{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":64,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":64,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"c56ea11ecc88","filters":{"venue":"IEEE Power Engineering Society General Meeting, 2004."}},"results":[{"id":"W1892589332","doi":"10.1109/pes.2004.1373231","title":"Use of large capacity SMES to improve the power quality and stability of wind farms","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Wind power; Electric power system; Turbine; Superconducting magnetic energy storage; Transient (computer programming); Automotive engineering; Environmental science; Control theory (sociology); Electrical engineering; Power (physics); Computer science; Engineering; Control (management); Mechanical engineering; Physics; Superconducting magnet","retraction":null,"screen_n_in":null,"score":{"opus":0.01972668678064586,"gpt":0.2369761314184624,"spread":0.2172494446378165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001341831,0.000423606,0.0006328861,0.00005515629,0.0000689295,0.00004976592,0.0003311544,0.0002322646,0.00001497553],"category_scores_gemma":[0.0003168704,0.0003645263,0.0003321308,0.0003344754,0.0001231575,0.0002252182,0.00006190241,0.0003861547,0.00000320377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505407,"about_ca_system_score_gemma":0.00004596388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005850365,"about_ca_topic_score_gemma":0.00004850392,"domain_scores_codex":[0.9975223,0.0000702871,0.0008970191,0.0004085509,0.0004539082,0.0006479598],"domain_scores_gemma":[0.9984558,0.0002038757,0.0001629637,0.0007859545,0.0002076118,0.0001837545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001014954,0.00006760255,0.002797335,0.0003691629,0.0002752337,9.803734e-7,0.006843688,0.2584192,0.7297821,0.0005775467,0.000829833,0.00002717998],"study_design_scores_gemma":[0.002797706,0.0003765967,0.03309716,0.0005171574,0.0001419386,0.00001674556,0.0008359053,0.02549501,0.926789,0.000162367,0.007916431,0.001853911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731243,0.001113067,0.02262327,0.0001389899,0.001816479,0.000578222,0.0002263418,0.0002434932,0.0001358221],"genre_scores_gemma":[0.9914234,0.00002167616,0.008185633,0.0001230109,0.0001111385,0.00002872399,0.000002533886,0.00008167233,0.00002219127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2329242,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1570817337","doi":"10.1109/pes.2004.1373161","title":"Performance of \"WAMS East\" in providing dynamic information for the North East blackout of August 14, 2003","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"University of Alberta","keywords":"Blackout; Electric power system; Phasor; Task (project management); Interconnection; Computer science; Work (physics); Event (particle physics); Global Positioning System; Units of measurement; Engineering; Telecommunications; Systems engineering; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.005638326056985844,"gpt":0.1809929765261192,"spread":0.1753546504691334,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003709179,0.000156721,0.0002148923,0.00006355766,0.00007298657,0.00002425595,0.0002121139,0.00006973835,0.0000263038],"category_scores_gemma":[0.00005149041,0.0001214238,0.0001618628,0.0005351295,0.00004688877,0.0002834785,0.000007777619,0.000130898,0.00000510845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002444371,"about_ca_system_score_gemma":0.00007472682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008039889,"about_ca_topic_score_gemma":0.0001973513,"domain_scores_codex":[0.9989056,0.000008975587,0.0004128093,0.0001326075,0.000231192,0.0003087965],"domain_scores_gemma":[0.9994676,0.00003460782,0.0001827634,0.000156964,0.0001094267,0.00004871313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009734797,0.000008991799,0.02421441,0.0001096725,0.00004443101,1.344637e-7,0.001110371,0.9731865,0.000341797,0.000007120667,0.0002132746,0.0007535909],"study_design_scores_gemma":[0.0004627893,0.00008484236,0.0418193,0.0001010878,0.0000309791,0.000001868085,0.0003877262,0.9555004,0.0005747634,0.000004308312,0.0008554487,0.0001765384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923401,0.0004012285,0.006332121,0.00007561901,0.0003799059,0.0002348244,0.00008894738,0.00002378722,0.0001234823],"genre_scores_gemma":[0.993882,0.0001031126,0.005722834,0.00007272782,0.00005722021,0.00000415911,0.0000617406,0.000006787776,0.00008944283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768612,"threshold_uncertainty_score":0.4951518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1874132801","doi":"10.1109/pes.2004.1373274","title":"Modeling and simulation of the electric part of a grid connected microturbine","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Grid; Voltage; Software; Turbine; Three-phase; Computer science; Engineering; Electrical engineering; Control engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006368554679088664,"gpt":0.2005521401939309,"spread":0.1941835855148423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228764,0.0001271476,0.0001448948,0.00001600977,0.00004980778,0.000005025677,0.0001417272,0.00008700199,0.000009206576],"category_scores_gemma":[0.00007371402,0.0001021546,0.0000903762,0.0003029254,0.00006609473,0.00006749105,0.00005228296,0.0001280634,0.000001129192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007991062,"about_ca_system_score_gemma":0.000008478944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000669197,"about_ca_topic_score_gemma":0.000002941711,"domain_scores_codex":[0.9992403,0.000008874363,0.0002154272,0.0001772891,0.0001569744,0.000201151],"domain_scores_gemma":[0.9996801,0.00002725643,0.00007855838,0.0001722581,0.00001570871,0.00002610734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000158112,0.00001069551,0.0002584102,0.000007922215,0.000008068837,1.215477e-7,0.0001287563,0.6435646,0.3558955,0.00001609901,0.00003674285,0.00007152042],"study_design_scores_gemma":[0.0003381593,0.00004077162,0.0004526711,0.00005261957,0.00001344166,0.000002574071,0.00002443269,0.7142701,0.2842443,0.0002451697,0.0001714241,0.0001442921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188383,0.0003625903,0.08034361,0.00005467575,0.0001393961,0.0001398141,0.000003368978,0.00008291795,0.00003537699],"genre_scores_gemma":[0.985536,0.00004223458,0.01431475,0.00003377409,0.00002655378,0.000005765971,7.646777e-7,0.00001538505,0.00002472802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07165113,"threshold_uncertainty_score":0.4165742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1947586887","doi":"10.1109/pes.2004.1373142","title":"Under voltage load shedding for voltage stability overview of concepts and principles","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Capital Power (Canada)","funders":"","keywords":"Load Shedding; Voltage; Work (physics); Reliability engineering; Electric power system; Voltage regulation; Computer science; Measure (data warehouse); Electrical engineering; Power (physics); Engineering; Control engineering; Mechanical engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02652680752117857,"gpt":0.2640322447566436,"spread":0.237505437235465,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008715403,0.0003810826,0.0005155539,0.00003869434,0.0000877894,0.00005146183,0.0001942676,0.000214487,0.00003415837],"category_scores_gemma":[0.0001412978,0.0004052182,0.0003049292,0.0002353354,0.00008603576,0.0001893455,0.00004270674,0.0001997156,0.000002142781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206936,"about_ca_system_score_gemma":0.00009198175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004540849,"about_ca_topic_score_gemma":0.00001890923,"domain_scores_codex":[0.9980764,0.00001867113,0.0006537394,0.000415984,0.0003151242,0.000520106],"domain_scores_gemma":[0.9990103,0.00012331,0.0001061359,0.0003968656,0.0001843207,0.0001791295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006278726,0.0000441814,0.000545216,0.001060438,0.000118414,5.826105e-7,0.002124179,0.9258163,0.06845431,0.001437972,0.0003458388,0.00004630399],"study_design_scores_gemma":[0.004478848,0.0002216518,0.003687121,0.0009323641,0.0001460352,0.00001780971,0.0009214401,0.8182584,0.1467703,0.0003399625,0.02221039,0.002015697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3644149,0.004283097,0.6289074,0.00002756192,0.0009370124,0.0005303264,0.00009030501,0.0004325044,0.0003768952],"genre_scores_gemma":[0.9773165,0.0001847786,0.02210715,0.00005826827,0.00008102819,0.00006250469,0.00001125058,0.00008615717,0.00009234447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6129016,"threshold_uncertainty_score":0.99984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1819216207","doi":"10.1109/pes.2004.1373145","title":"Undervoltage load shedding scheme for the Hydro-Quebec system","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec","funders":"","keywords":"Tripping; Load Shedding; Upgrade; Reliability (semiconductor); Reliability engineering; Transmission system; Engineering; Scheme (mathematics); Overvoltage; Electric power transmission; Work (physics); Transmission (telecommunications); Computer science; Electric power system; Voltage; Circuit breaker; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007249222453695179,"gpt":0.204918512296129,"spread":0.1976692898424338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008435888,0.00044787,0.0003847612,0.00004089105,0.0002605876,0.0001635295,0.0004096685,0.0002413132,0.00001423392],"category_scores_gemma":[0.00007854209,0.0003947096,0.0004746657,0.0003423965,0.00004616802,0.0001896925,0.00003426266,0.0003114305,0.00002636018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540762,"about_ca_system_score_gemma":0.000114492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003346136,"about_ca_topic_score_gemma":0.0001074242,"domain_scores_codex":[0.9978742,0.00001935202,0.000555301,0.0004070824,0.0004062586,0.0007377813],"domain_scores_gemma":[0.9989257,0.0001463209,0.00007920978,0.0005591654,0.0001429659,0.0001466755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003335446,0.00001530789,0.00003998592,0.0003580707,0.0001670717,0.000001600346,0.001119193,0.9790328,0.01349475,0.00103244,0.004701856,0.00003360621],"study_design_scores_gemma":[0.001045161,0.00002181626,0.00009459143,0.0002388214,0.00004919359,0.00001574193,0.0004103136,0.9673674,0.0104896,0.00001160936,0.01961858,0.0006371939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06021703,0.002524064,0.9293516,0.0001532939,0.004132007,0.0007688914,0.00003843138,0.001865862,0.0009488643],"genre_scores_gemma":[0.9652809,0.00003371668,0.03330444,0.00009478744,0.0004520798,0.0001946759,0.00001054963,0.0001524886,0.0004763723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9050639,"threshold_uncertainty_score":0.9998505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1960669369","doi":"10.1109/pes.2004.1372772","title":"Integrating security constraints in optimal power flow studies","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Power flow; Computer science; Power (physics); Transient (computer programming); Electric power system; Flow (mathematics); Power-flow study; Stability (learning theory); State (computer science); Steady state (chemistry); Reliability engineering; Engineering; Mathematics; Operating system; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.008383108265596479,"gpt":0.2317767881814443,"spread":0.2233936799158478,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007981386,0.0005154155,0.0005736346,0.000104166,0.00009287189,0.00008024704,0.0002655499,0.0002601201,0.00006395328],"category_scores_gemma":[0.0002060405,0.0005412095,0.0003033728,0.0004953384,0.0001213397,0.0002491694,0.00004706083,0.0005961474,0.00002480396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007465028,"about_ca_system_score_gemma":0.00006719199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002606328,"about_ca_topic_score_gemma":0.00002726613,"domain_scores_codex":[0.997629,0.00004376598,0.0007366369,0.0004695601,0.0003414227,0.0007796422],"domain_scores_gemma":[0.999157,0.00008214176,0.00007184317,0.0003645172,0.0001387633,0.0001857295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002982706,0.00004290316,0.0002719208,0.0001284871,0.0001362821,0.00001338401,0.01031925,0.9833831,0.003907226,0.0002202335,0.001530997,0.00004330463],"study_design_scores_gemma":[0.002810079,0.0001152106,0.0005091264,0.0009375673,0.00004196356,0.00006412624,0.004398968,0.9709108,0.01502716,0.0001255011,0.003175852,0.001883678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685811,0.004023252,0.2181275,0.0001349788,0.004336916,0.0005492644,0.00005495154,0.001484548,0.002707467],"genre_scores_gemma":[0.9380802,0.00009785242,0.06144421,0.00009082091,0.00009396893,0.00005317571,0.000009112227,0.00008943402,0.00004124964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694991,"threshold_uncertainty_score":0.9997039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076136622","doi":"10.1109/pes.2004.1373160","title":"Data management issues associated with the August 14, 2003 blackout