{"meta":{"query_hash":"073d0e62a9c2","filters":{"topic":"Smart Grid Security and Resilience"},"cohort_total":1085,"direct_labels_cover":1,"predictions_cover":1085,"exported":1085,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/073d0e62a9c2","api":"https://metacan.xera.ac/api/v1/cohort?topic=Smart+Grid+Security+and+Resilience"},"results":[{"id":"W116795475","doi":"","title":"Investigation of Wireless LAN for IEC 61850 based Smart Distribution Substations","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"IEC 61850; Wireless lan; Computer science; Computer network; Wireless; Telecommunications; Engineering; Automation","score_opus":0.07510286842913409,"score_gpt":0.2752158740670023,"score_spread":0.2001130056378682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W116795475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97344136,0.00006594776,0.025349764,0.00005012212,0.00041394797,0.0002724251,0.0002036194,0.00017236201,0.000030465999],"genre_scores_gemma":[0.99929416,0.000014764218,0.000089748326,0.000033512817,0.000086934815,0.0000034714012,0.00033402946,0.000023483539,0.000119876604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999005,0.000076953685,0.0001982226,0.00017273748,0.00019473847,0.0003523264],"domain_scores_gemma":[0.99921924,0.0001384224,0.000081437436,0.00024195247,0.00011899579,0.000199932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025053523,0.00017189664,0.00018856992,0.00018645867,0.00014626193,0.000041601757,0.00026079136,0.00015336601,0.000006531591],"category_scores_gemma":[0.000026968979,0.00020159513,0.000094366165,0.00039186602,0.00010616185,0.0011264482,0.000033358727,0.00020340076,0.000022360498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027519995,0.000027331866,0.9925922,0.00016752866,0.000025477335,0.0000022488878,0.00041602802,0.0006150941,0.0056814766,0.00033323656,0.000003632846,0.00010819572],"study_design_scores_gemma":[0.0006673321,0.00004556804,0.93875986,0.000111067464,0.000065960616,0.0000031167858,0.00016050425,0.00010251254,0.05840918,0.000049041777,0.0013689199,0.0002569251],"about_ca_topic_score_codex":0.000002814599,"about_ca_topic_score_gemma":0.00034283422,"teacher_disagreement_score":0.053832356,"about_ca_system_score_codex":0.00013934975,"about_ca_system_score_gemma":0.00004365769,"threshold_uncertainty_score":0.8220811},"labels":[],"label_agreement":null},{"id":"W135678935","doi":"","title":"Demand Management in the Smart Grid: An Information Processing Perspective.","year":2011,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Smart grid; Electricity; Environmental economics; Sustainability; Demand response; Demand management; Computer science; Supply and demand; Grid; Consumption (sociology); Risk analysis (engineering); Computer security; Business; Engineering; Economics","score_opus":0.012523561559076066,"score_gpt":0.21815714440453174,"score_spread":0.2056335828454557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W135678935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6495747,0.0010731125,0.07043243,0.0014986955,0.02177843,0.006207249,0.000105740946,0.00028414524,0.24904549],"genre_scores_gemma":[0.9995928,0.000026089225,0.00011216146,0.000092737006,0.00012754358,0.000019605055,0.0000036443896,0.00000301194,0.000022418682],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988147,0.00005951143,0.0005784645,0.000020780844,0.00040798393,0.00011853179],"domain_scores_gemma":[0.99892694,0.000035251156,0.0005922618,0.000091497874,0.00033265364,0.000021389651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017740657,0.000068249035,0.00010420115,0.00016985917,0.00012906037,0.0001837021,0.0002877851,0.00006218103,8.645118e-7],"category_scores_gemma":[0.0000833464,0.000040707484,0.00006453949,0.00025040703,0.000007663232,0.0038677503,0.00001055537,0.00014554734,0.000008007612],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023046663,0.0001911