{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":286,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":286,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"857086066003","filters":{"topic":"Power Systems and Renewable Energy"}},"results":[{"id":"W2127306742","doi":"10.1109/pes.2010.5590140","title":"Microgrid economic optimal operation of the combined heat and power system with renewable energy","year":2010,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":102,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Cogeneration; Microgrid; Renewable energy; Electricity; Electric power system; Electricity generation; Stand-alone power system; Wind power; Automotive engineering; Engineering; Distributed generation; Power (physics); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.003001247365894767,"gpt":0.1699365948649558,"spread":0.166935347499061,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001376422,0.0001742709,0.0002719743,0.00005067391,0.0001339704,0.00006041368,0.0002004232,0.000128636,0.0001674903],"category_scores_gemma":[0.000002769292,0.00009682361,0.00005586342,0.0000671008,0.0001030662,0.0001222204,0.00008068188,0.00007144531,0.000004737951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003789146,"about_ca_system_score_gemma":0.00009114535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1089705,"about_ca_topic_score_gemma":0.07134279,"domain_scores_codex":[0.9990636,0.00005289211,0.0003002367,0.0002602732,0.0001073955,0.0002155723],"domain_scores_gemma":[0.9992987,0.00002652847,0.00008053131,0.0004682048,0.00004370582,0.00008232386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001966952,0.0000939649,0.002572452,0.00007579689,0.0002276107,0.000006081679,0.0002234616,0.3743222,0.3105885,0.3062596,0.004985803,0.0004477777],"study_design_scores_gemma":[0.003266455,0.000520604,0.001414781,0.0001540645,0.00006293726,0.0003405238,0.0009695831,0.03930826,0.6743738,0.00004968162,0.2788627,0.0006766486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979787,0.0002584234,0.001278793,0.0001994586,0.00187087,0.0001418884,0.000009462543,0.0001022446,0.09816015],"genre_scores_gemma":[0.991609,0.00001273173,0.0004543522,0.00005723676,0.0001011656,0.00001887251,0.000006432057,0.00002821388,0.007712031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3637853,"threshold_uncertainty_score":0.9456028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404563140","doi":"10.1109/jas.2024.125013","title":"Analysis and Control of Frequency Stability in Low-Inertia Power Systems: A Review","year":2024,"lang":"en","type":"review","venue":"IEEE/CAA Journal of Automatica Sinica","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Stability (learning theory); Inertia; Control theory (sociology); Automatic frequency control; Frequency analysis; Power (physics); Control (management); Mathematics; Computer science; Physics; Statistics; Telecommunications; Artificial intelligence; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.02197325406891956,"gpt":0.3068015273350089,"spread":0.2848282732660894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003978011,0.0007734126,0.009225869,0.001332819,0.00003621063,0.0001018599,0.0007668878,0.000582254,0.0002197686],"category_scores_gemma":[0.0007298935,0.0004831833,0.002461357,0.002352602,0.0001876071,0.0002013604,0.00007273388,0.0008484846,0.00002267702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003225648,"about_ca_system_score_gemma":0.0010867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007728262,"about_ca_topic_score_gemma":0.0002284637,"domain_scores_codex":[0.9893908,0.001808232,0.006896171,0.0005532016,0.0008537822,0.0004978072],"domain_scores_gemma":[0.9931004,0.001071021,0.003998745,0.001067336,0.0004286946,0.0003338049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004939388,0.001101804,0.000141068,0.8544065,0.03388036,0.001367859,0.0004448274,0.0005661349,0.00006693963,0.002062701,0.002893586,0.1030188],"study_design_scores_gemma":[0.0009333221,0.000400332,0.00003890394,0.506812,0.03827322,0.0007729195,0.0000550029,0.0007414494,0.000005538739,0.0001407309,0.4509078,0.0009187117],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000111104,0.9958654,0.0004532632,0.00007715633,0.001513554,0.0006061824,0.00009783166,0.00003909793,0.001236415],"genre_scores_gemma":[0.02937261,0.9700432,0.00013972,0.00004213362,0.0001453787,0.00004312239,0.000007832901,0.00008526268,0.0001206737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4480143,"threshold_uncertainty_score":0.999762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123890255","doi":"10.1109/tpwrd.2009.2038385","title":"A Clustering-Based Method for Quantifying the Effects of Large On-Grid PV Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Photovoltaic system; Cluster analysis; Computer science; Electric power system; Grid; Data mining; Grid-connected photovoltaic power system; Power (physics); Real-time computing; Maximum power point tracking; Engineering; Artificial intelligence; Voltage; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01529010631107013,"gpt":0.2725485450967279,"spread":0.2572584387856577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721598,0.0002979276,0.0004230872,0.000237209,0.0003493686,0.0000541406,0.0003314233,0.0002568534,0.00005722593],"category_scores_gemma":[0.0000251767,0.0002077838,0.0004010975,0.0002460553,0.00005332372,0.00008709585,0.000002303639,0.0003650915,0.00002423281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004603214,"about_ca_system_score_gemma":0.00008392488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600544,"about_ca_topic_score_gemma":0.004360998,"domain_scores_codex":[0.9981748,0.0002148387,0.0004525333,0.0003906716,0.0003231026,0.0004439931],"domain_scores_gemma":[0.9973271,0.001512692,0.0001806681,0.0007312407,0.0001382812,0.0001099457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006065266,0.0008312165,0.000005412826,0.0008346183,0.000507686,0.00001882846,0.000543244,0.8213814,0.166329,0.003203426,0.001916009,0.003822671],"study_design_scores_gemma":[0.005196375,0.001552604,0.00005530686,0.000894985,0.0003295345,0.00004310965,0.000433093,0.3428326,0.4548222,0.00003392691,0.192913,0.0008932545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02641351,0.0001691794,0.9540557,0.00008846795,0.01745857,0.0006026912,0.0001181069,0.00013712,0.0009566055],"genre_scores_gemma":[0.9967918,0.00001523479,0.001233885,0.0003013009,0.000166754,0.0003211023,0.000005324286,0.00007245236,0.001092078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703783,"threshold_uncertainty_score":0.8473178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2328154688","doi":"10.2316/journal.203.2010.4.203-4843","title":"SIMULATION METHODOLOGY OF MULTIPLE WIND FARMS OPERATION CONSIDERING WIND SPEED CORRELATION","year":2010,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Wind speed; Environmental science; Wind power; Meteorology; Marine engineering; Computer science; Engineering; Geography; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02935596057355307,"gpt":0.2873035953126332,"spread":0.2579476347390802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007829682,0.000174078,0.00041567,0.0003641215,0.00005875321,0.00008467084,0.0002243038,0.000222293,0.00008195958],"category_scores_gemma":[0.0004134136,0.0001425707,0.0001262907,0.00008492146,0.00007696053,0.0003912621,0.00004833739,0.0001928016,0.000002207789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004607146,"about_ca_system_score_gemma":0.00007775463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003015117,"about_ca_topic_score_gemma":0.00043862,"domain_scores_codex":[0.9979472,0.0002200783,0.001017391,0.0001773446,0.0004789971,0.000159056],"domain_scores_gemma":[0.9975485,0.0006135984,0.0008329652,0.0001464258,0.0007484981,0.0001099667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001298206,0.00004715278,0.005697282,0.00001037544,0.0002690895,0.00002447245,0.0006394027,0.9128244,0.06672312,0.01199368,0.00005748156,0.00158371],"study_design_scores_gemma":[0.006068434,0.000534603,0.0116251,0.0004739529,0.0001370029,0.00183761,0.002067099,0.7143966,0.01743922,0.001311234,0.2433576,0.0007515781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936434,0.0007188458,0.07632793,0.000126215,0.02499836,0.00005667201,0.00001184575,0.00002271213,0.004093981],"genre_scores_gemma":[0.9974983,0.0000324547,0.0006932014,0.00003935718,0.0008848243,4.448353e-7,0.00001452353,0.00002358826,0.0008132476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2433001,"threshold_uncertainty_score":0.5813865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403446702","doi":"10.1109/tia.2024.3482274","title":"Resilient Ratio Control Assisted Virtual Inertia for Frequency Regulation of Hybrid Power System Under DoS Attack and Communication Delay","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Automatic frequency control; Power control; Power (physics); Control (management); Inertia; Control system; Computer science; Control theory (sociology); Electrical engineering; Engineering; Telecommunications; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01817721344201381,"gpt":0.2613192271267967,"spread":0.2431420136847829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615896,0.0002231272,0.0002815636,0.0002401892,0.0003645434,0.00007842549,0.000194373,0.0003349647,0.00006734858],"category_scores_gemma":[0.000004316583,0.0002097393,0.0001303813,0.0004233161,0.0001272039,0.0002076607,0.000002220054,0.0003675655,0.00001672797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169089,"about_ca_system_score_gemma":0.0001354445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005634093,"about_ca_topic_score_gemma":0.0002606523,"domain_scores_codex":[0.9983653,0.0001379781,0.0006626264,0.0004058359,0.0002155025,0.0002127003],"domain_scores_gemma":[0.9984733,0.000333487,0.000166509,0.0007144991,0.0001962285,0.0001159054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001050234,0.0003444625,0.0000110055,0.0002517413,0.0005203332,0.000001479792,0.000215093,0.6781605,0.05511463,0.2522913,0.001678217,0.01130622],"study_design_scores_gemma":[0.009651717,0.00147591,0.002478469,0.003238425,0.002255989,0.0007194931,0.005108209,0.5142215,0.2362825,0.0050886,0.2165044,0.00297477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0244063,0.0004271729,0.9698576,0.0005624396,0.0004030741,0.0009930521,0.000330179,0.0002671404,0.002753034],"genre_scores_gemma":[0.9948297,0.00002026472,0.0006170343,0.0000480413,0.00007605963,0.001892032,0.00007241256,0.0000492271,0.002395198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704234,"threshold_uncertainty_score":0.8552921,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1575793933","doi":"10.1109/ccece.2002.1015178","title":"Particle swarm optimizer for constrained economic dispatch with prohibited operating zones","year":2003,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Economic dispatch; Disjoint sets; Mathematical optimization; Particle swarm optimization; Operating cost; Computer science; Multiplier (economics); Regular polygon; Artificial neural network; Engineering; Mathematics; Electric power system; Artificial intelligence; Power (physics); Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01152247905802914,"gpt":0.2216444109621244,"spread":0.2101219319040953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933213,0.0001813529,0.0002570085,0.00002774022,0.0001491458,0.00008518978,0.00008605191,0.00007053254,0.000394931],"category_scores_gemma":[0.00003012403,0.0001213871,0.00006294705,0.0000739214,0.00005336159,0.0001368495,0.00001275222,0.00003967151,0.00002975333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004546961,"about_ca_system_score_gemma":0.0001053456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084794,"about_ca_topic_score_gemma":0.004299819,"domain_scores_codex":[0.9988788,0.00005214796,0.0003015646,0.0003091631,0.0000703617,0.0003879112],"domain_scores_gemma":[0.9994525,0.00007696503,0.00006905376,0.0002330832,0.00004835378,0.0001200842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006182272,0.0001050116,0.001456465,0.00003928459,0.0001619724,0.000007838004,0.0002472794,0.5228832,0.003933615,0.4686896,0.001166092,0.001247835],"study_design_scores_gemma":[0.01297843,0.001046199,0.0001420684,0.0001782001,0.0001077563,0.000178682,0.003459315,0.2323338,0.4842103,0.001109383,0.2624827,0.001773176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7081463,0.0002268073,0.1090859,0.0004524033,0.0007375941,0.0008817375,0.00001600664,0.0003691027,0.1800841],"genre_scores_gemma":[0.9627071,0.00000450399,0.02012601,0.0001418779,0.00009526523,0.0002030035,0.00001202311,0.00004234078,0.0166679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4802766,"threshold_uncertainty_score":0.4950022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297092554","doi":"10.5772/739","title":"Energy Management Systems","year":2011,"lang":"en","type":"book","venue":"InTech eBooks","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Office of Electricity; Office