{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":45,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":45,"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":"14d788954bde","filters":{"venue":"2020 IEEE Electric Power and Energy Conference (EPEC)"}},"results":[{"id":"W3126866643","doi":"10.1109/epec48502.2020.9319916","title":"Ensemble Learning for Charging Load Forecasting of Electric Vehicle Charging Stations","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial neural network; Dependency (UML); Ensemble learning; Electric power system; Electric vehicle; Term (time); Recurrent neural network; Artificial intelligence; Machine learning; Power (physics)","authors":[{"name":"Xingshuai Huang","is_ca":true},{"name":"Di Wu","is_ca":true},{"name":"Benoît Boulet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01382277137979625,"gpt":0.201203567251525,"spread":0.1873807958717287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279933,0.0008529953,0.001058775,0.001337803,0.000332635,0.0005972796,0.0009529432,0.0006485785,0.000657513],"category_scores_gemma":[0.002708633,0.000272091,0.0006957402,0.001505902,0.0001236811,0.001260717,0.0005064486,0.00111141,0.0003564437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396216,"about_ca_system_score_gemma":0.0004801501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008958167,"about_ca_topic_score_gemma":0.01021384,"domain_scores_codex":[0.9995983,0.00009079121,0.00003151067,0.0001177611,0.0001005426,0.00006113545],"domain_scores_gemma":[0.999143,0.000319286,0.0000729938,0.0001390949,0.000291171,0.00003432386],"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":[0.0001916323,0.0001920672,0.0121013,0.0000379146,0.0001617345,0.00008172076,0.00005580711,0.6999254,0.001740985,0.0007528652,0.003687742,0.2810709],"study_design_scores_gemma":[0.000001688544,0.00001062649,0.0007087233,0.000001945192,0.000007780485,0.000005727332,0.000006103525,0.9983909,0.0003505223,0.0003191126,0.0001936986,0.000003114143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4133679,0.002037382,0.5750201,0.0005286928,0.000267307,0.00007996871,0.001643063,0.002678765,0.004376875],"genre_scores_gemma":[0.9546821,0.0004654987,0.04080796,0.00006012663,0.00009341814,0.0000466477,0.002338632,0.0000421718,0.001463393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008958167,"threshold_uncertainty_score":0.01781201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129123246","doi":"10.1109/epec48502.2020.9320109","title":"A Novel Smart Gas Stove with Gas Leakage Detection and Multistage Prevention System Using IoT LoRa Technology","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Buzzer; Internet of Things; Stove; Embedded system; Default gateway; Wireless; Computer network; Liquefied petroleum gas; Computer science; Cloud computing; Leakage (economics); Engineering; Real-time computing; Electrical engineering; Telecommunications; Operating system; ALARM; Waste management","authors":[{"name":"Md. Rakibul Islam","is_ca":false},{"name":"Abdul Matin","is_ca":false},{"name":"Md. Saifullah Siddiquee","is_ca":false},{"name":"Fahim Md. Sifnatul Hasnain","is_ca":true},{"name":"Md. Habibur Rahman","is_ca":true},{"name":"Tonmoy Hasan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01157548404086841,"gpt":0.1897800291423051,"spread":0.1782045451014367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003314517,0.0005043429,0.0008729272,0.0006127137,0.0005209802,0.000790986,0.001464427,0.0007078619,0.003417745],"category_scores_gemma":[0.0002522372,0.0003506303,0.0004927783,0.0004271253,0.0002250189,0.001230763,0.0009801128,0.0003951804,0.001887684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659046,"about_ca_system_score_gemma":0.0003877738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004653545,"about_ca_topic_score_gemma":0.0007322071,"domain_scores_codex":[0.9995587,0.00007457922,0.0000375525,0.0001158258,0.0001577244,0.00005559361],"domain_scores_gemma":[0.9997645,0.00002864094,0.00003333408,0.00004299186,0.00009555407,0.00003495574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001378764,0.001026154,0.01680765,0.001019408,0.0002167594,0.00221827,0.0006525697,0.007054773,0.4730501,0.006034279,0.02205184,0.4684894],"study_design_scores_gemma":[0.0004255675,0.003897167,0.01979525,0.000267562,0.0005233581,0.008018436,0.0005211249,0.374306,0.4542847,0.003755507,0.133782,0.0004233393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2306623,0.001310535,0.716347,0.001022208,0.0005989099,0.0006586175,0.0004705197,0.02172191,0.02720802],"genre_scores_gemma":[0.8774425,0.0004543837,0.09616628,0.0007733184,0.0001309227,0.0003075388,0.0003767876,0.0001328142,0.02421551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003417745,"threshold_uncertainty_score":0.01143354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128219721","doi":"10.1109/epec48502.2020.9320042","title":"A Review of Recent Advances on Reinforcement Learning for Smart Home Energy Management","year":2020,"lang":"en","type":"review","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Reinforcement learning; Home automation; Computer science; Smart grid; Energy management; Control (management); Risk analysis (engineering); Energy (signal processing); Artificial intelligence; Engineering; Telecommunications; Electrical engineering; Business","authors":[{"name":"Huiliang Zhang","is_ca":true},{"name":"Di Wu","is_ca":true},{"name":"Benoît Boulet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01908307444830561,"gpt":0.2502024741589127,"spread":0.2311193997106071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467538,0.001091286,0.001145111,0.001949818,0.0002405786,0.0009824894,0.000865106,0.001053947,0.005259555],"category_scores_gemma":[0.001731708,0.0004364702,0.0006761914,0.00326428,0.0003407071,0.001621523,0.0005993873,0.001363079,0.002721365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005229281,"about_ca_system_score_gemma":0.0009562679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305997,"about_ca_topic_score_gemma":0.001295804,"domain_scores_codex":[0.9996905,0.00004814816,0.00004566783,0.0000690948,0.0001223394,0.0000241671],"domain_scores_gemma":[0.9990219,0.0006186392,0.00008548819,0.00002932984,0.0002038599,0.00004080083],"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":[0.00005242166,0.00009543531,0.0002642031,0.01481885,0.00007664158,0.0001132392,0.0000668047,0.002880335,0.001106373,0.00778917,0.02737105,0.9453655],"study_design_scores_gemma":[0.00001886792,0.000197309,0.0009396844,0.004904596,0.000187337,0.0006568815,0.00008138105,0.00228762,0.0008146919,0.006140812,0.9837198,0.00005098751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003052827,0.9924209,0.003129648,0.0003848998,0.0004428871,0.00001173247,0.00003363666,0.00004152155,0.003229561],"genre_scores_gemma":[0.002786605,0.9927272,0.002310588,0.0002680555,0.000559937,0.00001530975,0.00007578624,0.00001012016,0.001246438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005259555,"threshold_uncertainty_score":0.01759493,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128930292","doi":"10.1109/epec48502.2020.9319927","title":"Combining Volt/Var & Volt/Watt modes to increase PV hosting capacity in LV distribution networks","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Volt; Overvoltage; Voltage; Electrical engineering; Watt; Limit (mathematics); Power (physics); AC power; Engineering; Physics; Mathematics","authors":[{"name":"Muhammad Mahbubur Rashid","is_ca":true},{"name":"Andrew M. Knight","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01897196049621751,"gpt":0.1958127285922576,"spread":0.1768407680960401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000399012,0.0004385677,0.0004204589,0.0005540646,0.0001576051,0.0005569376,0.0004696551,0.000264947,0.001134086],"category_scores_gemma":[0.000951595,0.0001590688,0.0001969244,0.0003403533,0.0002492437,0.0004297981,0.0003376332,0.0003271832,0.000153679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208515,"about_ca_system_score_gemma":0.0001484017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006708106,"about_ca_topic_score_gemma":0.001213129,"domain_scores_codex":[0.999752,0.00006749863,0.00001770287,0.00005175013,0.00007047938,0.00004052408],"domain_scores_gemma":[0.9993943,0.0002798538,0.0001116546,0.00008815089,0.00007659457,0.00004949837],"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":[0.001066448,0.0006503057,0.0100186,0.0002417615,0.0001297055,0.0003103521,0.0001930313,0.4345182,0.2051523,0.00130168,0.001046436,0.3453712],"study_design_scores_gemma":[0.0001793721,0.002274195,0.01404731,0.00007324317,0.0001299978,0.0004316814,0.000104996,0.8482368,0.1305422,0.001511832,0.002411193,0.00005723681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8249787,0.0003830133,0.1678899,0.0001725471,0.0000437312,0.00007023082,0.00006137014,0.001927169,0.004473308],"genre_scores_gemma":[0.9913216,0.00003679851,0.0083295,0.00002107121,0.000007534139,0.0000124575,0.0000125044,0.00002349866,0.0002350205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001134086,"threshold_uncertainty_score":0.003793955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127099629","doi":"10.1109/epec48502.2020.9320116","title":"Review of Studies and Operational Experiences of PV Hosting Capacity Improvement by Smart Inverters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Photovoltaic system; Inverter; Overvoltage; Smart grid; Grid; Computer science; Electrical engineering; Grid-connected photovoltaic power system; Power (physics); Reliability engineering; Maximum power point tracking; Engineering; Voltage","authors":[{"name":"Rajiv K. Varma","is_ca":true},{"name":"Vatandeep Singh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01866022410399194,"gpt":0.218937580998993,"spread":0.2002773568950011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196536,0.0005339228,0.0008427817,0.003205421,0.0002412392,0.001341683,0.0008025263,0.0007037829,0.002662676],"category_scores_gemma":[0.003052204,0.0003627552,0.0005489686,0.006150246,0.0003877362,0.001734119,0.000424897,0.0005278506,0.0006987785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007803236,"about_ca_system_score_gemma":0.001555608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090046,"about_ca_topic_score_gemma":0.002301379,"domain_scores_codex":[0.999196,0.0001698799,0.0001390664,0.0001450089,0.0003038641,0.00004609098],"domain_scores_gemma":[0.9962718,0.002284883,0.0004456161,0.0000878909,0.000828495,0.00008122047],"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":[0.0001412132,0.00009308831,0.001589922,0.05305804,0.0001672339,0.0002423337,0.0004730361,0.002130849,0.002425764,0.00488424,0.01595742,0.9188369],"study_design_scores_gemma":[0.00002115586,0.0004402385,0.009655533,0.02656764,0.0005140873,0.001665638,0.001122809,0.0008027522,0.003000893,0.001778838,0.9543641,0.00006627046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002676084,0.98905,0.001146758,0.0003726471,0.0001593717,0.00001717934,0.0001101586,0.00002106554,0.006446762],"genre_scores_gemma":[0.01322992,0.9847308,0.0008964557,0.0001841446,0.000152797,0.00001217524,0.0001044211,0.000009228338,0.0006800093],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003205421,"threshold_uncertainty_score":0.008907557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129048471","doi":"10.1109/epec48502.2020.9320048","title":"Electrochemical Optimization Model for Parameters Identification of PEM Electrolyzer","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Cathode; Polymer electrolyte membrane electrolysis; Anode; Mean squared error; Proton exchange membrane fuel cell; MATLAB; Computer science; Electrolysis; Chemistry; Materials science; Mathematics; Engineering; Statistics; Electrical engineering; Membrane; Electrode","authors":[{"name":"Abdulrahman M. Abomazid","is_ca":true},{"name":"Nader A. El-Taweel","is_ca":true},{"name":"Farag Hany