{"meta":{"query_hash":"f521cde53d81","filters":{"venue":"IET Smart Grid"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f521cde53d81","api":"https://metacan.xera.ac/api/v1/cohort?venue=IET+Smart+Grid"},"results":[{"id":"W2902814005","doi":"10.1049/iet-stg.2018.0166","title":"Versatile decentralised control of the DC microgrid","year":2018,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Microgrid; Flexibility (engineering); Battery (electricity); Power Balance; Grid; Energy storage; Computer science; Renewable energy; Power (physics); Modularity (biology); Voltage; Reliability (semiconductor); Direct current; Converters; Control (management); Control theory (sociology); Control engineering; Engineering; Electrical engineering","score_opus":0.0033419874009624883,"score_gpt":0.16692777238310805,"score_spread":0.16358578498214557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902814005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9275013,0.0060239136,0.032438613,0.0016193927,0.019505223,0.0016809563,0.0005158719,0.000879725,0.00983497],"genre_scores_gemma":[0.99872094,0.00009970706,0.0003511136,0.00020344857,0.0005476946,0.000009422603,0.00000898753,0.000020456699,0.000038211925],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936825,0.000023712693,0.00018869115,0.000100597776,0.00010578326,0.0002129524],"domain_scores_gemma":[0.9995565,0.000028122075,0.000039396436,0.00025382533,0.00007968837,0.00004248817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007776814,0.00010864169,0.00014324585,0.000026895657,0.00005730371,0.000017432249,0.00018619485,0.000056505527,0.00023636762],"category_scores_gemma":[0.000020613925,0.00008178158,0.0000885937,0.0001383334,0.00008168996,0.00006329504,0.000018000694,0.00007471574,0.000061859806],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034422724,0.00019147978,0.04912693,0.0002084121,0.0007276406,0.0000060933935,0.0021247684,0.06457469,0.5210675,0.00043647486,0.32857275,0.032619055],"study_design_scores_gemma":[0.0044812453,0.0001232437,0.026459262,0.00007670382,0.00015692068,0.000011255508,0.000047935315,0.15566948,0.2461076,0.0000901148,0.5663218,0.00045445544],"about_ca_topic_score_codex":0.000019021969,"about_ca_topic_score_gemma":0.000035603553,"teacher_disagreement_score":0.2749599,"about_ca_system_score_codex":0.000025311803,"about_ca_system_score_gemma":0.00001611738,"threshold_uncertainty_score":0.33349562},"labels":[],"label_agreement":null},{"id":"W2914984418","doi":"10.1049/iet-stg.2018.0033","title":"New real‐time demand‐side management approach for energy management systems","year":2019,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":27,"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":"Schedule; Energy management system; Energy management; Computer science; Microgrid; Controller (irrigation); Demand side; Control (management); Real-time computing; Energy (signal processing)","score_opus":0.005974474092871992,"score_gpt":0.17829602310520315,"score_spread":0.17232154901233115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914984418","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031386386,0.0005481355,0.4169092,0.00007875387,0.0076126643,0.002082115,0.000028662835,0.0016413887,0.56796044],"genre_scores_gemma":[0.29115054,0.004535765,0.19602327,0.0008158089,0.00860774,0.0054230858,0.0021393585,0.0013714953,0.48993292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99740946,0.00003946114,0.0005500172,0.0006827424,0.00048785712,0.000830437],"domain_scores_gemma":[0.998541,0.00004535438,0.00007791594,0.0010726386,0.000032857824,0.0002302622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003611514,0.00049899734,0.00049921026,0.00032837034,0.00008836458,0.00014576205,0.000597467,0.00013019334,0.0001115521],"category_scores_gemma":[0.0000018189592,0.0005191266,0.00020880415,0.00034792404,0.00001652948,0.00020867975,0.00025291397,0.00010113278,0.000548548],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000347702,0.000045758745,0.00017443825,0.0010022365,0.0008456214,0.000021231415,0.00003365765,0.61543983,0.00015217456,0.032344934,0.34692147,0.0029838728],"study_design_scores_gemma":[0.0017142815,0.0000777762,0.001344706,0.00010289167,0.00021941589,0.000007959849,0.000111039524,0.2538114,0.00033009416,0.00017289916,0.74134135,0.0007662036],"about_ca_topic_score_codex":0.00014686366,"about_ca_topic_score_gemma":0.000006943849,"teacher_disagreement_score":0.39441988,"about_ca_system_score_codex":0.00027874112,"about_ca_system_score_gemma":0.0000090923795,"threshold_uncertainty_score":0.99972606},"labels":[],"label_agreement":null},{"id":"W2926588219","doi":"10.1049/iet-stg.2018.0095","title":"Wind turbine participation in micro‐grid frequency control through self‐tuning, adaptive fuzzy droop in de‐loaded area","year":2019,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":29,"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":"Voltage