.01616883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414415798","doi":"10.1016/j.segan.2025.101983","title":"A market-clearing mechanism based on hierarchical-spectral clustering with multiple similarity measures for flexibility spot markets","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières; Innovation and Economic Development Trois Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Flexibility (engineering); Cluster analysis; Scalability; Market clearing; Electricity; Clearing; Electric power system; Electricity market; Demand response","authors":[{"name":"Naren Mantilla","is_ca":true},{"name":"Juan Carlos Oviedo Cepeda","is_ca":true},{"name":"David Toquica","is_ca":true},{"name":"Kodjo Agbossou","is_ca":true},{"name":"Nilson Henao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005821031936481497,"gpt":0.1966521232167305,"spread":0.190831091280249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00235177,0.0005117428,0.00171807,0.001243215,0.001304717,0.001635695,0.00309738,0.001522214,0.003604617],"category_scores_gemma":[0.006215782,0.0004426369,0.0008962657,0.001694725,0.0009972963,0.00341126,0.00182798,0.000965084,0.0005969387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010948,"about_ca_system_score_gemma":0.001675633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002463958,"about_ca_topic_score_gemma":0.00273556,"domain_scores_codex":[0.998358,0.0005846482,0.0001180554,0.0003379869,0.0004051128,0.0001961554],"domain_scores_gemma":[0.9971762,0.00101746,0.0002639275,0.0005457905,0.0007830735,0.0002136044],"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":[0.0008155428,0.0007131039,0.001132678,0.0001802595,0.0002004196,0.0002051145,0.0002405436,0.5878313,0.01340544,0.1873311,0.008367788,0.1995767],"study_design_scores_gemma":[0.00002030225,0.00004123628,0.0001218685,0.00000221693,0.000008912478,0.00002444154,0.00001211093,0.9849258,0.0006371101,0.01385997,0.0003320309,0.00001398927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03553363,0.0001239348,0.9617775,0.0001336327,0.00005492222,0.000131351,0.00004871457,0.0004240826,0.001772224],"genre_scores_gemma":[0.8232343,0.0001016684,0.1734369,0.00009181248,0.0000880505,0.0001613686,0.0001642216,0.00008800383,0.002633747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003604617,"threshold_uncertainty_score":0.01243752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408819107","doi":"10.1016/j.segan.2025.101684","title":"An alternating direction method of multipliers approach for the reconfiguration of radial electrical distribution systems","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"National Radio Research Agency; Agence Nationale de la Recherche","keywords":"Control reconfiguration; Alternating current; Distribution (mathematics); Physics; Computer science; Electrical engineering; Engineering; Mathematics; Mathematical analysis; Voltage; Embedded system","authors":[{"name":"Yacine Mokhtari","is_ca":false},{"name":"Patrick Coirault","is_ca":false},{"name":"Emmanuel Moulay","is_ca":false},{"name":"Jérôme Le Ny","is_ca":true},{"name":"Didier Larraillet","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003768591276681766,"gpt":0.2267422274932514,"spread":0.2229736362165696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008160523,0.00111638,0.000709336,0.0004956725,0.0002912215,0.0006809125,0.0007829805,0.0008497568,0.005523002],"category_scores_gemma":[0.001844956,0.0004589834,0.000533002,0.0005739926,0.0005166541,0.0009185637,0.0007014347,0.001254559,0.0009969049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920681,"about_ca_system_score_gemma":0.0006024345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085707,"about_ca_topic_score_gemma":0.001693798,"domain_scores_codex":[0.9996992,0.0001883248,0.000009063362,0.00002904691,0.00005930934,0.00001504594],"domain_scores_gemma":[0.9994975,0.0003368845,0.00003285003,0.00002444795,0.00008794419,0.0000203006],"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":[0.0001279141,0.00008959888,0.0001750073,0.0002705048,0.00006265433,0.00008317768,0.0000879935,0.7398359,0.004335657,0.08204319,0.006604147,0.1662844],"study_design_scores_gemma":[0.000009224998,0.00002601138,0.00002296283,0.000008258571,0.000004292392,0.00001404708,0.000005288268,0.9895711,0.0002078203,0.008424776,0.001701506,0.00000473292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001335491,0.0001672697,0.9964605,0.00006397691,0.00005173908,0.00001764398,0.00001503369,0.00004655556,0.001841758],"genre_scores_gemma":[0.1313439,0.0008587037,0.8572822,0.0001285574,0.0001769278,0.0003500725,0.000126893,0.0002146319,0.009518155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005523002,"threshold_uncertainty_score":0.01847625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2589167537","doi":"10.1016/j.segan.2017.02.002","title":"Robust operating zones identification for energy storage day-ahead operation","year":2017,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"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":"Particle swarm optimization; Robust optimization; Energy storage; Computer science; Renewable energy; Mathematical optimization; Electric power system; Reliability engineering; AC power; Identification (biology); Power (physics); Voltage; Engineering; Electrical engineering; Algorithm; Mathematics","authors":[{"name":"Yasser Abdel‐Rady