E. Z.","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009831683154066339,"gpt":0.1896960598482574,"spread":0.179864376694191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004259792,0.0009124958,0.0008126852,0.0003535813,0.0003496025,0.0007327107,0.0008322369,0.001013317,0.002742332],"category_scores_gemma":[0.0008691819,0.0003717884,0.0007842638,0.0004177072,0.0003215662,0.0008410501,0.0005570063,0.001067477,0.0008746072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559572,"about_ca_system_score_gemma":0.0008030235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005760585,"about_ca_topic_score_gemma":0.003784571,"domain_scores_codex":[0.9997558,0.00006653942,0.00001399026,0.00006289213,0.00008320982,0.00001759518],"domain_scores_gemma":[0.9998141,0.00008675084,0.00002621224,0.00001318247,0.00005558565,0.000004281942],"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":[0.00001736527,0.00001180364,0.0001955436,0.00006730613,0.00001297861,0.00003797056,0.00001975233,0.9857837,0.001904377,0.002731142,0.0003346296,0.008883486],"study_design_scores_gemma":[0.000003185468,0.00001166277,0.0001185713,0.000004800386,0.000005475661,0.00001554717,0.000004341804,0.9971266,0.0007668312,0.0008143049,0.001124825,0.000003882899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009905521,0.0004281068,0.9804499,0.000187902,0.00003123192,0.00006470817,0.0002042782,0.0004252674,0.008302999],"genre_scores_gemma":[0.7910804,0.001527371,0.1842825,0.0001701854,0.00005150122,0.0009505569,0.0008922378,0.000235973,0.02080926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005760585,"threshold_uncertainty_score":0.01145411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126979872","doi":"10.1109/epec48502.2020.9320066","title":"GridKG: Knowledge Graph Representation of Distribution Grid Data","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Grid; Lattice graph; Theoretical computer science; Graph; Power grid; Data mining; Distributed computing; Power (physics); Line graph; Voltage graph; Mathematics","authors":[{"name":"Yashar Kor","is_ca":true},{"name":"Liang Z. Tan","is_ca":true},{"name":"Marek Reformat","is_ca":true},{"name":"Petr Musı́lek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03492086429409474,"gpt":0.2657714604357737,"spread":0.2308505961416789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005832135,0.0006903053,0.0004726052,0.002815101,0.0005484672,0.002151395,0.001338171,0.0009785341,0.008143533],"category_scores_gemma":[0.004947828,0.0003840861,0.0009438117,0.003368706,0.000421175,0.003223368,0.001529354,0.001325342,0.002398628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175244,"about_ca_system_score_gemma":0.001413403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01922735,"about_ca_topic_score_gemma":0.01854945,"domain_scores_codex":[0.9994593,0.0001115291,0.00006050434,0.0001505644,0.0001758254,0.00004224871],"domain_scores_gemma":[0.9988773,0.000411068,0.0001060352,0.000361283,0.000189194,0.00005505067],"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":[0.0004238478,0.0002560542,0.004528172,0.001419983,0.0002324917,0.001263092,0.001147086,0.1814578,0.00648128,0.1614733,0.1447944,0.4965225],"study_design_scores_gemma":[0.0000660115,0.00006247329,0.001520988,0.0002394977,0.00009048848,0.0004629021,0.0003533159,0.6218074,0.005579559,0.199806,0.1699551,0.00005628221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01167901,0.0005744555,0.9023121,0.001262613,0.0001818359,0.0003919081,0.05097502,0.02480053,0.007822503],"genre_scores_gemma":[0.1824328,0.00117442,0.7192973,0.0004653145,0.00006362054,0.0005875429,0.08973006,0.001329099,0.004919971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01922735,"threshold_uncertainty_score":0.0382309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128928242","doi":"10.1109/epec48502.2020.9320075","title":"Bayesian Optimization Based ANN Model for Short Term Wind Speed Forecasting in Newfoundland, Canada","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Hyperparameter; Wind speed; Artificial neural network; Mean squared error; Support vector machine; Wind power; Computer science; Artificial intelligence; Random forest; Machine learning; Bayesian probability; Mean absolute percentage error; Bayesian inference; Term (time); Meteorology; Statistics; Engineering; Mathematics; Geography","authors":[{"name":"Habibur Rahaman","is_ca":true},{"name":"T. M. Rubaith Bashar","is_ca":false},{"name":"Mohammad Munem","is_ca":false},{"name":"Md. Hasibul Hasan Hasib","is_ca":false},{"name":"Hasan Mahmud","is_ca":false},{"name":"Arifin Nur Alif","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01942221467461182,"gpt":0.1969165871096679,"spread":0.1774943724350561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003513905,0.000646243,0.000669562,0.0004976013,0.0007277584,0.001014824,0.001043033,0.0007872172,0.002271839],"category_scores_gemma":[0.0009068413,0.0003909261,0.0005433557,0.0007500923,0.0003516269,0.0004666685,0.0003857616,0.0008536478,0.0002698751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006530232,"about_ca_system_score_gemma":0.006854504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9356673,"about_ca_topic_score_gemma":0.9106246,"domain_scores_codex":[0.9998345,0.0000198047,0.000007770912,0.00003973517,0.00003720836,0.00006092335],"domain_scores_gemma":[0.9997003,0.00006340135,0.00002846847,0.000007242867,0.0001828265,0.00001772668],"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":[0.000038133,0.00001931423,0.002558832,0.00001590411,0.00002094472,0.0000749708,0.00001483774,0.9876933,0.0002209638,0.001382079,0.001901205,0.006059575],"study_design_scores_gemma":[0.000002288425,0.000001945644,0.001039278,0.000003273225,0.000004243797,0.000002967364,0.000006496307,0.9984488,0.00003474811,0.0001818314,0.0002699297,0.000004143497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194335,0.00333697,0.2039464,0.003628363,0.0003403917,0.0001624261,0.006185816,0.001091682,0.06187455],"genre_scores_gemma":[0.9643779,0.000701364,0.009160492,0.00009843273,0.00002777092,0.0000610209,0.001807986,0.00004312034,0.02372176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06433272,"threshold_uncertainty_score":0.1294231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127442777","doi":"10.1109/epec48502.2020.9320013","title":"Probabilistic Assessment of the Impact of Integrating Large-Scale High-Power Fast Charging Stations on the Power Quality in the Distribution Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced Battery Technologies Research","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":"Ontario Tech University","funders":"","keywords":"Harmonics; Total harmonic distortion; Flicker; Distortion (music); Power (physics); Voltage; Monte Carlo method; Electric power system; Probabilistic logic; Harmonic; Electrical engineering; Harmonic analysis; Automotive engineering; Computer science; Electronic engineering; Engineering; Mathematics; Physics; Acoustics; Statistics","authors":[{"name":"Bishoy Basta","is_ca":true},{"name":"Walid G. Morsi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01856197275754291,"gpt":0.288404669505231,"spread":0.2698426967476881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002677088,0.0006368224,0.0005116557,0.0007710346,0.0003867746,0.0009825536,0.0006615518,0.0007534713,0.001100987],"category_scores_gemma":[0.008394914,0.0004105739,0.0007754952,0.0007498101,0.0006007949,0.001270764,0.0008244904,0.0006378043,0.0000931026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283875,"about_ca_system_score_gemma":0.0006537075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553449,"about_ca_topic_score_gemma":0.005306084,"domain_scores_codex":[0.9980075,0.000747516,0.00006244185,0.0001744847,0.0008660751,0.0001419358],"domain_scores_gemma":[0.9903205,0.006987851,0.001058807,0.0005435672,0.0009386404,0.0001505532],"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":[0.0001013213,0.00002766702,0.009169724,0.00002441608,0.00005689021,0.00007186736,0.00001999262,0.9815586,0.001666673,0.0008681326,0.00005106205,0.006383713],"study_design_scores_gemma":[0.00001147193,0.0002300133,0.0163481,0.00000553928,0.00006294243,0.000089755,0.00005572398,0.9799471,0.002003412,0.001068684,0.0001570003,0.00002011544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6959266,0.0003962553,0.2984104,0.0001831996,0.00002513167,0.0001409268,0.0001952761,0.0003953389,0.00432679],"genre_scores_gemma":[0.9966879,0.00004786485,0.003007391,0.000007134335,0.000004412434,0.000008874244,0.00004102243,0.000008423805,0.0001870006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00553449,"threshold_uncertainty_score":0.01415795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126318204","doi":"10.1109/epec48502.2020.9320053","title":"Artificial Bee Colony-based Routing for Mobile Agents on the Internet of Things","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Routing (electronic design automation); Computer network; Wireless; Reliability (semiconductor); The Internet; Distributed computing; Telecommunications; World Wide Web","authors":[{"name":"Shamim Yousefi","is_ca":false},{"name":"Farnaz Derakhshan","is_ca":false},{"name":"Hadis Karimipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02313481838242308,"gpt":0.227770818732362,"spread":0.204636000349939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002878508,0.0003023184,0.000346741,0.000278323,0.000332728,0.0005545283,0.0005380348,0.0004993592,0.0008060606],"category_scores_gemma":[0.001052384,0.0001223014,0.000308212,0.0003367942,0.0003113835,0.0005337625,0.0004199154,0.0004612542,0.0001613808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919713,"about_ca_system_score_gemma":0.0003824022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002816534,"about_ca_topic_score_gemma":0.002700575,"domain_scores_codex":[0.9997998,0.0000653489,0.00001233389,0.00002575656,0.00008226637,0.00001465524],"domain_scores_gemma":[0.9997882,0.00008471927,0.00002476155,0.00002342848,0.00006886025,0.000009997094],"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":[0.00008351175,0.0000552464,0.0009002804,0.0001710893,0.00007933169,0.0003274089,0.0001348631,0.7788668,0.02089878,0.05173494,0.004763228,0.1419846],"study_design_scores_gemma":[0.000007796222,0.00002827551,0.0001563502,0.000007752168,0.000009943611,0.00004224385,0.00001278463,0.9896533,0.001055095,0.005821822,0.003198485,0.000006218335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0272468,0.001063814,0.9603372,0.000465175,0.0002564922,0.00009954566,0.00003363528,0.0004909777,0.01000631],"genre_scores_gemma":[0.7082075,0.00112109,0.282723,0.0002488811,0.00005644163,0.0002001331,0.00009318047,0.00007903796,0.007270664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002816534,"threshold_uncertainty_score":0.005600333,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127329121","doi":"10.1109/epec48502.2020.9320127","title":"A Reinforcement Learning based Power System Stabilizer for a Grid Connected Wind Energy Conversion System","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Microgrid Control and Optimization","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":"Carleton University","funders":"","keywords":"Wind power; Control theory (sociology); Controller (irrigation); Wind speed; Pitch control; Electric power system; Rotor (electric); Induction generator; Computer science; Reinforcement learning; Grid; AC power; Engineering; Power (physics); Voltage; Control (management); Electrical engineering; Physics","authors":[{"name":"Rahul Kosuru","is_ca":true},{"name":"Pengcheng Chen","is_ca":true},{"name":"Shichao Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005824301042855147,"gpt":0.1633041774915436,"spread":0.1574798764486885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004708201,0.0004571019,0.0004853836,0.0001859085,0.0003571545,0.0004418803,0.0005706406,0.0005251147,0.001968445],"category_scores_gemma":[0.0006982327,0.000169316,0.0002629534,0.0001187026,0.0003820298,0.0002506992,0.0003319796,0.0005920576,0.0003151282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004137488,"about_ca_system_score_gemma":0.0004396648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0036049,"about_ca_topic_score_gemma":0.00254342,"domain_scores_codex":[0.9997784,0.00006064586,0.00001394859,0.00005504308,0.00006878371,0.00002319378],"domain_scores_gemma":[0.9997719,0.00007127351,0.00004767304,0.00001761212,0.00007603911,0.00001546413],"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":[0.0003518949,0.0001831592,0.0009825445,0.0001735503,0.00008854635,0.0004610276,0.0001323261,0.8723895,0.03391644,0.004605836,0.001563689,0.08515144],"study_design_scores_gemma":[0.00003572589,0.0001536545,0.0001807599,0.00000554682,0.00001044692,0.00003259024,0.000003634572,0.997177,0.001699119,0.0002662691,0.0004292896,0.000005886466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124819,0.000444831,0.8634418,0.0004593534,0.0001786987,0.0001725541,0.00004777381,0.002225232,0.008210721],"genre_scores_gemma":[0.9816745,0.00006291109,0.01646217,0.00004941085,0.00001504777,0.00005543218,0.00001757211,0.00001327681,0.001649596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0036049,"threshold_uncertainty_score":0.007167816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126632993","doi":"10.1109/epec48502.2020.9320092","title":"Event Tree Reliability Analysis of Electrical Power Generation Network using Formal