droop; Control theory (sociology); Wind power; Context (archaeology); Turbine; Automatic frequency control; Inertia; Fuzzy logic; Frequency grid; Computer science; Wind speed; Grid; Renewable energy; Adaptive neuro fuzzy inference system; Engineering; Fuzzy control system; Control (management); Mathematics; Voltage; Meteorology; Physics","score_opus":0.008513598539378959,"score_gpt":0.20905591497024473,"score_spread":0.20054231643086576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926588219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892942,0.0013935659,0.0031884396,0.00021001791,0.0012589694,0.00080794736,0.000054800566,0.00028174816,0.0035103546],"genre_scores_gemma":[0.9969982,0.00014341227,0.0021310628,0.0002076027,0.0002751106,0.00007074573,0.00008198994,0.000046355948,0.00004552139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998465,0.00008598881,0.0004602008,0.000300921,0.00014806574,0.00053983246],"domain_scores_gemma":[0.99945074,0.00008076961,0.00007467571,0.00025981295,0.00006064199,0.000073340336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002459136,0.000263722,0.00037834057,0.00015095419,0.000031610583,0.000040878225,0.00015646698,0.00018575395,0.00014338187],"category_scores_gemma":[0.00003466525,0.00027687792,0.000072464776,0.0003576883,0.00002086147,0.00039360957,0.000019338857,0.00033057746,0.00013196032],"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":[0.00021204636,0.0002734981,0.20827095,0.000113135386,0.00014469566,0.00005520833,0.0046655713,0.6992256,0.08284261,0.0002511928,0.0028500091,0.0010954953],"study_design_scores_gemma":[0.0124148615,0.0003567125,0.18978986,0.00036103398,0.000104522376,0.000019720646,0.00021460444,0.77858835,0.010305587,0.00095767906,0.005713197,0.0011738852],"about_ca_topic_score_codex":0.00030768046,"about_ca_topic_score_gemma":0.00043061867,"teacher_disagreement_score":0.07936275,"about_ca_system_score_codex":0.00027276485,"about_ca_system_score_gemma":0.000052459858,"threshold_uncertainty_score":0.99996835},"labels":[],"label_agreement":null},{"id":"W2971039689","doi":"10.1049/iet-stg.2019.0169","title":"Modelling cascading failure of a CPS for topological resilience enhancement","year":2019,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Infrastructure Resilience and Vulnerability Analysis","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":"University of British Columbia","funders":"Key Technologies Research and Development Program; State Grid Corporation of China","keywords":"Cascading failure; Interdependent networks; Interdependence; Resilience (materials science); Computer science; Distributed computing; Process (computing); Topology (electrical circuits); Adaptation (eye); Node (physics); Reliability engineering; Network topology; Percolation (cognitive psychology); Telecommunications network; Computer network; Complex network; Electric power system; Engineering; Power (physics)","score_opus":0.008525364621628558,"score_gpt":0.22152393017474192,"score_spread":0.21299856555311336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971039689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6706559,0.000065566805,0.32779622,0.000056774043,0.00029988697,0.00019578126,0.000009616486,0.00004156774,0.0008786893],"genre_scores_gemma":[0.9912424,0.000024661242,0.008452329,0.00002265238,0.00011609511,0.000023514798,0.000008127204,0.000009929211,0.00010025382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990939,0.000014973762,0.00026340445,0.00020542317,0.00015660153,0.0002657146],"domain_scores_gemma":[0.99952257,0.00009642797,0.000035946385,0.00024783245,0.000051917043,0.00004532805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020791419,0.00012276678,0.0002517504,0.00006393932,0.00004988465,0.0000136815715,0.00016413307,0.00009006998,0.00024952018],"category_scores_gemma":[0.000021550833,0.00010535844,0.00012948198,0.00016051615,0.000042428404,0.000112796304,0.000021834278,0.00012305341,0.000025313344],"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":[0.000013890165,0.000010294866,0.0017573969,0.00013174136,0.000030017542,4.931355e-7,0.00016400403,0.9795337,0.01668593,0.00074124156,0.0005316537,0.00039964027],"study_design_scores_gemma":[0.0002118151,0.000105783714,0.00014478675,0.000040809322,0.0000308066,0.0000026905334,0.0002182484,0.92770046,0.06571854,0.0010799423,0.0045538163,0.00019231335],"about_ca_topic_score_codex":0.000024404142,"about_ca_topic_score_gemma":0.00001292772,"teacher_disagreement_score":0.32058656,"about_ca_system_score_codex":0.000046028945,"about_ca_system_score_gemma":0.000013811534,"threshold_uncertainty_score":0.42963925},"labels":[],"label_agreement":null},{"id":"W2979814825","doi":"10.1049/iet-stg.2019.0019","title":"Two stages K‐means and PSO‐based method for optimal allocation of multiple parallel DRPs application &amp; deployment","year":2019,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Energy Management","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":"École de Technologie Supérieure","funders":"","keywords":"Humanities; Library science; Engine department; Art history; Engineering; Computer science; Art; Mechanical engineering","score_opus":0.013492751901506618,"score_gpt":0.2593642453624749,"score_spread":0.24587149346096826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979814825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13771683,0.00011493877,0.860133,0.00016869754,0.00047760335,0.0008612839,0.00003505042,0.00019904823,0.00029357837],"genre_scores_gemma":[0.6485586,0.00004761069,0.3500736,0.00008827282,0.00018606022,0.00056219456,0.00022975449,0.000067084766,0.00018683226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901205,0.000029154007,0.00028151588,0.00027607506,0.00017319561,0.00022801402],"domain_scores_gemma":[0.99924546,0.00017446898,0.0000668671,0.00039746222,0.00005486345,0.000060876286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033052854,0.00017822627,0.00021847842,0.0001002027,0.00003479398,0.000019686096,0.00013204645,0.000055393713,0.00002006324],"category_scores_gemma":[0.000018812938,0.00018913849,0.00006367213,0.0001090112,0.000018223398,0.00010210352,0.00003813503,0.000064839995,0.000024102173],"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":[0.000043050004,0.00004450182,0.009485873,0.00021768596,0.00007688682,1.3339273e-7,0.00008482514,0.96799505,0.016319184,0.0006335175,0.0025428443,0.0025564674],"study_design_scores_gemma":[0.0017456842,0.00006373669,0.008966864,0.00002694521,0.000052511285,6.887954e-7,0.00003688412,0.8804268,0.016102394,0.00004810117,0.09227816,0.00025121638],"about_ca_topic_score_codex":0.000116651885,"about_ca_topic_score_gemma":0.00017748194,"teacher_disagreement_score":0.5108418,"about_ca_system_score_codex":0.0000654914,"about_ca_system_score_gemma":0.00001139909,"threshold_uncertainty_score":0.7712844},"labels":[],"label_agreement":null},{"id":"W3005276218","doi":"10.1049/iet-stg.2019.0191","title":"Real‐time stability assessment in smart cyber‐physical grids: a deep learning approach","year":2020,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"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 Guelph","funders":"","keywords":"Smart grid; Computer science; Cyber-physical system; Electric power system; Stability (learning theory); Artificial neural network; Redundancy (engineering); Transient (computer programming); Feed forward; Backpropagation; Real-time computing; Process (computing); Artificial intelligence; Machine learning; Power (physics); Control engineering; Engineering","score_opus":0.012484896722131569,"score_gpt":0.22860581388670548,"score_spread":0.2161209171645739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005276218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782012,0.00008471437,0.001426947,0.0003258054,0.00054962776,0.0003924252,0.000015830099,0.000675985,0.018327465],"genre_scores_gemma":[0.9973341,0.0000936741,0.0013864295,0.00008036361,0.00088065997,0.00007498548,0.00006950371,0.00005396864,0.000026309184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783087,0.00017675609,0.00040419147,0.00055670686,0.00042828126,0.000603175],"domain_scores_gemma":[0.99912965,0.00016376567,0.000046247937,0.00033083552,0.000038305287,0.00029120586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036464242,0.0003294696,0.00049221,0.0000735552,0.0001186139,0.00006952407,0.0003508257,0.00014998301,0.00010751223],"category_scores_gemma":[0.0000894671,0.00032479776,0.00015743483,0.0005657485,0.00010905863,0.00026974943,0.00013899016,0.0010723585,0.00021554707],"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":[0.00028083107,0.0018770463,0.2669931,0.001893742,0.00034946474,0.00028452146,0.04050917,0.57086897,0.09635364,0.0016308366,0.012323561,0.0066350927],"study_design_scores_gemma":[0.00082962133,0.00021738115,0.08211293,0.000041486986,0.000030403751,0.0000099922945,0.0006868069,0.9010072,0.0024252208,0.000089343244,0.0118479,0.0007017594],"about_ca_topic_score_codex":0.00010343781,"about_ca_topic_score_gemma":0.000041113813,"teacher_disagreement_score":0.33013818,"about_ca_system_score_codex":0.00017373827,"about_ca_system_score_gemma":0.000057444584,"threshold_uncertainty_score":0.9999204},"labels":[],"label_agreement":null},{"id":"W3020448597","doi":"10.1049/iet-stg.2019.0286","title":"Blockchain based transactive energy systems for voltage regulation in active distribution networks","year":2020,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":41,"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":"Transactive memory; Blockchain; Distribution (mathematics); Energy (signal processing); Voltage; Computer science; Business; Computer security; Electrical engineering; Knowledge