I. Mohamed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009277301810782809,"gpt":0.2131242520170273,"spread":0.2038469502062444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004997141,0.0007828907,0.0008480493,0.0003329015,0.0002530552,0.0007181143,0.0006135835,0.0004444354,0.001872987],"category_scores_gemma":[0.001754454,0.0003552193,0.000484886,0.0002643331,0.0003195851,0.0006253166,0.0005507872,0.0007742037,0.000313522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000422045,"about_ca_system_score_gemma":0.0006391981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00373528,"about_ca_topic_score_gemma":0.004134388,"domain_scores_codex":[0.9997439,0.00007534667,0.00001136398,0.00006004526,0.00007063289,0.00003872342],"domain_scores_gemma":[0.9995121,0.0003100089,0.00005923437,0.00003728636,0.00006708998,0.00001433606],"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":[0.0002222535,0.00003471126,0.0002308282,0.00006080205,0.00003813196,0.00002643627,0.00003516272,0.9464377,0.003470835,0.003203504,0.0006222174,0.04561743],"study_design_scores_gemma":[0.000003416662,0.00001335635,0.0000995781,0.000002138688,0.000003252565,0.000005171286,0.000003320384,0.9980573,0.000693911,0.001020204,0.00009572635,0.000002674021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02265006,0.0002020821,0.9748327,0.00006987275,0.00002718693,0.00002691577,0.00007288406,0.0003992695,0.00171904],"genre_scores_gemma":[0.9617692,0.00008591727,0.03648736,0.00002008401,0.00001687058,0.00004212157,0.00009450557,0.00004731698,0.001436543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00373528,"threshold_uncertainty_score":0.007427037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415535235","doi":"10.1016/j.segan.2025.102028","title":"Predictive risk-aware control for microgrids: Operation of a revenue-generating energy management system","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Agentúra na Podporu Výskumu a Vývoja; European Commission; St. Thomas University","keywords":"Microgrid; Model predictive control; Modular design; Energy management; Renewable energy; Software deployment; Software; Energy management system; Software architecture","authors":[{"name":"Tereza Ábelová","is_ca":false},{"name":"Marek Wadinger","is_ca":false},{"name":"Michal Kvasnica","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.001520787428968825,"gpt":0.167958716183471,"spread":0.1664379287545022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005320439,0.0005447598,0.0005847968,0.0002111788,0.0004933717,0.001042662,0.0007442374,0.0003818989,0.001796595],"category_scores_gemma":[0.0009072804,0.000199865,0.000241817,0.0002535757,0.0003192535,0.0006036006,0.0006615562,0.0007027753,0.0002239051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004765722,"about_ca_system_score_gemma":0.0008435803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006200408,"about_ca_topic_score_gemma":0.00600657,"domain_scores_codex":[0.9997579,0.00007312285,0.00001066489,0.00004776676,0.00006732282,0.00004319073],"domain_scores_gemma":[0.9996834,0.0001124335,0.00005324042,0.0000313668,0.00009268238,0.00002686805],"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":[0.0004667254,0.000201407,0.001584312,0.00006979919,0.00005418813,0.0002029304,0.0001299108,0.9301125,0.007688576,0.004309395,0.001761512,0.05341881],"study_design_scores_gemma":[0.00001257483,0.00005561367,0.0002715138,0.000002546378,0.000009294217,0.00001686958,0.00001183117,0.9976259,0.001068152,0.0007451612,0.0001754729,0.000005086568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5537837,0.0004180176,0.4243113,0.0009116666,0.0001435743,0.0001511575,0.0001722579,0.001835956,0.01827226],"genre_scores_gemma":[0.996292,0.00002057321,0.003002997,0.00001357211,0.000005986976,0.00000638348,0.00001204628,0.000007822993,0.0006387064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006200408,"threshold_uncertainty_score":0.01232862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407821405","doi":"10.1016/j.segan.2025.101664","title":"A fully adaptive distributionally robust multistage framework based on mixed decision rules for wind-thermal system operation under uncertainty","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":2,"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":"Guangxi Key Research and Development Program; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Mathematical optimization; Robust optimization; Thermal; Computer science; Decision rule; Operations research; Engineering; Mathematics; Meteorology; Artificial intelligence; Physics","authors":[{"name":"Ying Yang","is_ca":true},{"name":"Linfeng Yang","is_ca":true},{"name":"Xinwei Shen","is_ca":false},{"name":"Zhao Yang