{"meta":{"query_hash":"1e11f0c1c69f","filters":{"venue":"IEEE Power Engineering Society General Meeting, 2005"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"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/1e11f0c1c69f","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Power+Engineering+Society+General+Meeting%2C+2005"},"results":[{"id":"W1536700515","doi":"10.1109/pes.2005.1489582","title":"An overview of the operation of Ontario's electricity market","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Electric Power System Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electricity market; Electricity; Business; Energy market; Industrial organization; Environmental economics; Economics; Engineering; Electrical engineering","score_opus":0.008817326617782364,"score_gpt":0.21843344019962613,"score_spread":0.20961611358184376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536700515","genre_codex":"other","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":[0.05749219,0.029072661,0.010514182,0.0053530303,0.0002235826,0.0003311444,0.00690417,0.00034810897,0.8897609],"genre_scores_gemma":[0.6195812,0.06637852,0.013677089,0.0006375328,0.00042475684,0.00015781503,0.004621563,0.00019619093,0.29432535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909675,0.000051019466,0.000029205481,0.00005113242,0.00055729965,0.0002146249],"domain_scores_gemma":[0.9996146,0.000033487453,0.000047937512,0.000019082869,0.00022102353,0.00006385231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041709805,0.00042064258,0.00020043385,0.0022397842,0.0021473465,0.004100669,0.00067024253,0.0005625635,0.011669278],"category_scores_gemma":[0.0007625703,0.0003122432,0.00023610407,0.005233933,0.00097538426,0.0015001913,0.00053147523,0.00031248023,0.0011330681],"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":[0.00023921036,0.00009450258,0.033297125,0.0009591703,0.00005875106,0.0014661246,0.0026627237,0.019766709,0.004028916,0.43816343,0.20728871,0.2919746],"study_design_scores_gemma":[0.00001599499,0.000035228448,0.04061358,0.0001741981,0.000017498356,0.00025567954,0.0008848352,0.007397328,0.00042362988,0.012182903,0.93794125,0.000057896625],"about_ca_topic_score_codex":0.9384992,"about_ca_topic_score_gemma":0.96204555,"teacher_disagreement_score":0.061500788,"about_ca_system_score_codex":0.038551316,"about_ca_system_score_gemma":0.022538234,"threshold_uncertainty_score":0.2797107},"labels":[],"label_agreement":null},{"id":"W1565293882","doi":"10.1109/pes.2005.1489099","title":"New performance measures for transmission stations","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Reliability and Maintenance","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":"Hydro One (Canada)","funders":"","keywords":"Unavailability; Transmission (telecommunications); Computer science; Ranking (information retrieval); Reliability engineering; Asset management; Reliability (semiconductor); Transfer (computing); Overhead (engineering); Engineering; Telecommunications; Business; Finance","score_opus":0.007024797996865646,"score_gpt":0.20515620276727384,"score_spread":0.1981314047704082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565293882","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":[0.08862078,0.0065997946,0.8125485,0.0013210343,0.0013084821,0.00081855076,0.005083164,0.002753915,0.08094572],"genre_scores_gemma":[0.7252147,0.0028584325,0.24711034,0.00037819427,0.00088740955,0.00091608946,0.006335855,0.00041781442,0.015881082],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9898141,0.0021108743,0.0010230623,0.0010955652,0.005489598,0.0004669136],"domain_scores_gemma":[0.9811545,0.0060937474,0.0037530942,0.0016591105,0.006822786,0.0005167291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067003523,0.0019700627,0.0008008601,0.007937322,0.000798725,0.0030286424,0.0015590941,0.0011852453,0.0048688217],"category_scores_gemma":[0.023135891,0.00034590552,0.0011646149,0.0071694283,0.0009975729,0.00590188,0.0015601038,0.0020612883,0.0017402454],"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":[0.000670847,0.00070662936,0.0753453,0.0013859501,0.00047073996,0.0002927255,0.0014764327,0.13177092,0.012890116,0.14504403,0.032746058,0.5972003],"study_design_scores_gemma":[0.00016283337,0.0041740024,0.15156057,0.0009776172,0.00058163964,0.0018394577,0.0035711036,0.40424448,0.03778981,0.09829027,0.29602015,0.00078811694],"about_ca_topic_score_codex":0.0030340166,"about_ca_topic_score_gemma":0.001835846,"teacher_disagreement_score":0.007937322,"about_ca_system_score_codex":0.002330508,"about_ca_system_score_gemma":0.0009622863,"threshold_uncertainty_score":0.03543526},"labels":[],"label_agreement":null},{"id":"W1576454826","doi":"10.1109/pes.2005.1489552","title":"Complementarity-based models for financial transmission rights","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Electric Power System Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Complementarity (molecular biology); Computer science; Mathematical optimization; Financial market; Microeconomics; Economics; Econometrics; Finance; Mathematics","score_opus":0.007900170734737802,"score_gpt":0.20831189783758042,"score_spread":0.2004117271028426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576454826","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":[0.048068125,0.0011491296,0.8510182,0.0027009146,0.00014868,0.000107189604,0.0004942324,0.00015045957,0.096163034],"genre_scores_gemma":[0.92631584,0.001129641,0.02839036,0.00036521445,0.00012333556,0.00028667488,0.00028689968,0.00006003115,0.043041997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992562,0.00031252953,0.0000184212,0.00007638805,0.00018501212,0.00015137505],"domain_scores_gemma":[0.99892384,0.00066532986,0.00013742642,0.00006166434,0.00012993936,0.000081746286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012183553,0.000772189,0.00079133274,0.00084470754,0.0008491161,0.001928495,0.001543969,0.0019742798,0.0138798775],"category_scores_gemma":[0.0028165637,0.00047922143,0.001092866,0.0009551252,0.0021303238,0.0028063287,0.0013215861,0.0017309149,0.00074748526],"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":[0.000012971603,0.000013848211,0.000087330525,0.00001896425,0.000008229274,0.000056107565,0.000048075814,0.348479,0.00018071129,0.64901465,0.0008256686,0.0012543695],"study_design_scores_gemma":[0.000016546308,0.000012666765,0.000061144936,0.000008860664,0.0000047470794,0.000023244902,0.000028119386,0.74326974,0.000059528003,0.2544745,0.0020301682,0.000010763921],"about_ca_topic_score_codex":0.010789808,"about_ca_topic_score_gemma":0.0072132465,"teacher_disagreement_score":0.0138798775,"about_ca_system_score_codex":0.0024780321,"about_ca_system_score_gemma":0.0013316714,"threshold_uncertainty_score":0.046432793},"labels":[],"label_agreement":null},{"id":"W1627419720","doi":"10.1109/pes.2005.1489395","title":"The effect of dynamic security constraints on the locational marginal prices","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":7,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Lagrange multiplier; Mathematical optimization; Computer science; Electric power system; Constraint (computer-aided design); Node (physics); Marginal cost; Transient (computer programming); Control theory (sociology); Power (physics); Mathematics; Engineering; Economics","score_opus":0.0027889521950227748,"score_gpt":0.20019310097336462,"score_spread":0.19740414877834184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1627419720","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":[0.7139977,0.000956997,0.21443792,0.0027479297,0.00013469493,0.00009879484,0.0005170054,0.00022254845,0.06688627],"genre_scores_gemma":[0.99528766,0.00013642813,0.003277148,0.00003955542,0.000011680823,0.000012380098,0.0000248611,0.000028248716,0.0011820819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987852,0.0005846959,0.000043751937,0.00011491988,0.00023311513,0.00023835921],"domain_scores_gemma":[0.9839977,0.012429337,0.0016409204,0.00067043916,0.00090993225,0.00035162873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023849064,0.0007131039,0.0007360967,0.00035298234,0.00059117086,0.0026818386,0.0009916697,0.0009514889,0.00758727],"category_scores_gemma":[0.02344805,0.00080582703,0.00049798994,0.00057882443,0.00165638,0.0042987387,0.00118769,0.0020137804,0.00033352],"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":[0.0002721164,0.00006127494,0.0020672702,0.00008759243,0.000035610097,0.0005277331,0.00011338935,0.8778638,0.0030643623,0.101646855,0.0010896571,0.013170216],"study_design_scores_gemma":[0.000103136,0.0002844861,0.0037932156,0.00003606086,0.0000571754,0.00028093805,0.0003028794,0.8945295,0.00396036,0.09450876,0.0020673864,0.000076114324],"about_ca_topic_score_codex":0.0054014665,"about_ca_topic_score_gemma":0.0038120796,"teacher_disagreement_score":0.00758727,"about_ca_system_score_codex":0.0016335088,"about_ca_system_score_gemma":0.0013593031,"threshold_uncertainty_score":0.025381982},"labels":[],"label_agreement":null},{"id":"W1645716823","doi":"10.1109/pes.2005.1489737","title":"Optimal power flow based loadability assessment with detailed complementarity model for synchronous generators","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Power flow; Limit (mathematics); Complementarity (molecular biology); AC power; Computer science; Operating point; Voltage; Electric power system; Mathematical optimization; Mathematics; Power (physics); Engineering; Physics; Electronic engineering; Electrical engineering; Control (management)","score_opus":0.008503141646060537,"score_gpt":0.22849675456402888,"score_spread":0.21999361291796835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645716823","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":[0.013839547,0.00006534359,0.9779748,0.00009958283,0.000010021538,0.000045074627,0.000071332535,0.000094240335,0.007800054],"genre_scores_gemma":[0.9277875,0.00022064628,0.06464762,0.00008249928,0.00002458912,0.00025529132,0.00018290737,0.00007406749,0.0067249658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997588,0.00008830945,0.000006028631,0.00002937578,0.000081512204,0.000035967598],"domain_scores_gemma":[0.99969006,0.00018964178,0.000037724963,0.000017111877,0.00004703916,0.000018395835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005039107,0.00078328646,0.00084128446,0.00062965177,0.00035038815,0.000876712,0.0007406866,0.00071514177,0.0030454437],"category_scores_gemma":[0.0012474396,0.0005709825,0.0007041835,0.0005587246,0.0008169596,0.0013917555,0.00075536245,0.0007191316,0.00028070566],"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":[0.000006292989,0.000005443953,0.00003266748,0.0000072558587,0.000003124032,0.00001191567,0.0000073693564,0.98965305,0.00023606453,0.008479537,0.00010678801,0.0014505748],"study_design_scores_gemma":[0.0000014518073,0.000004037385,0.000016189633,9.691655e-7,9.0217094e-7,0.0000012833115,0.0000011680851,0.99630284,0.00006399473,0.0035217272,0.00008416034,0.0000013464735],"about_ca_topic_score_codex":0.009848261,"about_ca_topic_score_gemma":0.0064366898,"teacher_disagreement_score":0.009848261,"about_ca_system_score_codex":0.0011534925,"about_ca_system_score_gemma":0.0011494949,"threshold_uncertainty_score":0.019581914},"labels":[],"label_agreement":null},{"id":"W1693283318","doi":"10.1109/pes.2005.1489218","title":"Intentional islanding of distributed generation","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Islanding Detection in Power 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":"University of Waterloo","funders":"","keywords":"Islanding; Reliability (semiconductor); Distributed generation; Inverter; Computer science; Voltage; Automatic frequency control; Control (management); Event (particle physics); Interface (matter); Reliability engineering; Engineering; Electrical engineering; Telecommunications; Power (physics); Renewable energy","score_opus":0.007672473127444134,"score_gpt":0.20633543658641296,"score_spread":0.19866296345896883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1693283318","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":[0.12489588,0.0015412288,0.8222362,0.0002674186,0.00023940428,0.00005882637,0.00007769169,0.0012067975,0.04947655],"genre_scores_gemma":[0.9808245,0.00075694965,0.014200286,0.0000636203,0.00004453114,0.000017015424,0.000048303995,0.00003422246,0.004010635],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999083,0.000014775647,0.0000055228993,0.00002054583,0.00003430072,0.000016513935],"domain_scores_gemma":[0.99986494,0.000039031638,0.000020849913,0.00004065904,0.00002249909,0.000011938652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007434643,0.00021942532,0.000187031,0.00017313953,0.00017753968,0.00047666783,0.0003264423,0.00023347019,0.0009989329],"category_scores_gemma":[0.00035689952,0.00007498997,0.00018561895,0.00014568868,0.00037206052,0.0004787066,0.00050609536,0.00026537143,0.00018080109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026186035,0.00010410296,0.0048126783,0.0004255548,0.00009881437,0.001584287,0.00041371697,0.11957834,0.19363214,0.23199677,0.005119214,0.4419725],"study_design_scores_gemma":[0.000051063056,0.0005031629,0.0049558375,0.00008484856,0.000122032754,0.0018511848,0.00017238481,0.6979447,0.1317366,0.10300086,0.0595238,0.00005348041],"about_ca_topic_score_codex":0.00032817194,"about_ca_topic_score_gemma":0.0005372111,"teacher_disagreement_score":0.0009989329,"about_ca_system_score_codex":0.00012908649,"about_ca_system_score_gemma":0.00013088457,"threshold_uncertainty_score":0.003341794},"labels":[],"label_agreement":null},{"id":"W1785722747","doi":"10.1109/pes.2005.1489156","title":"A nonlinear control approach to increase power oscillations damping by means of the SSSC","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","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":"Queen's University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Capacitor; Affine transformation; Linearization; Feedback linearization; Controller (irrigation); Multivariable calculus; Computer science; Voltage; Control engineering; Mathematics; Engineering; Physics; Control (management)","score_opus":0.004538694720915028,"score_gpt":0.19112504825781226,"score_spread":0.18658635353689723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1785722747","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":[0.025329512,0.00022058118,0.96536624,0.00020907681,0.00007958245,0.000050144274,0.000031027514,0.00052924914,0.008184608],"genre_scores_gemma":[0.93689305,0.00035655103,0.057333224,0.00007413808,0.000064954875,0.000068067,0.000039940634,0.000027057189,0.005142923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999298,0.000016790373,0.0000057756993,0.000014416429,0.000028377712,0.000004872322],"domain_scores_gemma":[0.99990714,0.000024358478,0.000021615679,0.000013651546,0.00002823785,0.000004966796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014982768,0.00041492007,0.00020350225,0.00023010268,0.00019830366,0.00027303072,0.00040613153,0.00021934729,0.0021951422],"category_scores_gemma":[0.00031696318,0.00008228346,0.00025392315,0.00021156679,0.00034904806,0.0003383237,0.00032755962,0.00033129158,0.00024039474],"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":[0.00017436802,0.00018302066,0.00094956934,0.000570651,0.00007604581,0.00032044103,0.00027127672,0.49112743,0.19782048,0.05566277,0.0025547284,0.25028914],"study_design_scores_gemma":[0.000032448042,0.00048515727,0.0003988128,0.000017668295,0.00002829785,0.00010804766,0.000021291882,0.9717529,0.016035855,0.0048858044,0.0062212995,0.000012488378],"about_ca_topic_score_codex":0.0010024556,"about_ca_topic_score_gemma":0.0014301384,"teacher_disagreement_score":0.0021951422,"about_ca_system_score_codex":0.00015276119,"about_ca_system_score_gemma":0.00022813899,"threshold_uncertainty_score":0.0073435307},"labels":[],"label_agreement":null},{"id":"W1847163448","doi":"10.1109/pes.2005.1489347","title":"Multi-interval