{"meta":{"query_hash":"1a9020ca14d0","filters":{"venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)"},"cohort_total":32,"direct_labels_cover":0,"predictions_cover":32,"exported":32,"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/1a9020ca14d0","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+IEEE+Power+%26amp%3B+Energy+Society+General+Meeting+%28PESGM%29"},"results":[{"id":"W4308026387","doi":"10.1109/pesgm48719.2022.9916999","title":"Dynamic Load Altering EV Attacks Against Power Grid Frequency Control","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blackout; Grid; Software deployment; Computer science; Controller (irrigation); Electric power system; Power (physics); Control (management); Stability (learning theory); Dynamic demand; Computer security; Distributed computing","score_opus":0.006541437708325137,"score_gpt":0.2141699772793446,"score_spread":0.20762853957101945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308026387","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":[0.21800871,0.00022874011,0.7498245,0.00055546785,0.00010556948,0.00012940147,0.00003779458,0.0011359788,0.02997379],"genre_scores_gemma":[0.99147207,0.000056144112,0.007222487,0.000042888805,0.00000862265,0.000016710675,0.000007723155,0.000010017876,0.0011633347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959844,0.00012313586,0.000020656458,0.000060971608,0.00012824623,0.00006868547],"domain_scores_gemma":[0.9995875,0.00018264883,0.0000694485,0.00007717901,0.000066391185,0.000016845208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003363406,0.0005268164,0.00023900317,0.00025500983,0.00022353123,0.0005381615,0.00028832126,0.0005411666,0.0013602899],"category_scores_gemma":[0.001226257,0.00008517901,0.00021995674,0.00009547517,0.00057894224,0.00070698716,0.00065948075,0.00050245714,0.00021504986],"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":[0.0004776143,0.00014121625,0.0021661564,0.00020886058,0.00007373649,0.0010064195,0.00033892543,0.6577647,0.13093732,0.07921526,0.002478329,0.12519166],"study_design_scores_gemma":[0.000015923923,0.00022598717,0.00037075943,0.000015816888,0.000011994896,0.00018552819,0.00006458243,0.9670447,0.023059921,0.006738805,0.002254586,0.000011425988],"about_ca_topic_score_codex":0.00065751764,"about_ca_topic_score_gemma":0.0005158566,"teacher_disagreement_score":0.0013602899,"about_ca_system_score_codex":0.00029651745,"about_ca_system_score_gemma":0.0002139324,"threshold_uncertainty_score":0.004550636},"labels":[],"label_agreement":null},{"id":"W4312258232","doi":"10.1109/pesgm48719.2022.9917149","title":"Relay Protection Coordination Analysis using Fault Current Measurements: A Case Study of Hydro Quebec Distribution Network","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Relay; Tripping; Protective relay; Digital protective relay; Power-system protection; Computer science; Network analysis; Work (physics); Fault (geology); Overcurrent; Telecommunications; Reliability engineering; Computer network; Circuit breaker; Current (fluid); Electrical engineering; Engineering; Electric power system","score_opus":0.036228467072588866,"score_gpt":0.2702236948094301,"score_spread":0.23399522773684123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312258232","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":[0.99010557,0.000076072,0.0037710394,0.00018136126,0.000005828747,0.00014483367,0.00082258583,0.00006958691,0.0048231618],"genre_scores_gemma":[0.99448687,0.00005636292,0.0029291732,0.000020962754,0.0000027100139,0.000024611516,0.00030229913,0.000008000116,0.0021690484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99953806,0.00009382986,0.000017033733,0.000081981714,0.00018538296,0.000083714665],"domain_scores_gemma":[0.9984617,0.0006518261,0.00015841292,0.00008197907,0.00055601035,0.00009006062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048814274,0.00059490645,0.00033536836,0.0011234976,0.0009182933,0.0008719529,0.000979612,0.0009607766,0.0013137751],"category_scores_gemma":[0.0016412946,0.00018613471,0.00024366133,0.0014736699,0.0006800153,0.00037438906,0.00037057255,0.0005082599,0.0001247096],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072729046,0.00082606496,0.18273087,0.00038340464,0.00024471423,0.014292966,0.0028276488,0.7053207,0.01719266,0.005341412,0.0068953075,0.06321691],"study_design_scores_gemma":[0.00011919846,0.00048500206,0.23680124,0.000054694123,0.000089455694,0.0008310699,0.0048679537,0.74627376,0.00560254,0.0006577917,0.004122348,0.00009483864],"about_ca_topic_score_codex":0.779095,"about_ca_topic_score_gemma":0.8397749,"teacher_disagreement_score":0.220905,"about_ca_system_score_codex":0.008124924,"about_ca_system_score_gemma":0.002397544,"threshold_uncertainty_score":0.44441187},"labels":[],"label_agreement":null},{"id":"W4312261981","doi":"10.1109/pesgm48719.2022.9917077","title":"Behind-the-Meter Solar Generation Disaggregation via Universal Adaptive Stabilization","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"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":"","keywords":"Photovoltaic system; Computer science; Electricity generation; Metre; Hidden Markov model; Power (physics); Control engineering; Real-time computing; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.015751081061584956,"score_gpt":0.201110337774893,"score_spread":0.18535925671330805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312261981","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":[0.21744668,0.0007444192,0.76957583,0.00039892955,0.00018237505,0.00006704188,0.003272687,0.004578376,0.003733739],"genre_scores_gemma":[0.89097387,0.00016139758,0.100806974,0.0000766285,0.00008250224,0.00006160786,0.0054313634,0.00012992688,0.0022757768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998053,0.00003991228,0.000008711555,0.000093160445,0.000028645987,0.000024359342],"domain_scores_gemma":[0.9997726,0.00006347647,0.000031147392,0.00006299667,0.000057366946,0.000012537868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033137243,0.0005041225,0.00048268496,0.00053931173,0.00023414096,0.00035996648,0.00065506174,0.0003261748,0.0007715891],"category_scores_gemma":[0.0008972829,0.0001521666,0.00046228245,0.0006380581,0.00017911062,0.00046917232,0.00055352756,0.0005557047,0.00040973164],"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":[0.00043276296,0.00021026183,0.014720389,0.00011605229,0.000180455,0.00016720408,0.00021424801,0.492833,0.017968973,0.0036773607,0.013782477,0.45569685],"study_design_scores_gemma":[0.0000069548146,0.00001470869,0.0017202452,0.0000037249308,0.000006942628,0.000011946296,0.000016849255,0.9940036,0.0017166077,0.001184304,0.0013081438,0.000005919967],"about_ca_topic_score_codex":0.010712243,"about_ca_topic_score_gemma":0.023618007,"teacher_disagreement_score":0.010712243,"about_ca_system_score_codex":0.00034724383,"about_ca_system_score_gemma":0.00049704197,"threshold_uncertainty_score":0.02129978},"labels":[],"label_agreement":null},{"id":"W4312316071","doi":"10.1109/pesgm48719.2022.9917238","title":"Nonlinear Network Equivalents of Systems with Inverter Based Resources to Study Unbalanced Faults in Steady State","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Thévenin's theorem; Inverter; Equivalent circuit; Fault (geology); Nonlinear system; Sequence (biology); Control theory (sociology); Computer science; Interconnection; Voltage; Engineering; Control (management); Electrical engineering; Physics","score_opus":0.009282506484977223,"score_gpt":0.21014132918056633,"score_spread":0.2008588226955891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312316071","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":[0.025847536,0.00006464111,0.95983607,0.000036626065,0.000028012526,0.00005098165,0.00008562657,0.00015578902,0.013894808],"genre_scores_gemma":[0.8480629,0.00036029416,0.13630553,0.000050485978,0.00003742119,0.00022591338,0.00031331868,0.00016490373,0.014479339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993503,0.000024234867,0.0000028769668,0.000007823002,0.000024963563,0.0000051824486],"domain_scores_gemma":[0.99988127,0.000059028716,0.000019125513,0.000015934464,0.00002102124,0.000003753774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018078282,0.0005163382,0.00029883214,0.00027046652,0.00016772852,0.00036921634,0.00044474905,0.0003303407,0.0032006223],"category_scores_gemma":[0.0005853552,0.00017233905,0.0002920715,0.0001789341,0.00030631432,0.00068010343,0.0003008122,0.00045556293,0.00043653368],"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":[0.000024814046,0.000030070476,0.00027557023,0.000058880356,0.0000138041705,0.00009382083,0.000056074292,0.94710124,0.0065566497,0.030339947,0.0004272774,0.015021997],"study_design_scores_gemma":[0.0000033739398,0.000019397157,0.00008021525,0.0000032253304,0.0000028594877,0.000016336879,0.000010067097,0.9937405,0.00078406854,0.003812476,0.0015254064,0.0000021267954],"about_ca_topic_score_codex":0.0010352116,"about_ca_topic_score_gemma":0.0017742933,"teacher_disagreement_score":0.0032006223,"about_ca_system_score_codex":0.00023991732,"about_ca_system_score_gemma":0.00018706702,"threshold_uncertainty_score":0.01070714},"labels":[],"label_agreement":null},{"id":"W4312349893","doi":"10.1109/pesgm48719.2022.9917147","title":"RTCE: Real-Time Co-Emulation Framework for EMT-Based Power System and Communication Network on FPGA-MPSoC Hardware Architecture","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Real-time simulation and control 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 Alberta","funders":"","keywords":"Emulation; MPSoC; Hardware emulation; Computer science; Embedded system; Field-programmable gate array; Software; Latency (audio); Computer architecture; System on a chip; Operating system","score_opus":0.010405538444704873,"score_gpt":0.24028943323544122,"score_spread":0.22988389479073634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312349893","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":[0.0029898477,0.0001251849,0.98433506,0.00005617468,0.000039718267,0.00007349149,0.00010929875,0.00905301,0.0032182168],"genre_scores_gemma":[0.38737756,0.00081877335,0.5911755,0.00020263027,0.000081053695,0.0008014671,0.0014433572,0.0029674093,0.01513225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958855,0.000105269624,0.000028607621,0.00005135498,0.00017396791,0.000052313506],"domain_scores_gemma":[0.99972624,0.00008146883,0.000036380603,0.00005891233,0.000075092124,0.000021918278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006997752,0.0009995998,0.0004960697,0.0005384491,0.00027770776,0.00086189754,0.0015335594,0.0006617041,0.008642135],"category_scores_gemma":[0.0010290763,0.00034144358,0.000792308,0.00021310952,0.00039251707,0.00087882415,0.0008399016,0.0011600018,0.0016069931],"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":[0.00026549184,0.00010453141,0.0014528504,0.0004542483,0.0001253185,0.00060188683,0.00027697106,0.7531466,0.022623401,0.06640924,0.01348994,0.14104946],"study_design_scores_gemma":[0.000046067573,0.00007347998,0.00019047427,0.00003020468,0.000022919285,0.0001609119,0.000016932854,0.95687395,0.009902185,0.0042069177,0.028454917,0.000020893936],"about_ca_topic_score_codex":0.002892495,"about_ca_topic_score_gemma":0.0027380616,"teacher_disagreement_score":0.008642135,"about_ca_system_score_codex":0.00047680666,"about_ca_system_score_gemma":0.000904523,"threshold_uncertainty_score":0.028910816},"labels":[],"label_agreement":null},{"id":"W4312439192","doi":"10.1109/pesgm48719.2022.9916692","title":"A Dynamic Model of Small Modular Reactor Based Nuclear Plant for Power System Studies","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":5,"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 Saskatchewan","funders":"","keywords":"Natural circulation; Modular design; Nuclear reactor core; Coolant; Nuclear reactor; Electric power system; Nuclear engineering; Nuclear power plant; Load following power plant; Turbine; Engineering; Control theory (sociology); Power (physics); Control engineering; Computer science; Base load power plant; Mechanical engineering; Physics","score_opus":0.021499010158720234,"score_gpt":0.21194187812599755,"score_spread":0.1904428679672773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312439192","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":[0.12436535,0.0005758546,0.76467615,0.00074062933,0.0002080719,0.00038644206,0.002747946,0.0017576866,0.10454201],"genre_scores_gemma":[0.9429388,0.00043546018,0.018893937,0.00009199919,0.000045165263,0.00066304835,0.0007827419,0.00012020408,0.036028743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998529,0.000035944646,0.0000055725245,0.00003987108,0.000047029323,0.000018575969],"domain_scores_gemma":[0.9998869,0.00004285875,0.000022482725,0.000011192685,0.0000274531,0.000009090792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018192825,0.00080990983,0.00078282383,0.0002997129,0.00058018626,0.00085480895,0.0012116308,0.0012480601,0.008443403],"category_scores_gemma":[0.00032232923,0.00038442947,0.0006729483,0.00039422876,0.0005319227,0.0008097536,0.0005174998,0.00092664745,0.0013086188],"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":[0.000037742495,0.000018157833,0.00019263885,0.000052949224,0.000009209755,0.000099386656,0.000037949416,0.9890493,0.0035127143,0.004307481,0.0004675427,0.0022148772],"study_design_scores_gemma":[0.000014328807,0.000031798732,0.00015763802,0.0000048369716,0.0000064737746,0.0000224016,0.000010784167,0.99717146,0.00039113467,0.0008069646,0.001376196,0.0000060608027],"about_ca_topic_score_codex":0.010281928,"about_ca_topic_score_gemma":0.006436641,"teacher_disagreement_score":0.010281928,"about_ca_system_score_codex":0.000652269,"about_ca_system_score_gemma":0.00088689855,"threshold_uncertainty_score":0.028246045},"labels":[],"label_agreement":null},{"id":"W4312444795","doi":"10.1109/pesgm48719.2022.9916925","title":"Analysis and Implementation of the Unified Centralized/Decentralized Frequency Control Structure in Hardware in the Loop Environment with RTDS","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Microgrid Control and Optimization","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":"Toronto Metropolitan University","funders":"","keywords":"Controller (irrigation); Benchmark (surveying); Automation; Microgrid; Control (management); Control engineering; Computer science; Automatic frequency control; Hardware-in-the-loop simulation; IEC 61850; Control system; Embedded system; Reliability engineering; Engineering; Telecommunications; Electrical engineering","score_opus":0.0040068129719119105,"score_gpt":0.19416553749088128,"score_spread":0.19015872451896937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312444795","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":[0.26469988,0.00025645326,0.71158034,0.00014646671,0.000042411208,0.00014641254,0.00010473336,0.0010447693,0.021978507],"genre_scores_gemma":[0.9879914,0.000041751515,0.010919007,0.000009422953,0.0000044450676,0.000033138473,0.000023801482,0.000017244969,0.0009598101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965084,0.00007819888,0.000011433468,0.000052417647,0.0001499416,0.0000572292],"domain_scores_gemma":[0.9996536,0.000102711594,0.000056675737,0.000058431175,0.00011310782,0.000015517873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037223153,0.00035712466,0.00032196837,0.00023083617,0.0002084752,0.00056537456,0.0005174944,0.00034070289,0.0022368704],"category_scores_gemma":[0.0007754896,0.0001591946,0.00037262685,0.00012919732,0.0004699648,0.00043301375,0.00028889166,0.00029533784,0.00016579767],"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":[0.00006565361,0.000039350616,0.00086278276,0.000063725485,0.000018225055,0.00009139613,0.000040294166,0.9678984,0.007998697,0.0076238625,0.00025387088,0.015043777],"study_design_scores_gemma":[0.000008704097,0.000066308115,0.00024675298,0.000002358484,0.0000057223156,0.000011286067,0.0000054434413,0.99727005,0.0016712975,0.0003987615,0.00031085472,0.0000024383264],"about_ca_topic_score_codex":0.0052563203,"about_ca_topic_score_gemma":0.0029472245,"teacher_disagreement_score":0.0052563203,"about_ca_system_score_codex":0.00066239055,"about_ca_system_score_gemma":0.00072719884,"threshold_uncertainty_score":0.010451436},"labels":[],"label_agreement":null},{"id":"W4312475493","doi":"10.1109/pesgm48719.2022.9917002","title":"A Grid-Aware Consensus Protocol for Energy Trading","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Distributed computing; Protocol (science); Distributed generation; Grid; Renewable energy; Smart grid; Electric power system; Power (physics); Electrical engineering; Engineering","score_opus":0.02711690625231929,"score_gpt":0.2823028195419429,"score_spread":0.25518591328962364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312475493","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":[0.013973202,0.00021395365,0.97716004,0.00052066206,0.00016628328,0.0002814074,0.000093655464,0.0005345483,0.0070563243],"genre_scores_gemma":[0.78239477,0.0003924319,0.20801593,0.00026777637,0.000097684395,0.0006816664,0.00027842665,0.00007676232,0.007794622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984541,0.0005029347,0.00014349612,0.00023787763,0.00052742055,0.00013415064],"domain_scores_gemma":[0.9978573,0.00089675724,0.00019037689,0.00042851514,0.00050080585,0.00012630201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015471685,0.0004993608,0.00073775434,0.0005672527,0.0012554658,0.0010764448,0.0015084278,0.0014623438,0.0029897618],"category_scores_gemma":[0.004516747,0.00030011463,0.00038399288,0.0008535538,0.0010537966,0.0023695086,0.0024771965,0.0015486142,0.00063643686],"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":[0.00059293135,0.00021872352,0.00093810493,0.00032967675,0.000102738806,0.0010013869,0.0006614199,0.4444205,0.027304532,0.35918912,0.009435683,0.15580527],"study_design_scores_gemma":[0.00009907079,0.000119961784,0.00008147982,0.000023374632,0.000018885537,0.00018626421,0.000048406077,0.92226046,0.004625991,0.06419847,0.00830574,0.00003194074],"about_ca_topic_score_codex":0.0014099623,"about_ca_topic_score_gemma":0.0017953431,"teacher_disagreement_score":0.0029897618,"about_ca_system_score_codex":0.00082193664,"about_ca_system_score_gemma":0.0020927098,"threshold_uncertainty_score":0.010001779},"labels":[],"label_agreement":null},{"id":"W4312549653","doi":"10.1109/pesgm48719.2022.9917187","title":"Sizing