Dong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01780786509536742,"gpt":0.2877832225990316,"spread":0.2699753575036641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003840232,0.001278131,0.002213857,0.0005882201,0.0004880362,0.002428949,0.002275939,0.001959588,0.003141105],"category_scores_gemma":[0.006046734,0.001480395,0.001331564,0.0006384419,0.001294434,0.002035293,0.002037698,0.001961143,0.0003398128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211799,"about_ca_system_score_gemma":0.001773022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006752552,"about_ca_topic_score_gemma":0.005510184,"domain_scores_codex":[0.9982207,0.0008581969,0.0000792003,0.0002870625,0.0003607076,0.0001940838],"domain_scores_gemma":[0.9975236,0.001631667,0.0002259353,0.0001180828,0.0003844514,0.0001162652],"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":[0.00003492586,0.00001712846,0.000103361,0.00002194665,0.00003272656,0.00003179709,0.00001361574,0.9855547,0.0003058014,0.0107191,0.0001041976,0.003060672],"study_design_scores_gemma":[0.000003232155,0.000008888117,0.00002152409,0.000001729406,0.000004190133,0.000002140054,0.000001177368,0.9976436,0.00005040915,0.002213585,0.00004683765,0.000002697745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01294715,0.0001924292,0.9843783,0.0001450159,0.0000311179,0.000042536,0.00005776004,0.00008096957,0.002124726],"genre_scores_gemma":[0.8754909,0.0002880342,0.1180288,0.0001170276,0.00008019678,0.0002387985,0.0001563955,0.00008153408,0.005518437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006752552,"threshold_uncertainty_score":0.02030939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405365014","doi":"10.1016/j.segan.2024.101597","title":"Analysis of loop flow in electrical power systems with embedded HVDC using a modified Dijkstra algorithm","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Social Innovation","funders":"","keywords":"Dijkstra's algorithm; Power flow; Loop (graph theory); Power (physics); Algorithm; Flow (mathematics); Electric power system; Computer science; Control theory (sociology); Engineering; Mathematics; Theoretical computer science; Physics; Artificial intelligence; Control (management); Shortest path problem","authors":[{"name":"Gabriel F. Alvarenga","is_ca":false},{"name":"Antônio Carlos Zambroni de Souza","is_ca":false},{"name":"Glauco N. Taranto","is_ca":false},{"name":"Bala Venkatesh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004162605975257283,"gpt":0.1975735255892668,"spread":0.1934109196140095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000443195,0.0003827912,0.0005868705,0.0005269859,0.0003550635,0.0008006427,0.0006430669,0.0005695425,0.003056554],"category_scores_gemma":[0.001586715,0.0003343152,0.0003855415,0.000700811,0.0005327295,0.0007539335,0.0003139503,0.0004790175,0.0002200293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008519,"about_ca_system_score_gemma":0.001269249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02886542,"about_ca_topic_score_gemma":0.01717499,"domain_scores_codex":[0.9998653,0.00003940086,0.000004602419,0.00001875454,0.00004816696,0.00002374888],"domain_scores_gemma":[0.9994221,0.0003802797,0.00004116027,0.00002371776,0.0001174666,0.00001532435],"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":[0.00001504687,0.000009748058,0.0001198825,0.0000147719,0.000006051789,0.0000124286,0.00001276714,0.9910011,0.0003193126,0.002890067,0.0001254871,0.005473218],"study_design_scores_gemma":[0.000001477197,0.000002631255,0.00002548081,6.721666e-7,8.601061e-7,0.000001439959,0.000001714708,0.999477,0.00004380216,0.0003965659,0.00004774824,6.691433e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06677023,0.0003409827,0.9260988,0.0001245873,0.00003361408,0.00005402777,0.0000806323,0.0002955937,0.006201543],"genre_scores_gemma":[0.9302282,0.0001990153,0.06429826,0.00002667899,0.00001960602,0.00004371132,0.00009216994,0.0000944477,0.004997869],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02886542,"threshold_uncertainty_score":0.0573948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413271117","doi":"10.1016/j.segan.2025.101865","title":"Forecasting electricity prices with deep learning and dynamic sparse training","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electricity; Training (meteorology); Artificial intelligence; Economics; Computer science; Engineering; Meteorology; Electrical engineering; Geography","authors":[{"name":"Manuel Zamudio López","is_ca":true},{"name":"Yani Ioannou","is_ca":true},{"name":"Hamidreza Zareipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004315526837164558,"gpt":0.1845054410618434,"spread":0.1801899142246788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006598058,0.0006781113,0.0008618027,0.0005644487,0.0002797927,0.0007678538,0.0008944072,0.001021259,0.001657394],"category_scores_gemma":[0.004514878,0.000756842,0.0005137686,0.0009103167,0.0005134539,0.001587242,0.0006275313,0.002164735,0.0003620947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007977407,"about_ca_system_score_gemma":0.0008443358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753136,"about_ca_topic_score_gemma":0.02366844,"domain_scores_codex":[0.9997901,0.0000548399,0.00001354888,0.00005275612,0.00004832691,0.00004047009],"domain_scores_gemma":[0.9983189,0.001143816,0.0001232921,0.000131934,0.0002303973,0.00005164461],"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":[0.00008296357,0.00007463869,0.001089478,0.00002122704,0.00003528414,0.00002526805,0.00001187843,0.9476646,0.0004759376,0.003044665,0.001872684,0.04560151],"study_design_scores_gemma":[0.000001683609,0.000001602396,0.0000395842,5.581192e-7,7.735279e-7,7.488772e-7,5.987608e-7,0.9989228,0.00005174475,0.0009555026,0.00002376086,6.047151e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848218,0.001060524,0.805293,0.001651584,0.0003215447,0.00005278057,0.0008610216,0.001621831,0.004315946],"genre_scores_gemma":[0.9390244,0.000248148,0.05674107,0.0001650203,0.0001711732,0.00004291833,0.0009524337,0.00005556673,0.002599224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01753136,"threshold_uncertainty_score":0.03485864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411079194","doi":"10.1016/j.segan.2025.101768","title":"Detection