{"meta":{"query_hash":"38ec4d70224e","filters":{"venue":"IET Renewable Power Generation"},"cohort_total":109,"direct_labels_cover":0,"predictions_cover":109,"exported":109,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/38ec4d70224e","api":"https://metacan.xera.ac/api/v1/cohort?venue=IET+Renewable+Power+Generation"},"results":[{"id":"W1981481872","doi":"10.1049/iet-rpg.2009.0137","title":"Multiple model multiple-input multiple-output predictive control for variable speed variable pitch wind energy conversion systems","year":2011,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Torque; Wind power; Controller (irrigation); Multivariable calculus; Model predictive control; Wind speed; Actuator; Power (physics); Generator (circuit theory); Computer science; Variable (mathematics); Pitch control; Operating point; Engineering; Control engineering; Control (management); Mathematics; Electronic engineering; Physics","score_opus":0.01966143619945406,"score_gpt":0.1902931751529323,"score_spread":0.17063173895347822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981481872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027634485,0.0010305698,0.965965,0.00029141858,0.00017771963,0.00005205426,0.00003432475,0.0005655793,0.004248817],"genre_scores_gemma":[0.9749817,0.0004489421,0.022506377,0.00006437048,0.00007413478,0.000099404446,0.00004042302,0.000016514436,0.0017680937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996505,0.0000830041,0.000021217835,0.000065203756,0.00013543169,0.00004472512],"domain_scores_gemma":[0.9996909,0.0001373913,0.00006764348,0.000018053743,0.000074514785,0.000011546177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005382259,0.0007928983,0.0008114927,0.00030365703,0.0005190134,0.0010690098,0.0008911148,0.0005135946,0.0011716232],"category_scores_gemma":[0.00075067516,0.00035622835,0.0004153308,0.0004725525,0.000492497,0.00041892726,0.000570456,0.0009761922,0.00017807576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010964034,0.000074426884,0.0003516294,0.00026155947,0.000083836465,0.00022698668,0.0001258861,0.8967363,0.011584575,0.0067045456,0.0013415293,0.0823991],"study_design_scores_gemma":[0.000019787487,0.00009460081,0.00018694716,0.000006876611,0.000014162386,0.000021583654,0.000008079957,0.9969547,0.0010263205,0.001061893,0.0005984163,0.0000064983433],"about_ca_topic_score_codex":0.0049046213,"about_ca_topic_score_gemma":0.006208399,"teacher_disagreement_score":0.0049046213,"about_ca_system_score_codex":0.00042683425,"about_ca_system_score_gemma":0.0005905694,"threshold_uncertainty_score":0.009752154},"labels":[],"label_agreement":null},{"id":"W1989532482","doi":"10.1049/iet-rpg.2009.0011","title":"Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems","year":2010,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":393,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distributed generation; Probabilistic logic; Wind power; Mathematical optimization; Linear programming; Photovoltaic system; Integer programming; Renewable energy; Computer science; Engineering; Reliability engineering; Electrical engineering; Mathematics","score_opus":0.015341053759754515,"score_gpt":0.22225820622630188,"score_spread":0.20691715246654738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989532482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006230426,0.00023943526,0.9912348,0.00013895457,0.000014493821,0.000034186407,0.00003884619,0.000070164155,0.001998662],"genre_scores_gemma":[0.6986346,0.0013546994,0.29437557,0.00010479168,0.00010805175,0.00037873344,0.00016567814,0.000113755275,0.004764067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921036,0.00038646307,0.00002365992,0.00007884978,0.00022710589,0.00007347891],"domain_scores_gemma":[0.9992434,0.0005434851,0.00008687389,0.00002281035,0.00007902169,0.000024520083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300934,0.00074520154,0.00093834975,0.00070086773,0.00041879108,0.0011206233,0.00094022823,0.00072076696,0.0022977248],"category_scores_gemma":[0.0026502726,0.0010487845,0.00067339686,0.00112598,0.0007213937,0.0011923517,0.0007533812,0.0008586232,0.00026304464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009493443,0.0000052034366,0.000057634403,0.000018505263,0.000007914818,0.000012398422,0.000010332767,0.98881906,0.00015369673,0.0072700414,0.00011358248,0.0035221549],"study_design_scores_gemma":[0.0000037839122,0.000007841525,0.000027142587,0.0000030367005,0.0000028389723,0.000004247706,0.0000031346617,0.9953908,0.00005840254,0.0042799176,0.00021639763,0.000002415112],"about_ca_topic_score_codex":0.0050379103,"about_ca_topic_score_gemma":0.008824942,"teacher_disagreement_score":0.0050379103,"about_ca_system_score_codex":0.0016105506,"about_ca_system_score_gemma":0.0016964354,"threshold_uncertainty_score":0.011685371},"labels":[],"label_agreement":null},{"id":"W1993605403","doi":"10.1049/iet-rpg.2010.0054","title":"Steady-state performance analysis and modelling of directly driven interior permanent magnet wind generators","year":2011,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Stator; Rectifier (neural networks); Harmonic; Voltage; Resistive touchscreen; Control theory (sociology); Terminal (telecommunication); Harmonic analysis; Steady state (chemistry); Inverter; Magnet; Wind power; Electrical engineering; Physics; Engineering; Computer science; Electronic engineering; Acoustics","score_opus":0.020177184540715938,"score_gpt":0.1913294501930648,"score_spread":0.17115226565234887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993605403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3900036,0.0003339177,0.59151775,0.00008346191,0.000028377346,0.00014018972,0.00022562781,0.0011087398,0.016558345],"genre_scores_gemma":[0.99102074,0.00008993756,0.007364843,0.000005142001,0.0000043477753,0.000038297203,0.00008273293,0.0000333866,0.0013604712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997867,0.00006274466,0.00001084977,0.000035444104,0.0000823558,0.000021976055],"domain_scores_gemma":[0.9997155,0.0001459968,0.00004132759,0.000041466516,0.000048837977,0.0000067802193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035127864,0.0006248629,0.0005756645,0.00028733857,0.0001595117,0.00076829444,0.00082746905,0.0006310666,0.001784348],"category_scores_gemma":[0.0009565304,0.00027484613,0.00055458245,0.00013247077,0.00043878466,0.0005595032,0.0003328041,0.00038835924,0.0005682785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008148824,0.00003436787,0.0009913992,0.00012896293,0.000027327958,0.00012755838,0.000083459585,0.9659967,0.017973296,0.0015852301,0.00014089495,0.012829299],"study_design_scores_gemma":[0.000007244297,0.00008901767,0.0005745993,0.0000061795336,0.000008101089,0.000023137534,0.000010364763,0.99429697,0.0040848963,0.00057115394,0.00032297135,0.00000528853],"about_ca_topic_score_codex":0.0009711606,"about_ca_topic_score_gemma":0.000697923,"teacher_disagreement_score":0.001784348,"about_ca_system_score_codex":0.0002897075,"about_ca_system_score_gemma":0.00021790252,"threshold_uncertainty_score":0.005969286},"labels":[],"label_agreement":null},{"id":"W2010096386","doi":"10.1049/iet-rpg.2013.0183","title":"Adaptive neuro‐fuzzy based solar cell model","year":2014,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Solar cell; Fuzzy logic; Neuro-fuzzy; Artificial intelligence; Fuzzy control system; Engineering; Electrical engineering","score_opus":0.0193601140668387,"score_gpt":0.2196036062329097,"score_spread":0.200243492166071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010096386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055218015,0.0019083599,0.8694474,0.0005161053,0.0002691985,0.0002006672,0.00085160794,0.0009975199,0.07059117],"genre_scores_gemma":[0.9227863,0.001253989,0.039895955,0.00012611583,0.000068580805,0.00057462545,0.0005127761,0.000047047954,0.03473471],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998305,0.000026166965,0.000009674984,0.000044301916,0.000072326315,0.00001699529],"domain_scores_gemma":[0.99989843,0.000029649422,0.000014599573,0.000007366767,0.00004601337,0.0000040436294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017436002,0.0004876079,0.0007962131,0.00031353394,0.00043777947,0.00086177187,0.0013756087,0.0014102799,0.0039864215],"category_scores_gemma":[0.00034916718,0.00025981115,0.00054935954,0.00048463515,0.00036181175,0.00060947455,0.0004254638,0.0007822336,0.0010286719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021018192,0.000017022949,0.00016907696,0.000058816862,0.00001831731,0.00007621928,0.000028519822,0.9828279,0.0026739337,0.0032990018,0.0004528874,0.010357422],"study_design_scores_gemma":[0.0000033238991,0.000011107319,0.00010737064,0.0000047578797,0.0000042980787,0.0000172522,0.0000035236983,0.9979482,0.00037718148,0.0006726459,0.00084621646,0.0000040253335],"about_ca_topic_score_codex":0.009036867,"about_ca_topic_score_gemma":0.005358379,"teacher_disagreement_score":0.009036867,"about_ca_system_score_codex":0.00059793657,"about_ca_system_score_gemma":0.0005709088,"threshold_uncertainty_score":0.017968535},"labels":[],"label_agreement":null},{"id":"W2037409445","doi":"10.1049/iet-rpg.2013.0416","title":"Optimal sizing approach for islanded microgrids","year":2014,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Sizing; Computer science; Mathematical optimization; Reliability engineering; Engineering; Mathematics; Chemistry","score_opus":0.008407612429820572,"score_gpt":0.18946261968905395,"score_spread":0.18105500725923337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037409445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014789368,0.00031417605,0.9746543,0.000094640745,0.000032781914,0.000086055916,0.00009771279,0.0002757008,0.009655286],"genre_scores_gemma":[0.5459024,0.0005526257,0.44721392,0.000088235036,0.000041290492,0.0003066792,0.0002508703,0.00018085532,0.005463158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973327,0.00008939791,0.000014237848,0.000045135475,0.00008970929,0.000028238434],"domain_scores_gemma":[0.99979335,0.00009782792,0.000033360735,0.000017234192,0.00004870294,0.000009493221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046895974,0.0009416304,0.000740849,0.000731171,0.0003115049,0.0008299521,0.000697942,0.00041420182,0.003563579],"category_scores_gemma":[0.0008481276,0.0005280758,0.0006409007,0.0006753384,0.0003497929,0.0005958527,0.00047505661,0.0004960582,0.00039849427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013127249,0.000011385655,0.00007989998,0.00003865653,0.000017900162,0.000021601107,0.00002234946,0.9715872,0.0011800275,0.005400914,0.0004155299,0.021211406],"study_design_scores_gemma":[0.0000056131885,0.000012296303,0.000038844562,0.0000046533814,0.000005634647,0.000008008577,0.000008591467,0.9952644,0.0003385953,0.0034935263,0.00081733085,0.0000026038833],"about_ca_topic_score_codex":0.0044465726,"about_ca_topic_score_gemma":0.0061512305,"teacher_disagreement_score":0.0044465726,"about_ca_system_score_codex":0.00076198264,"about_ca_system_score_gemma":0.00128553,"threshold_uncertainty_score":0.011921346},"labels":[],"label_agreement":null},{"id":"W2057523769","doi":"10.1049/iet-rpg.2008.0015","title":"Resolving the impact of distributed renewable generation on directional overcurrent relay coordination: a case study","year":2009,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Overcurrent; Relay; Fault (geology); MATLAB; Computer science; Electric power system; Distributed generation; Reliability engineering; Protective relay; Power-system protection; Grid code; Renewable energy; Control engineering; Engineering; Control theory (sociology); Power (physics); AC power; Electrical engineering; Current (fluid); Voltage","score_opus":0.023243129021421786,"score_gpt":0.28199951468470436,"score_spread":0.2587563856632826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057523769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84964836,0.0005568086,0.12807152,0.0006235185,0.000053919743,0.00024782086,0.0002889527,0.00027873932,0.020230489],"genre_scores_gemma":[0.9813306,0.00016349697,0.016986102,0.000017965132,0.000009504548,0.000035184494,0.000043614433,0.000010121254,0.0014036105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99905187,0.0005257314,0.000032023647,0.00007706413,0.00017965822,0.0001335844],"domain_scores_gemma":[0.99722433,0.0020939924,0.0001926237,0.00017314959,0.00021006481,0.00010594188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013767751,0.00072461163,0.0006451821,0.0006432177,0.0005003468,0.0012236685,0.001289542,0.0020985843,0.0021933978],"category_scores_gemma":[0.00379449,0.00028176745,0.00058600697,0.0008447249,0.00066182454,0.00092212396,0.00078168034,0.0006548851,0.00021725506],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035438658,0.0002435229,0.00536158,0.00024887268,0.00005723891,0.004503619,0.00018377043,0.95225364,0.0027099121,0.008597726,0.001077634,0.02440803],"study_design_scores_gemma":[0.00023154593,0.00063815777,0.0027196729,0.000032350486,0.00010130417,0.0013488295,0.0005184491,0.9798497,0.0076108496,0.004264146,0.0026435016,0.000041507246],"about_ca_topic_score_codex":0.0053747627,"about_ca_topic_score_gemma":0.005783207,"teacher_disagreement_score":0.0053747627,"about_ca_system_score_codex":0.0008839487,"about_ca_system_score_gemma":0.0004818984,"threshold_uncertainty_score":0.010686934},"labels":[],"label_agreement":null},{"id":"W2059411722","doi":"10.1049/iet-rpg.2009.0070","title":"Reliability assessment of a wind-power system with integrated energy storage","year":2010,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Wind power; Electric power system; MATLAB; Computer science; Battery (electricity); Energy storage; Power (physics); Automotive engineering; Engineering; Electrical engineering","score_opus":0.0051437265944635985,"score_gpt":0.20045608944487106,"score_spread":0.19531236285040746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059411722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79055506,0.00050579495,0.20473199,0.00007963094,0.000025567108,0.0000950206,0.00019575194,0.00046912883,0.0033420674],"genre_scores_gemma":[0.9966191,0.00005110651,0.0029604242,0.00000232766,0.000003982778,0.0000102933955,0.000044029854,0.000005478388,0.00030304698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964476,0.00012762076,0.000026923986,0.00004010748,0.00013566269,0.000024915556],"domain_scores_gemma":[0.999408,0.000248849,0.00008250499,0.000041909698,0.00019154248,0.000027083772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005305745,0.00061209855,0.00044870746,0.0005143123,0.00016657748,0.0004393512,0.00036819087,0.0003311217,0.0008008319],"category_scores_gemma":[0.0013332645,0.00016629706,0.00028306636,0.00031238166,0.00021547882,0.0004963282,0.000256762,0.00020833808,0.00017118703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006296564,0.000086229746,0.011289652,0.0002653172,0.0001765825,0.00077892316,0.00012806943,0.9055384,0.035055738,0.0017068355,0.00036560575,0.043979082],"study_design_scores_gemma":[0.000019282206,0.00032758922,0.004998921,0.0000144354,0.000054212855,0.00013204232,0.000029319981,0.98796266,0.005442442,0.0007826999,0.0002244011,0.000012040931],"about_ca_topic_score_codex":0.0012642504,"about_ca_topic_score_gemma":0.0014424036,"teacher_disagreement_score":0.0012642504,"about_ca_system_score_codex":0.0002280844,"about_ca_system_score_gemma":0.00026975267,"threshold_uncertainty_score":0.0028059483},"labels":[],"label_agreement":null},{"id":"W2071941548","doi":"10.1049/iet-rpg:20070082","title":"Impact of wind generation control strategies, penetration level and installation location on electricity market prices","year":2008,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Power System Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity market; Wind power; Electric power system; Electricity; Market clearing; Stand-alone power system; Clearing; Power flow; Electricity generation; Computer science; Environmental economics; Business; Distributed generation; Economics; Engineering; Microeconomics; Power (physics); Renewable energy; Electrical engineering; Finance","score_opus":0.022430409115758068,"score_gpt":0.2287546829620683,"score_spread":0.20632427384631025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071941548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874538,0.00014453643,0.0071457783,0.0001313712,0.000019057525,0.00002811469,0.000120661665,0.000031527066,0.004925062],"genre_scores_gemma":[0.9990509,0.000052898464,0.000566217,0.0000114388195,0.0000032383537,0.0000055093083,0.00002344657,0.00000767878,0.0002786664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993292,0.0003507269,0.000031945987,0.00006527455,0.000088320594,0.00013459091],"domain_scores_gemma":[0.99336445,0.005515184,0.00048846396,0.0001341018,0.00033513017,0.00016272314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013885617,0.0005666386,0.0005350987,0.0004295101,0.00021256707,0.0013735357,0.000527493,0.0007063968,0.0019152336],"category_scores_gemma":[0.0077676033,0.0004164123,0.00038336831,0.0005515361,0.000550867,0.0016312173,0.0004040489,0.00068218197,0.00019511076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007878013,0.00039297837,0.00996126,0.00008179397,0.000104714905,0.00066417066,0.000036258632,0.9666499,0.0057757418,0.0030636361,0.0003717656,0.01211006],"study_design_scores_gemma":[0.00011625705,0.00052312406,0.015729474,0.000011729368,0.00011486645,0.00013674569,0.00012380208,0.9761914,0.004247865,0.0025112494,0.00025620556,0.0000372899],"about_ca_topic_score_codex":0.0027817953,"about_ca_topic_score_gemma":0.0040556956,"teacher_disagreement_score":0.0027817953,"about_ca_system_score_codex":0.00055802206,"about_ca_system_score_gemma":0.0003874082,"threshold_uncertainty_score":0.0073435307},"labels":[],"label_agreement":null},{"id":"W2073083895","doi":"10.1049/iet-rpg.2008.0075","title":"Operational experiences of STATCOMs for wind parks","year":2009,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Computer science; Operations research; Engineering; Reliability engineering; Control theory (sociology); Electrical engineering; Control (management); Artificial intelligence","score_opus":0.011946663208532264,"score_gpt":0.2258827141360928,"score_spread":0.21393605092756052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073083895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88045645,0.0008961887,0.01886518,0.0018031555,0.00018223323,0.00012877074,0.0004392462,0.00045068504,0.096778095],"genre_scores_gemma":[0.98346657,0.00058713,0.0038496633,0.00010640278,0.000040557272,0.000016218308,0.0003871739,0.00007560559,0.011470573],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99877805,0.00052305375,0.000044226766,0.00006147356,0.00039613002,0.00019710636],"domain_scores_gemma":[0.9984888,0.00048047354,0.00004512643,0.00011907523,0.000525079,0.00034152996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018124363,0.00051735726,0.00018980264,0.0003722546,0.0010669824,0.0010993085,0.0005300069,0.00062347506,0.0043125497],"category_scores_gemma":[0.0019876682,0.00015347353,0.00019477506,0.00046929825,0.00067561003,0.0012749285,0.00074975326,0.0010886405,0.00094931974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005158435,0.00301576,0.039975666,0.00094862445,0.00015699626,0.012089442,0.023379516,0.071818314,0.07003083,0.040543597,0.062151708,0.67073107],"study_design_scores_gemma":[0.0009995488,0.016864661,0.055493776,0.0004139794,0.00020229322,0.0060006115,0.039744437,0.053371776,0.09304457,0.010508125,0.72298205,0.00037418507],"about_ca_topic_score_codex":0.0027473138,"about_ca_topic_score_gemma":0.006821761,"teacher_disagreement_score":0.0043125497,"about_ca_system_score_codex":0.00052033324,"about_ca_system_score_gemma":0.00052826054,"threshold_uncertainty_score":0.014426887},"labels":[],"label_agreement":null},{"id":"W2077418944","doi":"10.1049/iet-rpg.2009.0204","title":"Energy storage system scheduling for an isolated microgrid","year":2011,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Microgrid; Automotive engineering; Diesel fuel; Energy storage; Scheduling (production processes); Electric power system; Wind power; Computer science; Reliability engineering; Environmental science; Engineering; Renewable energy; Power (physics); Electrical engineering; Operations management","score_opus":0.01756206963411596,"score_gpt":0.19349254625688314,"score_spread":0.17593047662276717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077418944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3243022,0.00030574092,0.66513944,0.00019165303,0.00005032758,0.00015169926,0.00016545555,0.0014303172,0.008263178],"genre_scores_gemma":[0.9739454,0.00005298026,0.024304662,0.000023406494,0.000010500596,0.00004408727,0.00006124299,0.000019656181,0.001538167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989474,0.000024605613,0.000006916374,0.000032828877,0.00002186929,0.000019069057],"domain_scores_gemma":[0.9997826,0.00010185995,0.000034954137,0.00001975894,0.00003641341,0.000024433288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020511463,0.00045274248,0.0005606549,0.00014998749,0.0002754553,0.0004532978,0.00045892008,0.000375544,0.0020636742],"category_scores_gemma":[0.0005604302,0.00018662216,0.00022987311,0.00012292623,0.00018997393,0.0003099192,0.00032735922,0.00034821528,0.00022898606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018846903,0.0000838305,0.00043074513,0.000086058375,0.000025253288,0.0001232982,0.00005898241,0.94510615,0.0072712065,0.0010434019,0.0004989134,0.045083627],"study_design_scores_gemma":[0.000023206574,0.000050916344,0.00018788785,0.0000033719202,0.000007718344,0.0000193854,0.000011581844,0.997591,0.0013090294,0.00046838212,0.00032359816,0.000003825772],"about_ca_topic_score_codex":0.004274635,"about_ca_topic_score_gemma":0.0047932356,"teacher_disagreement_score":0.004274635,"about_ca_system_score_codex":0.00036337317,"about_ca_system_score_gemma":0.0008125865,"threshold_uncertainty_score":0.008499503},"labels":[],"label_agreement":null},{"id":"W2080837654","doi":"10.1049/iet-rpg:20070116","title":"Low voltage ride through capability enhancement of wind turbine generator system during network disturbance","year":2008,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Low voltage ride through; Fault (geology); Control theory (sociology); Turbine; Wind power; Voltage; Grid code; Engineering; Capacitor; AC power; Computer science; Electrical engineering; Control (management)","score_opus":0.009450070967497606,"score_gpt":0.189016543461326,"score_spread":0.17956647249382837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080837654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97746474,0.00014187128,0.019171197,0.000042102576,0.000012126894,0.000019675184,0.00005670937,0.0003618967,0.0027296343],"genre_scores_gemma":[0.9994031,0.000019393257,0.0003933304,0.0000028196,0.0000012681812,0.0000017031459,0.000014974633,0.0000034641312,0.00015982662],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999441,0.000013902314,0.0000038092087,0.000007813784,0.000017815311,0.000012672454],"domain_scores_gemma":[0.9998394,0.00006198595,0.00003833154,0.000015091946,0.000029440922,0.00001561831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011854762,0.00018984679,0.00025632075,0.00023952329,0.00012125388,0.00024643575,0.0002018417,0.00020532872,0.0007845508],"category_scores_gemma":[0.00035023852,0.00005632955,0.0000975935,0.00015436353,0.00013911564,0.0002006287,0.00011408746,0.00014465685,0.00010494831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020275258,0.00018481609,0.014167832,0.0005232994,0.000104057945,0.0032337443,0.00044687363,0.28409764,0.5886569,0.002073085,0.0012921533,0.10319207],"study_design_scores_gemma":[0.00017594268,0.00165017,0.03600351,0.00002754047,0.00011384537,0.0011254066,0.00019836685,0.8488615,0.10923291,0.0007391582,0.0018409274,0.00003071052],"about_ca_topic_score_codex":0.001392963,"about_ca_topic_score_gemma":0.0017831052,"teacher_disagreement_score":0.001392963,"about_ca_system_score_codex":0.00013159213,"about_ca_system_score_gemma":0.00008856155,"threshold_uncertainty_score":0.0027697086},"labels":[],"label_agreement":null},{"id":"W2082757290","doi":"10.1049/iet-rpg:20060008","title":"High-performance voltage control scheme for wind park integration","year":2007,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Decoupling (probability); Control theory (sociology); Voltage controller; AC power; Voltage; Controller (irrigation); Voltage regulation; Induction generator; Voltage regulator; Wind power; Engineering; Compensation (psychology); Voltage optimisation; Computer science; Voltage droop; Control engineering; Control (management); Electrical engineering","score_opus":0.009292448988415547,"score_gpt":0.2053000413838028,"score_spread":0.19600759239538726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082757290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050045487,0.00024236638,0.9414553,0.00009526671,0.00019726228,0.00012277647,0.00003596273,0.0018412988,0.005964326],"genre_scores_gemma":[0.9234027,0.000075915304,0.07279654,0.000045080535,0.00006056919,0.00007675393,0.000053910204,0.000026594498,0.0034619838],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980766,0.000023865066,0.000015644348,0.000046017794,0.00008670223,0.000020166937],"domain_scores_gemma":[0.9998332,0.000021293969,0.000023854414,0.000036738613,0.000069901645,0.0000149748075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021817403,0.00031587598,0.00025165424,0.00021278243,0.00021521417,0.00053591665,0.0005855411,0.0003103095,0.0023236952],"category_scores_gemma":[0.00034492553,0.0001021735,0.000108622284,0.00014219004,0.0002167965,0.00040293977,0.00026300125,0.00051186234,0.00041044087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043148268,0.0003531353,0.0008740804,0.00019382355,0.00004614117,0.00036284348,0.00017349215,0.05833767,0.3267428,0.024768682,0.0039854855,0.58373046],"study_design_scores_gemma":[0.00028429498,0.0013254172,0.0016724821,0.00003569854,0.000051024683,0.0005689428,0.00003086851,0.78973895,0.16408107,0.007400346,0.034760863,0.000050029856],"about_ca_topic_score_codex":0.00039253393,"about_ca_topic_score_gemma":0.00067803543,"teacher_disagreement_score":0.0023236952,"about_ca_system_score_codex":0.00021228049,"about_ca_system_score_gemma":0.00022966036,"threshold_uncertainty_score":0.0077735186},"labels":[],"label_agreement":null},{"id":"W2116976548","doi":"10.1049/iet-rpg.2011.0052","title":"Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking","year":2012,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Maximum power point tracking; Control theory (sociology); Photovoltaic system; Maximum power principle; Conductance; Controller (irrigation); Tracking (education); Power (physics); Process (computing); SIGNAL (programming language); Point (geometry); Stability (learning theory); Computer science; Small-signal model; Degenerate energy levels; Engineering; Control engineering; Control (management); Mathematics; Voltage; Artificial intelligence; Machine learning; Physics; Electrical engineering","score_opus":0.046580733551785505,"score_gpt":0.28737274761816967,"score_spread":0.24079201406638417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116976548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03175987,0.00028762184,0.9545834,0.000115042305,0.00003651554,0.00008574776,0.00007111363,0.000526804,0.012533911],"genre_scores_gemma":[0.95513904,0.00047260284,0.0392112,0.00002535161,0.000015381105,0.00018175584,0.000059432063,0.000044548276,0.0048507135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998473,0.0000426222,0.0000069632924,0.000022691942,0.00006821382,0.00001228906],"domain_scores_gemma":[0.9999162,0.000031791496,0.000018781631,0.0000096898675,0.00001952731,0.0000039399383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001907184,0.00040422493,0.00042593596,0.00022461457,0.00027777662,0.00078954804,0.0007085371,0.00063454354,0.0013664627],"category_scores_gemma":[0.0003309563,0.00024661442,0.0005164798,0.00034496648,0.00036195718,0.0004815446,0.00029758428,0.00046268804,0.0003709479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028011867,0.00001625745,0.00014738491,0.000062680956,0.00001254564,0.000076271914,0.000046250007,0.9715295,0.013335343,0.0041557164,0.00021614507,0.010373861],"study_design_scores_gemma":[0.0000043434015,0.000028635957,0.00010880812,0.0000047739204,0.000004373899,0.000019199235,0.000004624148,0.9970571,0.0013095902,0.00088905706,0.00056502665,0.00000446232],"about_ca_topic_score_codex":0.0026650068,"about_ca_topic_score_gemma":0.0026571695,"teacher_disagreement_score":0.0026650068,"about_ca_system_score_codex":0.00035667844,"about_ca_system_score_gemma":0.00044829125,"threshold_uncertainty_score":0.005298972},"labels":[],"label_agreement":null},{"id":"W2128456569","doi":"10.1049/iet-rpg:20070093","title":"Development and simulation of dynamic control strategies for wind farms","year":2009,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Turbine; Wind power; Wind speed; Tracking (education); Marine engineering; Control (management); Mode (computer interface); Wind profile power law; Power (physics); Engineering; Control theory (sociology); Environmental science; Automotive engineering; Computer science; Meteorology; Aerospace engineering; Electrical