{"meta":{"query_hash":"814d236fc1ca","filters":{"venue":"Journal of Electrical Engineering and Technology"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/814d236fc1ca","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Electrical+Engineering+and+Technology"},"results":[{"id":"W2039696080","doi":"10.5370/jeet.2010.5.1.129","title":"Fuzzy Logic Speed Control Stability Improvement of Lightweight Electric Vehicle Drive","year":2010,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Innovation and Economic Development Trois Rivières","funders":"","keywords":"Control theory (sociology); Electric vehicle; Electronic differential; Engineering; Electronic speed control; Traction control system; Robustness (evolution); Vector control; Fuzzy logic; Fuzzy control system; Automotive engineering; Overshoot (microwave communication); MATLAB; Control system; Control engineering; Induction motor; Computer science; Control (management); Steering wheel; Voltage; Artificial intelligence","score_opus":0.0030384127823080923,"score_gpt":0.17652452386540107,"score_spread":0.17348611108309298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039696080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25492278,0.0004583368,0.72823054,0.00018305337,0.000100781326,0.00004968184,0.00004029141,0.0009306572,0.015083887],"genre_scores_gemma":[0.9910649,0.000049476475,0.0074787093,0.000015695136,0.00000886299,0.000010055179,0.000015662,0.000006175245,0.0013505308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998925,0.000014019517,0.0000061867304,0.000017845647,0.00005859571,0.000010777817],"domain_scores_gemma":[0.9998859,0.000029261351,0.000022041098,0.000009099596,0.00004870192,0.0000049131354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016668568,0.00019005746,0.00013993411,0.00017403133,0.00015253341,0.00032245528,0.0002056073,0.00015103488,0.00095863285],"category_scores_gemma":[0.00040367467,0.000060093014,0.00010103451,0.00010333539,0.00011841092,0.00013082405,0.0001224,0.00017088452,0.00012383673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006250841,0.00016349442,0.0016578165,0.00024347684,0.000041358446,0.0002440948,0.00020038176,0.38654688,0.23146409,0.010464334,0.0021475172,0.36620143],"study_design_scores_gemma":[0.000027077669,0.00019056544,0.0011498872,0.0000074301856,0.000011616876,0.000045019766,0.000015261565,0.9784506,0.01730892,0.001132089,0.0016536346,0.000007857343],"about_ca_topic_score_codex":0.0020904406,"about_ca_topic_score_gemma":0.0016011823,"teacher_disagreement_score":0.0020904406,"about_ca_system_score_codex":0.00027797767,"about_ca_system_score_gemma":0.00020575809,"threshold_uncertainty_score":0.0041565895},"labels":[],"label_agreement":null},{"id":"W2118622102","doi":"10.5370/jeet.2010.5.1.061","title":"Modeling and Control of a Doubly-Fed Induction Generator (DFIG) Wind Power Generation System for Real-time Simulations","year":2010,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Stator; Control theory (sociology); Real-time simulation; Vector control; Real Time Digital Simulator; Wind power; Induction generator; Anemometer; Rotor (electric); Converters; Engineering; Wind speed; Power (physics); Computer science; Electric power system; Induction motor; Simulation; Voltage; Control (management); Electrical engineering; Physics","score_opus":0.00526155625873189,"score_gpt":0.19926154355430167,"score_spread":0.19399998729556978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118622102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04218656,0.0004912535,0.9338225,0.00020589094,0.00009768955,0.00015658488,0.00020200919,0.0010497834,0.021787697],"genre_scores_gemma":[0.9376351,0.000693658,0.050833564,0.000044890243,0.00004043477,0.00040201898,0.00019487833,0.00008382868,0.010071584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998331,0.000047017904,0.000009393649,0.000022790646,0.00007125001,0.000016391334],"domain_scores_gemma":[0.9998902,0.00003568262,0.000021075968,0.000012334464,0.00003326389,0.000007357354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024610633,0.00064473395,0.00052243244,0.00024464485,0.00038930777,0.00091634033,0.00076006737,0.0007536307,0.0027751457],"category_scores_gemma":[0.00036369127,0.0002430787,0.00043542488,0.0002430328,0.0003454957,0.0006035063,0.00032475987,0.00056630734,0.00055905804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003630048,0.000022208858,0.0002468868,0.000060699283,0.000012249641,0.00010891812,0.00005388635,0.97993934,0.0052403742,0.006319163,0.00039686626,0.0075630588],"study_design_scores_gemma":[0.0000068699865,0.000022294258,0.000096130556,0.0000045265892,0.0000045163265,0.000012607505,0.000004935282,0.9978435,0.0005151041,0.0005617436,0.00092514086,0.0000026123644],"about_ca_topic_score_codex":0.004837727,"about_ca_topic_score_gemma":0.0029839126,"teacher_disagreement_score":0.004837727,"about_ca_system_score_codex":0.00037739932,"about_ca_system_score_gemma":0.00054571603,"threshold_uncertainty_score":0.009619117},"labels":[],"label_agreement":null},{"id":"W2131414626","doi":"10.5370/jeet.2011.6.1.059","title":"Backstepping