Transmission-Scale Battery Energy Storage System with Dynamic Thermal Line Rating","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Sizing; Energy storage; Computer science; Reliability (semiconductor); Computer data storage; Transmission line; Electric power transmission; Automotive engineering; Reliability engineering; Electric power system; Transmission (telecommunications); Electrical engineering; Engineering; Power (physics); Telecommunications; Computer hardware","score_opus":0.005944000515015095,"score_gpt":0.19610425606972565,"score_spread":0.19016025555471056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312549653","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":[0.16709666,0.00013647064,0.825263,0.00009606653,0.000023365863,0.0001132788,0.00016140428,0.0012995043,0.005810241],"genre_scores_gemma":[0.9179709,0.000052493382,0.080573246,0.00002006512,0.00000782377,0.000047495243,0.00008613452,0.000056526165,0.0011853029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998883,0.000025202438,0.0000100700445,0.000026133064,0.00003619718,0.000014122799],"domain_scores_gemma":[0.9997732,0.00008129035,0.00005055526,0.000023894123,0.000059878497,0.000011205979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021639938,0.0005770604,0.0004076118,0.0002984725,0.00016156737,0.0004995841,0.00039850187,0.00022866295,0.0021233785],"category_scores_gemma":[0.0007,0.00032604297,0.00027655048,0.00024268594,0.00019069803,0.0009280947,0.0002088321,0.0003489073,0.0002620686],"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":[0.00007157884,0.000033148503,0.0009751397,0.00007234349,0.00002370576,0.00003723881,0.000026504666,0.9273158,0.01623015,0.0008137169,0.00039343318,0.05400715],"study_design_scores_gemma":[0.00000833196,0.000042471787,0.00043014518,0.0000036549109,0.000008698416,0.000010857021,0.000007212148,0.9944583,0.004428189,0.00032762694,0.00026989568,0.000004595447],"about_ca_topic_score_codex":0.0044462387,"about_ca_topic_score_gemma":0.0115113985,"teacher_disagreement_score":0.0044462387,"about_ca_system_score_codex":0.00048267006,"about_ca_system_score_gemma":0.0007189668,"threshold_uncertainty_score":0.00884074},"labels":[],"label_agreement":null},{"id":"W4312568251","doi":"10.1109/pesgm48719.2022.9917106","title":"Peer-to-Peer Energy Trading in Smart Grid Considering Power Losses and Network Fees","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":14,"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 British Columbia","funders":"","keywords":"Clearing; Peer-to-peer; Market clearing; Smart grid; Grid; Computer science; Electricity market; Electricity; Environmental economics; Energy market; Distributed generation; Business; Industrial organization; Microeconomics; Distributed computing; Renewable energy; Finance; Economics; Electrical engineering","score_opus":0.013305499285417707,"score_gpt":0.218062308723323,"score_spread":0.20475680943790528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312568251","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":[0.16163364,0.0007751013,0.8219767,0.0005568297,0.0000883224,0.0001310663,0.000050730363,0.0003108898,0.014476636],"genre_scores_gemma":[0.9878906,0.00013273375,0.0105586015,0.000021352489,0.000019596873,0.000027792963,0.000011801122,0.000018925954,0.0013186729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858046,0.0005727551,0.00005098926,0.00020119119,0.0004227136,0.00017193407],"domain_scores_gemma":[0.9986247,0.0008038247,0.0001683779,0.00010666637,0.00022256044,0.00007389874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012410589,0.0005461312,0.0015977549,0.0003873077,0.0009339049,0.0018160975,0.0013173837,0.0011506524,0.0015356694],"category_scores_gemma":[0.003796356,0.00036369843,0.00043924816,0.00070317055,0.001041003,0.0034226682,0.0011502365,0.0008541494,0.00015006574],"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":[0.000075541146,0.00004057243,0.0005573944,0.00003727982,0.00001979046,0.00032390657,0.00004373633,0.9539358,0.001090292,0.03156792,0.0005338802,0.011773968],"study_design_scores_gemma":[0.0000065395884,0.000012772781,0.00008383943,0.0000012093388,0.000004068418,0.00003926729,0.000012342128,0.992466,0.00018727909,0.007004867,0.00017753005,0.0000043724417],"about_ca_topic_score_codex":0.0049052658,"about_ca_topic_score_gemma":0.0039296807,"teacher_disagreement_score":0.0049052658,"about_ca_system_score_codex":0.0014139035,"about_ca_system_score_gemma":0.0013906937,"threshold_uncertainty_score":0.010258615},"labels":[],"label_agreement":null},{"id":"W4312609385","doi":"10.1109/pesgm48719.2022.9917232","title":"Series Compensated Transmission Lines: Overvoltage Assessment for Additional Compensation Scenarios","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"BC Hydro","keywords":"Overvoltage; Compensation (psychology); Electric power transmission; Emtp; Capacitor; Surge; Transmission line; Electrical engineering; Line (geometry); Electric power system; Work (physics); Voltage; Computer science; Engineering; Electronic engineering; Power (physics); Physics; Mathematics","score_opus":0.014572753286326524,"score_gpt":0.24679334145092238,"score_spread":0.23222058816459587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312609385","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":[0.92431,0.00021072483,0.06203186,0.00018053374,0.000029410146,0.000111384645,0.00087064505,0.0007630678,0.011492312],"genre_scores_gemma":[0.9961104,0.000039163,0.002947456,0.000008176742,0.000003130616,0.0000069265907,0.00016966347,0.000012103148,0.000703037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982685,0.000054279855,0.000008468034,0.000023156996,0.000064792905,0.00002239924],"domain_scores_gemma":[0.9995322,0.00012666952,0.00009106867,0.000055007804,0.00016902683,0.00002598226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028980835,0.00064524787,0.00023664316,0.0006420467,0.00020890859,0.0005529997,0.0006755698,0.00079288316,0.0030543983],"category_scores_gemma":[0.0007817828,0.00013105941,0.00029010634,0.0004702749,0.00016597168,0.0010502172,0.0002279746,0.00040105128,0.0002853816],"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":[0.0009179182,0.00020382665,0.025188556,0.00029769467,0.000088629284,0.0013410288,0.00020360458,0.83589697,0.068565995,0.0022473466,0.003276739,0.061771747],"study_design_scores_gemma":[0.000045348504,0.0007311546,0.019673357,0.000034450793,0.000059826703,0.0003902936,0.0001859262,0.95323324,0.02221542,0.0013923073,0.002008453,0.000030184832],"about_ca_topic_score_codex":0.0028805386,"about_ca_topic_score_gemma":0.005239542,"teacher_disagreement_score":0.0030543983,"about_ca_system_score_codex":0.00058419537,"about_ca_system_score_gemma":0.0002065083,"threshold_uncertainty_score":0.010218024},"labels":[],"label_agreement":null},{"id":"W4312648698","doi":"10.1109/pesgm48719.2022.9916968","title":"Starlink Space Network-Enhanced Cyber–Physical Power System","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Satellite Communication Systems","field":"Engineering","cited_by":6,"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 Alberta","funders":"","keywords":"Emulation; Cyber-physical system; The Internet; Computer science; Electric power system; Telecommunications network; Computer network; Telecommunications; Power (physics)","score_opus":0.01398912958012213,"score_gpt":0.22744059703341973,"score_spread":0.2134514674532976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312648698","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":[0.37681687,0.00047078717,0.5192148,0.0005541685,0.00018637849,0.0001724256,0.00023381013,0.0023817357,0.09996908],"genre_scores_gemma":[0.98613054,0.00009165651,0.009460137,0.0000363162,0.00001855825,0.000026866852,0.00009669904,0.000022676733,0.0041166167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975973,0.00008868688,0.0000062909016,0.00003666423,0.00008993062,0.000018561366],"domain_scores_gemma":[0.99984336,0.000032831573,0.000019301993,0.000026597252,0.000064488944,0.000013408675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873294,0.0002469165,0.00017576065,0.00017221797,0.00021158738,0.00059612875,0.00029950752,0.00026895094,0.0021505796],"category_scores_gemma":[0.00030563085,0.000054485783,0.00011431996,0.00021444932,0.00028294034,0.0009765797,0.00058162917,0.00033427827,0.00034989978],"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":[0.0006118916,0.00015135756,0.004980036,0.0003117103,0.00006366939,0.0009283298,0.00038175922,0.71720254,0.060263276,0.059372198,0.0087028975,0.14703031],"study_design_scores_gemma":[0.000058417205,0.00068916916,0.002492718,0.00002137757,0.000031967273,0.00042863455,0.00009045365,0.9356524,0.022757636,0.00715647,0.03060032,0.00002044739],"about_ca_topic_score_codex":0.00077704346,"about_ca_topic_score_gemma":0.0011079325,"teacher_disagreement_score":0.0021505796,"about_ca_system_score_codex":0.00032329993,"about_ca_system_score_gemma":0.00031620802,"threshold_uncertainty_score":0.00719434},"labels":[],"label_agreement":null},{"id":"W4312684622","doi":"10.1109/pesgm48719.2022.9917062","title":"Regionalisation