126,0.0359179,0.001747577,0.0005068294,0.0000016772719,0.6169269,0.22732337,0.000037927184,0.07546388,0.031156955,0.010495429],"study_design_scores_gemma":[0.0038172952,0.00025479792,0.32607192,0.00054729724,0.00020119274,0.00014450391,0.2175819,0.15072599,0.00039152405,0.001860157,0.29785997,0.00054344605],"about_ca_topic_score_codex":0.000015205639,"about_ca_topic_score_gemma":0.00000860112,"teacher_disagreement_score":0.39934498,"about_ca_system_score_codex":0.00035972914,"about_ca_system_score_gemma":0.000021000687,"threshold_uncertainty_score":0.28040257},"labels":[],"label_agreement":null},{"id":"W141842331","doi":"10.1007/978-3-319-10347-1_3","title":"Wireless Communications Technologies for the SGCN","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Wireless; Software deployment; Telecommunications; Computer network; Computer science; Wireless network; Focus (optics); Access technology; IEEE 802","score_opus":0.018719812676059086,"score_gpt":0.23258102776605663,"score_spread":0.21386121508999756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W141842331","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028939877,0.0033580866,0.94969845,0.0013191777,0.0034704332,0.00092805555,0.000013828466,0.0011072416,0.03981535],"genre_scores_gemma":[0.89490837,0.009473298,0.08477612,0.0005509984,0.0012237603,0.00034239315,0.000010324442,0.00020530555,0.008509425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870217,0.0000050199687,0.0002770894,0.00037211852,0.00028306185,0.00036051968],"domain_scores_gemma":[0.99763757,0.00043884345,0.00006174257,0.0017459599,0.00007932087,0.000036534057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059673184,0.00023405568,0.00023972889,0.00023641338,0.00035481073,0.0001450841,0.0036295715,0.00018289327,0.0000040919153],"category_scores_gemma":[0.000028945977,0.00018594204,0.0000791342,0.0001798844,0.0018259509,0.00010379532,0.00089092745,0.0005486688,0.000024324161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021562337,0.000008793232,0.000028222543,0.00014991908,0.000015907712,0.000002691512,0.00033817513,0.01538723,0.00010711755,0.60905546,0.00080086663,0.37410346],"study_design_scores_gemma":[0.00012732246,0.000033337106,0.00014377508,0.00030044903,0.000011434136,0.000010553803,0.0000085815855,0.71394664,0.00053588365,0.010628492,0.27382183,0.00043172037],"about_ca_topic_score_codex":0.000006678422,"about_ca_topic_score_gemma":0.00007781153,"teacher_disagreement_score":0.894619,"about_ca_system_score_codex":0.00011060421,"about_ca_system_score_gemma":0.00006846186,"threshold_uncertainty_score":0.7582497},"labels":[],"label_agreement":null},{"id":"W1482578722","doi":"10.1002/sec.1057","title":"Efficient self‐healing group key management with dynamic revocation and collusion resistance for SCADA in smart grid","year":2014,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Collusion; Revocation; Key management; Computer security; Computer network; Secrecy; Forward secrecy; Key (lock); Hash function; Communication in small groups; Group key; Distributed computing; Public-key cryptography; Cryptography; Encryption; Business; Operating system","score_opus":0.0022934296437011133,"score_gpt":0.18190771938207598,"score_spread":0.17961428973837487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482578722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9173419,0.012110532,0.06649452,0.00056694774,0.0002179987,0.001090594,0.000005582361,0.00022734921,0.001944596],"genre_scores_gemma":[0.9895268,0.005931344,0.0042948863,0.000062369734,0.00002878593,0.00008996344,0.000042519547,0.0000138081905,0.000009537871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924344,0.000088860535,0.00020217932,0.00018438853,0.00009674255,0.00018436868],"domain_scores_gemma":[0.9993635,0.00015280422,0.00004664508,0.00035683461,0.000029173381,0.000051065726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005625