management; Mathematics; Engineering; Statistics","score_opus":0.010704900473486123,"score_gpt":0.20960236353180206,"score_spread":0.19889746305831593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020448597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005226573,0.000111831716,0.99013627,0.0034818281,0.00023960548,0.0004470652,0.00009344915,0.00022725604,0.000036138143],"genre_scores_gemma":[0.9980538,0.000005981751,0.00093225995,0.00029937123,0.0001528215,0.00042158525,0.00011591993,0.0000088644065,0.00000938498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988951,0.000058550846,0.00023936025,0.00043686014,0.00011772854,0.00025239753],"domain_scores_gemma":[0.9992797,0.00013939252,0.00010685699,0.00031410193,0.00008594496,0.00007403207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019536559,0.00013697895,0.00019464508,0.000054839416,0.00012723898,0.000036864563,0.00039667927,0.0002016175,0.0000024283147],"category_scores_gemma":[0.000025251415,0.00014374693,0.00006826775,0.0005986833,0.000046923873,0.00006822151,0.00003386923,0.00016754937,0.0000018557396],"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":[0.00041202185,0.0005693667,0.00065510505,0.000115775845,0.00009963709,0.000015663572,0.0017033177,0.4033406,0.0018965501,0.51060563,0.012347128,0.06823922],"study_design_scores_gemma":[0.0005352733,0.00009356225,0.00090283557,0.000012957789,0.000006250024,0.000001329921,0.000030827934,0.9807291,0.0031791017,0.0017119241,0.012645885,0.00015096425],"about_ca_topic_score_codex":0.00010216627,"about_ca_topic_score_gemma":0.00005266692,"teacher_disagreement_score":0.99282724,"about_ca_system_score_codex":0.00008984614,"about_ca_system_score_gemma":0.000045121582,"threshold_uncertainty_score":0.586183},"labels":[],"label_agreement":null},{"id":"W4213451045","doi":"10.1049/stg2.12059","title":"Vulnerability assessment and defence strategy to site distributed generation in smart grid","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","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 Regina","funders":"","keywords":"Vulnerability (computing); Computer science; Vulnerability assessment; Smart grid; Grid; Computer security; Greedy algorithm; Distributed computing; Engineering; Algorithm; Mathematics","score_opus":0.018233497418720927,"score_gpt":0.26068886339631125,"score_spread":0.24245536597759032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213451045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99443895,0.0001859742,0.0019872186,0.00034889168,0.0018502326,0.00037533528,0.00040599518,0.00013769652,0.00026970726],"genre_scores_gemma":[0.99854654,0.00004087326,0.00027601412,0.00016239588,0.0003581528,0.00018660667,0.0003922742,0.000018635854,0.000018476856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99843174,0.00014270851,0.00032938833,0.0003977729,0.00032409225,0.0003742872],"domain_scores_gemma":[0.9994099,0.000066409,0.000028504865,0.0003091628,0.00003111252,0.0001548742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053888425,0.00019692697,0.00022220018,0.00010721181,0.0002673725,0.00007403382,0.00018016862,0.000059419075,0.00015134158],"category_scores_gemma":[0.000028789436,0.00021278112,0.00004336436,0.0004234171,0.000043445725,0.00018643659,0.00016099245,0.0004584332,0.000015891545],"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":[0.000030849103,0.00016986746,0.14012513,0.00008322479,0.000022300655,0.00005611475,0.00084789406,0.8117155,0.0166533,0.000402772,0.028291965,0.0016010903],"study_design_scores_gemma":[0.0008470802,0.0004524368,0.64646846,0.000021767853,0.000020939844,0.00005204858,0.00033517816,0.28902254,0.0036041467,0.0002195637,0.05817147,0.0007844032],"about_ca_topic_score_codex":0.00020714932,"about_ca_topic_score_gemma":0.0009551652,"teacher_disagreement_score":0.522693,"about_ca_system_score_codex":0.00028617654,"about_ca_system_score_gemma":0.000056531728,"threshold_uncertainty_score":0.86769617},"labels":[],"label_agreement":null},{"id":"W4220654386","doi":"10.1049/stg2.12062","title":"Cascading verification initiated by switching attacks through compromised digital relays","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","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":"Water Security Agency","funders":"","keywords":"Relay; Circuit breaker; Computer science; Enumeration; Digital protective relay; Computation; Process (computing); Protective relay; Reliability engineering; Engineering; Electrical engineering; Power (physics); Mathematics; Operating