investigation","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Natural Environment Research Council","keywords":"Blackout; Electricity; Work (physics); Engineering; Interim; Task (project management); Scope (computer science); Task force; Aeronautics; Electric power industry; Electric power; Operations research; Operations management; Computer security; Computer science; Electric power system; Power (physics); Systems engineering; Political science; Electrical engineering; Public administration","retraction":null,"screen_n_in":null,"score":{"opus":0.01161543894657664,"gpt":0.208381064192619,"spread":0.1967656252460423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009164548,0.0004088313,0.0003027537,0.00003950477,0.0001470154,0.0001218827,0.000753771,0.0001780142,0.00001436125],"category_scores_gemma":[0.00009395517,0.0003235583,0.00009747955,0.000665481,0.0001029903,0.0003004679,0.0000939795,0.0003984701,0.00003928682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829827,"about_ca_system_score_gemma":0.00004499574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007121677,"about_ca_topic_score_gemma":0.00005478588,"domain_scores_codex":[0.9979894,0.00003668281,0.0003668059,0.0004787213,0.0004579198,0.0006704988],"domain_scores_gemma":[0.9986046,0.00003901283,0.00008650504,0.0009858693,0.0001421873,0.0001418577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002802067,0.0000256103,0.00007740619,0.0001475408,0.0003811007,0.000009610664,0.001109099,0.8112014,0.002304491,0.0004032299,0.1842985,0.00003925281],"study_design_scores_gemma":[0.005293929,0.0002855,0.005071613,0.003451201,0.0005880514,0.00006163554,0.001458116,0.4238963,0.0263756,0.0002964904,0.5290996,0.004122026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7143949,0.009779591,0.2468233,0.003022914,0.008453778,0.002807705,0.0004303248,0.005584489,0.008703014],"genre_scores_gemma":[0.9714454,0.0003537808,0.02246547,0.0005981904,0.0004971018,0.0001413096,0.0001965241,0.0002337589,0.004068478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3873051,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1857122105","doi":"10.1109/pes.2004.1373129","title":"Generating units aggregation for dynamic equivalent of large power systems","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electric power system; Stability (learning theory); Computer science; Transient (computer programming); Basis (linear algebra); Control theory (sociology); Domain (mathematical analysis); Dynamic testing; Base (topology); Time domain; Power (physics); Algorithm; Mathematics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.008874309575853943,"gpt":0.2286422317348905,"spread":0.2197679221590365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007641387,0.0003949496,0.0004618687,0.00008692215,0.0001198518,0.00006927975,0.0002347153,0.0002507001,0.0000143488],"category_scores_gemma":[0.0001211801,0.0004329788,0.0002786773,0.0004592832,0.00002667074,0.0001851572,0.00002662198,0.0002048909,0.000005694018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683093,"about_ca_system_score_gemma":0.00007321283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002189359,"about_ca_topic_score_gemma":0.000006683249,"domain_scores_codex":[0.9978263,0.00003214087,0.0007758235,0.0003611255,0.000350204,0.0006543482],"domain_scores_gemma":[0.9988958,0.00006556496,0.0001557114,0.0004012542,0.000326297,0.0001553633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003437225,0.00003419297,0.00004764536,0.0004208525,0.0001140504,7.686908e-7,0.001591396,0.9514682,0.04491958,0.0004100863,0.0009775413,0.00001230422],"study_design_scores_gemma":[0.001193899,0.00007045044,0.0000560243,0.000313547,0.00003313915,0.000008324972,0.0002865788,0.9814323,0.01306252,0.000007676924,0.003018928,0.0005165811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3161679,0.002136802,0.6774348,0.0000219512,0.002824778,0.0005643719,0.0001373005,0.0005284487,0.0001836684],"genre_scores_gemma":[0.9729778,0.00004940278,0.02640894,0.00003515965,0.0000791691,0.0001113329,0.00005707871,0.0001246016,0.0001564787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.65681,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118084297","doi":"10.1109/pes.2004.1372959","title":"A \"critical impedance\" based method for identifying harmonic sources","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Harmonic; Harmonic analysis; Electrical impedance; Computer science; Field (mathematics); Point (geometry); Electronic engineering; Power (physics); Engineering; Electrical engineering; Acoustics; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02557421181064063,"gpt":0.2995688266969976,"spread":0.273994614886357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001065202,0.0005129368,0.0004873472,0.00008770874,0.000217154,0.0001998097,0.0003970586,0.000325593,0.00002856782],"category_scores_gemma":[0.0002175192,0.0005931802,0.0006910755,0.0003264293,0.00006007333,0.0002701213,0.00003269806,0.0005288778,0.00002856871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953376,"about_ca_system_score_gemma":0.00009888378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003914957,"about_ca_topic_score_gemma":0.00000530852,"domain_scores_codex":[0.9973719,0.00003468929,0.0005815556,0.0005117261,0.0003902384,0.001109868],"domain_scores_gemma":[0.9987963,0.0003281244,0.00006001921,0.0004093019,0.000121186,0.0002850681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007734978,0.00004537337,0.000009230154,0.0005070125,0.0001515956,0.000005447657,0.001427268,0.8413959,0.1512109,0.001430244,0.003579918,0.0002294341],"study_design_scores_gemma":[0.001529242,0.00007649246,0.00005453631,0.0002943416,0.0001161392,0.00001668806,0.0001399031,0.7284771,0.2494321,0.000661311,0.01817457,0.001027546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08071064,0.0034973,0.9112366,0.0003372595,0.00238187,0.0003242649,0.00006560548,0.001310279,0.0001361661],"genre_scores_gemma":[0.5256183,0.00006576288,0.4727657,0.000498052,0.0005854167,0.0001639872,0.00001834413,0.0002013744,0.00008304313],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4449077,"threshold_uncertainty_score":0.999652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1919443814","doi":"10.1109/pes.2004.1373277","title":"Deterministic/probabilistic contingency evaluation in composite generation and transmission systems","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Probabilistic logic; Computer science; Transmission system; Electric power system; Business system planning; Component (thermodynamics); Contingency; Transmission (telecommunications); Point (geometry); Mathematical optimization; Power (physics); Engineering; Artificial intelligence; Mathematics; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01049985908904045,"gpt":0.2168362416346241,"spread":0.2063363825455836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00102413,0.0003235148,0.0003456544,0.00007114182,0.00007952406,0.00009173986,0.0001289818,0.000210868,0.000004512298],"category_scores_gemma":[0.00006564828,0.0003421763,0.0001120526,0.000222683,0.00003713477,0.0001686342,0.00001296814,0.0002522337,0.000005988198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004794495,"about_ca_system_score_gemma":0.00004829088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076243,"about_ca_topic_score_gemma":0.00001696744,"domain_scores_codex":[0.9981807,0.00005278395,0.0005679838,0.0003901169,0.0003407918,0.0004675995],"domain_scores_gemma":[0.9994127,0.00004579783,0.00006099871,0.0002399076,0.0001039181,0.0001366936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002447604,0.00002243286,0.00008127016,0.0002836578,0.0000233694,0.000003505141,0.001286277,0.8753009,0.1222339,0.0001438057,0.0002070033,0.0004114257],"study_design_scores_gemma":[0.000998397,0.00004530176,0.0007644464,0.000484183,0.00003855603,0.00002780757,0.00005070377,0.9904214,0.005629422,0.00004915451,0.001052513,0.0004381791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881295,0.005577584,0.1027879,0.00004424022,0.002103285,0.0007031891,0.00001025034,0.0003491667,0.00029483],"genre_scores_gemma":[0.9924825,0.0001508113,0.006886122,0.00002350071,0.0002245518,0.0001262627,0.00001536748,0.00006008968,0.00003078182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1166044,"threshold_uncertainty_score":0.999903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1915520581","doi":"10.1109/pes.2004.1373022","title":"Frequency domain analysis of electromagnetic transients through the numerical Laplace transforms","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Laplace transform; Complement (music); Computer science; Frequency domain; Laplace transform applied to differential equations; Electronic engineering; Inverse Laplace transform; Time domain; Domain (mathematical analysis); Relevance (law); Algorithm; Engineering; Mathematics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.003589629513029009,"gpt":0.2036798976721392,"spread":0.2000902681591102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002396219,0.0003325454,0.0004564628,0.00005395815,0.0001506001,0.00004005265,0.0003559515,0.00008113356,0.00012312],"category_scores_gemma":[0.000003882768,0.0002559317,0.0006938843,0.00113314,0.00007143843,0.0001027264,0.00001095092,0.0003367499,0.000006934061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009431448,"about_ca_system_score_gemma":0.00007351502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006888934,"about_ca_topic_score_gemma":0.000003947708,"domain_scores_codex":[0.9980993,0.00003373119,0.0004464643,0.0003658996,0.0003559205,0.0006987457],"domain_scores_gemma":[0.9993268,0.00004969418,0.0001138033,0.0003527616,0.00005586463,0.0001010405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000019989,0.0004704469,0.002051484,0.00004953364,0.004428731,0.00000271408,0.02673145,0.4344915,0.5045292,0.02574136,0.001278159,0.0002053907],"study_design_scores_gemma":[0.02518473,0.006673931,0.03240582,0.0008169067,0.01684846,0.00004972227,0.007218881,0.07876906,0.706871,0.09517943,0.0186157,0.01136635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778217,0.0005255531,0.1179124,0.0003642701,0.0002213194,0.0001840297,0.00002870462,0.00008425229,0.002857671],"genre_scores_gemma":[0.9769841,0.00001135793,0.02243559,0.000104758,0.0001980986,0.00003949851,0.00002608513,0.00004406117,0.0001564085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3557225,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1523828004","doi":"10.1109/pes.2004.1373088","title":"Status of Gulf co-operation council (GCC) electricity grid system interconnection","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Interconnection; Electricity; Grid; Power grid; Telecommunications; Business; Engineering; Power (physics); Geography; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00795472724828926,"gpt":0.1909120970938541,"spread":0.1829573698455648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004006347,0.0003125454,0.0003335302,0.00006313846,0.00008154893,0.00005857094,0.000135049,0.000203171,0.00001908906],"category_scores_gemma":[0.000043377,0.0003399643,0.0002235921,0.0002436163,0.0000206348,0.0002111702,0.00001039088,0.0002615771,0.00002142871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808513,"about_ca_system_score_gemma":0.0001303991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365441,"about_ca_topic_score_gemma":0.00001847931,"domain_scores_codex":[0.9982318,0.00001997925,0.0004972524,0.0002705894,0.0003994507,0.0005808931],"domain_scores_gemma":[0.9993158,0.00002703652,0.00009167106,0.0002278385,0.000206742,0.0001309412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006539215,0.00001864173,0.0000450581,0.0001417195,0.0000918658,0.000001129067,0.0007035743,0.8063505,0.1900413,0.00007565083,0.00235021,0.0001738091],"study_design_scores_gemma":[0.0013433,0.0001022619,0.0001340804,0.0001592133,0.00005490349,0.00001889296,0.0001125982,0.8020965,0.1879654,0.00000463644,0.007502275,0.0005058625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4656752,0.004753295,0.5234753,0.00002376848,0.003305184,0.0004267076,0.00006196143,0.001291056,0.000987483],"genre_scores_gemma":[0.9875575,0.0005202042,0.01113163,0.00003752672,0.0005534218,0.00003607661,0.000040675,0.00008597362,0.00003698873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5218823,"threshold_uncertainty_score":0.9999052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1560801891","doi":"10.1109/pes.2004.1373171","title":"Power quality control of hybrid wind power generation with battery storage using fuzzy-LQR controller","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Linear-quadratic regulator; Controller (irrigation); Fuzzy logic; Fuzzy control system; Wind power; Control engineering; Computer science; Power (physics); PID controller; Engineering; Control (management); Temperature