613,0.00011920877,0.00013966455,0.00006467466,0.00026043536,0.00004611733,0.0001577579,0.00008539009,7.321682e-7],"category_scores_gemma":[0.000006951413,0.00011634585,0.000014644209,0.0002068826,0.00006880764,0.0000628205,0.00007839856,0.00019453705,3.4055873e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054674124,0.00044019174,0.004057653,0.0027910604,0.00011868988,0.0000029257942,0.016100138,0.85857093,0.00007015564,0.09740858,0.0010866302,0.018806314],"study_design_scores_gemma":[0.00063823734,0.00003361686,0.0089858025,0.00039362037,0.000016701479,0.0000022540844,0.00029257036,0.98190194,0.000004962343,0.0010114587,0.0065548797,0.00016392989],"about_ca_topic_score_codex":0.00001665038,"about_ca_topic_score_gemma":0.0019826517,"teacher_disagreement_score":0.12333104,"about_ca_system_score_codex":0.00005434073,"about_ca_system_score_gemma":0.000003533016,"threshold_uncertainty_score":0.4744446},"labels":[],"label_agreement":null},{"id":"W1484932616","doi":"10.1109/isgt.2015.7131827","title":"Denial of service attacks and mitigation for stability in cyber-enabled power grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Denial-of-service attack; Distributed computing; Nash equilibrium; Computer network; Smart grid; Topology (electrical circuits); Microgrid; Grid; Control reconfiguration; Reliability (semiconductor); Computer security; Cyber-attack; Latency (audio); Power (physics); Control (management); The Internet; Engineering; Mathematical optimization; Embedded system","score_opus":0.018106857359280113,"score_gpt":0.23193628464874172,"score_spread":0.2138294272894616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484932616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969253,0.00006922706,0.0007127069,0.00013884336,0.00025187238,0.00017480821,0.000008383524,0.000035001856,0.0016838466],"genre_scores_gemma":[0.99913055,0.0000036059898,0.0007628152,0.00003753158,0.00003640335,0.000009569516,0.0000044087774,0.0000049775354,0.00001014941],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960595,0.000010483428,0.00013019939,0.00008254325,0.0000700063,0.000100824196],"domain_scores_gemma":[0.9997402,0.000052545067,0.000010384711,0.00008227308,0.0000656571,0.00004896786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813322,0.000052587035,0.00009298385,0.000027905187,0.000009555492,0.00000697096,0.000045754212,0.000051593724,0.00001762653],"category_scores_gemma":[0.000044364555,0.000047237416,0.000012167075,0.00010238957,0.000018851973,0.000114974224,0.000014465342,0.000044601406,0.0000020444224],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012414444,0.00088224036,0.5559281,0.004959947,0.00019650337,0.000015717687,0.07384847,0.115327425,0.2049727,0.012526379,0.026804904,0.003296183],"study_design_scores_gemma":[0.0076693054,0.00040925742,0.23698881,0.00015832153,0.000038221748,0.000014897287,0.0065600765,0.32928792,0.4007526,0.006490753,0.0106868865,0.0009429562],"about_ca_topic_score_codex":0.0001073847,"about_ca_topic_score_gemma":0.0014156658,"teacher_disagreement_score":0.31893927,"about_ca_system_score_codex":0.000022657241,"about_ca_system_score_gemma":0.00001656568,"threshold_uncertainty_score":0.19262859},"labels":[],"label_agreement":null},{"id":"W1497570056","doi":"","title":"Real time simulation and testing using IEC 61850","year":2010,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"IEC 61850; Ethernet; Embedded system; Computer science; Protocol (science); Latency (audio); Reliability engineering; Engineering; Automation; Computer