in high share renewable energy system modelling","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"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":"Electrification; Renewable energy; Environmental economics; Regionalisation; Electricity; Computer science; Energy carrier; Energy transition; Energy (signal processing); Cluster analysis; Greenhouse gas; Electricity generation; Business; Operations research; Power (physics); Economics; Engineering; Electrical engineering; Mathematics","score_opus":0.014763136936413825,"score_gpt":0.19495686259449954,"score_spread":0.18019372565808572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312684622","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":[0.088603586,0.0011242466,0.8285412,0.0010070428,0.000097628224,0.00016051994,0.0019276536,0.00068686105,0.077851124],"genre_scores_gemma":[0.8919277,0.0010074505,0.08597651,0.00016713134,0.00005981606,0.00025831556,0.00082184165,0.0003063454,0.019474769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994241,0.00032796455,0.000022247652,0.00009216542,0.000073009316,0.00006051554],"domain_scores_gemma":[0.99941754,0.00033188495,0.00006250777,0.00006786105,0.000093785085,0.000026472024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092128396,0.00059077376,0.000707758,0.00065287406,0.0003858958,0.0017425184,0.001572049,0.0012789993,0.0053583076],"category_scores_gemma":[0.0024465362,0.00041178704,0.0014582971,0.0012863294,0.0006177653,0.0012561285,0.0014319705,0.0007973771,0.00071631605],"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":[0.000005057068,0.00000426185,0.0002938326,0.000010980868,0.00001204053,0.00002585198,0.00001976596,0.98268926,0.00009219007,0.015395091,0.0001663568,0.0012853966],"study_design_scores_gemma":[0.0000032480766,0.0000048502106,0.00018587429,0.000004690054,0.0000061661594,0.000010064438,0.000020940692,0.9909025,0.00006628709,0.006777399,0.0020135837,0.0000044529643],"about_ca_topic_score_codex":0.036825974,"about_ca_topic_score_gemma":0.025768753,"teacher_disagreement_score":0.036825974,"about_ca_system_score_codex":0.0017689007,"about_ca_system_score_gemma":0.0008918398,"threshold_uncertainty_score":0.07322329},"labels":[],"label_agreement":null},{"id":"W4312729682","doi":"10.1109/pesgm48719.2022.9917225","title":"Induction Machine Emulation for Extreme Weather Conditions","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulation; Robustness (evolution); Voltage; Computer science; Electric power system; Hardware-in-the-loop simulation; Engineering; Control engineering; Power (physics); Electrical engineering","score_opus":0.02376145176440185,"score_gpt":0.24291332673494284,"score_spread":0.219151874970541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312729682","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":[0.38368106,0.00013176523,0.59664035,0.00016726759,0.00008110214,0.00011160939,0.00035070707,0.0024347748,0.016401298],"genre_scores_gemma":[0.980699,0.00007098798,0.016216934,0.000020486716,0.0000047189683,0.000050398638,0.00017480912,0.00011145155,0.0026512123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999131,0.000020845886,0.0000042835254,0.000009066667,0.00004014825,0.000012475207],"domain_scores_gemma":[0.99985576,0.000058852067,0.000020443353,0.000031211533,0.000027726486,0.00000584482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001565932,0.00032606255,0.00022398689,0.00016581254,0.00011749011,0.0002351051,0.00029423728,0.0002760434,0.0031877111],"category_scores_gemma":[0.00048698482,0.00007285566,0.0001690714,0.00015465952,0.00013483285,0.00033578457,0.00024405078,0.00044945488,0.00046298341],"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":[0.0005646115,0.00017522571,0.0033317816,0.00026340166,0.00003905439,0.00046873876,0.00033033497,0.74803275,0.15370566,0.008872486,0.002614572,0.08160136],"study_design_scores_gemma":[0.000033925946,0.00026936442,0.00223272,0.000011947463,0.000012824517,0.00014439313,0.000035785364,0.9230063,0.06719991,0.001094518,0.005946426,0.000011780409],"about_ca_topic_score_codex":0.0003956108,"about_ca_topic_score_gemma":0.00025776078,"teacher_disagreement_score":0.0031877111,"about_ca_system_score_codex":0.00013038432,"about_ca_system_score_gemma":0.00015756031,"threshold_uncertainty_score":0.010663986},"labels":[],"label_agreement":null},{"id":"W4312738012","doi":"10.1109/pesgm48719.2022.9916889","title":"A New Approach to Reliability Assessment and Improvement of Synchrophasor Communications in Smart Grids","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Phasor; Smart grid; Reliability (semiconductor); Data transmission; Transmission (telecommunications); Fault (geology); Computer science; Real-time computing; Probabilistic logic; Wireless; Engineering; Communications system; Telecommunications network; Electric power system; Reliability engineering; Computer network; Power (physics); Telecommunications; Electrical engineering","score_opus":0.016767483922732425,"score_gpt":0.26577890604130133,"score_spread":0.24901142211856891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312738012","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":[0.003394984,0.00025330216,0.99521375,0.0001183404,0.000021261034,0.000018058106,0.000015231952,0.00015994774,0.0008051787],"genre_scores_gemma":[0.5578398,0.0013419073,0.43791226,0.000110438676,0.0002839259,0.00009374086,0.00009603903,0.000070152244,0.0022517366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987036,0.00034853787,0.000059995593,0.00022634458,0.00061968394,0.000041767285],"domain_scores_gemma":[0.99850994,0.0005717711,0.00026563925,0.00022350471,0.0003931759,0.000035892055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011347363,0.00093723286,0.00062023784,0.0010980321,0.0002852249,0.001014469,0.0007284349,0.00061208743,0.0007813981],"category_scores_gemma":[0.004297445,0.00034041068,0.00043608074,0.0007159041,0.0005534152,0.001878708,0.0007185216,0.0010877169,0.00021277371],"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":[0.000121398305,0.00012518263,0.0025735474,0.0002768487,0.00011797068,0.00016515711,0.00026860143,0.48002315,0.035719384,0.06952377,0.001958549,0.4091265],"study_design_scores_gemma":[0.000008496039,0.00014155259,0.00089574297,0.000024448731,0.000025597798,0.00013495571,0.000024637737,0.9651449,0.008286307,0.022121077,0.003166885,0.00002540804],"about_ca_topic_score_codex":0.0010396596,"about_ca_topic_score_gemma":0.0009830091,"teacher_disagreement_score":0.0011347363,"about_ca_system_score_codex":0.00060169084,"about_ca_system_score_gemma":0.0006552172,"threshold_uncertainty_score":0.006001115},"labels":[],"label_agreement":null},{"id":"W4312780966","doi":"10.1109/pesgm48719.2022.9916724","title":"Analytical, State-Space, Full Bridge MMC model","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Bridge (graph theory); State-space representation; Harmonic; Eigenvalues and eigenvectors; State space; Autoregressive model; Harmonic analysis; Computer science; Modulation (music); Modulation index; Range (aeronautics); Topology (electrical circuits); Engineering; Mathematics; Algorithm; Electronic engineering; Physics; Pulse-width modulation; Voltage; Control (management); Artificial intelligence; Electrical engineering","score_opus":0.02005716267267387,"score_gpt":0.2380456860541313,"score_spread":0.2179885233814574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312780966","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":[0.016327705,0.0003233812,0.9158931,0.00031685317,0.0001041392,0.00016922622,0.0007231458,0.0010990637,0.06504342],"genre_scores_gemma":[0.8312646,0.0011882691,0.09142593,0.0002373227,0.00010041116,0.00063690444,0.0011849648,0.00023795181,0.07372361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998242,0.000026411419,0.000008228544,0.000032095504,0.000094712916,0.000014371544],"domain_scores_gemma":[0.999846,0.000035211404,0.000018766132,0.00001782949,0.00007659535,0.0000056174563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021379397,0.00053837214,0.00054333755,0.00046985774,0.00041910322,0.0011784616,0.0014723935,0.00095194636,0.008502808],"category_scores_gemma":[0.0005112194,0.00029007316,0.00050221797,0.0004965984,0.00040549083,0.00097382674,0.00044427658,0.0009354259,0.002667369],"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":[0.00003934699,0.00004633013,0.00029510865,0.00016253568,0.00001743405,0.00016043523,0.00011528441,0.9253113,0.0075333333,0.039977685,0.0025317334,0.02380944],"study_design_scores_gemma":[0.00000491665,0.000019632871,0.00008591649,0.000006435888,0.0000046315354,0.000031355827,0.000011432416,0.9916477,0.00083093,0.0031772389,0.004174859,0.0000048662932],"about_ca_topic_score_codex":0.0049295365,"about_ca_topic_score_gemma":0.0033830532,"teacher_disagreement_score":0.008502808,"about_ca_system_score_codex":0.0007561251,"about_ca_system_score_gemma":0.0008456358,"threshold_uncertainty_score":0.028444707},"labels":[],"label_agreement":null},{"id":"W4312786875","doi":"10.1109/pesgm48719.2022.9916812","title":"Duck-curve