optimization for real-time power system scheduling in the ontario electricity market","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Electric Power System Optimization","field":"Engineering","cited_by":16,"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":"Economic dispatch; Scheduling (production processes); Computer science; Operator (biology); Interval (graph theory); Electricity; Electricity market; Electric power system; Power system simulation; Operations research; Real-time computing; Mathematical optimization; Operations management; Power (physics); Engineering; Electrical engineering","score_opus":0.006059586496709516,"score_gpt":0.20148440079941146,"score_spread":0.19542481430270195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1847163448","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57707834,0.001165843,0.3996367,0.00087067595,0.00008515237,0.00016024006,0.0005430755,0.00049639674,0.019963471],"genre_scores_gemma":[0.9751746,0.00014568352,0.022504797,0.000023367475,0.000017048242,0.00004433158,0.000120318546,0.0000558434,0.0019139897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996611,0.00012408987,0.0000117063555,0.00003743848,0.000105874315,0.000059895137],"domain_scores_gemma":[0.99962974,0.00020496282,0.00005746042,0.000010899626,0.00006702343,0.000030006508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008387559,0.00048509776,0.0005763994,0.00043694588,0.00046834434,0.00076221616,0.00067362725,0.00037564282,0.0013799913],"category_scores_gemma":[0.0023301346,0.00038742792,0.00023006955,0.00063543225,0.00038470115,0.00043654826,0.00031366938,0.00043731922,0.00010479971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005803025,0.000012693885,0.0005514654,0.000014357442,0.000008023054,0.0000191911,0.000023062024,0.99091786,0.00030191627,0.0012673619,0.00042783195,0.0063981446],"study_design_scores_gemma":[0.0000068299173,0.0000053931385,0.00038020345,8.858515e-7,0.0000016197217,0.0000014257887,0.0000066952475,0.9990559,0.0000634838,0.0002932037,0.00018231143,0.0000020809916],"about_ca_topic_score_codex":0.30852276,"about_ca_topic_score_gemma":0.33492598,"teacher_disagreement_score":0.69147724,"about_ca_system_score_codex":0.0034707468,"about_ca_system_score_gemma":0.0033416236,"threshold_uncertainty_score":0.6134539},"labels":[],"label_agreement":null},{"id":"W1847327258","doi":"10.1109/pes.2005.1489213","title":"Impact of DG interface control on islanding detection","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Islanding Detection in Power 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 Waterloo","funders":"","keywords":"Islanding; Interface (matter); AC power; Computer science; Distributed generation; Voltage; Power factor; Electronic engineering; Power (physics); Penetration (warfare); Control engineering; Engineering; Electrical engineering; Physics","score_opus":0.0044668494205126075,"score_gpt":0.22584868557080834,"score_spread":0.22138183615029572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1847327258","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":[0.6103409,0.0015011232,0.36796603,0.00049990026,0.00028931582,0.00016085706,0.00016943355,0.0028567982,0.016215637],"genre_scores_gemma":[0.9917129,0.00019613659,0.0074393,0.00009835674,0.000027345048,0.000012281261,0.000031924814,0.000050714465,0.0004310261],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991277,0.00028622328,0.00006511213,0.0001444766,0.00026678588,0.00010973446],"domain_scores_gemma":[0.99178,0.0057180887,0.00062204467,0.00050250144,0.001197003,0.00018045424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009970207,0.00094734237,0.00048669658,0.000583892,0.00023003138,0.0015114961,0.0005915262,0.000867792,0.002838384],"category_scores_gemma":[0.008463079,0.00016969367,0.00030617244,0.0002729045,0.00060386164,0.001336166,0.0005523978,0.0010074582,0.00031033583],"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":[0.004724464,0.0013121965,0.02994534,0.0011006776,0.00024119193,0.0019139235,0.00071547803,0.29443726,0.24005266,0.019938769,0.0028132987,0.40280476],"study_design_scores_gemma":[0.00039125435,0.003097107,0.015675005,0.00013412225,0.00028945523,0.0008594669,0.00028950907,0.74576145,0.22155896,0.0070205936,0.0048431032,0.000080075224],"about_ca_topic_score_codex":0.0008243113,"about_ca_topic_score_gemma":0.00038323025,"teacher_disagreement_score":0.002838384,"about_ca_system_score_codex":0.00027153414,"about_ca_system_score_gemma":0.00016776852,"threshold_uncertainty_score":0.009495318},"labels":[],"label_agreement":null},{"id":"W1862064790","doi":"10.1109/pes.2005.1489254","title":"Operation &amp;amp; monitoring of GIS","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","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":"Perspective (graphical); Computer science; Systems engineering; Geographic information system; Engineering; Remote sensing; Geography","score_opus":0.012501497604310659,"score_gpt":0.2290147396667547,"score_spread":0.21651324206244404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1862064790","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":[0.058548495,0.0023684662,0.43310946,0.003558849,0.00057316746,0.0007195661,0.017834112,0.04071033,0.4425775],"genre_scores_gemma":[0.62312615,0.003380677,0.2499302,0.0010052323,0.0005688529,0.0006389086,0.019083539,0.0023862103,0.0998802],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979122,0.00046186525,0.00014111896,0.00032725703,0.001021777,0.00013579229],"domain_scores_gemma":[0.9966635,0.000637731,0.00031756892,0.00085836876,0.0013783938,0.00014439087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013374583,0.00080063654,0.0003903742,0.002799103,0.0005356248,0.0026702806,0.0010930513,0.00061240664,0.018314289],"category_scores_gemma":[0.0041400874,0.00031811022,0.00022363418,0.0035495718,0.00057992176,0.0028034786,0.0011692869,0.0005600036,0.009063753],"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":[0.00051652576,0.000099332865,0.020554991,0.0006145451,0.000083834006,0.0007727454,0.0019466311,0.011009542,0.022442197,0.030283354,0.19344509,0.7182312],"study_design_scores_gemma":[0.00006074745,0.00016393275,0.022047382,0.00019978592,0.00006750196,0.001086968,0.00094353245,0.047745522,0.032053087,0.012646508,0.88288814,0.00009699448],"about_ca_topic_score_codex":0.0042558275,"about_ca_topic_score_gemma":0.0023257888,"teacher_disagreement_score":0.018314289,"about_ca_system_score_codex":0.0007195813,"about_ca_system_score_gemma":0.00052499474,"threshold_uncertainty_score":0.061267436},"labels":[],"label_agreement":null},{"id":"W1877829864","doi":"10.1109/pes.2005.1489702","title":"Hydro-Quebec grid code for wind farm interconnection","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power Systems and Technologies","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":true,"ca_institutions":"Hydro-Québec; Energie NB Power (Canada)","funders":"","keywords":"Grid; Wind power; Interconnection; Wind generator; Grid code; Peninsula; Generator (circuit theory); Electricity; Marine engineering; Civil engineering; Computer