control","retraction":null,"screen_n_in":null,"score":{"opus":0.01056721447657498,"gpt":0.2175282261375154,"spread":0.2069610116609404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00122204,0.0009281655,0.001245093,0.0001795397,0.0001545256,0.0001409234,0.000470453,0.0003190157,0.00006055536],"category_scores_gemma":[0.0001009759,0.0009222438,0.0006009795,0.0004202332,0.0001393902,0.000503478,0.00002904204,0.0006538891,0.00002194695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008752895,"about_ca_system_score_gemma":0.0001511977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000175606,"about_ca_topic_score_gemma":0.000006925547,"domain_scores_codex":[0.9956493,0.0001259509,0.001384057,0.0007491564,0.0009224639,0.001169057],"domain_scores_gemma":[0.9979793,0.0001418368,0.0003737703,0.0008143685,0.0003781248,0.0003125563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002413822,0.00005045668,0.0001962776,0.00007633285,0.0004839781,0.00002101378,0.0006556549,0.6324037,0.3648675,0.0001796549,0.001036036,0.000005256099],"study_design_scores_gemma":[0.02220737,0.000784825,0.001602951,0.001234351,0.0004900214,0.0004523731,0.0003919028,0.7739697,0.1893163,0.00008071653,0.004583856,0.004885626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6440029,0.002713724,0.3478465,0.00005548261,0.00338584,0.0006731988,0.00010633,0.000546927,0.0006690856],"genre_scores_gemma":[0.9886119,0.00001875893,0.01003114,0.0002448573,0.0006289219,0.00005292948,0.00001683437,0.0002991818,0.00009546537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.344609,"threshold_uncertainty_score":0.9993228,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1539845155","doi":"10.1109/pes.2004.1373204","title":"Hopf bifurcations and critical mode damping of power systems for different static load models","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Constant (computer programming); Electric power system; Hopf bifurcation; Work (physics); Power (physics); Oscillation (cell signaling); Damping ratio; Mode (computer interface); Eigenvalues and eigenvectors; Electrical impedance; Magnetic damping; Mechanics; Physics; Computer science; Engineering; Vibration; Bifurcation; Control (management); Acoustics; Mechanical engineering; Electrical engineering; Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.01212212346527535,"gpt":0.2414737697011766,"spread":0.2293516462359012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003325897,0.0003431273,0.0004600825,0.00006363809,0.00009459872,0.00007641503,0.000159298,0.0001769578,0.000005744005],"category_scores_gemma":[0.0001209761,0.0003530099,0.0002127561,0.0001747427,0.00006184384,0.0002084618,0.00002421385,0.0001765833,0.000001358703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569688,"about_ca_system_score_gemma":0.00006081231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005496084,"about_ca_topic_score_gemma":0.000004320258,"domain_scores_codex":[0.9982063,0.00002338006,0.0006139398,0.0003391625,0.0003179312,0.0004993035],"domain_scores_gemma":[0.9990185,0.0001578139,0.00006404033,0.0003362984,0.0002266911,0.0001966877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003557238,0.00004624351,0.00003426168,0.0006350526,0.0000883845,3.943899e-7,0.002466645,0.9850123,0.007904715,0.00315473,0.0006485131,0.000005222559],"study_design_scores_gemma":[0.0006687649,0.00005054149,0.00006438461,0.000262608,0.00004032008,0.000006583351,0.0002327026,0.9952281,0.002527429,0.0002052326,0.0003201103,0.0003932474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1906202,0.002222089,0.8047916,0.0000724499,0.001199664,0.0004340791,0.0001172593,0.0003369126,0.0002056983],"genre_scores_gemma":[0.9760599,0.0001070844,0.02349024,0.00002990479,0.00004257157,0.0001297085,0.00001244998,0.00008537617,0.00004271973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7854397,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001678765","doi":"10.1109/pes.2004.1373295","title":"Sustainable electric power systems in the 21st century: requirements, challenges and the role of new technologies","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Prosperity; Monopolistic competition; Sustainability; Restructuring; Electricity; Business; Electric power industry; Sustainable development; Environmental economics; Industrial organization; Natural resource economics; Economic system; Engineering; Economics; Market economy; Economic growth; Finance; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006973726586038293,"gpt":0.1974990673119289,"spread":0.1905253407258906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067925,0.0002835043,0.0003575112,0.00008298603,0.00007511854,0.00006990563,0.0003902888,0.000187004,0.000002752739],"category_scores_gemma":[0.0001091566,0.0001983405,0.0001351808,0.000448506,0.0000664612,0.000143198,0.00004288179,0.0003120761,0.000001597673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002206439,"about_ca_system_score_gemma":0.00004674519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002258933,"about_ca_topic_score_gemma":0.000007837179,"domain_scores_codex":[0.9983853,0.00005504662,0.0004448875,0.000256032,0.0003071745,0.0005516049],"domain_scores_gemma":[0.9992827,0.00008004404,0.00008305882,0.0004376737,0.00006809608,0.00004841223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001252166,0.00004952481,0.00007708574,0.0003233552,0.0001361301,0.000003210087,0.01751562,0.9283448,0.003591057,0.04910892,0.0005250547,0.000312675],"study_design_scores_gemma":[0.01508618,0.0005385598,0.002049834,0.001410744,0.0002612411,0.0001715741,0.3144208,0.4071252,0.03033919,0.004443845,0.2204713,0.003681512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2620423,0.7008755,0.01356069,0.001648944,0.002066443,0.002933205,0.00001320246,0.002005331,0.01485442],"genre_scores_gemma":[0.9926186,0.006416742,0.0007515675,0.00002037251,0.00002880766,0.0000653165,0.000001490145,0.00004172529,0.00005534212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7305763,"threshold_uncertainty_score":0.808809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4239606557","doi":"10.1109/pes.2004.1372917","title":"Status and future directions of power system harmonic analysis","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harmonic analysis; Harmonic; Power (physics); Computer science; Electronic engineering; Electrical engineering; Physics; Engineering; Acoustics","retraction":null,"screen_n_in":null,"score":{"opus":0.003676797457596681,"gpt":0.1891491248803418,"spread":0.1854723274227451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003584296,0.0003606115,0.0005585462,0.0001459775,0.00008672947,0.00004295001,0.0001667014,0.0002304268,0.00001274276],"category_scores_gemma":[0.00001961409,0.000366732,0.0004729572,0.0009270585,0.00005133494,0.0001422171,0.0000280764,0.0002979643,0.000006964633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239751,"about_ca_system_score_gemma":0.00003959149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001819367,"about_ca_topic_score_gemma":0.00002131574,"domain_scores_codex":[0.9981861,0.00002248751,0.000514131,0.0003695221,0.0002744956,0.000633338],"domain_scores_gemma":[0.999118,0.0000363362,0.00008922035,0.0004302764,0.000108218,0.0002179944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005951073,0.00005075968,0.0007427838,0.0006498236,0.001784257,0.000005993893,0.004347086,0.9639757,0.0256385,0.001136661,0.001542616,0.0001198255],"study_design_scores_gemma":[0.007587587,0.0006579408,0.04870071,0.00283049,0.004193772,0.0002082767,0.008875078,0.3920652,0.1306598,0.0001494729,0.396944,0.007127675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307158,0.01809129,0.04458604,0.0001008316,0.003741961,0.0003284076,0.00009134063,0.001208332,0.00113599],"genre_scores_gemma":[0.9928522,0.0008771988,0.005832225,0.00002060291,0.0002229751,0.00003552559,0.000007349265,0.00006885229,0.00008303927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5719105,"threshold_uncertainty_score":0.9998785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166305148","doi":"10.1109/pes.2004.1372857","title":"A sequential phase energization technique for transformer inrush current reduction part 1: simulation and experimental results","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Inrush current; Resistor; Transformer; Electrical engineering; Ground; Voltage; Delta-wye transformer; Control theory (sociology); Electronic engineering; Computer science; Current transformer; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02025595784381788,"gpt":0.2950415544659289,"spread":0.274785596622111,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017748,0.0001795614,0.0001355515,0.00002747202,0.0001746342,0.00006898901,0.00008338923,0.00009308052,0.00002324737],"category_scores_gemma":[0.00002044106,0.0001777082,0.00009397227,0.0001058102,0.00004708049,0.0001618237,0.00001098948,0.0000781774,0.000002704413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204691,"about_ca_system_score_gemma":0.00004030091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004789753,"about_ca_topic_score_gemma":8.915544e-7,"domain_scores_codex":[0.9988727,0.00001311927,0.0003382316,0.0003464019,0.0001600895,0.0002694811],"domain_scores_gemma":[0.9996033,0.00001331076,0.0000882306,0.000148284,0.00006559578,0.00008125677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002616662,0.0000704508,1.590771e-7,0.00002601564,0.000003784534,5.725182e-8,0.0007125621,0.3432215,0.6552032,0.0001111609,0.0004947439,0.0001301859],"study_design_scores_gemma":[0.001557157,0.0001570206,0.000001033767,0.00006372429,0.00001835778,0.000004994136,0.00005811215,0.05070162,0.9319437,0.00004287865,0.01522263,0.0002288364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5823445,0.0009431433,0.4147426,0.0001462847,0.000792608,0.0007486567,0.00008486739,0.0001573165,0.00003998621],"genre_scores_gemma":[0.972111,0.00005018075,0.02670242,0.00002608453,0.0004550946,0.000489765,0.00006699823,0.00003170575,0.00006677824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3897664,"threshold_uncertainty_score":0.724673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1493729624","doi":"10.1109/pes.2004.1373120","title":"Optimal reactive power allocation in a wind powered doubly-fed induction generator","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"AC power; Converters; Power factor; Control theory (sociology); Induction generator; Compensation (psychology); Power (physics); Power control; Rotor (electric); Generator (circuit theory); Wind power; Computer science; Engineering; Electrical engineering; Control (management); Voltage; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.006459663210952968,"gpt":0.2011516134570687,"spread":0.1946919502461157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005654545,0.000635103,0.0005558738,0.0002128182,0.00009067645,0.0001240878,0.0003130091,0.0004902023,0.00002571744],"category_scores_gemma":[0.00007020109,0.0007225334,0.0003245222,0.0006954023,0.00003891551,0.0004914094,0.00003374974,0.0007307142,0.00006339294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313163,"about_ca_system_score_gemma":0.0001052053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00021278,"about_ca_topic_score_gemma":0.00001738098,"domain_scores_codex":[0.997164,0.00004339712,0.0007483009,0.0006196667,0.000490254,0.0009343852],"domain_scores_gemma":[0.9989534,0.00003759973,0.0001290114,0.0004991449,0.0001433575,0.0002375117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001448062,0.0000468518,0.0001155738,0.0000349506,0.0001290988,0.00001121427,0.001923856,0.693688,0.3027825,0.00007022401,0.001156849,0.00002637528],"study_design_scores_gemma":[0.01963895,0.0007942559,0.01504797,0.001472415,0.0002442946,0.0003400802,0.001559145,0.4721176,0.4565378,0.0001162655,0.02524048,0.006890747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978993,0.001427137,0.01334202,0.0001566212,0.003791551,0.0006296312,0.00001675005,0.0009192809,0.0007240346],"genre_scores_gemma":[0.9880261,0.00002957307,0.01050095,0.00008580239,0.0008794142,0.000100909,0.0000308719,0.000211356,0.000135001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215704,"threshold_uncertainty_score":0.9995226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167040674","doi":"10.1109/pes.2004.1373273","title":"Comprehensive analysis of a dispersed generation scheme based on microturbine and induction generator","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Alternator; Induction generator; Rectifier (neural networks); Rotor (electric); Inverter; Control theory (sociology); Engineering; Pulse-width modulation; PWM rectifier; Transient (computer programming); Permanent magnet synchronous generator; Generator (circuit theory); Wound rotor motor; Electrical engineering; Automotive engineering; Voltage; Power (physics); Induction motor; Computer