Techniques","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Security and Resilience","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":"Concordia University","funders":"","keywords":"Computer science; Reliability (semiconductor); Reliability engineering; Toolbox; Monte Carlo method; Wind power; Formal verification; Electric power system; Power (physics); Algorithm; Engineering; Mathematics","authors":[{"name":"Mohamed Abdelghany","is_ca":true},{"name":"Waqar Ahmad","is_ca":true},{"name":"Sofiène Tahar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01175624936159281,"gpt":0.2166348780307245,"spread":0.2048786286691317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001914032,0.0005603021,0.0004076819,0.001254393,0.0003088697,0.0007007451,0.0005619076,0.0003146824,0.002028598],"category_scores_gemma":[0.005896819,0.0002204484,0.0009230623,0.0006374655,0.0007932807,0.001004569,0.0004482724,0.0006958923,0.0002100246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008470991,"about_ca_system_score_gemma":0.001152057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216185,"about_ca_topic_score_gemma":0.002567808,"domain_scores_codex":[0.9991742,0.0003417864,0.00003856606,0.00007386971,0.0002926737,0.0000789375],"domain_scores_gemma":[0.9956596,0.003324163,0.0003568402,0.0002090742,0.0004185878,0.00003162695],"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":[0.00001839154,0.00002172236,0.0008610801,0.00007956941,0.00002098282,0.00009230696,0.00005245562,0.9303513,0.002237914,0.05022187,0.0002855148,0.01575685],"study_design_scores_gemma":[0.000003055389,0.00000699609,0.0001136641,0.000008019611,0.000004882675,0.00002021097,0.000006810934,0.9830132,0.0007093395,0.01573122,0.0003799423,0.000002586979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01172857,0.0001264454,0.9867822,0.00005278993,0.000007648066,0.0000206956,0.0000672161,0.0002442973,0.0009701838],"genre_scores_gemma":[0.6628623,0.0006069956,0.33417,0.00006427922,0.00004208637,0.000173776,0.0003200808,0.0001827523,0.001577584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003216185,"threshold_uncertainty_score":0.01012248,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129121450","doi":"10.1109/epec48502.2020.9320112","title":"Fuzzy Based Energy Management System for a Micro-grid with a V2G Parking Lot","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"State of charge; Fuzzy logic; Vehicle-to-grid; Grid; Energy management system; Energy management; Computer science; Battery (electricity); Electric vehicle; Automotive engineering; Energy storage; Controller (irrigation); MATLAB; Charge controller; Fuzzy control system; Power (physics); Energy (signal processing); Engineering; Operating system","authors":[{"name":"Femina Mohammed Shakeel","is_ca":true},{"name":"O.P. Malik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005798610937457176,"gpt":0.1666019838741439,"spread":0.1608033729366867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000247417,0.0004059318,0.0005032605,0.0003760042,0.0008233206,0.0009522031,0.0009760318,0.0005454581,0.004562405],"category_scores_gemma":[0.0002150792,0.0001781926,0.0003434531,0.00027797,0.0002435285,0.0004675385,0.0004458646,0.0003257568,0.0007236121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005618246,"about_ca_system_score_gemma":0.0007058178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708852,"about_ca_topic_score_gemma":0.009967803,"domain_scores_codex":[0.9998227,0.00002468299,0.00001768921,0.00004841142,0.00005787252,0.00002865971],"domain_scores_gemma":[0.9998659,0.00002390441,0.00001909608,0.00001234181,0.00006326132,0.00001543616],"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":[0.001185693,0.0005922485,0.005717972,0.0005560159,0.0001909357,0.00120535,0.0003384055,0.6504545,0.05423337,0.01122094,0.01091532,0.2633893],"study_design_scores_gemma":[0.00007963234,0.0002165352,0.0009846486,0.00001635823,0.0000456182,0.0001618285,0.00006801831,0.9858993,0.006978688,0.001542329,0.003981481,0.00002557188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1976532,0.0006971622,0.7659497,0.000667329,0.0003554797,0.0004462789,0.0004526204,0.006010195,0.02776805],"genre_scores_gemma":[0.9772204,0.00007118797,0.01847967,0.00007863035,0.00001805212,0.00009349079,0.00008880312,0.0000129369,0.00393676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00708852,"threshold_uncertainty_score":0.01526278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128303448","doi":"10.1109/epec48502.2020.9320051","title":"Representative Profiling of Prosumers with Local Distributed Energy Resources and Electric Vehicles Using Unsupervised Machine Learning","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Granularity; Cluster analysis; Computer science; Distributed generation; Unsupervised learning; Principal component analysis; Photovoltaic system; Data mining; k-nearest neighbors algorithm; Profiling (computer programming); Load profile; Artificial intelligence; Machine learning; Electricity; Engineering; Renewable energy","authors":[{"name":"Daniel J. Mabuggwe","is_ca":true},{"name":"Walid G. Morsi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0106061577948104,"gpt":0.1935928366485957,"spread":0.1829866788537853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004743288,0.0005090784,0.0005974481,0.001100601,0.0002501321,0.0006394954,0.0005707507,0.0004004036,0.0006863392],"category_scores_gemma":[0.001678345,0.000148064,0.0004506226,0.001576532,0.0001426775,0.0008093733,0.0004794633,0.0003879132,0.0004623955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392536,"about_ca_system_score_gemma":0.0002776601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004145935,"about_ca_topic_score_gemma":0.007359911,"domain_scores_codex":[0.9995477,0.0001054252,0.00003438584,0.0001338538,0.00009837863,0.00008022525],"domain_scores_gemma":[0.9994603,0.0001589647,0.00009115857,0.0001037836,0.0001441147,0.0000417188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009494098,0.0007440116,0.3839727,0.0003513352,0.0005051895,0.00137436,0.0004650771,0.3027807,0.01062364,0.004656014,0.01266896,0.2809086],"study_design_scores_gemma":[0.00001401341,0.000131666,0.08229636,0.00003019061,0.00005171499,0.0004354554,0.0005241524,0.9031487,0.004130025,0.00385846,0.005346303,0.00003291333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834033,0.0005135804,0.1042293,0.0002391794,0.00008124905,0.0001420766,0.006429951,0.0004503236,0.004511018],"genre_scores_gemma":[0.9735562,0.0001486737,0.01732605,0.00004234817,0.00002325703,0.00004634733,0.007652004,0.00001898738,0.001186234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004145935,"threshold_uncertainty_score":0.008243561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127620987","doi":"10.1109/epec48502.2020.9320073","title":"Implications of microgrids, economic autonomy and renewable energy systems for remote Indigenous communities","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Indigenous; Renewable energy; Autonomy; Natural resource economics; Business; Environmental resource management; Environmental economics; Economics; Engineering; Political science; Ecology","authors":[{"name":"Alyssa A. Schatz","is_ca":true},{"name":"Petr Musı́lek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01833253270019366,"gpt":0.2195421850839604,"spread":0.2012096523837667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009436268,0.00019914,0.0002032587,0.0004149946,0.005335046,0.002719447,0.0008962849,0.001178373,0.008043651],"category_scores_gemma":[0.002539514,0.0001025062,0.0002864024,0.0006808456,0.006521529,0.00324725,0.00300214,0.001598667,0.0001986272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005905787,"about_ca_system_score_gemma":0.00817721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1745534,"about_ca_topic_score_gemma":0.2562941,"domain_scores_codex":[0.9991616,0.0003153627,0.00001795766,0.00005670228,0.0001482818,0.0003001259],"domain_scores_gemma":[0.9988915,0.0003871023,0.0001150364,0.00005656479,0.0002856237,0.0002641021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008581835,0.0001304039,0.00866391,0.000545096,0.00002967415,0.002845048,0.04265582,0.005423872,0.001115436,0.8749997,0.006005666,0.05749961],"study_design_scores_gemma":[0.00002725593,0.0001160776,0.03320284,0.001430113,0.0000750164,0.001356151,0.3753089,0.007416276,0.001124293,0.3776839,0.2021706,0.00008868933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4087038,0.008225893,0.006298409,0.09950205,0.0004043512,0.00008144166,0.0001172486,0.00003528356,0.4766315],"genre_scores_gemma":[0.9912593,0.001799907,0.0007281771,0.0006514657,0.00004112526,0.00001372014,0.000009839987,0.000005154503,0.005491205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1745534,"threshold_uncertainty_score":0.3470747,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127143678","doi":"10.1109/epec48502.2020.9320005","title":"A Reactive Power Compensation Scheme Using Distribution STATCOMs to Manage Voltage in Rural Distribution Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"ATCO (Canada)","funders":"","keywords":"AC power; Volt-ampere reactive; Voltage optimisation; Ampacity; Voltage; Compensation (psychology); Electric power system; Total harmonic distortion; Computer science; Control theory (sociology); Power-flow study; Voltage regulation; Electronic engineering; Power (physics); Engineering; Electrical engineering","authors":[{"name":"Alexandre B. Nassif","is_ca":true},{"name":"Dawit Fedaku","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01234390369534473,"gpt":0.2101702941918885,"spread":0.1978263904965437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348352,0.000511754,0.0002139724,0.0003809978,0.0003278827,0.0005217024,0.00070784,0.0003430901,0.001648464],"category_scores_gemma":[0.0003324908,0.00009301137,0.0001398789,0.000518401,0.0003023807,0.000454651,0.00024771,0.0003251669,0.0004437461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669627,"about_ca_system_score_gemma":0.000257704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150302,"about_ca_topic_score_gemma":0.002472864,"domain_scores_codex":[0.9997843,0.00008344185,0.00001348801,0.00004124959,0.00006465233,0.0000129445],"domain_scores_gemma":[0.9998254,0.00003716472,0.00005193553,0.00002734267,0.00004830004,0.000009900573],"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":[0.0006142015,0.0003644726,0.002994016,0.0004343523,0.00006679157,0.0004308287,0.0002850819,0.2936884,0.1449391,0.02514758,0.004200998,0.5268343],"study_design_scores_gemma":[0.0001912773,0.002180094,0.003904779,0.00007475662,0.0001274061,0.0007926323,0.0001332553,0.8967076,0.0654698,0.008306196,0.0220626,0.00004964856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146994,0.0006555993,0.830353,0.0003261905,0.00008366547,0.0002453577,0.0001366847,0.002333699,0.01887185],"genre_scores_gemma":[0.9653059,0.0001779985,0.03174438,0.00003802907,0.00002613336,0.00004103343,0.00004467112,0.0000221153,0.002599766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001648464,"threshold_uncertainty_score":0.005514622,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128093941","doi":"10.1109/epec48502.2020.9320056","title":"Steady State Accuracy of Second-Order Generator Dynamic Models in Generator Parameter Validation Testing","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Generator (circuit theory); Computer science; Steady state (chemistry); Control theory (sociology); Estimation theory; Stator; Electric generator; Algorithm; Engineering; Power (physics); Artificial intelligence; Mechanical engineering; Physics","authors":[{"name":"Quincy Y. Wang","is_ca":true},{"name":"Song Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02232776433095684,"gpt":0.2211071796081235,"spread":0.1987794152771667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223616,0.0005704364,0.000551426,0.0004739786,0.0002809715,0.0008804771,0.0007617612,0.0006075568,0.001188511],"category_scores_gemma":[0.003460216,0.0003043076,0.0005449964,0.0002890751,0.0003982292,0.001266786,0.0005968431,0.0007593022,0.0003906595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406853,"about_ca_system_score_gemma":0.0005829658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039614,"about_ca_topic_score_gemma":0.002027924,"domain_scores_codex":[0.9993922,0.0002369486,0.00003194791,0.00007901937,0.0002177841,0.00004216726],"domain_scores_gemma":[0.9985055,0.0009363773,0.0001012214,0.0002098316,0.0002296049,0.00001756722],"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":[0.0001828758,0.00005963093,0.00348992,0.0001675366,0.00003713962,0.00009698995,0.0001858914,0.9289793,0.01192681,0.008677875,0.0005185241,0.04567756],"study_design_scores_gemma":[0.00001144961,0.000135743,0.001258223,0.00002369775,0.00001774179,0.00006647858,0.00003003434,0.9867663,0.007189757,0.002605704,0.001878435,0.00001653814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2304499,0.00107412,0.751388,0.0002907736,0.00007810537,0.00005244977,0.0002056747,0.001268023,0.01519305],"genre_scores_gemma":[0.9822025,0.0003153234,0.01547411,0.00002169811,0.000008646147,0.00004120981,0.0001505711,0.00008849796,0.00169745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002039614,"threshold_uncertainty_score":0.006471157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128558301","doi":"10.1109/epec48502.2020.9320090","title":"Demand