of Electricity Delivery and Energy Reliability; U.S. Department of Energy","keywords":"Energy management; Energy management system; Smart grid; Photovoltaic system; Engineering; Management system; Environmental economics; Grid; Energy (signal processing); Architectural engineering; Systems engineering; Operations research; Civil engineering; Operations management; Geography; Electrical engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01669265288652122,"gpt":0.2065247858771093,"spread":0.189832132990588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002027248,0.0007622679,0.0008965962,0.000519287,0.0001150363,0.000108076,0.0009611683,0.001001662,0.0003366711],"category_scores_gemma":[0.000002861144,0.0006602731,0.0003917238,0.00004113419,0.000132127,0.00003610915,0.0003978166,0.0003659258,0.0005562651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447075,"about_ca_system_score_gemma":0.0001845183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009529945,"about_ca_topic_score_gemma":0.001078003,"domain_scores_codex":[0.9970384,0.00008811209,0.0008540866,0.0008153407,0.0005336826,0.0006703637],"domain_scores_gemma":[0.9977782,0.00003607846,0.0004456552,0.001386116,0.0001242749,0.0002296144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000268505,0.000026287,1.962448e-7,0.000399292,0.0009400992,0.0005639266,0.00009438994,0.00001848466,0.0004607114,0.8867264,0.07333944,0.03740392],"study_design_scores_gemma":[0.0002777208,0.00007283896,2.058301e-7,0.001175357,0.0001233642,0.00008204371,0.00003283725,0.00001434755,0.004586766,0.01707073,0.9758161,0.000747719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001495801,0.002772517,0.006338582,0.00000341126,0.006285414,0.000227937,0.00002116275,0.0005745399,0.983775],"genre_scores_gemma":[0.01065538,0.0001377314,0.00007792633,0.0001340338,0.001323705,0.0003095203,0.00007944266,0.0002663463,0.9870159],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9024766,"threshold_uncertainty_score":0.9995849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399426044","doi":"10.1109/tsg.2024.3411306","title":"Extraction of Representative Scenarios for Photovoltaic Power With Shared Weight Graph Clustering","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Photovoltaic system; Cluster analysis; Computer science; Extraction (chemistry); Environmental science; Electrical engineering; Engineering; Artificial intelligence; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.0156155133740606,"gpt":0.25998911819458,"spread":0.2443736048205194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450144,0.0002451394,0.000302705,0.0003623654,0.0001677059,0.00006327298,0.0001217128,0.0001348204,0.0003425996],"category_scores_gemma":[0.000002958362,0.0001919273,0.0002568103,0.0004738291,0.00006673197,0.000329242,0.00000131802,0.0001948347,0.00002210367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008523342,"about_ca_system_score_gemma":0.00007565889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003929609,"about_ca_topic_score_gemma":0.003991623,"domain_scores_codex":[0.9985237,0.00005632322,0.000386453,0.0004677084,0.0002684715,0.0002973458],"domain_scores_gemma":[0.9991638,0.0001891806,0.00008793544,0.0003523882,0.0001087634,0.00009791186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001689392,0.0005375123,0.00003008968,0.0006017495,0.001501037,0.00009450876,0.002697705,0.6810776,0.2957489,0.0004791059,0.009294947,0.006247391],"study_design_scores_gemma":[0.002515773,0.001316823,0.0001870578,0.001324616,0.0003525004,0.0002416859,0.001037935,0.05137186,0.6716691,0.000228997,0.2688603,0.000893334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03603448,0.0002917889,0.9506156,0.0001119755,0.007862814,0.0005398643,0.00023686,0.0003214422,0.003985164],"genre_scores_gemma":[0.9924029,0.00006242644,0.001246429,0.00003667858,0.000200905,0.000330446,0.00002017097,0.00007574461,0.005624344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563684,"threshold_uncertainty_score":0.7826569,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406382426","doi":"10.1016/j.apenergy.2025.125297","title":"Analytical method for optimizing capacity expansion of existing hydropower plants in hydro-wind-photovoltaic hybrid system: A case study in the Yalong River basin","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Science and Technology Program of Hubei Province; China National Funds for Distinguished Young Scientists; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Hydropower; Photovoltaic system; Structural basin; Environmental science; Hydroelectricity; Drainage basin; Civil engineering; Engineering; Environmental engineering; Geology; Geography; Geomorphology; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03495976090006069,"gpt":0.2966379117242931,"spread":0.2616781508242324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001777322,0.0004049384,0.0009484846,0.0006149135,0.0001648258,0.00004533306,0.0004381629,0.0001971881,0.000007680419],"category_scores_gemma":[0.00006114643,0.0003093424,0.0001706123,0.0008041604,0.00008788289,0.00008290206,0.0001488716,0.0002400199,0.000001134309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704691,"about_ca_system_score_gemma":0.0001105156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2094463,"about_ca_topic_score_gemma":0.02508284,"domain_scores_codex":[0.9965971,0.0005222721,0.001120914,0.0007375572,0.0003803772,0.0006417712],"domain_scores_gemma":[0.9979736,0.0008902219,0.0002585907,0.0007389237,0.00005600657,0.0000826501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006963952,0.001729756,0.001821243,0.0006997494,0.0005830543,0.005212625,0.009880437,0.7467944,0.01552909,0.2066989,0.0004215607,0.009932751],"study_design_scores_gemma":[0.01363928,0.0005155267,0.0006018403,0.001452659,0.0004540563,0.0016246,0.06734535,0.8216086,0.07311607,0.003130115,0.01469948,0.001812413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934259,0.0001128203,0.04163482,0.00001300462,0.0003792527,0.0005939106,0.00001521889,0.00006688532,0.02292509],"genre_scores_gemma":[0.9956005,0.000004853402,0.003490548,0.0001073218,0.00008936118,0.0003300466,0.00001922624,0.00004551678,0.000312611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035688,"threshold_uncertainty_score":0.9999359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391468506","doi":"10.1109/tase.2024.3357204","title":"A Physics-Constrained TD3 Algorithm for Simultaneous Virtual Inertia and Damping Control of Grid-Connected Variable Speed DFIG Wind Turbines","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Variable (mathematics); Grid; Inertia; Wind power; Engineering; Control (management); Computer science; Control engineering; Physics; Electrical engineering; Mathematics; Classical mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.007050851802807285,"gpt":0.2158797934783843,"spread":0.208828941675577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002999173,0.0001584269,0.0002186146,0.0002793608,0.0001601455,0.0001391263,0.0000839801,0.00006938606,0.000008747072],"category_scores_gemma":[0.00004327532,0.000140011,0.00004184603,0.0006849464,0.0001069482,0.0004238011,0.000001502044,0.00008003912,0.000001168199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004812435,"about_ca_system_score_gemma":0.0001076154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002142064,"about_ca_topic_score_gemma":0.000009523283,"domain_scores_codex":[0.9989609,0.00001055947,0.0002742743,0.0002925359,0.0002239905,0.0002377378],"domain_scores_gemma":[0.9992974,0.000325081,0.00004122869,0.0001156568,0.000131738,0.00008883512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005398348,0.00001434238,2.139562e-7,0.00006860357,0.00003849082,0.000001684009,0.000238717,0.7351754,0.2045582,0.001389177,0.000003277963,0.05850656],"study_design_scores_gemma":[0.0005215983,0.00008946211,0.00001125918,0.0001844865,0.00003419806,0.00002550988,0.00008513331,0.9571811,0.04099829,0.0000428856,0.0006701284,0.0001559355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05895787,0.0001008601,0.9391578,0.00003861247,0.001197847,0.0001667584,0.00005474562,0.000246009,0.00007950723],"genre_scores_gemma":[0.9958836,0.0000125864,0.00380313,0.00002167997,0.0001224714,0.00001519566,0.000003039258,0.00001927036,0.0001189742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9369258,"threshold_uncertainty_score":0.5709484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403511107","doi":"10.1109/tpel.2024.3483177","title":"Model-Predictive Dual-Control Loop With Improved Current-Limiting Capability for Grid-Forming Inverter Under Grid Faults","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inverter; Grid; Dual (grammatical number); Model predictive control; Limiting; Dual loop; Control theory (sociology); Current (fluid); Computer science; Loop (graph theory); Control (management); Engineering; Electrical engineering; Voltage; Mathematics; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01243926818500972,"gpt":0.2415563299836114,"spread":0.2291170617986017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003546839,0.0005422909,0.000501947,0.0002690717,0.0004018274,0.0001193579,0.0002140872,0.0002793727,0.00004881349],"category_scores_gemma":[0.000006540993,0.000433975,0.0003923352,0.0003830021,0.00009789231,0.0004953104,0.00000259797,0.0007802902,0.00001796462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827246,"about_ca_system_score_gemma":0.0006467206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004219515,"about_ca_topic_score_gemma":0.003844087,"domain_scores_codex":[0.996928,0.00008709084,0.0005906396,0.0008997819,0.0003784027,0.001116132],"domain_scores_gemma":[0.998695,0.0002455403,0.0001140296,0.0005511919,0.0001740495,0.0002202251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007775211,0.0003437986,0.00000313375,0.0002267792,0.0008984237,0.000006835848,0.0006543249,0.9678627,0.009686068,0.00306796,0.0005268848,0.01594562],"study_design_scores_gemma":[0.002189058,0.0009618741,0.000003225543,0.0002323624,0.0003395684,0.00005120578,0.0001955471,0.9539073,0.02204649,0.001252591,0.0181489,0.0006719367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02126043,0.001833372,0.9701176,0.0002739956,0.004009197,0.0007260967,0.0003529821,0.0005516397,0.0008747081],"genre_scores_gemma":[0.9973334,0.0001502247,0.0002318675,0.0002069258,0.0002919166,0.0005367891,0.00003493797,0.0001516978,0.001062246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.976073,"threshold_uncertainty_score":0.9998112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386283132","doi":"10.18280/mmep.100441","title":"Capacity Optimization Design of Hybrid Energy Power Generation System","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Hybrid power; Power (physics); Computer science; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03803386412973837,"gpt":0.1871860404538782,"spread":0.1491521763241398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780047,0.0001766957,0.0003058041,0.0001540458,0.00006242203,0.00003806937,0.00008159752,0.00008146701,0.000009562873],"category_scores_gemma":[0.00002079311,0.0001512173,0.00004995003,0.0002172947,0.00001939678,0.00008144986,0.00002888386,0.00006050737,0.000006893847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003139396,"about_ca_system_score_gemma":0.00001007686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000182505,"about_ca_topic_score_gemma":8.186108e-7,"domain_scores_codex":[0.9988604,0.00003593299,0.0004242103,0.0002228193,0.0001953125,0.0002612847],"domain_scores_gemma":[0.9995007,0.00008099935,0.00007503691,0.0001981463,0.00005463523,0.00009046708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001801928,0.00001373514,2.664434e-7,0.0003070121,0.00002926628,0.000002324448,0.0001467172,0.8700245,0.0028939,0.1264921,0.00003696537,0.00005142827],"study_design_scores_gemma":[0.0001407612,0.00003223045,1.37961e-7,0.000270586,0.00001562296,0.00002366413,0.00001766348,0.9942062,0.003664081,0.001143742,0.0003179655,0.0001673581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009959623,0.000139948,0.9885057,0.00001587778,0.0002232752,0.00008558537,0.000002751504,0.000380037,0.0006871868],"genre_scores_gemma":[0.9583033,0.00006308429,0.04114842,0.0000030586,0.00007177791,0.0000512359,0.00001423387,0.00004713076,0.0002977013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9483438,"threshold_uncertainty_score":0.6166464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396853202","doi":"10.1109/tpwrs.2024.3400039","title":"A Novel Bi-Directional Grid Inverter Control Based on Virtual Impedance Using Neural Network for Dynamics Improvement in Microgrids","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Canada Foundation for Innovation; CMC Microsystems","keywords":"Artificial neural network; Inverter; Computer science; Electrical impedance; Grid; Control (management); Control engineering; Control theory (sociology); Electronic engineering; Engineering; Electrical engineering; Artificial