Control for Multi-Machine Web Winding System","year":2011,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Backstepping; Overshoot (microwave communication); Control theory (sociology); MATLAB; Traction (geology); Control engineering; Process (computing); Engineering; Control (management); Computer science; Adaptive control; Mechanical engineering","score_opus":0.007802113816065087,"score_gpt":0.19172711054681357,"score_spread":0.1839249967307485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131414626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07881039,0.00023807176,0.91491485,0.000087057335,0.00007368342,0.00006818522,0.00002863185,0.00054661004,0.0052325292],"genre_scores_gemma":[0.97747964,0.00008768856,0.019914098,0.000023790064,0.00000917201,0.000073831245,0.00002188018,0.00001062696,0.0023792493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997818,0.000049547132,0.000013409231,0.00004611167,0.000085781154,0.000023338567],"domain_scores_gemma":[0.99976856,0.00009478037,0.000039819803,0.000022086317,0.000060331506,0.000014503386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003469801,0.00046047813,0.0004174978,0.00022485243,0.0002826319,0.00049664604,0.00057982083,0.0005590453,0.001856679],"category_scores_gemma":[0.0006186253,0.00014616219,0.00029427963,0.00015767124,0.0004477798,0.00029034904,0.00041419172,0.0004098772,0.00019885578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017265709,0.00008977052,0.00050827774,0.00020007782,0.000035661178,0.0003172621,0.00015916477,0.9250532,0.027526673,0.0062286924,0.00040522794,0.039303385],"study_design_scores_gemma":[0.000014501828,0.000096525975,0.00010784735,0.000003708453,0.0000035838036,0.00001622663,0.0000043385207,0.9975393,0.001515311,0.00037850777,0.00031642432,0.000003728795],"about_ca_topic_score_codex":0.0030865006,"about_ca_topic_score_gemma":0.0018751179,"teacher_disagreement_score":0.0030865006,"about_ca_system_score_codex":0.000301792,"about_ca_system_score_gemma":0.00031176637,"threshold_uncertainty_score":0.006211221},"labels":[],"label_agreement":null},{"id":"W2162935251","doi":"10.5370/jeet.2015.10.4.1400","title":"Coordinated Voltage-Reactive Power Control Schemes Based on PMU Measurement at Automated Substations","year":2015,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; AC power; Voltage; Electric power system; Voltage regulation; Control theory (sociology); Control (management); Power (physics); Control engineering; Computer science; Electrical engineering","score_opus":0.008527756660127768,"score_gpt":0.2019402716366703,"score_spread":0.19341251497654255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162935251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068941966,0.0001919678,0.9239134,0.00006765537,0.0000491917,0.00010706354,0.000055868375,0.0011926574,0.0054802205],"genre_scores_gemma":[0.9651765,0.0000356115,0.034130674,0.000013318778,0.0000196318,0.00006151327,0.000019164212,0.0000151660115,0.00052839756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948525,0.0001283117,0.00002552867,0.000150488,0.00017435834,0.000036138586],"domain_scores_gemma":[0.99954164,0.000117365504,0.0001332124,0.00007759518,0.00010926844,0.0000210033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035183484,0.0006035966,0.00044972383,0.00038371386,0.0002913948,0.00069767266,0.00074444315,0.00024781152,0.0009343001],"category_scores_gemma":[0.00084921083,0.00017158824,0.00017037202,0.00033092446,0.0003576565,0.00039713416,0.00035018547,0.000432468,0.00018242383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043213787,0.00025384058,0.004283554,0.00019853294,0.00012460026,0.0001303784,0.00027051615,0.4698926,0.06715399,0.013735202,0.0016418513,0.44188273],"study_design_scores_gemma":[0.00008133385,0.000395997,0.0028763919,0.000014745457,0.000041381085,0.000071322014,0.00003112588,0.974627,0.016468097,0.0027177283,0.002652459,0.000022332024],"about_ca_topic_score_codex":0.004610666,"about_ca_topic_score_gemma":0.005850349,"teacher_disagreement_score":0.004610666,"about_ca_system_score_codex":0.0005010503,"about_ca_system_score_gemma":0.0005636563,"threshold_uncertainty_score":0.009167612},"labels":[],"label_agreement":null},{"id":"W2409149975","doi":"10.5370/jeet.2016.11.3.741","title":"A Sufficient Condition for the Feedback Quasilinearization of