Mitigation in Power Grids with High Penetration of PV Generation","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":5,"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":"","keywords":"Penetration (warfare); Electricity generation; Environmental science; Power grid; Electrical engineering; Power (physics); Nuclear engineering; Materials science; Engineering; Physics; Operations research","score_opus":0.00803790246504773,"score_gpt":0.21100920588394342,"score_spread":0.2029713034188957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312786875","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":[0.9336404,0.00009219634,0.06013998,0.00012194453,0.000015036535,0.000048164846,0.00008523475,0.0003714556,0.0054855347],"genre_scores_gemma":[0.9978382,0.000022517517,0.0017867095,0.000007139423,0.0000016718308,0.000004814636,0.000014724526,0.000009040332,0.00031518802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987864,0.000046208716,0.0000030240453,0.000017172788,0.00002556133,0.000029514607],"domain_scores_gemma":[0.9997937,0.00008673774,0.000032052987,0.000033516684,0.000038223996,0.00001579363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022418432,0.0002968427,0.00039464992,0.00015586505,0.0002886915,0.0004105001,0.00035262213,0.00024601063,0.0006909858],"category_scores_gemma":[0.00046730688,0.00014155841,0.00019418,0.0002900718,0.0003024666,0.00049695716,0.00031363737,0.00037784336,0.00008136105],"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":[0.00017689298,0.0000822112,0.007983887,0.000060505823,0.000023954297,0.00036141652,0.00011820632,0.9604455,0.011778901,0.0016319405,0.00062085304,0.016715685],"study_design_scores_gemma":[0.00001968101,0.00022139531,0.005582719,0.0000059820304,0.000011140331,0.00006834903,0.00015607753,0.98378515,0.008082156,0.0011214403,0.00093699724,0.00000893791],"about_ca_topic_score_codex":0.0075955754,"about_ca_topic_score_gemma":0.012181951,"teacher_disagreement_score":0.0075955754,"about_ca_system_score_codex":0.0005434119,"about_ca_system_score_gemma":0.0003470375,"threshold_uncertainty_score":0.015102744},"labels":[],"label_agreement":null},{"id":"W4312833805","doi":"10.1109/pesgm48719.2022.9917195","title":"A Robust Controller Design for Mitigating Control Loop Interactions in Multi-VSC Systems Built by Multiple Vendors","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Controller (irrigation); Control theory (sociology); Voltage source; Computer science; MATLAB; Control engineering; Control system; Stability (learning theory); Control (management); Voltage; Engineering","score_opus":0.043965738092263666,"score_gpt":0.25391740454224215,"score_spread":0.20995166644997848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312833805","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":[0.005279417,0.00018067713,0.9920603,0.00005598579,0.000037599595,0.000055428234,0.00001754942,0.0004495229,0.0018635717],"genre_scores_gemma":[0.74990606,0.0002898773,0.24618587,0.0001223795,0.00008675102,0.0003025847,0.00010426277,0.000075028714,0.0029272034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993167,0.00011140146,0.000041835352,0.00020038613,0.00027904668,0.000050757488],"domain_scores_gemma":[0.99947816,0.00016089804,0.00011400612,0.000053981126,0.00017630505,0.000016680826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007898351,0.0009930587,0.000613857,0.00042846694,0.00044949088,0.00094614713,0.0008959809,0.00088180945,0.0021051713],"category_scores_gemma":[0.0012897803,0.0003281804,0.0005694781,0.00022624253,0.0004445414,0.0005338526,0.0006158847,0.00076354115,0.00050371955],"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":[0.00016781654,0.00008103501,0.00030999674,0.00041900898,0.00012795869,0.0003030436,0.00019297338,0.728496,0.069853455,0.016427586,0.0016727074,0.18194842],"study_design_scores_gemma":[0.00003564896,0.0002445543,0.00013721366,0.000018070823,0.000029717585,0.00006851416,0.000011662917,0.9867132,0.009724383,0.00090570276,0.0020971159,0.000014320345],"about_ca_topic_score_codex":0.0017243351,"about_ca_topic_score_gemma":0.0015701551,"teacher_disagreement_score":0.0021051713,"about_ca_system_score_codex":0.0004556509,"about_ca_system_score_gemma":0.00086721673,"threshold_uncertainty_score":0.007042527},"labels":[],"label_agreement":null},{"id":"W4312896340","doi":"10.1109/pesgm48719.2022.9917208","title":"How much should transmission facility owners be compensated for wildfire mitigation?","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"BAH Enterprises (Canada)","funders":"","keywords":"Transmission (telecommunications); Computer science; Business; Telecommunications","score_opus":0.05947044994341988,"score_gpt":0.2790265918867208,"score_spread":0.21955614194330092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312896340","genre_codex":"commentary","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":[0.034388356,0.018666431,0.0023002792,0.6385395,0.0026194586,0.00033297788,0.0015599865,0.00007415576,0.30151883],"genre_scores_gemma":[0.67518044,0.021301426,0.003983222,0.19047633,0.0019720148,0.0004753573,0.0008863164,0.00006950123,0.10565531],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99032295,0.004038238,0.0004809101,0.00048587713,0.002924916,0.0017469928],"domain_scores_gemma":[0.9713442,0.015134374,0.0031197297,0.0008164172,0.0081677865,0.0014174491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011168832,0.00040279402,0.00045543548,0.0013730929,0.0019203449,0.0062148953,0.002488109,0.009099881,0.042578004],"category_scores_gemma":[0.054645963,0.00031533255,0.0007787985,0.0016674831,0.002465716,0.0069178944,0.0012965649,0.004874395,0.003149464],"study_design_candidate":"theoretical_or_conceptual","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":[0.00096270797,0.0005052592,0.029385366,0.0039484655,0.00032867293,0.0010153954,0.0019983854,0.0019418196,0.0021470548,0.24416734,0.3934607,0.32013875],"study_design_scores_gemma":[0.00041910794,0.0005411033,0.059016813,0.011335692,0.0008620647,0.000566754,0.015166502,0.0012073768,0.0039721383,0.05563767,0.85111725,0.0001575417],"about_ca_topic_score_codex":0.0587305,"about_ca_topic_score_gemma":0.09273366,"teacher_disagreement_score":0.0587305,"about_ca_system_score_codex":0.007572524,"about_ca_system_score_gemma":0.015387888,"threshold_uncertainty_score":0.14243764},"labels":[],"label_agreement":null},{"id":"W4312942837","doi":"10.1109/pesgm48719.2022.9917047","title":"Robust Sizing of Solar-Powered Charging Station with Co-located Energy Storage","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"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 Alberta","funders":"","keywords":"Sizing; Photovoltaic system; Automotive engineering; Energy storage; Battery (electricity); State of charge; Computer science; Charging station; Electric vehicle; Electrical engineering; Engineering; Environmental science; Power (physics)","score_opus":0.010541075763609374,"score_gpt":0.1995618901756656,"score_spread":0.18902081441205623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312942837","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":[0.40978375,0.0003294792,0.5818953,0.00021345804,0.000038875118,0.0001565241,0.00021505283,0.00044198163,0.006925627],"genre_scores_gemma":[0.983422,0.000039949417,0.015783828,0.000009063556,0.000004500739,0.000026213265,0.00003473773,0.000021513639,0.00065826933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997147,0.00008040458,0.000013794486,0.000075861,0.00006577029,0.000049407965],"domain_scores_gemma":[0.9992099,0.00045674003,0.00015616255,0.00006228659,0.00007731919,0.000037647056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005680965,0.0007405148,0.0008107685,0.00034251183,0.0002533034,0.0008941835,0.00065160537,0.0004941014,0.0016648846],"category_scores_gemma":[0.0015988499,0.0006438936,0.00061277096,0.0004820121,0.00052519445,0.000997025,0.0004167582,0.00050613855,0.00019802817],"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":[0.000036911948,0.000012422269,0.0002550597,0.000014974116,0.000014882362,0.00001547918,0.000006379348,0.99395186,0.0015406059,0.0005383736,0.00005604821,0.0035569884],"study_design_scores_gemma":[0.00000955956,0.000052961663,0.00027639288,0.0000015731295,0.000009819868,0.000009174394,0.000007743288,0.9977817,0.0011274173,0.00060288806,0.00011788647,0.0000029158514],"about_ca_topic_score_codex":0.004015683,"about_ca_topic_score_gemma":0.0051123295,"teacher_disagreement_score":0.004015683,"about_ca_system_score_codex":0.0011191549,"about_ca_system_score_gemma":0.0009764397,"threshold_uncertainty_score":0.00812006},"labels":[],"label_agreement":null},{"id":"W4312946966","doi":"10.1109/pesgm48719.2022.9916595","title":"Synchrophasor