system; Algorithm","score_opus":0.01579971404768745,"score_gpt":0.2187923547477701,"score_spread":0.20299264070008263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220654386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97937393,0.0006069833,0.004193945,0.00023761122,0.0034990686,0.0003929112,0.00023479205,0.0007738388,0.010686895],"genre_scores_gemma":[0.9989135,0.000048683014,0.00010383672,0.00015546748,0.0002384772,0.000096600896,0.0003222878,0.000044682394,0.00007640842],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987543,0.000041406598,0.00028624362,0.0002749267,0.0003006425,0.00034248113],"domain_scores_gemma":[0.99948573,0.00008543563,0.000049916514,0.0002811087,0.00002155878,0.00007623849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014693715,0.00018633595,0.00018636118,0.00005594337,0.00045646165,0.00010398334,0.00028458715,0.00006632843,0.0001405918],"category_scores_gemma":[0.000027955897,0.00020878334,0.000076620185,0.00033381305,0.000034116438,0.0004915477,0.00009920361,0.00050452555,0.00008737933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002025797,0.000524891,0.014144427,0.00034127076,0.0003563574,0.00020866266,0.01976676,0.17043696,0.1580789,0.0012836476,0.63031656,0.004338976],"study_design_scores_gemma":[0.0015368558,0.0001739257,0.0025748182,0.00005580825,0.000036977144,0.00015166737,0.0014748691,0.09897472,0.015018559,0.0003352378,0.87864804,0.0010185321],"about_ca_topic_score_codex":0.000030326997,"about_ca_topic_score_gemma":0.0000039873416,"teacher_disagreement_score":0.24833146,"about_ca_system_score_codex":0.00014812638,"about_ca_system_score_gemma":0.000020799356,"threshold_uncertainty_score":0.85139376},"labels":[],"label_agreement":null},{"id":"W4298001180","doi":"10.1049/stg2.12090","title":"Smart grid security: Attacks and defence techniques","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":67,"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 New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Computer security; Smart grid; Grid; Electricity; Cyber threats; Computer science; Business; Telecommunications; Engineering; Electrical engineering; Geography","score_opus":0.0057287158035695404,"score_gpt":0.19993210137028714,"score_spread":0.1942033855667176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298001180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97368646,0.003119968,0.00042120845,0.0006933339,0.006545503,0.00060362136,0.00027086158,0.0017969621,0.012862104],"genre_scores_gemma":[0.9970249,0.00062864914,0.0004926338,0.00047142862,0.00089094497,0.0002096835,0.00005247307,0.000058932485,0.00017038517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983454,0.000073884665,0.00029235,0.0003971496,0.00039794983,0.00049327477],"domain_scores_gemma":[0.99925464,0.000093798735,0.000041026913,0.0004091655,0.000032060903,0.00016927766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003664658,0.00027026644,0.00027814734,0.00014870858,0.0004443483,0.000068222645,0.00037733658,0.00009817133,0.0002816353],"category_scores_gemma":[0.000029781228,0.00028852705,0.000090425805,0.00037134043,0.00014270356,0.0002236177,0.00033573678,0.0006554953,0.00004488697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015644454,0.0004440556,0.084756725,0.00092387863,0.0002744514,0.00063401216,0.009810095,0.0052618026,0.016918901,0.0032255019,0.8644606,0.01313357],"study_design_scores_gemma":[0.00031156364,0.00019891474,0.004817946,0.000043315737,0.00003133949,0.00030529845,0.00040322635,0.0050911396,0.01353089,0.00087065663,0.9737065,0.0006892078],"about_ca_topic_score_codex":0.00006870839,"about_ca_topic_score_gemma":0.00007606354,"teacher_disagreement_score":0.10924593,"about_ca_system_score_codex":0.00009121753,"about_ca_system_score_gemma":0.00003213979,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W4309760235","doi":"10.1049/stg2.12095","title":"Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":222,"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 Regina","funders":"","keywords":"Interoperability; Computer science; Smart grid; The Internet; Greenhouse gas; Energy consumption; World Wide Web; Engineering; Electrical engineering","score_opus":0.011049292196158094,"score_gpt":0.20212882473808133,"score_spread":0.19107953254192322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309760235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89308846,0.0007750654,0.09972456,0.00016942307,0.0047844974,0.00035248106,0.00008617306,0.000114071954,0.00090525596],"genre_scores_gemma":[0.9990758,0.00002091089,0.00027975472,0.000030922933,0.00023045721,0.00015286302,0.00011025494,0.000028985736,0.00007009285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896896,0.000062402025,0.0003311367,0.0001699024,0.0002821677,0.00018542448],"domain_scores_gemma":[0.9995343,0.000056090386,0.000093107454,0.00023722538,0.000044787834,0.00003446915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024655886,0.00014085944,0.00020761322,0.00010220133,0.00007619822,0.000012072341,0.00022126485,0.000035976685,0.000052558724],"category_scores_gemma":[0.000014211267,0.00013265193,0.0000856974,0.00015926578,0.00009042038,0.00007253482,0.00019618309,0.00008482917,4.649985e-7],"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":[0.0004229677,0.00027435867,0.01959729,0.00040201182,0.000943359,0.0000048096203,0.003102207,0.85534036,0.02365185,0.041107167,0.048732445,0.0064212037],"study_design_scores_gemma":[0.002087635,0.0004543667,0.0632989,0.00003814383,0.00021406071,0.000012278489,0.00046536804,0.79272395,0.04638648,0.0009830343,0.09289818,0.00043756448],"about_ca_topic_score_codex":0.0005249713,"about_ca_topic_score_gemma":0.00010300024,"teacher_disagreement_score":0.10598729,"about_ca_system_score_codex":0.0001448579,"about_ca_system_score_gemma":0.000016466085,"threshold_uncertainty_score":0.54093885},"labels":[],"label_agreement":null},{"id":"W4319262619","doi":"10.1049/stg2.12102","title":"Guest