science; Physics; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.008992210803338941,"gpt":0.2033949379987748,"spread":0.1944027271954358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002022268,0.0004081176,0.0005706645,0.0002793004,0.00007364494,0.00005424231,0.0001289095,0.0002345758,0.00001232566],"category_scores_gemma":[0.00002656271,0.0004279192,0.0003692204,0.0008541999,0.00004005298,0.0001163437,0.00001382634,0.0002679168,0.000004182942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757986,"about_ca_system_score_gemma":0.00003277331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008407327,"about_ca_topic_score_gemma":0.000009091915,"domain_scores_codex":[0.998346,0.00002937624,0.0004986298,0.0004015589,0.0003266939,0.0003977478],"domain_scores_gemma":[0.9992074,0.00003715477,0.0001065697,0.0003638799,0.0001402957,0.0001446736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003445157,0.00001906582,0.00015831,0.00004617319,0.0004173703,0.000001189399,0.0002091958,0.5374798,0.4612273,0.00002515002,0.0003913102,0.00002166108],"study_design_scores_gemma":[0.001216123,0.00006761611,0.001891148,0.0000641142,0.0002408353,0.000002900067,0.00003008662,0.883265,0.1120304,0.000001113305,0.0007799059,0.0004108298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593486,0.001165048,0.03765453,0.0000722715,0.00104051,0.0003007833,0.00004073349,0.0003200228,0.0000574728],"genre_scores_gemma":[0.981864,0.00002730534,0.01722154,0.0001292929,0.0005331511,0.00004687759,0.00006822446,0.00008561473,0.0000239935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3491969,"threshold_uncertainty_score":0.9998173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135710804","doi":"10.1109/pes.2004.1373019","title":"Optimization-enabled electromagnetic transient simulation","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Research Manitoba; University of Manitoba","funders":"","keywords":"Emtp; Transient (computer programming); Computer science; Converters; Range (aeronautics); Power (physics); Electric power system; Control theory (sociology); Mathematical optimization; Engineering; Control (management); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.004118073974526073,"gpt":0.1946606635720669,"spread":0.1905425895975408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002354156,0.0003663625,0.0003156579,0.0000810797,0.000102669,0.000119723,0.0001677485,0.0002053024,0.00008376849],"category_scores_gemma":[0.00002470513,0.0004046969,0.0002815282,0.000396303,0.00001753007,0.0002317645,0.000006847794,0.0002351666,0.00004084277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172511,"about_ca_system_score_gemma":0.00003691266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003114684,"about_ca_topic_score_gemma":0.000002082427,"domain_scores_codex":[0.9982359,0.0000211109,0.0004922221,0.0003135215,0.0003446916,0.0005925547],"domain_scores_gemma":[0.9993404,0.00004872911,0.00005817682,0.0002827051,0.00009861447,0.0001713299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003941345,0.00002090537,0.000007996657,0.00004837757,0.00008210327,0.000002031019,0.0005547685,0.9500445,0.04857815,0.00005646218,0.0005264561,0.00007434266],"study_design_scores_gemma":[0.001314383,0.00005424873,0.0001184288,0.00006267071,0.00003164813,0.000005284533,0.00002393813,0.9919837,0.003485848,0.00001182104,0.002465065,0.0004430182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2203526,0.001069476,0.7729483,0.00007650025,0.001301888,0.0004715725,0.000006295066,0.001471036,0.002302298],"genre_scores_gemma":[0.978818,0.00004499853,0.02021331,0.00009256911,0.0003626987,0.0000474411,0.000021129,0.0001239325,0.0002759091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7584653,"threshold_uncertainty_score":0.9998405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1827877219","doi":"10.1109/pes.2004.1372948","title":"Experiences in aggregating distributed generation for system benefit","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Bruce Power","keywords":"Dispatchable generation; Standby power; Electric power system; Electricity generation; Demand response; Computer science; Generator (circuit theory); Business; Power (physics); Electrical engineering; Reliability engineering; Distributed generation; Engineering; Electricity; Renewable energy","retraction":null,"screen_n_in":null,"score":{"opus":0.007933430593306187,"gpt":0.2051679023230546,"spread":0.1972344717297484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003236278,0.0003089183,0.0002825763,0.00006241662,0.0001409127,0.00008380915,0.0002262165,0.0002076125,0.000003750994],"category_scores_gemma":[0.00004871471,0.0003296571,0.0002010261,0.0003693552,0.00003301859,0.00019888,0.00001770461,0.0002244126,0.000005267039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004633797,"about_ca_system_score_gemma":0.00002918045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005668364,"about_ca_topic_score_gemma":0.00002945198,"domain_scores_codex":[0.9983461,0.000008835626,0.0004390532,0.0003535477,0.000241121,0.0006113181],"domain_scores_gemma":[0.9995087,0.0000444391,0.00005805644,0.0002151415,0.00005801293,0.0001156008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001779438,0.00001504744,0.00006783712,0.0001429007,0.0000242825,0.000003522877,0.005404389,0.9347298,0.05858349,0.0003383712,0.0006340273,0.00005453204],"study_design_scores_gemma":[0.0008017836,0.00004497376,0.0001226954,0.0003512331,0.00001238427,0.00001602236,0.001814009,0.880105,0.1151855,0.00001399413,0.0009814632,0.00055104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786645,0.001496375,0.1162821,0.00003301855,0.002545373,0.0003182283,0.00002788138,0.0005772096,0.00005535057],"genre_scores_gemma":[0.9806741,0.00004126353,0.01810875,0.00002896769,0.0007498682,0.0002803691,0.00003835327,0.00006042336,0.00001790992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020096,"threshold_uncertainty_score":0.9999155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1551858500","doi":"10.1109/pes.2004.1372878","title":"A study on the optimal reliability criteria decision for a transmission system expansion planning","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Electric power system; Electricity market; Transmission (telecommunications); Constraint (computer-aided design); Grid; Total cost; Transmission system; Business system planning; Operations research; Mathematical optimization; Electricity; Engineering; Power (physics); Economics; Mathematics; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01358268503819843,"gpt":0.2504957830602371,"spread":0.2369130980220386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001717174,0.000516255,0.000485376,0.00005873313,0.0002839447,0.0001097409,0.0004332731,0.0002448067,0.000005265823],"category_scores_gemma":[0.0001486918,0.0003935085,0.0004568937,0.0002898283,0.00003682219,0.000153463,0.00003164022,0.0004308083,0.0000135644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621905,"about_ca_system_score_gemma":0.00004632571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002542585,"about_ca_topic_score_gemma":8.069474e-7,"domain_scores_codex":[0.9974328,0.00005872069,0.0006843107,0.0006095619,0.0004740423,0.0007406247],"domain_scores_gemma":[0.9985697,0.0003408383,0.00007618718,0.0007080935,0.000121237,0.0001839733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005181028,0.0001229046,0.00003024486,0.0002778654,0.00007150057,0.000008702512,0.005864701,0.964527,0.02471079,0.0001130253,0.004108948,0.0001125853],"study_design_scores_gemma":[0.005793696,0.001651001,0.001475509,0.005785399,0.0001838929,0.00007878003,0.007476882,0.892704,0.06383478,0.0001189422,0.01865145,0.00224571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6051689,0.0003681075,0.3906355,0.00008092308,0.001821484,0.001075087,0.00001649909,0.0007262313,0.0001073328],"genre_scores_gemma":[0.9735509,0.000009778017,0.02553746,0.00006379702,0.0002799746,0.0003964311,0.000004419732,0.0001212548,0.00003599446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368382,"threshold_uncertainty_score":0.9998517,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971096171","doi":"10.1109/pes.2004.1373143","title":"On composite load modeling for voltage stability and under voltage load shedding","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Jacobs (Canada)","funders":"","keywords":"Load Shedding; Voltage; Computer science; Dynamic load testing; Control theory (sociology); Voltage regulation; Aggregate (composite); Stability (learning theory); Reliability engineering; Electric power system; Engineering; Control (management); Power (physics); Structural engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01161401058515399,"gpt":0.2207516398291873,"spread":0.2091376292440333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000925211,0.0005208845,0.0004833584,0.00005161716,0.0001992093,0.0001400302,0.0002143846,0.0002711105,0.0000246255],"category_scores_gemma":[0.0001098851,0.0005661608,0.0003171887,0.0002339558,0.00004656719,0.0002219123,0.00003846242,0.0003640873,0.000008472634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303714,"about_ca_system_score_gemma":0.00009578673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006956202,"about_ca_topic_score_gemma":0.00001763658,"domain_scores_codex":[0.9975849,0.00001857725,0.0005912592,0.0006040033,0.0004672543,0.0007340263],"domain_scores_gemma":[0.9988815,0.000124533,0.00006324288,0.0004566967,0.0002132197,0.0002607789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001399131,0.00004339165,0.00005479132,0.0002560923,0.00008927933,0.000001094797,0.001492356,0.945189,0.05187218,0.0005228664,0.0004393402,0.00002560513],"study_design_scores_gemma":[0.001322032,0.0000605136,0.00004811129,0.000167656,0.00003135515,0.00000554782,0.0001319057,0.9837937,0.012878,0.0002304931,0.0006723684,0.0006582892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.369823,0.000703365,0.6269786,0.00003601497,0.0009581161,0.0003957605,0.00004514337,0.0006411624,0.0004188689],"genre_scores_gemma":[0.9796277,0.00004311831,0.01974762,0.0001573394,0.0001251359,0.0000738228,0.00001417258,0.0001309084,0.00008023287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6098046,"threshold_uncertainty_score":0.999679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127603156","doi":"10.1109/pes.2004.1372856","title":"A sequential phase energization technique for transformer inrush current reduction part II: theoretical analysis and design guide","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Inrush current; Transformer; Resistor; Circuit breaker; Voltage; Computer science; Control theory (sociology); Limiting; Current limiting; Electrical engineering; Electronic engineering; Topology (electrical circuits); Engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01336318268630764,"gpt":0.2686332053239877,"spread":0.25527002263768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000622129,0.0002064397,0.0002187498,0.00005676009,0.000244028,0.00007380436,0.0001312583,0.0001108762,0.0001084652],"category_scores_gemma":[0.00003261157,0.0001894044,0.000196841,0.0003147608,0.0001173035,0.0001042816,0.00001682626,0.00009708993,0.000001981369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000363,"about_ca_system_score_gemma":0.00006349597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005691415,"about_ca_topic_score_gemma":0.000001603832,"domain_scores_codex":[0.9986866,0.00002702151,0.0003678044,0.0003877905,0.0001848488,0.0003459718],"domain_scores_gemma":[0.9995021,0.00001927985,0.00007714893,0.0001975064,0.0000932369,0.0001106839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001382442,0.00008757337,9.095559e-7,0.00003364392,0.00004081957,1.249447e-7,0.0005097064,0.139358,0.8552048,0.00319393,0.00128461,0.000272051],"study_design_scores_gemma":[0.0007382009,0.0001770281,0.00000196817,0.00004344636,0.0002688911,0.000007754669,0.00002819511,0.03577939,0.9532771,0.0005465869,0.008833951,0.0002974515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1559466,0.0005223313,0.8421606,0.0002597873,0.000339337,0.0005745058,0.00003972273,0.0001244406,0.00003270294],"genre_scores_gemma":[0.8086228,0.0002468587,0.1896497,0.00005372245,0.0003905527,0.000838351,0.00004689444,0.00004020858,0.0001108101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6526763,"threshold_uncertainty_score":0.7723688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1938281091","doi":"10.1109/pes.2004.1373081","title":"Synchronous generator model identification using Volterra series","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Control Systems and Identification","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Volterra series; Generator (circuit theory); Control theory (sociology); Convolution (computer science); Generalization; Nonlinear system; Computer science; Permanent magnet synchronous generator; Voltage; Series (stratigraphy); Volterra integral equation; Applied mathematics; Power (physics); Mathematics; Integral equation; Engineering; Mathematical analysis; Artificial