Side Management using Model-Free Fuzzy Controller in a Direct Load Control Program","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Siemens","keywords":"Thermostat; Controller (irrigation); Computer science; Control theory (sociology); Electric power system; Demand response; Load management; Control engineering; Operator (biology); Load profile; Fuzzy logic; Grid; Load following power plant; Power (physics); Base load power plant; Control (management); Engineering; Electricity","authors":[{"name":"Pegah Yazdkhasti","is_ca":true},{"name":"Chris Diduch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01082078665618746,"gpt":0.2011161983926504,"spread":0.190295411736463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004192021,0.000504543,0.0004398381,0.0002538675,0.0005508767,0.0008097609,0.0007498472,0.000492448,0.002036298],"category_scores_gemma":[0.0006317586,0.0002748692,0.0003276396,0.0001358901,0.0003765811,0.0003798791,0.0004438107,0.0005625807,0.0003296489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000533528,"about_ca_system_score_gemma":0.0007103156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009236952,"about_ca_topic_score_gemma":0.01074522,"domain_scores_codex":[0.9997389,0.00003849883,0.00001467062,0.00007441213,0.00009218451,0.0000412894],"domain_scores_gemma":[0.9997213,0.00009001425,0.00004095888,0.00003233465,0.00009521664,0.00002003271],"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":[0.0007474039,0.0006725834,0.001709354,0.0002265248,0.00007759732,0.0003519755,0.0003056267,0.7895128,0.06048995,0.004067308,0.001810186,0.1400287],"study_design_scores_gemma":[0.00004879304,0.000177145,0.0003136575,0.000006427867,0.00001513226,0.00002304816,0.00001040964,0.9918968,0.006532632,0.00032171,0.0006428373,0.00001144967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2655824,0.0002119697,0.7114413,0.0002591812,0.0001560732,0.0003475224,0.00009078217,0.003081603,0.01882925],"genre_scores_gemma":[0.9733704,0.00003275535,0.02444768,0.0000398023,0.00000992315,0.00008472851,0.00002373451,0.00001551479,0.001975453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009236952,"threshold_uncertainty_score":0.0183664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127109442","doi":"10.1109/epec48502.2020.9320029","title":"Decoy-based Moving Target defense Against Cyber-physical Attacks On Smart Grid","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Decoy; Cyber-physical system; Computer science; Process (computing); Identification (biology); Controller (irrigation); Real-time computing; Set (abstract data type); Electric power system; Power (physics)","authors":[{"name":"Ahmed Abdelwahab","is_ca":true},{"name":"Walter Lúcia","is_ca":true},{"name":"Amr Youssef","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008641113512269793,"gpt":0.1974475797594905,"spread":0.1888064662472207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005027115,0.0004744197,0.0005890257,0.0002576826,0.0003754142,0.0004555655,0.0008497844,0.0006335389,0.0009381183],"category_scores_gemma":[0.001488258,0.0001851675,0.0004315943,0.0001413344,0.0008954079,0.001037379,0.001160095,0.0008451463,0.0001721397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808804,"about_ca_system_score_gemma":0.0004904047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001406516,"about_ca_topic_score_gemma":0.0009067493,"domain_scores_codex":[0.9996378,0.00008436502,0.00001707214,0.00008723285,0.0001073648,0.00006611248],"domain_scores_gemma":[0.9993904,0.0001862802,0.0001294519,0.0001649731,0.00008155602,0.00004728201],"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":[0.0003983717,0.00006919678,0.001020549,0.00006957011,0.00005786997,0.0002091917,0.0002015871,0.8714887,0.05056364,0.03060873,0.0005564276,0.04475614],"study_design_scores_gemma":[0.000009787555,0.0002397517,0.0002730876,0.000004922262,0.000009842839,0.00004960198,0.00001244072,0.9895288,0.006162153,0.003290053,0.0004091011,0.00001045553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2006826,0.0001938561,0.7950844,0.0001623498,0.00005864249,0.00004919757,0.00003022851,0.0008947342,0.002844108],"genre_scores_gemma":[0.9886827,0.00005804083,0.0103401,0.00003973411,0.000007174749,0.00002503001,0.00001995235,0.00001476541,0.000812489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001406516,"threshold_uncertainty_score":0.003489017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127179677","doi":"10.1109/epec48502.2020.9320017","title":"Multi-Unit Market-based Mechanism Design in Cloud Secondary Markets","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Computer science; Flexibility (engineering); Service provider; Service (business); Futures contract; Market mechanism; Mechanism (biology); Resource allocation; Provisioning; Mechanism design; Operations research; Business; Microeconomics; Computer network; Marketing; Economics; Finance","authors":[{"name":"S. M. Reza Dibaj","is_ca":true},{"name":"Ali Miri","is_ca":true},{"name":"Seyedakbar Mostafavi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.019631822021561,"gpt":0.2105821841027078,"spread":0.1909503620811469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006345776,0.0008849794,0.002077358,0.001121691,0.001204184,0.00438257,0.004311526,0.002090595,0.004499858],"category_scores_gemma":[0.007594896,0.000788533,0.001580313,0.001399595,0.001854866,0.004238686,0.002212355,0.002093964,0.0006213069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002626795,"about_ca_system_score_gemma":0.002987488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341268,"about_ca_topic_score_gemma":0.0009723447,"domain_scores_codex":[0.9950258,0.002377416,0.0002995747,0.0007292392,0.00100806,0.0005598775],"domain_scores_gemma":[0.9967589,0.001369181,0.0004528181,0.0003675972,0.0007221157,0.0003294177],"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":[0.0003087397,0.0002309032,0.0004880578,0.00039782,0.0001627899,0.0004798623,0.0002563191,0.4672391,0.007024851,0.4854086,0.002372756,0.03563019],"study_design_scores_gemma":[0.00008034379,0.0001033476,0.00005931976,0.00001719985,0.00002837572,0.0001209012,0.0000292878,0.9473372,0.001203303,0.0485042,0.002492292,0.00002421587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009191019,0.0002354862,0.9866695,0.0001904665,0.00007138529,0.0002958409,0.00003882073,0.0001771909,0.003130345],"genre_scores_gemma":[0.7236971,0.0004804153,0.269644,0.0002012116,0.0001283564,0.0008437487,0.00006589889,0.0000864137,0.004852758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006345776,"threshold_uncertainty_score":0.0335601,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127284837","doi":"10.1109/epec48502.2020.9320041","title":"Analysis of Symmetric and Asymmetric CHB-MLI Using MC based SPWM and THI-PWM","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Pulse-width modulation; Harmonics; Harmonic analysis; Control theory (sociology); Topology (electrical circuits); Voltage; Computer science; Electronic engineering; Engineering; Electrical engineering; Artificial intelligence","authors":[{"name":"Jigneshkumar Patel","is_ca":true},{"name":"Vijay K. Sood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0174064177709561,"gpt":0.203819954737098,"spread":0.1864135369661419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467144,0.0004095228,0.0003927838,0.0004983791,0.0002975173,0.0006066412,0.0005901117,0.000421599,0.003523812],"category_scores_gemma":[0.0004501207,0.0001541798,0.0004324927,0.0005782047,0.0002208267,0.0005190426,0.0001221461,0.0002529108,0.0003965888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000593198,"about_ca_system_score_gemma":0.0002515304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389981,"about_ca_topic_score_gemma":0.002343573,"domain_scores_codex":[0.9998016,0.00001761686,0.000007749668,0.00002729387,0.0001266103,0.00001920624],"domain_scores_gemma":[0.9998407,0.00004235251,0.00003384538,0.00001593355,0.00006032027,0.000006747189],"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":[0.0005393346,0.0002000989,0.005588905,0.0008978239,0.0001842,0.001179977,0.000420233,0.5183806,0.1725233,0.06313307,0.004346969,0.2326054],"study_design_scores_gemma":[0.000008154328,0.0001173923,0.002553988,0.00002257696,0.00002383275,0.0002276314,0.00003520159,0.9829281,0.009676978,0.001861615,0.00253347,0.00001109883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3605482,0.002084973,0.5363044,0.0004050471,0.0001207899,0.000257485,0.0004399274,0.001256447,0.09858282],"genre_scores_gemma":[0.9889405,0.0002114529,0.008460549,0.00001473508,0.00001459667,0.0000237634,0.00008004918,0.00002582436,0.002228435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003523812,"threshold_uncertainty_score":0.01178825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127197798","doi":"10.1109/epec48502.2020.9320083","title":"Frequency Control for a High Penetration Wind-Based Energy Storage System in the Power Network","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Wind power; Penetration (warfare); Energy storage; Pumped-storage hydroelectricity; Automatic frequency control; Computer science; Power control; Electric power system; Environmental science; Electrical engineering; Power (physics); Automotive engineering; Renewable energy; Distributed generation; Engineering; Telecommunications; Physics; Operations research","authors":[{"name":"Md Jahidur Rahman","is_ca":true},{"name":"Tahar Tafticht","is_ca":true},{"name":"Mamadou Lamine Doumbia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007807324636814369,"gpt":0.1803903129059163,"spread":0.1725829882691019,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002383139,0.0002494846,0.0001981645,0.0001402377,0.000290105,0.0003737292,0.0002227319,0.0002080566,0.001420965],"category_scores_gemma":[0.000275894,0.00007197226,0.0001436412,0.0001121516,0.000179142,0.0001990618,0.0001245577,0.0002065347,0.0000961245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331016,"about_ca_system_score_gemma":0.0001686117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191207,"about_ca_topic_score_gemma":0.002946028,"domain_scores_codex":[0.9998939,0.00002870377,0.00000938942,0.00001981868,0.00003745995,0.00001072663],"domain_scores_gemma":[0.9998466,0.00006684223,0.00002907483,0.00001185317,0.00003830133,0.000007410649],"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":[0.001808085,0.0003979511,0.005254562,0.0009320152,0.0001156467,0.001030624,0.0005310321,0.4065134,0.3714256,0.007622808,0.001587699,0.2027806],"study_design_scores_gemma":[0.00007722364,0.001033458,0.002782084,0.00002101332,0.00005865275,0.0001679831,0.00006512136,0.9431037,0.05037364,0.000577838,0.001723919,0.00001526389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6822222,0.0004976564,0.3041874,0.0002758358,0.0001136659,0.0001659996,0.00008487096,0.0006113228,0.01184096],"genre_scores_gemma":[0.9957823,0.00003645263,0.003609143,0.000005806603,0.000002621458,0.00001153641,0.000005835036,0.00000212906,0.0005443079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00191207,"threshold_uncertainty_score":0.004753649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127495728","doi":"10.1109/epec48502.2020.9319921","title":"Impact of Dead-band Time on the Harmonic Spectrum of Power Converters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Converters; Power (physics); Harmonic; Harmonic analysis; Harmonic spectrum; Electronic engineering; Electrical engineering; Computer science; Physics; Harmonics; Engineering; Voltage; Acoustics","authors":[{"name":"Jigneshkumar Patel","is_ca":true},{"name":"Vijay