Editorial: Transition towards deep decarbonisation of modern energy systems","year":2023,"lang":"en","type":"editorial","venue":"IET Smart Grid","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"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":"Transition (genetics); Energy transition; Engineering physics; Nanotechnology; Computer science; Political science; Materials science; Chemistry; Engineering; Medicine","score_opus":0.011230462249351123,"score_gpt":0.2652795343943057,"score_spread":0.25404907214495454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319262619","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000108411645,0.00046005993,0.0004225817,0.00011653286,0.9943657,0.00022673272,0.00049442746,0.00034183156,0.0034637414],"genre_scores_gemma":[0.009284215,0.00035942855,0.000011693733,0.0000067438937,0.98369086,0.00025358476,0.0047372454,0.00015633983,0.0014999193],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99394655,0.0006105661,0.0009826426,0.0008481856,0.0027762952,0.00083574996],"domain_scores_gemma":[0.9958325,0.0009131607,0.00030731337,0.0009180985,0.001778079,0.00025084667],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012514477,0.00055244484,0.0009869123,0.0003490667,0.00017413829,0.00013517242,0.00067709334,0.002453755,0.000021854365],"category_scores_gemma":[0.0017810225,0.000561656,0.00040682813,0.0006131281,0.0001928043,0.00021151725,0.0001443708,0.000852452,0.000044744273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003412253,0.00011523804,0.0000021682233,0.0007177164,0.00020721108,0.000030824536,0.00029732517,0.029251494,0.000052349147,0.0015900043,0.9660364,0.0013580524],"study_design_scores_gemma":[0.0007393115,0.00023413514,0.0000051225156,0.00015886514,0.00010644461,0.0000010941411,0.00013555038,0.005457732,0.00016022401,0.0039569368,0.98856395,0.0004806333],"about_ca_topic_score_codex":0.056714017,"about_ca_topic_score_gemma":0.005469822,"teacher_disagreement_score":0.051244196,"about_ca_system_score_codex":0.0007258822,"about_ca_system_score_gemma":0.001091656,"threshold_uncertainty_score":0.9996835},"labels":[],"label_agreement":null},{"id":"W4323265851","doi":"10.1049/stg2.12065","title":"Fuzzy optimisation model of an incremental capacity auction formulation with greenhouse gas consideration","year":2023,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Electric Power System Optimization","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Renewable energy; Electricity generation; Environmental science; Environmental economics; Computer science; Mathematical optimization; Economics; Power (physics); Engineering; Mathematics","score_opus":0.022644476723291344,"score_gpt":0.21234087155121326,"score_spread":0.18969639482792192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323265851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8836762,0.000005469449,0.11433928,0.000026771026,0.00028763778,0.00034676385,0.00002231639,0.0006107128,0.0006848574],"genre_scores_gemma":[0.9921687,0.000015803345,0.007249673,0.000008522505,0.000100648285,0.000035755456,0.00035705097,0.000039433646,0.000024362329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990669,0.000036483343,0.00029264175,0.00016276822,0.0002646017,0.0001766379],"domain_scores_gemma":[0.9995438,0.00002187705,0.00008528151,0.00019328416,0.00010549551,0.000050296585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023743938,0.00013467016,0.00014469547,0.00020748006,0.000080489706,0.000029098612,0.000051079212,0.00008727506,0.0000061166866],"category_scores_gemma":[0.000016991808,0.00013961678,0.000026001238,0.00039049043,0.000015491943,0.000741992,0.000008421387,0.00008248427,0.000014416004],"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":[0.000024335075,0.000018524599,0.000649477,0.000048943,0.00002273185,6.0538616e-7,0.0005063198,0.9765997,0.02102857,0.00019327074,0.00054943276,0.00035811818],"study_design_scores_gemma":[0.00045425177,0.00012552054,0.001253492,0.000023114475,0.000022208524,0.000009860338,0.00003948034,0.96529967,0.032311317,0.00029961154,0.000014215896,0.00014728568],"about_ca_topic_score_codex":0.00008895315,"about_ca_topic_score_gemma":0.00026064907,"teacher_disagreement_score":0.10849256,"about_ca_system_score_codex":0.00015251555,"about_ca_system_score_gemma":0.000027627175,"threshold_uncertainty_score":0.5693407},"labels":[],"label_agreement":null},{"id":"W4323840548","doi":"10.1049/stg2.12107","title":"Robust