and classification of concurrent attacks in substation automation systems using wavelet design and deep learning","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Wavelet; Artificial intelligence; Computer science; Deep learning; Learning design; Engineering; Systems engineering; Machine learning; Mathematics; Mechanical engineering","authors":[{"name":"Matthew Oinonen","is_ca":false},{"name":"Walid G. Morsi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007235092455798646,"gpt":0.2166141971591492,"spread":0.2093791047033506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008220291,0.001211839,0.0008232033,0.001419805,0.0002190394,0.000797992,0.0007778714,0.0008009753,0.0005736117],"category_scores_gemma":[0.00205966,0.0003361826,0.0009714817,0.0008658593,0.0004070186,0.00125444,0.0009220897,0.00156397,0.0003595158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605139,"about_ca_system_score_gemma":0.0004491403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616925,"about_ca_topic_score_gemma":0.00157217,"domain_scores_codex":[0.9994774,0.00009273532,0.00005308249,0.0001376813,0.0001648152,0.00007418267],"domain_scores_gemma":[0.9992478,0.0002814136,0.0001504804,0.0001084439,0.0001711971,0.00004062631],"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":[0.0004121736,0.0003961724,0.01524963,0.0002178253,0.0002105976,0.0003689567,0.000106522,0.386738,0.02892099,0.004738525,0.004500698,0.55814],"study_design_scores_gemma":[0.000004972014,0.00005255253,0.00115439,0.000007746466,0.0000127261,0.00003577075,0.00001564889,0.9927467,0.003579218,0.001904806,0.0004799853,0.00000545283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08244276,0.0005323848,0.9146101,0.0002543286,0.00007333967,0.00005473398,0.0002383902,0.0009277208,0.0008663677],"genre_scores_gemma":[0.7664104,0.0007422068,0.2286095,0.0001676473,0.00009877166,0.000111115,0.00165283,0.00009019777,0.002117405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001616925,"threshold_uncertainty_score":0.004347324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412657851","doi":"10.1016/j.segan.2025.101814","title":"Modeling and optimal operation of sustainable thermoelectric microgrids with phase-change material thermal system","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermoelectric effect; Phase change; Thermal; Phase (matter); Phase-change material; Materials science; Engineering physics; Mechanical engineering; Engineering; Physics; Thermodynamics","authors":[{"name":"Pablo Verdugo","is_ca":true},{"name":"Claudio A. Cañizares","is_ca":true},{"name":"Mehrdad Pirnia","is_ca":true},{"name":"Thomas Leibfried","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002356203042572378,"gpt":0.1699455767488051,"spread":0.1675893737062328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614487,0.0007099508,0.000701026,0.0002876892,0.0003570787,0.0009209847,0.0006351419,0.0006424687,0.001429258],"category_scores_gemma":[0.0004195393,0.0004140469,0.0005722961,0.0003671226,0.0004869774,0.0006086918,0.0005689564,0.0004766856,0.0002178583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006022927,"about_ca_system_score_gemma":0.0009310783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008813308,"about_ca_topic_score_gemma":0.006255738,"domain_scores_codex":[0.9998562,0.0000490494,0.000006343805,0.00002768541,0.00003769739,0.0000230795],"domain_scores_gemma":[0.999913,0.00003432415,0.0000183563,0.000007816074,0.00001950238,0.000007003986],"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":[0.00001155788,0.000005971851,0.0001123279,0.00001486085,0.000006323372,0.00002264923,0.000009018137,0.9968448,0.0005144171,0.001355654,0.00007419571,0.001028263],"study_design_scores_gemma":[0.000002831687,0.000007844694,0.00005445468,0.000001393731,0.000002400232,0.000003054559,0.00000461881,0.9992396,0.00009498488,0.0004501475,0.0001374645,0.000001323386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1746736,0.0008288934,0.7872878,0.0004648975,0.00009571085,0.0001449916,0.0004002588,0.0004895268,0.03561425],"genre_scores_gemma":[0.9856565,0.0003609595,0.009694806,0.00002452886,0.00001539262,0.0001212637,0.0000899149,0.00002761126,0.004008949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008813308,"threshold_uncertainty_score":0.01752406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417259818","doi":"10.1016/j.segan.2025.102102","title":"A novel time-varying control method of renewable energy sources for smart grid efficiency enhancement","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Agriculture","funders":"Science and Technology Project of State Grid; State Grid Hubei Electric Power Co","keywords":"Smart grid; Renewable energy; Voltage droop; Linearization; Photovoltaic system; Convergence (economics); Demand response; Optimization problem; Optimal control; Electric power system","authors":[{"name":"Xiaotong Ji","is_ca":false},{"name":"Dan Liu","is_ca":true},{"name":"Chang Ye","is_ca":true},{"name":"Ji Han","is_ca":false},{"name":"Jiaming Guo","is_ca":false},{"name":"Bocheng Long","is_ca":false},{"name":"Yang Ao","is_ca":true},{"name":"Liangli