hardware; Telecommunications","score_opus":0.015933727729565045,"score_gpt":0.241772225316612,"score_spread":0.22583849758704694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497570056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884238,0.000006356904,0.0010787544,0.0000046574487,0.0001617446,0.000032713768,4.2293775e-7,0.00018993029,0.010101608],"genre_scores_gemma":[0.99172,0.0000013901329,0.008072046,0.000005100913,0.00013269718,2.9265988e-7,5.4941694e-7,0.0000069825883,0.000060950384],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974316,0.0000027597896,0.00005962122,0.000061758954,0.000045026805,0.00008768754],"domain_scores_gemma":[0.9997981,0.00008969116,0.000005805087,0.000059427006,0.000013790585,0.000033180946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000511356,0.00004514639,0.00004311796,0.000022894714,0.000049872648,0.000021512622,0.000027335387,0.000044134642,0.00004519535],"category_scores_gemma":[0.000042226508,0.00004093053,0.000006473857,0.00006592809,0.000019667204,0.0000942617,0.00001203086,0.00008606899,0.000018592502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.2895315e-7,0.0000034927737,0.003989639,0.0000150745645,0.0000028350266,0.000001872558,0.00014953525,0.44179854,0.5514585,0.000121883684,0.000026573085,0.0024312285],"study_design_scores_gemma":[0.000044486645,0.0000039435454,0.007472402,0.000005037231,0.0000024837877,0.000005847528,0.0000063539555,0.989149,0.0030144402,0.00005980211,0.00017492738,0.00006132399],"about_ca_topic_score_codex":0.000043230564,"about_ca_topic_score_gemma":0.000015537515,"teacher_disagreement_score":0.5484441,"about_ca_system_score_codex":0.000004583937,"about_ca_system_score_gemma":0.000004298,"threshold_uncertainty_score":0.16690986},"labels":[],"label_agreement":null},{"id":"W1516842272","doi":"10.1109/icc.2015.7249353","title":"Guarding an area of interest in sensor grids with unreliable nodes","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Dependability; Computer science; Wireless sensor network; Guard (computer science); Network topology; Reliability (semiconductor); Grid; Distributed computing; Intrusion detection system; Measure (data warehouse); Grid network; Computer network; Data mining; Mathematics","score_opus":0.07647739664304369,"score_gpt":0.23745933988235476,"score_spread":0.1609819432393111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516842272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877931,0.0000601951,0.0017494309,0.000020138394,0.00015669208,0.000044682227,0.000001503553,0.00008399328,0.010090262],"genre_scores_gemma":[0.99796283,0.000008713179,0.0018672833,0.000015118512,0.000031342628,0.0000021452636,0.0000017781689,0.0000094682055,0.00010134211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960965,0.000009100396,0.00010718374,0.00008369731,0.0000579276,0.00013246575],"domain_scores_gemma":[0.99973893,0.00002112498,0.000008740332,0.00012967117,0.000037501708,0.0000640586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010317461,0.00006987826,0.00011244439,0.00006843116,0.000007953937,0.000010804285,0.00008629897,0.000037466256,0.000019471303],"category_scores_gemma":[0.000022696933,0.000051696872,0.000010983862,0.00014841543,0.000031866486,0.00015137841,0.0000145456215,0.000083321655,0.00000808675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010858239,0.00016646364,0.13056509,0.00022293818,0.000043926084,0.000076768374,0.0052574463,0.8333373,0.021353507,0.0031725639,0.004688299,0.0010071271],"study_design_scores_gemma":[0.0034393307,0.0009330934,0.03597194,0.00093076954,0.000033107957,0.00012559681,0.023502238,0.6436566,0.28457788,0.0009408004,0.0046500093,0.001238619],"about_ca_topic_score_codex":0.00016227328,"about_ca_topic_score_gemma":0.00070767687,"teacher_disagreement_score":0.26322436,"about_ca_system_score_codex":0.000022477752,"about_ca_system_score_gemma":0.000012538024,"threshold_uncertainty_score":0.21081372},"labels":[],"label_agreement":null},{"id":"W1517092912","doi":"10.1109/cpre.2015.7102197","title":"What protection engineers need to know about networking","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Ethernet; Computer security; Computer science; Virtual LAN; IEC 61850; Computer network; Software deployment; Flexibility (engineering); Carrier