intelligence; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.007923703237206385,"gpt":0.2042010222895251,"spread":0.1962773190523187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003501915,0.0003857263,0.0003182816,0.00008546322,0.0001762069,0.0002143192,0.0002424696,0.0002166747,0.00001029672],"category_scores_gemma":[0.000023295,0.000449531,0.0002765327,0.000279007,0.00003060073,0.0004813824,0.00002217661,0.0002367644,0.00004032753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006484623,"about_ca_system_score_gemma":0.00006684307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001008043,"about_ca_topic_score_gemma":0.00001295398,"domain_scores_codex":[0.9981027,0.00001421542,0.0006065119,0.0004061891,0.0003192984,0.0005511257],"domain_scores_gemma":[0.9991449,0.000009199728,0.000105,0.0004658349,0.0001255348,0.0001495251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000104746,0.00001082048,0.000008688491,0.00005498205,0.00005298936,9.658747e-7,0.0004892896,0.5597434,0.4384497,0.0001454979,0.0009942654,0.00004838542],"study_design_scores_gemma":[0.0003999043,0.00001287627,0.00009480058,0.00008340779,0.00004198942,0.00002184853,0.0000478243,0.920134,0.07756991,0.0000437348,0.001057786,0.0004919162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5358112,0.001472166,0.4596119,0.00003716258,0.0020268,0.0002372212,0.00002073283,0.0006965701,0.00008623954],"genre_scores_gemma":[0.9773944,0.00007605649,0.02116969,0.00003615543,0.0007180099,0.00006749993,0.00002214074,0.0001447072,0.0003713339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4415832,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1534852015","doi":"10.1109/pes.2004.1373066","title":"Allocation of transmission capacity in the central America electricity market","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Electric Power System Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Electricity market; Electricity; Transmission (telecommunications); Common value auction; Electric power transmission; Business; Point (geometry); Industrial organization; Environmental economics; Computer science; Economics; Telecommunications; Microeconomics; Engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006406651754228939,"gpt":0.1832829415247242,"spread":0.1768762897704953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004284263,0.0002855111,0.0002881364,0.00009304629,0.00005089177,0.00002929204,0.0003078183,0.0001756292,0.00001413721],"category_scores_gemma":[0.00004156498,0.0002617813,0.0001935399,0.0009735088,0.00002826953,0.0001479473,0.000006438899,0.000356009,0.000002617233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414599,"about_ca_system_score_gemma":0.00004889149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002289717,"about_ca_topic_score_gemma":0.000006969387,"domain_scores_codex":[0.9982296,0.00006127412,0.000487716,0.0002439699,0.0003821911,0.0005951987],"domain_scores_gemma":[0.9994346,0.00006531066,0.00008442884,0.0002766184,0.00005738674,0.00008166255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004154129,0.00004785423,0.0001204476,0.00009869729,0.00003854116,0.000001410826,0.002486523,0.9108795,0.08355372,0.00005088787,0.002452699,0.0002655697],"study_design_scores_gemma":[0.001119235,0.0001134512,0.005015191,0.0002542631,0.00004502994,0.00002579051,0.00009440657,0.8852258,0.1035367,0.00004612485,0.003860792,0.0006632945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3772364,0.001176759,0.6190367,0.0001257747,0.0005392631,0.0004196624,0.000006904693,0.0003214164,0.001137065],"genre_scores_gemma":[0.9769751,0.0002392522,0.02247833,0.00007080505,0.0001059673,0.0000356337,0.000009027785,0.00005712545,0.00002874554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5997387,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1927800034","doi":"10.1109/pes.2004.1372739","title":"Power system infrastructure security and defense","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Blackout; Terrorism; Reliability (semiconductor); Electric power system; Power (physics); National security; Telecommunications; Computer security; Engineering; Forensic engineering; Computer science; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.002167733052812299,"gpt":0.1724282111554751,"spread":0.1702604781026628,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002510897,0.0004391721,0.0003458934,0.00006281703,0.0001501669,0.00009498678,0.0002336594,0.0003375373,0.00001634858],"category_scores_gemma":[0.00002866218,0.0004456372,0.00021415,0.0002943109,0.00007865607,0.0001855993,0.00004868516,0.0005618678,0.00002200993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912173,"about_ca_system_score_gemma":0.00003483859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002775821,"about_ca_topic_score_gemma":0.000003776594,"domain_scores_codex":[0.9982447,0.00001666086,0.0003452502,0.0003965732,0.0003201983,0.000676633],"domain_scores_gemma":[0.9992661,0.00003574802,0.00004626843,0.0003314875,0.0000573874,0.000263028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003887225,0.00001616964,0.0002865824,0.0003445989,0.0001144152,0.0000267433,0.005553155,0.9625079,0.02442428,0.0009726195,0.005727658,0.00002200335],"study_design_scores_gemma":[0.008045953,0.0005384109,0.011011,0.003043108,0.0003228712,0.001876092,0.005690417,0.6896151,0.1737761,0.0009670348,0.09690266,0.008211224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982023,0.003607887,0.008610646,0.00004718377,0.002931637,0.0002117405,0.00002631774,0.001247704,0.001293856],"genre_scores_gemma":[0.9927289,0.0001514383,0.006487431,0.00009390264,0.0003959749,0.00001895077,0.000004832998,0.00009108856,0.00002746623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728928,"threshold_uncertainty_score":0.9997995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1822002551","doi":"10.1109/pes.2004.1373278","title":"Tie line equivalent constrained assisting generator model (TEAG) considering forced outage rates of transmission systems-II","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Tie line; Transmission line; Electric power transmission; Electric power system; Generator (circuit theory); Computer science; Reliability engineering; Transmission (telecommunications); Transmission system; Line (geometry); Power (physics); Point (geometry); Power transmission; Simple (philosophy); Control theory (sociology); Engineering; Electrical engineering; Mathematics; Telecommunications; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.01591236276510303,"gpt":0.2314729943230392,"spread":0.2155606315579362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008837701,0.0006519368,0.000850992,0.0001010703,0.0001956206,0.00007153869,0.0003426625,0.0003789646,0.000009898813],"category_scores_gemma":[0.0001151111,0.0006641388,0.0006153751,0.0003094751,0.0001057245,0.0002220756,0.00005853365,0.0004809532,0.000004896246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323244,"about_ca_system_score_gemma":0.0001298528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006963773,"about_ca_topic_score_gemma":0.000003081585,"domain_scores_codex":[0.9967634,0.00003777851,0.001192323,0.0005573003,0.0004817557,0.0009674562],"domain_scores_gemma":[0.9986686,0.00009449075,0.000202405,0.0005116501,0.0002055528,0.0003172941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005774531,0.00003303894,0.00001519248,0.0007297255,0.0001496522,0.000006038404,0.001039621,0.6709915,0.3260425,0.000215442,0.0007204561,0.00005106725],"study_design_scores_gemma":[0.001173806,0.00008679841,0.000007249511,0.001110081,0.00006392603,0.00002948486,0.0001376491,0.822292,0.1726674,0.00002778557,0.001748924,0.0006549269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4116419,0.003486618,0.5814728,0.0000908866,0.001692146,0.000476393,0.00006975639,0.0007729945,0.0002965639],"genre_scores_gemma":[0.9500965,0.0001327068,0.04894264,0.00006896316,0.0002719504,0.00007223563,0.00001611653,0.0001595455,0.0002393482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5384547,"threshold_uncertainty_score":0.999581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142042965","doi":"10.1109/pes.2004.1373059","title":"How FACTS controllers function in an AC transmission system","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg; Electrovaya (Canada)","funders":"","keywords":"Control theory (sociology); Transmission system; Flexible AC transmission system; Control engineering; Controller (irrigation); Nonlinear system; Computer science; Transmission (telecommunications); Function (biology); Static VAR compensator; Electric power system; AC power; Engineering; Control (management); Voltage; Physics; Electrical engineering; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.006506169177715179,"gpt":0.1888643025511547,"spread":0.1823581333734395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000450816,0.0003924036,0.0004151047,0.00009838562,0.00008188434,0.0001465344,0.0001903551,0.0002907878,0.00001068199],"category_scores_gemma":[0.00001761998,0.0004065537,0.0002409291,0.0003649851,0.00002042763,0.000414417,0.000008430859,0.000324007,0.000008576308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000694757,"about_ca_system_score_gemma":0.00004087867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003165504,"about_ca_topic_score_gemma":0.00001437504,"domain_scores_codex":[0.9982252,0.00004565673,0.0004313274,0.0003955034,0.0003188677,0.0005834964],"domain_scores_gemma":[0.9993014,0.00002405635,0.00005542635,0.00033202,0.00007193723,0.0002151632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001114118,0.00003132865,0.0001478104,0.0002015083,0.00004397512,0.000004277048,0.001166012,0.9626877,0.03514799,0.0001216523,0.0002980401,0.0001385974],"study_design_scores_gemma":[0.003020961,0.000116123,0.001257861,0.0003542512,0.00003432558,0.00001258165,0.0006183785,0.9778029,0.01048113,0.000009246276,0.005445478,0.0008467525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3661326,0.0008826811,0.6286744,0.00009317251,0.002051001,0.0004090109,0.00001223989,0.001311635,0.0004332271],"genre_scores_gemma":[0.9913114,0.00002623093,0.008233107,0.00004205749,0.0001199921,0.00005242986,0.0000174159,0.00009512319,0.0001021836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6251788,"threshold_uncertainty_score":0.9998387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157152961","doi":"10.1109/pes.2004.1372854","title":"Agent based software integration at distribution control center","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Computer science; System integration; Software; Software development; Software system; Automation; Software engineering; Software construction; Engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.004525113739514547,"gpt":0.1909632678225469,"spread":0.1864381540830324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002912531,0.0004912203,0.0003239572,0.00004548807,0.0001505103,0.00008792101,0.0002167693,0.0002910616,0.00005471089],"category_scores_gemma":[0.00008443277,0.0005385561,0.0004215034,0.000296667,0.00004204175,0.0002220583,0.00002462726,0.0003804669,0.0001269542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055479,"about_ca_system_score_gemma":0.00003927603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002370861,"about_ca_topic_score_gemma":0.000007608527,"domain_scores_codex":[0.9979368,0.00002245399,0.0004688171,0.0004094541,0.0004095324,0.0007529398],"domain_scores_gemma":[0.999173,0.00003836666,0.00007453509,0.0003613637,0.0001291868,0.0002235591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001185436,0.00005711103,0.0002687782,0.00005851307,0.00007989781,0.000005713379,0.0001442841,0.925262,0.05767868,0.00005670888,0.01622651,0.0001499146],"study_design_scores_gemma":[0.005360421,0.0001990464,0.002639631,0.0004098328,0.0001228573,0.00003042359,0.00003734657,0.7730594,0.1829539,0.00003278263,0.03349255,0.001661856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2808342,0.0003912369,0.7145385,0.0001253542,0.001963308,0.0003006276,0.0005084883,0.001264941,0.00007335139],"genre_scores_gemma":[0.9839091,0.00002368434,0.01434677,0.0001788968,0.0003249537,0.00007934601,0.0009591342,0.00011431,0.00006376032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7030749,"threshold_uncertainty_score":0.9997066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1824169754","doi":"10.1109/pes.2004.1373269","title":"Stochastic estimation of the contribution levels of customer operated distributed generation","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Distributed generation; Computer science; Stochastic process; Random variable; State (computer science); Expression (computer science); Stochastic modelling; Mathematics; Engineering; Statistics; Algorithm; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008027866107267943,"gpt":0.2145078402574038,"spread":0.2064799741501359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003461897,0.0003103486,0.0003380563,0.00005003693,0.00008738882,0.00002943597,0.0002297181,0.0002281708,0.00001647146],"category_scores_gemma":[0.0001716571,0.000288708,0.0002633008,0.0006294586,0.00007428882,0.0002075358,0.00002963453,0.0002643632,0.000009495366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808143,"about_ca_system_score_gemma":0.000075214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003532935,"about_ca_topic_score_gemma":0.000003481568,"domain_scores_codex":[0.9983305,0.00002858763,0.0006196955,0.0002318585,0.0003897769,0.0003996331],"domain_scores_gemma":[0.9991037,0.00003041116,0.0001546104,0.0003298011,0.0003007564,0.00008077049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002488978,0.00002461963,0.00001402679,0.00003431051,0.00006297108,1.963982e-7,0.0001449823,0.6574404,0.3413546,0.0002941738,0.0005910266,0.00003627943],"study_design_scores_gemma":[0.0006766026,0.00003312746,0.0009928668,0.0001190401,0.00005135564,0.000004693559,0.00001233104,0.6453993,0.3523978,0.00001482945,0.00006262417,0.0002354511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5282417,0.0002258437,0.4698413,0.00003528904,0.0009340007,0.0002517376,0.0002850541,0.0001686404,0.00001647293],"genre_scores_gemma":[0.9942026,0.000007948011,0.005374202,0.00001578779,0.0001269423,0.00002696532,0.0001815681,0.00005325778,0.00001077615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4659609,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109665095","doi":"10.1109/pes.2004.1372938","title":"An