Xiong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002376540494764484,"gpt":0.1915862183366508,"spread":0.1892096778418864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800021,0.0003816603,0.0003641074,0.0001986326,0.0002789526,0.0004798686,0.0005857414,0.0003610873,0.002353713],"category_scores_gemma":[0.0003571642,0.0001149447,0.0002930508,0.0002894544,0.0001992988,0.0003809867,0.0002405323,0.0003629234,0.0002324289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062146,"about_ca_system_score_gemma":0.0002189526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230108,"about_ca_topic_score_gemma":0.002183076,"domain_scores_codex":[0.9998683,0.0000252058,0.00000871651,0.00003959527,0.00004731608,0.00001091556],"domain_scores_gemma":[0.9999034,0.00002770288,0.00001578496,0.00001028182,0.00003672851,0.00000613871],"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":[0.0004936226,0.00029561,0.0004310903,0.0004542811,0.0001048871,0.0002209004,0.0001760814,0.235714,0.1622333,0.03000759,0.004446294,0.5654222],"study_design_scores_gemma":[0.00002226788,0.0001335789,0.0002033157,0.000006905351,0.00001788415,0.0000554407,0.000007524164,0.9908763,0.005298859,0.000864661,0.002502619,0.00001065431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02146305,0.0005653224,0.9693108,0.000123707,0.0002851292,0.00004791201,0.0000219694,0.000288409,0.007893693],"genre_scores_gemma":[0.8786585,0.0004084607,0.1134527,0.0001432912,0.0001465402,0.00007731198,0.00004347352,0.00004678684,0.007023002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002353713,"threshold_uncertainty_score":0.007874012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412448367","doi":"10.1016/j.segan.2025.101794","title":"Personalized poison attack tolerant federated learning for residential load forecasting","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"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":"Computer security; Computer science; Engineering","authors":[{"name":"Majid Mostafanezhad","is_ca":false},{"name":"Mohammad Mohammadi","is_ca":false},{"name":"Dariush Keihan Asl","is_ca":false},{"name":"Hadis Karimipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00903893137782898,"gpt":0.2202692940660539,"spread":0.2112303626882249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623022,0.0006334163,0.001200701,0.000655717,0.0005805538,0.0008719816,0.001249528,0.001027632,0.001408839],"category_scores_gemma":[0.004384751,0.0002257379,0.0004467695,0.0006050345,0.0005091339,0.001712161,0.001360766,0.001240249,0.0003686982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008166743,"about_ca_system_score_gemma":0.0008909132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692129,"about_ca_topic_score_gemma":0.002936148,"domain_scores_codex":[0.9993292,0.0001749388,0.00003332541,0.0001720439,0.0001603127,0.000130189],"domain_scores_gemma":[0.9982187,0.0007948594,0.0001346994,0.0004206177,0.0003237255,0.0001074612],"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":[0.001164269,0.0005367525,0.00417453,0.00005142009,0.0001077235,0.0001454589,0.00008725698,0.7260905,0.002886269,0.005759536,0.005816017,0.2531803],"study_design_scores_gemma":[0.000007824153,0.00003793943,0.0001512,0.000001612405,0.00000583517,0.00002038643,0.000008442114,0.9962231,0.0005927189,0.002784615,0.0001638667,0.00000241582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460227,0.0005814003,0.8456544,0.0006505661,0.000263289,0.00009554685,0.0002910375,0.003596971,0.002844114],"genre_scores_gemma":[0.9723684,0.00007314804,0.02545369,0.0001551629,0.00005333669,0.00002634231,0.0001742198,0.00002900566,0.001666688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002692129,"threshold_uncertainty_score":0.008583426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413210078","doi":"10.1016/j.segan.2025.101904","title":"A distributionally robust optimization strategy for virtual bidding in two-settlement electricity markets","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"Mitacs; Hydro-Québec","keywords":"Bidding; Settlement (finance); Robust optimization; Electricity; Economics; Microeconomics; Industrial organization; Business; Computer science; Operations research; Mathematical optimization; Engineering; Electrical engineering; Mathematics; Finance","authors":[{"name":"Xavier Audet","is_ca":true},{"name":"Kliti Qako","is_ca":true},{"name":"Antoine Lesage‐Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004654667273753046,"gpt":0.2103537379152231,"spread":0.20569907064147,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00244051,0.0009957223,0.001522308,0.0004074612,0.0004781614,0.001540684,0.001594248,0.001354852,0.004448658],"category_scores_gemma":[0.005474602,0.0005819771,0.0005988557,0.0004674824,0.001002188,0.001534889,0.001772254,0.001205166,0.0005281767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008482129,"about_ca_system_score_gemma":0.001022541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784825,"about_ca_topic_score_gemma":0.001462783,"domain_scores_codex":[0.9990459,0.0004927845,0.00004085267,0.0001177878,0.0001778083,0.0001248057],"domain_scores_gemma":[0.9984137,0.0009715145,0.0001258558,0.0001059359,0.0002779092,0.0001050774],"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":[0.0001609859,0.00006125869,0.0001190983,0.00004588304,0.00003219326,0.00006588948,0.0000300245,0.9506709,0.001371538,0.02810751,0.001303722,0.01803098],"study_design_scores_gemma":[0.000008732215,0.00002225019,0.00001871414,0.000001680271,0.000002485657,0.00000741947,0.000003803492,0.9952899,0.0001005665,0.004448563,0.0000929352,0.000002949508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01980734,0.00009639288,0.9727278,0.0003369241,0.00005364427,0.00005748131,0.00004071951,0.0001610525,0.006718747],"genre_scores_gemma":[0.9371741,0.00007776621,0.05789291,0.0001223523,0.0000425862,0.00009035555,0.0000574073,0.00009364324,0.004448864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004448658,"threshold_uncertainty_score":0.01488221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414104855","doi":"10.1016/j.segan.2025.101958","title":"A