science; Telecommunications; Environmental science; Engineering; Electrical engineering; Geography; AC power; Power (physics); Archaeology","score_opus":0.007526724632922273,"score_gpt":0.20921301188744929,"score_spread":0.201686287254527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1877829864","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035694824,0.002470514,0.00898048,0.0037521224,0.0013915913,0.00040811268,0.08681457,0.003377517,0.88923556],"genre_scores_gemma":[0.046356734,0.0030226805,0.016661484,0.0015741845,0.00014412277,0.0004816848,0.06788489,0.0014059399,0.8624682],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992694,0.00006305992,0.000028654616,0.00007022743,0.00042921447,0.00013936347],"domain_scores_gemma":[0.9975109,0.00007225244,0.00008304634,0.00011825404,0.002115685,0.00009982044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057908765,0.0008146666,0.00031009095,0.0018530912,0.0019604864,0.0021541652,0.00095446064,0.0009769328,0.13002895],"category_scores_gemma":[0.0021222308,0.00030568914,0.00027474161,0.0037260447,0.00037082168,0.00095625105,0.0005185943,0.0012184068,0.030295635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003566761,0.000018220988,0.0008817432,0.00008200692,0.0000068121594,0.00008365083,0.000066359564,0.00094408507,0.0003953361,0.023725959,0.9396386,0.03412151],"study_design_scores_gemma":[0.000014336625,0.000005921172,0.0026766378,0.00006988756,0.000003185022,0.000047499954,0.00003579782,0.00059342594,0.00016935397,0.0010437854,0.9953282,0.000011924024],"about_ca_topic_score_codex":0.8848313,"about_ca_topic_score_gemma":0.92652434,"teacher_disagreement_score":0.8848313,"about_ca_system_score_codex":0.013957443,"about_ca_system_score_gemma":0.019555388,"threshold_uncertainty_score":0.43499017},"labels":[],"label_agreement":null},{"id":"W1905023496","doi":"10.1109/pes.2005.1489210","title":"Voltage stability in weak connection wind farms","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":109,"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":"Transient (computer programming); Voltage drop; Wind power; Voltage; Transient voltage suppressor; Induction generator; Generator (circuit theory); Electric power system; Control theory (sociology); Electrical engineering; Computer science; Connection (principal bundle); Power (physics); Engineering; Physics; Mechanical engineering","score_opus":0.007962330262657868,"score_gpt":0.20522235856062873,"score_spread":0.19726002829797087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1905023496","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":[0.9670547,0.00010463295,0.029057866,0.00005862401,0.000007954663,0.000009584162,0.000035248064,0.00009154762,0.003579896],"genre_scores_gemma":[0.99901843,0.000035403933,0.0005733999,0.0000032482637,0.0000028192242,0.0000031521224,0.000019629595,0.000007148133,0.0003366841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991226,0.00002655045,0.0000045138922,0.000015000919,0.000029616569,0.0000120431205],"domain_scores_gemma":[0.99971193,0.000115418465,0.000062739,0.000024141491,0.00006500993,0.000020779395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022603208,0.00018231722,0.00023434129,0.00040640045,0.00028809346,0.0003942613,0.0002110973,0.00022180201,0.00092935306],"category_scores_gemma":[0.0014809608,0.00016073712,0.00014213582,0.00030744218,0.000307536,0.00045812572,0.00027697717,0.00027165297,0.00013814234],"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":[0.0003451731,0.000056269586,0.0154616805,0.000043862226,0.00003953238,0.0005570668,0.00015291764,0.925411,0.02252787,0.0099707795,0.000640388,0.02479347],"study_design_scores_gemma":[0.000018101957,0.00010375465,0.004150457,0.000004887363,0.0000069277867,0.00007029696,0.000029182931,0.9874099,0.0024553947,0.005490511,0.00025427132,0.000006330179],"about_ca_topic_score_codex":0.0013410111,"about_ca_topic_score_gemma":0.0008353,"teacher_disagreement_score":0.0013410111,"about_ca_system_score_codex":0.00026955624,"about_ca_system_score_gemma":0.00013744713,"threshold_uncertainty_score":0.0031089783},"labels":[],"label_agreement":null},{"id":"W1911139727","doi":"10.1109/pes.2005.1489115","title":"A new wind turbine generation system based on matrix converter","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":65,"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":"Power optimizer; Wind power; Induction generator; Turbine; Engineering; Topology (electrical circuits); Control theory (sociology); Maximum power point tracking; Electrical engineering; Computer science; Voltage; Mechanical engineering","score_opus":0.007572783476210262,"score_gpt":0.202807337832233,"score_spread":0.19523455435602274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911139727","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":[0.1339484,0.00197796,0.7880079,0.0006676344,0.0010640707,0.00063249556,0.0005100248,0.0064581395,0.06673345],"genre_scores_gemma":[0.84344983,0.0011164886,0.13421272,0.00018651565,0.00029047398,0.00027525457,0.0005215907,0.00005884708,0.019888317],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999853,0.000021875594,0.0000110126075,0.0000356312,0.00006447819,0.000014062898],"domain_scores_gemma":[0.99993944,0.000005072046,0.000006260949,0.000008665261,0.000029117546,0.000011465667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010940234,0.0003197753,0.0005461825,0.0003530387,0.00037696442,0.0008863921,0.0007825036,0.00035679425,0.0038912538],"category_scores_gemma":[0.00012554026,0.00018291292,0.00022650973,0.00069310225,0.00014053505,0.00089347543,0.000321895,0.0006045831,0.0012328792],"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":[0.0007055674,0.0005030486,0.0019335129,0.00093995564,0.00016220768,0.0024304138,0.00037599358,0.059484906,0.3003045,0.06817171,0.023037348,0.54195076],"study_design_scores_gemma":[0.0007710746,0.0020253074,0.0037854705,0.00008632278,0.00021956228,0.0045109983,0.00010093186,0.76301545,0.050007068,0.0155154485,0.15983726,0.00012516785],"about_ca_topic_score_codex":0.0008688179,"about_ca_topic_score_gemma":0.0015774687,"teacher_disagreement_score":0.0038912538,"about_ca_system_score_codex":0.00021754234,"about_ca_system_score_gemma":0.00030020307,"threshold_uncertainty_score":0.013017535},"labels":[],"label_agreement":null},{"id":"W1911958716","doi":"10.1109/pes.2005.1489346","title":"DC voltage limit compliance in voltage-source converter based multi-terminal HVDC","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","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":"McGill University","funders":"","keywords":"Dropout voltage; Forward converter; Electrical engineering; Voltage; Ćuk converter; Voltage regulation; Voltage source; Low-dropout regulator; Voltage multiplier; HVDC converter station; Voltage divider; Boost converter; Reset (finance); Flyback converter; Voltage reference; Voltage regulator; Computer science; Control theory (sociology); Engineering; Finance","score_opus":0.015092751479989728,"score_gpt":0.22986378245454755,"score_spread":0.21477103097455782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911958716","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":[0.10034946,0.00033366724,0.89552706,0.00009146573,0.000032754935,0.00007869094,0.0000430253,0.0004955821,0.003048263],"genre_scores_gemma":[0.92362297,0.00015208704,0.07512969,0.000023107465,0.0000065912063,0.000044019413,0.000026522112,0.000048834605,0.000946257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923086,0.00027497808,0.000034707802,0.00010702447,0.00031480877,0.00003764795],"domain_scores_gemma":[0.998662,0.0007491689,0.00021223485,0.00011733024,0.0002245601,0.000034697507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012229333,0.00034447483,0.00050594483,0.0004333567,0.00034288492,0.00074690784,0.00066741754,0.0005935822,0.00064888294],"category_scores_gemma":[0.0036339678,0.0005005982,0.00016009806,0.0006250422,0.00054435874,0.0007210696,0.00050094,0.0006179211,0.00019441714],"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":[0.00036684322,0.00013155746,0.004001218,0.000283749,0.00002808582,0.00040496222,0.00033521344,0.7090189,0.06126749,0.010321225,0.0008446555,0.21299617],"study_design_scores_gemma":[0.000015354297,0.000093624134,0.0012104632,0.00001868984,0.0000054923617,0.00013437924,0.000026908136,0.9714921,0.024292655,0.0019851283,0.0007063604,0.000018819263],"about_ca_topic_score_codex":0.0023553406,"about_ca_topic_score_gemma":0.0019594317,"teacher_disagreement_score":0.0023553406,"about_ca_system_score_codex":0.0006370295,"about_ca_system_score_gemma":0.0005575513,"threshold_uncertainty_score":0.006467581},"labels":[],"label_agreement":null},{"id":"W1929543399","doi":"10.1109/pes.2005.1489352","title":"Intelligent SVC control for transient stability enhancement","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","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":"University of Calgary","funders":"","keywords":"Control theory (sociology); Static VAR compensator; Fuzzy logic; Controller (irrigation); Transient (computer programming); Electric power system; Adaptive control; Computer science; Fuzzy control system; Control engineering; Power (physics); Engineering; Control (management); Artificial intelligence","score_opus":0.009730472462300773,"score_gpt":0.2178981345653898,"score_spread":0.20816766210308904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1929543399","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":[0.089226745,0.00083005195,0.88862365,0.00018782615,0.00014653495,0.000046162728,0.000041090763,0.0016772324,0.01922065],"genre_scores_gemma":[0.98164546,0.0001594328,0.0154190725,0.000033342913,0.000027399003,0.000020365249,0.000031496686,0.000021793076,0.0026415978],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988925,0.000016289772,0.000006107103,0.000016631031,0.00005927831,0.0000125356955],"domain_scores_gemma":[0.9999163,0.00002120076,0.000012324463,0.000008908849,0.00003675782,0.0000046355917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001354589,0.00024593394,0.00025546562,0.00024379193,0.00020730216,0.00043069708,0.00028752902,0.00020177437,0.0012062686],"category_scores_gemma":[0.00029160958,0.000083552666,0.00014324607,0.00020223547,0.00020076837,0.0001958567,0.00017817749,0.00029701457,0.00018316178],"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":[0.00037207943,0.00015149875,0.0007645183,0.0002316193,0.00006320794,0.00020703356,0.00015658073,0.36764637,0.20298304,0.029135048,0.0047957106,0.39349326],"study_design_scores_gemma":[0.0000235895,0.00010443194,0.0004897068,0.000008097177,0.00002009132,0.000056964098,0.000009334239,0.9771203,0.015585904,0.00258797,0.003985625,0.0000080877],"about_ca_topic_score_codex":0.0012698832,"about_ca_topic_score_gemma":0.0016802953,"teacher_disagreement_score":0.0012698832,"about_ca_system_score_codex":0.00024343634,"about_ca_system_score_gemma":0.00020340487,"threshold_uncertainty_score":0.0040354133},"labels":[],"label_agreement":null},{"id":"W1946126306","doi":"10.1109/pes.2005.1489219","title":"Dynamic Simulation of a Switched Reluctance Motor Drive on EMTDC/PSCAD Software","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Switched reluctance motor; Control theory (sociology); Torque ripple; Reluctance motor; Torque; Direct torque control; Ripple; Computer science; Controller (irrigation); Waveform; Engineering; Control engineering; Induction motor; Voltage; Electrical engineering; Physics; Control (management)","score_opus":0.004743987463202629,"score_gpt":0.21107124012875036,"score_spread":0.20632725266554774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1946126306","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":[0.5509378,0.0001809053,0.3518203,0.00036378778,0.00012253736,0.0003616338,0.0035372283,0.0100684175,0.08260748],"genre_scores_gemma":[0.94977164,0.00013920014,0.040683236,0.000046641417,0.000009161636,0.00029950723,0.0014641552,0.00036563387,0.0072208275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982363,0.0000471474,0.000009422413,0.000014894448,0.00007962565,0.000025347113],"domain_scores_gemma":[0.99962974,0.00019326371,0.000024702862,0.000041210973,0.00009295659,0.000018135568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034502518,0.00059029594,0.00060564146,0.00050502917,0.00043331622,0.0005625075,0.00086659926,0.0007176586,0.009455434],"category_scores_gemma":[0.00067405653,0.0003091605,0.0004357076,0.00037336987,0.00027664885,0.00047888415,0.00030873402,0.00065317185,0.00087673654],"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":[0.00020798219,0.00009631257,0.001384191,0.00018396405,0.000036969126,0.000343455,0.00019928225,0.96871746,0.006884978,0.004609616,0.002304622,0.015031156],"study_design_scores_gemma":[0.000033861717,0.000052819447,0.00039645142,0.0000082054685,0.000006386288,0.000036446927,0.000026895741,0.9945464,0.0024253686,0.00056069944,0.0018989838,0.0000075963694],"about_ca_topic_score_codex":0.004866602,"about_ca_topic_score_gemma":0.0038807995,"teacher_disagreement_score":0.009455434,"about_ca_system_score_codex":0.00033634974,"about_ca_system_score_gemma":0.0004840465,"threshold_uncertainty_score":0.03163159},"labels":[],"label_agreement":null},{"id":"W1949942209","doi":"10.1109/pes.2005.1489366","title":"The multiple benefits of integrating electricity storage with wind energy","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Microgrid Control and Optimization","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":"Ballard Power Systems (Canada)","funders":"","keywords":"Wind power; Electricity; Energy storage; Pumped-storage hydroelectricity; Wind hybrid power systems; Computer science; Stand-alone power system; Environmental science; Renewable energy; Environmental economics; Distributed generation; Electrical engineering; Engineering; Power (physics); Physics; Economics","score_opus":0.0025960380853155777,"score_gpt":0.15915829004497578,"score_spread":0.1565622519596602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1949942209","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":[0.24794526,0.017693358,0.52102846,0.010775726,0.0011446167,0.0001319781,0.00052876095,0.0016109765,0.19914082],"genre_scores_gemma":[0.9512194,0.0033874372,0.033602346,0.00023494317,0.0003280481,0.000026843627,0.00011848301,0.000053188258,0.011029239],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982697,0.000035891033,0.000011218815,0.000028303362,0.000078680016,0.000018970473],"domain_scores_gemma":[0.9996076,0.00011870904,0.00004090239,0.00008082016,0.000119417455,0.000032605752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032065454,0.00058896036,0.00035334646,0.0002140022,0.00025351119,0.0010119997,0.000637419,0.0005827589,0.0055271387],"category_scores_gemma":[0.0008140831,0.00021260479,0.0003417318,0.00062037504,0.00036714567,0.0023031402,0.0010146048,0.00063527026,0.0011411074],"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":[0.0010829758,0.00034049354,0.009790599,0.00087461947,0.00041069835,0.0011366411,0.00013906955,0.16560884,0.05133666,0.117197454,0.007921913,0.64416003],"study_design_scores_gemma":[0.00028231685,0.002206464,0.020027589,0.00067237444,0.00070877885,0.004179389,0.00058982073,0.35246727,0.084439255,0.33348635,0.20070083,0.00023963118],"about_ca_topic_score_codex":0.00043370738,"about_ca_topic_score_gemma":0.00097264914,"teacher_disagreement_score":0.0055271387,"about_ca_system_score_codex":0.00015790472,"about_ca_system_score_gemma":0.00034799875,"threshold_uncertainty_score":0.018490136},"labels":[],"label_agreement":null},{"id":"W1953252938","doi":"10.1109/pes.2005.1489104","title":"Effect