Control Mechanical Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Hallym University","keywords":"Control theory (sociology); Feedback control; Mechanical system; Control (management); Control engineering; Control system; Computer science; Engineering; Mathematics; Artificial intelligence","score_opus":0.002859815334084928,"score_gpt":0.17805115827565252,"score_spread":0.17519134294156757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409149975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05799209,0.0005645655,0.90492076,0.0028198492,0.00085334125,0.00037466158,0.00088298455,0.0021402175,0.029451603],"genre_scores_gemma":[0.96548504,0.00035548653,0.02691635,0.0007629246,0.00036697517,0.0005746094,0.0005377385,0.00022425492,0.0047767195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977157,0.0002818716,0.00024598316,0.000571959,0.00072254083,0.0004620245],"domain_scores_gemma":[0.9920678,0.003059424,0.0008674921,0.0006161554,0.0029455028,0.00044363545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016524043,0.0013150383,0.0013829106,0.0011985701,0.0014104673,0.0020726318,0.0012587568,0.0024809395,0.016972164],"category_scores_gemma":[0.006570708,0.0008281285,0.0014989981,0.00046830974,0.0020224883,0.0030255988,0.0023435615,0.0040314915,0.0022482388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069696875,0.00066072185,0.002593933,0.0015824881,0.0002446315,0.0035572685,0.0017131765,0.05967976,0.4309804,0.4512589,0.014999488,0.032032184],"study_design_scores_gemma":[0.0005955944,0.0010909977,0.004349644,0.00032955396,0.00014477568,0.0014158937,0.0006750385,0.56306595,0.1366274,0.2721233,0.019327039,0.00025471687],"about_ca_topic_score_codex":0.002178673,"about_ca_topic_score_gemma":0.0013388628,"teacher_disagreement_score":0.016972164,"about_ca_system_score_codex":0.0009222716,"about_ca_system_score_gemma":0.0023236412,"threshold_uncertainty_score":0.056777537},"labels":[],"label_agreement":null},{"id":"W2998878989","doi":"10.1007/s42835-020-00346-4","title":"A Framework of Using Machine Learning Approaches for Short-Term Solar Power Forecasting","year":2020,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Feature selection; Machine learning; Artificial intelligence; Random forest; Computer science; Artificial neural network; Solar power; Gradient boosting; Feature (linguistics); Ensemble learning; Term (time); Data mining; Power (physics)","score_opus":0.029972432061908017,"score_gpt":0.21570555012344209,"score_spread":0.18573311806153406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998878989","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024449495,0.00031266443,0.99563146,0.00016640866,0.000045320077,0.000017001337,0.000043339973,0.0001296264,0.0012092653],"genre_scores_gemma":[0.30898085,0.0014851836,0.68405885,0.00013295481,0.00032332173,0.0002449601,0.00035200006,0.000104617815,0.004317268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934596,0.0002780295,0.00004803064,0.00012439146,0.00015867785,0.000044942433],"domain_scores_gemma":[0.99894506,0.0005947982,0.000083368315,0.00010979657,0.00022341029,0.00004364217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020021182,0.0006477618,0.00092229963,0.0010563476,0.0005741045,0.0018642081,0.0019272197,0.0012206527,0.0017922806],"category_scores_gemma":[0.004301172,0.0003964395,0.00093896326,0.0016315473,0.000651038,0.0017497736,0.0012459524,0.0013615392,0.000570515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053043153,0.000113890914,0.0010681883,0.000097705146,0.00015989991,0.00011609248,0.00009815642,0.71328455,0.0016988149,0.16859512,0.0019427043,0.11277178],"study_design_scores_gemma":[0.0000036297636,0.000010391253,0.00007535846,0.000008272155,0.000009209003,0.000009050629,0.000005790519,0.9753981,0.00016212469,0.023299392,0.0010124717,0.000006281564],"about_ca_topic_score_codex":0.009949411,"about_ca_topic_score_gemma":0.007617341,"teacher_disagreement_score":0.009949411,"about_ca_system_score_codex":0.0006838894,"about_ca_system_score_gemma":0.0012414887,"threshold_uncertainty_score":0.01978302},"labels":[],"label_agreement":null},{"id":"W3081908113","doi":"10.1007/s42835-020-00529-z","title":"IoT-Based Intelligent Residential Kitchen Fire Prevention System","year":2020,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Stove; Computer science; Computer security; Electricity; Android (operating system); Embedded system; Computer network; Telecommunications; Engineering; Operating system; Electrical