new multi-objective multi-energy optimization model in the urban-industrial symbiosis network using LARG supply chain approach","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Industrial symbiosis; Agile software development; Energy supply; Supply chain; Renewable energy; Optimization problem; Key (lock); Energy management; Resource (disambiguation)","authors":[{"name":"Milad Namayan Marghoob","is_ca":false},{"name":"Amir Mohammad Fakoor Saghih","is_ca":true},{"name":"Hamid Afshari","is_ca":true},{"name":"Morteza Pakdaman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01451880926020091,"gpt":0.2149283240669436,"spread":0.2004095148067427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017537,0.001057897,0.001376691,0.000770357,0.0008420704,0.00227031,0.001879724,0.002380822,0.005318266],"category_scores_gemma":[0.001280391,0.0007140825,0.001046984,0.001392479,0.000761006,0.001694915,0.001755233,0.001261401,0.0003866999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296182,"about_ca_system_score_gemma":0.001667468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396589,"about_ca_topic_score_gemma":0.01075205,"domain_scores_codex":[0.9995019,0.000211391,0.00001903755,0.00009376385,0.00008836391,0.00008545295],"domain_scores_gemma":[0.9996068,0.0001912223,0.00005511199,0.000014169,0.00008386914,0.00004886854],"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":[0.00001172822,0.00001298088,0.0001431795,0.00001865204,0.00001499108,0.00004059848,0.00001003992,0.9946882,0.000123017,0.003242976,0.0001540503,0.00153971],"study_design_scores_gemma":[0.000003667535,0.00000798068,0.00002925761,0.000002465234,0.000004161834,0.000003267854,0.000006125557,0.9990215,0.00002024587,0.0007526678,0.0001467908,0.000001972712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06005177,0.000795343,0.9130545,0.0007609487,0.000188241,0.0001342738,0.0002819197,0.0001776508,0.02455539],"genre_scores_gemma":[0.9192338,0.0006257236,0.0598111,0.0001561057,0.00006068611,0.0003345948,0.0002460175,0.00006778805,0.01946411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01396589,"threshold_uncertainty_score":0.02776915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7082986531","doi":"10.1016/j.segan.2025.101968","title":"Framework for enhancing fairness and security in active distribution networks via transactive control signals","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Transactive memory; Control (management); Distribution (mathematics); Security controls; Access control","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.002935278791104611,"gpt":0.2112841629525931,"spread":0.2083488841614885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004391456,0.0010475,0.001074969,0.0007544696,0.001179494,0.003643284,0.003167478,0.001675071,0.006283476],"category_scores_gemma":[0.006220602,0.000411614,0.0009212396,0.0008070986,0.002552035,0.00278673,0.002964956,0.003024388,0.000750966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022826,"about_ca_system_score_gemma":0.003069497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630789,"about_ca_topic_score_gemma":0.003707945,"domain_scores_codex":[0.9974424,0.0008686974,0.00009364224,0.0004555885,0.0007970308,0.0003426518],"domain_scores_gemma":[0.9967335,0.001614948,0.0002015795,0.0004871318,0.0006958954,0.0002668687],"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":[0.0001188079,0.0001318003,0.0001907078,0.00007173516,0.00003701491,0.0001240694,0.0001665929,0.2069216,0.003059949,0.7604753,0.001870749,0.02683166],"study_design_scores_gemma":[0.00003571021,0.00005381189,0.00003229996,0.00001548493,0.00002119597,0.00003251147,0.00002971897,0.8278063,0.0008890453,0.1680222,0.003046156,0.00001558734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002457573,0.00006928934,0.9929541,0.0002326852,0.00008026192,0.00004225502,0.00001924283,0.0001158452,0.004028682],"genre_scores_gemma":[0.6923011,0.0003594428,0.2937382,0.0004014926,0.000325341,0.0003184243,0.00005845067,0.0001118427,0.01238571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006283476,"threshold_uncertainty_score":0.02322453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417067313","doi":"10.1016/j.segan.2025.102080","title":"Unified peer-to-peer energy and frequency response reserve trading in isolated multi-microgrid systems","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"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":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Microgrid; Renewable energy; Electric power system; Automatic frequency control; Inertia; Demand response; Function (biology); Mode (computer interface); Energy (signal processing)","authors":[{"name":"Yun Liu","is_ca":false},{"name":"Ziyu