investigation on the reactive power support service needs of power producers","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"AC power; Generator (circuit theory); Computer science; Power (physics); Electric power system; Compensation (psychology); Service (business); Profit (economics); Electrical engineering; Reliability engineering; Engineering; Business; Voltage; Economics; Marketing; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.01088402524299762,"gpt":0.2103477960590525,"spread":0.1994637708160548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008701895,0.0005290147,0.0004561541,0.0001338838,0.000177126,0.00008578574,0.0005517433,0.0003442254,0.0001099712],"category_scores_gemma":[0.00007421576,0.0004144459,0.0003372658,0.0009253566,0.00009434929,0.0003445809,0.00004496244,0.0004140874,0.00004148776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003459907,"about_ca_system_score_gemma":0.0002281271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800487,"about_ca_topic_score_gemma":0.000104632,"domain_scores_codex":[0.9974155,0.00009959005,0.0006369008,0.0005011427,0.0006273951,0.0007194259],"domain_scores_gemma":[0.9981117,0.00007700653,0.0003234346,0.0009346263,0.0002918608,0.0002614021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001753017,0.00009909059,0.00007450704,0.00003601519,0.0001976391,0.000003532258,0.01176651,0.6582463,0.3188662,0.006563541,0.004107349,0.00002179477],"study_design_scores_gemma":[0.001858875,0.0009368618,0.001156738,0.0005694632,0.0001062556,0.00004970539,0.005972097,0.00411281,0.9364202,0.0004053223,0.04675784,0.001653842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883338,0.000175751,0.001033974,0.001096841,0.002691509,0.000318268,0.00001663622,0.0003403071,0.005992894],"genre_scores_gemma":[0.9953471,0.00001170091,0.001643465,0.001492183,0.0004113685,0.00006233671,0.00002925208,0.0001470757,0.0008555079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6541335,"threshold_uncertainty_score":0.9998307,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2296220891","doi":"10.1109/pes.2004.1372748","title":"Hurricane Juan","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nova scotia; Backup; Power (physics); Hurricane katrina; Natural disaster; Aeronautics; Meteorology; Engineering; Geography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.003428546177070442,"gpt":0.1958513556695362,"spread":0.1924228094924657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028248,0.0003915453,0.0003594486,0.00007965299,0.0001269177,0.00007269582,0.0003107057,0.0002158101,0.00008859818],"category_scores_gemma":[0.00003930891,0.0004038615,0.0004345915,0.0005685846,0.00006134361,0.0001857244,0.00002389518,0.0004637584,0.00006900594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354117,"about_ca_system_score_gemma":0.00004032254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008198585,"about_ca_topic_score_gemma":0.000009044858,"domain_scores_codex":[0.9981664,0.00001362652,0.0003840357,0.000361268,0.0003534813,0.0007211526],"domain_scores_gemma":[0.9992406,0.00003020672,0.00004188747,0.0004213491,0.00006393134,0.0002020681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001034668,0.00001553779,0.0001139939,0.00005203734,0.0001168562,0.000004875575,0.0004988278,0.9317385,0.06353272,0.0001890058,0.003530991,0.000205614],"study_design_scores_gemma":[0.002348439,0.000201492,0.002905371,0.00035045,0.0002985945,0.0001023979,0.0004647381,0.5924708,0.3465403,0.0008889951,0.04989059,0.00353786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8322502,0.001268868,0.1609039,0.0001570363,0.001695253,0.0001878539,0.00001603804,0.001397693,0.002123138],"genre_scores_gemma":[0.9751894,0.00009885586,0.02374337,0.0001672686,0.0005258176,0.00002499808,0.00001011655,0.0000893719,0.0001507541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3392677,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3143819401","doi":"10.1109/pes.2004.1373138","title":"Large power system stability enhancement using wide-area signals based hierarchical controller","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Governor; Controller (irrigation); Electric power system; Stability (learning theory); Control engineering; Computer science; Power (physics); Multivariable calculus; Engineering; Control (management); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.0112858656927106,"gpt":0.2140644440174517,"spread":0.2027785783247411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001460147,0.0007015779,0.0008137792,0.000101679,0.0002255899,0.0001418706,0.0003611757,0.000374313,0.0002278187],"category_scores_gemma":[0.0001247277,0.0007251063,0.0006212451,0.0004839483,0.0000658599,0.0002232686,0.00004817657,0.0005331721,0.00003186887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571071,"about_ca_system_score_gemma":0.0001491596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003129954,"about_ca_topic_score_gemma":0.000005154442,"domain_scores_codex":[0.9961959,0.0001137751,0.00105602,0.0007107623,0.0007161512,0.001207449],"domain_scores_gemma":[0.9984053,0.0001568504,0.0001362968,0.0006515028,0.0002278143,0.0004222506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001825147,0.0001259956,0.0003075372,0.0003057399,0.000170514,0.000006668266,0.001070458,0.9391204,0.05796766,0.0001465865,0.0007567705,0.000003462875],"study_design_scores_gemma":[0.002690768,0.0000740451,0.000152456,0.0003557089,0.00005445711,0.000008708274,0.0002627786,0.9510702,0.04186116,0.000009470004,0.00254256,0.000917714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3292597,0.0006127609,0.6661808,0.00005004221,0.001599694,0.0005757672,0.00007480562,0.001007391,0.0006389459],"genre_scores_gemma":[0.9732049,0.000007950184,0.02618992,0.0002098912,0.00008702729,0.00009384636,0.0000204616,0.0001475482,0.00003846746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6439452,"threshold_uncertainty_score":0.99952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1739183808","doi":"10.1109/pes.2004.1372770","title":"Reliability evaluation of the IEEE-RTS incorporating station related outages","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Transmission system; Computer science; Engineering; Transmission (telecommunications); Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.00870969827875118,"gpt":0.2204303189911013,"spread":0.2117206207123501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002646688,0.0003280449,0.0003355256,0.0000349215,0.0001144257,0.00003470216,0.0003084471,0.0002515544,0.00001038506],"category_scores_gemma":[0.0004069513,0.0002849514,0.0003338621,0.0005065609,0.00008961654,0.000239686,0.00003006663,0.0004139838,0.000009820423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007537769,"about_ca_system_score_gemma":0.0001343763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001246413,"about_ca_topic_score_gemma":0.00001760947,"domain_scores_codex":[0.997557,0.0001082018,0.000771696,0.0003646369,0.0007660376,0.0004324329],"domain_scores_gemma":[0.9986214,0.0000745742,0.0002167374,0.0006135637,0.0003833538,0.00009037695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001838698,0.00002654735,0.0002778784,0.0001829612,0.00005769773,3.65151e-7,0.001650717,0.9191573,0.07754871,0.0001514792,0.0008345548,0.0001099448],"study_design_scores_gemma":[0.001664945,0.00006719414,0.006683772,0.000860257,0.000158499,0.00001514827,0.0002916493,0.8216003,0.1655901,0.001547479,0.0007380074,0.0007825901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701648,0.0007247384,0.02297484,0.0001021818,0.004292148,0.0006249356,0.00002644575,0.0004608993,0.000628977],"genre_scores_gemma":[0.9936789,0.00002234376,0.005947581,0.00003292801,0.0001177976,0.00006225752,0.000007979967,0.00006786029,0.00006233229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09755696,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1592433749","doi":"10.1109/pes.2004.1372871","title":"Overview of recommendations by U.S. - Canada task force to prevent or minimize scope of future blackouts","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Blackout; Task force; Interim; Scope (computer science); Task (project management); Operations research; Computer science; Aeronautics; Political science; Engineering; Public administration; Law; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02415979185700622,"gpt":0.3440077830231037,"spread":0.3198479911660975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000593011,0.0002240708,0.0003966386,0.00004320624,0.0002600855,0.000007946259,0.0001932576,0.0002130197,0.0001701354],"category_scores_gemma":[0.00017399,0.0002052563,0.0001181303,0.0004765507,0.00001508028,0.00008533014,0.00004042505,0.0003446018,0.000005033155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375633,"about_ca_system_score_gemma":0.00172581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04755562,"about_ca_topic_score_gemma":0.02156384,"domain_scores_codex":[0.997936,0.0001122438,0.0008911524,0.0002834488,0.0003083468,0.0004687875],"domain_scores_gemma":[0.9987035,0.0001151395,0.0002656536,0.0003232816,0.0003626814,0.0002297383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002328008,0.000145966,0.000150493,0.0008846866,0.0001143479,0.000001019302,0.006169749,0.7078615,0.02375625,0.0003277811,0.2602915,0.0002734792],"study_design_scores_gemma":[0.009448042,0.001330381,0.001944788,0.01475399,0.0003849692,0.00001423983,0.01065673,0.04958287,0.1343869,0.00006327903,0.7736392,0.003794631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8285426,0.008505519,0.1174137,0.03077015,0.008556053,0.003846595,0.001385977,0.0002700441,0.0007094052],"genre_scores_gemma":[0.4374774,0.004147022,0.5413368,0.00617779,0.001306081,0.0004693623,0.0004501263,0.000236634,0.008398845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6582786,"threshold_uncertainty_score":0.9962901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2112894805","doi":"10.1109/pes.2004.1373040","title":"An innovative industry-university partnership to enhance university training and industry recruiting in power engineering","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Université de Sherbrooke; McGill University","funders":"","keywords":"Internship; General partnership; Engineering management; Incentive; Engineering education; Training (meteorology); Power (physics); Engineering; Business; Finance; Economics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.01207800117547899,"gpt":0.2421329799123873,"spread":0.2300549787369083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005707393,0.0006141211,0.0004906846,0.0003626568,0.0001396875,0.00008387928,0.0004309833,0.0008952644,0.00002025413],"category_scores_gemma":[0.0001156701,0.0008743968,0.0001142646,0.001656653,0.00005668759,0.000600282,0.00009543269,0.002534057,0.000008940445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210977,"about_ca_system_score_gemma":0.00008334508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009920498,"about_ca_topic_score_gemma":0.00001217304,"domain_scores_codex":[0.9974651,0.0000418228,0.0003936384,0.0006895015,0.000320538,0.001089393],"domain_scores_gemma":[0.9989097,0.00008465814,0.0000727001,0.000374574,0.00008555014,0.0004728652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007183306,0.00002767901,0.0007882763,0.00004941186,0.00006658294,0.00005941238,0.01224656,0.8466647,0.139584,0.0002605948,0.000102298,0.000143326],"study_design_scores_gemma":[0.00576598,0.0009686436,0.02348829,0.00451045,0.0001154413,0.0002047915,0.03288743,0.5034571,0.3630843,0.00002471231,0.05637426,0.009118618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807184,0.0002045259,0.01617573,0.00007066854,0.0005626762,0.0003016295,0.0000144307,0.001121601,0.0008303665],"genre_scores_gemma":[0.9578291,0.00001598429,0.04157628,0.00007328419,0.0001834957,0.000006877805,0.000008296372,0.0001604018,0.0001462416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3432076,"threshold_uncertainty_score":0.9997671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140006436","doi":"10.1109/pes.2004.1372864","title":"An efficient multi-rate simulation technique for power-electronic-based systems","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Variable (mathematics); Power (physics); Range (aeronautics); State variable; Electric power system; Electronic systems; Coupling (piping); Electronic