intelligence; Voltage; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01205664525155337,"gpt":0.2326214820078753,"spread":0.2205648367563219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046154,0.0004522706,0.0005343588,0.0004478087,0.0002345213,0.0002140228,0.0002063408,0.0002860685,0.00003159179],"category_scores_gemma":[0.000004084414,0.0004001949,0.0003824687,0.0005780881,0.00005340911,0.0001868171,0.000001622935,0.0003508933,0.00001539836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008683701,"about_ca_system_score_gemma":0.0002014842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00738932,"about_ca_topic_score_gemma":0.004931644,"domain_scores_codex":[0.9972787,0.0001192101,0.0007915373,0.0007122756,0.0004060158,0.0006922828],"domain_scores_gemma":[0.9988992,0.0003293545,0.0001199188,0.0004082378,0.00008931099,0.00015397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003164078,0.0002656112,0.00001230589,0.0001173617,0.000193275,0.0000153919,0.00007337289,0.985107,0.01042023,0.0008816792,0.0005813541,0.002015989],"study_design_scores_gemma":[0.002089803,0.0006469258,0.00001475525,0.0006111324,0.00006206858,0.0000472772,0.0001089091,0.9817377,0.001008674,0.000009038571,0.01322665,0.0004370844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0152498,0.0003745025,0.9469035,0.0001411998,0.03518633,0.0008385997,0.0006565982,0.0002703582,0.0003790691],"genre_scores_gemma":[0.996775,0.000006282806,0.0002218085,0.0003676203,0.0004778541,0.0005608825,0.00002825964,0.0001197522,0.001442521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9815252,"threshold_uncertainty_score":0.999845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4398188184","doi":"10.1109/tpel.2024.3403894","title":"Dynamic-Tracking Damping Controller for DFIG-Based Wind Farms to Mitigate Sub-Synchronous Control Interactions","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Controller (irrigation); Tracking (education); Wind power; Control engineering; Control (management); Engineering; Computer science; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007451702074478986,"gpt":0.2524533779072809,"spread":0.2450016758328019,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003197984,0.0005096878,0.0005656967,0.0005847855,0.0004718646,0.0003191148,0.0002916013,0.0002397626,0.0001717132],"category_scores_gemma":[0.00001569298,0.0004797752,0.0005973707,0.0005793353,0.00005168551,0.0002895138,0.00000150817,0.0006020286,0.0001473731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009709261,"about_ca_system_score_gemma":0.000493242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002935698,"about_ca_topic_score_gemma":0.00633758,"domain_scores_codex":[0.9969929,0.0001103723,0.0006618837,0.0008039805,0.000323049,0.001107764],"domain_scores_gemma":[0.9984387,0.0005422158,0.00009425191,0.0004679631,0.000175681,0.0002812044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005755455,0.0002557317,0.000001105331,0.00007688571,0.0007808816,0.00001944207,0.0002733167,0.8825675,0.08546371,0.001621272,0.0005292873,0.02783535],"study_design_scores_gemma":[0.003798004,0.001151153,0.00001433813,0.0005222763,0.0003764399,0.00006662589,0.0001225956,0.4331257,0.08616259,0.0004224503,0.4732172,0.001020621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01956684,0.001569864,0.9703698,0.0011805,0.004739427,0.0009190894,0.000207382,0.0006121921,0.0008349604],"genre_scores_gemma":[0.9954372,0.00004868526,0.0002913148,0.0008848503,0.0001167287,0.0004741762,0.0000237281,0.0001868168,0.002536511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9758704,"threshold_uncertainty_score":0.9997654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402301248","doi":"10.1109/ojpel.2024.3455933","title":"A Novel Reduced-Order Modeling Approach of a Grid-Tied Hybrid Photovoltaic–Wind Turbine–Battery Energy Storage System for Dynamic Stability Analysis","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Jordan University of Science and Technology","keywords":"Photovoltaic system; Turbine; Wind power; Battery storage; Energy storage; Battery (electricity); Grid; Stability (learning theory); Computer science; Automotive engineering; Control engineering; Environmental science; Engineering; Electrical engineering; Aerospace engineering; Power (physics); Physics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01834298973950462,"gpt":0.2566274198611564,"spread":0.2382844301216518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002188238,0.0005312909,0.00167247,0.0008252662,0.0001574686,0.0003612591,0.001298693,0.0002356984,0.00004879752],"category_scores_gemma":[0.00005843427,0.0004300265,0.001038995,0.001546549,0.00006292419,0.0006307769,0.0001351314,0.0005167627,0.000001176871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121242,"about_ca_system_score_gemma":0.001501514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578933,"about_ca_topic_score_gemma":0.0008856033,"domain_scores_codex":[0.9954352,0.0002417791,0.001990743,0.0007184839,0.000731126,0.0008826159],"domain_scores_gemma":[0.997024,0.0001756568,0.0008889041,0.000795336,0.0008482175,0.0002678758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004667037,0.0003520773,0.00000442204,0.0003843323,0.004338377,0.00003625716,0.0003823859,0.7568665,0.2341454,0.00216953,0.0004934761,0.0003605061],"study_design_scores_gemma":[0.001708046,0.0005746888,0.000002847586,0.0003886831,0.001627008,0.0005052618,0.0007617136,0.9312033,0.05213127,0.0002462693,0.0102472,0.0006037051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3099675,0.007802841,0.6772264,0.00005674524,0.002631293,0.0003831397,0.0001528814,0.00005220219,0.001726964],"genre_scores_gemma":[0.9948088,0.000121899,0.003749983,0.00003750795,0.0003071222,0.00004108503,0.00005858796,0.0001282297,0.0007467855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6848413,"threshold_uncertainty_score":0.9998152,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408348672","doi":"10.1109/access.2025.3548044","title":"Dynamic Characteristics-Based Capacity Optimization Strategy for Hybrid AA-CAES and Battery Storage Systems in Source-Grid-Load-Storage Integrated Base","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer data storage; Grid; Energy storage; Battery (electricity); Base (topology); Battery storage; Smart grid; Electrical engineering; Engineering; Computer hardware; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.02008460262389112,"gpt":0.2611129266930037,"spread":0.2410283240691126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004753636,0.0003764744,0.0006161114,0.0004132789,0.0001694994,0.0004094873,0.0004029844,0.0002143142,0.00003230742],"category_scores_gemma":[0.00011822,0.0003419024,0.00008758192,0.0004294458,0.00008559999,0.0004454465,0.0000493944,0.0002040296,0.000002422779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004574596,"about_ca_system_score_gemma":0.000312083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01880075,"about_ca_topic_score_gemma":0.003471262,"domain_scores_codex":[0.9977828,0.0002304327,0.0007130976,0.0005919651,0.0002216445,0.000460031],"domain_scores_gemma":[0.998665,0.0002231482,0.0002905649,0.0004444823,0.0002549537,0.0001218948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001257441,0.000105903,0.0007973493,0.0005315825,0.00005919769,0.00003085017,0.00004343026,0.9940274,0.001946571,0.0001633717,0.0008944412,0.001274128],"study_design_scores_gemma":[0.001514634,0.00006258085,0.001784822,0.0005489819,0.00004687038,0.000007610067,0.0001096722,0.98578,0.001748936,0.0000360801,0.007934853,0.0004249651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5728359,0.0003815022,0.4223252,0.00006345794,0.003067872,0.0004655866,0.0002457569,0.0001370503,0.0004777206],"genre_scores_gemma":[0.9972305,0.00003938312,0.0001591727,0.0001810969,0.0001608417,0.0002592813,0.0002667474,0.00005673677,0.001646292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4243946,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406202134","doi":"10.1109/access.2025.3527920","title":"A Novel Hierarchical/Decentralized AGC Scheme for Power Systems Integrated With Large-Scale Solar Power Plants","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheme (mathematics); Scale (ratio); Computer science; Electric power system; Power (physics); Photovoltaic system; Electrical engineering; Engineering; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01475890205699729,"gpt":0.2736595360783137,"spread":0.2589006340213164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003554953,0.0004521318,0.0007394722,0.0002921171,0.0002663286,0.0004093161,0.0009022104,0.0003536129,0.00010374],"category_scores_gemma":[0.00004807391,0.0003197209,0.0001774748,0.0006139709,0.00008067046,0.000382983,0.0001096308,0.000273152,0.00001771494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361484,"about_ca_system_score_gemma":0.000279495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004825418,"about_ca_topic_score_gemma":0.002814546,"domain_scores_codex":[0.9972292,0.00009768084,0.0006351811,0.0007018758,0.0003726766,0.000963396],"domain_scores_gemma":[0.9984338,0.0001553098,0.0002141949,0.0007118417,0.0002619035,0.0002229654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01412982,0.007415147,0.01593595,0.00303077,0.009401396,0.0004855457,0.005234797,0.06955617,0.2968023,0.2136776,0.361217,0.00311344],"study_design_scores_gemma":[0.007245238,0.0001723326,0.0005005795,0.0009951536,0.0000680443,0.00004118545,0.0005529267,0.009902233,0.02088465,0.0002391602,0.9586274,0.0007711211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3035316,0.001950564,0.6428196,0.0004838555,0.01091818,0.001737079,0.000666678,0.0007285688,0.0371639],"genre_scores_gemma":[0.9839256,0.00004178056,0.001117038,0.0005599934,0.000111977,0.0003710898,0.0001288335,0.00009353258,0.01365009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6803941,"threshold_uncertainty_score":0.9999255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2358598997","doi":"","title":"Control and Stability Analysis for the Permanent Magnetic Synchronous Generator Based Direct Driven Variable Speed Wind Energy Conversion System","year":2009,"lang":"en","type":"article","venue":"Proceedings of the CSEE","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Permanent magnet synchronous generator; Vibration; Torque; Engineering; Generator (circuit theory); Power (physics); Wind power; Machine control; Computer science; Control engineering; Control (management); Voltage; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.006064778611564397,"gpt":0.1817854307572834,"spread":0.175720652145719,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000536349,0.0002480607,0.0005564257,0.0001005994,0.0003151741,0.00008582884,0.0004394737,0.0001306049,0.00002955798],"category_scores_gemma":[0.0000728357,0.0001413923,0.0002790201,0.0004722688,0.0001051059,0.0000926978,0.00005592925,0.00007060921,6.326541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479316,"about_ca_system_score_gemma":0.00006074392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002734147,"about_ca_topic_score_gemma":0.00009026696,"domain_scores_codex":[0.9984766,0.00003898331,0.0004245506,0.0004031972,0.0003099304,0.0003467816],"domain_scores_gemma":[0.9987882,0.0001858176,0.0003134006,0.0002928688,0.0003155314,0.0001041806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001201329,0.0005693869,0.03370896,0.001420348,0.003163529,0.000002773683,0.0008383934,0.149771,0.7192254,0.08410306,0.003917721,0.002078158],"study_design_scores_gemma":[0.004613136,0.0007116769,0.01491386,0.0002534255,0.00380459,0.00001518517,0.000757633,0.8295259,0.1092234,0.0002606126,0.03521651,0.0007040644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798662,0.002943721,0.002068722,0.001073438,0.0008122305,0.001016788,0.0001028081,0.0001665606,0.01194953],"genre_scores_gemma":[0.9988571,0.00001682625,0.0002034314,0.0001907779,0.0001886148,0.00002458945,0.000004613148,0.00002047911,0.0004935812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.679755,"threshold_uncertainty_score":0.5765809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105945846","doi":"10.1109/cpre.2011.6035615","title":"Protection of battery energy storage systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"ABB (Canada)","funders":"","keywords":"Battery (electricity); Energy storage; Computer science; Electrical engineering; Wind power; Grid; Renewable energy; Battery storage; Systems engineering; Engineering; Reliability