Assisted Power Swing Detection Scheme for Wind Integrated Transmission Network","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":3,"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 Calgary","funders":"","keywords":"Phasor; Swing; Electric power system; Wind power; Real Time Digital Simulator; Voltage; Computer science; Electric power transmission; Fault (geology); Engineering; Electronic engineering; Power (physics); Electrical engineering","score_opus":0.013129074782802641,"score_gpt":0.22550406979211335,"score_spread":0.2123749950093107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312946966","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":[0.17620549,0.0003308305,0.81921375,0.00006632309,0.00006897194,0.00011768696,0.000115605006,0.0017349874,0.002146315],"genre_scores_gemma":[0.9229295,0.000118854514,0.075738266,0.000020609566,0.000015436352,0.000045101286,0.00009145854,0.000011250306,0.001029502],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990535,0.00002384069,0.0000071840977,0.000018105087,0.00003791992,0.000007694779],"domain_scores_gemma":[0.9998872,0.000024718558,0.00002681271,0.000017948267,0.00003515357,0.000008093652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012120208,0.0003405332,0.00023369557,0.00034516418,0.00016685043,0.00021497707,0.00032599914,0.00020489687,0.0008805933],"category_scores_gemma":[0.0003039081,0.00011246507,0.00009504504,0.00029004412,0.00009947339,0.00028458683,0.00017369314,0.00021281287,0.00019489747],"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":[0.001118496,0.00024564334,0.0027340155,0.00025200925,0.0000535876,0.00024333758,0.00017392989,0.059079967,0.23299184,0.002028323,0.0017312804,0.69934756],"study_design_scores_gemma":[0.00010457764,0.0010228974,0.004848634,0.000028522125,0.000048476053,0.00048626,0.00003886774,0.92179334,0.06792893,0.0008109819,0.002865597,0.000022900082],"about_ca_topic_score_codex":0.0004339108,"about_ca_topic_score_gemma":0.00092285476,"teacher_disagreement_score":0.0008805933,"about_ca_system_score_codex":0.00011628802,"about_ca_system_score_gemma":0.00015541997,"threshold_uncertainty_score":0.0029459},"labels":[],"label_agreement":null},{"id":"W4312951199","doi":"10.1109/pesgm48719.2022.9916784","title":"Improving Numerical Accuracy in Time-Domain Simulation for Power Electronics Circuits","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada); Polytechnique Montréal","funders":"","keywords":"Classification of discontinuities; Time domain; Interpolation (computer graphics); Computer science; Power electronics; Electronics; Electronic circuit; Electronic engineering; Power (physics); Numerical integration; Electric power system; Algorithm; Electrical engineering; Engineering; Voltage; Mathematics; Telecommunications","score_opus":0.009758058616164942,"score_gpt":0.23710790162326922,"score_spread":0.22734984300710429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312951199","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":[0.029074121,0.00081679056,0.96556294,0.00019305131,0.00011665451,0.000038827642,0.000040152612,0.0006537167,0.0035036863],"genre_scores_gemma":[0.5183473,0.0010647273,0.47797918,0.00010345261,0.000039819428,0.00006858372,0.00012371033,0.00028204726,0.001991189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998437,0.00038628333,0.000096652184,0.00011033553,0.0008636009,0.00010611634],"domain_scores_gemma":[0.9954978,0.0026190989,0.00027353258,0.00054674986,0.0010020714,0.000060698676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016943363,0.00055754016,0.0006072828,0.0004531166,0.0005314615,0.0009805678,0.0009240206,0.0008908657,0.0015895314],"category_scores_gemma":[0.009990143,0.00023976596,0.00052596896,0.0007358971,0.0005043001,0.0011084524,0.0007817258,0.0011311948,0.00050068676],"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":[0.00020888781,0.000089107525,0.0033887625,0.00032311672,0.000043788354,0.00020475654,0.0003735605,0.82417613,0.038264707,0.025240302,0.0013899576,0.106296994],"study_design_scores_gemma":[0.000009002781,0.000029963629,0.0002357809,0.0000207133,0.0000093764575,0.000043045944,0.000015757381,0.9854172,0.009983477,0.0021061269,0.002119899,0.000009764936],"about_ca_topic_score_codex":0.0036796345,"about_ca_topic_score_gemma":0.002482932,"teacher_disagreement_score":0.0036796345,"about_ca_system_score_codex":0.00058423047,"about_ca_system_score_gemma":0.000821802,"threshold_uncertainty_score":0.008960605},"labels":[],"label_agreement":null},{"id":"W4312953719","doi":"10.1109/pesgm48719.2022.9917141","title":"Optimal Coordination of Phasor Data Concentrators in Hierarchical Synchrophasor Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Power Systems and Renewable Energy","field":"Energy","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":"Polytechnique Montréal","funders":"","keywords":"Phasor; Computer science; Electric power system; Power (physics); Physics","score_opus":0.021678911899854984,"score_gpt":0.26172398233984745,"score_spread":0.24004507043999246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312953719","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":[0.04057317,0.00014163736,0.95689887,0.000103444305,0.000016930535,0.00004203993,0.000047236477,0.00013788766,0.0020387494],"genre_scores_gemma":[0.9195583,0.00019139901,0.07858404,0.000031076026,0.000018505538,0.000066816196,0.000052188578,0.00003133757,0.0014662769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999461,0.00015740065,0.000027449836,0.00011863017,0.000119785655,0.00011587979],"domain_scores_gemma":[0.9990971,0.00047240217,0.00018976296,0.000049334798,0.00012619956,0.00006520371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008809864,0.00055602763,0.0005468175,0.00040224934,0.00041509452,0.0008468816,0.00067100726,0.00045704006,0.0009813363],"category_scores_gemma":[0.002440947,0.000364105,0.00028587857,0.000632809,0.0006025743,0.0007903362,0.00081440934,0.00058255065,0.00015464197],"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":[0.000032344156,0.000012657556,0.00018766416,0.000023224882,0.0000052947316,0.000018687131,0.00003536299,0.98265034,0.0015288517,0.0074901194,0.00030009393,0.0077152927],"study_design_scores_gemma":[0.000004192599,0.000017813783,0.00005244487,0.0000018680463,0.0000021165256,0.0000038747335,0.0000098096925,0.99748284,0.00036168657,0.001911541,0.00014930582,0.0000025292484],"about_ca_topic_score_codex":0.0071562063,"about_ca_topic_score_gemma":0.0072211283,"teacher_disagreement_score":0.0071562063,"about_ca_system_score_codex":0.0014900664,"about_ca_system_score_gemma":0.0016288317,"threshold_uncertainty_score":0.014229059},"labels":[],"label_agreement":null},{"id":"W4312991998","doi":"10.1109/pesgm48719.2022.9917110","title":"Detection of Cyber-Physical Attacks Using Optimal Recursive Least Square in an Islanded Microgrid","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Control theory (sociology); Microgrid; Network topology; Particle swarm optimization; Sensitivity (control systems); Physical layer; Square (algebra); Recursive least squares filter; Covariance matrix; Forgetting; Mathematical optimization; Algorithm; Engineering; Mathematics; Electronic engineering; Control (management); Telecommunications; Wireless","score_opus":0.01451544160343214,"score_gpt":0.24852373583218224,"score_spread":0.2340082942287501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312991998","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":[0.17595853,0.00022241354,0.8212588,0.00019710966,0.000029536282,0.000038028124,0.000015028922,0.0009308285,0.0013497546],"genre_scores_gemma":[0.9554834,0.000054274708,0.044014268,0.00003248785,0.000005707244,0.000018301136,0.000013720715,0.000015887917,0.0003619555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997079,0.00009923357,0.000018378454,0.00007122845,0.00007206663,0.00003122904],"domain_scores_gemma":[0.999225,0.00046116416,0.00012474692,0.00004722291,0.00012230808,0.000019507374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067678903,0.00054706197,0.00061658886,0.00018785706,0.00022507294,0.00044857015,0.0004229266,0.0004949765,0.00033358933],"category_scores_gemma":[0.0019815802,0.0002605973,0.0002779199,0.00018317995,0.00040971057,0.00047726545,0.0003760316,0.00056984054,0.000082687446],"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":[0.00018183583,0.00006355771,0.0018824568,0.0000628237,0.000053968146,0.00015569062,0.00011142614,0.9283123,0.010013216,0.0014979441,0.00034465626,0.05732012],"study_design_scores_gemma":[0.0000032877037,0.000026041147,0.00012933128,0.0000011222969,0.0000032500516,0.0000075820994,0.0000031649547,0.99895465,0.0007503256,0.00009256959,0.000026582231,0.000002020406],"about_ca_topic_score_codex":0.005151435,"about_ca_topic_score_gemma":0.0036822069,"teacher_disagreement_score":0.005151435,"about_ca_system_score_codex":0.0003143912,"about_ca_system_score_gemma":0.00047460085,"threshold_uncertainty_score":0.010242879},"labels":[],"label_agreement":null},{"id":"W4313000774","doi":"10.1109/pesgm48719.2022.9917056","title":"Time-Stepped