engineering; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.007225896992134359,"gpt":0.2374042242199119,"spread":0.2301783272277775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000872189,0.0004899847,0.0004344837,0.0001149384,0.0001467079,0.0001773259,0.0002594111,0.0003378611,0.000007391415],"category_scores_gemma":[0.00004412604,0.0005278264,0.0003673711,0.0003058938,0.00002167722,0.0001620542,0.000007687198,0.000289257,0.00001644604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903617,"about_ca_system_score_gemma":0.00008422624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005936916,"about_ca_topic_score_gemma":0.000003115926,"domain_scores_codex":[0.9976996,0.00004759007,0.0006147831,0.0004646182,0.0002965737,0.0008768352],"domain_scores_gemma":[0.9989168,0.0001054425,0.0001167902,0.0004666845,0.0001804128,0.0002138577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008892279,0.00004951025,0.000008087407,0.0001029901,0.00006329517,9.002447e-7,0.0002564542,0.7642484,0.2350299,0.0001257645,0.00009211685,0.00001369688],"study_design_scores_gemma":[0.001917178,0.0001268207,0.00006023347,0.0001352771,0.00002802712,0.000002840435,0.00004516189,0.9656425,0.0290984,0.000004783827,0.002354812,0.0005839684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1315043,0.00071053,0.8636792,0.00001821511,0.001244638,0.001409795,0.00002770218,0.001332005,0.00007361687],"genre_scores_gemma":[0.9847523,0.000004591941,0.01412429,0.00005947393,0.0003028902,0.0004619874,0.00003874787,0.0001944635,0.00006124613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.853248,"threshold_uncertainty_score":0.9997174,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145803703","doi":"10.1109/pes.2004.1372820","title":"Harmonic domain dynamic transfer function of a nonlinear time-periodic network","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Time domain; Transfer function; Describing function; Control theory (sociology); Frequency domain; Transient (computer programming); Linearization; Steady state (chemistry); Harmonic balance; Harmonic; Computer science; Harmonic analysis; Mathematics; Topology (electrical circuits); Mathematical analysis; Physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005963070012140886,"gpt":0.1981600753350911,"spread":0.1921970053229502,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000562047,0.0004650887,0.0004996678,0.00006598747,0.0001120832,0.00004827631,0.0002823322,0.0003334691,0.00008046846],"category_scores_gemma":[0.00001231398,0.0005299,0.0005158288,0.0004814705,0.00007241668,0.0001733507,0.00002093663,0.0005385625,0.00008193584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325398,"about_ca_system_score_gemma":0.00007550378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002047044,"about_ca_topic_score_gemma":0.000006890235,"domain_scores_codex":[0.9977815,0.00002900747,0.0006290128,0.0003657127,0.0003730569,0.0008217269],"domain_scores_gemma":[0.9992624,0.0000405045,0.00005027924,0.0003956725,0.00006583726,0.0001853331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001288765,0.00004573442,0.00001088267,0.0001513402,0.0002368143,0.000003842696,0.001208556,0.8373592,0.1589525,0.0002017933,0.001694098,0.0001222932],"study_design_scores_gemma":[0.005702582,0.0005781077,0.001093681,0.001104625,0.0004110961,0.00005756594,0.0002473283,0.8517886,0.07736132,0.0009817173,0.05742954,0.003243863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7249152,0.003761894,0.2681173,0.00006997141,0.001685017,0.0002531176,0.00004898033,0.000830935,0.0003176127],"genre_scores_gemma":[0.9625353,0.0003253552,0.03600683,0.0001862058,0.0004653986,0.00003905168,0.00004942058,0.000199939,0.0001925561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.23762,"threshold_uncertainty_score":0.9997153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164025164","doi":"10.1109/pes.2004.1372973","title":"A new hybrid current sensor for high-voltage applications","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Pockels effect; Rogowski coil; Integrator; Current sensor; Linearity; Voltage; Electrical engineering; Electronic engineering; Electromagnetic coil; Current (fluid); Metering mode; Materials science; Engineering; Optics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.006175114231631134,"gpt":0.2200980168882003,"spread":0.2139229026565692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001695279,0.0003964735,0.0003091928,0.00006866703,0.00008499206,0.0000635856,0.0002889865,0.0001583486,0.00004270058],"category_scores_gemma":[0.00002991274,0.0004578754,0.0002913875,0.0002078941,0.00002275992,0.00008527521,0.00002543448,0.0003527442,0.00002846397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215996,"about_ca_system_score_gemma":0.00005094742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008311958,"about_ca_topic_score_gemma":0.000003687966,"domain_scores_codex":[0.9983511,0.000005718955,0.0003986403,0.0003827089,0.0002327962,0.0006290382],"domain_scores_gemma":[0.9991447,0.00006133527,0.00005269176,0.00044944,0.00007300696,0.0002188033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004599056,0.00005430496,0.00001221738,0.0004093669,0.0001211216,0.000003176372,0.0006212109,0.6409761,0.2292187,0.002902643,0.1203778,0.005298767],"study_design_scores_gemma":[0.001809861,0.0001599767,0.00009675181,0.0002496373,0.0001145843,0.00003252003,0.00003594698,0.05049843,0.5925333,0.001842772,0.3509087,0.001717477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04203543,0.001884915,0.951247,0.0001300216,0.001239816,0.0008737625,0.00005002899,0.002232055,0.000306984],"genre_scores_gemma":[0.3826043,0.0003378759,0.6132922,0.0001584974,0.001810854,0.0006389087,0.00004839076,0.0002679794,0.0008409638],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5904777,"threshold_uncertainty_score":0.9997873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106040177","doi":"10.1109/pes.2004.1373187","title":"Development of a DC current-blocking device for transformer neutrals","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec","funders":"","keywords":"Electrical engineering; Blocking (statistics); Transformer; Capacitor; Ground; Current transformer; Electric power system; Voltage; Engineering; Computer science; Power (physics); Computer network; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01526098174210822,"gpt":0.2451462812934259,"spread":0.2298852995513176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004113319,0.0003268177,0.0003433512,0.00006801589,0.0001055421,0.00003184817,0.0001612547,0.0001746586,0.000006616422],"category_scores_gemma":[0.00001438579,0.0003489676,0.0003039583,0.0002553687,0.00001518692,0.0001380152,0.000006540949,0.0002279718,0.000006749052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002528187,"about_ca_system_score_gemma":0.00006404666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001993892,"about_ca_topic_score_gemma":0.00001018034,"domain_scores_codex":[0.9983473,0.000006681577,0.0006111031,0.0002621305,0.0002318713,0.0005408606],"domain_scores_gemma":[0.9995288,0.00002294215,0.0000749644,0.0001721487,0.00008857163,0.0001125966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003219311,0.00002475444,0.00001197669,0.0007235658,0.0001094439,2.735918e-7,0.003245659,0.5665832,0.4268735,0.00004899553,0.0002741549,0.00210124],"study_design_scores_gemma":[0.001527375,0.00005123604,0.0001276953,0.0008003196,0.00004926571,0.00001029785,0.0001751626,0.04369923,0.8353692,0.00001909938,0.1173508,0.000820327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6139614,0.002638461,0.3801972,0.00001712987,0.001983873,0.0005659436,0.00001499915,0.0004592628,0.0001617286],"genre_scores_gemma":[0.8817671,0.00006644757,0.1173743,0.00001717777,0.0003867153,0.0002274435,0.0000104792,0.0001158171,0.00003453769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.522884,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1866356858","doi":"10.1109/pes.2004.1372836","title":"Evaluation of live-line maintenance techniques used on BPA reduced clearance 500 kV lines","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Arc flash; Insulator (electricity); Conductor; Electric power transmission; High voltage; Transmission line; Engineering; Electrical engineering; Dielectric; Tower; Voltage; Reliability engineering; Materials science; Computer science; Structural engineering; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.02060932711467591,"gpt":0.269916161805235,"spread":0.2493068346905591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001916196,0.0002763052,0.0003158682,0.00007408307,0.00009607152,0.00004145507,0.0002657326,0.0001556818,0.00009457886],"category_scores_gemma":[0.0003769248,0.0002655394,0.0001770534,0.0003580013,0.00006235568,0.0001504626,0.00002377403,0.000193471,0.00005268235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751687,"about_ca_system_score_gemma":0.0001666426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008933765,"about_ca_topic_score_gemma":0.000003963799,"domain_scores_codex":[0.9976733,0.00007293816,0.0005073702,0.0004274602,0.0008715134,0.0004474583],"domain_scores_gemma":[0.9987568,0.00005495398,0.0002373688,0.000358128,0.0004914614,0.0001012884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001401377,0.0000714579,0.000008166043,0.00002073346,0.00001591905,7.692552e-7,0.0007851348,0.262798,0.7352731,0.0002233445,0.0005581473,0.0002312369],"study_design_scores_gemma":[0.0009100986,0.0001946223,0.000326852,0.0002443331,0.00004048841,0.000003729524,0.00003414612,0.03643301,0.9604356,0.0003091932,0.0007221994,0.0003456948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844363,0.000432147,0.012787,0.000212403,0.000810221,0.0003814961,0.0000154231,0.0003766034,0.0005484571],"genre_scores_gemma":[0.9745895,0.00004476998,0.0244911,0.0002192764,0.0003701718,0.00005805121,0.000006169567,0.00004860775,0.0001724113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2263649,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1642458343","doi":"10.1109/pes.2004.1373107","title":"Communications for a large distribution automation project in Thailand","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"SCADA; Telecommunications; Engineering; Process automation system; Automation; Communications system; Project commissioning; Work (physics); Systems engineering; Electrical engineering; Publishing","retraction":null,"screen_n_in":null,"score":{"opus":0.01380994250306584,"gpt":0.259585221663179,"spread":0.2457752791601132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004775161,0.0002268503,0.0002073337,0.00006880086,0.0001313997,0.00005293327,0.0004248819,0.0001499064,0.000002923941],"category_scores_gemma":[0.00006368358,0.0002553661,0.0001781726,0.0004104299,0.00002086794,0.0001825536,0.0000533348,0.0002744176,0.000007467359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003865889,"about_ca_system_score_gemma":0.00005455265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005905512,"about_ca_topic_score_gemma":0.0000667104,"domain_scores_codex":[0.9988527,0.00002016753,0.0003739666,0.0001855577,0.0001256399,0.0004419656],"domain_scores_gemma":[0.9990358,0.00007151359,0.00005077297,0.0007146614,0.00006795401,0.00005933972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000806053,0.0002823331,0.0005646634,0.0002212964,0.0001297704,0.000001073834,0.003497903,0.944211,0.02509434,0.005423775,0.0202466,0.0003191849],"study_design_scores_gemma":[0.001969612,0.00004723262,0.001720742,0.0002306541,0.00002946218,0.000006526431,0.0001278662,0.8965799,0.005250497,0.0001535568,0.09330142,0.0005825824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4149057,0.004478722,0.5750672,0.0005643601,0.0009637069,0.001271817,0.0004514096,0.001580105,0.0007169663],"genre_scores_gemma":[0.9437464,0.0003811518,0.05485372,0.00004410428,0.00009822271,0.0003617544,0.0003953387,0.00006486983,0.00005445668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5288407,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1894399504","doi":"10.1109/pes.2004.1372862","title":"Compensation of the voltage flicker using an efficient algorithm for series and parallel mitigating devices","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Flicker; Computer science; Voltage; Compensation (psychology); SIGNAL (programming language); Series (stratigraphy); Control theory (sociology); Algorithm; Voltage compensation; Electronic engineering; Artificial intelligence; Engineering; Electrical engineering; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.01860718663027883,"gpt":0.2377012326089516,"spread":0.2190940459786728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003777672,0.0002533654,0.0002595609,0.00002822622,0.0001598587,0.00005196745,0.0001752889,0.0001184554,0.000002491108],"category_scores_gemma":[0.00002088766,0.0002372873,0.0001758553,0.0001631279,0.00006355467,0.0001672596,0.00003113953,0.00018802,6.202526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192618,"about_ca_system_score_gemma":0.00005294721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002082457,"about_ca_topic_score_gemma":0.00003319538,"domain_scores_codex":[0.9987795,0.00001687513,0.0003775614,0.0002261693,0.0002129825,0.0003869629],"domain_scores_gemma":[0.9994723,0.0000436396,0.00009653792,0.0002238741,0.00007295536,0.00009065406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001620116,0.00001818484,0.00007690043,0.0001439784,0.00005962695,3.039839e-7,0.002482765,0.9264128,0.07028401,0.0002520994,0.00002906565,0.0002386863],"study_design_scores_gemma":[0.0005128235,0.00003472245,0.0005946632,0.0001657141,0.00004094785,0.00001064995,0.0004150129,0.9412122,0.056256,0.00006237547,0.0003837699,0.0003111623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6668246,0.000666091,0.3315418,0.00002301171,0.0005538661,0.0002146059,0.00003323258,0.0001300286,0.00001277861],"genre_scores_gemma":[0.7918935,0.000024652,0.2077852,0.00006403799,0.0001395989,0.00001754973,0.000007263371,0.00005910098,0.000009106365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250689,"threshold_uncertainty_score":0.9676296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1563793854","doi":"10.1109/pes.2004.1372867","title":"The