engineering; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.02837273328446393,"gpt":0.1906525790860879,"spread":0.162279845801624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001339608,0.0001285752,0.0002331885,0.0001249325,0.00003939168,0.00001027058,0.0001403367,0.0001236741,0.0004649897],"category_scores_gemma":[0.000007160038,0.00009661351,0.00007516988,0.0001627926,0.00003050528,0.0001056722,0.00003428309,0.00004117373,0.00002661228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003094893,"about_ca_system_score_gemma":0.00002448621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1248418,"about_ca_topic_score_gemma":0.001375087,"domain_scores_codex":[0.9990184,0.00008972568,0.0003355275,0.0001924454,0.0001645206,0.0001993662],"domain_scores_gemma":[0.9993817,0.000009818841,0.0001409506,0.0003328684,0.00006630759,0.00006830985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001185952,0.0003687749,0.0003691982,0.0002999316,0.0003364503,0.00004296078,0.0009101083,0.02156696,0.06170575,0.8945888,0.005746655,0.01394584],"study_design_scores_gemma":[0.001010724,0.0004746125,0.001032262,0.0002170841,0.00004463528,0.000089208,0.0009585494,0.01182844,0.1980422,0.001226146,0.784328,0.0007481671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03046642,0.0005713912,0.1352588,0.00001333079,0.003277502,0.0001286458,0.000003088228,0.0002458917,0.8300349],"genre_scores_gemma":[0.9674602,0.00001259208,0.0001067097,0.00002361095,0.0001786145,0.00005492373,0.00000266433,0.00002425835,0.03213641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9369938,"threshold_uncertainty_score":0.8809859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396965586","doi":"10.1049/pbpo241f_ch1","title":"Semiconductor power devices","year":2024,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Semiconductor; Semiconductor device; Power (physics); Electrical engineering; Optoelectronics; Materials science; Physics; Engineering; Nanotechnology","retraction":null,"screen_n_in":null,"score":{"opus":0.007535851156266283,"gpt":0.1896605987094091,"spread":0.1821247475531428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005491368,0.0003002502,0.0004060784,0.0007202058,0.00003776654,0.00001517924,0.0001519233,0.0008896513,0.00003213824],"category_scores_gemma":[0.00001222462,0.000268942,0.00007849102,0.0000370352,0.000213789,0.00002684404,0.0001041306,0.0003618116,0.0000265898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000435094,"about_ca_system_score_gemma":0.00005780708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009004098,"about_ca_topic_score_gemma":0.0000689408,"domain_scores_codex":[0.9990613,0.000001460761,0.0003404092,0.0003125314,0.000105938,0.0001783948],"domain_scores_gemma":[0.9994762,0.00001386901,0.0001008239,0.0003001271,0.00006021129,0.00004877671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001738421,0.000002214003,0.000001555367,0.0001891482,0.000179953,0.00004237998,0.00001812884,0.0005122849,0.005486881,0.9914988,0.00008579545,0.00198115],"study_design_scores_gemma":[0.0001184053,0.00005152918,8.300193e-7,0.001008148,0.0000594848,0.0001202242,0.000009108141,0.0001218462,0.005869942,0.01314831,0.9792033,0.0002888327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003807668,0.008597411,0.0001339812,0.00005537373,0.001923986,0.00009495158,0.00002203495,0.0007616982,0.9846029],"genre_scores_gemma":[0.6103973,0.00007487908,0.0001420942,0.000008232986,0.0001037236,0.00001211056,0.0000071566,0.00005494874,0.3891995],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9791176,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3042083933","doi":"10.18280/ejee.220302","title":"Comparative Study Between Backstepping Adaptive and Field Oriented Controls for Doubly Fed Induction Motor","year":2020,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Backstepping; Induction motor; Field (mathematics); Control theory (sociology); Computer science; Engineering; Mathematics; Adaptive control; Artificial intelligence; Electrical engineering; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.03175934528735182,"gpt":0.239034024051826,"spread":0.2072746787644742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003418641,0.0001561328,0.0004514949,0.0001107223,0.0000595382,0.0000386248,0.0001228003,0.0000299442,0.000004143204],"category_scores_gemma":[0.0002368494,0.0001272124,0.00008949747,0.0002456597,0.000007071335,0.0001297359,0.00002710536,0.0002807131,0.000001730012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825506,"about_ca_system_score_gemma":0.00002005165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001858027,"about_ca_topic_score_gemma":0.000001449748,"domain_scores_codex":[0.9988121,0.0001542545,0.0005007678,0.0001560892,0.0001624966,0.0002142256],"domain_scores_gemma":[0.9991126,0.0002696549,0.0002118256,0.00006040364,0.0001305687,0.0002149228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007681991,0.0007000402,0.002201877,0.0002092127,0.006431643,0.0007960302,0.015478,0.5277148,0.3639202,0.007877746,0.003374577,0.06361384],"study_design_scores_gemma":[0.0510198,0.1077128,0.03187313,0.0009870271,0.00145221,0.0003870027,0.004816589,0.4566605,0.05362913,0.00007616616,0.2881111,0.003274555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6424615,0.0006730984,0.3549983,0.0002387183,0.0004039179,0.0003186783,0.000002704123,0.00005575632,0.0008472871],"genre_scores_gemma":[0.9976316,0.000006065978,0.001095275,0.00004996987,0.001142689,0.000002831122,9.373239e-7,0.00002775617,0.00004285281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3551701,"threshold_uncertainty_score":0.518757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2378302595","doi":"","title":"A research framework for generalized congestions and market power","year":2010,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"CAE (Canada)","funders":"","keywords":"Market power; Microeconomics; Electricity market; Electric power system; Economics; Business; Industrial organization; Power (physics); Electricity; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1432793495562719,"gpt":0.4099482193310937,"spread":0.2666688697748218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003912325,0.0001469867,0.0002143799,0.0008483733,0.001096365,0.0004386281,0.001106687,0.0003525978,0.002284125],"category_scores_gemma":[0.00110827,0.0001475056,0.00007133027,0.001445988,0.0005677899,0.0005196583,0.0005807694,0.0009592461,0.0000551891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897163,"about_ca_system_score_gemma":0.0006008959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009544,"about_ca_topic_score_gemma":0.005064035,"domain_scores_codex":[0.9968614,0.000635163,0.0001887956,0.0005589598,0.001011613,0.0007440625],"domain_scores_gemma":[0.9956561,0.001603316,0.00005000473,0.0003613985,0.001924985,0.0004041697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001990079,0.00008106885,0.0001527819,0.00001516822,0.00006561035,0.00003299566,0.00007330844,0.00004015634,0.001796768,0.8596838,0.1375383,0.0003209831],"study_design_scores_gemma":[0.001040512,0.0001203107,0.001513851,0.00004525744,0.000006372992,0.00001300917,0.0007324336,0.00009751989,0.0007122348,0.08400164,0.9115325,0.000184367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1624219,0.00004454576,0.0004549561,0.01760948,0.0008311343,0.001865317,0.0003374065,0.00008321981,0.816352],"genre_scores_gemma":[0.5453972,0.00005460267,0.008109488,0.00005530302,0.000254756,0.00003557617,0.0000587639,0.00002866715,0.4460057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7756822,"threshold_uncertainty_score":0.9986279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408541384","doi":"10.1016/j.energy.2025.135680","title":"Multi-objective optimization of an off-grid CAES-based cogeneration plant for quad-generation","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; University of Saskatchewan; Concordia University","funders":"","keywords":"Cogeneration; Grid; Environmental science; Computer science; Engineering; Waste management; Process engineering; Electricity generation; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01753734424426112,"gpt":0.2535446971697639,"spread":0.2360073529255028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389472,0.0002351609,0.0003437552,0.0003003302,0.0001931644,0.00003478838,0.000168921,0.0002274163,0.00003498143],"category_scores_gemma":[0.00007112839,0.0002179687,0.0001289177,0.0003317826,0.00003985441,0.0001832152,0.00002094897,0.00004498673,7.725547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125427,"about_ca_system_score_gemma":0.0002517639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01090526,"about_ca_topic_score_gemma":0.02476686,"domain_scores_codex":[0.998389,0.0001905024,0.000543888,0.0004271188,0.0001888462,0.0002606367],"domain_scores_gemma":[0.9989457,0.00007581549,0.0002429053,0.0003800165,0.0002805862,0.00007499022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001044067,0.0001865215,0.00002474011,0.00002670508,0.00007328794,0.000001339071,0.00005960371,0.9153912,0.05117247,0.02509267,0.001007919,0.006859133],"study_design_scores_gemma":[0.001208832,0.0001403285,0.00003127329,0.00003644903,0.00003306258,0.000001020122,0.00004308927,0.6757597,0.2743114,0.00003911351,0.04822209,0.0001736976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01716085,0.0007761816,0.976329,0.00008058474,0.002794407,0.0002370603,0.0001534846,0.0001309166,0.002337458],"genre_scores_gemma":[0.9632868,0.00006826736,0.02741253,0.0003583747,0.0008815413,0.0003258969,0.003842759,0.00005617412,0.003767705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9489165,"threshold_uncertainty_score":0.9956812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136661015","doi":"10.18280/jesa.540104","title":"Comparative Analysis of Photovoltaic Generating Systems Using Particle Swarm Optimization and Cuckoo Search Algorithms under Partial Shading Conditions","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cuckoo search; Shading; Particle swarm optimization; Photovoltaic system; Cuckoo; Metaheuristic; Algorithm; Computer science; Optimization algorithm; Mathematical optimization; Mathematics; Engineering; Biology; Electrical engineering; Computer graphics (images)","retraction":null,"screen_n_in":null,"score":{"opus":0.05188350788381828,"gpt":0.309448187176006,"spread":0.2575646792921877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006370561,0.0002626278,0.0008931297,0.0003737206,0.0006911288,0.0004785205,0.0001433003,0.000114495,0.0001679044],"category_scores_gemma":[0.00005992171,0.0002343011,0.0002204968,0.001554555,0.0001534608,0.0004349038,0.0001007415,0.0002049168,0.000003502387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002401554,"about_ca_system_score_gemma":0.0002238817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450906,"about_ca_topic_score_gemma":0.0003289163,"domain_scores_codex":[0.9966099,0.0009410589,0.001093273,0.0003523658,0.0005370199,0.0004663322],"domain_scores_gemma":[0.9981055,0.0001981076,0.0005615219,0.0002667108,0.0006000708,0.0002680637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005745828,0.00006799011,0.001338692,0.00007825241,0.001667874,0.0000836486,0.001147927,0.9118164,0.08123978,0.002130684,0.00002908876,0.0003938979],"study_design_scores_gemma":[0.0004912597,0.00005363706,0.005980303,0.000289209,0.0007800528,0.0006006042,0.002707749,0.9682934,0.02044336,0.00004562747,0.00006766037,0.0002471016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81899,0.002986677,0.1768064,0.00001288444,0.0004936713,0.0001067446,0.00003426917,0.0000676154,0.0005017231],"genre_scores_gemma":[0.9875976,0.0001446562,0.01145253,0.00002402807,0.0002581793,0.000009173296,0.00003948743,0.00003576477,0.0004385948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1686076,"threshold_uncertainty_score":0.955452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2326283704","doi":"10.5383/ijtee.03.02.002","title":"An Optimal Two-Dimensional Geometry of Flywheel for Kinetic Energy Storage","year":2010,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Flywheel; Kinetic energy; Geometry; Physics; Mechanics; Computer science; Classical mechanics; Mathematics; Mechanical engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.003313073554051911,"gpt":0.190254404841557,"spread":0.186941331287505,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001292801,0.0001207548,0.0001720896,0.0001472598,0.00002121799,0.0000175687,0.0002262996,0.00005925782,0.0002589595],"category_scores_gemma":[0.000009698507,0.0001006581,0.0001016671,0.00002236903,0.00003746821,0.0001800813,0.00004577048,0.0001097456,4.873637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029021,"about_ca_system_score_gemma":0.000009444497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475538,"about_ca_topic_score_gemma":0.000009007595,"domain_scores_codex":[0.9991766,0.000009324039,0.0003230524,0.0000995624,0.0002650543,0.0001264198],"domain_scores_gemma":[0.9995819,0.00004283498,0.0001646425,0.00008063047,0.00002349154,0.0001065317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000665287,0.00005961221,0.00008733617,0.000003694359,0.00009150099,0.000008491954,0.00002899219,0.4695437,0.5233856,0.001041577,0.000009121686,0.005673847],"study_design_scores_gemma":[0.00565598,0.0009315088,0.01662112,0.0001363984,0.0001078283,0.001506343,0.0001724719,0.4804309,0.4307857,0.0001953149,0.06270384,0.0007526788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907236,0.0002916406,0.007148697,0.00002952535,0.001608845,0.00001890731,0.00002396312,0.000006783614,0.0001481034],"genre_scores_gemma":[0.9958357,0.00001449284,0.003253884,0.00002183974,0.0006773202,0.000002547558,0.00001560025,0.00002241935,0.0001562407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09259994,"threshold_uncertainty_score":0.4104718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393197043","doi":"10.35833/mpce.2023.000729","title":"Virtual