engineering","score_opus":0.00623088338927568,"score_gpt":0.18556880218778027,"score_spread":0.17933791879850458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081908113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47163406,0.0019598627,0.43450382,0.0008629542,0.0014138796,0.00054696936,0.0022656433,0.030293686,0.056519073],"genre_scores_gemma":[0.97545415,0.00020382777,0.015237044,0.00032931214,0.000086491746,0.00013259114,0.0007460604,0.00007101555,0.0077394405],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975234,0.00002646337,0.000021729827,0.000064661785,0.00008888673,0.000045930105],"domain_scores_gemma":[0.99979824,0.000026140655,0.000027988719,0.000031867086,0.000082546576,0.00003319947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688811,0.00058254146,0.00077398063,0.0006184339,0.00047563005,0.00046063354,0.0010455343,0.00054217724,0.0044306363],"category_scores_gemma":[0.00023325281,0.00023344479,0.00037658258,0.00040891598,0.00013335183,0.0006541107,0.000697119,0.00032182474,0.0014345674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043615587,0.0018961619,0.03354327,0.001051114,0.00040589212,0.0027009512,0.00041340097,0.06246969,0.2335767,0.0042984933,0.061982848,0.5932999],"study_design_scores_gemma":[0.00031216227,0.0011840173,0.033469472,0.0001158481,0.00043921883,0.0017165865,0.0003239755,0.8516572,0.07883492,0.0032211994,0.02855213,0.00017330544],"about_ca_topic_score_codex":0.0010943329,"about_ca_topic_score_gemma":0.0015528115,"teacher_disagreement_score":0.0044306363,"about_ca_system_score_codex":0.00026827303,"about_ca_system_score_gemma":0.00032882873,"threshold_uncertainty_score":0.014821887},"labels":[],"label_agreement":null},{"id":"W3168033426","doi":"10.1007/s42835-021-00796-4","title":"Rooted Tree Optimization Algorithm to Improve DTC Response of DFIM","year":2021,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); PID controller; Robustness (evolution); Settling time; Overshoot (microwave communication); Torque; Stator; Computer science; Step response; Control engineering; Engineering; Control (management); Temperature control","score_opus":0.0023189026527213196,"score_gpt":0.1798648738770955,"score_spread":0.17754597122437416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168033426","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026650965,0.00019404753,0.96689916,0.00010202773,0.00007687412,0.000035366764,0.00008152292,0.0011990563,0.0047610956],"genre_scores_gemma":[0.61092466,0.00013478534,0.3809893,0.00013325812,0.000039189512,0.00011217264,0.00039979912,0.00028858375,0.0069781886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998603,0.000024434534,0.0000070489327,0.000030521474,0.00004801134,0.00002969365],"domain_scores_gemma":[0.9997992,0.000074304706,0.00001426083,0.000016230204,0.00008323431,0.0000128144875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018889486,0.00044872475,0.00055416895,0.00041204545,0.00037694126,0.0003106428,0.0005406979,0.0005690519,0.004615731],"category_scores_gemma":[0.0006652317,0.00014339012,0.00030351896,0.00041572854,0.00014782578,0.0003469298,0.000330502,0.0005098024,0.0007065052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025598082,0.00014237304,0.0006107504,0.00009475382,0.000029338591,0.00007982002,0.00008145149,0.64798677,0.023955578,0.0063915574,0.0060161487,0.3143555],"study_design_scores_gemma":[0.0000050938224,0.000021270766,0.000058644273,0.0000018580782,0.0000026270334,0.0000075961384,0.0000055659298,0.9977937,0.0011058141,0.00042035102,0.000575582,0.0000019084735],"about_ca_topic_score_codex":0.0058159195,"about_ca_topic_score_gemma":0.0054562,"teacher_disagreement_score":0.0058159195,"about_ca_system_score_codex":0.00035060264,"about_ca_system_score_gemma":0.00080760865,"threshold_uncertainty_score":0.01544112},"labels":[],"label_agreement":null},{"id":"W4220665782","doi":"10.1007/s42835-022-01044-z","title":"An Algorithm to Enhance the Profit Margin of Electric Vehicle Owners and Resilience of Multi-microgrid Using EV","year":2022,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Korea Electrotechnology Research Institute","keywords":"Microgrid; Upgrade; Energy storage; Energy management system; Energy management; Grid; Bidding; Energy supply; Renewable energy; Reliability engineering; Computer science; Automotive engineering; Environmental economics; Energy (signal processing); Engineering; Business; Electrical engineering; Economics; Operating