blackout sequence of events","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Blackout; Event (particle physics); Computer science; Power (physics); Electric power system; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01026244435489988,"gpt":0.2275593874641218,"spread":0.2172969431092219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004955349,0.0001815451,0.0001766007,0.00002002119,0.0002324741,0.00002875579,0.0006816312,0.00009228955,0.000001696958],"category_scores_gemma":[0.00007617203,0.0001429453,0.0002026951,0.0002686562,0.00009912706,0.000134575,0.0001048025,0.0002013253,0.00002095622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000602426,"about_ca_system_score_gemma":0.00006518728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000600061,"about_ca_topic_score_gemma":0.000003257494,"domain_scores_codex":[0.9987518,0.00002529037,0.0002587244,0.0002742963,0.0002506855,0.000439231],"domain_scores_gemma":[0.9992405,0.00009275266,0.00009676139,0.000420992,0.0000865906,0.00006245643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008667002,0.0001114963,0.001855626,0.00006913515,0.0005079848,0.00001902984,0.01019332,0.891437,0.0511753,0.03223547,0.01023344,0.002153531],"study_design_scores_gemma":[0.008676657,0.001552302,0.0506634,0.001353111,0.0002003084,0.000442524,0.001124617,0.286603,0.4523756,0.02931087,0.1619488,0.005748935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6463663,0.003075304,0.3440191,0.002213116,0.003268157,0.0001983067,0.000005373486,0.0003468333,0.000507492],"genre_scores_gemma":[0.9514348,0.0001575447,0.04753241,0.0003416461,0.0001317034,0.00001386862,6.980569e-7,0.00001562444,0.0003716995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.604834,"threshold_uncertainty_score":0.5829141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1946797405","doi":"10.1109/pes.2004.1372740","title":"Considerations of relevant factors in setting distribution system reliability standards","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability (semiconductor); Metric (unit); Reliability engineering; Duration (music); Index (typography); Computer science; Operations research; Engineering; Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.0044532881495786,"gpt":0.2030181950512478,"spread":0.1985649069016692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001420068,0.0003480689,0.0004910819,0.0000526094,0.0000827696,0.00004111214,0.0001634628,0.0002451379,0.000006595026],"category_scores_gemma":[0.0004632387,0.0003560949,0.0002840856,0.0003375872,0.00006632158,0.0001860242,0.00002856499,0.000395,0.000003061578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858766,"about_ca_system_score_gemma":0.0001447454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002273312,"about_ca_topic_score_gemma":0.00002504885,"domain_scores_codex":[0.9976717,0.00004625236,0.0008580966,0.000366642,0.0004754349,0.000581912],"domain_scores_gemma":[0.9989634,0.0001446304,0.0001119409,0.0004283174,0.0002239817,0.0001277533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003201708,0.00003216558,0.0009275564,0.0007025368,0.00004228123,0.000004802877,0.001834046,0.9707633,0.02300494,0.001067209,0.001610763,0.000007149404],"study_design_scores_gemma":[0.005304446,0.0003213387,0.01516739,0.006858794,0.0001625666,0.0001088949,0.004242147,0.4659814,0.4875986,0.0007517363,0.01014825,0.003354407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866333,0.0006291689,0.108974,0.00007586821,0.001856726,0.0004097878,0.000415199,0.0006838439,0.0003220221],"genre_scores_gemma":[0.9933984,0.00002979002,0.006349465,0.00001119167,0.00007999448,0.00003616833,0.00002826157,0.00005462681,0.00001205975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.504782,"threshold_uncertainty_score":0.9998891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1658314833","doi":"10.1109/pes.2004.1373149","title":"PEM fuel cells for improved grid reliability and power transfer","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Ballard Power Systems (Canada)","funders":"","keywords":"Proton exchange membrane fuel cell; Grid; Reliability (semiconductor); Energy storage; Computer science; Battery (electricity); Fuel cells; Reliability engineering; Work (physics); Power (physics); Maximum power transfer theorem; Automotive engineering; Electrical engineering; Engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.003821746605650109,"gpt":0.1815011944769491,"spread":0.177679447871299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004113177,0.0004685965,0.0004307882,0.00004176463,0.00009194518,0.00009223859,0.0001770895,0.0004085939,0.00004572438],"category_scores_gemma":[0.00002040324,0.0004559953,0.000336438,0.0001421479,0.00005549526,0.0001416914,0.00002526136,0.0003127096,0.00001191198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700406,"about_ca_system_score_gemma":0.0000297968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003556237,"about_ca_topic_score_gemma":0.000002236955,"domain_scores_codex":[0.9981925,0.00001181655,0.00047132,0.0004579481,0.0001511136,0.0007153077],"domain_scores_gemma":[0.9993085,0.00005324315,0.00002983914,0.0003206545,0.00007585658,0.000211962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009277991,0.00002824299,0.000002932985,0.0006432445,0.00009113828,0.000001479969,0.0007906877,0.527701,0.4680313,0.00002741339,0.002655145,0.00001810803],"study_design_scores_gemma":[0.005041449,0.0003833653,0.0001391809,0.0002804153,0.0001995787,0.00003172458,0.00012628,0.1197728,0.7785118,0.0004729639,0.09272106,0.002319364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533281,0.00544731,0.02753384,0.0002157927,0.009608014,0.001057047,0.0001973969,0.001378634,0.001233906],"genre_scores_gemma":[0.9509535,0.001754263,0.04569615,0.0001855948,0.0006951023,0.0001143363,0.00002959273,0.0002734541,0.000297951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4079281,"threshold_uncertainty_score":0.9997892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119471982","doi":"10.1109/pes.2004.1373027","title":"Coordinated spot market for congestion management of inter-regional electricity markets","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Congestion management; Electricity market; Electricity; Spot market; Forward contract; Spot contract; Industrial organization; Power market; Point (geometry); Electric power system; Electricity system; Computer science; Business; Electricity generation; Power (physics); Engineering; Finance; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00604614523891169,"gpt":0.2034985892229327,"spread":0.197452443984021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000572087,0.0003751012,0.0003682303,0.0001250622,0.00006081085,0.00003411454,0.0002575474,0.000217335,0.00002214024],"category_scores_gemma":[0.00002839646,0.0004366038,0.0002857627,0.0005864381,0.00002634069,0.0001426636,0.00002131711,0.0002081048,0.000004188557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005450573,"about_ca_system_score_gemma":0.00003047234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001781636,"about_ca_topic_score_gemma":0.000001476552,"domain_scores_codex":[0.9982249,0.00002347892,0.0005456381,0.0003463684,0.0002643538,0.0005952547],"domain_scores_gemma":[0.9992618,0.00007113937,0.0001228693,0.0002754377,0.0001561658,0.0001125928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003623111,0.00006269373,0.00005487368,0.0006260533,0.0004817468,0.000004613549,0.0002272644,0.9470133,0.02376265,0.0003853698,0.0268337,0.0005114491],"study_design_scores_gemma":[0.003380113,0.0002036211,0.001091196,0.0009146035,0.0001849602,0.00004498656,0.00005692802,0.9099116,0.07496804,0.0001010858,0.008008096,0.001134806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1399298,0.001347703,0.8542894,0.0000831235,0.001488497,0.0008134924,0.00002632719,0.0007537273,0.001267939],"genre_scores_gemma":[0.9370272,0.0002017384,0.06169456,0.00004033879,0.0001392727,0.0001428328,0.00003693604,0.0001291529,0.0005879744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7970974,"threshold_uncertainty_score":0.9998085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1484067988","doi":"10.1109/pes.2004.1373177","title":"Operating-condition-dependent ARMA model for PSS application","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Autoregressive–moving-average model; Moving average; Control theory (sociology); Nonlinear system; Moving-average model; Computer science; Work (physics); Power (physics); Mathematics; Engineering; Autoregressive model; Autoregressive integrated moving average; Time series; Artificial intelligence; Econometrics; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.007187330438819845,"gpt":0.2236608815714233,"spread":0.2164735511326035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004021027,0.0003476976,0.0002912461,0.00004875444,0.0001496624,0.00008898155,0.0002307805,0.000204323,0.0000140982],"category_scores_gemma":[0.00003708719,0.0003913854,0.0002670689,0.0001871388,0.00002323206,0.0002014322,0.00001793185,0.0002096767,0.00002237301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004213346,"about_ca_system_score_gemma":0.00005384636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001638796,"about_ca_topic_score_gemma":0.000006653904,"domain_scores_codex":[0.9983249,0.00001122776,0.0004937268,0.0003982107,0.0002623635,0.0005095525],"domain_scores_gemma":[0.9992259,0.00003307194,0.00006300276,0.0003751506,0.0001342311,0.0001686332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001364951,0.00003233771,0.00003684364,0.0001178232,0.00005699298,3.262422e-7,0.0009926384,0.9607951,0.035256,0.0004801661,0.002201326,0.00002908445],"study_design_scores_gemma":[0.0008167135,0.00001954696,0.00004297637,0.00004110618,0.00002027469,0.00000554739,0.00004547471,0.9809195,0.01656158,0.00008774311,0.001001733,0.0004377388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07184459,0.0003249151,0.9246576,0.00008414757,0.0009743142,0.0006219517,0.00008601826,0.0009827436,0.0004237502],"genre_scores_gemma":[0.913821,0.00002394321,0.08501847,0.0001413424,0.0001703305,0.0004079082,0.00006303398,0.0001107174,0.0002432583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8419764,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137117184","doi":"10.1109/pes.2004.1372884","title":"Unified approach for mitigating voltage sag and voltage flicker using the DSTATCOM","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Flicker; Voltage sag; Kalman filter; Control theory (sociology); Voltage; Computer science; Compensation (psychology); Electronic engineering; Engineering; Electrical engineering; Power quality; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02081205608805993,"gpt":0.2385678461819972,"spread":0.2177557900939373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007883572,0.0004699788,0.0003815259,0.00004633842,0.0003291002,0.0001672587,0.0003072526,0.0002572638,0.000005897795],"category_scores_gemma":[0.00006674811,0.0004380447,0.0003127825,0.0002585007,0.00009975828,0.0002038343,0.00005360641,0.000524221,0.000002771295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463494,"about_ca_system_score_gemma":0.00005021886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008389452,"about_ca_topic_score_gemma":0.000002993059,"domain_scores_codex":[0.9979588,0.00001864362,0.0004798251,0.0004175861,0.0002857299,0.0008394109],"domain_scores_gemma":[0.9991533,0.0001202255,0.00008347101,0.0003885913,0.00006990444,0.0001845336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003677527,0.00002357727,0.00003502783,0.0002581524,0.000164389,0.00000193027,0.003787169,0.8387912,0.1544628,0.001024312,0.001349546,0.0000981953],"study_design_scores_gemma":[0.001385468,0.00004444724,0.0001070107,0.0001519532,0.0001099225,0.00003233476,0.0008453854,0.9440128,0.04108763,0.0002686097,0.01098244,0.0009720663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3540332,0.002104972,0.6418314,0.00005764042,0.0007375688,0.0004251126,0.00004998893,0.0005256701,0.0002344361],"genre_scores_gemma":[0.8450828,0.0001249939,0.153411,0.000330795,0.0005581173,0.00007824103,0.00003058207,0.0002045656,0.0001788502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4910496,"threshold_uncertainty_score":0.9998071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}