Transmission Solution Based on Battery Energy Storage Systems to Boost Transmission Capacity","year":2024,"lang":"en","type":"article","venue":"Journal of Modern Power Systems and Clean Energy","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transmission (telecommunications); Energy storage; Battery (electricity); Computer science; Transmission system; Energy (signal processing); Electrical engineering; Engineering; Telecommunications; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01243295102642276,"gpt":0.2122299355286701,"spread":0.1997969845022473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001104889,0.0006601355,0.001075098,0.0009176291,0.0002914447,0.0004876078,0.000418992,0.0005098538,0.00005990973],"category_scores_gemma":[0.00001579434,0.0004856196,0.0004673412,0.0004313148,0.00007048092,0.000454573,0.00004003594,0.0004014586,0.000007894372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719129,"about_ca_system_score_gemma":0.0002423188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005981499,"about_ca_topic_score_gemma":0.0001815668,"domain_scores_codex":[0.9950898,0.0006550184,0.00156618,0.0007137139,0.001251439,0.0007238384],"domain_scores_gemma":[0.997719,0.0002026903,0.0004200179,0.000493077,0.0002403265,0.0009249139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006284724,0.0002740562,0.000006398097,0.0003545588,0.0003193659,0.0004914508,0.000997371,0.8090225,0.03233523,0.03375513,0.013656,0.1081594],"study_design_scores_gemma":[0.0008890331,0.001283035,0.00002614291,0.003111869,0.00007910042,0.0004629573,0.0002755457,0.3827173,0.002286219,0.0001265191,0.6081984,0.0005437923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01607014,0.0131159,0.9578058,0.0004720686,0.0071848,0.0001248413,0.00003078047,0.0001557966,0.005039936],"genre_scores_gemma":[0.9926376,0.0003907826,0.00009754285,0.0003402404,0.0009455883,0.00002333104,0.00001303764,0.0001572584,0.005394618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765674,"threshold_uncertainty_score":0.9997596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225788959","doi":"10.1109/jphotov.2022.3165107","title":"IEEE Journal of Photovoltaics","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Photovoltaics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Gender and Health; National Institute of Standards and Technology; Universidad Politécnica de Madrid; Technische Universiteit Delft; National Institute of Advanced Industrial Science and Technology; Università degli Studi di Trieste; Universidad Nacional de Colombia; Colorado State University; Arizona State University; Iowa State University; University of Delaware","keywords":"Photovoltaics; Computer science; Photovoltaic system; Optoelectronics; Engineering physics; Materials science; Electrical engineering; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01511187973501133,"gpt":0.2339965279503242,"spread":0.2188846482153129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002428659,0.000408061,0.001124359,0.0008004842,0.0003848229,0.00009567279,0.001311605,0.000194243,0.0007802059],"category_scores_gemma":[0.0001604968,0.000342158,0.0009048803,0.0007646338,0.0001177012,0.0004329712,0.0001156935,0.001381484,0.00001159432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670445,"about_ca_system_score_gemma":0.0009399108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221345,"about_ca_topic_score_gemma":0.0002560775,"domain_scores_codex":[0.9944154,0.0004715947,0.002350848,0.0002344001,0.001889561,0.0006382164],"domain_scores_gemma":[0.9944983,0.0002440972,0.003287866,0.000482618,0.001016529,0.0004705954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006409211,0.000545293,0.0006339543,0.000082294,0.000746957,0.001815084,0.001257174,0.1146406,0.7813795,0.000505895,0.0959974,0.001754916],"study_design_scores_gemma":[0.002574446,0.001401706,0.00006413316,0.000132121,0.0001861654,0.006636093,0.00133959,0.0007178145,0.296027,0.001365401,0.6891388,0.0004167175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581784,0.004041116,0.002795013,0.0001534116,0.02836754,0.0001729105,0.00004782629,0.0000366928,0.006207108],"genre_scores_gemma":[0.9895386,0.0005935392,0.0008757867,0.0004730281,0.004041808,0.000007612372,0.000002496975,0.0001151706,0.004352028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5931414,"threshold_uncertainty_score":0.999903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404133064","doi":"10.1109/naps61145.2024.10741804","title":"A Fixed-Step Under Frequency Load Shedding Scheme Based on Load Criticality","year":2024,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Load Shedding; Criticality; Computer science; Scheme (mathematics); Load balancing (electrical power); Physics; Mathematics; Power (physics); Electric power system","retraction":null,"screen_n_in":null,"score":{"opus":0.01669339083094497,"gpt":0.2688600076775697,"spread":0.2521666168466247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004815463,0.0002970262,0.0003060098,0.0001113825,0.0001210373,0.0002139381,0.0002362133,0.0002395027,0.003389089],"category_scores_gemma":[0.000136412,0.0002230695,0.0002188338,0.000391757,0.00007205673,0.0001610712,0.00005225564,0.0002355528,0.0008033461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005967746,"about_ca_system_score_gemma":0.0004961879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910884,"about_ca_topic_score_gemma":0.003992757,"domain_scores_codex":[0.9976171,0.0001115785,0.0004154925,0.0006223517,0.0006754211,0.0005580392],"domain_scores_gemma":[0.9987692,0.0002567594,0.00002437043,0.0005988848,0.0001226942,0.0002280499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001929125,0.0001320511,0.00008948581,0.000236628,0.00009619597,0.0001696661,0.00004573851,0.0061461,0.008467819,0.9649105,0.01683579,0.002850707],"study_design_scores_gemma":[0.001103531,0.0002309679,0.0002560067,0.001093366,0.00006550016,0.00003277496,0.0002738841,0.2383043,0.01290965,0.01665703,0.7278934,0.00117962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005774809,0.001537112,0.06534097,0.002289115,0.003203589,0.0001247895,0.00001600153,0.001031584,0.920682],"genre_scores_gemma":[0.9701601,0.00001047813,0.002764085,0.001625635,0.0006692864,0.00003655635,0.00001179236,0.00006055571,0.02466152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9643853,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4292387585","doi":"10.1109/jphotov.2022.3195913","title":"IEEE Journal of Photovoltaics","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Photovoltaics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Gender and Health; National Institute of Standards and Technology; Universidad Politécnica de Madrid; Technische Universiteit Delft; National Institute of Advanced Industrial Science and Technology; Università degli Studi di Trieste; Universidad Nacional de Colombia; Colorado State University; Arizona State University; Iowa State University; University of Delaware","keywords":"Photovoltaics; Computer science; Photovoltaic system; Engineering physics; Electrical engineering; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01511187973501133,"gpt":0.2339965279503242,"spread":0.2188846482153129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002428659,0.000408061,0.001124359,0.0008004842,0.0003848229,0.00009567279,0.001311605,0.000194243,0.0007802059],"category_scores_gemma":[0.0001604968,0.000342158,0.0009048803,0.0007646338,0.0001177012,0.0004329712,0.0001156935,0.001381484,0.00001159432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670445,"about_ca_system_score_gemma":0.0009399108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221345,"about_ca_topic_score_gemma":0.0002560775,"domain_scores_codex":[0.9944154,0.0004715947,0.002350848,0.0002344001,0.001889561,0.0006382164],"domain_scores_gemma":[0.9944983,0.0002440972,0.003287866,0.000482618,0.001016529,0.0004705954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006409211,0.000545293,0.0006339543,0.000082294,0.000746957,0.001815084,0.001257174,0.1146406,0.7813795,0.000505895,0.0959974,0.001754916],"study_design_scores_gemma":[0.002574446,0.001401706,0.00006413316,0.000132121,0.0001861654,0.006636093,0.00133959,0.0007178145,0.296027,0.001365401,0.6891388,0.0004167175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581784,0.004041116,0.002795013,0.0001534116,0.02836754,0.0001729105,0.00004782629,0.0000366928,0.006207108],"genre_scores_gemma":[0.9895386,0.0005935392,0.0008757867,0.0004730281,0.004041808,0.000007612372,0.000002496975,0.0001151706,0.004352028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5931414,"threshold_uncertainty_score":0.999903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109665095","doi":"10.1109/pes.2004.1372938","title":"An investigation on the reactive power support service needs of power producers","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"AC power; Generator (circuit theory); Computer science; Power (physics); Electric power system; Compensation (psychology); Service (business); Profit (economics); Electrical engineering; Reliability engineering; Engineering; Business; Voltage; Economics; Marketing; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.01088402524299762,"gpt":0.2103477960590525,"spread":0.1994637708160548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008701895,0.0005290147,0.0004561541,0.0001338838,0.000177126,0.00008578574,0.0005517433,0.0003442254,0.0001099712],"category_scores_gemma":[0.00007421576,0.0004144459,0.0003372658,0.0009253566,0.00009434929,0.0003445809,0.00004496244,0.0004140874,0.00004148776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003459907,"about_ca_system_score_gemma":0.0002281271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800487,"about_ca_topic_score_gemma":0.000104632,"domain_scores_codex":[0.9974155,0.00009959005,0.0006369008,0.0005011427,0.0006273951,0.0007194259],"domain_scores_gemma":[0.9981117,0.00007700653,0.0003234346,0.0009346263,0.0002918608,0.0002614021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001753017,0.00009909059,0.00007450704,0.00003601519,0.0001976391,0.000003532258,0.01176651,0.6582463,0.3188662,0.006563541,0.004107349,0.00002179477],"study_design_scores_gemma":[0.001858875,0.0009368618,0.001156738,0.0005694632,0.0001062556,0.00004970539,0.005972097,0.00411281,0.9364202,0.0004053223,0.04675784,0.001653842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883338,0.000175751,0.001033974,0.001096841,0.002691509,0.000318268,0.00001663622,0.0003403071,0.005992894],"genre_scores_gemma":[0.9953471,0.00001170091,0.001643465,0.001492183,0.0004113685,0.00006233671,0.00002925208,0.0001470757,0.0008555079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6541335,"threshold_uncertainty_score":0.9998307,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4254576825","doi":"10.1109/jestpe.2020.2982371","title":"IEEE Journal of Emerging and Selected Topics in Power Electronics","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Oak Ridge National Laboratory; Connaught Fund; Indian Institute of Technology Bombay; Christian-Albrechts-Universität zu Kiel; University of Technology Sydney; Carrier Corporation; Institute of Electrical and Electronics Engineers; Harbin Institute of Technology; Utah State University; University of Manitoba; University of Warwick","keywords":"Power electronics; Electronics; Electrical engineering; Power (physics); Computer science; Engineering physics; Engineering; Electronic engineering; Physics; Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.009401009760454078,"gpt":0.2388460457016183,"spread":0.2294450359411642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009841651,0.0005319338,0.001245965,0.0007804842,0.0001525155,0.0001274476,0.0005347433,0.0004439787,0.00004647299],"category_scores_gemma":[0.0004616856,0.000484296,0.000200843,0.001956377,0.00007994982,0.0004375621,0.00005661993,0.002217631,8.819931e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004376661,"about_ca_system_score_gemma":0.001099133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001587498,"about_ca_topic_score_gemma":0.001309138,"domain_scores_codex":[0.9951227,0.0004151454,0.002090329,0.0004355476,0.000712063,0.001224264],"domain_scores_gemma":[0.9971448,0.0001523811,0.001163735,0.0002520408,0.000893946,0.0003930534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006597006,0.003336249,0.07921273,0.001340222,0.006732572,0.004845802,0.07822969,0.1705391,0.4861101,0.04212572,0.03026969,0.09066121],"study_design_scores_gemma":[0.01930053,0.01133951,0.009366586,0.00179004,0.0006065751,0.00479775,0.002841464,0.01945041,0.08028232,0.006023588,0.8406611,0.003540157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649023,0.028563,0.001419869,0.002464506,0.001625408,0.0001376074,0.000002425968,0.00003409074,0.0008508404],"genre_scores_gemma":[0.9876679,0.009838601,0.0005383351,0.0003578109,0.001073051,0.000002696145,0.000002818597,0.00008335711,0.0004354819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8103914,"threshold_uncertainty_score":0.9997609,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385400588","doi":"10.18280/jesa.560307","title":"Improved