of distributed generator on the allocation of D-STATCOM in distribution network","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Optimal Power Flow Distribution","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 Waterloo","funders":"","keywords":"Generator (circuit theory); Voltage; Distributed generation; Computer science; Distributed power generation; Distribution (mathematics); AC power; Power (physics); Control theory (sociology); Mathematical optimization; Electronic engineering; Electrical engineering; Topology (electrical circuits); Engineering; Mathematics; Control (management); Physics; Renewable energy","score_opus":0.0036028372304744037,"score_gpt":0.2032054888975133,"score_spread":0.1996026516670389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953252938","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":[0.60420537,0.0014287988,0.36664724,0.0010260891,0.00025122837,0.000079209334,0.0001106439,0.00035466964,0.025896667],"genre_scores_gemma":[0.99441767,0.00016904435,0.004692407,0.00005632934,0.0000149237385,0.000006297625,0.000007795211,0.000015855498,0.0006197365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994642,0.0003368196,0.000015407926,0.000050905623,0.00007168588,0.000061005532],"domain_scores_gemma":[0.99785787,0.0017164155,0.00013094842,0.00006216317,0.00017313768,0.000059340393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068337435,0.0005179721,0.000537951,0.00027388326,0.00031169236,0.00074481464,0.0003433527,0.0006489451,0.0018994244],"category_scores_gemma":[0.0040129605,0.00019252999,0.00021675683,0.00035684867,0.0004874325,0.000915667,0.00042746027,0.00042983246,0.0001608446],"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":[0.0004094079,0.000049624767,0.0011976998,0.000072982446,0.000024618857,0.00018030214,0.000031509775,0.97205454,0.0062280903,0.00463762,0.0005058454,0.014607706],"study_design_scores_gemma":[0.00005738119,0.000226456,0.0009854997,0.00001122037,0.00004843787,0.00009660804,0.00006536535,0.98842865,0.005698003,0.0037846405,0.00058772846,0.000010124895],"about_ca_topic_score_codex":0.0015597563,"about_ca_topic_score_gemma":0.0018733694,"teacher_disagreement_score":0.0018994244,"about_ca_system_score_codex":0.00064796524,"about_ca_system_score_gemma":0.00027609948,"threshold_uncertainty_score":0.0063542128},"labels":[],"label_agreement":null},{"id":"W2098866249","doi":"10.1109/pes.2005.1489233","title":"Optimal coordination of directional overcurrent relay coordination","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":48,"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":"Overcurrent; Relay; Solver; Computer science; Electric power system; Integer programming; Coordination game; Mathematical optimization; Protective relay; Pickup; Power (physics); Engineering; Electrical engineering; Mathematics; Current (fluid); Algorithm","score_opus":0.005176135435353931,"score_gpt":0.21372903838515186,"score_spread":0.20855290294979795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098866249","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":[0.029844405,0.00031364692,0.948736,0.00032590967,0.00010725158,0.000091077156,0.00013524384,0.00026254507,0.020183891],"genre_scores_gemma":[0.9075161,0.000305506,0.08601947,0.000086034874,0.000045490855,0.000109693465,0.00013851828,0.00005869833,0.005720412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999086,0.00029774758,0.00005104286,0.00023352426,0.00018199885,0.00014957089],"domain_scores_gemma":[0.99914825,0.00027104391,0.0001715472,0.00011256737,0.00021915,0.00007747519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010527876,0.00079087896,0.0009328515,0.00043818986,0.00038697076,0.0016600966,0.0007845485,0.00074699474,0.0047377963],"category_scores_gemma":[0.0033085505,0.0004073051,0.00032748937,0.0006161251,0.000535732,0.0012707218,0.0008529791,0.0007489917,0.00067283993],"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":[0.00021804127,0.000056184374,0.0004040105,0.000109258726,0.000031387688,0.000102437145,0.00009364513,0.8695396,0.0035910418,0.07299719,0.0038991335,0.048957985],"study_design_scores_gemma":[0.00004938232,0.000071627204,0.00017092926,0.000009143335,0.000012731727,0.000041057774,0.000048322734,0.9756251,0.0013255219,0.019864744,0.002771182,0.000010322234],"about_ca_topic_score_codex":0.0022697418,"about_ca_topic_score_gemma":0.0020657335,"teacher_disagreement_score":0.0047377963,"about_ca_system_score_codex":0.00092686556,"about_ca_system_score_gemma":0.0014518582,"threshold_uncertainty_score":0.01584953},"labels":[],"label_agreement":null},{"id":"W2103877321","doi":"10.1109/pes.2005.1489503","title":"Remotely operable load break switch for distribution network","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Smart Grid Security and Resilience","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":"Western University","funders":"","keywords":"Work (physics); Distribution (mathematics); Computer science; Voltage; Telecommunications; Engineering; Automotive engineering; Electrical engineering","score_opus":0.005094785181765508,"score_gpt":0.20164091518540037,"score_spread":0.19654613000363486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103877321","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":[0.35444978,0.0041290596,0.5025409,0.0013336366,0.0008673794,0.0005049318,0.00044583343,0.012745628,0.1229829],"genre_scores_gemma":[0.9151257,0.0009066079,0.053060666,0.00021074973,0.000178615,0.00008517048,0.00040162896,0.00024027712,0.029790638],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976844,0.00003333643,0.0000072326475,0.000041717296,0.00011809203,0.000031124513],"domain_scores_gemma":[0.9998839,0.00001725042,0.000023358365,0.000025815709,0.000026400605,0.000023376193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014133047,0.0003315273,0.00019447257,0.00032879013,0.0003012895,0.0004679209,0.0006189971,0.0002676466,0.00791036],"category_scores_gemma":[0.0001879719,0.000076719865,0.00018312092,0.00023124792,0.0003068577,0.0006572122,0.0003730411,0.0005734638,0.0016891018],"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":[0.00060815655,0.00043164036,0.0044831587,0.0004394107,0.000028917082,0.0012229425,0.00037366687,0.0082674045,0.5249598,0.018439123,0.01391637,0.42682937],"study_design_scores_gemma":[0.00027733637,0.0033230602,0.01272576,0.00013654814,0.000104238105,0.005942657,0.0003210908,0.06586524,0.4046312,0.005096469,0.5014596,0.00011684572],"about_ca_topic_score_codex":0.00045460468,"about_ca_topic_score_gemma":0.0007109488,"teacher_disagreement_score":0.00791036,"about_ca_system_score_codex":0.00034485056,"about_ca_system_score_gemma":0.0001947368,"threshold_uncertainty_score":0.026462853},"labels":[],"label_agreement":null},{"id":"W2107400093","doi":"10.1109/pes.2005.1489412","title":"Assessing the technical value of FACTS-based wide-area damping control loops","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":61,"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":"Scope (computer science); Control (management); Electric power system; Computer science; Control area; SCADA; Control system; Power control; Electric power transmission; Reliability engineering; Interconnection; Control engineering; Power (physics); Telecommunications; Engineering; Electrical