system","score_opus":0.003146040946685377,"score_gpt":0.21740699623053922,"score_spread":0.21426095528385383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220665782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23112194,0.00049771596,0.7591283,0.00045448128,0.0001550149,0.00016654463,0.000104837134,0.0006855794,0.0076857107],"genre_scores_gemma":[0.9473791,0.00006831658,0.050179508,0.00006036465,0.000023634382,0.00006601709,0.00007408922,0.000022182829,0.002126769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998369,0.00003224004,0.000008185491,0.000044496555,0.000024868163,0.000053136388],"domain_scores_gemma":[0.99965775,0.00013218429,0.000044567823,0.000021114558,0.00010452749,0.000039825718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049937743,0.0006647016,0.00092893036,0.0005319417,0.0004358902,0.0006806429,0.0010373406,0.00083061866,0.0022868142],"category_scores_gemma":[0.000877554,0.0002437336,0.00036583966,0.00035684116,0.0003303029,0.0007645877,0.0007924957,0.00037625016,0.00017607398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023691925,0.00010712846,0.0012758994,0.00005779499,0.00004356292,0.000089454385,0.000048126592,0.92252636,0.0043708053,0.0024360707,0.0014036319,0.06740422],"study_design_scores_gemma":[0.000011821395,0.000035291796,0.00013302354,0.0000026121484,0.000008063213,0.000013726181,0.000013577837,0.9986864,0.00039039782,0.00057167123,0.00013089279,0.0000025527188],"about_ca_topic_score_codex":0.0027780607,"about_ca_topic_score_gemma":0.0028071976,"teacher_disagreement_score":0.0027780607,"about_ca_system_score_codex":0.0005050135,"about_ca_system_score_gemma":0.0008376736,"threshold_uncertainty_score":0.0076501966},"labels":[],"label_agreement":null},{"id":"W4282823484","doi":"10.1007/s42835-022-01127-x","title":"A Decomposition-Based Improved Broad Learning System Model for Short-Term Load Forecasting","year":2022,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Jiangxi Provincial Department of Science and Technology; National Natural Science Foundation of China","keywords":"Computer science; Hilbert–Huang transform; Robustness (evolution); Artificial neural network; Artificial intelligence; Machine learning; Algorithm","score_opus":0.008052339355184429,"score_gpt":0.2044115246556603,"score_spread":0.19635918530047586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282823484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034123793,0.00041849833,0.96249217,0.00013566711,0.000067177134,0.00002427548,0.00012364218,0.00057498267,0.002039708],"genre_scores_gemma":[0.887227,0.0004149168,0.105586216,0.00012240799,0.00007041148,0.00011785904,0.00056669425,0.00010928324,0.005785137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997782,0.00007131027,0.0000123296495,0.00005703799,0.00004435337,0.000036860536],"domain_scores_gemma":[0.9996716,0.00013676767,0.000024265571,0.000029882194,0.00011446728,0.000022964761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007239321,0.00054777,0.0011051508,0.0003650128,0.00037866228,0.0006274547,0.0008280286,0.00078456086,0.002252488],"category_scores_gemma":[0.0011359953,0.00034180577,0.0006789659,0.00055138674,0.0002671049,0.00084929424,0.00083367067,0.0012481593,0.0007646359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007902423,0.000033788783,0.00037657912,0.00002660903,0.000041630217,0.000029336668,0.000019808127,0.9484673,0.0017955694,0.0016291313,0.0008832373,0.046618063],"study_design_scores_gemma":[0.000001104153,0.000003899784,0.000038454447,6.241219e-7,0.0000021269307,0.000001584824,5.737116e-7,0.99967635,0.00004604805,0.00017944183,0.000048675272,0.0000011154777],"about_ca_topic_score_codex":0.010341779,"about_ca_topic_score_gemma":0.008145613,"teacher_disagreement_score":0.010341779,"about_ca_system_score_codex":0.00041433447,"about_ca_system_score_gemma":0.0006870103,"threshold_uncertainty_score":0.020563185},"labels":[],"label_agreement":null},{"id":"W4291779222","doi":"10.1007/s42835-022-01194-0","title":"Correction to: A Decomposition-Based Improved Broad Learning System Model for Short-Term Load Forecasting","year":2022,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Jiangxi Provincial Department of Science and Technology; National Natural Science Foundation of China","keywords":"Term (time); Decomposition; Computer science; Artificial intelligence; Physics; Chemistry","score_opus":0.006572244353584739,"score_gpt":0.22216011682978876,"score_spread":0.215587872476204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291779222","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012973234,0.0020641563,0.27641845,0.034768578,0.634736,0.0002588674,0.014061796,0.016484134,0.008234807],"genre_scores_gemma":[0.37303323,0.0029426238,0.26101118,0.011450577,0.04078478,0.0004043425,0.025876204,0.011527768,0.27296928],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831945,0.00025373325,0.00018786265,0.00035141877,0.0006930882,0.0001944066],"domain_scores_gemma":[0.98712045,0.001729265,0.0004532509,0.0025073704,0.007642412,0.0005471284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116393,0.0019302415,0.0017429164,0.0011979069,0.0013631618,0.0027930415,0.0025395984,0.0043574763,0.09974103],"category_scores_gemma":[