Frequency Response of Parallel Virtual Synchronous Generators Using Grey Wolf Optimization","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Frequency response; Electrical engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01895614986956932,"gpt":0.2500796354158908,"spread":0.2311234855463214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001445956,0.0003917577,0.0006769454,0.000700216,0.0004877907,0.0002235499,0.0004624743,0.0002359973,0.0002213301],"category_scores_gemma":[0.0005227946,0.0003303547,0.0002823388,0.001178647,0.0001495968,0.0005348191,0.0001283692,0.0002568328,0.00004574842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004294846,"about_ca_system_score_gemma":0.0004852207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502825,"about_ca_topic_score_gemma":0.0001186893,"domain_scores_codex":[0.9959162,0.001101864,0.00136148,0.0003658177,0.0005696584,0.0006849999],"domain_scores_gemma":[0.9976708,0.0002028946,0.0009490434,0.000475987,0.0003967595,0.000304549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001437383,0.00005605958,0.0003915665,0.00008691008,0.000236104,0.0002715751,0.0006402953,0.9066527,0.0754225,0.001159087,0.0004790139,0.01446049],"study_design_scores_gemma":[0.001669759,0.0006845165,0.01755563,0.0006991143,0.000119642,0.00155506,0.0005729776,0.9708612,0.00410852,0.0007315981,0.0007399915,0.0007019858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160442,0.001170535,0.07893388,0.00004675777,0.002227144,0.0001966129,0.00002199658,0.0004732477,0.0008855849],"genre_scores_gemma":[0.9709238,0.0003057063,0.02611839,0.00003838612,0.0005639685,0.0000129257,0.00001522092,0.0001521464,0.001869445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07131398,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410852518","doi":"10.1109/access.2025.3575039","title":"An Adaptive Neuro-Fuzzy Controller to Enhance Power Sharing in Distributed Energy Resources Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Government of Ontario","keywords":"Computer science; Distributed generation; Controller (irrigation); Distributed computing; Fuzzy logic; Electrical engineering; Artificial intelligence; Renewable energy; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01116399070710541,"gpt":0.2967068943678637,"spread":0.2855429036607584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156381,0.0002380713,0.0003754951,0.0003183747,0.000146463,0.0002140504,0.001102069,0.0001432518,0.00004012163],"category_scores_gemma":[0.00003145914,0.000219426,0.0000719586,0.001140005,0.00003714061,0.0003192819,0.0001626298,0.0001295514,0.00001500614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078752,"about_ca_system_score_gemma":0.00004392337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297897,"about_ca_topic_score_gemma":0.01391787,"domain_scores_codex":[0.998136,0.00009994609,0.0004560758,0.0006796969,0.0001892019,0.0004390414],"domain_scores_gemma":[0.9988474,0.0001227907,0.0001083427,0.000656707,0.0001068797,0.0001578961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008780164,0.0008220603,0.004897353,0.00005520152,0.0002909511,0.00006768711,0.000779412,0.6432745,0.0543989,0.2503807,0.01109271,0.03306248],"study_design_scores_gemma":[0.001593703,0.0001878465,0.01044842,0.0002710917,0.0000410608,0.000004311092,0.000350395,0.00859358,0.05451918,0.0165323,0.906493,0.0009650822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3585061,0.001119728,0.5023761,0.001383632,0.002159073,0.0009354583,0.0001324538,0.0005887077,0.1327988],"genre_scores_gemma":[0.9950723,0.00001552039,0.00006291267,0.001146319,0.000177782,0.0006720868,0.00002126135,0.00003019315,0.002801642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8954003,"threshold_uncertainty_score":0.9835271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110827135","doi":"10.1109/ipemc.2006.4778014","title":"3 Phases-3 Devices AC Voltage Regulator With Quasi-Zero Switching","year":2006,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chopper; Zero (linguistics); Voltage; Control theory (sociology); Voltage regulator; Regulator; Low-dropout regulator; State (computer science); Sine wave; Computer science; Topology (electrical circuits); Control (management); Engineering; Electrical engineering; Dropout voltage; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.006359890731845769,"gpt":0.2067840099750166,"spread":0.2004241192431709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001485364,0.0002578441,0.000306975,0.00010507,0.0001688733,0.0001030786,0.0002169991,0.0001161781,0.0004187565],"category_scores_gemma":[0.000006459407,0.0001457904,0.00008492818,0.0002559048,0.00002869088,0.0002436905,0.00003936411,0.00008469263,0.00006041229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005061487,"about_ca_system_score_gemma":0.00005342228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0767937,"about_ca_topic_score_gemma":0.04539802,"domain_scores_codex":[0.998515,0.00003551419,0.0003349749,0.0003747996,0.0003072171,0.0004325629],"domain_scores_gemma":[0.9992207,0.00005046233,0.0001285246,0.0004368713,0.00005444892,0.0001089716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003100845,0.001340435,0.02249952,0.0002532325,0.0005953435,0.0004643352,0.0004097364,0.06515396,0.1155546,0.6717302,0.06402619,0.05766242],"study_design_scores_gemma":[0.001307971,0.0001844152,0.001895303,0.0001177438,0.00003875903,0.00006827331,0.0001684358,0.001549733,0.02542712,0.001788667,0.9668601,0.0005935151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4381391,0.0008065514,0.1045141,0.0002147474,0.0007860349,0.0001680079,0.000004797181,0.0006983134,0.4546684],"genre_scores_gemma":[0.9145831,0.000003547571,0.0008321457,0.0001824047,0.0004532378,0.00001648791,0.00001710499,0.00004781853,0.08386412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9028339,"threshold_uncertainty_score":0.972021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908693506","doi":"10.3166/ts.35.85-95","title":"Vector control of brushless double fed generator based on control winding orientation on smooth switch from standalone mode to grid-tied mode","year":2018,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Grid; Generator (circuit theory); Vector control; Control (management); Computer science; Electrical engineering; Control theory (sociology); Engineering; Physics; Mathematics; Artificial intelligence; Power (physics); Voltage; Operating system; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.01415360908959678,"gpt":0.2513733212833648,"spread":0.237219712193768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003443208,0.0004085649,0.0006736538,0.0002595147,0.0002194624,0.00008535307,0.0002929535,0.0001670767,0.000716754],"category_scores_gemma":[0.00001679407,0.0003460068,0.0001696365,0.0002849991,0.00005723168,0.0001261316,0.00001765219,0.0001182378,0.00004273834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113115,"about_ca_system_score_gemma":0.0001536345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106194,"about_ca_topic_score_gemma":0.003391164,"domain_scores_codex":[0.9969799,0.0001964345,0.0007615581,0.0006371309,0.0008843519,0.0005406613],"domain_scores_gemma":[0.9985476,0.0001723608,0.0003164411,0.0004452702,0.0002345482,0.0002837772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008953281,0.0004780838,0.0005590231,0.00002651622,0.0002878828,0.00001085451,0.0007314361,0.5170441,0.4621551,0.007484542,0.001283307,0.0009858618],"study_design_scores_gemma":[0.03757765,0.003498562,0.002044491,0.0003641507,0.0002119745,6.88208e-7,0.0002119022,0.4599434,0.4827377,0.0001594426,0.01235818,0.0008918981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031979,0.00002893531,0.1920681,0.0002406742,0.001351287,0.0006893337,0.0006492723,0.0001080753,0.00166644],"genre_scores_gemma":[0.9962316,0.000001177243,0.0003802045,0.001099495,0.001696585,0.000170412,0.0001726956,0.00007289443,0.0001750032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1930337,"threshold_uncertainty_score":0.9998992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107570047","doi":"10.1109/pess.2002.1043447","title":"A study on the fuzzy ELDC of composite power system based on probabilistic and fuzzy set theories","year":2003,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fuzzy set; Fuzzy logic; Probabilistic logic; Computer science; Set (abstract data type); Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01432308086508473,"gpt":0.2276329583540612,"spread":0.2133098774889765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596764,0.0002473077,0.0003750327,0.00008698017,0.0001574368,0.00005173678,0.0001734322,0.00008257532,0.0000548994],"category_scores_gemma":[0.00008228831,0.0001284967,0.00007341206,0.0002135446,0.00009441483,0.00003205293,0.00002851065,0.0000992902,0.00001714042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004878713,"about_ca_system_score_gemma":0.00004283037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170882,"about_ca_topic_score_gemma":0.0004682593,"domain_scores_codex":[0.9980853,0.0006197779,0.0003724239,0.0003267324,0.0003441931,0.0002515703],"domain_scores_gemma":[0.9985774,0.0004892431,0.0001267307,0.000656374,0.00007341942,0.00007684178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009894773,0.0003478173,0.001426639,0.00007107584,0.00009340197,0.00001736673,0.0007809178,0.01106732,0.0003898103,0.9853235,0.0003385389,0.00004463338],"study_design_scores_gemma":[0.04714519,0.04798709,0.07220372,0.008855437,0.001877501,0.0005947938,0.3658044,0.01406015,0.1116156,0.1013235,0.2174425,0.01109023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5058174,0.00007397033,0.0001034258,0.00008635176,0.0004024127,0.0004607955,0.00001004527,0.00008391908,0.4929617],"genre_scores_gemma":[0.9975422,9.907881e-7,0.00003341341,0.000162352,0.00002790686,0.00006754943,0.000002570502,0.00002809594,0.002134944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8840001,"threshold_uncertainty_score":0.5239941,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408540338","doi":"10.1109/tim.2025.3551857","title":"Improved Butterfly Optimization Algorithm for Parameter Identification of Various Photovoltaic Models Including Power Station","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Scientific Research Fund of Liaoning Provincial Education Department","keywords":"Photovoltaic system; Computer science; Identification (biology); Optimization algorithm; Algorithm; Power (physics); Engineering; Electrical engineering; Mathematical optimization; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03218388742340388,"gpt":0.262783118413971,"spread":0.2305992309905671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021183,0.0001676598,0.0001992949,0.0003237511,0.0002288388,0.00006026952,0.00006715013,0.00009974369,0.000019138],"category_scores_gemma":[0.000007885048,0.0001662931,0.00008398575,0.0002347516,0.00003372286,0.0002922925,0.000001347084,0.00006352008,5.762745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455343,"about_ca_system_score_gemma":0.00008352397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076518,"about_ca_topic_score_gemma":0.0002962122,"domain_scores_codex":[0.998546,0.0000691732,0.0006158973,0.0003013582,0.000300567,0.0001669949],"domain_scores_gemma":[0.9991523,0.00004372323,0.0002333647,0.0001784808,0.0003424263,0.00004968634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001180196,0.0002252108,0.000002646295,0.00008713139,0.000220027,1.096019e-7,0.0005837099,0.6246608,0.1694445,0.0007990705,0.00003577714,0.203823],"study_design_scores_gemma":[0.001589179,0.0001313884,0.00002110486,0.00007878213,0.00009058626,9.207216e-7,0.0003973495,0.6326407,0.3640169,0.0006840346,0.0002173698,0.0001316401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009642772,0.00005146936,0.9879499,0.00006035376,0.001247305,0.0006463867,0.00004973302,0.00005352134,0.0002985551],"genre_scores_gemma":[0.983069,0.00007163043,0.01588241,0.0001253555,0.00001217718,0.0003907378,0.00002956965,0.00001898737,0.0004001324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9734262,"threshold_uncertainty_score":0.6781237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2268324958","doi":"10.14288/1.0091893","title":"Analysis and control of subsynchronous resonance in the presence of thyristor controlled series compensation","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Thyristor; Series (stratigraphy); Control theory (sociology); Resonance (particle physics); Compensation (psychology); Control (management); Physics; Computer science; Engineering; Voltage; Psychology; Electrical engineering; Geology; Artificial intelligence; Atomic