engineering","score_opus":0.008875278128112816,"score_gpt":0.23947389274696565,"score_spread":0.23059861461885284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107400093","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":[0.7773347,0.0006771083,0.202973,0.00051694043,0.00004390043,0.00016915581,0.00015541005,0.00031911468,0.01781058],"genre_scores_gemma":[0.992694,0.00007831398,0.0068491464,0.000013950933,0.00001542863,0.000013217412,0.000025199675,0.0000053890744,0.00030528812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985903,0.0006342143,0.00004309472,0.00010659721,0.00058171275,0.00004405383],"domain_scores_gemma":[0.9901281,0.0071276533,0.0008790785,0.0006527271,0.0011039288,0.00010844425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027936553,0.00067816756,0.0003110832,0.0009611177,0.00033098157,0.00096206355,0.00063176104,0.00086219644,0.0015443078],"category_scores_gemma":[0.01146743,0.00017757912,0.00020203483,0.00061860046,0.0007978361,0.0022583876,0.000493569,0.00044986722,0.0001307137],"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":[0.002120099,0.0003334199,0.032241195,0.00031138453,0.00023152395,0.0003965829,0.00020804485,0.70126444,0.020861335,0.030767415,0.00059973274,0.21066476],"study_design_scores_gemma":[0.0002952662,0.0039708563,0.034168225,0.00006382292,0.0002400458,0.00021549872,0.00031086226,0.9240562,0.014656479,0.019743685,0.0022244363,0.00005458366],"about_ca_topic_score_codex":0.0012663275,"about_ca_topic_score_gemma":0.0020921275,"teacher_disagreement_score":0.0027936553,"about_ca_system_score_codex":0.00075466954,"about_ca_system_score_gemma":0.00038870922,"threshold_uncertainty_score":0.014774442},"labels":[],"label_agreement":null},{"id":"W2128327229","doi":"10.1109/pes.2005.1489680","title":"Applications of symbolic computation to power system analysis and teaching","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computation; Symbolic computation; MATLAB; Electric power system; Process (computing); Power (physics); Theoretical computer science; Symbolic-numeric computation; Symbolic data analysis; Programming language; Computational science; Mathematics","score_opus":0.002895131588398508,"score_gpt":0.21300280418138098,"score_spread":0.21010767259298246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128327229","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":[0.0074672797,0.0048942664,0.8720267,0.0045085927,0.00072815845,0.00006501236,0.000053942444,0.0014667154,0.108789384],"genre_scores_gemma":[0.4534144,0.012238176,0.5064992,0.00094989734,0.0011184042,0.0003266046,0.00017819631,0.0006477879,0.024627315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986929,0.0006904958,0.00007049031,0.000092290196,0.00038930713,0.00006457035],"domain_scores_gemma":[0.9971328,0.0022534435,0.00006764661,0.00025082543,0.0002134943,0.000081781785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009984676,0.0008338486,0.00049615133,0.0010355819,0.00097487797,0.0022221655,0.00073406554,0.00085209036,0.0125651555],"category_scores_gemma":[0.009540239,0.0002606515,0.0004909643,0.0013446618,0.0032388852,0.0022385719,0.0022053795,0.0019147396,0.0020494373],"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":[0.000052348303,0.000036040376,0.0004172737,0.00029521546,0.000022011174,0.0002716008,0.0017541327,0.035112035,0.0018190837,0.717516,0.008107814,0.23459646],"study_design_scores_gemma":[0.000025310177,0.00003795781,0.00014442728,0.0001703622,0.000009796732,0.00019199142,0.00034227886,0.056080796,0.002130078,0.83027524,0.11056906,0.000022646478],"about_ca_topic_score_codex":0.0016385637,"about_ca_topic_score_gemma":0.0012301736,"teacher_disagreement_score":0.0125651555,"about_ca_system_score_codex":0.0013968108,"about_ca_system_score_gemma":0.0011371255,"threshold_uncertainty_score":0.042034686},"labels":[],"label_agreement":null},{"id":"W2136347925","doi":"10.1109/pes.2005.1489216","title":"Hardware and software implementation of a travelling wave based protection relay","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power Systems Fault Detection","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 Manitoba","funders":"","keywords":"Transient (computer programming); Relay; Computer science; Reliability (semiconductor); Fault (geology); Software; Transmission line; Electronic engineering; State (computer science); Power-system protection; Protective relay; Electric power system; Electric power transmission; Scheme (mathematics); Transmission (telecommunications); Embedded system; Power (physics); Engineering; Electrical engineering; Telecommunications","score_opus":0.008597094918195252,"score_gpt":0.21524032944996313,"score_spread":0.2066432345317679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136347925","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":[0.034003496,0.00017065924,0.9440911,0.00017698329,0.0001920595,0.0002621922,0.000095456475,0.013916163,0.007091944],"genre_scores_gemma":[0.6160568,0.00023719536,0.37314427,0.00017963057,0.00009890084,0.0002613951,0.00029031117,0.00033542927,0.009396037],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997178,0.00004113081,0.000025411202,0.000052151194,0.0001316476,0.000031888445],"domain_scores_gemma":[0.9995165,0.00012693791,0.00005432944,0.00012876879,0.00014116545,0.00003229647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003641524,0.0004765783,0.00029268474,0.00047520202,0.00016981846,0.00065530057,0.0012240777,0.0005113515,0.0063819014],"category_scores_gemma":[0.0011532629,0.00028065854,0.00024422116,0.0001790633,0.00020962271,0.0005562076,0.00025180329,0.0006223515,0.0027679552],"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":[0.0007985365,0.0003700927,0.0024318874,0.0005091168,0.00013647109,0.0007075289,0.00038231438,0.022903692,0.46377817,0.025105715,0.009345247,0.47353125],"study_design_scores_gemma":[0.00048124135,0.0028470191,0.0030383195,0.00007481653,0.00018644109,0.0026871122,0.000059573274,0.40721995,0.5206332,0.004455868,0.058206923,0.00010953064],"about_ca_topic_score_codex":0.00042258558,"about_ca_topic_score_gemma":0.0002931704,"teacher_disagreement_score":0.0063819014,"about_ca_system_score_codex":0.00017277918,"about_ca_system_score_gemma":0.00043054312,"threshold_uncertainty_score":0.021349609},"labels":[],"label_agreement":null},{"id":"W2145365342","doi":"10.1109/pes.2005.1489457","title":"Stator fault detection in induction machines using triplen harmonics at motor terminal voltage after switch-off","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Machine Fault Diagnosis Techniques","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 Victoria","funders":"","keywords":"Stator; Harmonics; Induction motor; Voltage; Control theory (sociology); Fault (geology); Engineering; Permeance; Fault detection and isolation; Harmonic analysis; Terminal (telecommunication); Harmonic; Electrical engineering; Computer science; Electronic engineering; Acoustics; Physics; Actuator; Geology; Telecommunications","score_opus":0.006982017687042659,"score_gpt":0.24284538935602093,"score_spread":0.23586337166897828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145365342","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":[0.98096085,0.000110334455,0.01788756,0.000025976266,0.000016413647,0.000012131946,0.000026856056,0.00021635507,0.0007434962],"genre_scores_gemma":[0.99816704,0.000020652034,0.0016504274,0.000003603007,0.0000025765248,0.0000013894763,0.00001690383,0.0000035203086,0.00013390453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998412,0.000027279444,0.0000075015823,0.000029188135,0.00007185484,0.000022931934],"domain_scores_gemma":[0.99944526,0.0003085632,0.00009254805,0.000043184216,0.000073143834,0.00003727462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019213185,0.00015575095,0.00032817537,0.00038157738,0.00013202675,0.0002601145,0.0001971433,0.00022302284,0.00041728612],"category_scores_gemma":[0.00086822547,0.00010423222,0.00009144349,0.0002440964,0.00026553872,0.00029190947,0.00013150733,0.00019088978,0.00010244013],"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":[0.002242144,0.00020019452,0.035080228,0.00023371587,0.000034708595,0.0010561304,0.0008183105,0.009362795,0.6913962,0.00064099283,0.00035587253,0.2585788],"study_design_scores_gemma":[0.00010726343,0.0025285352,0.18960285,0.00003620129,0.00009341703,0.0023705866,0.0003634764,0.16529867,0.637196,0.0010856193,0.0012808086,0.000036601446],"about_ca_topic_score_codex":0.0006012852,"about_ca_topic_score_gemma":0.0009521713,"teacher_disagreement_score":0.0006012852,"about_ca_system_score_codex":0.0002650551,"about_ca_system_score_gemma":0.00009465396,"threshold_uncertainty_score":0.0019231439},"labels":[],"label_agreement":null},{"id":"W2163516187","doi":"10.1109/pes.2005.1489341","title":"Sensitivity-based