K. Sood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008569572431432892,"gpt":0.1973998957720967,"spread":0.1888303233406638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006169974,0.0004327321,0.000466669,0.0005732704,0.0004034527,0.0009948389,0.0004809389,0.0006622911,0.002418737],"category_scores_gemma":[0.003285022,0.0001684804,0.0003317812,0.0004177146,0.0005338066,0.001150186,0.0003237897,0.0004986238,0.0004270359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005213815,"about_ca_system_score_gemma":0.0001957156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004471021,"about_ca_topic_score_gemma":0.0003279333,"domain_scores_codex":[0.9993144,0.0001033002,0.00003122261,0.00009505669,0.0003564145,0.00009962758],"domain_scores_gemma":[0.9957724,0.00308768,0.0003004678,0.0002542968,0.0005019557,0.00008317164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003978048,0.0003648055,0.007815217,0.0008253132,0.0001241194,0.002380263,0.000912974,0.2248942,0.4883321,0.03109805,0.001101873,0.238173],"study_design_scores_gemma":[0.00008732162,0.001701477,0.01624494,0.0002239196,0.0002649727,0.003373878,0.0004809948,0.5112513,0.4375812,0.0176171,0.01104054,0.0001324375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6288451,0.00634869,0.335131,0.0002789183,0.0002283262,0.00003936194,0.0001845416,0.001128515,0.02781567],"genre_scores_gemma":[0.9949709,0.0004337376,0.003780252,0.00002110345,0.00002117603,0.000004782823,0.00002979437,0.00006252865,0.000675609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002418737,"threshold_uncertainty_score":0.00809145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128096191","doi":"10.1109/epec48502.2020.9319917","title":"Computational Acquisition of Meteorological Data for Applications in Electric Power Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Numerical weather prediction; Computer science; Model output statistics; Smart grid; Photovoltaic system; Meteorology; Data acquisition; Weather station; Grid; North American Mesoscale Model; Global Forecast System; Engineering; Geography","authors":[{"name":"Nigel Woodhouse","is_ca":true},{"name":"Petr Musı́lek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02885544162044381,"gpt":0.2540123459529629,"spread":0.2251569043325191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053696,0.0004467844,0.0003384686,0.0004088131,0.0004503628,0.000711268,0.0005748905,0.000412902,0.005755887],"category_scores_gemma":[0.003610936,0.0003046946,0.0003094542,0.0008015762,0.0001908032,0.000576548,0.0004643514,0.0006430099,0.001206011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158513,"about_ca_system_score_gemma":0.00112592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008786465,"about_ca_topic_score_gemma":0.01196492,"domain_scores_codex":[0.9998649,0.00003867165,0.00001500834,0.00002476458,0.00004518298,0.00001143782],"domain_scores_gemma":[0.9992575,0.0003165407,0.00004570668,0.0001615416,0.0001917017,0.00002694435],"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":[0.0001821287,0.0002146049,0.0120816,0.0002475426,0.00007658603,0.0002586917,0.0002897575,0.784947,0.01359915,0.009339258,0.01631265,0.1624511],"study_design_scores_gemma":[0.00001845319,0.00001286452,0.001997725,0.000008763704,0.000004103997,0.00001587771,0.0000445507,0.9879445,0.003432331,0.001772535,0.004739673,0.000008543991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1446574,0.0002164335,0.8212134,0.0005775555,0.0002194039,0.0003457882,0.007256681,0.01095989,0.01455345],"genre_scores_gemma":[0.6224954,0.0002166167,0.3690167,0.000063108,0.00005261529,0.000438622,0.005145563,0.0004032849,0.002168122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008786465,"threshold_uncertainty_score":0.0192554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127949972","doi":"10.1109/epec48502.2020.9320125","title":"A Prediction Interval Based Cascading Failure Prediction Model for Power Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Blackout; Load Shedding; Phasor; Electric power system; Computer science; Interval (graph theory); Cascading failure; Reliability engineering; Artificial neural network; Event (particle physics); Prediction interval; Data modeling; Power (physics); Real-time computing; Control theory (sociology); Engineering; Artificial intelligence; Control (management); Machine learning; Mathematics","authors":[{"name":"Mohamed Mahgoub","is_ca":true},{"name":"Seyed Mahdi Mazhari","is_ca":true},{"name":"C. Y. Chung","is_ca":true},{"name":"S.O. Faried","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01752291986404028,"gpt":0.1959447271305796,"spread":0.1784218072665393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007721956,0.0009269291,0.0007904936,0.0004210177,0.0004138418,0.0008147477,0.001334795,0.0009241694,0.00253066],"category_scores_gemma":[0.001883092,0.0003920061,0.0005860553,0.0005545095,0.0004040783,0.0007716873,0.0005639739,0.001828404,0.000353626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000792362,"about_ca_system_score_gemma":0.000807107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02737791,"about_ca_topic_score_gemma":0.01363339,"domain_scores_codex":[0.9996112,0.00008326113,0.00002460258,0.0001315734,0.00009533444,0.00005416474],"domain_scores_gemma":[0.9994356,0.0002879721,0.00009127655,0.0000242778,0.0001408274,0.0000199934],"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":[0.00002012536,0.00001195598,0.0002734986,0.00001541662,0.00001137626,0.00002320049,0.00001604126,0.9920513,0.0002235711,0.00105777,0.0002256977,0.006070004],"study_design_scores_gemma":[0.00000101392,0.00000493483,0.00006280914,9.407248e-7,0.000001653144,0.000002067686,9.760893e-7,0.9995485,0.00002602588,0.000307919,0.00004181123,0.000001289817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04217239,0.0005577315,0.9516426,0.0003140871,0.0001049988,0.000059716,0.0003113995,0.0006891946,0.004147838],"genre_scores_gemma":[0.9713331,0.0003821154,0.02376641,0.00004608732,0.00004914774,0.0001471863,0.0002727579,0.00003385418,0.003969281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02737791,"threshold_uncertainty_score":0.0544371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126613782","doi":"10.1109/epec48502.2020.9320057","title":"Fast AI-Based Power Flow Analysis for High-Dimensional Electric Networks","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Artificial neural network; Electric power system; Power (physics); Dimension (graph theory); Newton's method; Iterative method; Power flow; Algorithm; Speedup; Artificial intelligence; Mathematics","authors":[{"name":"Ali R. Al-Roomi","is_ca":true},{"name":"M.E. El-Hawary","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007547755907116686,"gpt":0.1905525772474227,"spread":0.1830048213403061,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007959783,0.0006727233,0.0004578675,0.0006948804,0.0005602981,0.0007956504,0.0005319045,0.000561142,0.003717284],"category_scores_gemma":[0.002914533,0.0003467175,0.0004378619,0.000650722,0.0005832048,0.001160294,0.000519417,0.001320101,0.0004071572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035172,"about_ca_system_score_gemma":0.0007089701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007539952,"about_ca_topic_score_gemma":0.005649289,"domain_scores_codex":[0.9997564,0.00008933341,0.00001083975,0.0000301734,0.0000922454,0.0000209687],"domain_scores_gemma":[0.9987653,0.0008988972,0.0000712091,0.00004937225,0.0001933194,0.00002187611],"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":[0.00002343146,0.00001214418,0.0002255257,0.00003459249,0.0000120702,0.00002391704,0.00003051763,0.9643462,0.0007122229,0.009263427,0.0005367294,0.02477936],"study_design_scores_gemma":[9.338598e-7,0.000002032082,0.00003267497,0.000001480164,5.362532e-7,0.000002305335,0.000002206569,0.9980843,0.00008716568,0.001635758,0.0001494862,9.713449e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008801323,0.0001997169,0.9875942,0.0001492761,0.00003196771,0.00002875356,0.00004278687,0.0003854068,0.002766518],"genre_scores_gemma":[0.6263072,0.0004994192,0.366326,0.0001002844,0.0000656671,0.000256857,0.0002373862,0.0001740962,0.006033048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007539952,"threshold_uncertainty_score":0.01499212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126447163","doi":"10.1109/epec48502.2020.9319920","title":"Optimal Sizing of a Hybrid Power System for Driving a Passenger Boat in Bangladesh","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sizing; Automotive engineering; Diesel generator; Diesel fuel; Renewable energy; Battery (electricity); Environmental science; Battery capacity; Fuel efficiency; Marine engineering; Power (physics); Electrical engineering; Engineering","authors":[{"name":"Mohammad Abu Abdullah Al Mehedi","is_ca":true},{"name":"M. Tariq Iqbal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01195643610401262,"gpt":0.2104677137620181,"spread":0.1985112776580055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097765,0.0007191175,0.0006104078,0.000446205,0.0006125172,0.001160342,0.0006102895,0.0004512031,0.005814284],"category_scores_gemma":[0.0001978185,0.000420651,0.0003208753,0.000353351,0.0002580814,0.0004198692,0.0003731071,0.0002483368,0.0006044201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008728261,"about_ca_system_score_gemma":0.0005285383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210989,"about_ca_topic_score_gemma":0.01934301,"domain_scores_codex":[0.9998335,0.00003328047,0.00001217996,0.00004124616,0.00004782466,0.00003197003],"domain_scores_gemma":[0.9999212,0.00002003832,0.00001426752,0.000004456339,0.00002878781,0.00001110169],"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":[0.0008267332,0.0002029846,0.003632434,0.0004670263,0.0001276392,0.0005425884,0.0001849264,0.8583474,0.04660034,0.001881676,0.001933527,0.08525275],"study_design_scores_gemma":[0.0001048012,0.0009102879,0.002998019,0.00002215579,0.000100334,0.00009689609,0.000209263,0.985721,0.006925073,0.0006223391,0.002259669,0.00003027593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6631416,0.0006141886,0.2843869,0.0003028002,0.00008525907,0.0005920275,0.000604231,0.001321817,0.04895124],"genre_scores_gemma":[0.9935941,0.00004964273,0.004375678,0.00001025476,0.000003690498,0.00006579309,0.00005864105,0.0000099075,0.001832286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210989,"threshold_uncertainty_score":0.02407885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126257330","doi":"10.1109/epec48502.2020.9320006","title":"Design and Analysis of a Stand-alone DC Hybrid Microgrid for a Rural Base Transceiver Station in Nigeria","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Microgrid; Renewable energy; Base station; Transceiver; Environmental economics; Automotive engineering; Engineering; Electrical engineering; Telecommunications; Wireless; Economics","authors":[{"name":"Cyprian Oton","is_ca":true},{"name":"M. Tariq Iqbal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01523947496237875,"gpt":0.2202073297974894,"spread":0.2049678548351107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422789,0.0004466314,0.0004029303,0.0001975121,0.000456275,0.0007789214,0.0004899526,0.0003463578,0.002316143],"category_scores_gemma":[0.0001314669,0.000226747,0.0002881822,0.0001548999,0.0002398988,0.0002690289,0.0002879518,0.0002041926,0.0002945092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537111,"about_ca_system_score_gemma":0.0006616126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004514983,"about_ca_topic_score_gemma":0.006805942,"domain_scores_codex":[0.999925,0.00001783969,0.000003093447,0.00001535202,0.00002382839,0.00001489792],"domain_scores_gemma":[0.9999433,0.00001154896,0.00001163287,0.000003649124,0.00002014925,0.000009704871],"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":[0.0002824241,0.0001093402,0.003841366,0.0003580813,0.00006511526,0.0009558603,0.0001507404,0.9241217,0.04013465,0.00285352,0.001047875,0.02607938],"study_design_scores_gemma":[0.00003453179,0.0005869534,0.001537022,0.00001979357,0.0000531663,0.0001568015,0.0002211876,0.988807,0.005644385,0.0004560047,0.002470854,0.00001239314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6353875,0.0008192795,0.3105673,0.0003874931,0.00009482369,0.0006015116,0.0002424491,0.0007382839,0.05116124],"genre_scores_gemma":[0.9859839,0.0001705975,0.009580637,0.00001688759,0.000004617034,0.00007527167,0.00003486877,0.0000121384,0.00412113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004514983,"threshold_uncertainty_score":0.008977413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126274075","doi":"10.1109/epec48502.2020.9320034","title":"How to Estimate Temperature Coefficients of Series and Shunt Parameters of Transmission Lines with Sag","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Conductor; Temperature coefficient; Inductance; Electric power transmission; Temperature measurement; Transmission line; Capacitance; Equivalent series resistance; Line (geometry); Electrical conductor; Series (stratigraphy); Materials science; Computer