Ethernet; Telecommunications; Engineering; Automation","score_opus":0.014831293132408432,"score_gpt":0.21197855997234183,"score_spread":0.1971472668399334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517092912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6115934,0.009081847,0.2981255,0.0021278278,0.038157433,0.0016764599,0.0000013253481,0.0041090576,0.035127115],"genre_scores_gemma":[0.9975144,0.00018604299,0.0006883354,0.00011783872,0.0008192504,0.000036546877,0.0000013246157,0.000020913194,0.00061533897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944,0.000008301196,0.00009924749,0.00010584753,0.00012754515,0.0002190202],"domain_scores_gemma":[0.9996601,0.000009907173,0.000005926503,0.00012488548,0.00003000114,0.00016923259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012056388,0.000094541196,0.00008304726,0.000072375784,0.000030013964,0.00009649441,0.00009079352,0.00006309575,0.000016092228],"category_scores_gemma":[0.00001642269,0.00008666788,0.00002471817,0.0002823681,0.000008809341,0.0003086141,0.000019575753,0.00011784563,0.00018754062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010820733,0.000010368641,0.00009006405,0.00002998269,0.000015558171,0.0000046499695,0.0029886188,0.94190574,0.0017882617,0.00025137974,0.027026318,0.025878262],"study_design_scores_gemma":[0.0003268493,0.00008257881,0.0003401039,0.00019839003,0.0000076393535,0.000016090493,0.002458342,0.49327168,0.009094148,0.00010639566,0.49369046,0.0004072971],"about_ca_topic_score_codex":0.00001983217,"about_ca_topic_score_gemma":0.00004311783,"teacher_disagreement_score":0.46666417,"about_ca_system_score_codex":0.000057596,"about_ca_system_score_gemma":0.000009686633,"threshold_uncertainty_score":0.35342136},"labels":[],"label_agreement":null},{"id":"W1523756834","doi":"10.1002/sec.559","title":"A survey on security issues in smart grids","year":2012,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Government; U.S. Department of Energy","keywords":"Smart grid; Computer science; Computer security; Grid; Context (archaeology); Key (lock); Grid computing","score_opus":0.01301757511986825,"score_gpt":0.2430578300045461,"score_spread":0.23004025488467783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523756834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639067,0.029950952,0.000099281584,0.0002526027,0.00044395516,0.0002109736,0.000013935879,0.00019451174,0.004927108],"genre_scores_gemma":[0.98713183,0.01243075,0.000030143492,0.00014717154,0.00012951308,0.000021414418,0.00008036722,0.000016151995,0.000012650529],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987962,0.00034301123,0.00023858191,0.00013256943,0.00012735596,0.0003622443],"domain_scores_gemma":[0.9989344,0.0003180196,0.000030721854,0.00056520186,0.000027155775,0.00012452721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010104107,0.00016469428,0.00020233485,0.00007635582,0.00014231975,0.000045711513,0.00030401698,0.00019231964,0.000029669387],"category_scores_gemma":[0.000044099,0.00016898889,0.000032543412,0.00030571801,0.00011534035,0.0002627794,0.00011484815,0.00065617554,0.00001848871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024487704,0.0013498619,0.8202341,0.0002599804,0.00013300162,0.000005550274,0.05160114,0.03249932,0.000022665086,0.036842156,0.042661812,0.014145505],"study_design_scores_gemma":[0.0006212126,0.000058583602,0.7481072,0.00020300792,0.000011318223,0.000006697224,0.00051568594,0.21497017,0.00009674996,0.0029593136,0.03186317,0.0005868931],"about_ca_topic_score_codex":0.00041883718,"about_ca_topic_score_gemma":0.0033787184,"teacher_disagreement_score":0.18247084,"about_ca_system_score_codex":0.00003650495,"about_ca_system_score_gemma":0.0000057691723,"threshold_uncertainty_score":0.6891167},"labels":[],"label_agreement":null},{"id":"W1544363552","doi":"10.1109/pess.2002.1043578","title":"Dynamic security assessment: system architecture