Finite-Element Modeling of Three-Phase Transformer for Electromagnetic Transient Emulation on FPGA","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Real-time simulation and control 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 Alberta","funders":"","keywords":"Field-programmable gate array; Finite element method; Solver; Transformer; Computer science; Emulation; Electronic engineering; Voltage; Electrical engineering; Engineering; Computer hardware","score_opus":0.017456808085078133,"score_gpt":0.2433893093871929,"score_spread":0.22593250130211476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313000774","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":[0.044808,0.00009048089,0.93965286,0.00009193977,0.000046122856,0.00008693483,0.00019535862,0.002356314,0.012672006],"genre_scores_gemma":[0.66150486,0.00016784493,0.32779357,0.000051255658,0.000009562636,0.00026357145,0.0003006927,0.00019563902,0.009713036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993324,0.000016311724,0.0000036316217,0.00000783117,0.000031980024,0.0000071160543],"domain_scores_gemma":[0.9999033,0.000035750767,0.000009257982,0.000018776876,0.000027745342,0.0000050253143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013399578,0.0003728367,0.00021645654,0.00017113154,0.00016181113,0.00024911112,0.00054929854,0.00029011298,0.006096129],"category_scores_gemma":[0.00025185803,0.00016425498,0.00023139766,0.00013190179,0.00013597902,0.00024478856,0.00019006142,0.0003330307,0.00077733153],"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":[0.00010692827,0.00005783528,0.0008833192,0.00013557887,0.000022443543,0.00014964966,0.00010918709,0.8890981,0.044045016,0.009706158,0.0027219513,0.052963838],"study_design_scores_gemma":[0.000008678222,0.000025436073,0.00011592567,0.0000050159065,0.0000030896208,0.000023661501,0.000008924134,0.99005884,0.0065973643,0.00038467278,0.0027650492,0.000003371566],"about_ca_topic_score_codex":0.0021005895,"about_ca_topic_score_gemma":0.002550495,"teacher_disagreement_score":0.006096129,"about_ca_system_score_codex":0.00019924334,"about_ca_system_score_gemma":0.00039575002,"threshold_uncertainty_score":0.02039355},"labels":[],"label_agreement":null},{"id":"W4313024944","doi":"10.1109/pesgm48719.2022.9916720","title":"LMP-Based Day-Ahead Electricity Market Design Considering the Participation of DR and BESS","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Energy Management","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":"","keywords":"Demand response; Electricity market; Renewable energy; Electricity; Grid; Computer science; Settlement (finance); Integer programming; Reliability engineering; Electric power system; Operations research; Environmental economics; Engineering; Economics; Electrical engineering; Power (physics); Mathematics","score_opus":0.02323801296313731,"score_gpt":0.23144847297005572,"score_spread":0.2082104600069184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313024944","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":[0.034584843,0.00019860339,0.94880456,0.00037879348,0.000060889797,0.00020859895,0.00019110269,0.00025896193,0.015313563],"genre_scores_gemma":[0.9359121,0.00014844141,0.058119383,0.000093064904,0.000035293215,0.00023366523,0.000117008734,0.0000934018,0.005247715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994147,0.00026343373,0.000016791264,0.000096083975,0.00011020958,0.000098868324],"domain_scores_gemma":[0.999302,0.00038685737,0.000093469964,0.000020237869,0.00013643577,0.00006094551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012434822,0.001029569,0.0013406492,0.00042659178,0.00044068904,0.0016872463,0.0018618044,0.0015322289,0.0070179203],"category_scores_gemma":[0.0019171834,0.00085766526,0.00071503647,0.00047345518,0.0005859254,0.001287706,0.0010683775,0.0013135368,0.00047988878],"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":[0.000031561518,0.000024037885,0.000108082786,0.000032528966,0.000012861339,0.000063596846,0.000014105562,0.9888995,0.0005314537,0.005965212,0.0003823069,0.0039346977],"study_design_scores_gemma":[0.00000472665,0.0000149114885,0.000020849648,0.0000010384924,0.0000024329618,0.0000063135185,0.0000054382194,0.9988563,0.00007348532,0.00089374534,0.000118797434,0.0000019839254],"about_ca_topic_score_codex":0.0039280234,"about_ca_topic_score_gemma":0.00573797,"teacher_disagreement_score":0.0070179203,"about_ca_system_score_codex":0.0012268224,"about_ca_system_score_gemma":0.0016301877,"threshold_uncertainty_score":0.023477256},"labels":[],"label_agreement":null},{"id":"W4313040594","doi":"10.1109/pesgm48719.2022.9916987","title":"Two-Core Parallel Network Solution for NovaCor® Real-Time Digital Simulator","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"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":"Cholesky decomposition; Computer science; Parallel computing; Node (physics); Decomposition; Computation; Chassis; Transient (computer programming); Simulation; Algorithm; Engineering; Operating system","score_opus":0.01455343601171021,"score_gpt":0.2342375337214012,"score_spread":0.21968409770969097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313040594","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":[0.019443896,0.00015134815,0.9281139,0.00036484105,0.00016111389,0.00016768217,0.0005861514,0.0047872253,0.046223734],"genre_scores_gemma":[0.2795024,0.0003607642,0.6768332,0.00023282674,0.000051694642,0.0008150042,0.0021238262,0.0013271959,0.03875308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998286,0.00004858139,0.000008483227,0.000017373715,0.00007496757,0.000021954247],"domain_scores_gemma":[0.9997068,0.00009551365,0.000018683615,0.00004401405,0.00011144878,0.00002353181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033623574,0.000499858,0.00032403215,0.00026695087,0.00036231193,0.0005847042,0.0011171811,0.0005562651,0.01507437],"category_scores_gemma":[0.00096264726,0.00024084807,0.00038079516,0.00040903,0.00022751685,0.00061787694,0.00045600955,0.0008275424,0.002236665],"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":[0.00021983433,0.00010440203,0.0010296262,0.00024469412,0.00004295902,0.00019755196,0.00016413846,0.83529204,0.014383278,0.06362391,0.022503763,0.062193885],"study_design_scores_gemma":[0.000023363284,0.000020369871,0.000074711905,0.0000070027445,0.000003830701,0.000027278025,0.000012162152,0.98005337,0.0026001015,0.00264784,0.014524459,0.000005475762],"about_ca_topic_score_codex":0.004230197,"about_ca_topic_score_gemma":0.0062317043,"teacher_disagreement_score":0.01507437,"about_ca_system_score_codex":0.0006302383,"about_ca_system_score_gemma":0.0012060627,"threshold_uncertainty_score":0.050428808},"labels":[],"label_agreement":null},{"id":"W4313050519","doi":"10.1109/pesgm48719.2022.9916995","title":"State-of-Charge Prediction of Degrading Li-ion Batteries Using an Adaptive Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"State of charge; Kriging; Support vector machine; Random forest; Battery (electricity); Computer science; Gaussian process; Ground-penetrating radar; State of health; Linear regression; Artificial intelligence; Power (physics); Machine learning; Gaussian; Radar; Chemistry; Telecommunications","score_opus":0.036665953911982664,"score_gpt":0.255528295928862,"score_spread":0.21886234201687935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313050519","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.702965,0.0005031514,0.29282576,0.0001646432,0.00005077676,0.000037969843,0.00013911526,0.0011881158,0.0021254045],"genre_scores_gemma":[0.9922907,0.00007071839,0.007082919,0.000014795515,0.0000071990085,0.000013747446,0.00008737137,0.00000854403,0.00042411496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991715,0.000016526668,0.000007709789,0.000022236964,0.00002240011,0.000013932972],"domain_scores_gemma":[0.99974245,0.00010601802,0.000035909154,0.000018622462,0.00008910907,0.000007891536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029532914,0.0004613793,0.0003971226,0.0003351654,0.00013336951,0.0003605438,0.00037159436,0.00037677505,0.00036175363],"category_scores_gemma":[0.0011310256,0.00014952954,0.00030103856,0.00027854834,0.00012973606,0.00035896327,0.00018445714,0.0003882763,0.00015369306],"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":[0.00011120604,0.00008819677,0.00849108,0.00004113192,0.000041000447,0.000076635675,0.00004407789,0.9171286,0.0080116475,0.00023568017,0.00036409614,0.06536672],"study_design_scores_gemma":[9.535892e-7,0.000014908341,0.00094616663,9.79891e-7,0.000002532638,0.0000054899774,0.000003869277,0.9981902,0.00074588176,0.000054223983,0.000032722786,0.0000021570754],"about_ca_topic_score_codex":0.0064248717,"about_ca_topic_score_gemma":0.006109251,"teacher_disagreement_score":0.0064248717,"about_ca_system_score_codex":0.000248878,"about_ca_system_score_gemma":0.0002633219,"threshold_uncertainty_score":0.012774944},"labels":[],"label_agreement":null},{"id":"W4313060059","doi":"10.1109/pesgm48719.2022.9917115","title":"Voltage-State