engineering; Physics","score_opus":0.010781629850994142,"score_gpt":0.22817228215477406,"score_spread":0.2173906523037799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128456569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19460936,0.0004975587,0.7643173,0.0004227861,0.00025076076,0.00052470894,0.0004794805,0.0018015018,0.037096597],"genre_scores_gemma":[0.91406906,0.00024018239,0.079892166,0.00003949595,0.000016014701,0.00063137285,0.00026777296,0.000068131936,0.004775887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998547,0.000035450405,0.000011080533,0.000017883953,0.00005392334,0.000027052345],"domain_scores_gemma":[0.999589,0.00020511384,0.00003338166,0.000033420747,0.000112857335,0.000026259204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003865158,0.00069436996,0.00074402185,0.00038209555,0.00046241708,0.0008651526,0.0008575137,0.001059252,0.0034269386],"category_scores_gemma":[0.0011835385,0.00041639764,0.00047285194,0.0003667037,0.00038031867,0.0005622167,0.00048125023,0.0007890343,0.00038839589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015521198,0.00002168352,0.00017238475,0.000027158943,0.000008497594,0.00002981686,0.00001697694,0.99442935,0.00068696705,0.0012368349,0.00013730791,0.0032175947],"study_design_scores_gemma":[0.000009070581,0.000015514983,0.000041277788,0.000002242958,0.0000019294762,0.0000028861853,0.0000039788392,0.99906236,0.00028257066,0.0002465977,0.00032981928,0.0000018181705],"about_ca_topic_score_codex":0.010564695,"about_ca_topic_score_gemma":0.006255308,"teacher_disagreement_score":0.010564695,"about_ca_system_score_codex":0.00050278124,"about_ca_system_score_gemma":0.00072185067,"threshold_uncertainty_score":0.021006405},"labels":[],"label_agreement":null},{"id":"W2151469760","doi":"10.1049/iet-rpg:20080036","title":"Adequacy assessment of generating systems containing wind power considering wind speed correlation","year":2009,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Wind speed; Monte Carlo method; Renewable energy; Electric power system; Environmental science; Reliability (semiconductor); Meteorology; Computer science; Power (physics); Mathematics; Engineering; Statistics; Physics; Electrical engineering","score_opus":0.01712590334463535,"score_gpt":0.2448132684524766,"score_spread":0.22768736510784127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151469760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60080636,0.000192986,0.39511412,0.00008808443,0.000010402659,0.00012245323,0.000111791356,0.00034918415,0.0032046605],"genre_scores_gemma":[0.9906872,0.00003237129,0.009053799,0.000004062994,0.000003283354,0.000019013662,0.000045367902,0.000011949298,0.00014292472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891806,0.00070077676,0.000050432933,0.000056134282,0.0002289367,0.00004552227],"domain_scores_gemma":[0.9941374,0.0045606773,0.00050070824,0.0002655339,0.00044849358,0.00008722648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001882452,0.00047223753,0.00056698435,0.0010277359,0.00020833533,0.00052500726,0.00032474098,0.00045217425,0.00062342576],"category_scores_gemma":[0.012100978,0.00021580473,0.00032187108,0.00040919497,0.00039394252,0.00050902745,0.00040893018,0.0002257168,0.000081759026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016699063,0.000028966833,0.009434865,0.000053666536,0.000041466847,0.00023932489,0.000080193844,0.96159613,0.0026267457,0.0029508085,0.00017223104,0.022608548],"study_design_scores_gemma":[0.0000044863878,0.000033708613,0.0015775979,0.0000045839265,0.000008821016,0.000031489533,0.000011336979,0.9966535,0.0006852528,0.0009097287,0.000075419404,0.000004129126],"about_ca_topic_score_codex":0.001892098,"about_ca_topic_score_gemma":0.0019462373,"teacher_disagreement_score":0.001892098,"about_ca_system_score_codex":0.00029676914,"about_ca_system_score_gemma":0.00039396426,"threshold_uncertainty_score":0.009955466},"labels":[],"label_agreement":null},{"id":"W2154642422","doi":"10.1049/iet-rpg.2009.0031","title":"Probabilistic evaluation of transient stability of a power system incorporating wind farms","year":2010,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transient (computer programming); Electric power system; Fault (geology); Control theory (sociology); Context (archaeology); Turbine; Wind power; Probabilistic logic; Time domain; Engineering; Stability (learning theory); Computer science; Power (physics); Reliability engineering; Electrical engineering; Physics","score_opus":0.021058300522468393,"score_gpt":0.22589781439898265,"score_spread":0.20483951387651425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154642422","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39698842,0.0001510162,0.5999992,0.00006185883,0.000010804108,0.000040815674,0.00017152914,0.00022497101,0.0023513956],"genre_scores_gemma":[0.99450773,0.00004445211,0.0052312193,0.000002926791,0.0000057959364,0.000017789196,0.00006237099,0.000008747498,0.0001190457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909854,0.00041173698,0.000053340354,0.00009221434,0.0002834024,0.00006083822],"domain_scores_gemma":[0.9968725,0.002088045,0.0005108858,0.00017374408,0.00029405882,0.00006091027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014696277,0.00057885016,0.00046937118,0.0008164004,0.00021989382,0.00064936484,0.00048795543,0.0005120592,0.00063508743],"category_scores_gemma":[0.00629432,0.0002721829,0.0004957462,0.0005842611,0.0004586348,0.0009705201,0.0004977621,0.00034069523,0.00009075444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035138975,0.0000070120827,0.0011472747,0.00001104723,0.00002349913,0.000032868655,0.000007741678,0.99381965,0.00089037116,0.0018027275,0.000019854146,0.0022028608],"study_design_scores_gemma":[0.0000016454692,0.000026688527,0.00072804734,0.0000015952313,0.0000063224597,0.000014987863,0.0000031341187,0.9982449,0.00030581554,0.00062882656,0.000034849785,0.0000033298502],"about_ca_topic_score_codex":0.0012135301,"about_ca_topic_score_gemma":0.0008050742,"teacher_disagreement_score":0.0014696277,"about_ca_system_score_codex":0.0004062531,"about_ca_system_score_gemma":0.00028088232,"threshold_uncertainty_score":0.0077722073},"labels":[],"label_agreement":null},{"id":"W2155576501","doi":"10.1049/iet-rpg.2013.0094","title":"Generalised model of a photovoltaic panel","year":2014,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bluewater Power Distribution (Canada); Western University","funders":"","keywords":"Photovoltaic system; Panel data; Computer science; Econometrics; Engineering; Mathematics; Electrical engineering","score_opus":0.043607085114613975,"score_gpt":0.24072642692343346,"score_spread":0.1971193418088195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155576501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018432552,0.0006552733,0.93216616,0.0003091354,0.000112788,0.00009821804,0.00092775765,0.0008302848,0.046467856],"genre_scores_gemma":[0.8506282,0.0017913484,0.07368926,0.00026014226,0.00012499845,0.0006295926,0.0014096942,0.00027355025,0.07119309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996743,0.000082672384,0.000016725775,0.000079742786,0.0001120274,0.000034521927],"domain_scores_gemma":[0.9998068,0.00006454701,0.000029486744,0.000028709263,0.00006194929,0.0000085134925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002608382,0.0006967577,0.00082860485,0.0005463611,0.00042747273,0.0012967088,0.0018903402,0.001996307,0.006569559],"category_scores_gemma":[0.0005783367,0.00038691875,0.0013279099,0.00090874854,0.00065619923,0.0011149028,0.00084533927,0.001007346,0.0022261252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002344897,0.000011823177,0.00016733335,0.0001025022,0.000019280762,0.0002039048,0.00007753197,0.9709844,0.0062152706,0.014323952,0.00077859295,0.007091959],"study_design_scores_gemma":[0.000007985884,0.000030397536,0.00016981877,0.000011160265,0.000013770815,0.00010968288,0.000015473259,0.9893623,0.0007299849,0.005921808,0.003616066,0.000011463625],"about_ca_topic_score_codex":0.0035411925,"about_ca_topic_score_gemma":0.0020814727,"teacher_disagreement_score":0.006569559,"about_ca_system_score_codex":0.00057770644,"about_ca_system_score_gemma":0.000589656,"threshold_uncertainty_score":0.021977365},"labels":[],"label_agreement":null},{"id":"W2222443055","doi":"10.1049/iet-rpg.2015.0143","title":"Field measurements for the assessment of inertial response for wind power plants based on Hydro‐Québec TransÉnergie requirements","year":2015,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Field (mathematics); Wind power; Environmental science; Inertial frame of reference; Aerospace engineering; Physics; Nuclear engineering; Electrical engineering; Engineering; Mathematics","score_opus":0.06840573967157663,"score_gpt":0.2914855124652186,"score_spread":0.22307977279364194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222443055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96977746,0.00009173544,0.014973409,0.00008963637,0.000032211014,0.00035578446,0.0044995663,0.00042806906,0.009752107],"genre_scores_gemma":[0.9924349,0.000043014184,0.0039247554,0.000025651407,0.0000036133854,0.0001028893,0.001844642,0.000018938636,0.001601513],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996811,0.000046199984,0.000011825103,0.000041438605,0.000174624,0.000044900564],"domain_scores_gemma":[0.99903107,0.00010445558,0.00009542588,0.00007069571,0.0006376585,0.000060831444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005774141,0.00050420064,0.00020955656,0.0003813908,0.0006464395,0.00034045693,0.0005242497,0.0002475501,0.0017274916],"category_scores_gemma":[0.0008006934,0.00013097409,0.00013109254,0.0005041915,0.00020537511,0.00029633913,0.00015266829,0.00036230517,0.00026073103],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015017734,0.001893997,0.29034105,0.00045469368,0.00016588402,0.0006246199,0.00095782394,0.11142953,0.4503998,0.0012380406,0.015226806,0.12576589],"study_design_scores_gemma":[0.00021358713,0.0010793717,0.83933437,0.000044171717,0.000053585685,0.00011781707,0.00048636782,0.0945677,0.05526225,0.0001236164,0.008657199,0.000059965463],"about_ca_topic_score_codex":0.5112713,"about_ca_topic_score_gemma":0.7530272,"teacher_disagreement_score":0.5112713,"about_ca_system_score_codex":0.0022805932,"about_ca_system_score_gemma":0.0021241999,"threshold_uncertainty_score":0.98321384},"labels":[],"label_agreement":null},{"id":"W2295974072","doi":"10.1049/iet-rpg.2015.0137","title":"Operational experiences with inertial response provided by type 4 wind turbines","year":2015,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Inertial frame of reference; Computer science; Marine engineering; Environmental science; Aerospace engineering; Engineering; Physics; Electrical engineering","score_opus":0.015155760414452109,"score_gpt":0.21539107020809256,"score_spread":0.20023530979364046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295974072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447495,0.00008398334,0.0023550668,0.000045841633,0.000005635141,0.000022570744,0.00008495273,0.00003184746,0.0028951191],"genre_scores_gemma":[0.9950177,0.00016513954,0.0024088428,0.00001903568,0.0000071927893,0.0000112139705,0.0002622182,0.000019466203,0.002089117],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989807,0.00026941265,0.00006034522,0.00011047228,0.0004114353,0.00016753293],"domain_scores_gemma":[0.9980927,0.00056005514,0.0001207692,0.00019892683,0.0008768422,0.00015066938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00224789,0.0004189586,0.00032189902,0.00041392984,0.0007240277,0.0006455444,0.00058873696,0.00036346965,0.0010235611],"category_scores_gemma":[0.0025841712,0.00015863984,0.00023185789,0.0006032121,0.00052485714,0.00056046044,0.00047532388,0.00037015486,0.0002549629],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023045628,0.0021496788,0.1806648,0.0009622026,0.00018970063,0.0029861082,0.051071323,0.06287425,0.20818517,0.0014833767,0.004907294,0.4822215],"study_design_scores_gemma":[0.0001702995,0.015007903,0.7134604,0.00025394862,0.00026535755,0.0023058022,0.030768752,0.04812081,0.10958282,0.0007303345,0.07897739,0.0003561682],"about_ca_topic_score_codex":0.045414876,"about_ca_topic_score_gemma":0.09080368,"teacher_disagreement_score":0.045414876,"about_ca_system_score_codex":0.0011869395,"about_ca_system_score_gemma":0.00064702844,"threshold_uncertainty_score":0.09030104},"labels":[],"label_agreement":null},{"id":"W2309801009","doi":"10.1049/iet-rpg.2014.0250","title":"Power sharing control strategies for a three‐phase microgrid in different operating condition with droop control and damping factor investigation","year":2015,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Universidade Federal de Minas Gerais; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Concordia University; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Federal de Viçosa","keywords":"Voltage droop; Microgrid; Control theory (sociology); Power factor; Control (management); Power (physics); Power sharing; Load sharing; Phase control; Phase (matter); Power control; Factor (programming language); Computer science; Engineering; Electrical engineering; Voltage; Physics; Voltage regulator","score_opus":0.01939978984375586,"score_gpt":0.23399343088588784,"score_spread":0.21459364104213197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309801009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5856061,0.00037665517,0.40410683,0.00011816261,0.00003373137,0.0001214433,0.000045420828,0.00038402577,0.009207629],"genre_scores_gemma":[0.99673426,0.000030793803,0.0029781626,0.0000037804725,0.0000020799987,0.0000122309875,0.0000064967394,0.0000033112742,0.00022890049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999007,0.000023446133,0.000008722789,0.000020854177,0.000030047833,0.00001625842],"domain_scores_gemma":[0.999851,0.00004282224,0.000040877247,0.000016401116,0.000040758365,0.0000080805485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025252622,0.00057937426,0.00027245213,0.00023668761,0.00019881656,0.00051114074,0.0003423473,0.00019541479,0.00081849255],"category_scores_gemma":[0.00039590284,0.0001051284,0.00022232308,0.00015854866,0.00024734205,0.00031062737,0.000298386,0.00023498567,0.00009287081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005781443,0.00022929937,0.001736558,0.00035845354,0.00010319711,0.00039273023,0.00045700016,0.8290715,0.067783244,0.0065930546,0.00055618107,0.0921406],"study_design_scores_gemma":[0.00003070276,0.00039035873,0.0009859921,0.00000996726,0.00002970497,0.000045859455,0.00007499102,0.98960984,0.0072729345,0.0009524528,0.0005887207,0.0000085385345],"about_ca_topic_score_codex":0.0016173504,"about_ca_topic_score_gemma":0.001363406,"teacher_disagreement_score":0.0016173504,"about_ca_system_score_codex":0.00018054698,"about_ca_system_score_gemma":0.00017156386,"threshold_uncertainty_score":0.003215909},"labels":[],"label_agreement":null},{"id":"W2368505321","doi":"10.1049/iet-rpg.2015.0282","title":"Global energy management system for cooperative networked residential green buildings","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Controller (irrigation); Grid; Control (management); Wind power; Energy management; Building management system; Electric power system; Computer science; Power (physics); Engineering; Energy (signal processing); Electrical engineering","score_opus":0.00862517437838843,"score_gpt":0.2025003527020534,"score_spread":0.193875178323665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368505321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33609757,0.00025409096,0.6299116,0.00032321867,0.00009964551,0.000120062774,0.00014882167,0.0015836735,0.03146124],"genre_scores_gemma":[0.99126863,0.000031767377,0.0057038446,0.000020824176,0.000008425121,0.000031214262,0.000040867526,0.000013553768,0.002880772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998317,0.000044563334,0.0000062099984,0.000055009903,0.000036215017,0.000026314443],"domain_scores_gemma":[0.99989223,0.00002719138,0.000019321538,0.000016522112,0.000030005687,0.000014712838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028885805,0.00045790305,0.0004518681,0.00028298487,0.0005403808,0.00082163716,0.00058120186,0.00050804345,0.004065911],"category_scores_gemma":[0.00031205214,0.00015188885,0.00029548455,0.00034680017,0.00039111357,0.0007980228,0.0010236391,0.00031891037,0.00043474112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014328767,0.00007715135,0.0013476722,0.000035851008,0.000028647974,0.00021753166,0.000117788375,0.9497929,0.0034657342,0.006489321,0.0011960946,0.037087955],"study_design_scores_gemma":[0.000014609058,0.000046907124,0.00027628854,0.0000021892665,0.000009559032,0.000016151673,0.00003091104,0.9959109,0.00054598,0.0021632195,0.0009791157,0.000004275276],"about_ca_topic_score_codex":0.003481359,"about_ca_topic_score_gemma":0.0049177785,"teacher_disagreement_score":0.004065911,"about_ca_system_score_codex":0.0006899633,"about_ca_system_score_gemma":0.00038211775,"threshold_uncertainty_score":0.01360178},"labels":[],"label_agreement":null},{"id":"W2386684657","doi":"10.1049/iet-rpg.2015.0502","title":"Dynamic state estimation of a permanent magnet synchronous generator‐based wind turbine","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Permanent magnet synchronous generator; Turbine; Wind power; Generator (circuit theory); Control theory (sociology); Computer science; Magnet; Estimation; Induction generator; Control engineering; Permanent magnet synchronous motor; Automotive engineering; Engineering; Electrical engineering; Mechanical engineering; Physics; Control (management); Power (physics)","score_opus":0.005657904503459606,"score_gpt":0.19771238105130773,"score_spread":0.19205447654784813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386684657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23538603,0.00031391476,0.7571999,0.00021710973,0.00008611529,0.000064632826,0.00025114533,0.0006610958,0.00582001],"genre_scores_gemma":[0.99247074,0.00011286542,0.0058022533,0.000008481926,0.0000059292433,0.000027432314,0.00012810348,0.000008758876,0.001435332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999056,0.000022112425,0.0000066969296,0.00002578389,0.000030334697,0.000009515634],"domain_scores_gemma":[0.99986994,0.000048476497,0.00003084649,0.000017019642,0.00002890785,0.0000047663234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017374745,0.00041412024,0.00039728126,0.00020566238,0.00022085701,0.00049149344,0.00029316984,0.00042973127,0.00085238105],"category_scores_gemma":[0.00044557016,0.00023068766,0.0003193494,0.00017482133,0.00021968887,0.00046876934,0.00023375908,0.00043613833,0.0002391584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010250339,0.00004081855,0.0025415835,0.00010467972,0.000048695496,0.00021703281,0.00006369821,0.9495562,0.013061689,0.0016754236,0.00040136717,0.032186408],"study_design_scores_gemma":[0.000004142023,0.000047826517,0.001213586,0.0000034532072,0.0000074833733,0.000019002731,0.000005260995,0.9964977,0.0016016882,0.00025401526,0.00034112402,0.0000047131643],"about_ca_topic_score_codex":0.0033692166,"about_ca_topic_score_gemma":0.0031833944,"teacher_disagreement_score":0.0033692166,"about_ca_system_score_codex":0.00020929996,"about_ca_system_score_gemma":0.0003285617,"threshold_uncertainty_score":0.0066992044},"labels":[],"label_agreement":null},{"id":"W2461611690","doi":"10.1049/iet-rpg.2016.0252","title":"Wind power plants grid code compliance tests – Hydro‐Québec TransÉnergie experience","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Grid code; Wind power; Power grid; Grid; Compliance (psychology); Environmental science; Computer science; Nuclear engineering; Power (physics); Marine engineering; Electrical engineering; Physics; Engineering; AC power; Geology; Psychology","score_opus":0.02547331702975079,"score_gpt":0.23397004637041444,"score_spread":0.20849672934066366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461611690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89363945,0.0005374645,0.015197191,0.002041584,0.00013862661,0.0003478229,0.0018307396,0.00073427905,0.08553298],"genre_scores_gemma":[0.963455,0.00023487149,0.0056389915,0.0003384187,0.000014714396,0.00008239672,0.0014847959,0.00017367741,0.028577216],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9960372,0.00064103515,0.00010172408,0.00036822053,0.0023895702,0.00046221065],"domain_scores_gemma":[0.99010974,0.0010357441,0.00035408087,0.00065897265,0.0071842144,0.0006571561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038666332,0.000499497,0.00031763656,0.0005545198,0.0022503608,0.001165717,0.0011392403,0.00081082725,0.0037954273],"category_scores_gemma":[0.0046826177,0.00025679654,0.0002532061,0.0009789738,0.0011001455,0.00088951114,0.0008741486,0.0012741595,0.00062532525],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025124117,0.0034211103,0.17162913,0.0006583124,0.00026231376,0.0058358083,0.01567902,0.06389798,0.16568132,0.012012939,0.06406288,0.4943467],"study_design_scores_gemma":[0.0006057354,0.0071837185,0.393324,0.00025549746,0.00015032617,0.0022440325,0.010832459,0.04029604,0.13285697,0.0009533177,0.41084006,0.00045787488],"about_ca_topic_score_codex":0.7986471,"about_ca_topic_score_gemma":0.87324756,"teacher_disagreement_score":0.2013529,"about_ca_system_score_codex":0.011861115,"about_ca_system_score_gemma":0.0130843315,"threshold_uncertainty_score":0.4050774},"labels":[],"label_agreement":null},{"id":"W2470186343","doi":"10.1049/iet-rpg.2016.0258","title":"TSO experience with voltage control from wind power plants","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Wind power; Voltage; Electrical engineering; Control (management); Computer science; Environmental science; Engineering","score_opus":0.007649596166964243,"score_gpt":0.18489932419253022,"score_spread":0.177249728025566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470186343","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3710965,0.022667544,0.029566998,0.016440786,0.0016452676,0.0001373368,0.00040699428,0.00040551505,0.55763304],"genre_scores_gemma":[0.79381806,0.024066951,0.007991426,0.001250024,0.000721483,0.000042342162,0.0005841009,0.00021737973,0.17130826],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918467,0.00016432218,0.000031683943,0.000091011665,0.0003979759,0.0001303381],"domain_scores_gemma":[0.998681,0.0002268025,0.000050564267,0.00008432254,0.0005667752,0.00039044154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016344166,0.00039604743,0.0002236154,0.0004387943,0.0017221499,0.003002257,0.0006754687,0.00078091054,0.00905832],"category_scores_gemma":[0.0015961591,0.0002590656,0.00027440392,0.0010199507,0.0011655815,0.001234541,0.0011254819,0.0015204955,0.0017450774],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054731604,0.0011049595,0.011238345,0.0011530919,0.0000826948,0.0050859726,0.02890479,0.024124887,0.04410709,0.030643146,0.080368795,0.7726389],"study_design_scores_gemma":[0.000074865384,0.00094327447,0.011016906,0.00037053012,0.000028574425,0.0016993925,0.0060686353,0.0073713674,0.011252616,0.0037865834,0.9572956,0.00009172882],"about_ca_topic_score_codex":0.04881776,"about_ca_topic_score_gemma":0.0715839,"teacher_disagreement_score":0.04881776,"about_ca_system_score_codex":0.0021205936,"about_ca_system_score_gemma":0.002653399,"threshold_uncertainty_score":0.09706718},"labels":[],"label_agreement":null},{"id":"W2474396116","doi":"10.1049/iet-rpg.2016.0285","title":"Speed control of sensorless induction generator by artificial neural network in wind energy conversion system","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Control theory (sociology); Rotor (electric); Torque; Stator; Induction generator; Multivariable calculus; MATLAB; Artificial neural network; Control engineering; Vector control; Extended Kalman filter; Kalman filter; MRAS; Engineering; Computer science; Wind power; Induction motor; Voltage; Artificial intelligence","score_opus":0.008758903792815076,"score_gpt":0.18196534901601893,"score_spread":0.17320644522320386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474396116","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19675136,0.0011555145,0.7897368,0.0002519548,0.00021374051,0.00009939279,0.0000538813,0.00092901965,0.010808383],"genre_scores_gemma":[0.98899055,0.00015555648,0.009766045,0.000021566613,0.000011663833,0.000035161986,0.000018349085,0.000005955786,0.0009952032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985015,0.000033639495,0.000014360875,0.000032554806,0.00005446494,0.000014818702],"domain_scores_gemma":[0.999881,0.00003586444,0.00002789824,0.000007653024,0.00004374772,0.0000037631712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054252,0.00041066375,0.00026809634,0.00013912492,0.00022521868,0.00046779757,0.0003886442,0.0003018812,0.0006139009],"category_scores_gemma":[0.00042028804,0.00013093288,0.00016974659,0.00015169794,0.00019563589,0.0002880215,0.00016334739,0.0002712195,0.000081063125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025682902,0.00011733621,0.0016884712,0.00025945183,0.00006168113,0.00022962385,0.00011455299,0.83410656,0.025200099,0.0038704672,0.0009785374,0.13311628],"study_design_scores_gemma":[0.000013729128,0.00006788746,0.00045647295,0.0000062368986,0.000009716896,0.000016268796,0.000004525698,0.99677974,0.0020327216,0.00023562009,0.000372861,0.00000424795],"about_ca_topic_score_codex":0.0028388265,"about_ca_topic_score_gemma":0.0026782511,"teacher_disagreement_score":0.0028388265,"about_ca_system_score_codex":0.00023061156,"about_ca_system_score_gemma":0.0002271042,"threshold_uncertainty_score":0.005644679},"labels":[],"label_agreement":null},{"id":"W2520678058","doi":"10.1049/iet-rpg.2016.0173","title":"Introduction to PRO for energy conversion applications including an electric equivalent circuit","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Electrical engineering; Computer science; Energy transformation; Equivalent circuit; Electric energy; Engineering; Physics; Voltage; Power (physics)","score_opus":0.035937203245788946,"score_gpt":0.2702410258586872,"score_spread":0.23430382261289825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520678058","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004344112,0.030499924,0.73787254,0.0044258856,0.0061907335,0.00021479036,0.0017691669,0.0020613738,0.21262148],"genre_scores_gemma":[0.11727109,0.049504075,0.34491524,0.005442485,0.0044417726,0.0007195891,0.0019656355,0.0012938838,0.47444636],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998178,0.000030889747,0.000015411188,0.000046092573,0.000079123834,0.000010761657],"domain_scores_gemma":[0.9998036,0.000083889565,0.000017452925,0.000028386203,0.000060018214,0.00000662091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019468427,0.0007728338,0.000313912,0.00047942947,0.00033089984,0.0009924802,0.00065677863,0.0014347675,0.027477624],"category_scores_gemma":[0.00057219685,0.00029245045,0.0006456976,0.0006939989,0.0005561877,0.001903937,0.00055903674,0.002262935,0.013414219],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009224066,0.00012552316,0.00035770755,0.001808857,0.000039100607,0.000800514,0.0002105966,0.012243554,0.0657068,0.40230787,0.084755905,0.43155143],"study_design_scores_gemma":[0.0000061722585,0.00010286587,0.00024240374,0.0001265856,0.00001263671,0.0007130352,0.000020891954,0.011559567,0.007249442,0.031274956,0.94866776,0.000023613211],"about_ca_topic_score_codex":0.00046465575,"about_ca_topic_score_gemma":0.00055759994,"teacher_disagreement_score":0.027477624,"about_ca_system_score_codex":0.0003166856,"about_ca_system_score_gemma":0.0002298273,"threshold_uncertainty_score":0.09192181},"labels":[],"label_agreement":null},{"id":"W2522571053","doi":"10.1049/iet-rpg.2016.0033","title":"Experimental analysis of buoyancy battery energy storage system","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Buoyancy; Energy storage; Computer science; Automotive engineering; Environmental science; Electrical engineering; Nuclear engineering; Engineering; Mechanics; Physics; Thermodynamics; Power (physics)","score_opus":0.013861358167621414,"score_gpt":0.22671480488316334,"score_spread":0.21285344671554193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522571053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922587,0.00018342452,0.0040553063,0.0000789944,0.000056942696,0.0001452263,0.00076208106,0.00015119952,0.002308068],"genre_scores_gemma":[0.9962004,0.0001633797,0.0015587666,0.000022975599,0.000011117354,0.000090390306,0.00034413574,0.000015640378,0.0015930647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970764,0.000032624066,0.00004028081,0.000056449328,0.00011408343,0.000048925183],"domain_scores_gemma":[0.99953556,0.00012221503,0.00003222297,0.000059558413,0.00021494208,0.0000355163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033020152,0.00042167417,0.0005338594,0.00041613908,0.0006474819,0.00041330015,0.0006372067,0.0004980913,0.0051202495],"category_scores_gemma":[0.0006268597,0.0001336036,0.00022976902,0.00040277038,0.00040795346,0.0006059928,0.0004160231,0.00034948625,0.00055024016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010361243,0.0003494214,0.002821536,0.00071756233,0.0000323223,0.00045804578,0.00050121354,0.0048860684,0.9701174,0.0006318007,0.00075003144,0.017698674],"study_design_scores_gemma":[0.00016150963,0.005477193,0.009586214,0.00005168187,0.00005001407,0.0002810523,0.00048453905,0.020668184,0.9568601,0.00038507432,0.005953541,0.00004088848],"about_ca_topic_score_codex":0.00079079124,"about_ca_topic_score_gemma":0.0009139381,"teacher_disagreement_score":0.0051202495,"about_ca_system_score_codex":0.00030221985,"about_ca_system_score_gemma":0.00024976468,"threshold_uncertainty_score":0.017128944},"labels":[],"label_agreement":null},{"id":"W2549982861","doi":"10.1049/iet-rpg.2016.0138","title":"Conventional