physics","retraction":null,"screen_n_in":null,"score":{"opus":0.004226284485702528,"gpt":0.1621979690061764,"spread":0.1579716845204739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222045,0.00003852408,0.0005557464,0.00007896629,0.00007100691,0.00001862702,0.000227325,0.00007235902,0.00002062677],"category_scores_gemma":[0.00003956072,0.00008376486,0.0001296003,0.0004706999,0.0002238929,0.0001629726,0.00001766556,0.00005073395,2.175748e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002351059,"about_ca_system_score_gemma":0.00003749384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3549683,"about_ca_topic_score_gemma":0.6800004,"domain_scores_codex":[0.9990761,0.0001850472,0.0002193072,0.0001832796,0.0002087711,0.0001274793],"domain_scores_gemma":[0.9992144,0.0001189602,0.0002714283,0.0002328396,0.0001324868,0.00002991104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001743168,0.00127305,0.3027082,0.000359337,0.001553159,0.0003315444,0.006867327,0.01196535,0.01546605,0.001304618,0.0008657398,0.6555624],"study_design_scores_gemma":[0.003353824,0.0001471979,0.993032,0.00007075544,0.000152396,0.00001034876,0.001114287,0.001604823,0.000008404831,0.0001971126,0.0002294311,0.00007946506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951909,0.001561959,0.001278091,0.00008308082,0.00003660228,0.0001862926,0.00004522049,0.00000947753,0.00160838],"genre_scores_gemma":[0.9993582,0.0002091419,0.00008200555,0.00001606487,0.00001003212,5.678273e-7,0.000005824458,0.000003034418,0.0003151472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6903237,"threshold_uncertainty_score":0.649327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987869713","doi":"10.4028/www.scientific.net/amm.556-562.265","title":"Study on Temperature Uniformity and Rising Rate of High-Power Lithium-Ion Battery Pack","year":2014,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Operating temperature; Battery pack; Battery (electricity); Nuclear engineering; Power (physics); Materials science; Volumetric flow rate; Automotive engineering; Electrical engineering; Environmental science; Engineering; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.007893156068957336,"gpt":0.2058692254183079,"spread":0.1979760693493506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008009012,0.0002229099,0.0004872325,0.00007159778,0.0001096327,0.00008932193,0.00008438043,0.0001742429,0.00003329945],"category_scores_gemma":[0.00001509095,0.0001648469,0.00002012848,0.00006930046,0.00001360142,0.00004937593,0.0001035666,0.00006368338,0.000005363298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001137633,"about_ca_system_score_gemma":0.00001080832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007858151,"about_ca_topic_score_gemma":0.00007858939,"domain_scores_codex":[0.9988369,0.0001269874,0.0003562646,0.0003402095,0.0001209621,0.0002186639],"domain_scores_gemma":[0.9993303,0.00005592353,0.0001796484,0.0003185355,0.00003394464,0.00008159328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008191738,0.00006543314,0.000002911634,0.00004523794,0.00003879634,0.000002105972,0.000212758,0.00002909989,0.5283612,0.4707886,0.0001082859,0.0002636521],"study_design_scores_gemma":[0.001902503,0.0005914056,0.000836104,0.0001073338,0.0000591559,0.000008689892,0.0007971093,0.000009592371,0.9391004,0.05041577,0.005767713,0.0004042667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963743,0.00002793598,0.0007261768,0.00004087784,0.00101761,0.0002486594,0.00001951343,0.00004093684,0.001503975],"genre_scores_gemma":[0.9991996,0.0000443211,0.0001511262,0.0001781695,0.0001602064,0.00002579717,0.00001510419,0.00003369828,0.0001919581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4203728,"threshold_uncertainty_score":0.6722262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399405241","doi":"10.1109/tpel.2024.3410708","title":"Self-Excitation Startup Strategy of Cascaded H-Bridge Grid-Connected Converter Based on Dynamic Virtual Impedance","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Electrical impedance; Excitation; Grid; Electrical engineering; Bridge (graph theory); Electronic engineering; Computer science; Engineering; Topology (electrical circuits); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.007263401583555957,"gpt":0.2356647115597441,"spread":0.2284013099761882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002223297,0.000415124,0.0004159049,0.0004508651,0.0001417683,0.00007781952,0.0002335652,0.0003038661,0.0003011214],"category_scores_gemma":[0.000004222937,0.0003812478,0.0003017656,0.0007177047,0.0000621113,0.0002257807,0.000001084715,0.0005615347,0.00009976442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005367562,"about_ca_system_score_gemma":0.0006287224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005795906,"about_ca_topic_score_gemma":0.002231055,"domain_scores_codex":[0.9974805,0.0001892388,0.0005884436,0.0006134003,0.0004796995,0.0006487269],"domain_scores_gemma":[0.9988168,0.0002829318,0.00011572,0.0005213664,0.0001249945,0.0001381337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009278078,0.001399162,0.000001755313,0.0003973257,0.001233501,0.0001004721,0.001466981,0.8536652,0.0744412,0.02784715,0.001388644,0.03713074],"study_design_scores_gemma":[0.002054366,0.00331141,0.0000919971,0.0002995582,0.0002208318,0.00004121237,0.0001640201,0.8631016,0.09117346,0.0004918146,0.03817614,0.0008736014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2918314,0.001694667,0.6927571,0.0003569419,0.006469757,0.0006433146,0.0003386528,0.001254396,0.004653753],"genre_scores_gemma":[0.9975713,0.0002100877,0.00007752181,0.0001652723,0.00005101063,0.00007391682,0.00004833989,0.0001080027,0.001694513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.70574,"threshold_uncertainty_score":0.9998639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967932093","doi":"10.5539/ass.v5n12p27","title":"Problems in Development of Electrical Power in Rural China","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Lagging; Vitality; China; Power (physics); Electric power; Economic growth; Rural area; Economic system; Business; Development economics; Political science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.006254478958521561,"gpt":0.2363679841110137,"spread":0.2301135051524922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004746362,0.00008504131,0.0001752845,0.0001988566,0.0001023374,0.00001967989,0.0003014021,0.0000690473,0.00001993193],"category_scores_gemma":[0.00002753557,0.00007248627,0.000027406,0.001589174,0.0001159985,0.0001463401,0.00002961868,0.00008912267,0.000004865154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150492,"about_ca_system_score_gemma":0.0002993658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291166,"about_ca_topic_score_gemma":0.001658236,"domain_scores_codex":[0.9987082,0.00003341292,0.0003092345,0.000182076,0.000349837,0.000417228],"domain_scores_gemma":[0.9997672,0.000004809871,0.00006911236,0.00007892723,0.00002159014,0.00005839537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001717661,0.000400596,0.006178936,0.00000703155,0.000004854289,0.00001467427,0.02798907,0.0001895747,0.08028883,0.2349957,0.0001091025,0.6498045],"study_design_scores_gemma":[0.0003727268,0.00005590884,0.9851283,0.00004315877,6.122035e-7,0.000002367221,0.0004872482,0.00003567994,0.005368954,0.003036055,0.005289348,0.0001796291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4773592,0.00005843081,0.00008948592,0.000218436,0.0001478083,0.00007802237,1.858518e-7,0.00001824921,0.5220302],"genre_scores_gemma":[0.9994423,0.000001617724,0.0002238258,0.00003469887,0.00003130984,0.000005037859,5.394187e-7,0.000003612653,0.0002571052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9789494,"threshold_uncertainty_score":0.2955904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297316252","doi":"10.18280/jesa.550410","title":"Modeling and Grid-Connected Control of Wind-Solar-Storage Combined Power Generation System","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Wind power; Grid connection; Energy storage; Grid; Automotive engineering; Electrical engineering; Distributed generation; Solar power; Solar energy; MATLAB; Solar wind; Battery (electricity); Renewable energy; Engineering; Computer science; Power (physics); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01305238720148933,"gpt":0.2116338425500358,"spread":0.1985814553485464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001163385,0.0003292723,0.0007638005,0.0003542362,0.0009328821,0.0001883878,0.0003443325,0.0001074766,0.0002054393],"category_scores_gemma":[0.00009858959,0.0002893262,0.0002023076,0.0003810397,0.00006362198,0.0003213464,0.0001509719,0.0003776469,0.0000068135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004256429,"about_ca_system_score_gemma":0.0001543576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175009,"about_ca_topic_score_gemma":0.0001020119,"domain_scores_codex":[0.9961011,0.001130476,0.001227643,0.0003436659,0.0007335274,0.0004635772],"domain_scores_gemma":[0.9983415,0.00008666794,0.0006831735,0.000362524,0.0002886563,0.0002374793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001185298,0.0001099151,0.0003520235,0.0001972763,0.0004225759,0.0002796699,0.001012644,0.9446655,0.02907707,0.01895169,0.0007568696,0.004056239],"study_design_scores_gemma":[0.003062183,0.0005597399,0.003071446,0.0002368268,0.0001186175,0.002919427,0.001037767,0.9850936,0.000371638,0.0002024777,0.002923972,0.0004023115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524498,0.003724225,0.03707219,0.00007479281,0.003245626,0.0002848437,0.00006219119,0.0002750582,0.002811272],"genre_scores_gemma":[0.9981001,0.00004002938,0.0004388765,0.00006349535,0.0004721469,0.00002236598,0.00001882407,0.0000897526,0.0007544346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04565027,"threshold_uncertainty_score":0.9999559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026696138","doi":"10.1504/ijpelec.2011.042308","title":"Classification and comparison of interfacing schemes for connecting fuel cells to a single-phase utility line","year":2011,"lang":"en","type":"article","venue":"International Journal of Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Interfacing; Single phase; Line (geometry); Phase (matter); Computer science; Engineering; Automotive engineering; Electrical engineering; Chemistry; Computer hardware; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0659828402226016,"gpt":0.337040757044236,"spread":0.2710579168216344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004294347,0.0001234505,0.0003001347,0.0002122929,0.00003149151,0.00003120927,0.0002827643,0.00007691868,0.00006172005],"category_scores_gemma":[0.0001869704,0.0001085331,0.000111817,0.00008279241,0.00002736441,0.0001200536,0.00006084034,0.0001566969,0.000001344638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238469,"about_ca_system_score_gemma":0.00007641243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001121079,"about_ca_topic_score_gemma":0.0003466213,"domain_scores_codex":[0.9985794,0.00004202123,0.000778292,0.0001472532,0.0002585181,0.0001945434],"domain_scores_gemma":[0.9982547,0.0001090913,0.000688641,0.000109975,0.0007455667,0.00009205798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002011529,0.001384398,0.000989926,0.00006521586,0.0007661179,0.000007439642,0.005815908,0.0007087179,0.8651342,0.03242893,0.0004837399,0.09020389],"study_design_scores_gemma":[0.002650052,0.002600684,0.000217349,0.0002449992,0.00006212363,0.00008447579,0.001553531,0.008300204,0.8642285,0.003659809,0.116164,0.0002341769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909746,0.001501621,0.08542582,0.0001635621,0.001264138,0.00009198962,0.00001161062,0.00001157038,0.001783709],"genre_scores_gemma":[0.9960312,0.00002576408,0.003651325,0.00004208685,0.0001422465,0.000002586301,0.000003626312,0.00001681536,0.00008434022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1156803,"threshold_uncertainty_score":0.4425852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058038819","doi":"10.4236/ti.2010.12013","title":"Simple Differential Equations of A & H Stock Prices and Application to Analysis of Equilibrium State","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Differential equation; Stock (firearms); Nonlinear system; Mathematical economics; Mathematics; State variable; Applied mathematics; Economics; Mathematical