networked power system load frequency control against hybrid cyber attack","year":2023,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":8,"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":"Department of Education of Zhejiang Province; Zhejiang Sci-Tech University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electric power system; Automatic frequency control; Computer science; Control theory (sociology); Frequency deviation; Lyapunov stability; Lyapunov function; Stability (learning theory); Renewable energy; Control engineering; Power (physics); Control (management); Engineering; Telecommunications; Electrical engineering","score_opus":0.015863672744654382,"score_gpt":0.2010109978633011,"score_spread":0.1851473251186467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323840548","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35209855,0.0106605645,0.022747505,0.0010801549,0.1343092,0.005001585,0.0014221105,0.025234137,0.44744617],"genre_scores_gemma":[0.99554586,0.00005762782,0.00013696936,0.00019511055,0.002091851,0.00027944762,0.00010971908,0.00022132404,0.001362101],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964213,0.00015648575,0.0009232856,0.0005917795,0.0006885898,0.0012185975],"domain_scores_gemma":[0.9980418,0.00022307163,0.00012356376,0.001089091,0.00021334147,0.00030911964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008769902,0.00058187643,0.00079225906,0.00021267231,0.0001635276,0.00015501698,0.00061906065,0.00022641839,0.000101245125],"category_scores_gemma":[0.00007391156,0.00052381144,0.00030622858,0.0006851249,0.00007909249,0.0003366971,0.000051648218,0.00048180163,0.005241703],"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":[0.000027461927,0.000027553155,0.0035341263,0.0004394371,0.0005514088,0.0008757693,0.00025991915,0.37854087,0.003154564,0.00038731407,0.611612,0.00058957696],"study_design_scores_gemma":[0.00476811,0.0001346342,0.0037127258,0.0009941576,0.00015239048,0.00018069791,0.00020009585,0.6670902,0.00035822074,0.000047793816,0.32038853,0.0019724537],"about_ca_topic_score_codex":0.00010796331,"about_ca_topic_score_gemma":0.00007688774,"teacher_disagreement_score":0.6434473,"about_ca_system_score_codex":0.0007188786,"about_ca_system_score_gemma":0.000096927775,"threshold_uncertainty_score":0.99972135},"labels":[],"label_agreement":null},{"id":"W4384299575","doi":"10.1049/stg2.12120","title":"Efficient unmanned aerial vehicle paths design for post‐disaster damage assessment of overhead transmission lines","year":2023,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"UAV Applications and Optimization","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 Waterloo","funders":"Qatar National Research Fund","keywords":"Overhead (engineering); Computer science; Reliability engineering; Electric power transmission; Vulnerability (computing); Grid; Drone; Real-time computing; Process (computing); Transmission (telecommunications); Power (physics); Identification (biology); Engineering; Computer security; Telecommunications","score_opus":0.016890689906430625,"score_gpt":0.2624803036273077,"score_spread":0.24558961372087706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384299575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5181389,0.00001910507,0.4800872,0.00015347311,0.0004924747,0.00058215746,0.00009343562,0.00021655741,0.0002167306],"genre_scores_gemma":[0.97419673,0.000028819983,0.024948476,0.000021583784,0.00024257043,0.00017703277,0.0002425843,0.00004393617,0.00009824895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993456,0.000016752492,0.00021653743,0.00013513773,0.0001170149,0.0001689782],"domain_scores_gemma":[0.999612,0.00007674039,0.0000291929,0.00016903497,0.00006712585,0.000045958925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711738,0.00010283052,0.00013032378,0.00007245461,0.000059907987,0.000018307412,0.000082316656,0.00006177609,0.00003431903],"category_scores_gemma":[0.0000078560615,0.00009600866,0.00006035796,0.00022658131,0.000013915808,0.00003530719,0.000012708379,0.000044944354,0.000012824397],"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":[0.000029500332,0.00004837676,0.00008205878,0.00008283285,0.000014203583,4.607697e-7,0.00023296822,0.9001731,0.09398235,0.00011504999,0.0038457687,0.0013932778],"study_design_scores_gemma":[0.0005941356,0.0000920572,0.004644626,0.000028183616,0.000018675335,2.9238794e-7,0.000044842014,0.97587883,0.0144428685,0.000032659238,0.00410859,0.00011420797],"about_ca_topic_score_codex":0.000004901656,"about_ca_topic_score_gemma":0.0000021696603,"teacher_disagreement_score":0.45605788,"about_ca_system_score_codex":0.00002504657,"about_ca_system_score_gemma":0.000022579246,"threshold_uncertainty_score":0.39151198},"labels":[],"label_agreement":null},{"id":"W4387641564","doi":"10.1049/stg2.12136","title":"Control