0.030359196,0.0008032152,0.0011845687,0.002331271,0.00073554204,0.0028243016,0.002886114,0.005450864,0.03807488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056592346,0.000058867907,0.0016354196,0.00046709238,0.00015586452,0.00073363644,0.00012662513,0.01891819,0.0045749354,0.0117983725,0.87040406,0.090560965],"study_design_scores_gemma":[0.00038840983,0.00017918613,0.006147277,0.0002673713,0.00015365824,0.0017096765,0.0002512883,0.36511835,0.018219717,0.026070233,0.5811867,0.0003082048],"about_ca_topic_score_codex":0.009832711,"about_ca_topic_score_gemma":0.011263806,"teacher_disagreement_score":0.09974103,"about_ca_system_score_codex":0.0015219939,"about_ca_system_score_gemma":0.0036171596,"threshold_uncertainty_score":0.33366698},"labels":[],"label_agreement":null},{"id":"W4362589807","doi":"10.1007/s42835-023-01482-3","title":"Cyber-Physical Power and Energy Systems with Wireless Sensor Networks: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"Journal of Electrical Engineering and Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Wireless sensor network; Cyber-physical system; Software deployment; Reliability (semiconductor); Resilience (materials science); Computer science; Wireless; Electric power system; Efficient energy use; Computer security; Computer network; Power (physics); Engineering; Risk analysis (engineering); Telecommunications; Electrical engineering; Business","score_opus":0.00542983734777432,"score_gpt":0.21209728681385392,"score_spread":0.2066674494660796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362589807","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023525287,0.99933773,0.00008041382,0.00010202564,0.000044089033,0.00003401336,0.00008090883,0.0000019786505,0.00008346736],"genre_scores_gemma":[0.0026165496,0.99687046,0.00020509376,0.00015873965,0.00003443787,0.00003698173,0.000044678047,0.0000011197151,0.000031957137],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99825996,0.00044588922,0.0006246506,0.00021303256,0.00038384553,0.000072583396],"domain_scores_gemma":[0.9908092,0.0070465496,0.0013637658,0.00011965168,0.00054597313,0.00011489979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031273835,0.00130767,0.0049055084,0.0051587154,0.00033465103,0.0020563751,0.00139652,0.0013980716,0.00394811],"category_scores_gemma":[0.013719256,0.00068179687,0.004304631,0.0063494937,0.00061422953,0.0021606085,0.0013116198,0.0011087883,0.00028156955],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017506881,0.000041617554,0.0010988219,0.8360861,0.0072230143,0.00012505638,0.00016881558,0.0003724614,0.00021445051,0.00068586896,0.0040557375,0.149753],"study_design_scores_gemma":[0.00030136437,0.00036705486,0.008680258,0.8301919,0.06791446,0.0009708258,0.0004960678,0.000317131,0.0002738281,0.001444561,0.0889442,0.00009840454],"about_ca_topic_score_codex":0.006965349,"about_ca_topic_score_gemma":0.024866546,"teacher_disagreement_score":0.006965349,"about_ca_system_score_codex":0.0014922594,"about_ca_system_score_gemma":0.0071937162,"threshold_uncertainty_score":0.016539395},"labels":[],"label_agreement":null},{"id":"W4389080241","doi":"10.1007/s42835-023-01690-x","title":"State-of-the-Art Review on Topology and Deductive Methods of LLC Resonant Converter","year":2023,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Resonant converter; Network topology; Topology (electrical circuits); Converters; Power (physics); Engineering; Electrical engineering; Modulation (music); Electronic engineering; Computer science; Physics; Voltage","score_opus":0.006758204164235588,"score_gpt":0.2609891788047476,"score_spread":0.254230974640512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389080241","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055318987,0.60840565,0.35177085,0.0008814496,0.0008793966,0.0001176099,0.00028836163,0.0007962109,0.03132861],"genre_scores_gemma":[0.09272477,0.6978293,0.1956022,0.00070266105,0.0020814375,0.00018614209,0.0010146128,0.00023099263,0.009627889],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920756,0.00015115795,0.00011500959,0.00018204894,0.00031392332,0.000030331883],"domain_scores_gemma":[0.9988397,0.00075048255,0.000051590952,0.00011087579,0.00023130217,0.000016097085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010766196,0.0008119475,0.0011888694,0.002177618,0.00039957193,0.001600632,0.0016705546,0.0006570838,0.0061254776],"category_scores_gemma":[0.0020925298,0.00039496494,0.00091033225,0.0025432573,0.0006736825,0.0029996305,0.00057596876,0.0009075657,0.0014956426],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000945994,0.000088705514,0.0003534276,0.009647451,0.0000906091,0.00015751006,0.0001882838,0.0037979519,0.005658292,0.038766287,0.0077766725,0.9333802],"study_design_scores_gemma":[0.000074252326,0.00039495202,0.0020476861,0.004838825,0.00067278685,0.003833411,0.0004534673,0.053086963,0.029582383,0.13587323,0.76895565,0.00018638927],"about_ca_topic_score_codex":0.00047335296,"about_ca_topic_score_gemma":0.00044488537,"teacher_disagreement_score":0.0061254776,"about_ca_system_score_codex":0.0004165757,"about_ca_system_score_gemma":0.00070712966,"threshold_uncertainty_score":0.020491779},"labels":[],"label_agreement":null},{"id":"W4391565997","doi":"10.1007/s42835-024-01797-9","title":"Smart