science; Mathematics; Electrical engineering; Engineering; Thermodynamics; Voltage; Physics; Geology","authors":[{"name":"Ali R. Al-Roomi","is_ca":true},{"name":"M.E. El-Hawary","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006191386302908778,"gpt":0.1951791016930216,"spread":0.1889877153901129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005853519,0.001094831,0.00071946,0.001295263,0.0003226268,0.001014221,0.0006488452,0.0006933599,0.001871862],"category_scores_gemma":[0.006108101,0.0004587435,0.0007630301,0.0007386109,0.00037058,0.002368611,0.0004197305,0.001049942,0.002433749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955218,"about_ca_system_score_gemma":0.0005420865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041281,"about_ca_topic_score_gemma":0.003843575,"domain_scores_codex":[0.9995283,0.0001305734,0.00002823044,0.0001644485,0.0001029665,0.00004556194],"domain_scores_gemma":[0.9987776,0.0004380369,0.0001955291,0.0001546974,0.0003928377,0.00004140573],"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":[0.0001864252,0.00009823278,0.01438051,0.0007111824,0.0001786925,0.0001852249,0.0003751715,0.2342532,0.09230387,0.01033739,0.00661038,0.6403797],"study_design_scores_gemma":[0.00002871257,0.0001156185,0.01076236,0.0001598687,0.0001192873,0.0004087334,0.0002782022,0.9063969,0.0562372,0.01626515,0.009092586,0.0001354404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03160143,0.0007331882,0.9646246,0.0001985976,0.00009104965,0.00005710906,0.0002322769,0.0009436138,0.001518088],"genre_scores_gemma":[0.4805875,0.001756157,0.5126488,0.00008408123,0.0001330364,0.000154297,0.00113284,0.0007816822,0.00272157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003041281,"threshold_uncertainty_score":0.006262004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126749856","doi":"10.1109/epec48502.2020.9320111","title":"Performance Evaluation of GMR and TMR Sensors to Estimate Current Phasors in Smart Grids","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Current transformer; Switchgear; Electrical engineering; Electrical conductor; Giant magnetoresistance; Smart grid; Electronic engineering; Magnetoresistance; Computer science; Current sensor; Power transmission; Magnetic field; Transformer; Current (fluid); Power (physics); Engineering; Voltage; Physics","authors":[{"name":"Prasad Shrawane","is_ca":true},{"name":"T.S. Sidhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01798702426707184,"gpt":0.2577856564971953,"spread":0.2397986322301234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079243,0.0005381851,0.0006242314,0.0005615501,0.0002473625,0.0003883346,0.000440559,0.000623216,0.001197159],"category_scores_gemma":[0.002671512,0.0001515557,0.0001815718,0.0002644092,0.0002823338,0.0008770867,0.0003037714,0.0002040146,0.0004950402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002664205,"about_ca_system_score_gemma":0.0001372049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006801228,"about_ca_topic_score_gemma":0.0007082961,"domain_scores_codex":[0.998894,0.0003057399,0.00005167422,0.0001831891,0.0004946763,0.00007075771],"domain_scores_gemma":[0.9985869,0.0005262155,0.0001391346,0.0001883639,0.000499271,0.00006011871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003244742,0.0004570996,0.02135632,0.0006836488,0.0001477926,0.0003554859,0.0006323785,0.04139893,0.7495197,0.001042382,0.00190853,0.179253],"study_design_scores_gemma":[0.00009653399,0.005923892,0.02986747,0.0000449216,0.0001051502,0.0006554734,0.0003711539,0.2031593,0.7551404,0.0003322262,0.00423502,0.00006859989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472521,0.0007076942,0.04644445,0.0002087938,0.00008158963,0.00008908041,0.0002518231,0.001335096,0.00362933],"genre_scores_gemma":[0.9907443,0.0001602723,0.007528643,0.00004571394,0.0000138626,0.00002664457,0.0001123338,0.00003937196,0.001328872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001197159,"threshold_uncertainty_score":0.005707681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126405872","doi":"10.1109/epec48502.2020.9320108","title":"Scenario Selection for Generation Expansion Planning with Demand and Wind Uncertainty","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Cluster analysis; Selection (genetic algorithm); k-means clustering; Computer science; Reliability (semiconductor); Wind power; Investment (military); Duration (music); Capacity planning; Engineering; Artificial intelligence; Power (physics)","authors":[{"name":"Yasaman Mozafari","is_ca":true},{"name":"William Rosehart","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01422866506073,"gpt":0.1999805024973776,"spread":0.1857518374366476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427349,0.0007923556,0.0005053022,0.001078179,0.000364176,0.0006218763,0.0005323354,0.0004455515,0.002328019],"category_scores_gemma":[0.003624295,0.0004402202,0.0005297496,0.001049464,0.0002725644,0.0008215091,0.0004206699,0.0005662067,0.0001759053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007510931,"about_ca_system_score_gemma":0.0008532359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805696,"about_ca_topic_score_gemma":0.004628886,"domain_scores_codex":[0.9991198,0.0006236095,0.00001972322,0.00007125815,0.0001007211,0.00006472196],"domain_scores_gemma":[0.9985008,0.001108175,0.0001045907,0.0000615857,0.0001580354,0.00006667402],"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":[0.0001007629,0.00002360862,0.000659412,0.00002996247,0.00003129353,0.00007494458,0.00002263692,0.9850135,0.0004555906,0.001982901,0.0003654915,0.01123977],"study_design_scores_gemma":[0.00001132126,0.00004471343,0.0003802884,0.000007980779,0.00001008957,0.00002524736,0.00002600911,0.9961255,0.0005804485,0.002471501,0.0003106437,0.000006302596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4679628,0.0006953852,0.518359,0.0004209585,0.00003958837,0.0004199078,0.001156727,0.0005262222,0.01041937],"genre_scores_gemma":[0.9503747,0.0001327951,0.0481878,0.00002162813,0.000006391149,0.000138682,0.0005952938,0.00003917148,0.0005035941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003805696,"threshold_uncertainty_score":0.007787943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126810883","doi":"10.1109/epec48502.2020.9319922","title":"Optimal Coordination of Directional Overcurrent Relays Using BBO when Electromechanical, Static, Digital, and Numerical Relays All Exist","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Relay; Overcurrent; Correctness; Digital protective relay; Computer science; Protective relay; Multiplier (economics); Electric power system; Power (physics); Engineering; Electrical engineering; Voltage; Algorithm","authors":[{"name":"Ali R. Al-Roomi","is_ca":true},{"name":"M.E. El-Hawary","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01772146579804777,"gpt":0.222366200995353,"spread":0.2046447351973052,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006635247,0.001268995,0.001294543,0.0005511341,0.0004704527,0.001312946,0.0005946057,0.0009300006,0.003547584],"category_scores_gemma":[0.002346637,0.0004891029,0.0006073803,0.0006125362,0.0006603896,0.000837449,0.0008324879,0.0009072216,0.0003448021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008219261,"about_ca_system_score_gemma":0.001601727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034466,"about_ca_topic_score_gemma":0.006458399,"domain_scores_codex":[0.9995722,0.0001550955,0.0000190552,0.00009122383,0.0000743278,0.00008799581],"domain_scores_gemma":[0.999318,0.000384407,0.0001183428,0.00003111613,0.00009956782,0.00004862842],"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":[0.00004596057,0.00001528173,0.0002450967,0.00005137953,0.00001480488,0.00004140554,0.0000304402,0.9838935,0.0003900945,0.006273588,0.0005636953,0.008434906],"study_design_scores_gemma":[0.00001862146,0.00002329639,0.00007598884,0.000009178105,0.000008809442,0.00001238966,0.0000204032,0.9958434,0.000215595,0.003197452,0.0005712541,0.00000368251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03318857,0.0006326463,0.9503495,0.0003417468,0.000108383,0.0001068266,0.0001024,0.000280578,0.01488949],"genre_scores_gemma":[0.8339388,0.0004650046,0.1609126,0.0001369708,0.00004101407,0.0001841387,0.0001703202,0.00009762701,0.004053394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034466,"threshold_uncertainty_score":0.02056891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126229228","doi":"10.1109/epec48502.2020.9320126","title":"Robust Integral Sliding Mode Control of Non-minimum Phase DC-DC Converters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Integral sliding mode; Converters; Robustness (evolution); Inductor; Sliding mode control; Computer science; Controller (irrigation); Nonlinear system; Mathematics; Voltage; Engineering; Physics","authors":[{"name":"Youssef El Haj","is_ca":true},{"name":"Ahmed Sheir","is_ca":true},{"name":"Ruth Milman","is_ca":true},{"name":"Vijay K. Sood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01269775794044251,"gpt":0.2163167394424559,"spread":0.2036189815020134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004696863,0.0005265067,0.0005063863,0.000244007,0.0002227162,0.0006810584,0.0007860737,0.0003218956,0.0008028368],"category_scores_gemma":[0.0007579521,0.0001496619,0.0003027355,0.0002291625,0.0003955084,0.0003842727,0.00033582,0.0005624482,0.0001236113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002744607,"about_ca_system_score_gemma":0.0003914679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202176,"about_ca_topic_score_gemma":0.001012171,"domain_scores_codex":[0.9996885,0.0000539808,0.00002513349,0.00006507776,0.0001393686,0.00002796825],"domain_scores_gemma":[0.9997019,0.0001101204,0.00005090768,0.00003855259,0.00008660836,0.00001189693],"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":[0.0006049733,0.0001934474,0.001343589,0.0007842358,0.0001295416,0.000561336,0.0003612881,0.5780341,0.1173389,0.02604676,0.001874091,0.2727278],"study_design_scores_gemma":[0.0000268677,0.0001883462,0.0004291213,0.000009370234,0.0000131668,0.00005167123,0.0000110262,0.9880895,0.008268639,0.001486569,0.001418331,0.000007520798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05336449,0.0005712504,0.9410903,0.00008814045,0.0001589033,0.00004646399,0.00002206943,0.000554215,0.004104161],"genre_scores_gemma":[0.9779504,0.0001963306,0.02009671,0.0000303049,0.00002343234,0.00004091542,0.00002748913,0.00001728339,0.001617221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001202176,"threshold_uncertainty_score":0.002685785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127355168","doi":"10.1109/epec48502.2020.9320082","title":"Modelling Prime Diesel Electric Generator Fuel Consumption across Genset Sizings","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Yukon University","funders":"","keywords":"Diesel generator; Diesel fuel; Prime mover; Sizing; Fuel efficiency; Generator (circuit theory); Automotive engineering; Population; Engineering; Power (physics); Physics; Chemistry","authors":[{"name":"Patrick Giles","is_ca":true},{"name":"Michael Ross","is_ca":true},{"name":"Spencer Sumanik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02274533829615303,"gpt":0.2153661909632841,"spread":0.1926208526671311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413861,0.0006149732,0.0007234452,0.0004168792,0.0002866709,0.0009287949,0.001616447,0.001028564,0.001965293],"category_scores_gemma":[0.004494465,0.0004083062,0.001120402,0.0009047833,0.000497831,0.001070737,0.0006082351,0.0009533959,0.0004627849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202614,"about_ca_system_score_gemma":0.0008699529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07116827,"about_ca_topic_score_gemma":0.05811996,"domain_scores_codex":[0.9993405,0.0002068173,0.00002063288,0.0002669035,0.00008423928,0.00008089594],"domain_scores_gemma":[0.9987512,0.0008041305,0.0001654746,0.0001158798,0.0001296738,0.00003368318],"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":[0.0001229716,0.00007702064,0.02008996,0.0000281269,0.00004725392,0.00008976005,0.0001571946,0.9683263,0.001122232,0.003231008,0.0002814218,0.00642668],"study_design_scores_gemma":[0.00001454711,0.00009323838,0.0150493,0.000005734105,0.00002791166,0.0000340504,0.00009888365,0.9818342,0.0005843756,0.001711882,0.0005302124,0.00001556331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244109,0.0001272798,0.06923229,0.0002554481,0.0000117193,0.0001069365,0.001568452,0.0001693211,0.004117687],"genre_scores_gemma":[0.9856362,0.0001187323,0.007884325,0.00002845003,0.000004472965,0.00009189609,0.001084825,0.00003335825,0.005117725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07116827,"threshold_uncertainty_score":0.141508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126498718","doi":"10.1109/epec48502.2020.9320018","title":"Mitigating