Chen","is_ca":false},{"name":"Jizhong Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004058999091734372,"gpt":0.1979776849603223,"spread":0.1939186858685879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146432,0.0006432965,0.001733879,0.000330199,0.001036872,0.001699544,0.002159492,0.0009691272,0.003465086],"category_scores_gemma":[0.002661053,0.0003814131,0.0003696083,0.0005310341,0.0007433844,0.001801404,0.001445518,0.0006416998,0.0005360561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005208491,"about_ca_system_score_gemma":0.0007767832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00215383,"about_ca_topic_score_gemma":0.003734455,"domain_scores_codex":[0.9992697,0.0002245836,0.00004822507,0.0001782199,0.0001513198,0.00012803],"domain_scores_gemma":[0.9987802,0.0005470373,0.0001191518,0.0001590139,0.000309308,0.0000852443],"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":[0.0007364523,0.0002451164,0.000781498,0.0002676012,0.0001272182,0.000576981,0.000295061,0.8742471,0.009741765,0.01824703,0.003954865,0.09077936],"study_design_scores_gemma":[0.00001792124,0.00007413266,0.000155941,0.000004018163,0.00001520266,0.00004992129,0.00004364007,0.9928093,0.0008012144,0.005658161,0.0003620358,0.000008585972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2553783,0.001185657,0.723033,0.0004860238,0.0002649821,0.0002862947,0.0001849052,0.001168114,0.01801275],"genre_scores_gemma":[0.991398,0.00005762546,0.007362319,0.0000234868,0.00003012155,0.00002843511,0.0000237454,0.00002169427,0.001054704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003465086,"threshold_uncertainty_score":0.01159185,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407132732","doi":"10.1016/j.segan.2025.101631","title":"New tight expression of network radiality constraints using constant commodity flow equipped with the parent–child supply chain","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Huawei Technologies (Canada)","funders":"Huawei Technologies","keywords":"Supply chain; Constant (computer programming); Commodity; Flow (mathematics); Expression (computer science); Chain (unit); Supply chain network; Industrial organization; Economics; Computer science; Business; Supply chain management; Physics; Market economy; Mechanics; Marketing","authors":[{"name":"Ali Alizadeh","is_ca":true},{"name":"Moein Esfahani","is_ca":true},{"name":"Bo Cao","is_ca":true},{"name":"Innocent Kamwa","is_ca":true},{"name":"Minghui Xu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007462768889257108,"gpt":0.2220967858556142,"spread":0.2146340169663571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008714225,0.001212651,0.0006165683,0.0006572423,0.0004629037,0.001695506,0.001201925,0.0009441998,0.004671135],"category_scores_gemma":[0.002074357,0.0005719785,0.0006976886,0.001117129,0.0008606723,0.001785477,0.001290411,0.001610085,0.0004750222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132627,"about_ca_system_score_gemma":0.001949354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006638921,"about_ca_topic_score_gemma":0.006630655,"domain_scores_codex":[0.9995279,0.0001488247,0.00001599118,0.00009725504,0.000135211,0.00007479758],"domain_scores_gemma":[0.9994715,0.0002515725,0.00009487165,0.0000456847,0.00009858526,0.00003784351],"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":[0.00002286315,0.00001926939,0.0002325211,0.00005430939,0.000007578467,0.00008228048,0.00002652782,0.9540173,0.001236889,0.03531249,0.0008879718,0.008100106],"study_design_scores_gemma":[0.000003565857,0.0000149733,0.00003371457,0.000007172355,0.000002981835,0.00001530378,0.000007071071,0.9927086,0.0003191394,0.005696287,0.001186765,0.000004373011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01083954,0.0001838256,0.9805363,0.0001716607,0.00004630563,0.0000511085,0.0001515044,0.0001522482,0.00786754],"genre_scores_gemma":[0.6812216,0.0009269654,0.306403,0.0001777049,0.00007350883,0.0003411904,0.0005125281,0.0002234903,0.01012006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006638921,"threshold_uncertainty_score":0.01562649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416866340","doi":"10.1016/j.segan.2025.102073","title":"JuliaGrid: An open-source julia-based framework for power system state estimation","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Observability; Electric power system; Phasor; State (computer science); Task (project management); Reuse; Power (physics); Units of measurement; Power flow","authors":[{"name":"Mirsad Ćosović","is_ca":true},{"name":"Ognjen Kundačina","is_ca":true},{"name":"Muhamed Delalic","is_ca":false},{"name":"Armin Teskeredžić","is_ca":false},{"name":"Darijo Raca","is_ca":false},{"name":"Amer Mešanović","is_ca":false},{"name":"Dragiša Mišković","is_ca":true},{"name":"Dejan Vukobratović","is_ca":false},{"name":"Antonello