based on multi-agent systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Computer science; Flexibility (engineering); Robustness (evolution); Reliability engineering; Architecture; Reliability (semiconductor); Component (thermodynamics); Key (lock); Distributed computing; Embedded system; Computer security; Power (physics); Engineering","score_opus":0.0059932250315093225,"score_gpt":0.22036708758684503,"score_spread":0.21437386255533572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544363552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22114612,0.0008797781,0.65348715,0.000059340906,0.0062949792,0.001270223,0.00005961808,0.0024840084,0.11431881],"genre_scores_gemma":[0.99788785,0.0000081048975,0.0018203463,0.000036802052,0.000029148792,0.000041197884,0.000007883276,0.000029149627,0.0001395359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883074,0.000107743166,0.00021967752,0.00024211947,0.00027613598,0.00032356192],"domain_scores_gemma":[0.99938595,0.00007536278,0.000023876462,0.00036272674,0.000023534258,0.00012855366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022554433,0.00021452091,0.00020972211,0.00011096255,0.00009899611,0.000060967173,0.00015855934,0.00012232187,0.00003913382],"category_scores_gemma":[0.000014251396,0.00017406358,0.000078622485,0.00018464439,0.000025898262,0.00004148555,0.000009082045,0.00031637106,0.00007711056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029085663,0.00007323761,0.00039213206,0.0007011106,0.000023943187,0.00003245878,0.00014819081,0.9906666,0.00048312446,0.0071411626,0.00027345706,0.00006162273],"study_design_scores_gemma":[0.0004219835,0.000034186884,0.00065951183,0.00014461884,0.000009960192,0.000020350433,0.000318861,0.99318755,0.0003911132,0.000008067179,0.004568843,0.00023493118],"about_ca_topic_score_codex":0.000019965517,"about_ca_topic_score_gemma":0.00003765213,"teacher_disagreement_score":0.7767417,"about_ca_system_score_codex":0.00022988117,"about_ca_system_score_gemma":0.000031106287,"threshold_uncertainty_score":0.7098107},"labels":[],"label_agreement":null},{"id":"W1553935757","doi":"10.1007/978-3-540-72863-4_48","title":"A Web Services-Based Architecture for Wide-Area Protection System Design and Simulation","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Web service; Architecture; Computer science; Electric power system; Energy management system; Scheme (mathematics); Service (business); Power (physics); Energy (signal processing); Energy management; World Wide Web","score_opus":0.019151616784615244,"score_gpt":0.2265807366501223,"score_spread":0.20742911986550705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553935757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007296428,0.0003586915,0.99628145,0.00004195359,0.00085161685,0.0013101323,0.000007419234,0.00027552084,0.0001435601],"genre_scores_gemma":[0.8803503,0.0000065019235,0.119099125,0.00017365933,0.00027493367,0.00003247938,0.0000065758854,0.00004509584,0.000011362325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984278,0.000015154746,0.0002754182,0.00056351325,0.00036021517,0.00035787188],"domain_scores_gemma":[0.9988186,0.00060076214,0.00007939983,0.0003051955,0.00010526092,0.000090787966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005543117,0.00033880307,0.00028828307,0.00054245745,0.00018057853,0.00013635831,0.00034251946,0.00035356535,0.0000021556668],"category_scores_gemma":[0.000025556163,0.00030334428,0.00006004189,0.00023983032,0.00018841753,0.0001145889,0.000053064112,0.00044813813,0.0000021773967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002385232,0.0000030705612,0.000006077192,0.00066786265,0.0000049938662,0.000006928473,0.0002460208,0.93649477,0.00025196627,0.000042561314,8.128832e-7,0.06225111],"study_design_scores_gemma":[0.0002597578,0.00011417186,0.00002125047,0.00090523047,0.000011273189,0.000017805427,3.4697203e-7,0.99424154,0.0013342259,0.0020736065,0.0006903049,0.0003304634],"about_ca_topic_score_codex":0.0000059221134,"about_ca_topic_score_gemma":0.00008919427,"teacher_disagreement_score":0.8796206,"about_ca_system_score_codex":0.00020650378,"about_ca_system_score_gemma":0.00009486835,"threshold_uncertainty_score":0.9999419},"labels":[],"label_agreement":null},{"id":"W1570281671","doi":"10.1109/icc.2015.7248424","title":"Robustness