Islanded Mode Small Scale Synchronous Generator Mechanical Oscillations Caused by Electrical Arc Furnace","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Electric arc furnace; Generator (circuit theory); Mode (computer interface); Scale (ratio); Electric arc; Arc (geometry); Permanent magnet synchronous generator; Electrical engineering; Automotive engineering; Materials science; Computer science; Mechanical engineering; Power (physics); Engineering; Voltage; Electrode; Metallurgy; Physics","authors":[{"name":"Yashar Kor","is_ca":true},{"name":"Mahdi Davarpanah","is_ca":false},{"name":"Reza Bekhradian","is_ca":false},{"name":"Majid Sanaye‐Pasand","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009167155081961266,"gpt":0.1951978511777242,"spread":0.186030696095763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001909804,0.0004217132,0.0002649482,0.0002408724,0.0001394118,0.0002020624,0.0003095837,0.0002383023,0.000567223],"category_scores_gemma":[0.0006272592,0.00009974276,0.0001435496,0.0001221792,0.0001487134,0.0002698031,0.0002722564,0.0002454778,0.0001113679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138652,"about_ca_system_score_gemma":0.0001289585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006133339,"about_ca_topic_score_gemma":0.001162408,"domain_scores_codex":[0.9999043,0.00002512741,0.000005540644,0.00001714459,0.00003831571,0.000009692812],"domain_scores_gemma":[0.9997281,0.000111798,0.00005293447,0.00003459705,0.0000614694,0.00001101735],"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":[0.0006444806,0.000152648,0.01038222,0.000520846,0.00007926128,0.0007947413,0.0004546157,0.2388292,0.436631,0.002486489,0.001655916,0.3073686],"study_design_scores_gemma":[0.0000339956,0.000756624,0.01189302,0.00003376838,0.00007454739,0.0003533397,0.0001729214,0.8933105,0.08832474,0.001122352,0.003902657,0.00002156704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3892052,0.0003995037,0.6045985,0.000103555,0.00005671719,0.00006869551,0.00004160118,0.001002652,0.004523763],"genre_scores_gemma":[0.9911335,0.0000477854,0.008478506,0.000008017816,0.000006424623,0.000007796648,0.00001094851,0.00001006262,0.0002970369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006133339,"threshold_uncertainty_score":0.001897573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127779673","doi":"10.1109/epec48502.2020.9320040","title":"A Novel Approach to Precisely Calculate Lumped Parameters for Transmission Lines with Sag Using the M-Model Equivalent Circuit","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Transmission line; Admittance; Shunt (medical); Electrical impedance; Equivalent circuit; Electric power transmission; Control theory (sociology); Electronic engineering; Engineering; Voltage; Computer science; Electrical engineering","authors":[{"name":"Ali R. Al-Roomi","is_ca":true},{"name":"M.E. El-Hawary","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0436938994705288,"gpt":0.2291386893562176,"spread":0.1854447898856888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002135918,0.0007096325,0.0003573346,0.0005254887,0.0002312477,0.0005565234,0.0009808728,0.0006482797,0.001729634],"category_scores_gemma":[0.001012743,0.000305452,0.0005007756,0.0004564234,0.0002251979,0.001506096,0.000400299,0.0006967945,0.0006645771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831104,"about_ca_system_score_gemma":0.0003558234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009971586,"about_ca_topic_score_gemma":0.001608253,"domain_scores_codex":[0.9998074,0.00004132725,0.00001304944,0.00003557899,0.00009289821,0.000009808166],"domain_scores_gemma":[0.9997954,0.00005948062,0.0000316254,0.00006015267,0.00004797985,0.000005441941],"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":[0.00009929534,0.0001074796,0.002046708,0.0002438714,0.0000801191,0.0003799702,0.000188883,0.6108571,0.1157881,0.05214981,0.002785005,0.2152736],"study_design_scores_gemma":[0.000009272388,0.00006696256,0.0002770227,0.00001167638,0.00001691283,0.00020041,0.00002225973,0.9717107,0.01364161,0.00555263,0.008473074,0.00001742846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003355346,0.00003345478,0.9947609,0.00002109318,0.00001400198,0.00001479471,0.00003117094,0.0004160701,0.00135322],"genre_scores_gemma":[0.4269849,0.000276667,0.5669659,0.00007666981,0.00004282602,0.0001639306,0.0002373742,0.0002494568,0.005002229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001729634,"threshold_uncertainty_score":0.00578624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126256729","doi":"10.1109/epec48502.2020.9319923","title":"Peak-Load Forecasting of Nova Scotia During Winter Using Support Vector Machine with Optimally Configured Hyperparameters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Hyperparameter; Support vector machine; Nova scotia; Computer science; Local optimum; Process (computing); Machine learning; Artificial intelligence; Hyperparameter optimization; Simple (philosophy); Mathematical optimization; Mathematics","authors":[{"name":"Ali R. Al-Roomi","is_ca":true},{"name":"M.E. El-Hawary","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01901396959480218,"gpt":0.1985271251821307,"spread":0.1795131555873285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001581776,0.0004835604,0.0002376196,0.0005348197,0.0003279102,0.000541842,0.0003688023,0.0002375386,0.0006068806],"category_scores_gemma":[0.0005704805,0.0001264093,0.0002261123,0.0007261941,0.0001557891,0.0001698533,0.0001810288,0.0002643202,0.0001980518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451989,"about_ca_system_score_gemma":0.002229164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7990551,"about_ca_topic_score_gemma":0.828744,"domain_scores_codex":[0.9999331,0.000007335516,0.000003225278,0.00001548194,0.00002195935,0.00001889389],"domain_scores_gemma":[0.9998128,0.00003764305,0.00002474714,0.000009446109,0.00009402022,0.00002138238],"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":[0.0007334572,0.0001384699,0.2620788,0.000146084,0.0001125265,0.001269229,0.0002840343,0.6403228,0.01073135,0.001072654,0.01211767,0.07099295],"study_design_scores_gemma":[0.00001544739,0.000019749,0.06831022,0.00001495477,0.00001455858,0.00002589078,0.0002099394,0.9285617,0.001605088,0.0001684701,0.001038111,0.00001594128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881612,0.0002016133,0.00414965,0.0002119266,0.00003490827,0.00002562688,0.002042495,0.0003098814,0.004862739],"genre_scores_gemma":[0.9949877,0.00006998743,0.002221856,0.00001431831,0.000004697933,0.000007767508,0.00117526,0.00001528143,0.001503096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7990551,"threshold_uncertainty_score":0.4042566,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127719447","doi":"10.1109/epec48502.2020.9320016","title":"Dual use solar surfaces for local grids and net zero development","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Morgan Solar (Canada)","funders":"","keywords":"Photovoltaics; Software deployment; Misappropriation; Solar power; Solar energy; Environmental science; Zero-energy building; Real estate; Environmental economics; Architectural engineering; Computer science; Telecommunications; Electrical engineering; Engineering; Business; Photovoltaic system; Power (physics); Economics; Physics; Finance","authors":[{"name":"Andrew Csinger","is_ca":true},{"name":"Douglas Matthews","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01398549903093353,"gpt":0.2013357832038489,"spread":0.1873502841729154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052421,0.0002225343,0.00009898929,0.000264638,0.0005435059,0.001745953,0.000372632,0.000373589,0.01951866],"category_scores_gemma":[0.0005304018,0.00007550848,0.0001114761,0.0003766921,0.0007476848,0.001510127,0.002149331,0.000623914,0.002898711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007371848,"about_ca_system_score_gemma":0.0006012371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003247,"about_ca_topic_score_gemma":0.003463715,"domain_scores_codex":[0.999815,0.00006378678,0.00000273346,0.00001578739,0.00006936381,0.00003324619],"domain_scores_gemma":[0.9998179,0.00003072689,0.00001384272,0.00004692366,0.00005109579,0.0000394724],"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":[0.0001576928,0.00009567499,0.003866766,0.0003131165,0.00001014275,0.0004488328,0.001163205,0.007825417,0.008633547,0.4250748,0.06455212,0.4878588],"study_design_scores_gemma":[0.00002859208,0.0002442437,0.003240566,0.0001713599,0.00001039488,0.0005495184,0.002597535,0.01044819,0.007315766,0.1195847,0.85578,0.00002918823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09325413,0.003031803,0.05737174,0.01102557,0.0006332531,0.00007793619,0.0002381631,0.001282438,0.833085],"genre_scores_gemma":[0.8658394,0.001843833,0.02326785,0.0004460764,0.0001160506,0.0000596362,0.0001642635,0.0002093988,0.1080536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01951866,"threshold_uncertainty_score":0.06529635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128819102","doi":"10.1109/epec48502.2020.9320076","title":"State-Space Dynamic Model of Unified MMC Structure for Hybrid AC/DC Grids","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Harmonics; Converters; Network topology; Computer science; DC bias; Power (physics); Topology (electrical circuits); Control theory (sociology); Process (computing); State space; Electronic engineering; Engineering; Voltage; Physics; Electrical engineering; Mathematics","authors":[{"name":"Abraham Rojas Tarango","is_ca":true},{"name":"Gregory J. Kish","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009437244160540821,"gpt":0.1970781521924681,"spread":0.1876409080319273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002040288,0.0004476206,0.0005256763,0.0003183551,0.0004452184,0.001181835,0.0009955723,0.0007887663,0.005270333],"category_scores_gemma":[0.0003150282,0.0002212305,0.0004154904,0.0003669412,0.0005285434,0.0007857236,0.0004161599,0.0007663111,0.0008426845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007318241,"about_ca_system_score_gemma":0.000710342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009477527,"about_ca_topic_score_gemma":0.0058136,"domain_scores_codex":[0.9998852,0.00002721942,0.000005303079,0.00002340011,0.00004634089,0.00001254155],"domain_scores_gemma":[0.9998862,0.00002885477,0.00001639245,0.00002012235,0.00004261508,0.00000574463],"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":[0.0000291417,0.00001205067,0.0002571995,0.00003884535,0.00001133962,0.0000677221,0.00004175757,0.9728076,0.001983614,0.0182981,0.0006983953,0.005754225],"study_design_scores_gemma":[0.000004072278,0.00001202811,0.00007362022,0.0000041659,0.000003034613,0.00001056254,0.000006442619,0.996689,0.0003690614,0.001614442,0.001210684,0.000002898244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05153467,0.0002554662,0.9016555,0.0003133714,0.00008206401,0.0001302823,0.0008320439,0.001493296,0.04370327],"genre_scores_gemma":[0.9554195,0.0002072083,0.02858859,0.00008389995,0.0000293148,0.0002561335,0.0005247567,0.00009903609,0.01479163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009477527,"threshold_uncertainty_score":0.01884472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126865356","doi":"10.1109/epec48502.2020.9320028","title":"Cost Optimized Load Allocation for Dual Radial Customers","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Optimal Power Flow Distribution","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":"Hydro One (Canada)","funders":"","keywords":"Switchgear; Computer science; Transformer; Capital cost; Dual (grammatical number); Reliability engineering; Electrical engineering; Engineering; Voltage","authors":[{"name":"Matthew Victor Yee","is_ca":true},{"name":"Vinson