and fuzzy PODCs for DFIG‐based wind farms and their impact on inter‐area and torsional oscillation damping","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Doubly fed electric machine; Oscillation (cell signaling); Fuzzy logic; Control theory (sociology); Physics; Computer science; Environmental science; Engineering; Electrical engineering; AC power; Voltage; Chemistry; Control (management)","score_opus":0.016154892147391058,"score_gpt":0.22597278081014524,"score_spread":0.2098178886627542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549982861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3286275,0.0015091806,0.6607289,0.00021688976,0.00019558216,0.00017039858,0.00011924019,0.00040934383,0.008022987],"genre_scores_gemma":[0.9764088,0.00019715345,0.022708092,0.000017613302,0.00001002076,0.00004401505,0.000022186978,0.000006268488,0.0005859513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998098,0.00004335536,0.000016605303,0.000029857667,0.00008392394,0.000016496866],"domain_scores_gemma":[0.99946934,0.00024449718,0.000068501286,0.00003764825,0.00015754688,0.000022472821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045629937,0.00043330484,0.00024371824,0.00027175687,0.00027254227,0.00073495414,0.00036967278,0.00048721512,0.00092713226],"category_scores_gemma":[0.0011523861,0.00015447469,0.0002087905,0.00021091482,0.00028444175,0.00032488187,0.0002086693,0.0004680741,0.000112101574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094659167,0.00032694603,0.0035439567,0.0010040237,0.00014848093,0.0004935652,0.00022198992,0.6428223,0.06308057,0.019463468,0.0014137132,0.26653436],"study_design_scores_gemma":[0.000062844294,0.00037518903,0.0014306454,0.000024894174,0.000028695104,0.0000881511,0.000036258654,0.98581,0.009144567,0.0013009916,0.0016832174,0.000014614961],"about_ca_topic_score_codex":0.0009051955,"about_ca_topic_score_gemma":0.0018118875,"teacher_disagreement_score":0.00092713226,"about_ca_system_score_codex":0.00030631872,"about_ca_system_score_gemma":0.0002805791,"threshold_uncertainty_score":0.0031015277},"labels":[],"label_agreement":null},{"id":"W2550657052","doi":"10.1049/iet-rpg.2016.0635","title":"Optimal torque control based on effective tracking range for maximum power point tracking of wind turbines under varying wind conditions","year":2016,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Maximum power point tracking; Control theory (sociology); Wind power; Turbine; Torque; Wind speed; Range (aeronautics); Aerodynamics; Tracking (education); Maximum power principle; Power optimizer; Drivetrain; Computer science; Engineering; Control (management); Physics; Photovoltaic system; Voltage; Electrical engineering; Meteorology; Aerospace engineering","score_opus":0.012105118051054327,"score_gpt":0.22764927303079027,"score_spread":0.21554415497973595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550657052","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02471177,0.00032765837,0.970924,0.000036145808,0.000029974042,0.0000455786,0.000010282944,0.00024981503,0.0036647646],"genre_scores_gemma":[0.9548907,0.00018124511,0.043686777,0.000025381349,0.000026716576,0.00007366897,0.000020292011,0.00003638735,0.0010587495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996779,0.00005949014,0.000023588198,0.00006721465,0.00014326374,0.000028603767],"domain_scores_gemma":[0.99966776,0.00012540602,0.00008890837,0.000024760171,0.00008069209,0.00001247054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040218586,0.00048274847,0.00044297244,0.0004002572,0.00021083622,0.0005763038,0.0003862092,0.00030332542,0.000563483],"category_scores_gemma":[0.001084406,0.00017923857,0.0002464715,0.00031129236,0.00034194102,0.0005176332,0.00029647816,0.00031876142,0.00015586625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026791793,0.000090947826,0.0008462225,0.00038466402,0.000040283947,0.00015741793,0.00022294877,0.6882895,0.08842487,0.0119762225,0.0009626557,0.20833622],"study_design_scores_gemma":[0.000024564082,0.000165017,0.00068999676,0.000015898107,0.000013376878,0.000055900902,0.000014607522,0.9856296,0.010035023,0.001769574,0.0015688676,0.000017645747],"about_ca_topic_score_codex":0.0008019793,"about_ca_topic_score_gemma":0.0008566721,"teacher_disagreement_score":0.0008019793,"about_ca_system_score_codex":0.00023288948,"about_ca_system_score_gemma":0.00025512706,"threshold_uncertainty_score":0.0021269917},"labels":[],"label_agreement":null},{"id":"W2567700280","doi":"10.1049/iet-rpg.2016.0333","title":"Inertial response with improved variable recovery behaviour provided by type 4 WTs","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Inertial frame of reference; Computer science; Control theory (sociology); Mathematics; Physics; Artificial intelligence; Mathematical analysis; Classical mechanics","score_opus":0.007978592577546626,"score_gpt":0.2098847903559642,"score_spread":0.20190619777841756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567700280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7346944,0.00018167235,0.24076915,0.00023499972,0.00022700036,0.00019991412,0.00039037876,0.0029864414,0.02031598],"genre_scores_gemma":[0.98669875,0.000040131108,0.00939994,0.000027537682,0.000022459168,0.000056566092,0.00017353868,0.00005606918,0.0035249125],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971825,0.00005898691,0.00002787317,0.00003373278,0.00011486971,0.0000462494],"domain_scores_gemma":[0.9994537,0.00009381952,0.00012607424,0.00015283248,0.00014538661,0.000028179858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146243,0.00052704394,0.00038672626,0.0004370879,0.0001567692,0.00033451992,0.0006713427,0.0003756287,0.0045311907],"category_scores_gemma":[0.0008844799,0.00011949529,0.00030723884,0.00020391576,0.00022958682,0.00040228327,0.00033042795,0.00035246214,0.0010227803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023260063,0.00042733297,0.0069744033,0.00074999913,0.00009004252,0.00069648545,0.0004096763,0.14204061,0.6414555,0.0028986621,0.0030603115,0.19887102],"study_design_scores_gemma":[0.0006458005,0.00772593,0.046529375,0.00012488468,0.00019264795,0.0009280195,0.00028137054,0.6021869,0.28238645,0.0025595406,0.056271553,0.00016758133],"about_ca_topic_score_codex":0.00070904376,"about_ca_topic_score_gemma":0.0007746805,"teacher_disagreement_score":0.0045311907,"about_ca_system_score_codex":0.00016043625,"about_ca_system_score_gemma":0.00015146147,"threshold_uncertainty_score":0.015158415},"labels":[],"label_agreement":null},{"id":"W2570432583","doi":"10.1049/iet-rpg.2016.0782","title":"Inertia compensation scheme of WTS considering time delay for emulating large‐inertia turbines","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Inertia; Control theory (sociology); Compensation (psychology); Scheme (mathematics); Computer science; Physics; Mathematics; Artificial intelligence; Classical mechanics","score_opus":0.021105584837776952,"score_gpt":0.2428622152067424,"score_spread":0.22175663036896545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570432583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14286235,0.00013235664,0.85228497,0.00008699935,0.00010432537,0.00009128433,0.00004555361,0.00072747865,0.0036646524],"genre_scores_gemma":[0.97822946,0.00004697061,0.02056609,0.000014707868,0.0000106341995,0.000037879476,0.00003545399,0.000015735042,0.0010430759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999032,0.000017001747,0.000008921911,0.00001670045,0.000040608244,0.000013535894],"domain_scores_gemma":[0.9998436,0.00004688143,0.00003618583,0.000024304352,0.000037911646,0.000010998009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020715951,0.00039695835,0.00023982652,0.00017215099,0.00019969771,0.00030873253,0.00044477812,0.000410941,0.0010547477],"category_scores_gemma":[0.00045770913,0.00012248324,0.00029405582,0.00010461837,0.00020920878,0.00040237283,0.00020999959,0.00042283948,0.00015913966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032253301,0.00012758758,0.0013543698,0.00017749293,0.00003517926,0.00025545966,0.00018405335,0.80687964,0.13314116,0.007898036,0.0006113335,0.049013223],"study_design_scores_gemma":[0.000010127562,0.00007273571,0.00017820633,0.0000030822757,0.000005493587,0.000014744652,0.0000035685598,0.99357384,0.0056223334,0.00013491264,0.00037717738,0.000003638069],"about_ca_topic_score_codex":0.0020820997,"about_ca_topic_score_gemma":0.0017332218,"teacher_disagreement_score":0.0020820997,"about_ca_system_score_codex":0.0002270598,"about_ca_system_score_gemma":0.00032103076,"threshold_uncertainty_score":0.00413996},"labels":[],"label_agreement":null},{"id":"W2590483131","doi":"10.1049/iet-rpg.2017.0101","title":"Guest Editorial: Selected Papers from the Wind and Solar Integration Workshop 2015","year":2017,"lang":"en","type":"editorial","venue":"IET Renewable Power Generation","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Wind power; Variable renewable energy; Solar power; Telecommunications; Grid; Computer science; Electric power system; Engineering; Power (physics); Operations research; Electrical engineering; Geography","score_opus":0.010309409940417817,"score_gpt":0.22828699726218094,"score_spread":0.21797758732176312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590483131","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015763006,0.008784506,0.0002743062,0.031482708,0.95335424,0.000050996285,0.0001962559,0.000085902284,0.0056134793],"genre_scores_gemma":[0.0022831874,0.018227851,0.000328329,0.02007773,0.8764368,0.00010148738,0.0006617524,0.0002621252,0.081620835],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961514,0.00043908387,0.0005190079,0.00058214227,0.0018961785,0.00041206984],"domain_scores_gemma":[0.9891403,0.0015985529,0.0007488974,0.00020609061,0.0062994505,0.0020067487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004850236,0.0028166869,0.002044421,0.003810908,0.0021710538,0.009466364,0.0024176177,0.0056900037,0.066749506],"category_scores_gemma":[0.012957207,0.0006315988,0.0022383386,0.0017252981,0.0008632479,0.0034508465,0.0021699953,0.0066425917,0.046525627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054039552,0.0000150476,0.000034696714,0.00021851857,0.0000085514,0.00010920965,0.000016818845,0.000029591076,0.00011041218,0.00016407558,0.9917487,0.007490456],"study_design_scores_gemma":[0.000027221779,0.000032251708,0.00032046094,0.0004298373,0.000020157657,0.00015060724,0.00007694577,0.000066980225,0.00020077452,0.00034754022,0.9983102,0.000017010148],"about_ca_topic_score_codex":0.0008897646,"about_ca_topic_score_gemma":0.0019515714,"teacher_disagreement_score":0.066749506,"about_ca_system_score_codex":0.0028104377,"about_ca_system_score_gemma":0.0022639688,"threshold_uncertainty_score":0.22329938},"labels":[],"label_agreement":null},{"id":"W2617951656","doi":"10.1049/iet-rpg.2016.0986","title":"Standalone fuel cell generation system with different tracking techniques: economic analysis","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Proton exchange membrane fuel cell; Maximum power point tracking; Electricity generation; Maximum power principle; Fuel cells; Tracking (education); Automotive engineering; Computer science; Electricity; Point (geometry); Power (physics); Tracking system; Electric power system; Photovoltaic system; Engineering; Process engineering; Electrical engineering; Voltage; Mathematics","score_opus":0.01197898631911604,"score_gpt":0.20543081431370822,"score_spread":0.19345182799459218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617951656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9157433,0.002400521,0.051603448,0.00027473224,0.000046723522,0.00037942347,0.0009933716,0.00015080954,0.028407583],"genre_scores_gemma":[0.9902174,0.0004146662,0.0060818177,0.000009093293,0.000012992862,0.000086559994,0.00023331093,0.00001995571,0.0029242446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947685,0.00011356141,0.000020607906,0.000041989722,0.00028922083,0.00005781306],"domain_scores_gemma":[0.9992035,0.00047581235,0.000050382965,0.000046475514,0.00020182671,0.000022047556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009765932,0.0006921877,0.00075517345,0.0015619582,0.000499451,0.001162447,0.00084013207,0.0006027271,0.0032447865],"category_scores_gemma":[0.001439134,0.00026107504,0.0008408136,0.0016311869,0.00027181595,0.0015589753,0.0004673127,0.00038146516,0.00024827034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017391577,0.00046921914,0.0084153935,0.0006398297,0.0002062686,0.0010035057,0.000053661202,0.8249207,0.031156613,0.007374892,0.0012766755,0.12274416],"study_design_scores_gemma":[0.000048656595,0.0007729755,0.012370257,0.000022698461,0.00021017414,0.0001713864,0.00008308978,0.96896625,0.014429328,0.0014572248,0.0014264743,0.000041490464],"about_ca_topic_score_codex":0.0038489155,"about_ca_topic_score_gemma":0.0069191884,"teacher_disagreement_score":0.0038489155,"about_ca_system_score_codex":0.0015053335,"about_ca_system_score_gemma":0.00054925244,"threshold_uncertainty_score":0.010922015},"labels":[],"label_agreement":null},{"id":"W2620605709","doi":"10.1049/iet-rpg.2016.0459","title":"Active and reactive power control of wind farm for enhancement transient stability of multi‐machine power system using UIPC","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Transient (computer programming); AC power; Control theory (sociology); Wind power; Stability (learning theory); Electric power system; Power (physics); Power control; Computer science; Control (management); Engineering; Physics; Electrical engineering; Artificial intelligence","score_opus":0.02299127386947174,"score_gpt":0.24607935903442846,"score_spread":0.2230880851649567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620605709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.148633,0.00036722014,0.8367719,0.00009467869,0.00013448973,0.000075922166,0.00005126843,0.0015214133,0.01235005],"genre_scores_gemma":[0.9865137,0.00006731301,0.012502845,0.000014841903,0.000018317956,0.000021352924,0.000019663566,0.0000156961,0.0008262864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989104,0.00002443321,0.0000069405446,0.000026758451,0.00003956959,0.00001129365],"domain_scores_gemma":[0.9998921,0.000026156624,0.000021777325,0.000016760145,0.00003656342,0.0000065844947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014318994,0.0003138234,0.00017406186,0.0001952399,0.00022234215,0.00037618467,0.00041485502,0.00018540617,0.0010271994],"category_scores_gemma":[0.0002996389,0.000090205,0.00012755407,0.000171628,0.00017052512,0.00033604974,0.00015284614,0.00028555878,0.00015481384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005054352,0.0003067494,0.0024884632,0.00046082478,0.00009588516,0.0005418563,0.0002642888,0.40982428,0.19597599,0.017386919,0.0039175483,0.3682318],"study_design_scores_gemma":[0.000044129232,0.0002801078,0.00089621585,0.0000122547835,0.000027603126,0.00008856154,0.000015666157,0.97098833,0.022924637,0.0013954913,0.003317549,0.000009513483],"about_ca_topic_score_codex":0.0008692539,"about_ca_topic_score_gemma":0.0017041594,"teacher_disagreement_score":0.0010271994,"about_ca_system_score_codex":0.00014099921,"about_ca_system_score_gemma":0.00017186839,"threshold_uncertainty_score":0.003436327},"labels":[],"label_agreement":null},{"id":"W2737072496","doi":"10.1049/iet-rpg.2017.0392","title":"Inertial response from wind power plants during a frequency disturbance on the Hydro‐Quebec system – event analysis and validation","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Disturbance (geology); Environmental science; Wind power; Event (particle physics); Electric power system; Inertial frame of reference; Control theory (sociology); Power (physics); Computer science; Engineering; Geology; Physics; Electrical engineering; Control (management)","score_opus":0.009070603030133422,"score_gpt":0.20423792213690753,"score_spread":0.1951673191067741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737072496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419373,0.000030609957,0.0020209956,0.000023546232,0.000007457205,0.000085048414,0.001090847,0.00008482429,0.0024630392],"genre_scores_gemma":[0.9982169,0.000015396054,0.00045232338,0.0000082509005,0.0000014916739,0.000025843627,0.0006908605,0.0000055497303,0.00058318296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997503,0.000030007523,0.000012325062,0.00004825963,0.000106631516,0.000052476786],"domain_scores_gemma":[0.99947876,0.00012478323,0.00006162367,0.000054876695,0.0002267338,0.00005327752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034702607,0.00061012694,0.00031196082,0.00045994757,0.00056249567,0.00045904744,0.0006099348,0.00036636964,0.0013983167],"category_scores_gemma":[0.0009074503,0.00015314594,0.00021253,0.00054923125,0.00038052935,0.00018993515,0.00027932622,0.00042115676,0.00020831922],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001743757,0.0008777536,0.21216251,0.00039874762,0.00032691658,0.0019655854,0.00086210266,0.6313372,0.08084131,0.0009164712,0.0048904037,0.063677154],"study_design_scores_gemma":[0.00010702713,0.0004781561,0.5538312,0.000022506087,0.000041540086,0.00010580747,0.00027772126,0.43125895,0.011787061,0.00007780948,0.0019590624,0.000053120446],"about_ca_topic_score_codex":0.68122804,"about_ca_topic_score_gemma":0.68221664,"teacher_disagreement_score":0.31877196,"about_ca_system_score_codex":0.0027504405,"about_ca_system_score_gemma":0.0013115474,"threshold_uncertainty_score":0.64129853},"labels":[],"label_agreement":null},{"id":"W2747836727","doi":"","title":"風力発電所系統連系要件準拠性試験ーHydro‐Quebec TransEnergie経験","year":2017,"lang":"ja","type":"article","venue":"IET Renewable Power Generation","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","score_opus":0.04428902033862663,"score_gpt":0.2812485598638836,"score_spread":0.23695953952525695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747836727","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26869404,0.004579574,0.013459114,0.012825512,0.0011371003,0.00033435962,0.007063097,0.0004819308,0.6914252],"genre_scores_gemma":[0.71364355,0.0011360543,0.005014488,0.00071714853,0.000042751177,0.00011979555,0.0013536729,0.000120696546,0.2778518],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987424,0.0002172379,0.00004235883,0.00013632246,0.00060914434,0.00025254532],"domain_scores_gemma":[0.99705017,0.00020822082,0.00006469997,0.00007452668,0.0023818456,0.0002206155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015147403,0.00043620585,0.00024538912,0.0013023305,0.0028594134,0.00460785,0.00064318796,0.0006908772,0.035169788],"category_scores_gemma":[0.0030237369,0.0001779807,0.00025230768,0.0016316723,0.0010627285,0.0010992943,0.0008214199,0.0011442314,0.0022229606],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017903857,0.00030115168,0.07740724,0.00063753995,0.00023702023,0.00071223924,0.007322933,0.009127924,0.020006735,0.14791477,0.18257901,0.5519631],"study_design_scores_gemma":[0.00013529797,0.00022423365,0.23191704,0.0005521002,0.00012966945,0.0003038386,0.008107035,0.0077100173,0.0118225105,0.0049328413,0.7339032,0.00026217292],"about_ca_topic_score_codex":0.972613,"about_ca_topic_score_gemma":0.98273015,"teacher_disagreement_score":0.035169788,"about_ca_system_score_codex":0.029882379,"about_ca_system_score_gemma":0.024710154,"threshold_uncertainty_score":0.21681285},"labels":[],"label_agreement":null},{"id":"W2766388729","doi":"10.1049/iet-rpg.2016.0482","title":"Approach to dynamic voltage stability analysis for DFIG wind parks integration","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Doubly fed electric machine; Control theory (sociology); Wind power; Stability (learning theory); Voltage; Computer science; Engineering; AC power; Electrical engineering; Control (management); Artificial intelligence","score_opus":0.028545841836765534,"score_gpt":0.2560499854265447,"score_spread":0.2275041435897792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766388729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04949335,0.000318533,0.94344443,0.000042223866,0.00001645334,0.000047598332,0.000055812634,0.00013894353,0.0064426865],"genre_scores_gemma":[0.9696231,0.0003320683,0.028041046,0.000015253748,0.00002062502,0.00007216683,0.000084350984,0.000044324377,0.0017671572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987185,0.00003229289,0.000006028002,0.000020845962,0.000053651936,0.00001524726],"domain_scores_gemma":[0.99988556,0.0000422415,0.000018080244,0.000008747538,0.00004027423,0.0000050041062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026459884,0.00052843755,0.00037811685,0.00070252747,0.0001886875,0.0005750256,0.0003500182,0.00027091274,0.0015396711],"category_scores_gemma":[0.0006652387,0.0001420896,0.00042584195,0.0003900483,0.00025130608,0.00051219785,0.00038136513,0.00045114354,0.00016929916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006488522,0.000042632142,0.0018507428,0.00010373061,0.00005008341,0.00020288443,0.00010070228,0.8989217,0.011710308,0.02192103,0.00052178255,0.06450945],"study_design_scores_gemma":[0.0000010911837,0.000013166665,0.0003164961,0.0000039770894,0.000003205091,0.000012210968,0.000010094221,0.9972926,0.000547274,0.0014735505,0.00032386841,0.0000024937788],"about_ca_topic_score_codex":0.0021336034,"about_ca_topic_score_gemma":0.0013790433,"teacher_disagreement_score":0.0021336034,"about_ca_system_score_codex":0.000326574,"about_ca_system_score_gemma":0.0002946755,"threshold_uncertainty_score":0.0051507354},"labels":[],"label_agreement":null},{"id":"W2773708155","doi":"10.1049/iet-rpg.2017.0579","title":"Oscillatory stability assessment of microgrid in autonomous operation with uncertainties","year":2017,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Microgrid; Stability (learning theory); Control theory (sociology); Computer science; Control engineering; Reliability engineering; Engineering; Control (management); Artificial intelligence; Machine learning","score_opus":0.0136114522929526,"score_gpt":0.23124344336894528,"score_spread":0.21763199107599268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773708155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9291695,0.00014484763,0.067383796,0.000044633165,0.000007971324,0.000020521691,0.000076613964,0.00009781411,0.0030543979],"genre_scores_gemma":[0.9995433,0.000015351297,0.00033273298,0.0000011095283,7.5634114e-7,0.0000037504624,0.0000102036165,0.00000207536,0.00009074769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999026,0.00003293852,0.000005545382,0.00001666167,0.000027593645,0.000014688764],"domain_scores_gemma":[0.99964833,0.00019255128,0.000065093525,0.00002728318,0.00005246628,0.000014373759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032908743,0.0003457949,0.0002892731,0.00028364395,0.00019727003,0.00040826804,0.0002434946,0.00026298722,0.0005417203],"category_scores_gemma":[0.001002554,0.00012455783,0.00032768954,0.00015796859,0.00025524796,0.00027984547,0.00029940618,0.00020589352,0.000054017215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009985413,0.000014757673,0.0047154482,0.000036645193,0.000036544476,0.00015008017,0.000056836703,0.98485094,0.004077698,0.0009116575,0.00008657252,0.004963015],"study_design_scores_gemma":[0.0000022717697,0.00003793827,0.0015788501,0.0000026972714,0.000005805247,0.000012811182,0.000019046329,0.99751306,0.00049446296,0.00027995475,0.000050140497,0.000002986883],"about_ca_topic_score_codex":0.00343626,"about_ca_topic_score_gemma":0.0015636709,"teacher_disagreement_score":0.00343626,"about_ca_system_score_codex":0.00025961007,"about_ca_system_score_gemma":0.00020108851,"threshold_uncertainty_score":0.00683254},"labels":[],"label_agreement":null},{"id":"W2789841461","doi":"10.1049/iet-rpg.2017.0539","title":"Combined control method for grid‐side converter of doubly fed induction generator‐based wind energy conversion systems","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Doubly fed electric machine; Induction generator; Wind power; Grid; Control theory (sociology); Generator (circuit theory); Computer science; Control (management); Electrical engineering; Engineering; AC power; Physics; Mathematics; Voltage; Power (physics)","score_opus":0.013840067800930576,"score_gpt":0.2243397682945813,"score_spread":0.21049970049365072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789841461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015422175,0.000629051,0.97976285,0.000058852704,0.000115305505,0.000081510116,0.000014799512,0.00035327085,0.0035621363],"genre_scores_gemma":[0.91391057,0.00040715604,0.08180405,0.000058931582,0.00009799359,0.00017118767,0.000050930263,0.000027458682,0.0034717994],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994286,0.00007093932,0.000048947222,0.0001045103,0.00031229592,0.000034715067],"domain_scores_gemma":[0.9997732,0.000040908384,0.000028137192,0.000026220296,0.00011854112,0.000012934254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036067909,0.0005756348,0.0005939827,0.0005676486,0.00032507675,0.0007839937,0.00069578725,0.0003997032,0.0016724516],"category_scores_gemma":[0.00038505375,0.00024867972,0.00041222264,0.00037489156,0.000273789,0.00053678214,0.00045906386,0.00045484782,0.00024942317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039680154,0.00016883134,0.0011602729,0.0005666097,0.00019041469,0.00025447202,0.00021189143,0.18636882,0.08081236,0.009632123,0.0019455138,0.7182919],"study_design_scores_gemma":[0.000083928855,0.00033173605,0.0007908862,0.000034540284,0.000070515285,0.0001480299,0.0000287003,0.9772021,0.014006927,0.0012189075,0.0060554915,0.00002825184],"about_ca_topic_score_codex":0.0017912391,"about_ca_topic_score_gemma":0.0018070189,"teacher_disagreement_score":0.0017912391,"about_ca_system_score_codex":0.00026655258,"about_ca_system_score_gemma":0.0003440049,"threshold_uncertainty_score":0.005594909},"labels":[],"label_agreement":null},{"id":"W2790949674","doi":"10.1049/iet-rpg.2017.0575","title":"Towards robust OPF solution strategy for the future AC/DC grids: case of VSC‐HVDC‐connected offshore wind farms","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Etobicoke General Hospital","funders":"","keywords":"Offshore wind power; Wind power; Doubly fed electric machine; Submarine pipeline; Computer science; Marine engineering; Electrical engineering; Control theory (sociology); Engineering; AC power; Voltage; Control (management)","score_opus":0.028573141961942706,"score_gpt":0.25107803945321405,"score_spread":0.22250489749127134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790949674","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017319072,0.00033900546,0.97259164,0.00039632674,0.00003726321,0.00006200324,0.000062327585,0.00007185363,0.00912039],"genre_scores_gemma":[0.87072515,0.00051554985,0.123005785,0.00010281137,0.00006818377,0.00020486105,0.000087854394,0.00005618157,0.0052336003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997421,0.00008695174,0.000011755367,0.00005032491,0.00006688116,0.000042009557],"domain_scores_gemma":[0.99957925,0.00022990876,0.0000652108,0.000020973226,0.00008212298,0.000022562723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009439848,0.0009983535,0.0008262935,0.00042861135,0.0004594224,0.0016090368,0.00083229324,0.0014087283,0.0029321262],"category_scores_gemma":[0.0015764387,0.0003980641,0.000663001,0.00035606232,0.0005883356,0.0006894453,0.0010671538,0.0011589051,0.00029966634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024678922,0.00001246346,0.00013347535,0.000059594386,0.000015329631,0.00014403362,0.000029648843,0.97801423,0.0007465742,0.009998345,0.0005797264,0.010241908],"study_design_scores_gemma":[0.0000038689964,0.000012561603,0.000033972006,0.000005630646,0.0000034356908,0.000014290062,0.0000120316145,0.99769825,0.00014954827,0.0017059081,0.00035821227,0.0000023724551],"about_ca_topic_score_codex":0.004413366,"about_ca_topic_score_gemma":0.002460727,"teacher_disagreement_score":0.004413366,"about_ca_system_score_codex":0.00050060946,"about_ca_system_score_gemma":0.0008169984,"threshold_uncertainty_score":0.009808958},"labels":[],"label_agreement":null},{"id":"W2794343183","doi":"10.1049/iet-rpg.2017.0743","title":"Distribution power factor monitoring in presence of high RES integration using a modified load encroachment technique","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Power factor; Distribution (mathematics); Load distribution; Power (physics); Factor (programming language); Computer science; Reliability engineering; Biological system; Mathematics; Engineering; Structural engineering; Physics; Biology; Mathematical analysis","score_opus":0.02515294043805283,"score_gpt":0.26432748508114856,"score_spread":0.23917454464309573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794343183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26787287,0.00047442838,0.7254402,0.00010330454,0.00007705584,0.00008819402,0.000106519554,0.0018806213,0.003956819],"genre_scores_gemma":[0.9263504,0.00018271411,0.07226501,0.000017638577,0.000021813394,0.000018145178,0.000040653995,0.000024937324,0.0010786921],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960834,0.000075766606,0.000018085819,0.000102904014,0.00017820724,0.000016734753],"domain_scores_gemma":[0.9997098,0.0000756882,0.00008631253,0.00005044307,0.00006676008,0.00001109718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021771104,0.0005133044,0.00033168218,0.0007177807,0.00015413672,0.00036318734,0.0003700411,0.00031913878,0.000602686],"category_scores_gemma":[0.00060469465,0.00013100206,0.00018486052,0.00054139434,0.00019484898,0.0006010151,0.00022941592,0.00027862616,0.00022000163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092580216,0.0001669635,0.00954525,0.0003922402,0.00009732265,0.0007907481,0.0004916103,0.02772508,0.38217753,0.0016223344,0.0010080923,0.575057],"study_design_scores_gemma":[0.000112420465,0.001437851,0.038925372,0.00003607134,0.0001682569,0.0032303766,0.00022994503,0.7078813,0.23628174,0.0014554556,0.01013381,0.00010743524],"about_ca_topic_score_codex":0.0006379958,"about_ca_topic_score_gemma":0.0012394849,"teacher_disagreement_score":0.0007177807,"about_ca_system_score_codex":0.0001999555,"about_ca_system_score_gemma":0.00010258646,"threshold_uncertainty_score":0.0020161867},"labels":[],"label_agreement":null},{"id":"W2796761907","doi":"10.1049/iet-rpg.2017.0736","title":"Power