Monti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004083118291788429,"gpt":0.2261638048420717,"spread":0.2220806865502833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113658,0.00184078,0.001309344,0.001296393,0.0005714987,0.002413773,0.00286558,0.001329489,0.02635089],"category_scores_gemma":[0.00662113,0.001084828,0.00182317,0.001165907,0.0005042639,0.001979467,0.002086704,0.002487322,0.01159257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008047881,"about_ca_system_score_gemma":0.001874909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0114055,"about_ca_topic_score_gemma":0.01983449,"domain_scores_codex":[0.999346,0.0001748349,0.00004849681,0.0001218795,0.000225097,0.00008381056],"domain_scores_gemma":[0.9987104,0.0005107743,0.0001031671,0.0002922203,0.0002935927,0.00008982672],"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":[0.0006866577,0.0002629369,0.00353889,0.001147057,0.0006322802,0.0004643242,0.0003501063,0.5657073,0.004977715,0.05408369,0.1789106,0.1892385],"study_design_scores_gemma":[0.00008685485,0.00001726155,0.0002652555,0.00003939792,0.00002575574,0.00005305085,0.00001954062,0.9498799,0.001899031,0.01572191,0.0319547,0.0000372133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002585941,0.0002626072,0.8535104,0.0001868142,0.0001731603,0.0001184425,0.005484091,0.1308846,0.006794],"genre_scores_gemma":[0.1982099,0.0009657556,0.7201704,0.0005307132,0.0001999941,0.0007396303,0.03226274,0.03365878,0.01326213],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02635089,"threshold_uncertainty_score":0.08815247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414694237","doi":"10.1016/j.segan.2025.101994","title":"A multi-faceted strategy for scalable, efficient, and grid-integrated electric vehicle systems using solid-state batteries and AI technologies","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Battery (electricity); Scalability; Electric vehicle; Smart grid; Modular design; Renewable energy; Grid; Tariff; Energy management","authors":[{"name":"S Poorani","is_ca":false},{"name":"P. Josephin Shermila","is_ca":true},{"name":"R Niruban","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008920379245348942,"gpt":0.2596851128205721,"spread":0.2507647335752231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001945867,0.0004554542,0.0004547269,0.0003965009,0.0006649677,0.001212032,0.0008858767,0.0004395116,0.004460522],"category_scores_gemma":[0.0002984904,0.0001645334,0.0003272222,0.0004951599,0.0003305341,0.001212028,0.00174051,0.000536719,0.001356172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915838,"about_ca_system_score_gemma":0.0008782307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693762,"about_ca_topic_score_gemma":0.003746531,"domain_scores_codex":[0.9998239,0.0000179049,0.000009161184,0.00003484511,0.00006712422,0.0000471659],"domain_scores_gemma":[0.9998373,0.00001963969,0.00001437405,0.00003068842,0.00007184791,0.00002609958],"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":[0.0002924233,0.0003528173,0.00237821,0.0003464707,0.0001151881,0.0006742218,0.0002867465,0.1896991,0.418827,0.08724514,0.007959411,0.2918234],"study_design_scores_gemma":[0.00001791315,0.0002735936,0.0007569381,0.00003073604,0.00003786916,0.0002356799,0.0003469443,0.8730245,0.07259338,0.03228427,0.02035943,0.00003878221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071378,0.0007256816,0.8330272,0.000609188,0.0001727412,0.0002157611,0.0002206979,0.001414682,0.05647628],"genre_scores_gemma":[0.8694431,0.000344495,0.1182689,0.000134967,0.00002636429,0.0001201087,0.0002201872,0.00006104229,0.01138082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004460522,"threshold_uncertainty_score":0.0149219,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415450458","doi":"10.1016/j.segan.2025.102027","title":"Consequence-driven optimization for detection and localization of stealth false data injection attacks against state estimation in power distribution systems","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Iran National Science Foundation","keywords":"State (computer science); Power (physics); Distribution (mathematics); Estimation; Control theory (sociology); Optimization problem","authors":[{"name":"Mohammad Reza Dehbozorgi","is_ca":false},{"name":"Mohammadreza F. M. Arani","is_ca":true},{"name":"Mohammad Rastegar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005038440362888018,"gpt":0.2211891212740918,"spread":0.2161506809112038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002179879,0.001170392,0.0009544303,0.0004770435,0.0002651795,0.0008539199,0.0007065776,0.0008661609,0.001067998],"category_scores_gemma":[0.006466108,0.0005685542,0.000543961,0.0003065249,0.001023943,0.0008738504,0.0009413205,0.001316165,0.0001156036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096229,"about_ca_system_score_gemma":0.001357911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006300282,"about_ca_topic_score_gemma":0.003604132,"domain_scores_codex":[0.9992852,0.0002793454,0.00003953242,0.0001310388,0.0001692639,0.00009570975],"domain_scores_gemma":[0.9967275,0.002308871,0.0002958338,0.0001140058,0.0004662136,0.00008753292],"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":[0.00004437301,0.00001652207,0.0005524191,0.00002473223,0.00001923448,0.00002344427,0.00001118962,0.990493,0.0005200991,0.001049116,0.0001371257,0.007108706],"study_design_scores_gemma":[0.000002641176,0.00001357319,0.0001052414,0.00000196637,0.000002621022,0.000003714195,0.000001709247,0.9992533,0.0001589896,0.0004326494,0.00002189682,0.000001565915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0627579,0.0002247735,0.9348213,0.0003182561,0.00002569354,0.00005914574,0.00004925146,0.0003657684,0.001377821],"genre_scores_gemma":[0.9568033,0.0001023152,0.04185632,0.0001066265,0.00002131458,0.00007522836,0.00008738134,0.00005518025,0.0008923583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006300282,"threshold_uncertainty_score":0.01252723,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}