coordination in inverter‐based microgrids using AoI‐based 5G schedulers","year":2023,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Age of Information Optimization","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; Multidisciplinary University Research Initiative; Office of Energy Efficiency; Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; National Science Foundation","keywords":"Computer science; Microgrid; Scheduling (production processes); Latency (audio); Slicing; Co-simulation; Distributed computing; Grid; Embedded system; Real-time computing; Control (management); Engineering","score_opus":0.020001719932121003,"score_gpt":0.2500171761257641,"score_spread":0.23001545619364308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387641564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077201866,0.000007792307,0.9167118,0.0039733527,0.0010253103,0.00034883938,0.000010582138,0.0004325511,0.00028787172],"genre_scores_gemma":[0.9634618,8.0775015e-7,0.034104194,0.0021762715,0.0000837886,0.000031545092,0.00008801982,0.000015111583,0.000038443744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986408,0.00009193068,0.00037799985,0.00025297832,0.00032233962,0.0003139622],"domain_scores_gemma":[0.99914664,0.000106734136,0.0001594799,0.00035794813,0.00015197412,0.000077223434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005623365,0.00015064162,0.00016574583,0.000568899,0.0001240337,0.0001859748,0.00043575285,0.000093899216,0.000018028984],"category_scores_gemma":[0.00010474608,0.0001622276,0.000062894556,0.0014261107,0.000041564417,0.0011177388,0.000044740485,0.00013000538,0.00019928385],"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":[0.00003530989,0.00008931003,0.017453967,0.000058932605,0.000016363736,0.000027940154,0.00039109314,0.9597357,0.0036046798,0.001302674,0.012048587,0.005235475],"study_design_scores_gemma":[0.0016234862,0.00003297923,0.006542088,0.00004143938,0.0000039375113,0.000001950473,0.000019717478,0.9872225,0.0030229653,0.00004729471,0.0012605872,0.00018103277],"about_ca_topic_score_codex":0.000054524844,"about_ca_topic_score_gemma":0.000014174419,"teacher_disagreement_score":0.88626,"about_ca_system_score_codex":0.0001724157,"about_ca_system_score_gemma":0.00020056448,"threshold_uncertainty_score":0.6615449},"labels":[],"label_agreement":null},{"id":"W4389476663","doi":"10.1049/stg2.12146","title":"A novel snow conditions‐compatible computational intelligence‐based PV power forecasting approach for microgrids in snow prone regions","year":2023,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Photovoltaic system; Renewable energy; Computer science; Energy management; Energy management system; Reliability engineering; Heuristic; Block (permutation group theory); Computational intelligence; Automotive engineering; Environmental science; Energy (signal processing); Engineering; Control (management); Artificial intelligence; Mathematics; Electrical engineering","score_opus":0.04136554153336894,"score_gpt":0.25230425644482346,"score_spread":0.21093871491145452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389476663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007906559,0.00011164142,0.98886,0.00025797074,0.00057605776,0.00092293485,0.00032011812,0.0004342193,0.0006104584],"genre_scores_gemma":[0.8898891,0.000018269102,0.1050362,0.00013941019,0.00025544295,0.00068412983,0.0038154395,0.00007480234,0.00008720552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987645,0.00001789295,0.000390837,0.00027835692,0.0001459519,0.00040246986],"domain_scores_gemma":[0.99932003,0.00027105174,0.00005750295,0.00015830195,0.00012015786,0.000072950395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024092787,0.00020377217,0.0002405377,0.00033358418,0.00013371104,0.0000641901,0.00014888428,0.00009854114,0.000039012615],"category_scores_gemma":[0.000084441715,0.00022058269,0.00010571942,0.00073137105,0.00004827575,0.00014730675,0.00002499167,0.00016476883,0.000029652861],"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":[0.000020464555,0.0000990635,0.000389877,0.00008859936,0.000031255462,0.0000022483546,0.00020237135,0.98959965,0.0004600764,0.00034622516,0.00751328,0.0012469108],"study_design_scores_gemma":[0.00082478434,0.000047610356,0.0012398609,0.00009330871,0.000015646185,0.000009681111,0.00009664842,0.9946199,0.00065328716,0.00035850407,0.0017910653,0.0002496999],"about_ca_topic_score_codex":0.000015618136,"about_ca_topic_score_gemma":0.00003042568,"teacher_disagreement_score":0.8838238,"about_ca_system_score_codex":0.00008177261,"about_ca_system_score_gemma":0.00005545518,"threshold_uncertainty_score":0.89951015},"labels":[],"label_agreement":null}]}