production prediction of wind turbines using a fusion of MLP and ANFIS networks","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Wind power; Adaptive neuro fuzzy inference system; Computer science; Power (physics); Artificial neural network; Fusion; Production (economics); Artificial intelligence; Engineering; Electrical engineering; Fuzzy logic; Fuzzy control system; Physics","score_opus":0.013695250909279597,"score_gpt":0.24460669297055723,"score_spread":0.23091144206127764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796761907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52987957,0.00035861903,0.4651738,0.00027521458,0.000093898794,0.00005911762,0.000391659,0.001070466,0.0026976075],"genre_scores_gemma":[0.9796038,0.00006203937,0.019761788,0.000010143897,0.000011651773,0.000021155573,0.00013288943,0.000008379709,0.00038821448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997489,0.00006265091,0.000025013103,0.000057256326,0.00008339753,0.000022777644],"domain_scores_gemma":[0.9996024,0.00019302926,0.0000714173,0.000033817894,0.00008758537,0.000011858073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006066317,0.0005930954,0.0004589022,0.0004753103,0.0002520574,0.00043329207,0.0003394587,0.00046755638,0.00054067315],"category_scores_gemma":[0.001787285,0.00026534285,0.00039647048,0.00040091365,0.00017154848,0.00058571075,0.00026280124,0.0006160981,0.0001508741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016059213,0.00009723068,0.006713417,0.00005608528,0.000092915936,0.00014597543,0.000063717416,0.8952188,0.0074723205,0.0004092284,0.00043038122,0.08913937],"study_design_scores_gemma":[0.0000019705353,0.000024487332,0.002099462,0.0000031632997,0.0000070433844,0.000009271272,0.000006038354,0.99648786,0.0010885012,0.00018969944,0.00007901502,0.0000035477005],"about_ca_topic_score_codex":0.0050649485,"about_ca_topic_score_gemma":0.00495337,"teacher_disagreement_score":0.0050649485,"about_ca_system_score_codex":0.00033173626,"about_ca_system_score_gemma":0.00025127424,"threshold_uncertainty_score":0.01007092},"labels":[],"label_agreement":null},{"id":"W2802352055","doi":"10.1049/iet-rpg.2017.0313","title":"Power‐current controller based sliding mode control for DFIG‐wind energy conversion system","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Doubly fed electric machine; Control theory (sociology); Wind power; Controller (irrigation); Mode (computer interface); Power control; Current (fluid); Sliding mode control; Power (physics); AC power; Computer science; Engineering; Control (management); Voltage; Physics; Electrical engineering; Nonlinear system","score_opus":0.011202811322753558,"score_gpt":0.21630888931745704,"score_spread":0.20510607799470348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802352055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07787483,0.0009708846,0.906899,0.0001986299,0.0003201224,0.00014474978,0.000058965437,0.0013729325,0.012159884],"genre_scores_gemma":[0.9861734,0.00021457662,0.01096393,0.000037417136,0.000033066954,0.000087471984,0.00004283796,0.0000117001055,0.0024355762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984336,0.000025166863,0.000012714829,0.0000423997,0.000057689882,0.000018575472],"domain_scores_gemma":[0.99987376,0.000031746516,0.000018988629,0.000012675744,0.000055713845,0.000007150474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030744073,0.00056236994,0.00037794746,0.00020621455,0.0003161004,0.0006729352,0.000607255,0.0004551395,0.001543839],"category_scores_gemma":[0.00038267384,0.00015854866,0.00024686096,0.00021012356,0.00036826194,0.00034816918,0.00026816255,0.0005141995,0.00024066283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047597263,0.00022063262,0.0011789347,0.00046855313,0.00011808758,0.0004931722,0.00035347324,0.6397874,0.04543348,0.013257877,0.0044237073,0.29378876],"study_design_scores_gemma":[0.00004768639,0.00025183143,0.0005499809,0.000011013211,0.000017267967,0.00003214417,0.00001342451,0.99285054,0.0035862424,0.0009267622,0.0017040174,0.000008948667],"about_ca_topic_score_codex":0.00265417,"about_ca_topic_score_gemma":0.0017362077,"teacher_disagreement_score":0.00265417,"about_ca_system_score_codex":0.0002571096,"about_ca_system_score_gemma":0.00029962862,"threshold_uncertainty_score":0.0052775145},"labels":[],"label_agreement":null},{"id":"W2810118863","doi":"10.1049/iet-rpg.2018.5163","title":"HVDC grid protection algorithm design in phase and modal domains","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Modal; Computer science; Grid; Algorithm; Mathematics; Materials science; Geometry","score_opus":0.022768425249757154,"score_gpt":0.24509870402892006,"score_spread":0.2223302787791629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810118863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01246605,0.000070227245,0.9849828,0.000043403532,0.000009373576,0.000029400499,0.000010741693,0.00007731799,0.0023106942],"genre_scores_gemma":[0.60084456,0.00025227113,0.39606476,0.000050477614,0.000024070949,0.00014578488,0.000064232794,0.000044929468,0.0025089993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998053,0.00006444315,0.0000106308125,0.000027526308,0.00006932279,0.000022785967],"domain_scores_gemma":[0.99962854,0.00014267013,0.000037335893,0.00002779905,0.0001519172,0.000011746367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041434853,0.00029297566,0.00022716464,0.00028352928,0.00019742132,0.00059925026,0.0003398761,0.00031889547,0.0018989596],"category_scores_gemma":[0.0012887353,0.00014346231,0.0001744766,0.0002063971,0.00021186213,0.0004891898,0.00026975703,0.00038018342,0.00033496032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019232389,0.000071776114,0.0010482728,0.00016481786,0.000021130372,0.00006062848,0.0001543245,0.65285945,0.026803043,0.039305218,0.0017573549,0.2775617],"study_design_scores_gemma":[0.00001514725,0.00005348863,0.0001367838,0.000009005519,0.000003096291,0.000034258388,0.000021995907,0.9925218,0.003422169,0.0025234672,0.0012556973,0.0000030609303],"about_ca_topic_score_codex":0.000868936,"about_ca_topic_score_gemma":0.00080357655,"teacher_disagreement_score":0.0018989596,"about_ca_system_score_codex":0.00034618957,"about_ca_system_score_gemma":0.00047132533,"threshold_uncertainty_score":0.0063527226},"labels":[],"label_agreement":null},{"id":"W2886246186","doi":"10.1049/iet-rpg.2018.5353","title":"Model‐free adaptive learning control scheme for wind turbines with doubly fed induction generators","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Energie NB Power (Canada); University of Ottawa","funders":"","keywords":"Wind power; Induction generator; Scheme (mathematics); Doubly fed electric machine; Control theory (sociology); Computer science; Adaptive control; Control engineering; Control (management); Engineering; Mathematics; AC power; Artificial intelligence; Electrical engineering","score_opus":0.019849088545090373,"score_gpt":0.21028076164714032,"score_spread":0.19043167310204995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886246186","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04606536,0.00042878013,0.9455078,0.0002069005,0.00012984734,0.000075992364,0.00002845906,0.0004903945,0.007066468],"genre_scores_gemma":[0.9850718,0.0001032037,0.012183823,0.000037811868,0.000023077986,0.000075886535,0.000026192214,0.000009758758,0.0024684707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982184,0.000039891864,0.000012551742,0.000042080155,0.000057548463,0.000026120586],"domain_scores_gemma":[0.999775,0.00006947437,0.000058157282,0.00002044088,0.000064415086,0.00001261106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041763636,0.00059913256,0.00053533516,0.00014546006,0.0003264669,0.0006050622,0.0007653583,0.0005912013,0.00144049],"category_scores_gemma":[0.00058576406,0.0002062704,0.00035070744,0.00016820309,0.0004955579,0.0003684465,0.00053011527,0.0007185127,0.00026094713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011118296,0.00006172168,0.0003020169,0.00009710785,0.00003329889,0.00012570465,0.000100412966,0.9398536,0.007828599,0.0076193134,0.00086034107,0.043006625],"study_design_scores_gemma":[0.000010801369,0.000059604856,0.00007494877,0.0000030293002,0.0000042171005,0.000009868384,0.000002327479,0.9987012,0.00039059226,0.00042689845,0.0003136524,0.00000285609],"about_ca_topic_score_codex":0.004317139,"about_ca_topic_score_gemma":0.0037493373,"teacher_disagreement_score":0.004317139,"about_ca_system_score_codex":0.00046964214,"about_ca_system_score_gemma":0.0005229152,"threshold_uncertainty_score":0.0085840225},"labels":[],"label_agreement":null},{"id":"W2887457333","doi":"10.1049/iet-rpg.2018.5392","title":"Load frequency control by de‐loaded wind farm using the optimal fuzzy‐based PID droop controller","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Voltage droop; PID controller; Control theory (sociology); Automatic frequency control; Controller (irrigation); Fuzzy logic; Computer science; Fuzzy control system; Control engineering; Engineering; Control (management); Temperature control; Electrical engineering; Voltage regulator; Telecommunications; Voltage","score_opus":0.012986878642367288,"score_gpt":0.22144614664761253,"score_spread":0.20845926800524525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887457333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12129298,0.00041550418,0.86380976,0.00012101632,0.00014600306,0.00011850805,0.000045973724,0.0007420427,0.0133082615],"genre_scores_gemma":[0.98328096,0.00008452153,0.014767904,0.000023629815,0.000012843363,0.000037639606,0.000022486525,0.000011509368,0.0017584923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988115,0.000017884153,0.000008246265,0.000033271484,0.00004421468,0.000015229296],"domain_scores_gemma":[0.99989593,0.00002423831,0.000023151064,0.00001146486,0.000038351183,0.000006820761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002149285,0.00050326623,0.00035399452,0.00022119631,0.0002481092,0.0007510526,0.0005854138,0.00041577156,0.00084465166],"category_scores_gemma":[0.0004195687,0.00019152169,0.00022884614,0.00015946715,0.00023127237,0.00037151648,0.00022736765,0.00034839695,0.00022700871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028129393,0.00018486225,0.0009890986,0.00019144094,0.00006964114,0.00024350465,0.00012975659,0.85162234,0.034385197,0.0043444596,0.0011599278,0.10639851],"study_design_scores_gemma":[0.000021053775,0.000082190854,0.00027280644,0.0000055833943,0.000011089587,0.000019663541,0.000008339735,0.99627054,0.0023124933,0.00037572216,0.00061479554,0.000005725233],"about_ca_topic_score_codex":0.0026498216,"about_ca_topic_score_gemma":0.0029631262,"teacher_disagreement_score":0.0026498216,"about_ca_system_score_codex":0.00025087685,"about_ca_system_score_gemma":0.00027520038,"threshold_uncertainty_score":0.005268812},"labels":[],"label_agreement":null},{"id":"W2898532498","doi":"10.1049/iet-rpg.2018.5136","title":"Flexibility of controllable power transformers for managing wind uncertainty using robust adjustable linearised optimal power flow","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Etobicoke General Hospital","funders":"","keywords":"Power flow; Wind power; Flexibility (engineering); Control theory (sociology); Transformer; Computer science; Control engineering; Electric power system; Power (physics); Engineering; Electrical engineering; Voltage; Mathematics; Physics; Control (management)","score_opus":0.02435239974870437,"score_gpt":0.24279541440481442,"score_spread":0.21844301465611005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898532498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019748053,0.00016573287,0.9748511,0.00010796441,0.000019495865,0.000057981517,0.000045022753,0.000115553084,0.004889288],"genre_scores_gemma":[0.9273412,0.00020665715,0.0700687,0.00003289508,0.000022452612,0.00014622608,0.00006719382,0.000052164873,0.002062543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996958,0.00014504745,0.000011404296,0.00004289668,0.000071224466,0.000033605094],"domain_scores_gemma":[0.99957615,0.0002815802,0.00006808297,0.000024265708,0.000036863566,0.000013199884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080228236,0.0009772223,0.00066847325,0.0003355839,0.00024212316,0.0010252632,0.0005543879,0.00057999935,0.0019121899],"category_scores_gemma":[0.0015167515,0.00044417454,0.0007032198,0.00039110798,0.00062962476,0.00088652933,0.0007655556,0.0010266731,0.00018680857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022391818,0.00001073906,0.000059266837,0.000022997774,0.000006855173,0.000020009664,0.000014115609,0.9893935,0.0006858773,0.004364357,0.00012681377,0.0052730846],"study_design_scores_gemma":[0.000003762632,0.000011039844,0.000015274249,0.000002223676,0.0000018604436,0.000002649939,0.0000024933338,0.99856573,0.00013414645,0.0011505955,0.000108375796,0.000001779548],"about_ca_topic_score_codex":0.003536795,"about_ca_topic_score_gemma":0.003015176,"teacher_disagreement_score":0.003536795,"about_ca_system_score_codex":0.0005384083,"about_ca_system_score_gemma":0.000646776,"threshold_uncertainty_score":0.0070323944},"labels":[],"label_agreement":null},{"id":"W2905241030","doi":"10.1049/iet-rpg.2018.5635","title":"Interval based robust chance constrained allocation of demand response programs in wind integrated power systems","year":2018,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Power System Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Etobicoke General Hospital","funders":"","keywords":"Demand response; Interval (graph theory); Wind power; Mathematical optimization; Electric power system; Computer science; Operations research; Power (physics); Reliability engineering; Mathematics; Engineering; Electrical engineering","score_opus":0.021562658318523775,"score_gpt":0.21533182182985594,"score_spread":0.19376916351133217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905241030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05357307,0.0005415623,0.93755865,0.00027447738,0.000045610228,0.000071818766,0.00014741272,0.0001602045,0.007627212],"genre_scores_gemma":[0.9732357,0.000291248,0.02335889,0.00004634082,0.00003064712,0.00013141493,0.000083540384,0.000048105285,0.0027740716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992473,0.00033038002,0.000023841276,0.00010526108,0.00015975417,0.0001334567],"domain_scores_gemma":[0.9990858,0.00054923433,0.00018492993,0.000026613521,0.000102244856,0.00005121385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013277808,0.0010481246,0.0010785105,0.00044212845,0.0003397561,0.0015199481,0.0009644777,0.000999238,0.001986994],"category_scores_gemma":[0.0025185954,0.0006198428,0.00069962384,0.0007006697,0.000839818,0.001077167,0.0007391051,0.0009823317,0.00014960085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017449656,0.0000050333815,0.00005090739,0.000010543013,0.000007989666,0.000015823856,0.0000065320305,0.99555296,0.00013331881,0.0029466061,0.00007572264,0.001177105],"study_design_scores_gemma":[0.0000032951768,0.000013451303,0.000039635353,0.0000021686105,0.0000032238977,0.000002795055,0.0000025970296,0.99859244,0.000059575745,0.0012104379,0.00006801026,0.0000023335947],"about_ca_topic_score_codex":0.006956081,"about_ca_topic_score_gemma":0.0038975596,"teacher_disagreement_score":0.006956081,"about_ca_system_score_codex":0.0011423298,"about_ca_system_score_gemma":0.0010164565,"threshold_uncertainty_score":0.013831139},"labels":[],"label_agreement":null},{"id":"W2909575342","doi":"10.1049/iet-rpg.2018.5737","title":"Parallel stochastic programming for energy storage management in smart grid with probabilistic renewable generation and load models","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Renewable energy; Probabilistic logic; Smart grid; Computer science; Grid; Energy storage; Mathematical optimization; Engineering; Electrical engineering; Mathematics; Artificial intelligence","score_opus":0.01425241482644389,"score_gpt":0.19847024113573739,"score_spread":0.1842178263092935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909575342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021252586,0.00027064327,0.9744228,0.00038332574,0.00005117765,0.00006247216,0.00009004754,0.00024911744,0.003217954],"genre_scores_gemma":[0.8600298,0.0005620396,0.1325901,0.00015415755,0.000093997754,0.00027907378,0.0002232092,0.00013083706,0.0059367153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947053,0.0002411393,0.000018816278,0.000073650794,0.0001057372,0.00009021311],"domain_scores_gemma":[0.9991917,0.00055295834,0.00008723601,0.000029430772,0.00009286668,0.000045812154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013286878,0.0010007155,0.0013778487,0.00034018458,0.0004181128,0.0010201072,0.0007870511,0.0007923084,0.0024627997],"category_scores_gemma":[0.0018395967,0.0006896503,0.0009854791,0.00056703377,0.0006202485,0.0008356762,0.00089091074,0.0014739183,0.00023624187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017637713,0.000010005218,0.00007803483,0.000010946973,0.000008567528,0.000014883469,0.000004785271,0.9951213,0.00011442626,0.002458866,0.00014771427,0.0020128319],"study_design_scores_gemma":[0.0000020527498,0.0000026851121,0.000008892366,5.4548553e-7,8.6488177e-7,9.599789e-7,0.000001056805,0.99903667,0.000023056817,0.00088622444,0.000036377252,5.86164e-7],"about_ca_topic_score_codex":0.011465581,"about_ca_topic_score_gemma":0.013146995,"teacher_disagreement_score":0.011465581,"about_ca_system_score_codex":0.0011110462,"about_ca_system_score_gemma":0.0022388797,"threshold_uncertainty_score":0.022797704},"labels":[],"label_agreement":null},{"id":"W2912791683","doi":"10.1049/iet-rpg.2018.5245","title":"Real‐time experimental implementation of an LMS‐adaline‐based ANFIS controller to drive PV interfacing power system","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Adaptive neuro fuzzy inference system; Control theory (sociology); Maximum power point tracking; Photovoltaic system; Controller (irrigation); Computer science; Interfacing; Control engineering; Electric power system; PID controller; Benchmark (surveying); Maximum power principle; Engineering; Power (physics); Voltage; Fuzzy control system; Inverter; Fuzzy logic; Control (management); Artificial intelligence; Electrical engineering; Temperature control; Computer hardware","score_opus":0.010025287420193324,"score_gpt":0.2752657444140658,"score_spread":0.2652404569938725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912791683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83335775,0.00011276575,0.15013297,0.00025680434,0.0002602734,0.0003045311,0.000511649,0.0035804189,0.0114829205],"genre_scores_gemma":[0.9916788,0.000018673025,0.0069373646,0.000014119651,0.000004783972,0.00007091466,0.00007022175,0.000015662827,0.0011894486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999814,0.00003432752,0.00001715629,0.000037649417,0.00007498464,0.000021907892],"domain_scores_gemma":[0.9997273,0.0000859327,0.000031512398,0.000043533622,0.0000907021,0.000021071308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031617878,0.0004050566,0.0002337379,0.00023120844,0.00028057693,0.000335503,0.0005728255,0.0004303612,0.0038698965],"category_scores_gemma":[0.0005636796,0.000119198725,0.0001509777,0.00013530799,0.00027836385,0.00026815795,0.00020737412,0.00052556157,0.00036639287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014125499,0.0010911649,0.0034120393,0.0011189156,0.00011611309,0.0006419671,0.00067525177,0.12187864,0.7271851,0.0018288761,0.0035439187,0.13709542],"study_design_scores_gemma":[0.00024234064,0.0029754532,0.009796229,0.000043264667,0.000046947942,0.00022827367,0.0001622308,0.5749529,0.40470448,0.0005062879,0.0062936065,0.000047929003],"about_ca_topic_score_codex":0.0012902318,"about_ca_topic_score_gemma":0.0015908206,"teacher_disagreement_score":0.0038698965,"about_ca_system_score_codex":0.00024302167,"about_ca_system_score_gemma":0.00019003985,"threshold_uncertainty_score":0.012946069},"labels":[],"label_agreement":null},{"id":"W2913341592","doi":"10.1049/iet-rpg.2018.5232","title":"Wind power plant level testing of inertial response with optimised recovery behaviour","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Power station; Environmental science; Inertial frame of reference; Power (physics); Marine engineering; Automotive engineering; Computer science; Engineering; Electrical engineering; Physics; Thermodynamics","score_opus":0.024661328466876076,"score_gpt":0.20710742719505318,"score_spread":0.1824460987281771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913341592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99221015,0.000041159918,0.0047863647,0.00003582412,0.000013436184,0.00006828196,0.00024394573,0.00025300894,0.002347805],"genre_scores_gemma":[0.9985481,0.000011598408,0.0007062266,0.000009693216,8.4840826e-7,0.000012929473,0.000104685256,0.000012042254,0.0005938484],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999634,0.000045681976,0.000017197528,0.000056136763,0.00015572323,0.00009125131],"domain_scores_gemma":[0.9995472,0.0001281345,0.000047932266,0.000074717675,0.00016624575,0.000035800527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040767764,0.0004580803,0.0003048925,0.0002559288,0.00040694902,0.00039921157,0.00046977584,0.00041650282,0.0018523539],"category_scores_gemma":[0.0010822862,0.00012227248,0.00018932961,0.0002675101,0.0003733862,0.00021367965,0.00020333778,0.0003511757,0.00032533004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022104944,0.0008544603,0.024619166,0.0005553751,0.00013227975,0.0009610662,0.0006317844,0.25622022,0.6434345,0.0005652433,0.0020285468,0.067786716],"study_design_scores_gemma":[0.00030079728,0.008157829,0.21742976,0.000044109976,0.00010755705,0.00031287724,0.0008665999,0.29280332,0.47335607,0.00025414204,0.0062302523,0.00013666372],"about_ca_topic_score_codex":0.05661603,"about_ca_topic_score_gemma":0.10658482,"teacher_disagreement_score":0.05661603,"about_ca_system_score_codex":0.0008637111,"about_ca_system_score_gemma":0.0005866122,"threshold_uncertainty_score":0.11257297},"labels":[],"label_agreement":null},{"id":"W2936939568","doi":"10.1049/iet-rpg.2018.5064","title":"Refined ramp event characterisation for wind power ramp control using energy storage system","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Energy storage; Computer science; Electric power system; Event (particle physics); Automotive engineering; Control (management); Environmental science; Real-time computing; Control theory (sociology); Power (physics); Electrical engineering; Engineering; Physics; Artificial intelligence","score_opus":0.009433316800495223,"score_gpt":0.2005265679102354,"score_spread":0.19109325110974018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936939568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044424184,0.00018881905,0.9516231,0.000046448953,0.00002505623,0.000119697215,0.000111894,0.0005811457,0.0028796385],"genre_scores_gemma":[0.975769,0.000076016724,0.023173692,0.000013090113,0.000008548025,0.000088112174,0.00014414218,0.000036538535,0.0006908328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964035,0.0001015882,0.00003468926,0.00007098515,0.00009459232,0.00005775407],"domain_scores_gemma":[0.9994979,0.000247007,0.000078702054,0.000048492482,0.000109784334,0.000018085891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056502764,0.0011601918,0.0009388618,0.00057223125,0.00025210308,0.00094303687,0.0007058501,0.0005726825,0.0017393494],"category_scores_gemma":[0.0014341801,0.0004044728,0.0009456006,0.00035306613,0.00033571158,0.00081271277,0.00049080426,0.0008550541,0.00020227347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006315949,0.000012834356,0.00036767367,0.00004538027,0.000014132947,0.00005861509,0.000025014615,0.9871251,0.0022778043,0.0008026528,0.00011084813,0.00909677],"study_design_scores_gemma":[0.0000025265497,0.0000148000445,0.0001493905,0.0000022220813,0.000003190975,0.000006538545,0.0000029772843,0.9990876,0.00040014694,0.00023964666,0.00008814316,0.0000029339644],"about_ca_topic_score_codex":0.006366731,"about_ca_topic_score_gemma":0.0037099714,"teacher_disagreement_score":0.006366731,"about_ca_system_score_codex":0.00040663336,"about_ca_system_score_gemma":0.0005639983,"threshold_uncertainty_score":0.012659371},"labels":[],"label_agreement":null},{"id":"W2944670340","doi":"10.1049/iet-rpg.2018.5909","title":"Aggregate reliability analysis of wind turbine generators","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kruger (Canada); Western University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Turbine; Reliability (semiconductor); Reliability engineering; Computer science; Wind power; Aggregate (composite); Environmental science; Engineering; Electrical engineering; Aerospace engineering; Physics; Materials science; Power (physics); Composite material","score_opus":0.00649854734401827,"score_gpt":0.23621352048173178,"score_spread":0.2297149731377135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944670340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93832326,0.0002449559,0.05882207,0.00006906011,0.000009916429,0.000023521587,0.00057843345,0.00014812719,0.0017806914],"genre_scores_gemma":[0.9978582,0.000049800226,0.0013986046,0.000003306966,0.0000062406707,0.000007785409,0.00032187576,0.000005534815,0.00034882783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997106,0.00008599898,0.000021165231,0.000054780026,0.00010428259,0.000023077257],"domain_scores_gemma":[0.9983912,0.00088007766,0.00021301465,0.00016689283,0.00030494205,0.00004386233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006923543,0.00023742147,0.0004020818,0.00089342863,0.00015742231,0.00036658937,0.00022213002,0.000175904,0.00063616637],"category_scores_gemma":[0.0034956348,0.00009492747,0.00027999465,0.00056377205,0.00016775381,0.00040067293,0.00025717262,0.0002679844,0.00012798073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014970919,0.000052963478,0.024776433,0.0000613754,0.00010283446,0.0002883921,0.00013188928,0.9266342,0.006152769,0.0022669034,0.0006996005,0.038682997],"study_design_scores_gemma":[0.0000031453883,0.000096126285,0.020999512,0.0000053056847,0.00001880528,0.000056805176,0.000044582088,0.97576493,0.0010665207,0.001680889,0.00025484595,0.000008584294],"about_ca_topic_score_codex":0.0028409385,"about_ca_topic_score_gemma":0.0027482794,"teacher_disagreement_score":0.0028409385,"about_ca_system_score_codex":0.000308631,"about_ca_system_score_gemma":0.00017769937,"threshold_uncertainty_score":0.005648792},"labels":[],"label_agreement":null},{"id":"W2945317007","doi":"10.1049/iet-rpg.2018.5840","title":"Particle swarm optimisation‐based model and analysis of photovoltaic module characteristics in snowy conditions","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MPB Technologies & Communications (Canada); Carleton University; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Particle swarm optimization; Computer science; Particle (ecology); Simulation; Engineering; Electrical engineering; Algorithm; Geology","score_opus":0.018600675272186985,"score_gpt":0.2539091361675863,"score_spread":0.23530846089539934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945317007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06822551,0.00023924769,0.922479,0.00011755229,0.000048767884,0.000055595436,0.00010494186,0.0001714797,0.008558014],"genre_scores_gemma":[0.9644101,0.0003075332,0.030244682,0.000033773802,0.000025113884,0.00015905299,0.00015687887,0.000039946757,0.004622883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999094,0.00002706616,0.0000041764724,0.000017915798,0.000028753448,0.000012732002],"domain_scores_gemma":[0.99987125,0.000062727464,0.000021343003,0.000009652752,0.000030129504,0.0000048715024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022503581,0.00047904372,0.00053115387,0.00025393284,0.0002441667,0.000574896,0.0004977804,0.00067827647,0.0008678231],"category_scores_gemma":[0.00051706244,0.00029264344,0.00054409733,0.00035536967,0.00034516238,0.0004696052,0.00027573458,0.0004770094,0.00018940851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050547005,0.0000040581353,0.00019260001,0.0000109665725,0.0000069719545,0.000015962143,0.0000116173605,0.9970579,0.00039339662,0.000531353,0.000069240385,0.0017008145],"study_design_scores_gemma":[0.0000011057414,0.0000043341183,0.00011216515,9.877775e-7,0.00000138377,0.0000028397828,0.0000025682718,0.99947184,0.00009695076,0.00021029843,0.000094702555,9.724596e-7],"about_ca_topic_score_codex":0.0063572335,"about_ca_topic_score_gemma":0.0031491288,"teacher_disagreement_score":0.0063572335,"about_ca_system_score_codex":0.0003531636,"about_ca_system_score_gemma":0.0004764139,"threshold_uncertainty_score":0.012640417},"labels":[],"label_agreement":null},{"id":"W2946690697","doi":"10.1049/iet-rpg.2018.5745","title":"Optimal