generation rescheduling for voltage stability enhancement","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","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":"Memorial University of Newfoundland","funders":"","keywords":"Sensitivity (control systems); Margin (machine learning); Voltage; Stability (learning theory); Control theory (sociology); Electricity generation; Computer science; Power (physics); Electronic engineering; Engineering; Electrical engineering; Physics; Artificial intelligence","score_opus":0.014747836821613805,"score_gpt":0.22646539477051839,"score_spread":0.21171755794890457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163516187","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":[0.034523,0.0002988506,0.9606075,0.00010151572,0.00006253236,0.00006017814,0.000024090443,0.0010251668,0.0032971478],"genre_scores_gemma":[0.8044506,0.00015208518,0.19344059,0.000100544225,0.00007130109,0.000065901666,0.000046639787,0.000082592785,0.0015897473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992004,0.0002609309,0.00004342582,0.00012524176,0.00032225274,0.000047767586],"domain_scores_gemma":[0.9987859,0.00066244794,0.00014666923,0.00017488441,0.00019955236,0.00003058863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010718135,0.0007086374,0.00089026784,0.000711067,0.00046005254,0.0004513728,0.00078740064,0.00037096473,0.0011162891],"category_scores_gemma":[0.002817812,0.0003044008,0.00046824903,0.00047337485,0.00039566588,0.00071317796,0.0005163254,0.0006935509,0.00022662508],"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":[0.0002909279,0.00026466473,0.0008452516,0.00015193279,0.00009160391,0.00022131203,0.00018298817,0.53395325,0.06654934,0.013022458,0.0015751807,0.3828511],"study_design_scores_gemma":[0.00001689726,0.00009883999,0.00039364517,0.000008879004,0.000017564156,0.000089521986,0.000008799922,0.97331494,0.02134292,0.0031513618,0.0015325282,0.000024125902],"about_ca_topic_score_codex":0.00083289616,"about_ca_topic_score_gemma":0.00097377016,"teacher_disagreement_score":0.0011162891,"about_ca_system_score_codex":0.00045567195,"about_ca_system_score_gemma":0.00049466407,"threshold_uncertainty_score":0.005668342},"labels":[],"label_agreement":null},{"id":"W2171514857","doi":"10.1109/pes.2005.1489231","title":"Harmonic domain characterization of the resonant interaction between generator and transmission line","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harmonics; Harmonic analysis; Harmonic; Generator (circuit theory); Transmission line; Voltage; Line (geometry); Electric power transmission; Sequence (biology); Frame (networking); Computer science; Frequency domain; Domain (mathematical analysis); Resonance (particle physics); Topology (electrical circuits); Representation (politics); Time domain; Physics; Electronic engineering; Acoustics; Engineering; Electrical engineering; Mathematics; Telecommunications; Mathematical analysis; Power (physics); Quantum mechanics; Chemistry","score_opus":0.005834932203101118,"score_gpt":0.20344288925096535,"score_spread":0.19760795704786424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171514857","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":[0.29648647,0.0006746357,0.6697808,0.000117236916,0.000097509685,0.00007339795,0.0003301483,0.00040683922,0.03203299],"genre_scores_gemma":[0.97299945,0.00018423263,0.018630628,0.000014371833,0.000033228782,0.000024926327,0.00022503614,0.00003471252,0.007853459],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999422,0.000009253098,0.000001763874,0.000012972417,0.000028926761,0.000004828286],"domain_scores_gemma":[0.99979323,0.00009220526,0.00003104376,0.000026047404,0.000048182694,0.00000943136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000826738,0.00013937296,0.00016449447,0.00035995737,0.00009296908,0.00022405825,0.00022594223,0.00014876242,0.005531211],"category_scores_gemma":[0.00027589657,0.000058507063,0.00008003686,0.00022608985,0.00017862165,0.00016751516,0.000079313315,0.00017787586,0.0005202378],"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":[0.00039885184,0.00011059282,0.005776899,0.00039746135,0.00005985092,0.0013402839,0.00028492144,0.16479261,0.5828445,0.09353241,0.0055690925,0.14489266],"study_design_scores_gemma":[0.000010868568,0.00032122605,0.010248644,0.000021375095,0.000031077514,0.0013239434,0.00011313931,0.91700643,0.048759375,0.01181777,0.010316956,0.000029138659],"about_ca_topic_score_codex":0.00020392335,"about_ca_topic_score_gemma":0.00032669856,"teacher_disagreement_score":0.005531211,"about_ca_system_score_codex":0.0001590641,"about_ca_system_score_gemma":0.000057857964,"threshold_uncertainty_score":0.018503785},"labels":[],"label_agreement":null},{"id":"W2764803765","doi":"10.1109/pes.2005.1489232","title":"An integrated distributed generation optimization model for distribution system planning","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power Systems and Technologies","field":"Engineering","cited_by":59,"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","score_opus":0.01194674809494643,"score_gpt":0.2227337708635873,"score_spread":0.2107870227686409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764803765","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":[0.0050953887,0.0006990359,0.9720804,0.0005164237,0.00011734653,0.00007707644,0.00064099685,0.00031852073,0.020454703],"genre_scores_gemma":[0.53897405,0.0025947308,0.3993909,0.00032635988,0.00027353922,0.0010602678,0.0021185433,0.0003309162,0.054930773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996045,0.00013640162,0.000015849013,0.00007685883,0.00012574153,0.00004063291],"domain_scores_gemma":[0.9997137,0.00014238282,0.000027200815,0.000021706017,0.00007428475,0.000020733409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006123681,0.0008467553,0.0008680914,0.00037324318,0.00032274835,0.0012116589,0.0013739621,0.0010772938,0.009568853],"category_scores_gemma":[0.0010459512,0.0004639507,0.0006986427,0.0011434713,0.00039580758,0.0012004972,0.00088203343,0.0015897093,0.0014365155],"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":[0.000015990869,0.000019483681,0.00011608409,0.000036399684,0.00001570262,0.00005473283,0.00001659144,0.9570161,0.00021838644,0.028364817,0.0024673103,0.011658363],"study_design_scores_gemma":[0.0000066722428,0.000009494172,0.00003544384,0.0000061021065,0.0000060466737,0.000011228641,0.0000034787656,0.98752195,0.00005437358,0.008820227,0.0035217353,0.0000033608587],"about_ca_topic_score_codex":0.0055809286,"about_ca_topic_score_gemma":0.008416216,"teacher_disagreement_score":0.009568853,"about_ca_system_score_codex":0.001288912,"about_ca_system_score_gemma":0.0014301738,"threshold_uncertainty_score":0.032010972},"labels":[],"label_agreement":null}]}