analysis; Thermodynamics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01165431470444653,"gpt":0.2587911874747263,"spread":0.2471368727702798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007775777,0.00009557523,0.0002778718,0.0006288846,0.00003979058,0.000006182276,0.0001064054,0.0001333202,0.00003855514],"category_scores_gemma":[0.00003340572,0.00007891386,0.00003412119,0.0007208836,0.0001727496,0.00003658287,0.0001147022,0.00006864184,0.000002215432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007770336,"about_ca_system_score_gemma":0.0000156383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750547,"about_ca_topic_score_gemma":0.008936491,"domain_scores_codex":[0.9992924,0.00001430825,0.0002756546,0.0002008864,0.00008429639,0.000132439],"domain_scores_gemma":[0.9993597,0.00003309336,0.0001529293,0.0003482983,0.00004897147,0.00005699397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001545807,0.0001008478,0.004720619,0.00002938748,0.0004537668,1.241845e-7,0.0002943248,0.001381967,0.6028448,0.3862244,0.00009500986,0.00383936],"study_design_scores_gemma":[0.002305756,0.0007138901,0.08810981,0.00006288952,0.002231556,0.00001057311,0.0004060905,0.02903773,0.3376159,0.1842096,0.3541656,0.001130674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728177,0.0001659477,0.02609246,0.0001350121,0.0000491791,0.0001407517,0.0000213068,0.00004891782,0.000528682],"genre_scores_gemma":[0.9982961,0.00001064669,0.001111045,0.00004337055,0.00001027679,0.00006955672,0.00004099491,0.000006735328,0.000411311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3540705,"threshold_uncertainty_score":0.4986772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298279075","doi":"10.1007/s11063-022-10760-6","title":"Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation","year":2022,"lang":"en","type":"article","venue":"Neural Processing Letters","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"British Columbia Institute of Technology","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Particle swarm optimization; Computer science; Grid; AC power; Electric power system; Artificial neural network; Power (physics); Voltage; Mathematical optimization; Distributed generation; Control theory (sociology); Engineering; Algorithm; Electrical engineering; Renewable energy; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01376494836646363,"gpt":0.2177610335748384,"spread":0.2039960852083747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001547111,0.0001767291,0.0001890986,0.00003400187,0.0006826707,0.000113062,0.0001377438,0.00004098297,0.00002553139],"category_scores_gemma":[0.0000191158,0.0001680977,0.00005696248,0.0002871411,0.0000471792,0.0002460954,0.00008313622,0.0001268399,5.905305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000850685,"about_ca_system_score_gemma":0.00002819643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002152147,"about_ca_topic_score_gemma":0.00002896669,"domain_scores_codex":[0.9986658,0.0001035215,0.0002695034,0.0003563787,0.0001876508,0.000417112],"domain_scores_gemma":[0.9995092,0.00005027603,0.0001695524,0.0001354612,0.00005348787,0.00008204851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001169598,0.00002267901,0.0001353424,0.00002009725,0.00001760769,0.000005143,0.0002919494,0.9802686,0.01147523,0.0001260798,0.004267396,0.003252943],"study_design_scores_gemma":[0.0008883639,0.0001679497,0.0003041241,0.00002179894,0.0000379656,0.00003494761,0.000357122,0.9733568,0.002129271,0.00005250886,0.02231611,0.0003330671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311249,0.001084667,0.0576563,0.007263075,0.002094325,0.0003936089,0.00004760321,0.0002513412,0.00008417291],"genre_scores_gemma":[0.9949127,0.000002765311,0.001399348,0.002800252,0.0003842787,0.0001611127,0.0001820391,0.00004073208,0.0001167908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06378777,"threshold_uncertainty_score":0.6854824,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3143498496","doi":"","title":"An Analytical Method to Calculate Critical Clearance Time of Symmetrical Voltage Sags for Induction Motors","year":2014,"lang":"en","type":"article","venue":"Power System Technology","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Induction motor; Control theory (sociology); Torque; Voltage; Slip (aerodynamics); Engineering; Transient (computer programming); Computer science; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01048430648418877,"gpt":0.2950934190103609,"spread":0.2846091125261722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00113317,0.0003011442,0.00093516,0.001075118,0.0001154246,0.00002874258,0.0005543619,0.0008228762,0.00003874437],"category_scores_gemma":[0.0007715187,0.0002622672,0.00019536,0.001378405,0.0001523794,0.000113616,0.0001055009,0.0002119289,0.0001060524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163942,"about_ca_system_score_gemma":0.00003780847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006751714,"about_ca_topic_score_gemma":0.00003659621,"domain_scores_codex":[0.9971913,0.0002606554,0.0008298394,0.0007334467,0.0003193629,0.0006653659],"domain_scores_gemma":[0.9979975,0.000304065,0.0001627945,0.0009473555,0.0003169973,0.0002713486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001498471,0.0001890062,0.000274687,0.000280825,0.0001281172,0.00001013106,0.00009152641,0.001921692,0.03901564,0.9431909,0.0008049068,0.01394278],"study_design_scores_gemma":[0.003364103,0.006614779,0.001793559,0.00100876,0.000411761,0.000673442,0.001663724,0.3363595,0.1271579,0.006319028,0.5123989,0.002234605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07654519,0.0001662393,0.9151821,0.0006418763,0.001421342,0.0004623216,0.00002349715,0.0007544108,0.004803054],"genre_scores_gemma":[0.9858666,7.054336e-7,0.01305776,0.00006910114,0.0002169298,0.0001248624,0.000006311925,0.00007055677,0.000587183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9368718,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3173533413","doi":"10.18280/jesa.540303","title":"Grid Voltage Estimation Based on an Adaptive Linear Neural Network for PV-Active Power Filter Control Strategy","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Artificial neural network; Computer science; AC power; Active power filter; Control (management); Voltage; Active filter; Control engineering; Engineering; Artificial intelligence; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02074717511088872,"gpt":0.2581056267672612,"spread":0.2373584516563725,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005845082,0.0004719274,0.0007101765,0.0001627235,0.0005940538,0.0003739787,0.0003092516,0.0002180043,0.0004269311],"category_scores_gemma":[0.0002330956,0.0003837634,0.0003741786,0.0003549115,0.00008109168,0.0006102894,0.00003290226,0.0004006311,0.00004175239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719568,"about_ca_system_score_gemma":0.0003489619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853114,"about_ca_topic_score_gemma":0.0003222203,"domain_scores_codex":[0.9964874,0.0008334735,0.0008948818,0.0004949748,0.0005493445,0.000739857],"domain_scores_gemma":[0.9974367,0.0004355173,0.0006723016,0.0004722292,0.000591403,0.00039183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004526164,0.0001659168,0.00005769272,0.00004922986,0.0002197663,0.0004484602,0.0001361497,0.9386285,0.0007719293,0.003946565,0.003149398,0.05197379],"study_design_scores_gemma":[0.002480279,0.001749388,0.01879359,0.0003946689,0.0001023591,0.0005654338,0.0001962802,0.9662095,0.0006365455,0.001997991,0.006389091,0.0004849241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1473529,0.001705249,0.8175045,0.0004198992,0.009662281,0.001149755,0.0005737432,0.0007977095,0.02083402],"genre_scores_gemma":[0.9865451,0.00001060229,0.008747187,0.0006303765,0.001972952,0.00005615034,0.000109083,0.0001361453,0.001792426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8391922,"threshold_uncertainty_score":0.9998614,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401117958","doi":"10.12911/22998993/191435","title":"Feasibility Analysis of Grid-Connected Solar Photovoltaic Systems in Dhahran and Bisha, Saudi Arabia","year":2024,"lang":"en","type":"article","venue":"Journal of Ecological Engineering","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Grid; Environmental science; Rooftop photovoltaic power station; Meteorology; Engineering physics; Remote sensing; Aerospace engineering; Engineering; Electrical engineering; Geography; Maximum power point tracking; Inverter; Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.01463396513801081,"gpt":0.2306403125941024,"spread":0.2160063474560916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961677,0.0001666807,0.0008207093,0.0007520116,0.00001965725,0.00005671114,0.0001466734,0.0001917392,0.00007795002],"category_scores_gemma":[0.0002915822,0.0001173837,0.0002619997,0.001169759,0.00002611963,0.0001392376,0.00004113406,0.0002942466,8.907236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587804,"about_ca_system_score_gemma":0.00004113086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008255471,"about_ca_topic_score_gemma":0.0005841547,"domain_scores_codex":[0.9983599,0.00008346454,0.00089783,0.0002016135,0.0002048714,0.0002523205],"domain_scores_gemma":[0.9990964,0.000368394,0.0001765683,0.0001406275,0.00008540476,0.0001326259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002788552,0.0000915374,0.008328319,0.0002715326,0.0008666778,0.0002698072,0.00009595156,0.9373689,0.05121417,0.00116826,0.00006184624,0.0002351592],"study_design_scores_gemma":[0.0008000549,0.000362376,0.265116,0.0006475596,0.0005794537,0.0001578909,0.0001715444,0.7235807,0.001600579,0.0001287176,0.006513289,0.0003418281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902016,0.006533461,0.001613399,0.00002168771,0.001270608,0.00007273065,0.000008178007,0.00003751755,0.0002407999],"genre_scores_gemma":[0.999334,0.000221131,0.0001938559,0.000006858946,0.0001701999,0.000004481242,0.000002500671,0.00001366946,0.00005329304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2567877,"threshold_uncertainty_score":0.4786769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285535689","doi":"10.2316/j.2021.203-0372","title":"PREDICTION-BASED ADAPTIVE CONTROL OF SMES FOR MULTI-AREA POWER SYSTEMS","year":2021,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Electric power system; Control (management); Power (physics); Computer science; Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02072994560392262,"gpt":0.2423232690865471,"spread":0.2215933234826244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833607,0.0002521717,0.0006883047,0.0003119812,0.00006660646,0.0001221082,0.0003265539,0.000197203,0.00004563711],"category_scores_gemma":[0.0001395717,0.0002006605,0.000344348,0.0001214436,0.00007300168,0.0002176595,0.00003274635,0.0001084948,8.280348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297937,"about_ca_system_score_gemma":0.000312622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221692,"about_ca_topic_score_gemma":0.0001304357,"domain_scores_codex":[0.9973425,0.0002005669,0.001251237,0.0002584307,0.0006932718,0.0002539734],"domain_scores_gemma":[0.9959604,0.0003103992,0.0009307039,0.0002039755,0.002409416,0.0001851669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001484216,0.0008702889,0.003902518,0.0001838122,0.005855638,0.0004661845,0.0008554686,0.7903263,0.01663001,0.1712716,0.00719199,0.0009619628],"study_design_scores_gemma":[0.01533142,0.001302186,0.001351975,0.00236166,0.0002821148,0.001791202,0.004450372,0.2842179,0.005569081,0.0001864148,0.6824328,0.0007229086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01385494,0.0239043,0.9235445,0.0002622893,0.02998502,0.0001585245,0.0006275976,0.00005029028,0.007612586],"genre_scores_gemma":[0.9956619,0.00009801876,0.0003088171,0.00008728985,0.0004777233,0.0000314769,0.00002600139,0.00003900744,0.003269801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818069,"threshold_uncertainty_score":0.8182697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404102644","doi":"10.1109/sege62220.2024.10739617","title":"Review on Virtual Power Plant for Hierarchical Control Techniques","year":2024,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Control (management); Power control; Power (physics); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01128853382449774,"gpt":0.2603174820495512,"spread":0.2490289482250534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003063258,0.0001702437,0.0003126668,0.00008340163,0.00004763975,0.00004617667,0.0001439069,0.0001129508,0.0004540697],"category_scores_gemma":[0.00004692284,0.0001038041,0.0001917082,0.0001029612,0.00002626721,0.00004918199,0.00001868821,0.0001126072,0.0001008789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000379149,"about_ca_system_score_gemma":0.00004894498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002980683,"about_ca_topic_score_gemma":0.0001113825,"domain_scores_codex":[0.9989381,0.00005649852,0.0002936874,0.0003018013,0.0001464876,0.0002633996],"domain_scores_gemma":[0.9993717,0.0002397513,0.0000233864,0.000246452,0.00002519106,0.00009351344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000337181,0.00002882997,3.974182e-7,0.0003187687,0.00006854045,0.00001908924,0.00001156156,0.00002105199,0.0007596147,0.7016175,0.2689855,0.02813543],"study_design_scores_gemma":[0.0001700785,0.0003694657,0.000001137546,0.002480989,0.00002233241,0.00002473977,0.0000052272,0.0004728267,0.002193638,0.001078154,0.9930157,0.0001656947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002233619,0.09675529,0.1036355,0.009640428,0.00484285,0.001707603,0.0002918326,0.002935234,0.7799679],"genre_scores_gemma":[0.838419,0.01133776,0.00148694,0.0302306,0.00193724,0.001346871,0.0001642145,0.000199223,0.1148782],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8381956,"threshold_uncertainty_score":0.4971745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}