integral minus proportional derivative controller design by evolutionary algorithm for thermal‐renewable energy‐hybrid power systems","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Renewable energy; Control theory (sociology); Derivative (finance); Controller (irrigation); Electric power system; Computer science; Power (physics); Mathematics; Mathematical optimization; Algorithm; Engineering; Control (management); Physics; Electrical engineering; Thermodynamics; Artificial intelligence","score_opus":0.010061753482752851,"score_gpt":0.1980214198832071,"score_spread":0.18795966640045425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946690697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04315527,0.0006481961,0.94719636,0.00014587506,0.00005641411,0.00010126485,0.000022299331,0.000201526,0.0084727965],"genre_scores_gemma":[0.92497903,0.00027040028,0.071343146,0.00006544411,0.000021710652,0.00024518583,0.000034278346,0.00002004203,0.0030206873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997938,0.000059199665,0.000009844016,0.00004125966,0.00006411427,0.000031737956],"domain_scores_gemma":[0.9997453,0.00013630092,0.000033557022,0.000011003842,0.00006366777,0.000010155657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699625,0.0006242409,0.0006779572,0.00035955012,0.00026768385,0.0010892842,0.0005576961,0.0008095395,0.0014793215],"category_scores_gemma":[0.0009243213,0.00037808603,0.0003852004,0.00035339582,0.00041180686,0.0003129689,0.0005401444,0.0005522352,0.00017625776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004154298,0.000033649078,0.0001985588,0.00006420872,0.000027834518,0.000043070508,0.000032035074,0.9698762,0.0021145933,0.0023620664,0.00023979308,0.024966454],"study_design_scores_gemma":[0.000009432671,0.000030974374,0.00004451501,0.0000030235526,0.0000038583266,0.0000047637345,0.0000035710004,0.99927527,0.00019987226,0.00027035238,0.00015262445,0.000001737148],"about_ca_topic_score_codex":0.0032932095,"about_ca_topic_score_gemma":0.00258819,"teacher_disagreement_score":0.0032932095,"about_ca_system_score_codex":0.00042914835,"about_ca_system_score_gemma":0.00069556513,"threshold_uncertainty_score":0.0065481067},"labels":[],"label_agreement":null},{"id":"W2954141803","doi":"10.1049/iet-rpg.2018.5053","title":"Crowded plant height optimisation algorithm tuned maximum power point tracking for grid integrated solar power conditioning system","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Maximum power point tracking; Tracking (education); Grid; Computer science; Photovoltaic system; Power grid; Maximum power principle; Power (physics); Point (geometry); Algorithm; Control theory (sociology); Electrical engineering; Engineering; Mathematics; Physics; Artificial intelligence; Voltage","score_opus":0.01390201733929369,"score_gpt":0.22655857083976658,"score_spread":0.21265655350047288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954141803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098009445,0.00022101069,0.89145637,0.000093279225,0.000034754663,0.00008453018,0.000036488284,0.0006814234,0.009382708],"genre_scores_gemma":[0.9584183,0.000043498014,0.039454658,0.000024976734,0.00000639262,0.000057519206,0.000025049945,0.000017079223,0.0019526173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999058,0.000014705266,0.000004587164,0.000020190819,0.000039890572,0.000014837557],"domain_scores_gemma":[0.9998901,0.00004071831,0.000021613208,0.000007352388,0.000033246943,0.000006953192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021626118,0.0003019696,0.00035229986,0.00020829977,0.00028509306,0.0004060587,0.00034085542,0.00036841223,0.0014166826],"category_scores_gemma":[0.0003145645,0.00015187814,0.00020259309,0.00018735905,0.00018606869,0.0001953328,0.0003009992,0.00032147518,0.00017075519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011077807,0.000057771984,0.0008731978,0.000077892015,0.000025955203,0.00007208232,0.000102283,0.90509856,0.017783174,0.0015346056,0.0007706924,0.07349299],"study_design_scores_gemma":[0.000008535166,0.000037443442,0.00029547792,0.0000034288294,0.000003891844,0.000010486955,0.000007218482,0.99721485,0.0018272151,0.00022424302,0.0003642965,0.0000028330567],"about_ca_topic_score_codex":0.0027548675,"about_ca_topic_score_gemma":0.0032131302,"teacher_disagreement_score":0.0027548675,"about_ca_system_score_codex":0.00032239562,"about_ca_system_score_gemma":0.00031936186,"threshold_uncertainty_score":0.005477667},"labels":[],"label_agreement":null},{"id":"W2968465413","doi":"10.1049/iet-rpg.2019.0093","title":"Ramp events forecasting based on long‐term wind power prediction and correction","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Term (time); Wind power; Wind power forecasting; Meteorology; Computer science; Environmental science; Power (physics); Electric power system; Engineering; Electrical engineering; Physics","score_opus":0.012884631389232133,"score_gpt":0.1984815435725338,"score_spread":0.18559691218330168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968465413","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25208455,0.00063469744,0.74057007,0.00019524503,0.00022670972,0.000078393256,0.00076828356,0.0022786635,0.0031633165],"genre_scores_gemma":[0.97389156,0.00020133267,0.024461433,0.000015459154,0.000042925927,0.000016363945,0.00071182376,0.00002103801,0.0006380595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997682,0.000022496657,0.000022228436,0.00008237155,0.00007247315,0.000032140204],"domain_scores_gemma":[0.9995592,0.00010913226,0.00008417203,0.00006773217,0.00015074981,0.00002905888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037375232,0.00068136136,0.00054889556,0.0007119336,0.00023308895,0.00054683833,0.0007201954,0.0003366356,0.0007745174],"category_scores_gemma":[0.0012552411,0.0001798043,0.00043342178,0.0007892659,0.00013307239,0.00094049476,0.0003795311,0.0007982582,0.00030672198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002973084,0.00018524633,0.03133992,0.00013710643,0.00010395293,0.0004733107,0.00007700045,0.63954693,0.009157452,0.0019019546,0.0030010021,0.31377888],"study_design_scores_gemma":[0.000002105597,0.000020345062,0.002855627,0.000004188447,0.000007864565,0.00002605801,0.000008255871,0.995469,0.001057741,0.00030317798,0.0002404521,0.000005190056],"about_ca_topic_score_codex":0.004590812,"about_ca_topic_score_gemma":0.0051134354,"teacher_disagreement_score":0.004590812,"about_ca_system_score_codex":0.00018329351,"about_ca_system_score_gemma":0.00031661103,"threshold_uncertainty_score":0.009128153},"labels":[],"label_agreement":null},{"id":"W2969963975","doi":"10.1049/iet-rpg.2018.5859","title":"Hourly electricity and heat Demand Response in the OEF of the integrated electricity‐heat‐natural gas system","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Etobicoke General Hospital","funders":"","keywords":"Electricity; Demand response; Electricity demand; Natural gas; Environmental science; Electricity generation; Engineering; Waste management; Electrical engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.004115623842840679,"score_gpt":0.17825996344991454,"score_spread":0.17414433960707387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969963975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7920452,0.00037440812,0.1963381,0.00038423188,0.0000577941,0.00006983556,0.0002913061,0.00011777521,0.010321441],"genre_scores_gemma":[0.9951881,0.00003653307,0.0039924653,0.000009702796,0.0000038954004,0.000012859168,0.000043080647,0.000008391787,0.0007049479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998635,0.000050240145,0.0000039653632,0.000028442018,0.0000198463,0.00003400644],"domain_scores_gemma":[0.9998241,0.00011429623,0.000022255113,0.000006010173,0.00002020055,0.000013206143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003501352,0.00036203637,0.00043195605,0.00022794437,0.00026284333,0.00060022133,0.00034643174,0.00064051716,0.0013627231],"category_scores_gemma":[0.00093721465,0.00019367908,0.0003509637,0.00028650806,0.0002796673,0.00044734852,0.00034771473,0.0004634048,0.00006140974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039709445,0.000013152418,0.0009394117,0.000015693164,0.00001109382,0.000060369544,0.000012088069,0.9945486,0.0004751089,0.0009893979,0.00014964993,0.0027456842],"study_design_scores_gemma":[0.000004444374,0.000008797529,0.0006785618,0.0000010809741,0.0000028824109,0.0000079260135,0.000014192405,0.9986926,0.00011143407,0.00038719331,0.00008850717,0.000002419138],"about_ca_topic_score_codex":0.012501685,"about_ca_topic_score_gemma":0.00739188,"teacher_disagreement_score":0.012501685,"about_ca_system_score_codex":0.00046919315,"about_ca_system_score_gemma":0.00040961258,"threshold_uncertainty_score":0.02485782},"labels":[],"label_agreement":null},{"id":"W2979426993","doi":"10.1049/iet-rpg.2019.0583","title":"Optimal scheduling of bidirectional energy conversion units in energy and ancillary service markets for system restoration within MCESs","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Scheduling (production processes); Computer science; Energy (signal processing); Operations research; Distributed computing; Mathematical optimization; Engineering; Physics; Mathematics","score_opus":0.011775429246855937,"score_gpt":0.18988286088962614,"score_spread":0.1781074316427702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979426993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16880774,0.00046123666,0.8086925,0.00060323585,0.00012235287,0.00019596363,0.0002093244,0.00016307486,0.02074459],"genre_scores_gemma":[0.97573507,0.00017874497,0.018990062,0.000038233655,0.000015702017,0.000084879044,0.000045912864,0.000028517761,0.0048829243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996327,0.00015207655,0.000009163626,0.000056477027,0.00006118812,0.00008837329],"domain_scores_gemma":[0.9995765,0.00020823503,0.0000809037,0.000017543704,0.00005909712,0.00005765815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009539766,0.00073899596,0.0009149196,0.0003551475,0.00056107674,0.0015144857,0.00083173584,0.0009983074,0.0031153685],"category_scores_gemma":[0.0016623574,0.00046318027,0.0006419148,0.0004530572,0.00081328524,0.0012169223,0.0008078057,0.001123207,0.00019017435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025848418,0.000012269144,0.00011516855,0.000010313589,0.000004549443,0.000028827635,0.000010720346,0.9906465,0.00028050714,0.0072809,0.0001844915,0.0013999854],"study_design_scores_gemma":[0.0000034436198,0.000007937101,0.000028684071,0.0000013486593,0.0000016893792,0.000002592543,0.0000067198007,0.998618,0.00007122697,0.0011447042,0.0001119876,0.0000015846355],"about_ca_topic_score_codex":0.013363306,"about_ca_topic_score_gemma":0.012388217,"teacher_disagreement_score":0.013363306,"about_ca_system_score_codex":0.0018072915,"about_ca_system_score_gemma":0.002074094,"threshold_uncertainty_score":0.026571035},"labels":[],"label_agreement":null},{"id":"W2980156932","doi":"10.1049/iet-rpg.2019.0345","title":"Stochastic PV model for power system planning applications","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Stochastic modelling; Photovoltaic system; Electric power system; Power (physics); Engineering; Electrical engineering; Mathematics; Physics; Statistics","score_opus":0.015036749008502161,"score_gpt":0.21745413008702238,"score_spread":0.20241738107852023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980156932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060832105,0.00038435304,0.9765461,0.00031008114,0.0001103509,0.000066462046,0.0008902748,0.00060512853,0.015004022],"genre_scores_gemma":[0.8148428,0.0019329233,0.14867233,0.00025109982,0.00023661397,0.00062939717,0.0027311128,0.00037223106,0.03033144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997118,0.000102686434,0.000013192149,0.000039745308,0.00010765736,0.000024903307],"domain_scores_gemma":[0.9994584,0.0002878257,0.0000707509,0.00004624245,0.000120499964,0.000016292057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042409997,0.0006158037,0.0006273369,0.0002723088,0.00023273852,0.00079372077,0.0010103071,0.00078092807,0.007940623],"category_scores_gemma":[0.0017028222,0.0003218631,0.00065680494,0.00093370024,0.00023867573,0.0005535748,0.0004709173,0.0012502255,0.0015623419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009077367,0.0000054576326,0.00012553608,0.00002265025,0.000006324194,0.000028224658,0.0000058708074,0.98758894,0.00020878324,0.006827509,0.0010157598,0.0041558864],"study_design_scores_gemma":[0.0000025887834,0.0000055541495,0.000055694174,0.000003672301,0.000001918824,0.000010080185,0.0000024669928,0.99437237,0.00007486184,0.0039164755,0.0015518001,0.000002442953],"about_ca_topic_score_codex":0.008391032,"about_ca_topic_score_gemma":0.00689265,"teacher_disagreement_score":0.008391032,"about_ca_system_score_codex":0.0004611555,"about_ca_system_score_gemma":0.0007915839,"threshold_uncertainty_score":0.026564002},"labels":[],"label_agreement":null},{"id":"W2986362432","doi":"10.1049/iet-rpg.2019.0663","title":"Increasing operational flexibility of integrated energy systems by introducing power to hydrogen","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"State Grid Jiangsu Electric Power","keywords":"Flexibility (engineering); Power to gas; Hydrogen fuel; Computer science; Electric power system; Process engineering; Energy (signal processing); Hydrogen; Power (physics); Systems engineering; Environmental science; Engineering; Chemistry; Physics; Thermodynamics; Mathematics","score_opus":0.010470745045043875,"score_gpt":0.2258492676392018,"score_spread":0.2153785225941579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986362432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5930313,0.0009601541,0.3671145,0.00033630268,0.00006958335,0.00012345753,0.0003166764,0.0005978335,0.03745016],"genre_scores_gemma":[0.9920942,0.000122113,0.006559068,0.000012331905,0.0000051267693,0.0000261614,0.00003794859,0.000010402803,0.0011326687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996499,0.000118061245,0.00001768975,0.00006365988,0.000081811246,0.000068899855],"domain_scores_gemma":[0.9997433,0.00013001038,0.00005070144,0.000033511573,0.000023339117,0.000019185953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005300195,0.00066746963,0.0003839369,0.0003135716,0.00027536837,0.0014117184,0.00074117316,0.00048564558,0.0029562705],"category_scores_gemma":[0.00068740355,0.00032084808,0.00076277205,0.00047954032,0.00047128825,0.0009104168,0.00092599215,0.00060571625,0.00022982268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016461538,0.000069862195,0.0009192692,0.000110931156,0.000069318776,0.00018169031,0.0000598842,0.9639026,0.008586213,0.0059424555,0.00020056676,0.019792609],"study_design_scores_gemma":[0.000046678284,0.00031407774,0.0014386688,0.000032088243,0.0000542914,0.00008326638,0.000091104645,0.98696357,0.0038807516,0.005229393,0.0018425077,0.000023598328],"about_ca_topic_score_codex":0.0025200574,"about_ca_topic_score_gemma":0.003250677,"teacher_disagreement_score":0.0029562705,"about_ca_system_score_codex":0.00056784664,"about_ca_system_score_gemma":0.00042157088,"threshold_uncertainty_score":0.009889722},"labels":[],"label_agreement":null},{"id":"W2987524318","doi":"10.1049/iet-rpg.2019.0297","title":"Real‐time energy management in a microgrid with renewable generation, energy storages, flexible loads and combined heat and power units using Lyapunov optimisation","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Microgrid; Lyapunov optimization; Renewable energy; Computer science; Energy management; Mathematical optimization; Scheduling (production processes); Energy storage; Control theory (sociology); Reliability engineering; Power (physics); Engineering; Energy (signal processing); Electrical engineering; Lyapunov equation; Mathematics","score_opus":0.007676465806295964,"score_gpt":0.18202361094748262,"score_spread":0.17434714514118665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987524318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16182753,0.00062521,0.8272182,0.00029258005,0.00005635248,0.000086544664,0.00004440732,0.00025089385,0.009598281],"genre_scores_gemma":[0.98717016,0.00012406649,0.010888606,0.000019384677,0.00000804838,0.00004725286,0.00001497476,0.000011152287,0.0017164049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998323,0.00006752176,0.000008215768,0.000031418655,0.000032410764,0.00002806039],"domain_scores_gemma":[0.9998074,0.00008399067,0.00004499407,0.00001069183,0.00003717809,0.000015681118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045991575,0.00067168864,0.0004546183,0.00019183126,0.0002784865,0.0008837833,0.00042885673,0.0004160431,0.0007230169],"category_scores_gemma":[0.0006458536,0.00023761262,0.00042501342,0.00021588519,0.00038567826,0.00042733215,0.00062830956,0.00039452032,0.00011997346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028573399,0.000012921929,0.00022708524,0.000031753476,0.000019912592,0.000062681924,0.000026590396,0.9908179,0.0017055337,0.0020935023,0.000103070015,0.004870622],"study_design_scores_gemma":[0.0000034633983,0.000024015542,0.000050577633,0.0000019200756,0.000002858232,0.0000041839994,0.0000063362586,0.9991679,0.00017215272,0.00046666097,0.00009815676,0.0000017511655],"about_ca_topic_score_codex":0.003922369,"about_ca_topic_score_gemma":0.003265751,"teacher_disagreement_score":0.003922369,"about_ca_system_score_codex":0.000478739,"about_ca_system_score_gemma":0.00076321705,"threshold_uncertainty_score":0.007799089},"labels":[],"label_agreement":null},{"id":"W2990884569","doi":"10.1049/iet-rpg.2019.0472","title":"Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Control reconfiguration; Distributed generation; Computer science; Energy (signal processing); Distribution (mathematics); Decision theory; Energy management; Distributed computing; Operations research; Mathematical optimization; Microeconomics; Engineering; Mathematics; Economics; Electrical engineering; Renewable energy; Embedded system","score_opus":0.009491688189778911,"score_gpt":0.19965321428992755,"score_spread":0.19016152610014864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990884569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038132202,0.00062424684,0.9500188,0.00057607127,0.000062296014,0.000071275696,0.000054058,0.00008040942,0.0103806555],"genre_scores_gemma":[0.9797538,0.00040971822,0.017419884,0.000091449365,0.00004692336,0.00009710117,0.00003115395,0.000017088907,0.0021328577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991441,0.0003720269,0.000028474838,0.00012391384,0.00019078898,0.00014069669],"domain_scores_gemma":[0.99889106,0.0007127099,0.00017027961,0.000028395989,0.00013467592,0.000062863495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014153428,0.0011620788,0.0014559972,0.00074583455,0.00046158629,0.0020040495,0.0009771219,0.0013136031,0.0017876166],"category_scores_gemma":[0.0020909829,0.00053567585,0.00095409644,0.00051740976,0.0010145449,0.0013828019,0.0013527238,0.0012408841,0.00013354131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026643027,0.000019668882,0.00017047365,0.000034392204,0.000033838307,0.00009044683,0.00003128243,0.9817594,0.0003157076,0.0134921,0.00017713832,0.0038487809],"study_design_scores_gemma":[0.0000044625767,0.000023908095,0.000051484716,0.000005766254,0.000009474099,0.000009588017,0.000012087837,0.99577856,0.000083365594,0.0038872636,0.0001296281,0.0000044181643],"about_ca_topic_score_codex":0.0045664995,"about_ca_topic_score_gemma":0.0022849448,"teacher_disagreement_score":0.0045664995,"about_ca_system_score_codex":0.0014052584,"about_ca_system_score_gemma":0.0013957735,"threshold_uncertainty_score":0.010195851},"labels":[],"label_agreement":null},{"id":"W2996165145","doi":"10.1049/iet-rpg.2019.0370","title":"Fault detection and location in medium‐voltage DC microgrids using travelling‐wave reflections","year":2019,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto; Natural Resources Canada","funders":"","keywords":"Traveling wave; Voltage; Fault detection and isolation; Electrical engineering; Fault (geology); Computer science; Electronic engineering; Engineering; Geology; Seismology; Mathematics","score_opus":0.021931546640026823,"score_gpt":0.24645818203908496,"score_spread":0.22452663539905812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996165145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.445886,0.00042491138,0.5489109,0.00008468535,0.000058029196,0.00007175634,0.00006957722,0.0013514285,0.003142678],"genre_scores_gemma":[0.95097643,0.00013389534,0.047875997,0.0000129773525,0.0000108557315,0.0000138091955,0.000041884734,0.00001572515,0.00091837917],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998609,0.000026193202,0.0000093391345,0.000030609932,0.000056573484,0.000016432166],"domain_scores_gemma":[0.9996592,0.000070979855,0.000102464255,0.000055924967,0.00009688907,0.000014493353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015089654,0.00049133884,0.00031388356,0.00056229066,0.00019022678,0.00034953654,0.0005029802,0.0002791404,0.00055906875],"category_scores_gemma":[0.0005735696,0.00013636179,0.0002753513,0.00037820754,0.0001879325,0.0005105698,0.00030655914,0.00029741865,0.00028731226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010082589,0.0001130215,0.008256572,0.00031264205,0.0001071558,0.0004961627,0.000354025,0.036688883,0.32518268,0.0013288648,0.0008126048,0.6253391],"study_design_scores_gemma":[0.00007195115,0.0010884269,0.012148806,0.00005587798,0.00014377123,0.0011633345,0.0004126251,0.64074266,0.33975843,0.0012854361,0.003064744,0.00006396387],"about_ca_topic_score_codex":0.00103822,"about_ca_topic_score_gemma":0.0017519639,"teacher_disagreement_score":0.00103822,"about_ca_system_score_codex":0.00023471384,"about_ca_system_score_gemma":0.00020756878,"threshold_uncertainty_score":0.0020642877},"labels":[],"label_agreement":null},{"id":"W2998739879","doi":"10.1049/iet-rpg.2019.0513","title":"Harmonic circulation and DC voltage instability mechanism of parallel‐SVG system","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Department of Science and Technology of Jilin Province","keywords":"Scalable Vector Graphics; Mechanism (biology); Harmonic; Instability; Circulation (fluid dynamics); Voltage; Control theory (sociology); Computer science; Physics; Electrical engineering; Mechanics; Engineering; Acoustics","score_opus":0.013127314994255939,"score_gpt":0.18249121419504016,"score_spread":0.16936389920078423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998739879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8155561,0.00047330826,0.16859071,0.00020936693,0.00005151845,0.000069099384,0.00006219185,0.0005265547,0.014461052],"genre_scores_gemma":[0.9985876,0.00004323762,0.0008013452,0.00000518452,0.0000051297457,0.0000046262676,0.000007193567,0.000003457883,0.0005422372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999213,0.000013141929,0.0000041270887,0.00001800616,0.000031148873,0.000012239512],"domain_scores_gemma":[0.99991524,0.000024610952,0.000024784613,0.000006900624,0.00002248092,0.0000059688264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010026287,0.00031908008,0.0002979363,0.00031190432,0.00039886805,0.00037513647,0.00029522498,0.00026705113,0.0010321563],"category_scores_gemma":[0.00023070701,0.000115448755,0.00018505329,0.0001960854,0.0003600878,0.00030276956,0.00022921804,0.0002199821,0.000096626565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087490847,0.00019254678,0.019701067,0.00056514685,0.0001970877,0.0047150673,0.0010909996,0.556482,0.28287092,0.031812124,0.0020947391,0.09940335],"study_design_scores_gemma":[0.000027803137,0.00016268197,0.005312672,0.000010060548,0.000041912797,0.00041224316,0.000120328696,0.97828805,0.011454421,0.0032124887,0.0009414354,0.000015995412],"about_ca_topic_score_codex":0.0026303602,"about_ca_topic_score_gemma":0.0014128583,"teacher_disagreement_score":0.0026303602,"about_ca_system_score_codex":0.00030242885,"about_ca_system_score_gemma":0.00018058417,"threshold_uncertainty_score":0.005230069},"labels":[],"label_agreement":null},{"id":"W3001725623","doi":"10.1049/iet-rpg.2019.0992","title":"Stochastic constrained linear quadratic control in a network of smart microgrids","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Quadratic equation; Mathematical optimization; Control theory (sociology); Computer science; Control (management); Mathematics; Artificial intelligence","score_opus":0.012668382767124101,"score_gpt":0.1975813522681203,"score_spread":0.1849129695009962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001725623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08874064,0.00048352507,0.9000123,0.00073918054,0.00010802917,0.00007642253,0.0001442838,0.00030638097,0.009389281],"genre_scores_gemma":[0.98580533,0.00016206173,0.010196129,0.000078180485,0.000029360046,0.000087706336,0.000066614935,0.000020806963,0.0035536806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907684,0.00033914467,0.000032054086,0.0002361606,0.00017093286,0.00014492434],"domain_scores_gemma":[0.99878174,0.0006793913,0.00020854306,0.00004115199,0.0002261504,0.00006306172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013472185,0.00094713434,0.0010512794,0.0003071984,0.00038571906,0.0012830384,0.00085690117,0.0009732145,0.0015111918],"category_scores_gemma":[0.0021407625,0.00046670123,0.0005477241,0.0005189929,0.0012419885,0.0006260172,0.001233775,0.00094844104,0.00014335402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030996176,0.000010807091,0.00011752055,0.000023614448,0.000014244995,0.00003576021,0.000020592253,0.9930306,0.00034588858,0.004281176,0.00017192097,0.0019168645],"study_design_scores_gemma":[0.000006876318,0.000015502274,0.000051942734,0.0000013612884,0.000002504736,0.0000021949504,0.000004707352,0.9987564,0.000041214258,0.0010261653,0.00008948661,0.0000017777369],"about_ca_topic_score_codex":0.02243654,"about_ca_topic_score_gemma":0.012821154,"teacher_disagreement_score":0.02243654,"about_ca_system_score_codex":0.0012633831,"about_ca_system_score_gemma":0.0014273055,"threshold_uncertainty_score":0.04461187},"labels":[],"label_agreement":null},{"id":"W3021677206","doi":"10.1049/iet-rpg.2019.0606","title":"Co‐designed Incentives for an Aimed Renewable Energy Contribution and Volunteer Load Shedding","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Load Shedding; Incentive; Renewable energy; Volunteer; Environmental economics; Business; Computer science; Engineering; Electrical engineering; Economics; Microeconomics; Electric power system; Physics; Power (physics)","score_opus":0.016560812146690803,"score_gpt":0.22736333869851838,"score_spread":0.21080252655182757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021677206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5020688,0.00019637898,0.460051,0.0010021495,0.00033691485,0.001197405,0.00040332394,0.001028399,0.033715587],"genre_scores_gemma":[0.9769982,0.000026037294,0.020312127,0.000039536753,0.000019782738,0.00014330514,0.00005280128,0.000026373928,0.0023819122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988483,0.00047036927,0.000060950963,0.0001756075,0.00027351803,0.00017120599],"domain_scores_gemma":[0.9963475,0.0016726671,0.00048682519,0.0005402948,0.00066109415,0.00029160315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002436807,0.0005719793,0.00057959766,0.0004089838,0.00044859663,0.0010469237,0.0010253052,0.0010169094,0.0061275153],"category_scores_gemma":[0.006411721,0.00026775303,0.0003447947,0.00044607293,0.00048907305,0.0013581571,0.0011753567,0.0009749811,0.0006982021],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033335176,0.0024004886,0.015767267,0.00070365565,0.00017621713,0.0008849898,0.00065073476,0.6287329,0.05137286,0.09848357,0.0068181553,0.19067568],"study_design_scores_gemma":[0.00032737703,0.0010776303,0.006639765,0.00006399606,0.00006922522,0.00024226491,0.00029549433,0.9431715,0.013177991,0.022842633,0.012025755,0.00006628677],"about_ca_topic_score_codex":0.00087840436,"about_ca_topic_score_gemma":0.0012015764,"teacher_disagreement_score":0.0061275153,"about_ca_system_score_codex":0.0007036619,"about_ca_system_score_gemma":0.0012697205,"threshold_uncertainty_score":0.020498574},"labels":[],"label_agreement":null},{"id":"W3023271174","doi":"10.1049/iet-rpg.2020.0172","title":"Bacteria foraging optimisation algorithm based optimal control for doubly‐fed induction generator wind energy system","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Induction generator; Foraging; Wind power; Control theory (sociology); Doubly fed electric machine; Generator (circuit theory); Computer science; Control (management); Engineering; Biology; Physics; Ecology; Artificial intelligence; AC power; Electrical engineering; Power (physics)","score_opus":0.014751393144951894,"score_gpt":0.19721368796829558,"score_spread":0.1824622948233437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023271174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065883674,0.0009224886,0.9232382,0.00017642493,0.00009308031,0.000101371465,0.000019878948,0.00027116566,0.009293666],"genre_scores_gemma":[0.9149174,0.00032244346,0.08174699,0.000060881794,0.000021519674,0.00024053328,0.00003599498,0.000031000156,0.0026232824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999752,0.000088198845,0.000011562641,0.000034234447,0.000088441346,0.000025532927],"domain_scores_gemma":[0.9997203,0.00015725194,0.00004531634,0.000009741538,0.000059589704,0.000007835089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005862254,0.00076385005,0.0006161838,0.00033733656,0.00032626186,0.0005950173,0.00047363306,0.0007387435,0.0007513118],"category_scores_gemma":[0.0010824543,0.00030202142,0.00036945753,0.00026891349,0.00056787423,0.00030125128,0.00032753684,0.0005271572,0.00013730986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042765307,0.000022771039,0.00022048244,0.000056768185,0.000025974214,0.00003530812,0.00004163147,0.9783347,0.0027158316,0.001825216,0.00021133496,0.016467232],"study_design_scores_gemma":[0.000010585799,0.00003333119,0.0001038582,0.0000048132893,0.000003859374,0.0000051928505,0.000004215324,0.99903,0.00030612174,0.0002807923,0.00021485548,0.000002467906],"about_ca_topic_score_codex":0.004373545,"about_ca_topic_score_gemma":0.0028878162,"teacher_disagreement_score":0.004373545,"about_ca_system_score_codex":0.00046558952,"about_ca_system_score_gemma":0.0006579737,"threshold_uncertainty_score":0.008696198},"labels":[],"label_agreement":null},{"id":"W3036163467","doi":"10.1049/iet-rpg.2019.1127","title":"Robust optimisation framework for SCED problem in mixed AC‐HVDC power systems with wind uncertainty","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Power System Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric power system; Wind power; Computer science; Mathematical optimization; Power system simulation; Power (physics); Operations research; Control theory (sociology); Reliability engineering; Electrical engineering; Engineering; Mathematics; Artificial intelligence; Physics","score_opus":0.025973835670583242,"score_gpt":0.20937779849932328,"score_spread":0.18340396282874005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036163467","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008895901,0.00071137253,0.98032504,0.00032521985,0.00005545204,0.000057846446,0.00011261904,0.000092427166,0.009424065],"genre_scores_gemma":[0.8808595,0.0012867154,0.10746564,0.0002067509,0.00013677982,0.00042421315,0.00033353508,0.00013238809,0.009154518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940705,0.00025713208,0.000022657692,0.00009847075,0.0001353751,0.00007940415],"domain_scores_gemma":[0.99936897,0.00038746075,0.0000898431,0.000022862245,0.00009964395,0.000031310017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013350854,0.0014448584,0.0012843834,0.00062467955,0.000315045,0.0015311736,0.0010221058,0.0013149707,0.003013174],"category_scores_gemma":[0.001869099,0.0005720791,0.0011373303,0.00070722,0.0008506115,0.0007709372,0.0013598521,0.0015044751,0.000295855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010087354,0.0000065583354,0.00006254962,0.000036129408,0.000016791562,0.00003138187,0.000009277605,0.9912048,0.00018129787,0.006260545,0.00021411612,0.0019665132],"study_design_scores_gemma":[0.000004211315,0.000010058418,0.000031308922,0.000004509923,0.0000030255908,0.000004059289,0.000004169514,0.99790937,0.000039587478,0.001759467,0.00022803103,0.0000021267542],"about_ca_topic_score_codex":0.008268938,"about_ca_topic_score_gemma":0.0044376925,"teacher_disagreement_score":0.008268938,"about_ca_system_score_codex":0.00092993764,"about_ca_system_score_gemma":0.0015247065,"threshold_uncertainty_score":0.016441643},"labels":[],"label_agreement":null},{"id":"W3036710158","doi":"10.1049/iet-rpg.2019.1472","title":"Impact of resources distribution on high‐frequency behaviour of photovoltaic systems","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Grid; Photovoltaic system; Power (physics); Distribution (mathematics); Stability (learning theory); Electrical impedance; Control theory (sociology); Distribution grid; Distributed generation; Computer science; Electronic engineering; Engineering; Electrical engineering; Mathematics; Control (management); Physics; Renewable energy","score_opus":0.010163524254982997,"score_gpt":0.2035921967059269,"score_spread":0.19342867245094392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036710158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.858334,0.0005841843,0.11789281,0.0003309276,0.000039598952,0.00003278851,0.00014813349,0.00019665566,0.022440964],"genre_scores_gemma":[0.9991084,0.00005774134,0.0004496761,0.000005710269,0.0000024206045,0.0000028950267,0.000009518652,0.000009831115,0.00035384795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997093,0.000106857005,0.000009891157,0.00004378323,0.00008396098,0.000046154477],"domain_scores_gemma":[0.99914646,0.00053682877,0.0001331219,0.00006132312,0.00009611592,0.000026052558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032761678,0.00036451587,0.000278371,0.00025254933,0.00034394782,0.0007575585,0.00035642096,0.000502122,0.0018393042],"category_scores_gemma":[0.0019828482,0.0001605253,0.00028965282,0.00032569686,0.0004499871,0.00087914953,0.00044674444,0.00039759517,0.00023035951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015139196,0.000053744796,0.0070597003,0.000084908614,0.000059035836,0.0007465944,0.00013403608,0.9569578,0.013671426,0.005216278,0.00027939674,0.015585691],"study_design_scores_gemma":[0.000018599265,0.00013323218,0.012349857,0.000019311019,0.00003253957,0.0002956872,0.00023196141,0.9764131,0.005131508,0.0042868876,0.0010713397,0.000015924203],"about_ca_topic_score_codex":0.0032242597,"about_ca_topic_score_gemma":0.0020943736,"teacher_disagreement_score":0.0032242597,"about_ca_system_score_codex":0.0005160939,"about_ca_system_score_gemma":0.00019185687,"threshold_uncertainty_score":0.0064109564},"labels":[],"label_agreement":null},{"id":"W3088729466","doi":"10.1049/iet-rpg.2019.1196","title":"Load pattern‐based voltage stability analysis in unbalanced distribution networks considering maximum penetration level of distributed generation","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Distributed generation; Penetration (warfare); Voltage; Control theory (sociology); Computer science; Stability (learning theory); Materials science; Mathematics; Electrical engineering; Engineering; Operations research; Renewable energy; Artificial intelligence","score_opus":0.06118697658572991,"score_gpt":0.23736046173936726,"score_spread":0.17617348515363734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088729466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40932217,0.00015873204,0.5861376,0.000065266744,0.000011598556,0.00004771894,0.00008363251,0.00027187826,0.0039013296],"genre_scores_gemma":[0.99313724,0.00005034092,0.0065079452,0.0000023124999,0.0000043039795,0.000012501709,0.000037401383,0.000009370386,0.00023866189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998443,0.00005215904,0.000008347929,0.00002639664,0.000056415927,0.000012387534],"domain_scores_gemma":[0.999705,0.00013477821,0.0000716525,0.000018527313,0.000060471964,0.00000965751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030407097,0.00035497366,0.00028587857,0.0007058441,0.00015838048,0.00038207695,0.00022846005,0.00016583232,0.0004144299],"category_scores_gemma":[0.0009985788,0.00010846568,0.00018016934,0.0004613749,0.00022595839,0.0005384196,0.00023729498,0.00017750666,0.00009071395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532296,0.000028477032,0.007508887,0.00005359079,0.000026699317,0.00014264815,0.00006944131,0.90907866,0.013553248,0.0035276443,0.00025607046,0.065609254],"study_design_scores_gemma":[0.0000011832935,0.000013659578,0.00096793094,0.000001255406,0.0000015287129,0.000011733155,0.000005581692,0.99793303,0.0005951313,0.0004269329,0.000040381972,0.0000016761678],"about_ca_topic_score_codex":0.0017294778,"about_ca_topic_score_gemma":0.00145413,"teacher_disagreement_score":0.0017294778,"about_ca_system_score_codex":0.0003267758,"about_ca_system_score_gemma":0.0002089283,"threshold_uncertainty_score":0.0034388304},"labels":[],"label_agreement":null},{"id":"W3100647435","doi":"10.1049/iet-rpg.2019.1456","title":"Wind turbine multiphase operational trajectory in an all‐DC wind generation system","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Turbine; Trajectory; Wind power; Electricity generation; Marine engineering; Computer science; Automotive engineering; Environmental science; Control theory (sociology); Aerospace engineering; Engineering; Electrical engineering; Physics; Control (management); Power (physics)","score_opus":0.03345267339494249,"score_gpt":0.24006452098981168,"score_spread":0.2066118475948692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100647435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30870745,0.00028429218,0.6741382,0.000267052,0.00010795238,0.00016895107,0.00028524324,0.0010263955,0.01501453],"genre_scores_gemma":[0.9882621,0.00008321135,0.009978037,0.000009235517,0.0000048174534,0.000027139002,0.00006024818,0.000008870546,0.0015664358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999263,0.000016651487,0.000005618304,0.000015649099,0.000026520382,0.000009351413],"domain_scores_gemma":[0.99992037,0.000010925142,0.000016470267,0.000009815357,0.000033248114,0.00000920795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010941683,0.0003036327,0.00018705364,0.0001246069,0.0003151222,0.00042625095,0.00028282194,0.00021509724,0.0008943298],"category_scores_gemma":[0.00013239752,0.00008017252,0.00010497173,0.0002053994,0.00021975256,0.00025984333,0.00016531636,0.0002474805,0.00016085121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002379071,0.00007948624,0.0018283455,0.00013619341,0.000021308319,0.00046199764,0.00011047533,0.9105881,0.01973591,0.011542421,0.0013473387,0.05391046],"study_design_scores_gemma":[0.00001740563,0.000081133156,0.00048362208,0.000003700617,0.0000054892544,0.000039202314,0.00001763956,0.99544287,0.002068352,0.0006181584,0.0012181244,0.0000043295304],"about_ca_topic_score_codex":0.0049407273,"about_ca_topic_score_gemma":0.0040955157,"teacher_disagreement_score":0.0049407273,"about_ca_system_score_codex":0.00023612523,"about_ca_system_score_gemma":0.00032964983,"threshold_uncertainty_score":0.009823918},"labels":[],"label_agreement":null},{"id":"W3123087323","doi":"10.1049/rpg2.12088","title":"Robust load frequency control for networked power system with renewable energy via fractional‐order global sliding mode control","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Automatic frequency control; Renewable energy; Frequency regulation; Mode (computer interface); Sliding mode control; Control (management); Electric power system; Order (exchange); Computer science; Robust control; Power (physics); Control system; Engineering; Electrical engineering; Telecommunications; Economics; Physics","score_opus":0.010701362676631345,"score_gpt":0.2022116652780422,"score_spread":0.19151030260141086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123087323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06298004,0.00028121204,0.9301867,0.0001394995,0.00008558139,0.000032919765,0.000022411337,0.0004149553,0.005856629],"genre_scores_gemma":[0.9917699,0.000069269045,0.007078361,0.00001817582,0.00001464337,0.0000243493,0.000011190849,0.000007629656,0.0010064655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982077,0.000038357735,0.000011229193,0.00004776949,0.000055416484,0.00002654668],"domain_scores_gemma":[0.9998153,0.000072970644,0.000046173853,0.000019366484,0.000038818776,0.000007437477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037913074,0.0004940354,0.0004247366,0.00024622394,0.00028891946,0.00062255916,0.00038435016,0.00033658437,0.0012211907],"category_scores_gemma":[0.00054682296,0.0001281963,0.00037401644,0.00020184806,0.0004609507,0.00045295726,0.00039516756,0.00038721506,0.00010939044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010958277,0.00003615707,0.00038612072,0.000100365454,0.000036912883,0.0001500305,0.000103785314,0.9356492,0.013288803,0.008568853,0.00055879133,0.041011296],"study_design_scores_gemma":[0.0000077590585,0.0000510993,0.00010398946,0.0000037158993,0.000004871023,0.0000072979487,0.0000052249384,0.99786025,0.00075955194,0.00094397634,0.00024883382,0.0000034097513],"about_ca_topic_score_codex":0.003832391,"about_ca_topic_score_gemma":0.0026964096,"teacher_disagreement_score":0.003832391,"about_ca_system_score_codex":0.00036599732,"about_ca_system_score_gemma":0.0002925221,"threshold_uncertainty_score":0.007620156},"labels":[],"label_agreement":null},{"id":"W3125327994","doi":"10.1049/rpg2.12074","title":"Enhanced PI control and adaptive gain tuning schemes for distributed secondary control of an islanded microgrid","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Control theory (sociology); Control (management); Pi; Computer science; PID controller; Control engineering; Engineering; Mathematics; Temperature control; Artificial intelligence","score_opus":0.0067391454777209515,"score_gpt":0.19913997844022088,"score_spread":0.19240083296249993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125327994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049984496,0.00019733918,0.9440065,0.00008452001,0.00008535327,0.000048662656,0.000017048054,0.0003178404,0.005258332],"genre_scores_gemma":[0.98377717,0.000058214246,0.014827889,0.000019958452,0.000018429297,0.000028028122,0.000010980138,0.0000063666325,0.0012529885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998418,0.000032769338,0.000011118032,0.000046862526,0.000048639897,0.00001877907],"domain_scores_gemma":[0.9998233,0.00004370479,0.000029002538,0.000021970613,0.00007271163,0.000009393089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038680792,0.00045130137,0.00029373248,0.00018769271,0.00025404204,0.00047881203,0.00062499486,0.000241951,0.0014447778],"category_scores_gemma":[0.00053688115,0.00013275656,0.00023617364,0.00016849765,0.0003378678,0.000318966,0.00038764885,0.00051129767,0.0001622157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036454393,0.00016534541,0.00059287,0.00019945737,0.0000705969,0.00022811488,0.00022409027,0.77459425,0.056083217,0.018907467,0.0013509154,0.14721909],"study_design_scores_gemma":[0.000021190162,0.00013057154,0.00015083628,0.0000042593006,0.000010787327,0.000020593125,0.0000069709145,0.9945873,0.0032606267,0.0009656882,0.00083664653,0.000004569393],"about_ca_topic_score_codex":0.001489177,"about_ca_topic_score_gemma":0.0013468413,"teacher_disagreement_score":0.001489177,"about_ca_system_score_codex":0.00029373472,"about_ca_system_score_gemma":0.0003386372,"threshold_uncertainty_score":0.004833281},"labels":[],"label_agreement":null},{"id":"W3125401970","doi":"10.1049/rpg2.12064","title":"Decentralized stochastic programming for optimal vehicle‐to‐grid operation in smart grid with renewable generation","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Smart grid; Grid; Computer science; Renewable energy; Stochastic programming; Vehicle-to-grid; Mathematical optimization; Distributed computing; Electric vehicle; Engineering; Electrical engineering; Power (physics); Mathematics","score_opus":0.011260300694496616,"score_gpt":0.22057252541399988,"score_spread":0.20931222471950325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125401970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0701903,0.00015346029,0.92389643,0.0003664604,0.00004410944,0.00007954524,0.000089957175,0.00024156421,0.0049382034],"genre_scores_gemma":[0.96334875,0.00009447706,0.03398886,0.00005580019,0.00001983089,0.000102037615,0.00006519834,0.00004921936,0.0022756872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927825,0.00030078526,0.000021697513,0.00009616472,0.00014381633,0.00015934752],"domain_scores_gemma":[0.9983437,0.0010944512,0.00020694938,0.00004383323,0.00021135477,0.00009966787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015263262,0.0008043848,0.0015050145,0.00034778233,0.00046243804,0.0009356483,0.00074976933,0.0007530793,0.002300964],"category_scores_gemma":[0.0026124052,0.0006165128,0.00065049867,0.00048548868,0.00072834326,0.00067572953,0.000847223,0.0010587303,0.00017418273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016451291,0.0000072026883,0.000064772095,0.000007137863,0.0000043397627,0.000014220308,0.0000058570286,0.9967463,0.00012790176,0.0019405353,0.00008826774,0.0009769226],"study_design_scores_gemma":[0.0000027010567,0.000004010601,0.000012397176,5.222731e-7,7.0527153e-7,8.7098385e-7,0.000001797364,0.9993913,0.000026495954,0.00053634285,0.000022176448,6.831953e-7],"about_ca_topic_score_codex":0.010203274,"about_ca_topic_score_gemma":0.0079281395,"teacher_disagreement_score":0.010203274,"about_ca_system_score_codex":0.0013480193,"about_ca_system_score_gemma":0.0018654392,"threshold_uncertainty_score":0.020287752},"labels":[],"label_agreement":null},{"id":"W3130077863","doi":"10.1049/iet-rpg.2020.0479","title":"Sub‐synchronous oscillations in wind farms – an overview study of mechanisms and damping methods","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Turbine; Computer science; Wind power; Oscillation (cell signaling); Environmental science; Engineering; Aerospace engineering; Electrical engineering","score_opus":0.039576296167102974,"score_gpt":0.2861496824678009,"score_spread":0.24657338630069794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130077863","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027621064,0.19297646,0.7510799,0.00063043804,0.00043333485,0.00015079115,0.00016800406,0.00043018925,0.026509788],"genre_scores_gemma":[0.5396108,0.24120903,0.20547684,0.00014745785,0.0013493523,0.0003118359,0.00031190462,0.0001990416,0.011383657],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966383,0.00008564434,0.000031416566,0.00007913188,0.0001171182,0.00002274753],"domain_scores_gemma":[0.99962056,0.0001810341,0.00006318828,0.0000324837,0.0000892015,0.000013506656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069918757,0.0010379164,0.00064636715,0.0019237166,0.00026309254,0.0013017359,0.00069113006,0.0007153411,0.001711648],"category_scores_gemma":[0.000815605,0.00047915583,0.00087699183,0.0012037078,0.00043602337,0.0011707124,0.00057217974,0.0005944046,0.00061875494],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016818536,0.00017007509,0.0042316127,0.004690282,0.00026346155,0.00045518746,0.0006007449,0.15691121,0.02160241,0.054003626,0.003652074,0.75325125],"study_design_scores_gemma":[0.00006266199,0.0006280846,0.013453203,0.002744766,0.0003758544,0.0013399821,0.0007333916,0.76677924,0.014477421,0.05869033,0.1405292,0.00018581758],"about_ca_topic_score_codex":0.001259645,"about_ca_topic_score_gemma":0.0008954548,"teacher_disagreement_score":0.0019237166,"about_ca_system_score_codex":0.0003467301,"about_ca_system_score_gemma":0.0003974631,"threshold_uncertainty_score":0.00572598},"labels":[],"label_agreement":null},{"id":"W3130844097","doi":"10.1049/iet-rpg.2020.0702","title":"Line fault location for multi‐terminal MMC‐HVDC system based on SWT and SVD","year":2020,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Terminal (telecommunication); Fault (geology); Computer science; Telecommunications; Biology","score_opus":0.03636874740339028,"score_gpt":0.24525674324073074,"score_spread":0.20888799583734047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130844097","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029750837,0.00012897528,0.96843207,0.00003959319,0.00003727138,0.00003044523,0.00003849552,0.0002973624,0.0012449446],"genre_scores_gemma":[0.61254585,0.00034661253,0.38391626,0.00003036581,0.000051870196,0.00006074845,0.00021175748,0.000057623194,0.002779001],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.0000349321,0.000021116144,0.00005578664,0.00011955332,0.000020641826],"domain_scores_gemma":[0.9996979,0.000061796396,0.00006315281,0.00002580953,0.00013105011,0.000020248011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020627314,0.00069493207,0.00049239513,0.0010210804,0.00026859753,0.000574261,0.000425106,0.0003727004,0.0011301759],"category_scores_gemma":[0.000842237,0.00021973078,0.00056365866,0.00074503117,0.00021860693,0.0007905342,0.000371381,0.00034428525,0.00041548448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035911577,0.000076200646,0.0025007937,0.0003475949,0.000075815384,0.00029048958,0.00021253889,0.19960783,0.06366929,0.004460348,0.0014052538,0.72699463],"study_design_scores_gemma":[0.00001029519,0.000087070825,0.001040437,0.000012745932,0.000019725627,0.00015309923,0.000054531458,0.98668426,0.010242094,0.00087726244,0.00080577674,0.000012722372],"about_ca_topic_score_codex":0.0017661933,"about_ca_topic_score_gemma":0.001976315,"teacher_disagreement_score":0.0017661933,"about_ca_system_score_codex":0.00024697866,"about_ca_system_score_gemma":0.0004169088,"threshold_uncertainty_score":0.0037807822},"labels":[],"label_agreement":null},{"id":"W3139368184","doi":"10.1049/rpg2.12155","title":"Performance assessment of a novel power generation system","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Reliability engineering; Engineering","score_opus":0.015243248749445331,"score_gpt":0.23329622877419118,"score_spread":0.21805298002474585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139368184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94256985,0.00022954574,0.044146,0.0000993744,0.00004893696,0.0001942208,0.00035849668,0.00093822594,0.011415148],"genre_scores_gemma":[0.9953637,0.000037298872,0.0034291444,0.0000051736943,0.000004556969,0.000027485841,0.00008906059,0.000010285765,0.001033355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999808,0.0000460222,0.0000136026965,0.000048822745,0.00005975354,0.000023872768],"domain_scores_gemma":[0.9998468,0.000047411184,0.00002189516,0.000019905296,0.000050818424,0.000013150979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002450833,0.0003018176,0.00034098397,0.000304478,0.00029824747,0.0006427039,0.00041364424,0.00033200553,0.0041021453],"category_scores_gemma":[0.00042077876,0.00010702413,0.00018987902,0.00028158375,0.00017925531,0.0005282794,0.000317241,0.00021388163,0.00061739155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028133944,0.00055591296,0.0100447275,0.0010901502,0.00018168511,0.001126541,0.00021509282,0.5429087,0.2598082,0.003937052,0.0024463858,0.1748721],"study_design_scores_gemma":[0.00028057423,0.0037936885,0.009686899,0.000033000328,0.00010674054,0.0005623101,0.000105878265,0.8651652,0.112265855,0.0010863363,0.006872424,0.000041065894],"about_ca_topic_score_codex":0.0009669343,"about_ca_topic_score_gemma":0.000778885,"teacher_disagreement_score":0.0041021453,"about_ca_system_score_codex":0.00043115224,"about_ca_system_score_gemma":0.000255066,"threshold_uncertainty_score":0.013723016},"labels":[],"label_agreement":null},{"id":"W3144445876","doi":"10.1049/rpg2.12169","title":"Risk‐adjustable stochastic schedule based on Sobol augmented Latin hypercube sampling considering correlation of wind power uncertainties","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Electric Power System Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Latin hypercube sampling; Sobol sequence; Schedule; Computer science; Sampling (signal processing); Correlation; Mathematical optimization; Mathematics; Applied mathematics; Monte Carlo method; Statistics","score_opus":0.017731901892717897,"score_gpt":0.21918025193485077,"score_spread":0.20144835004213288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144445876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039095156,0.0001165796,0.9584678,0.0000853901,0.000024953095,0.000089135174,0.00006577275,0.00013015594,0.0019250116],"genre_scores_gemma":[0.87315184,0.00015229735,0.12459375,0.00006641872,0.000025564947,0.00030401876,0.00019682088,0.000052409065,0.0014568067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898726,0.0006294764,0.000030077526,0.00011530907,0.00015066615,0.00008719563],"domain_scores_gemma":[0.998336,0.0010041734,0.00018474569,0.000098407356,0.0002969758,0.00007977939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016768393,0.0007720786,0.0007472012,0.00057169265,0.00036078156,0.00063934043,0.0006896336,0.00040013777,0.0020820384],"category_scores_gemma":[0.0032159737,0.00033910453,0.0006283212,0.00057325343,0.00055197807,0.00071753317,0.0007779974,0.0007306569,0.00016721961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003843416,0.000012915087,0.0003287205,0.000017754503,0.00001337999,0.000028732646,0.00001641666,0.9871553,0.0004351186,0.0048356284,0.0001790445,0.0069385394],"study_design_scores_gemma":[0.000003820541,0.000017185102,0.000052215208,0.0000018038426,0.0000018884521,0.0000035412531,0.00000403791,0.9984004,0.00013265562,0.0012772174,0.00010292542,0.0000023459484],"about_ca_topic_score_codex":0.004242242,"about_ca_topic_score_gemma":0.003090005,"teacher_disagreement_score":0.004242242,"about_ca_system_score_codex":0.00075916405,"about_ca_system_score_gemma":0.0010073761,"threshold_uncertainty_score":0.008868098},"labels":[],"label_agreement":null},{"id":"W3158092848","doi":"10.1049/rpg2.12192","title":"Rotors for wave energy conversion—Practice and possibilities","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; European Commission","keywords":"Energy transformation; Energy (signal processing); Computer science; Nuclear engineering; Environmental science; Physics; Engineering; Thermodynamics","score_opus":0.016099071815837005,"score_gpt":0.20973246515135885,"score_spread":0.19363339333552185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158092848","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003870925,0.94878215,0.02327745,0.0022437372,0.00092377723,0.000029064817,0.000026898257,0.00006670946,0.020779235],"genre_scores_gemma":[0.07014167,0.9022285,0.017971449,0.0009359719,0.0009866827,0.00009032158,0.000051580475,0.00003274692,0.007561094],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994331,0.00018938303,0.00004595583,0.00010133667,0.00019253901,0.000037658014],"domain_scores_gemma":[0.99956495,0.00026943092,0.000039871913,0.000038657166,0.00007296273,0.0000141481005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012533948,0.0005873809,0.00081878825,0.0010808356,0.00037981354,0.002253842,0.00074960425,0.001542996,0.0032999811],"category_scores_gemma":[0.00087030855,0.0003818512,0.0005332105,0.0009317252,0.0018436611,0.0024834198,0.0009114528,0.0016026923,0.0016406315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011263375,0.0001594104,0.00029809744,0.009908231,0.00007247645,0.0003877049,0.0004329808,0.003323011,0.022726437,0.40481827,0.008030196,0.54973054],"study_design_scores_gemma":[0.000026655396,0.00044709665,0.00044678233,0.0036556222,0.000046452646,0.00096876913,0.00035361073,0.0022093728,0.012401652,0.08339603,0.8959861,0.00006184133],"about_ca_topic_score_codex":0.00022683412,"about_ca_topic_score_gemma":0.00021231713,"teacher_disagreement_score":0.0032999811,"about_ca_system_score_codex":0.00043553172,"about_ca_system_score_gemma":0.00045164634,"threshold_uncertainty_score":0.011039555},"labels":[],"label_agreement":null},{"id":"W3158331039","doi":"10.1049/rpg2.12201","title":"Formulation of a wind farm control strategy considering lifetime of DC‐link capacitor bank of type IV wind turbines","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wind power; Capacitor; Electrical engineering; Automotive engineering; Control (management); Control theory (sociology); Marine engineering; Engineering; Environmental science; Computer science; Voltage","score_opus":0.015468428900086281,"score_gpt":0.21614228754790363,"score_spread":0.20067385864781734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158331039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03037857,0.00036390455,0.93886966,0.00040138946,0.000116422634,0.00021100523,0.00010572798,0.00022165943,0.0293316],"genre_scores_gemma":[0.96512824,0.00022749668,0.025102286,0.00009644058,0.00004836022,0.0002733415,0.00005814206,0.000038363025,0.009027351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.00004146024,0.0000085950505,0.00003272626,0.0000544083,0.000026105412],"domain_scores_gemma":[0.99982053,0.00006275228,0.000028926112,0.000008651498,0.00006482198,0.000014340919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041545834,0.0009411837,0.0006695004,0.0003403972,0.00049427734,0.0013644587,0.0008623522,0.0013578404,0.004252547],"category_scores_gemma":[0.0004956285,0.00037641247,0.00041199103,0.00027214916,0.0005467719,0.00048027732,0.0005481967,0.0006891339,0.00036717593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041558018,0.000026800442,0.00012499293,0.00008419461,0.0000198826,0.00015325572,0.00004822764,0.9749912,0.004329297,0.0086724935,0.0007978356,0.010710204],"study_design_scores_gemma":[0.000009901324,0.000050064253,0.00007277564,0.000006556463,0.000007103981,0.000009642461,0.000010723919,0.9981567,0.00032836242,0.00095538975,0.0003890634,0.0000036874585],"about_ca_topic_score_codex":0.007471799,"about_ca_topic_score_gemma":0.0060681077,"teacher_disagreement_score":0.007471799,"about_ca_system_score_codex":0.00089670304,"about_ca_system_score_gemma":0.0008988133,"threshold_uncertainty_score":0.0148566365},"labels":[],"label_agreement":null},{"id":"W3159081441","doi":"10.1049/rpg2.12185","title":"Study on harmonic interaction between paralleled STATCOMs with cascaded H‐bridge topology in wind farm clusters","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"H bridge; Topology (electrical circuits); Bridge (graph theory); Wind power; Harmonic; Physics; Computer science; Engineering; Structural engineering; Electrical engineering; Medicine; Acoustics; Pulse-width modulation; Voltage; Internal