Vehicle-to-Grid Operation of Power System based on EV User Behavior","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Korea Institute for Advancement of Technology; Ministry of Science, ICT and Future Planning","keywords":"Renewable energy; Electric power system; Grid; Smart grid; Vehicle-to-grid; Demand response; Energy storage; Computer science; Electric vehicle; Electricity; Automotive engineering; Engineering; Reliability engineering; Power (physics); Electrical engineering","score_opus":0.002122793177781557,"score_gpt":0.18174182955346094,"score_spread":0.1796190363756794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391565997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98584646,0.00006171634,0.010382577,0.000086170345,0.000021987305,0.000016209358,0.00029555918,0.00016793703,0.0031214445],"genre_scores_gemma":[0.99938583,0.000013137772,0.00023604943,0.000005237475,0.000002610764,0.0000016123429,0.000103791106,0.0000054991738,0.00024608916],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997603,0.000057581157,0.000016250371,0.00005942048,0.00006543357,0.00004101278],"domain_scores_gemma":[0.9991239,0.00031889038,0.000120625635,0.00006130454,0.00030585812,0.00006938398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002694604,0.00022237585,0.00026833927,0.0003966342,0.00012768075,0.0004944267,0.00023602552,0.00022963542,0.001440056],"category_scores_gemma":[0.0015073575,0.0001059772,0.00015278552,0.00041224615,0.000113409435,0.00060374103,0.00021294967,0.00024070645,0.00038194985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018485007,0.00044749037,0.6861546,0.00015419524,0.00040774507,0.0010197829,0.00053479854,0.17491868,0.027983963,0.0029065958,0.0037024121,0.09992121],"study_design_scores_gemma":[0.000010731879,0.00023112002,0.28553247,0.000010513854,0.0000835177,0.00029879675,0.0004461879,0.70710427,0.004362279,0.001173242,0.0007208257,0.000025977355],"about_ca_topic_score_codex":0.002955381,"about_ca_topic_score_gemma":0.0060018804,"teacher_disagreement_score":0.002955381,"about_ca_system_score_codex":0.00022006038,"about_ca_system_score_gemma":0.00015809742,"threshold_uncertainty_score":0.0058763623},"labels":[],"label_agreement":null},{"id":"W4392861205","doi":"10.1007/s42835-024-01818-7","title":"Voltage Stability Index(VSI)-Based Optimal Vehicle-to-Grid(V2G) Charging/Discharging Strategy in Radial Distribution System","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Research Foundation of Korea; Korea Institute for Advancement of Technology","keywords":"Electrification; Automotive engineering; Greenhouse gas; Grid; Vehicle-to-grid; Voltage; Distribution grid; Electric vehicle; Computer science; Power (physics); Electrical engineering; Engineering; Electricity","score_opus":0.0034383297220797948,"score_gpt":0.18663002912578847,"score_spread":0.18319169940370866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392861205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28849488,0.0016722463,0.66405636,0.0008582101,0.0002815345,0.00018024306,0.0002009256,0.0010674737,0.043188144],"genre_scores_gemma":[0.9953681,0.0000739744,0.0036196592,0.00002777092,0.000011993251,0.000009758677,0.000022422779,0.000011453746,0.0008549413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997814,0.000045967507,0.000012966386,0.000046144072,0.000064267675,0.000049273483],"domain_scores_gemma":[0.9998379,0.000033724336,0.000024770006,0.0000061587375,0.000080353995,0.000017103934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152039,0.00066199293,0.0006965619,0.00041158963,0.00052141753,0.0011433918,0.00068509165,0.0004007029,0.0020480442],"category_scores_gemma":[0.00046577817,0.00017951531,0.000271421,0.00046285937,0.0002779806,0.00051149406,0.00043953213,0.00039860202,0.00021941276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037190586,0.00012525987,0.0010595229,0.00016635182,0.000056309356,0.00013014064,0.00009382033,0.89891875,0.007974002,0.0059212074,0.0037718152,0.08141096],"study_design_scores_gemma":[0.000015800519,0.000086469336,0.00038856172,0.000006281429,0.000016685586,0.000025033702,0.00003141086,0.9970469,0.00084099354,0.0011687619,0.00036734433,0.000005796494],"about_ca_topic_score_codex":0.00727229,"about_ca_topic_score_gemma":0.008480956,"teacher_disagreement_score":0.00727229,"about_ca_system_score_codex":0.0008359398,"about_ca_system_score_gemma":0.0008918717,"threshold_uncertainty_score":0.014459968},"labels":[],"label_agreement":null},{"id":"W4405337089","doi":"10.1007/s42835-024-02109-x","title":"Improvement