Kan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01609875064933176,"gpt":0.22035055931887,"spread":0.2042518086695383,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006283757,0.001078648,0.001239315,0.0006834333,0.0003932036,0.001237515,0.001156931,0.001101848,0.008487899],"category_scores_gemma":[0.001318895,0.0006132834,0.0004529138,0.000747704,0.000520999,0.0009959945,0.0009997917,0.0008407503,0.0008019414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490015,"about_ca_system_score_gemma":0.0008628076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00377934,"about_ca_topic_score_gemma":0.004339977,"domain_scores_codex":[0.9995659,0.0001606739,0.00001094181,0.00006516373,0.00006742623,0.000129813],"domain_scores_gemma":[0.9996307,0.0001790992,0.00004736872,0.00002059901,0.00006317977,0.00005898546],"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":[0.0002103991,0.00009034819,0.0002363531,0.00003578085,0.00001603486,0.00006228175,0.00002725911,0.9763029,0.001224281,0.005893333,0.001508507,0.01439265],"study_design_scores_gemma":[0.00001479275,0.00003710544,0.0000935955,0.000002846117,0.000004464105,0.00001208656,0.00002102163,0.9971214,0.0002091909,0.002165909,0.0003138262,0.000003819878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2130359,0.0004943004,0.747404,0.0008160423,0.00009304129,0.0002362568,0.0003200256,0.0004395884,0.03716092],"genre_scores_gemma":[0.9409505,0.0001398486,0.04889205,0.00008954607,0.00002827159,0.0001123582,0.0001177194,0.00009490667,0.009574782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008487899,"threshold_uncertainty_score":0.02839488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126877433","doi":"10.1109/epec48502.2020.9320037","title":"Review of Protection Strategies for Wind Turbines Against Lightning","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Wind power; Offshore wind power; Lightning (connector); Turbine; Marine engineering; Lightning strike; Computer science; Environmental science; Engineering; Meteorology; Electrical engineering; Aerospace engineering; Lightning arrester; Power (physics); Geography","authors":[{"name":"Choudhury Naser Alam","is_ca":true},{"name":"Vijay K. Sood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01473297342688811,"gpt":0.2197763754029974,"spread":0.2050434019761093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004347592,0.000831871,0.001034834,0.001838075,0.0003072263,0.0009313897,0.0009358904,0.0009415648,0.004673141],"category_scores_gemma":[0.0008147808,0.0003139701,0.0005926043,0.001695553,0.0002388551,0.001396959,0.0003642422,0.0006534674,0.001864695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000358657,"about_ca_system_score_gemma":0.001005941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009431932,"about_ca_topic_score_gemma":0.001291277,"domain_scores_codex":[0.9997881,0.00003399959,0.00004675814,0.00003995052,0.00007396184,0.00001718994],"domain_scores_gemma":[0.9995139,0.0002202793,0.00007760982,0.00001397157,0.0001533544,0.00002095642],"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":[0.0001144823,0.00007795943,0.0002351371,0.05653506,0.0001871545,0.0002896407,0.0001138708,0.001821181,0.005128236,0.006446706,0.02779435,0.9012563],"study_design_scores_gemma":[0.00001731434,0.000238568,0.001178431,0.01216637,0.0003577839,0.001137583,0.0001137555,0.0004940105,0.001845247,0.003134873,0.9792829,0.00003304286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004716163,0.9947916,0.001083371,0.0003041635,0.0003547101,0.00001437475,0.00005399604,0.00001476964,0.002911418],"genre_scores_gemma":[0.003174937,0.9941489,0.0009647246,0.0002098658,0.0002765496,0.00001338825,0.00009655903,0.00000457749,0.001110651],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004673141,"threshold_uncertainty_score":0.01563323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128034761","doi":"10.1109/epec48502.2020.9319910","title":"An Analysis and Protection Scheme to Prevent Loss of Coordination due to Microgrid Contributions: Part I – Short Circuit Predictions","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power Systems Fault Detection","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":"University of Saskatchewan","funders":"","keywords":"Microgrid; Fault (geology); Computer science; Short circuit; Scheme (mathematics); Emtp; Electronic engineering; Control theory (sociology); Engineering; Reliability engineering; Electrical engineering; Renewable energy; Voltage; Mathematics; Power (physics); Electric power system","authors":[{"name":"Keaton A. Wheeler","is_ca":true},{"name":"S.O. Faried","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00942185912539755,"gpt":0.2195938686822705,"spread":0.2101720095568729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005844696,0.0007719814,0.0004387105,0.00034959,0.0003214617,0.0004469067,0.0007432675,0.0003525446,0.001636003],"category_scores_gemma":[0.001705892,0.0002303784,0.0003928791,0.0002066925,0.0002575554,0.0007374057,0.000510334,0.0009132174,0.0004103626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111553,"about_ca_system_score_gemma":0.0008207322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348508,"about_ca_topic_score_gemma":0.003692304,"domain_scores_codex":[0.999744,0.00005140148,0.00001617017,0.00007518999,0.00008546819,0.00002769096],"domain_scores_gemma":[0.9994985,0.0001421046,0.0000979018,0.0001084953,0.0001370032,0.00001598939],"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":[0.0001711061,0.000112412,0.002851987,0.00009700291,0.00005444148,0.0001238562,0.0001291101,0.6861876,0.04238829,0.005412813,0.001273369,0.2611979],"study_design_scores_gemma":[0.000005813197,0.00007290275,0.0006541488,0.000003709435,0.000009271708,0.00002924218,0.000007239617,0.99268,0.005429076,0.0005457631,0.0005577607,0.000005198765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03233904,0.00004961097,0.9653646,0.0000902092,0.00001641297,0.00004496114,0.00004704299,0.00115918,0.0008890153],"genre_scores_gemma":[0.8351786,0.0001009073,0.1620986,0.00003567368,0.00003009488,0.0000478107,0.0001404494,0.0000774878,0.002290426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00348508,"threshold_uncertainty_score":0.006929576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126612748","doi":"10.1109/epec48502.2020.9320086","title":"BC Hydro’s Methodology for Distribution Technical Loss Estimation using Smart Technologies","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Electricity Theft Detection Techniques","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":"BC Hydro (Canada)","funders":"","keywords":"Metering mode; SCADA; Distribution (mathematics); Computer science; Estimation; Reliability engineering; Engineering; Systems engineering; Mathematics; Electrical engineering; Mechanical engineering","authors":[{"name":"Jae Sung Park","is_ca":true},{"name":"Alice Cheung","is_ca":true},{"name":"James A. Profitt","is_ca":true},{"name":"Parvir Girn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03253042674906303,"gpt":0.2609126602150811,"spread":0.228382233466018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065203,0.0007805668,0.000484576,0.002425477,0.000909107,0.0009895944,0.001055234,0.0005009624,0.006322735],"category_scores_gemma":[0.004080141,0.0003949676,0.0005470593,0.001932812,0.0006456382,0.0009980757,0.0009222474,0.001158412,0.002584763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088881,"about_ca_system_score_gemma":0.002366034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401451,"about_ca_topic_score_gemma":0.01584179,"domain_scores_codex":[0.998166,0.0002089156,0.00005443749,0.0001948359,0.001301407,0.00007451573],"domain_scores_gemma":[0.9990114,0.0002264554,0.0001250908,0.0001729968,0.0004394962,0.00002462564],"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":[0.00007182373,0.00007912893,0.003082119,0.0002531006,0.00008711907,0.0001280101,0.0002009427,0.1367738,0.01997375,0.07403116,0.02396769,0.7413513],"study_design_scores_gemma":[0.00003259072,0.00007010499,0.003550941,0.00006751403,0.00003038293,0.0004559469,0.00007741378,0.8474572,0.02563048,0.02469047,0.09787262,0.00006436694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00198696,0.00008239792,0.990867,0.00007217185,0.00006275214,0.00008853826,0.0002151628,0.001284176,0.005340727],"genre_scores_gemma":[0.07590461,0.0002143992,0.9071469,0.0001247308,0.00006129801,0.0003246205,0.0006218751,0.0005842405,0.01501735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01401451,"threshold_uncertainty_score":0.02786589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128218187","doi":"10.1109/epec48502.2020.9319924","title":"The Impact of Cybersecurity on Siting Distributed Generation Units in AC Power Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","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":true},"ca_institutions":"University of Regina","funders":"","keywords":"Computer security; Vulnerability (computing); Computer science; Grid; Electric power system; Smart grid; Cyber-attack; Power grid; Vulnerability assessment; Critical infrastructure; Power (physics); Constraint (computer-aided design); Engineering; Electrical engineering","authors":[{"name":"Jay Nayak","is_ca":true},{"name":"Irfan Al‐Anbagi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01471270885361793,"gpt":0.2137025389514329,"spread":0.198989830097815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000729407,0.0005711222,0.0003168873,0.0005753962,0.0005696117,0.000926828,0.0004399998,0.0004382833,0.001540906],"category_scores_gemma":[0.003565792,0.0002290184,0.0003033315,0.0006125984,0.001139652,0.001628836,0.0007132646,0.0006373067,0.00009634281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054581,"about_ca_system_score_gemma":0.0009826233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03156851,"about_ca_topic_score_gemma":0.04453885,"domain_scores_codex":[0.9994554,0.0001844565,0.00002153301,0.00005845972,0.0001583131,0.0001217866],"domain_scores_gemma":[0.9962547,0.002342852,0.0005070788,0.0003317446,0.0004071917,0.0001563602],"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":[0.0001369773,0.00005865102,0.01614409,0.00003913892,0.00003988237,0.0003252903,0.00007951626,0.9604089,0.005589498,0.003047112,0.0002300763,0.01390087],"study_design_scores_gemma":[0.00001249956,0.0002241028,0.01395932,0.00001603898,0.00003822195,0.000145086,0.0004258423,0.9771821,0.00443256,0.003278349,0.000268255,0.0000176587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645743,0.0001809693,0.02835658,0.0002143159,0.00001645575,0.00003478429,0.00006872587,0.000118991,0.006434807],"genre_scores_gemma":[0.9981177,0.00004689155,0.001567358,0.00000933952,0.000001162691,0.00000309919,0.0000129534,0.000004352415,0.0002371468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03156851,"threshold_uncertainty_score":0.06276947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128836914","doi":"10.1109/epec48502.2020.9320087","title":"An Analysis and Protection Scheme to Prevent Loss of Coordination due to Microgrid Contributions: Part II – Optimization and Mitigation","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Islanding Detection in Power Systems","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":"University of Saskatchewan","funders":"","keywords":"Microgrid; Overcurrent; Partial element equivalent circuit; Fault (geology); Computer science; Particle swarm optimization; Recloser; Distributed generation; Ampacity; Scheme (mathematics); Grid; Engineering; Reliability engineering; Circuit breaker; Equivalent circuit; Electrical engineering; Renewable energy; Current (fluid); Algorithm; Electrical conductor","authors":[{"name":"Keaton A. Wheeler","is_ca":true},{"name":"S.O. Faried","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005339647434201158,"gpt":0.2025878517329035,"spread":0.1972482042987024,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004185221,0.0005595797,0.0003659786,0.0002189881,0.0002006467,0.0004473589,0.0005686236,0.000375176,0.001395968],"category_scores_gemma":[0.0006902473,0.0001737014,0.0003465652,0.0001557823,0.0002824679,0.0006520642,0.0004836748,0.0005042696,0.0002909878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122572,"about_ca_system_score_gemma":0.0004943273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098666,"about_ca_topic_score_gemma":0.001324324,"domain_scores_codex":[0.9997988,0.00004579245,0.00001047605,0.00005757305,0.00006619878,0.00002118652],"domain_scores_gemma":[0.9998183,0.00004174807,0.0000451844,0.00003971536,0.00004590493,0.000009196619],"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":[0.00008174829,0.00006668933,0.0006654953,0.0001048074,0.00004205025,0.00005609489,0.00006587926,0.8329898,0.03472529,0.01146822,0.0008017203,0.1189323],"study_design_scores_gemma":[0.000007788571,0.0001206223,0.0002993838,0.000004143352,0.00001171033,0.0000283514,0.000007544508,0.9937223,0.003490909,0.001180245,0.001123043,0.000003917998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02263417,0.0001032785,0.9742156,0.0001160003,0.00001787232,0.00003971282,0.00002065042,0.0003410224,0.00251175],"genre_scores_gemma":[0.8541752,0.0001626278,0.1425342,0.00004809443,0.00003236423,0.00004508567,0.0000507083,0.00004519773,0.002906635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001395968,"threshold_uncertainty_score":0.004669964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}