Estimation in Non-Gaussian Noisy Environments","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":2,"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 Toronto","funders":"","keywords":"Kalman filter; Gaussian; Computer science; Ensemble Kalman filter; Estimator; Extended Kalman filter; Gaussian noise; Computation; Invariant extended Kalman filter; Algorithm; Unscented transform; Control theory (sociology); Mathematics; Artificial intelligence; Statistics","score_opus":0.010465859715675345,"score_gpt":0.23016649412913445,"score_spread":0.2197006344134591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313060059","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":[0.043998927,0.00013593036,0.954174,0.00007972261,0.00002518375,0.0000155509,0.000053675703,0.00037861516,0.001138502],"genre_scores_gemma":[0.93341625,0.00020393184,0.06494784,0.000047104248,0.000020374959,0.00002634539,0.00013917411,0.000045600522,0.0011533314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994361,0.00016937313,0.000019876297,0.00012990784,0.00018924549,0.00005558],"domain_scores_gemma":[0.9986822,0.00086113124,0.00014688371,0.00012867087,0.00016070246,0.000020307323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006754443,0.0004721795,0.00066450145,0.0002877761,0.0002807153,0.0007607547,0.00049878046,0.0006370607,0.00070432376],"category_scores_gemma":[0.004698914,0.0002540084,0.00022830676,0.00045493414,0.0006977497,0.001464739,0.00064078096,0.00067765196,0.0002529829],"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":[0.000086610555,0.00002541627,0.001074271,0.000040959483,0.000016368118,0.000078032695,0.00006540146,0.9536636,0.0037440353,0.0042713964,0.00036294182,0.036571037],"study_design_scores_gemma":[0.0000035808187,0.000018519739,0.00041623288,0.0000032822827,0.0000019292675,0.000015274569,0.000007313569,0.99462235,0.0019389392,0.0027250024,0.00024265106,0.0000048684183],"about_ca_topic_score_codex":0.006277685,"about_ca_topic_score_gemma":0.005777485,"teacher_disagreement_score":0.006277685,"about_ca_system_score_codex":0.0005401104,"about_ca_system_score_gemma":0.0005180165,"threshold_uncertainty_score":0.0124822855},"labels":[],"label_agreement":null},{"id":"W4313066261","doi":"10.1109/pesgm48719.2022.9917117","title":"Online Application of Local OOS Protection and Graph Theory for Controlled Islanding","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":0,"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 Saskatchewan","funders":"","keywords":"Islanding; Computer science; Graph theory; Electrical engineering; Mathematics; Engineering; Distributed generation; Renewable energy; Combinatorics","score_opus":0.010344344182747784,"score_gpt":0.22152126698647348,"score_spread":0.2111769228037257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313066261","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":[0.08782669,0.00012257276,0.9008289,0.00009427145,0.00003828343,0.000078052995,0.00008501118,0.0022601576,0.008665979],"genre_scores_gemma":[0.9195281,0.00007206247,0.0785713,0.000022706643,0.000008729997,0.000039871513,0.000084195184,0.0001222781,0.001550594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997887,0.000074074684,0.0000063921652,0.000041850722,0.00006971805,0.00001925674],"domain_scores_gemma":[0.9994867,0.00026913555,0.000058087862,0.000102266175,0.000058598303,0.000025110592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002786554,0.00039778947,0.00029337563,0.00047670305,0.00018614817,0.00043253417,0.0005504411,0.00022869019,0.0026311534],"category_scores_gemma":[0.0012269667,0.00012378536,0.00028604572,0.0002781959,0.00048916024,0.0006662066,0.0004709811,0.00040338116,0.00018394217],"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":[0.00011250483,0.000089295696,0.0008869154,0.000106959014,0.000024492396,0.000091690934,0.000086556276,0.8830759,0.01255297,0.029110508,0.0009529172,0.07290938],"study_design_scores_gemma":[0.000007523363,0.000032679003,0.00017282905,0.000002134054,0.0000031887835,0.000009764854,0.000008130197,0.9931225,0.0017684147,0.004474535,0.00039518016,0.0000031091402],"about_ca_topic_score_codex":0.0035446268,"about_ca_topic_score_gemma":0.0029143074,"teacher_disagreement_score":0.0035446268,"about_ca_system_score_codex":0.00047312383,"about_ca_system_score_gemma":0.00034896456,"threshold_uncertainty_score":0.008802116},"labels":[],"label_agreement":null},{"id":"W4313070537","doi":"10.1109/pesgm48719.2022.9916897","title":"Measurement-based Locational Marginal Pricing in Active Distribution Systems","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":3,"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 British Columbia","funders":"","keywords":"Mathematical optimization; Computer science; Constraint (computer-aided design); Sensitivity (control systems); Linear programming; Quadratic programming; Quadratic equation; Power flow; Point (geometry); AC power; Nonlinear system; Nonlinear programming; Distribution (mathematics); Power (physics); Electric power system; Voltage; Mathematics; Engineering; Electronic engineering","score_opus":0.015194923287721434,"score_gpt":0.21545902250574253,"score_spread":0.2002640992180211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313070537","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":[0.013713862,0.00008773536,0.98458755,0.000057140707,0.000018770024,0.000016798393,0.000048359507,0.00046394032,0.0010059355],"genre_scores_gemma":[0.88456166,0.0001111113,0.11397243,0.000031756597,0.00003500743,0.000051771684,0.00013716526,0.00012949001,0.0009696005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990477,0.00043005374,0.00003354717,0.00013528125,0.00028235017,0.00007100961],"domain_scores_gemma":[0.99865097,0.0007724843,0.00015211118,0.00019515691,0.0001846773,0.00004461381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012003039,0.0007618102,0.0008523551,0.00058269507,0.0003317913,0.0013435341,0.001652605,0.00058018323,0.0019513227],"category_scores_gemma":[0.006102095,0.0007004527,0.00044870956,0.0008266904,0.0006854812,0.0022291818,0.000891184,0.0013636773,0.00036122827],"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":[0.00008598096,0.00004073929,0.0010461159,0.000055294422,0.000028956443,0.0000607156,0.00006008876,0.9298304,0.0018268602,0.017744606,0.0006116077,0.048608575],"study_design_scores_gemma":[0.0000027215733,0.0000071956406,0.00012108958,0.000001574456,0.0000016635167,0.000010669717,0.0000037537084,0.99586123,0.0004874554,0.0032737325,0.0002239666,0.00000500206],"about_ca_topic_score_codex":0.0053442977,"about_ca_topic_score_gemma":0.0044834763,"teacher_disagreement_score":0.0053442977,"about_ca_system_score_codex":0.000904929,"about_ca_system_score_gemma":0.0009968684,"threshold_uncertainty_score":0.010626376},"labels":[],"label_agreement":null},{"id":"W4313141255","doi":"10.1109/pesgm48719.2022.9916980","title":"Analyzing Investment Strategies for Power System Resilience","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":4,"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 Saskatchewan","funders":"","keywords":"Risk analysis (engineering); Reliability (semiconductor); Reliability engineering; Resilience (materials science); Electric power system; Investment (military); Computer science; Psychological resilience; Work (physics); Power (physics); Engineering; Business","score_opus":0.009830885727450589,"score_gpt":0.2321109433948143,"score_spread":0.22228005766736372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313141255","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":[0.50188375,0.0053133736,0.33366564,0.011593483,0.00010592562,0.00039956416,0.00058724487,0.00020196682,0.14624904],"genre_scores_gemma":[0.98774683,0.001216493,0.007825901,0.00008050482,0.000020499647,0.00010085912,0.00004642491,0.000019479585,0.002943002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998845,0.00063489744,0.000035307905,0.000096612865,0.0001528064,0.00023534594],"domain_scores_gemma":[0.99620724,0.0027507811,0.00045110373,0.00014876576,0.000275608,0.00016642807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026312545,0.0006964198,0.00040001408,0.0013298322,0.00043214593,0.0027457685,0.00074637425,0.0014211845,0.0051193167],"category_scores_gemma":[0.012120946,0.00037801234,0.00044833953,0.0013473245,0.0013001369,0.0046078595,0.0011163099,0.0014544894,0.00024473024],"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":[0.000050993818,0.000056259545,0.004221207,0.000121939476,0.00007108151,0.00013912504,0.00012475549,0.37920445,0.0006091772,0.58453673,0.00169961,0.02916474],"study_design_scores_gemma":[0.000016638129,0.00012471518,0.002664117,0.0001099287,0.00005201506,0.00007263232,0.0006745679,0.5675524,0.0005528972,0.4237083,0.0044467743,0.0000251131],"about_ca_topic_score_codex":0.0027402577,"about_ca_topic_score_gemma":0.0027885616,"teacher_disagreement_score":0.0051193167,"about_ca_system_score_codex":0.00393437,"about_ca_system_score_gemma":0.0016503062,"threshold_uncertainty_score":0.028545976},"labels":[],"label_agreement":null}]}