of Input and Output Performance for Three-Level Three-Phase UPS System Using Fast Transient Repetitive Controllers","year":2024,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Schneider Electric (Canada)","funders":"","keywords":"Control theory (sociology); Rectifier (neural networks); Transient (computer programming); Controller (irrigation); Inverter; Three-phase; Voltage; Transient response; Repetitive control; Control system; Computer science; Engineering; Control (management); Electrical engineering","score_opus":0.007530648420433768,"score_gpt":0.19927682798756588,"score_spread":0.1917461795671321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405337089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7373495,0.00024124749,0.24816163,0.00013736158,0.00007339929,0.000065460925,0.00006907849,0.0017825096,0.012119793],"genre_scores_gemma":[0.9969913,0.000016452934,0.0024632046,0.000008306575,0.0000033691476,0.000008228881,0.000018876804,0.000011829556,0.00047844893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981755,0.000044726876,0.000012740281,0.00003238301,0.00005799072,0.00003456054],"domain_scores_gemma":[0.99971503,0.00008740665,0.000037415764,0.000042770873,0.00010509365,0.000012296391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032405718,0.0005481643,0.00043719623,0.00019386125,0.0005172357,0.0004467723,0.00043381922,0.00038474682,0.0025620451],"category_scores_gemma":[0.0004917622,0.00012259003,0.00027978065,0.00017223768,0.00018507181,0.00027973397,0.0002824544,0.00033068476,0.00026343917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027447152,0.0004685348,0.0038045412,0.0007689765,0.00020112983,0.00071716896,0.0007102022,0.45301375,0.33406666,0.004250121,0.0023324816,0.19692168],"study_design_scores_gemma":[0.00008480868,0.0011450822,0.003869115,0.000020871352,0.00007108394,0.00013143796,0.0000728031,0.9312957,0.06181885,0.0005010491,0.00097091164,0.000018350856],"about_ca_topic_score_codex":0.0019159026,"about_ca_topic_score_gemma":0.0017605653,"teacher_disagreement_score":0.0025620451,"about_ca_system_score_codex":0.00018916269,"about_ca_system_score_gemma":0.00023037182,"threshold_uncertainty_score":0.0085709095},"labels":[],"label_agreement":null},{"id":"W4406624426","doi":"10.1007/s42835-025-02144-2","title":"A dissolved Gases Analysis Method for Power Transformer Faults Diagnosis Based on the Observation of Subsets of Labelled Fault Data","year":2025,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Dissolved gas analysis; Fault (geology); Transformer; Reliability engineering; Computer science; Seismology; Geology; Engineering; Electrical engineering","score_opus":0.013467885777779296,"score_gpt":0.2593976779848815,"score_spread":0.2459297922071022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406624426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1471836,0.0005410954,0.84952796,0.00006744459,0.000036754696,0.00008739547,0.0007936153,0.0010522817,0.00070970145],"genre_scores_gemma":[0.61053675,0.00034305744,0.38611624,0.00004391068,0.000044226723,0.0001228744,0.0012470124,0.00007227286,0.0014737062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972326,0.000032469223,0.000017772658,0.00009300882,0.00010480445,0.000028754044],"domain_scores_gemma":[0.99961287,0.00013674767,0.000048711005,0.000049860257,0.00012732686,0.000024469942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029687755,0.0004928079,0.00063656236,0.0013464655,0.0003293847,0.000530184,0.0005531576,0.0005897271,0.0005203558],"category_scores_gemma":[0.00059470156,0.00025475735,0.00047295808,0.00067511154,0.00028644907,0.0005913261,0.000440647,0.00042636186,0.00032964384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010548647,0.00021369754,0.012189878,0.00028252645,0.00016706804,0.00024887675,0.00016695862,0.017926324,0.57833123,0.0012771523,0.0007594284,0.387382],"study_design_scores_gemma":[0.000064501764,0.00045700863,0.018136397,0.000031455053,0.0001909184,0.0006305041,0.0001182877,0.75113857,0.22253981,0.0026839776,0.0039369115,0.00007172555],"about_ca_topic_score_codex":0.001837708,"about_ca_topic_score_gemma":0.0026821026,"teacher_disagreement_score":0.001837708,"about_ca_system_score_codex":0.00024636413,"about_ca_system_score_gemma":0.00047757063,"threshold_uncertainty_score":0.0036540627},"labels":[],"label_agreement":null}]}