medicine","score_opus":0.0333074823221156,"score_gpt":0.26357765030818325,"score_spread":0.23027016798606764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159081441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9052338,0.00019482724,0.087139964,0.000067672125,0.000030064624,0.000037813636,0.00004159302,0.00011955786,0.0071345796],"genre_scores_gemma":[0.99874026,0.000021744565,0.00074997963,0.0000026008122,0.000004141463,0.0000029028909,0.0000080565915,0.000002492288,0.00046779838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998952,0.00002916147,0.000003464287,0.000023294984,0.00002916197,0.000019666806],"domain_scores_gemma":[0.99982905,0.00006865972,0.00002710746,0.000016969594,0.00004327775,0.000014950514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001546455,0.00026736732,0.00030606007,0.0002678424,0.00033732725,0.0003506204,0.00046643926,0.00036437777,0.0019085275],"category_scores_gemma":[0.00031840394,0.00015095872,0.00030134636,0.00024394655,0.00030562325,0.0004936742,0.00020108506,0.00026662782,0.00011994395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003620538,0.00013225123,0.0066571096,0.00013926851,0.00012741213,0.0016928372,0.00019831951,0.9156845,0.042679697,0.011780067,0.00081269786,0.019733775],"study_design_scores_gemma":[0.000008341091,0.00011688377,0.0012533283,0.000002725054,0.000014420293,0.000065854816,0.000041716357,0.99541616,0.0017861222,0.0010828038,0.00020780883,0.0000038277303],"about_ca_topic_score_codex":0.002717759,"about_ca_topic_score_gemma":0.0019080571,"teacher_disagreement_score":0.002717759,"about_ca_system_score_codex":0.00041301086,"about_ca_system_score_gemma":0.00017235203,"threshold_uncertainty_score":0.0063847303},"labels":[],"label_agreement":null},{"id":"W3166592909","doi":"10.1049/rpg2.12223","title":"An adaptive real‐time energy management system for a renewable energy‐based microgrid","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"FortisBC; Mitacs","keywords":"Microgrid; Renewable energy; Energy management system; Computer science; Energy management; Energy (signal processing); Real-time computing; Engineering; Electrical engineering; Mathematics","score_opus":0.006870236687341355,"score_gpt":0.18706232392929478,"score_spread":0.18019208724195343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166592909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086442,0.0003628392,0.90353763,0.00029063117,0.00012082414,0.00008790169,0.000051677493,0.0010288795,0.008077556],"genre_scores_gemma":[0.9664329,0.00008404524,0.031427402,0.00003987147,0.000023345245,0.00006273674,0.000024750716,0.000013519633,0.0018913932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998838,0.00003572022,0.000008083859,0.00003135729,0.000029781897,0.000011200872],"domain_scores_gemma":[0.99990404,0.000023277113,0.000022846449,0.000011752563,0.00002743206,0.0000106017715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026202813,0.00039315576,0.0003039229,0.00016052362,0.00031121756,0.0004170002,0.00069349207,0.00029022642,0.0015146913],"category_scores_gemma":[0.00031776438,0.0001388024,0.0002444914,0.00019517049,0.0002279696,0.0003217011,0.00040860655,0.0003766524,0.0002263191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013252559,0.0000815353,0.00066922756,0.00010025073,0.00005297584,0.00023756981,0.000075950564,0.8867539,0.01315812,0.0052812253,0.0016959715,0.09176075],"study_design_scores_gemma":[0.000008402308,0.000038911574,0.00008213764,0.0000022095844,0.000004444313,0.000013642154,0.00000534347,0.9984981,0.0005219052,0.0003477766,0.00047356015,0.0000036424813],"about_ca_topic_score_codex":0.002551029,"about_ca_topic_score_gemma":0.0026182465,"teacher_disagreement_score":0.002551029,"about_ca_system_score_codex":0.00026943136,"about_ca_system_score_gemma":0.00040187006,"threshold_uncertainty_score":0.0050723553},"labels":[],"label_agreement":null},{"id":"W3185580118","doi":"10.1049/rpg2.12232","title":"A new relaying scheme for protection of transmission lines connected to DFIG‐based wind farms","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Doubly fed electric machine; Scheme (mathematics); Transmission (telecommunications); Electric power transmission; Computer science; Telecommunications; Electrical engineering; Engineering; Mathematics; AC power; Voltage","score_opus":0.027509807038267973,"score_gpt":0.2416944690575609,"score_spread":0.21418466201929293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185580118","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.138424,0.0011417443,0.85310346,0.0002216355,0.00023758615,0.00020263183,0.0001365639,0.0013060449,0.005226323],"genre_scores_gemma":[0.9363275,0.0002454103,0.06082444,0.00003253725,0.00006176105,0.000053959437,0.00009320012,0.000012709379,0.002348555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979275,0.000041433235,0.00003059941,0.000051384577,0.0000649095,0.000018824929],"domain_scores_gemma":[0.99979514,0.000023163551,0.000045593446,0.00006372969,0.000059073813,0.000013261682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021152484,0.00038916848,0.00032254442,0.00033705498,0.00035922963,0.00038411556,0.0008363174,0.000537809,0.0009636906],"category_scores_gemma":[0.00026923363,0.00011064768,0.00018456324,0.00017909473,0.0002380977,0.000723769,0.00028129586,0.0003154793,0.00037366577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007834403,0.00015757668,0.0010001688,0.00053029106,0.0001223588,0.0014671439,0.00032103117,0.07421803,0.42934683,0.022261178,0.0034413335,0.4663506],"study_design_scores_gemma":[0.00036585945,0.0018746005,0.002721767,0.00008821098,0.00020733489,0.003049127,0.000071398106,0.7977184,0.13596353,0.0097974455,0.048070423,0.00007188847],"about_ca_topic_score_codex":0.00026952746,"about_ca_topic_score_gemma":0.0005113573,"teacher_disagreement_score":0.0009636906,"about_ca_system_score_codex":0.00023964526,"about_ca_system_score_gemma":0.0001433141,"threshold_uncertainty_score":0.0032238364},"labels":[],"label_agreement":null},{"id":"W3189047410","doi":"10.1049/rpg2.12269","title":"Guest editorial: Selected papers from the 2020 2nd international conference on smart power &amp; internet energy systems (SPIES2020)","year":2021,"lang":"en","type":"editorial","venue":"IET Renewable Power Generation","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"The Internet; Computer science; Telecommunications; World Wide Web","score_opus":0.011758097143354714,"score_gpt":0.21641079513795433,"score_spread":0.20465269799459962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189047410","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023746089,0.005389725,0.00045306445,0.019358477,0.9675147,0.00005482856,0.00020725184,0.00012788412,0.006656524],"genre_scores_gemma":[0.0018580379,0.008144792,0.00030177794,0.009813623,0.9234763,0.000064755055,0.0003779983,0.00020561948,0.0557572],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802667,0.00018854118,0.00020378114,0.0003456297,0.0010227775,0.00021246666],"domain_scores_gemma":[0.98973036,0.0013653666,0.0006682854,0.00021195204,0.0060111755,0.0020128617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002671852,0.0025069795,0.0020629712,0.002773358,0.0016973062,0.0070060277,0.0020497474,0.004681265,0.07409611],"category_scores_gemma":[0.007683186,0.00059310265,0.0017962868,0.0012276734,0.0007611666,0.0029691912,0.0013140667,0.0052426723,0.040409125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007098987,0.000018848348,0.000050816107,0.000195787,0.000010936025,0.00008747473,0.000009007137,0.000038181035,0.00018109824,0.00017737289,0.99017185,0.0089876605],"study_design_scores_gemma":[0.000042461317,0.00007258919,0.00043090602,0.00026548575,0.000029045492,0.00018931083,0.000052306423,0.0001761731,0.0003597794,0.0004204557,0.9979417,0.000019849113],"about_ca_topic_score_codex":0.00048275653,"about_ca_topic_score_gemma":0.0011558166,"teacher_disagreement_score":0.07409611,"about_ca_system_score_codex":0.0014822939,"about_ca_system_score_gemma":0.0012486356,"threshold_uncertainty_score":0.24787617},"labels":[],"label_agreement":null},{"id":"W3199702169","doi":"10.1049/rpg2.12281","title":"Comprehensive aging assessment of pitch systems combining SCADA and failure data","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Program for Changjiang Scholars and Innovative Research Team in University","keywords":"SCADA; Reliability engineering; Computer science; Engineering; Electrical engineering","score_opus":0.03136609178891957,"score_gpt":0.3089912561419679,"score_spread":0.2776251643530483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199702169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69047767,0.00032683433,0.30637583,0.00005096518,0.000034421944,0.00009266242,0.00044796313,0.00073841383,0.0014551717],"genre_scores_gemma":[0.9896241,0.00003688086,0.010058422,0.000004104937,0.000006969261,0.000012130763,0.00014712174,0.0000045561223,0.000105659834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926883,0.00016836249,0.00007658145,0.00014088358,0.0003027749,0.00004257999],"domain_scores_gemma":[0.99829894,0.00037156013,0.00037289775,0.00021148885,0.0006738025,0.00007136574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015648492,0.00063370675,0.00047678984,0.0019093326,0.00020552223,0.0006015357,0.00022810287,0.0003453653,0.00029377392],"category_scores_gemma":[0.002873218,0.00015626312,0.00028510965,0.0009501115,0.00024248079,0.0009273995,0.00046919048,0.00024702554,0.00011959607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041377873,0.0001908923,0.08935927,0.00022037145,0.00036939923,0.00045709868,0.00025327882,0.6111651,0.0561625,0.001628862,0.0011523318,0.2386271],"study_design_scores_gemma":[0.0000104403825,0.00028201178,0.04327945,0.000017695123,0.00006269907,0.000103613434,0.000045347926,0.94521147,0.0094778435,0.00090346317,0.0005764743,0.000029560397],"about_ca_topic_score_codex":0.0018331872,"about_ca_topic_score_gemma":0.0018208182,"teacher_disagreement_score":0.0019093326,"about_ca_system_score_codex":0.00034863516,"about_ca_system_score_gemma":0.0002792285,"threshold_uncertainty_score":0.008275807},"labels":[],"label_agreement":null},{"id":"W4213283806","doi":"10.1049/rpg2.12408","title":"A deep‐learning based solar irradiance forecast using missing data","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Solar irradiance; Irradiance; Meteorology; Missing data; Computer science; Environmental science; Remote sensing; Machine learning; Geography; Physics; Optics","score_opus":0.06956732831606048,"score_gpt":0.2747055979466172,"score_spread":0.2051382696305567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213283806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27744952,0.00086279865,0.7132496,0.0008752114,0.00024225272,0.000041030875,0.0008799777,0.002378479,0.004021126],"genre_scores_gemma":[0.9760927,0.00015033534,0.02096907,0.000079965495,0.000038563165,0.00002408926,0.0005207155,0.000026008376,0.0020985755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985194,0.000027289156,0.0000092355485,0.000049300837,0.000033136537,0.000029112305],"domain_scores_gemma":[0.9996642,0.00013226343,0.00003347542,0.00003048512,0.00011704813,0.000022545773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005988714,0.00045400512,0.0006784193,0.00035227084,0.00022973506,0.00048501015,0.0010921536,0.0006678588,0.0012231686],"category_scores_gemma":[0.0011966228,0.00039740646,0.0005296011,0.00045582728,0.0001678322,0.00070409727,0.00042800952,0.0011191426,0.00026805213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012791588,0.00007836248,0.0019904843,0.00003155992,0.00005012918,0.00006329518,0.000017034721,0.9392073,0.0014452288,0.00064310967,0.0012899974,0.05505561],"study_design_scores_gemma":[0.0000014512611,0.0000036531217,0.000093364804,9.686606e-7,0.0000017665998,0.0000011980678,5.638956e-7,0.99964106,0.00013067947,0.000095726675,0.000028589404,9.140786e-7],"about_ca_topic_score_codex":0.01967284,"about_ca_topic_score_gemma":0.016077947,"teacher_disagreement_score":0.01967284,"about_ca_system_score_codex":0.00059455447,"about_ca_system_score_gemma":0.0008096105,"threshold_uncertainty_score":0.03911668},"labels":[],"label_agreement":null},{"id":"W4213439732","doi":"10.1049/rpg2.12376","title":"Optimal battery cycling strategies in workplaces with electric vehicle chargers, energy storage systems and renewable energy generation","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Saint Mary's University","funders":"","keywords":"Cycling; Automotive engineering; Renewable energy; Battery (electricity); Energy storage; Electric vehicle; Computer science; Electrical engineering; Environmental science; Engineering; Physics; Power (physics)","score_opus":0.012704638822467085,"score_gpt":0.21967729709782446,"score_spread":0.20697265827535738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213439732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88752925,0.00020955736,0.09652378,0.00032134136,0.0000312954,0.00011891004,0.00008936544,0.00006337201,0.015113009],"genre_scores_gemma":[0.99671775,0.00003252526,0.002409932,0.0000052462374,0.0000015978619,0.000014265036,0.000011139518,0.0000026073524,0.0008049768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972206,0.00012638222,0.000011391106,0.000029136825,0.00003576833,0.00007518668],"domain_scores_gemma":[0.99948835,0.00025273225,0.00006035758,0.000037498823,0.000086487926,0.000074503805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007919107,0.00037301762,0.00050461484,0.00027352653,0.00041143232,0.00091982796,0.00063923554,0.00076504506,0.0029005061],"category_scores_gemma":[0.0015178474,0.00021632737,0.0003291028,0.00018544983,0.00033155194,0.000597846,0.00088458403,0.0004313436,0.00024032278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046904886,0.00043515896,0.0046457252,0.00011964361,0.000051653962,0.00066259253,0.00017985591,0.95258045,0.0070970277,0.009978278,0.000742786,0.023037817],"study_design_scores_gemma":[0.000030527208,0.00038532165,0.0018008419,0.000022574102,0.000022794371,0.000053462692,0.0006066702,0.9897914,0.0019472477,0.004717164,0.0006061529,0.000015903024],"about_ca_topic_score_codex":0.0038932317,"about_ca_topic_score_gemma":0.004535182,"teacher_disagreement_score":0.0038932317,"about_ca_system_score_codex":0.0005360707,"about_ca_system_score_gemma":0.0006108074,"threshold_uncertainty_score":0.009703159},"labels":[],"label_agreement":null},{"id":"W4224868011","doi":"10.1049/rpg2.12479","title":"Applications of artificial intelligence in renewable energy systems","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Computer science; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.016873982501590577,"score_gpt":0.22080628703639404,"score_spread":0.20393230453480346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224868011","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0122948615,0.23118821,0.54481643,0.014050456,0.0032771057,0.00026840708,0.0003245953,0.0007018056,0.19307812],"genre_scores_gemma":[0.5836532,0.20949243,0.17414467,0.002048191,0.005187731,0.00043810194,0.00058526587,0.00014705243,0.024303295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846846,0.00057701825,0.000121538316,0.00018338495,0.0005784191,0.00007107681],"domain_scores_gemma":[0.9985695,0.0010153654,0.000078413366,0.000120815144,0.00018360897,0.00003228668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012560621,0.0008785262,0.00097646425,0.0015672984,0.00043232206,0.0027153713,0.0008715347,0.0015421029,0.0040353457],"category_scores_gemma":[0.0029293825,0.00030048343,0.00094030134,0.0023485704,0.0013666794,0.0017835202,0.0014934024,0.0020432586,0.00091067754],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047015717,0.00008104853,0.0012982473,0.0025807465,0.00029225805,0.0004537784,0.0003648631,0.12816204,0.0026255604,0.5129189,0.018322252,0.33285338],"study_design_scores_gemma":[0.000022106786,0.00009239623,0.001447969,0.0007383371,0.000059580387,0.00031710014,0.00021246969,0.2368967,0.00186043,0.5913072,0.16697696,0.00006878292],"about_ca_topic_score_codex":0.0010145116,"about_ca_topic_score_gemma":0.0006442659,"teacher_disagreement_score":0.0040353457,"about_ca_system_score_codex":0.0010077736,"about_ca_system_score_gemma":0.0008871246,"threshold_uncertainty_score":0.013499618},"labels":[],"label_agreement":null},{"id":"W4292542415","doi":"10.1049/rpg2.12558","title":"A novel virtual synchronous machine implementation and verification of its effectiveness to mitigate renewable generation connection issues at weak transmission grid locations","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"","keywords":"Electric power system; Exciter; Renewable energy; Inverter; Photovoltaic system; Computer science; Grid connection; Distributed generation; Grid; Engineering; Control theory (sociology); Control engineering; Power (physics); Electrical engineering; Voltage","score_opus":0.010058664951690159,"score_gpt":0.23498093867841943,"score_spread":0.22492227372672927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292542415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69426095,0.000107043415,0.29575124,0.00015551067,0.00013229827,0.00010072797,0.000101639656,0.0018946811,0.0074958364],"genre_scores_gemma":[0.9960045,0.000005359588,0.0037885483,0.000003376638,0.0000017979339,0.000006805292,0.000008361867,0.0000044095473,0.00017684736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981564,0.00007946411,0.000011321708,0.000024112058,0.000049504742,0.00002005421],"domain_scores_gemma":[0.99961096,0.00011871464,0.000074066316,0.00008902532,0.0000857001,0.000021570402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199302,0.00030157715,0.00024565132,0.00023557294,0.00018756997,0.00030953862,0.00045619975,0.00025042088,0.0013281627],"category_scores_gemma":[0.00075130095,0.000081002625,0.00014909587,0.00014890732,0.00024464788,0.00025086655,0.00017694193,0.00021560995,0.0001533897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077701645,0.0003150822,0.0045107817,0.0005152995,0.000102925245,0.0005138854,0.00018902813,0.6888244,0.1772846,0.008352798,0.0015610788,0.11705307],"study_design_scores_gemma":[0.00007291895,0.001002379,0.0014020287,0.000010606938,0.000018164645,0.000046267694,0.000032240998,0.96773726,0.027665095,0.00056407484,0.0014399445,0.000008842404],"about_ca_topic_score_codex":0.00082741183,"about_ca_topic_score_gemma":0.0008439268,"teacher_disagreement_score":0.0013281627,"about_ca_system_score_codex":0.00015505849,"about_ca_system_score_gemma":0.0001839336,"threshold_uncertainty_score":0.0044431686},"labels":[],"label_agreement":null},{"id":"W4293240684","doi":"10.1049/rpg2.12474","title":"An adaptive virtual impedance fault current limiter for optimal protection coordination of islanded microgrids","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance; Limiter; Fault (geology); Fault current limiter; Computer science; Current (fluid); Control theory (sociology); Control engineering; Electric power system; Engineering; Electrical engineering; Telecommunications; Physics; Control (management); Power (physics)","score_opus":0.021178591279510585,"score_gpt":0.24852161807323186,"score_spread":0.2273430267937213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293240684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06944965,0.00012943195,0.9263045,0.00008202979,0.000030860632,0.00007686542,0.000025228921,0.0014765622,0.0024249384],"genre_scores_gemma":[0.93325466,0.00002748519,0.065712646,0.000023681516,0.000007883558,0.00004972328,0.000018746488,0.000021823344,0.00088334456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997993,0.000050501018,0.00001417484,0.000047226127,0.00006644403,0.000022357051],"domain_scores_gemma":[0.99955004,0.00016346616,0.00011735295,0.00004219858,0.00009925253,0.000027670389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049977866,0.00048440238,0.00039952417,0.0004707946,0.0002793912,0.0007418904,0.00080842746,0.00038342646,0.0015335382],"category_scores_gemma":[0.0013999062,0.0001607146,0.000144803,0.00020467429,0.0003389027,0.0004376733,0.0004645477,0.00045387828,0.0001941465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024673215,0.00010943036,0.0010185038,0.00007894642,0.000031110296,0.00010129886,0.00019912838,0.8067321,0.02088511,0.007179268,0.0011078103,0.16231056],"study_design_scores_gemma":[0.000015390893,0.00003949274,0.00007342144,0.0000032721794,0.0000041959997,0.000007896643,0.0000042144798,0.99721175,0.001908033,0.00036708216,0.00036245937,0.0000027451824],"about_ca_topic_score_codex":0.0032462273,"about_ca_topic_score_gemma":0.0030171173,"teacher_disagreement_score":0.0032462273,"about_ca_system_score_codex":0.00075028324,"about_ca_system_score_gemma":0.00054392207,"threshold_uncertainty_score":0.0064546466},"labels":[],"label_agreement":null},{"id":"W4298143196","doi":"10.1049/rpg2.12595","title":"Day‐ahead wind power ramp forecasting using an image‐based similarity search strategy","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of New Brunswick","funders":"Natural Resources Canada","keywords":"Wind power; Wind power forecasting; Probabilistic forecasting; Electric power system; Wind speed; Probabilistic logic; Computer science; Meteorology; Reliability engineering; Power (physics); Engineering; Artificial intelligence","score_opus":0.07015025476217301,"score_gpt":0.26980870971174264,"score_spread":0.19965845494956963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298143196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3918136,0.00023002358,0.60349786,0.00015548604,0.000061035018,0.00008048252,0.00009150138,0.00061057985,0.0034594145],"genre_scores_gemma":[0.9256493,0.00004646836,0.073169515,0.000043048814,0.000016332991,0.000029859024,0.00011257861,0.000015165117,0.00091771065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998412,0.000021538775,0.000010433168,0.000039398477,0.000060216957,0.00002715962],"domain_scores_gemma":[0.99973327,0.00008955919,0.00003812714,0.000020745681,0.000092161405,0.00002610122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002784493,0.000296602,0.00059195765,0.00056478963,0.0002096147,0.00043401818,0.0006439887,0.0005371297,0.00081477413],"category_scores_gemma":[0.0009985827,0.00016085825,0.0003669434,0.0004963015,0.00021247915,0.00049892545,0.00034415873,0.0003302585,0.00018279992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031455778,0.00020132482,0.0032233454,0.000043537555,0.00006252331,0.00015349104,0.000066580855,0.6999249,0.017396707,0.001969485,0.001516151,0.27512744],"study_design_scores_gemma":[0.0000029099583,0.000018958148,0.00031706123,6.494296e-7,0.0000017352061,0.000008659168,0.0000034771822,0.9987953,0.0007250368,0.00007601491,0.00004828821,0.0000019436945],"about_ca_topic_score_codex":0.013631668,"about_ca_topic_score_gemma":0.009242963,"teacher_disagreement_score":0.013631668,"about_ca_system_score_codex":0.0004244049,"about_ca_system_score_gemma":0.00081206055,"threshold_uncertainty_score":0.027104676},"labels":[],"label_agreement":null},{"id":"W4298143225","doi":"10.1049/rpg2.12597","title":"A post‐forecast weighing algorithm to improve wind power forecasting capabilities","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Fredericton; University of New Brunswick","funders":"Natural Resources Canada","keywords":"Wind power; Computer science; Wind power forecasting; Power (physics); Meteorology; Electric power system; Engineering; Electrical engineering; Geography","score_opus":0.012187184923545752,"score_gpt":0.19932166753795968,"score_spread":0.18713448261441393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298143225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12787963,0.000081118706,0.8681117,0.00007205853,0.00011032038,0.00010197083,0.00003510024,0.001915332,0.0016927549],"genre_scores_gemma":[0.62637925,0.000048862727,0.37060016,0.00004665436,0.000044611614,0.000093213515,0.000113692266,0.00011994711,0.00255364],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969923,0.000053174186,0.000026781425,0.000057639605,0.0001227441,0.000040383864],"domain_scores_gemma":[0.9990995,0.0003663563,0.000060255665,0.00008615567,0.00035754152,0.000030161455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083108427,0.0005534265,0.00040845407,0.00052635913,0.00024098177,0.0005755855,0.000635398,0.0005143662,0.0019394794],"category_scores_gemma":[0.0025429355,0.00019249051,0.0002309423,0.00033784704,0.00020529368,0.0006681214,0.00038558122,0.0005350209,0.0004842468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038119304,0.00036827332,0.0025358677,0.00005862545,0.000050214923,0.00006829587,0.000090780086,0.24082032,0.0661656,0.0023656823,0.0015097498,0.68558544],"study_design_scores_gemma":[0.0000119274355,0.00006342118,0.0004813246,0.0000017788385,0.0000049837404,0.000009467042,0.0000032026212,0.99179393,0.0071989573,0.0001171779,0.00031023793,0.0000035295416],"about_ca_topic_score_codex":0.0025211915,"about_ca_topic_score_gemma":0.0024056963,"teacher_disagreement_score":0.0025211915,"about_ca_system_score_codex":0.00026340905,"about_ca_system_score_gemma":0.0005663518,"threshold_uncertainty_score":0.006488204},"labels":[],"label_agreement":null},{"id":"W4298623091","doi":"10.1049/rpg2.12604","title":"Guest editorial: Biomass conversion for energy: Process intensification and economics","year":2022,"lang":"en","type":"editorial","venue":"IET Renewable Power Generation","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Renewable energy; Biogas; Biomass (ecology); Electricity; Environmental science; Renewable resource; Environmental economics; Waste management; Natural resource economics; Business; Engineering; Economics","score_opus":0.013409129860311652,"score_gpt":0.2697141016610035,"score_spread":0.25630497180069184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298623091","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031962012,0.008386987,0.000088732326,0.030531462,0.9585474,0.000010843035,0.00004051443,0.000036456222,0.002325622],"genre_scores_gemma":[0.00034651757,0.0068446477,0.000065911896,0.014661106,0.96719813,0.0000112700245,0.00003164768,0.000032251784,0.010808535],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974897,0.0002871259,0.00024913505,0.000361712,0.0014023973,0.00020995025],"domain_scores_gemma":[0.9924629,0.0024608038,0.00036993815,0.00019509016,0.0032465886,0.0012646746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037153384,0.0037214027,0.0028375078,0.0026957865,0.00210648,0.0068400316,0.0028947943,0.012965046,0.01679026],"category_scores_gemma":[0.010335802,0.00088255166,0.0021474517,0.0015823819,0.0017132349,0.0056371754,0.0012550827,0.018127413,0.014909227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026075662,0.000013428106,0.000012930838,0.00013087013,0.000007207845,0.00006428916,0.0000054773554,0.00002101873,0.000058867976,0.00029722103,0.99507326,0.0042893295],"study_design_scores_gemma":[0.000040119474,0.000022131033,0.00014660181,0.0002491739,0.000023019678,0.00016071284,0.000021877788,0.000095830386,0.0001018345,0.0008144573,0.9983125,0.000011779759],"about_ca_topic_score_codex":0.0013346996,"about_ca_topic_score_gemma":0.0030739827,"teacher_disagreement_score":0.01679026,"about_ca_system_score_codex":0.0026574514,"about_ca_system_score_gemma":0.002212622,"threshold_uncertainty_score":0.056169033},"labels":[],"label_agreement":null},{"id":"W4306761779","doi":"10.1049/rpg2.12612","title":"A new interleaved high step‐up soft switching converter with simple auxiliary circuit and reduced voltage stress","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Simple (philosophy); Voltage; Stress (linguistics); High voltage; Computer science; Electronic engineering; Electrical engineering; Control theory (sociology); Engineering","score_opus":0.009630311745306671,"score_gpt":0.19784314525885385,"score_spread":0.18821283351354717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306761779","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1702703,0.0009551554,0.7986856,0.0002114213,0.00024970146,0.00013152884,0.00012168318,0.0023618129,0.027012782],"genre_scores_gemma":[0.8982074,0.00026940476,0.09212955,0.00014637047,0.00006753192,0.000055016168,0.000094196774,0.000046599445,0.008983884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983275,0.00001567534,0.000009944478,0.000030937877,0.00009071616,0.00002003523],"domain_scores_gemma":[0.9999006,0.00001498856,0.000012648564,0.000021230715,0.000036398054,0.00001418972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012181176,0.0002542359,0.00036132045,0.0004927959,0.0002705217,0.00079635956,0.00081183383,0.00030450325,0.002263384],"category_scores_gemma":[0.00013049041,0.00021138252,0.0002921846,0.00048464254,0.00023306272,0.00054064096,0.00030936662,0.00056864717,0.00052561465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040126804,0.00027085296,0.0009514727,0.00034730628,0.00007356209,0.0006377276,0.00014281942,0.00826333,0.7155537,0.017359959,0.0016821083,0.25431588],"study_design_scores_gemma":[0.00029597298,0.0010953879,0.0038305183,0.000060451108,0.00020562658,0.0030972431,0.000087753084,0.38153192,0.5548756,0.009691895,0.04512867,0.00009890612],"about_ca_topic_score_codex":0.0002529021,"about_ca_topic_score_gemma":0.000525246,"teacher_disagreement_score":0.002263384,"about_ca_system_score_codex":0.00022059122,"about_ca_system_score_gemma":0.000287033,"threshold_uncertainty_score":0.0075718164},"labels":[],"label_agreement":null},{"id":"W4318198011","doi":"10.1049/rpg2.12676","title":"Grid interaction of multi‐VSC systems for renewable energy integration","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Voltage source; Control theory (sociology); Electric power system; Grid; Renewable energy; Control system; Computer science; Controller (irrigation); Power (physics); Engineering; Voltage; Control engineering; Electronic engineering; Control (management); Electrical engineering; Physics; Mathematics","score_opus":0.019665878557619473,"score_gpt":0.23072585113930213,"score_spread":0.21105997258168266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318198011","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2768642,0.00037269155,0.70333886,0.00015840825,0.00005764754,0.00007279552,0.000049367933,0.00041456483,0.018671472],"genre_scores_gemma":[0.99446255,0.000036913483,0.004722856,0.000008909206,0.000007024613,0.000017336562,0.000016057324,0.000006871999,0.0007214494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968946,0.000109525616,0.000014460821,0.000039610768,0.00011147023,0.000035539622],"domain_scores_gemma":[0.99973816,0.00010355654,0.000054226926,0.000022747876,0.00006539032,0.000015916085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028319564,0.0003581564,0.00040436102,0.00025131233,0.00035094641,0.0007187846,0.00037493356,0.0002912312,0.0023191296],"category_scores_gemma":[0.00059069804,0.00012794876,0.00028719672,0.00026660724,0.00023013909,0.00035673386,0.00054627884,0.00046461323,0.00018491904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020587373,0.00005626777,0.0019996914,0.000085121006,0.00006567537,0.0003022626,0.0000810681,0.934269,0.021568408,0.013337865,0.0006514586,0.027377414],"study_design_scores_gemma":[0.0000064248343,0.00006720329,0.0006135024,0.0000044893136,0.000012244325,0.000027636728,0.000015445306,0.9953851,0.0013723054,0.0019064988,0.0005852091,0.000003993031],"about_ca_topic_score_codex":0.0020840713,"about_ca_topic_score_gemma":0.0027405783,"teacher_disagreement_score":0.0023191296,"about_ca_system_score_codex":0.0003903273,"about_ca_system_score_gemma":0.00033667026,"threshold_uncertainty_score":0.00775826},"labels":[],"label_agreement":null},{"id":"W4323838259","doi":"10.1049/rpg2.12656","title":"Design of smart battery charging circuit via photovoltaic for hybrid electric vehicle","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Maximum power point tracking; Photovoltaic system; Battery (electricity); Buck converter; Maximum power principle; Computer science; Control theory (sociology); Electrical engineering; Electric vehicle; Voltage; Automotive engineering; Power (physics); Engineering; Inverter; Physics","score_opus":0.037947820925537404,"score_gpt":0.2549350529880262,"score_spread":0.21698723206248882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323838259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095823355,0.00058717,0.8743617,0.00037082567,0.00029095367,0.0001889136,0.00009741889,0.002015782,0.026263827],"genre_scores_gemma":[0.9509521,0.0001629975,0.042228483,0.000120319164,0.000032999065,0.00007404397,0.00004226344,0.000026995847,0.006359751],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999169,0.000011097743,0.0000035062421,0.00002161688,0.000036181376,0.000010628958],"domain_scores_gemma":[0.9999474,0.00000654162,0.0000060617567,0.000006172843,0.000029241724,0.0000045270926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006984486,0.0001656918,0.00022066841,0.00017503984,0.000263345,0.0003434154,0.00068265153,0.0004632527,0.0026850826],"category_scores_gemma":[0.000106190746,0.0001289037,0.0001904836,0.00014671458,0.00011921373,0.00026564914,0.00016877872,0.00016680126,0.0005388655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003220003,0.00017343549,0.0015113298,0.0005532236,0.00014273955,0.0006676692,0.00021753124,0.09415961,0.5292432,0.02193553,0.0068617943,0.34421197],"study_design_scores_gemma":[0.000113992275,0.0008504801,0.0021595398,0.000044214048,0.000087921915,0.00068634516,0.000083145205,0.8001673,0.1401965,0.0053274552,0.050238833,0.000044182598],"about_ca_topic_score_codex":0.0004511726,"about_ca_topic_score_gemma":0.00059027143,"teacher_disagreement_score":0.0026850826,"about_ca_system_score_codex":0.00026799666,"about_ca_system_score_gemma":0.00016882218,"threshold_uncertainty_score":0.00898248},"labels":[],"label_agreement":null},{"id":"W4323863593","doi":"10.1049/rpg2.12712","title":"Photovoltaic model parameters identification using an innovative optimization algorithm","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Convergence (economics); Computer science; Algorithm; Optimization algorithm; Mathematical optimization; Optimization problem; Mathematics; Engineering","score_opus":0.06193339735951193,"score_gpt":0.2983227707218704,"score_spread":0.2363893733623585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323863593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009892226,0.00006419876,0.9884419,0.000057180543,0.000011137842,0.000020777828,0.000026275908,0.00022675554,0.0012595267],"genre_scores_gemma":[0.4743465,0.00012415787,0.5218215,0.00013026483,0.000039088507,0.00034516596,0.00021535883,0.00012244147,0.0028554949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997372,0.00008401626,0.000016530945,0.00006982145,0.00006854148,0.000023884673],"domain_scores_gemma":[0.9996094,0.00021240136,0.000053760657,0.00003135048,0.0000831732,0.00000998873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000593872,0.00089919014,0.0007488514,0.00073506276,0.00035485002,0.00078251655,0.00073399063,0.0009912839,0.0013477466],"category_scores_gemma":[0.0013841558,0.00045285813,0.0008523153,0.0006076388,0.00041837234,0.00062316406,0.0006989111,0.00076689327,0.00035969188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002197088,0.0000205842,0.0006078948,0.000022004473,0.000033484917,0.000020454128,0.000017074799,0.96102625,0.0013558406,0.0025415176,0.00035081487,0.033982094],"study_design_scores_gemma":[0.0000027974997,0.000007511578,0.00005840304,0.000001717237,0.000002296528,0.0000044746016,0.0000018306409,0.99923325,0.00021387385,0.00034432684,0.00012776266,0.0000018785894],"about_ca_topic_score_codex":0.0038963768,"about_ca_topic_score_gemma":0.0027884834,"teacher_disagreement_score":0.0038963768,"about_ca_system_score_codex":0.00042915365,"about_ca_system_score_gemma":0.00088350836,"threshold_uncertainty_score":0.0077474117},"labels":[],"label_agreement":null},{"id":"W4381982978","doi":"10.1049/rpg2.12773","title":"Coordinated active and reactive power management for enhancing PV hosting capacity in distribution networks","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"AC power; Computer science; Control (management); Photovoltaics; Power (physics); Power control; Mathematical optimization; Control theory (sociology); Reliability engineering; Photovoltaic system; Control engineering; Engineering; Electrical engineering; Voltage; Mathematics; Artificial intelligence","score_opus":0.018097931568366317,"score_gpt":0.22148388055740076,"score_spread":0.20338594898903445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381982978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09416475,0.00021300983,0.8933356,0.00029084852,0.000029310411,0.000056344972,0.00010849141,0.00020419575,0.011597374],"genre_scores_gemma":[0.99336725,0.00006934311,0.005443462,0.000010690676,0.0000058911287,0.00002596206,0.000013420319,0.000008143189,0.0010558467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997451,0.00009993846,0.0000059343997,0.000045455145,0.000060421582,0.000043150565],"domain_scores_gemma":[0.9998147,0.000083912266,0.00004507166,0.000010957282,0.000032113017,0.000013369499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035034088,0.0005319995,0.00045345817,0.00020816078,0.00023664518,0.00086965034,0.00068043405,0.00046518754,0.0013243185],"category_scores_gemma":[0.0006079684,0.00028529426,0.0003497499,0.0003033578,0.00045748946,0.00065170287,0.00038312882,0.0005218981,0.00011489129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012703398,0.000008039977,0.00010011293,0.0000055691025,0.0000038179346,0.000014139427,0.0000060862926,0.9954562,0.000359734,0.0020281735,0.0000751482,0.001930283],"study_design_scores_gemma":[0.000002047267,0.000010226732,0.00003785737,8.6599135e-7,0.0000016666697,0.0000021693095,0.0000024732578,0.99922955,0.000088709865,0.00055925624,0.00006421493,9.610667e-7],"about_ca_topic_score_codex":0.0075526964,"about_ca_topic_score_gemma":0.0068316087,"teacher_disagreement_score":0.0075526964,"about_ca_system_score_codex":0.0008635309,"about_ca_system_score_gemma":0.0007293688,"threshold_uncertainty_score":0.01501745},"labels":[],"label_agreement":null},{"id":"W4382811170","doi":"10.1049/rpg2.12789","title":"A power quality‐based planning framework for flicker minimization of wind turbines in distribution network","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Iran National Science Foundation; National Science Foundation","keywords":"Flicker; Sizing; Wind power; Crossover; Minification; Computer science; Mathematical optimization; Renewable energy; Power (physics); Engineering; Electrical engineering; Mathematics; Artificial intelligence; Physics","score_opus":0.03178418524148421,"score_gpt":0.2941039474361116,"score_spread":0.26231976219462744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382811170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013131801,0.00029636774,0.9811508,0.00017593888,0.000020046178,0.00006482116,0.00007022782,0.00011025588,0.0049797865],"genre_scores_gemma":[0.8245923,0.0005176636,0.17077671,0.00006733194,0.000038762206,0.00023764373,0.00015181185,0.00006973253,0.0035481134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997156,0.00011032343,0.000009579477,0.000050573035,0.00006717791,0.00004670225],"domain_scores_gemma":[0.99967957,0.00016794667,0.000041639305,0.000010899972,0.000072385075,0.00002765896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009570938,0.0008831918,0.0008546729,0.00067929947,0.00038900948,0.0012721707,0.0010121284,0.0009224249,0.0025850858],"category_scores_gemma":[0.0013402464,0.0005961489,0.00051655876,0.0010565006,0.00058672705,0.0006662336,0.00071130454,0.0007491837,0.00016991679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066640623,0.000008351587,0.00007096865,0.000015702324,0.000006872816,0.000027599994,0.000011616646,0.99131095,0.00021060252,0.004070736,0.00017320535,0.0040868395],"study_design_scores_gemma":[0.0000031317124,0.0000056318,0.00002300683,0.0000029283842,0.000002340867,0.0000022551717,0.000004085146,0.99846256,0.00004653628,0.0013300052,0.00011643854,0.0000010787554],"about_ca_topic_score_codex":0.016978718,"about_ca_topic_score_gemma":0.014469248,"teacher_disagreement_score":0.016978718,"about_ca_system_score_codex":0.0015858728,"about_ca_system_score_gemma":0.0016785309,"threshold_uncertainty_score":0.033759773},"labels":[],"label_agreement":null},{"id":"W4383552443","doi":"10.1049/rpg2.12788","title":"HVDC grids stability enhancement through the integration of battery energy storage systems","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Voltage droop; Energy storage; Electrical engineering; Battery (electricity); Controller (irrigation); Electric power system; Power (physics); High-voltage direct current; Engineering; Voltage; Computer science; Direct current; Voltage source; Physics","score_opus":0.033330685322746086,"score_gpt":0.23984320246197344,"score_spread":0.20651251713922736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383552443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4300484,0.001190204,0.52606356,0.00023396847,0.00015143413,0.0001268844,0.00015393317,0.0024301962,0.03960135],"genre_scores_gemma":[0.9892426,0.0001282477,0.009168239,0.000018613355,0.00001669057,0.0000101677615,0.000025848789,0.000012076842,0.0013775402],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999455,0.000009089973,0.0000035739167,0.000014530836,0.000017940125,0.000009241347],"domain_scores_gemma":[0.9999459,0.00000616762,0.000008121151,0.0000090899075,0.000023980803,0.0000067531387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008161041,0.00028706065,0.00023181345,0.00017719483,0.00014902878,0.00043029513,0.00041172933,0.00016029358,0.0025914575],"category_scores_gemma":[0.00010376997,0.000081445505,0.00016897662,0.00016764508,0.00013759623,0.00047387552,0.000354851,0.000252275,0.0003588625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085018476,0.0004938322,0.0038823362,0.00038286072,0.00013541758,0.0009668448,0.00015044239,0.19686174,0.46800858,0.024350828,0.0036039897,0.3003131],"study_design_scores_gemma":[0.000059073594,0.0006137082,0.0023577614,0.000049257636,0.00007862539,0.00033361948,0.000057284822,0.88468313,0.09696426,0.0042711333,0.010508946,0.00002316181],"about_ca_topic_score_codex":0.00048104086,"about_ca_topic_score_gemma":0.0007198684,"teacher_disagreement_score":0.0025914575,"about_ca_system_score_codex":0.00014792391,"about_ca_system_score_gemma":0.0001527845,"threshold_uncertainty_score":0.008669317},"labels":[],"label_agreement":null},{"id":"W4383737471","doi":"10.1049/rpg2.12759","title":"Guest editorial: Upscaling industrial electricity innovations to deliver net‐zero targets","year":2023,"lang":"en","type":"editorial","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Electricity; Electric power system; Distributed generation; Computer science; Wind power; Engineering; Reliability engineering; Electrical engineering; Power (physics)","score_opus":0.013720482583011695,"score_gpt":0.22412619133302886,"score_spread":0.21040570875001716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383737471","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026932723,0.0048217294,0.0006314887,0.02583621,0.96333486,0.000026185264,0.00011065794,0.00016913241,0.0048003164],"genre_scores_gemma":[0.0022574067,0.0045815846,0.00022434621,0.013747105,0.9601225,0.000018984341,0.000080499725,0.00012807437,0.018839441],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998044,0.00019130568,0.00017514844,0.00037562865,0.0009919037,0.0002219733],"domain_scores_gemma":[0.9935994,0.0019842605,0.00039316673,0.00023568595,0.0028401716,0.0009473014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026558002,0.0020404332,0.0014759423,0.0016504383,0.0012529155,0.0053624013,0.002033487,0.0066894256,0.024443252],"category_scores_gemma":[0.0070064985,0.00054840994,0.0013999642,0.000686316,0.0011900687,0.0029143642,0.0010665577,0.008996718,0.012180327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009362448,0.000035298533,0.00007909667,0.00025382338,0.000018294864,0.00017915835,0.000016191467,0.00011380952,0.00033469958,0.0007663882,0.98730564,0.010803894],"study_design_scores_gemma":[0.000065299864,0.00012089846,0.00038133728,0.00022101827,0.000041831547,0.00027402616,0.000050763036,0.00048471216,0.00082011305,0.0014374489,0.9960813,0.00002124765],"about_ca_topic_score_codex":0.0003298073,"about_ca_topic_score_gemma":0.00069507246,"teacher_disagreement_score":0.024443252,"about_ca_system_score_codex":0.0010062974,"about_ca_system_score_gemma":0.00094753684,"threshold_uncertainty_score":0.08177078},"labels":[],"label_agreement":null},{"id":"W4393118187","doi":"10.1049/rpg2.12941","title":"A low voltage microgrid protection scheme using digital instrument transformers","year":2024,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microgrid; Transformer; Scheme (mathematics); Electrical engineering; Current transformer; Computer science; Voltage; Electronic engineering; Low voltage; Engineering; Mathematics","score_opus":0.017773452988975688,"score_gpt":0.21843432095810064,"score_spread":0.20066086796912497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393118187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45308408,0.00041522863,0.5290078,0.00031834588,0.00010572765,0.00018623007,0.00015356137,0.0046245125,0.012104515],"genre_scores_gemma":[0.99364156,0.000025956278,0.005841773,0.00001484114,0.0000048216557,0.000005953921,0.000014435814,0.000006494035,0.000444088],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998147,0.000048554088,0.000015278934,0.000046434627,0.000052576193,0.000022532317],"domain_scores_gemma":[0.9997956,0.0000308683,0.000048866485,0.00007102151,0.000038906404,0.000014834452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015435205,0.00027431682,0.00020440575,0.00034291632,0.00025326526,0.00052159105,0.00063005695,0.0002441432,0.0017548501],"category_scores_gemma":[0.00029639056,0.0000852876,0.00015543212,0.00023490546,0.00031500476,0.00048951403,0.0003744467,0.00025638897,0.0002940334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018316095,0.0002833163,0.0058622663,0.0005685689,0.00010189616,0.0007886871,0.0005414486,0.07455946,0.5823137,0.020117104,0.0033236837,0.30970815],"study_design_scores_gemma":[0.0003444154,0.0019821618,0.0052807187,0.000081757236,0.00018919169,0.0016146281,0.0001322244,0.5373899,0.42735198,0.007855726,0.017716222,0.000061014332],"about_ca_topic_score_codex":0.0006315865,"about_ca_topic_score_gemma":0.00050825824,"teacher_disagreement_score":0.0017548501,"about_ca_system_score_codex":0.00042662612,"about_ca_system_score_gemma":0.00023089738,"threshold_uncertainty_score":0.0058705807},"labels":[],"label_agreement":null},{"id":"W4403072239","doi":"10.1049/rpg2.13088","title":"Exploiting the determinant factors on the available flexibility area of ADNs at TSO‐DSO interface","year":2024,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Science Foundation Ireland","keywords":"Flexibility (engineering); Interface (matter); Computer science; Embedded system; Computer hardware; Operating system; Mathematics; Statistics","score_opus":0.07255618620120004,"score_gpt":0.2662489636754837,"score_spread":0.19369277747428365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403072239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6830441,0.0002356487,0.2933331,0.00035764105,0.000028334951,0.00004609012,0.00020390059,0.000096215095,0.022654936],"genre_scores_gemma":[0.9964553,0.00003358259,0.0028726617,0.000008247799,0.0000023827922,0.000008248381,0.000021784941,0.000005935706,0.0005918111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983406,0.00006494308,0.000004429394,0.000021710412,0.000038386643,0.000036460948],"domain_scores_gemma":[0.99945813,0.00035860896,0.0000703658,0.00002750796,0.000049931477,0.00003536194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004727634,0.00040212454,0.00026494949,0.0002805933,0.00028385114,0.00072399667,0.00036043057,0.00031797015,0.0019888112],"category_scores_gemma":[0.001356823,0.00024162988,0.0003721666,0.00041246158,0.00038677937,0.0007937957,0.0004643429,0.00047228302,0.00007524734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020054198,0.000012619831,0.0013845324,0.000012106386,0.0000071343948,0.00004693153,0.000009866735,0.99210817,0.0007767397,0.0030514826,0.00010812225,0.002462134],"study_design_scores_gemma":[0.0000013398387,0.000010879176,0.00047512355,0.0000027410472,0.0000032592582,0.000008526939,0.000015860449,0.9979455,0.00025368878,0.001167039,0.0001135664,0.0000024659864],"about_ca_topic_score_codex":0.007590103,"about_ca_topic_score_gemma":0.0077481833,"teacher_disagreement_score":0.007590103,"about_ca_system_score_codex":0.00057473383,"about_ca_system_score_gemma":0.00048638266,"threshold_uncertainty_score":0.015091896},"labels":[],"label_agreement":null},{"id":"W4403566810","doi":"10.1049/rpg2.13136","title":"Integration and control of grid‐scale battery energy storage systems: challenges and opportunities","year":2024,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Computer science; Reliability engineering; Energy storage; Electric power system; Grid; Risk analysis (engineering); Reliability (semiconductor); Environmental economics; Engineering; Electrical engineering; Power (physics); Business","score_opus":0.017497088798025664,"score_gpt":0.18742442551125782,"score_spread":0.16992733671323215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403566810","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14959086,0.08656749,0.6694655,0.011553433,0.010314486,0.00030822144,0.00048399597,0.002503676,0.06921233],"genre_scores_gemma":[0.9318253,0.029746793,0.023444803,0.00043473445,0.0031972632,0.0001660681,0.0003029086,0.00014685231,0.010735347],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977463,0.000035179863,0.000019498384,0.00004077531,0.000108428285,0.000021388742],"domain_scores_gemma":[0.999701,0.00006662353,0.00003700269,0.0000282407,0.00013224661,0.00003496162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005998762,0.00035595795,0.00056064315,0.00016827174,0.0003121262,0.0021255163,0.00066257303,0.0005375102,0.0025699781],"category_scores_gemma":[0.00080293056,0.00018974926,0.0002035554,0.00033816267,0.00035707717,0.0014645661,0.0008459903,0.00073453225,0.0008125458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045339527,0.00027251014,0.0028997532,0.0017392288,0.00012012793,0.0007545962,0.0005405357,0.17612313,0.060671184,0.061628565,0.04582267,0.64897436],"study_design_scores_gemma":[0.000058792273,0.0004640507,0.0023782745,0.00021305164,0.000047708705,0.00032331081,0.00029721425,0.852195,0.011209729,0.029552322,0.1031951,0.00006540713],"about_ca_topic_score_codex":0.0005370161,"about_ca_topic_score_gemma":0.00051231746,"teacher_disagreement_score":0.0025699781,"about_ca_system_score_codex":0.00027056478,"about_ca_system_score_gemma":0.0004304098,"threshold_uncertainty_score":0.008597434},"labels":[],"label_agreement":null},{"id":"W4409769468","doi":"10.1049/rpg2.70047","title":"Robust Dynamic State Estimation of Power System With Measurement Outliers Based on Parameterized Analytical Cubature Kalman Filter","year":2025,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Kalman filter; Parameterized complexity; Outlier; Computer science; Control theory (sociology); Moving horizon estimation; Fast Kalman filter; Electric power system; Ensemble Kalman filter; State (computer science); Extended Kalman filter; Mathematics; Algorithm; Power (physics); Artificial intelligence; Physics","score_opus":0.0125231169632691,"score_gpt":0.2111861508858365,"score_spread":0.1986630339225674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409769468","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019693231,0.00011784691,0.9789851,0.0000592888,0.000015850828,0.000016518434,0.000032374137,0.0003321159,0.0007477737],"genre_scores_gemma":[0.9197822,0.00024460457,0.07828208,0.00003764374,0.000020971527,0.00007598105,0.00016255668,0.0000584775,0.0013355371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995906,0.00012520047,0.000023761108,0.00009252867,0.00012460408,0.000043404387],"domain_scores_gemma":[0.9990814,0.0004238881,0.00015860166,0.00007199434,0.00024896636,0.000015160549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007999994,0.0005746955,0.0009115023,0.00040411996,0.00035169936,0.000792958,0.00059954094,0.0004137174,0.00079779315],"category_scores_gemma":[0.0028474648,0.0002967205,0.00035356902,0.00054362824,0.00036416453,0.0007957739,0.0004741462,0.00067488506,0.00017157008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006644766,0.000016856096,0.00081549364,0.000046438756,0.000031509986,0.00004126238,0.000053394233,0.9443236,0.0036327406,0.0043039774,0.000472752,0.04619551],"study_design_scores_gemma":[0.0000012600558,0.000006481219,0.00008676573,0.0000016541117,0.0000019134561,0.0000048402844,0.0000022234594,0.99909246,0.00040479776,0.00028167834,0.00011351221,0.0000024435976],"about_ca_topic_score_codex":0.01152388,"about_ca_topic_score_gemma":0.005935744,"teacher_disagreement_score":0.01152388,"about_ca_system_score_codex":0.00055438135,"about_ca_system_score_gemma":0.00096790073,"threshold_uncertainty_score":0.022913575},"labels":[],"label_agreement":null},{"id":"W4409862573","doi":"10.1049/rpg2.70052","title":"Recurrent Neural Network (RNN) Based Algorithm in Multi‐Level Control of an Islanded DC Microgrid Connected to Variable Communication Networks","year":2025,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Microgrid; Computer science; Artificial neural network; Recurrent neural network; Variable (mathematics); Control (management); Algorithm; Control theory (sociology); Artificial intelligence; Mathematics","score_opus":0.011885484611915138,"score_gpt":0.22641858006904253,"score_spread":0.2145330954571274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409862573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2249406,0.00054219086,0.75992405,0.00055834703,0.0001259941,0.000096890886,0.000057129655,0.00077039766,0.012984385],"genre_scores_gemma":[0.9884221,0.000050273742,0.010018468,0.000030555293,0.000008150827,0.00003133071,0.000015233253,0.000008588421,0.001415197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983263,0.000049778137,0.00001059101,0.00004790208,0.0000319244,0.000027146285],"domain_scores_gemma":[0.9997687,0.00009597438,0.00003961587,0.000012461551,0.00007042224,0.000012865022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005563717,0.0005378731,0.00045751326,0.00021439146,0.00036103273,0.0005995527,0.00053801946,0.00060957304,0.0010699648],"category_scores_gemma":[0.0007322849,0.00017857838,0.00030667402,0.00019355834,0.00039426316,0.00025711404,0.0003988329,0.00047914396,0.00009145606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063615924,0.000019109766,0.0003733528,0.000031748637,0.00002450244,0.0000710976,0.00003577645,0.98322004,0.0018526413,0.0013934155,0.00031532935,0.012599421],"study_design_scores_gemma":[0.0000019853576,0.000010989714,0.00003214207,8.9339306e-7,0.0000022097988,0.0000019481683,0.0000017942166,0.9997328,0.00011016919,0.00007042508,0.00003382534,9.4893187e-7],"about_ca_topic_score_codex":0.014918902,"about_ca_topic_score_gemma":0.008194367,"teacher_disagreement_score":0.014918902,"about_ca_system_score_codex":0.000641879,"about_ca_system_score_gemma":0.00046111946,"threshold_uncertainty_score":0.0296641},"labels":[],"label_agreement":null},{"id":"W4412674035","doi":"10.1049/rpg2.70108","title":"Renewable Energy Integration into Industrial and Residential Buildings: A Study Across Urban, Rural, and Coastal Areas","year":2025,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Renewable energy; Geography; Environmental planning; Environmental science; Architectural engineering; Engineering","score_opus":0.00968721038346899,"score_gpt":0.23196679909342252,"score_spread":0.22227958870995354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412674035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996817,0.000016579474,0.000054352207,0.000005287674,3.2108653e-7,0.000003502056,0.000018019931,7.3898764e-7,0.0002195476],"genre_scores_gemma":[0.9996861,0.000045282562,0.000081833015,0.0000051654793,0.0000012458946,0.0000035906087,0.000036966343,8.420118e-7,0.00013898603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980444,0.00005842634,0.000011096304,0.000037348625,0.00004418136,0.000044520068],"domain_scores_gemma":[0.9995493,0.0001418565,0.00010665625,0.000041613876,0.00010894318,0.000051567524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030984802,0.00020913,0.00023135,0.00052617304,0.00050119363,0.00051722885,0.00028565736,0.0003141602,0.0005818348],"category_scores_gemma":[0.00050248083,0.00017169902,0.0004771695,0.001415996,0.0002902292,0.00041084993,0.00039010134,0.0002528992,0.0001560944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024645994,0.0010172132,0.96507007,0.000096084,0.00019687087,0.0017260978,0.0027729305,0.008661658,0.0049931007,0.00042857035,0.00025294637,0.014537898],"study_design_scores_gemma":[0.000013657203,0.00051972404,0.97977304,0.000015700482,0.00007935002,0.00042536284,0.009924165,0.0071611134,0.0010795967,0.00010139087,0.0008902422,0.000016631242],"about_ca_topic_score_codex":0.016939495,"about_ca_topic_score_gemma":0.027744161,"teacher_disagreement_score":0.016939495,"about_ca_system_score_codex":0.0005117235,"about_ca_system_score_gemma":0.0002543588,"threshold_uncertainty_score":0.03368181},"labels":[],"label_agreement":null},{"id":"W4413045253","doi":"10.1049/rpg2.70117","title":"Offshore Energy and Storage 2023 Malta ‐ Sea Opportunity","year":2025,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Submarine pipeline; Environmental science; Energy storage; Marine engineering; Oceanography; Petroleum engineering; Environmental protection; Engineering; Geology; Physics","score_opus":0.010971834457951371,"score_gpt":0.211683341625806,"score_spread":0.20071150716785463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413045253","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009020343,0.10984512,0.006940346,0.1947767,0.1814832,0.00036916733,0.0037172849,0.001473944,0.4923739],"genre_scores_gemma":[0.017478151,0.0347417,0.0012581737,0.005972379,0.012195405,0.00008527327,0.0013802524,0.0003692479,0.92651945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990049,0.000060745908,0.000034909997,0.00006848447,0.00071591773,0.00011501062],"domain_scores_gemma":[0.9989102,0.00007111734,0.00006659775,0.00007569123,0.0005858135,0.0002906208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193609,0.00070348993,0.0003330961,0.0011020241,0.0013095544,0.00622376,0.0007240208,0.0022329437,0.07354693],"category_scores_gemma":[0.0017801176,0.0002709794,0.00042779493,0.0009067727,0.0006140481,0.0021183325,0.0023676914,0.001502312,0.031274393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006287309,0.000020819634,0.0002766701,0.00029575196,0.000012288529,0.00022532861,0.0000899292,0.00027548714,0.002300772,0.01904168,0.89360356,0.08379484],"study_design_scores_gemma":[0.0000014621735,0.0000061664095,0.00018494889,0.00006251626,0.0000015320275,0.000036548412,0.0000404676,0.000067544126,0.00036345268,0.0010160721,0.9982158,0.0000036535462],"about_ca_topic_score_codex":0.0061693746,"about_ca_topic_score_gemma":0.018287767,"teacher_disagreement_score":0.07354693,"about_ca_system_score_codex":0.0043072784,"about_ca_system_score_gemma":0.0042588455,"threshold_uncertainty_score":0.24603897},"labels":[],"label_agreement":null}]}