of the routing protocol for low-power and lossy networks (RPL) in smart grid's neighbor-area networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Robustness (evolution); Routing protocol; Lossy compression; Smart grid; Distributed computing; Routing (electronic design automation); Engineering","score_opus":0.016553135311359927,"score_gpt":0.23674956953109744,"score_spread":0.2201964342197375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570281671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20004912,0.00029456423,0.63087857,0.00032048186,0.004027335,0.15494841,0.00001056982,0.00042393195,0.009047001],"genre_scores_gemma":[0.9804033,0.0000033857816,0.0004026978,0.000046290428,0.0002886732,0.018768,0.000001804525,0.000028146982,0.000057692898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989941,0.000031537937,0.00030867604,0.00018010053,0.000135512,0.0003500444],"domain_scores_gemma":[0.9994345,0.000120950346,0.00004880038,0.0002423794,0.00006398641,0.00008943042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003794359,0.0001650984,0.00021659232,0.000037406135,0.000054681685,0.000034956713,0.00022097485,0.00016387671,0.000014064757],"category_scores_gemma":[0.000057337365,0.00011154721,0.00005622822,0.0002708283,0.00008437061,0.00013400152,0.000091948365,0.00024496927,2.9633313e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037740345,0.000026048861,0.013180068,0.00006378755,0.000008846258,8.9341864e-7,0.00016813149,0.98312515,0.0000074722216,0.00030698584,0.0027548082,0.00032005945],"study_design_scores_gemma":[0.0009842857,0.000037952454,0.005110204,0.0001865289,0.00000461289,0.000005241439,0.00013298183,0.9917932,0.00016291952,0.000032880445,0.0013855814,0.00016362302],"about_ca_topic_score_codex":0.000027706661,"about_ca_topic_score_gemma":0.00024829365,"teacher_disagreement_score":0.7803542,"about_ca_system_score_codex":0.0000369688,"about_ca_system_score_gemma":0.0000276679,"threshold_uncertainty_score":0.45487633},"labels":[],"label_agreement":null},{"id":"W1602600734","doi":"10.1109/ccece.2015.7129516","title":"On using distributed control schemes to mitigate switching attacks in smart grids","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart grid; Computer science; Transient (computer programming); Grid; Electric power system; Control (management); Adversary; Scheme (mathematics); Generator (circuit theory); Distributed computing; Power (physics); Engineering; Computer security; Electrical engineering","score_opus":0.020282216551015662,"score_gpt":0.2502245371753457,"score_spread":0.22994232062433004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602600734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94044125,0.00006460137,0.057300705,0.00016283027,0.00049336615,0.00015431293,0.000011007578,0.00017821995,0.0011937001],"genre_scores_gemma":[0.9991708,0.0000018683425,0.00048372152,0.00021321891,0.000085637424,0.00000702589,0.0000048760844,0.000015370184,0.000017524575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991703,0.000020683208,0.00018245062,0.00015737844,0.00016681972,0.00030238778],"domain_scores_gemma":[0.999551,0.000058402165,0.000010514261,0.00015754647,0.000027865271,0.00019469565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018364731,0.0001334116,0.00016903087,0.00009914935,0.000034340675,0.000039138897,0.00012690462,0.000069727284,0.000016528229],"category_scores_gemma":[0.00010869781,0.00011893122,0.00003174554,0.00025293758,0.000012933738,0.00011670784,0.000024351599,0.00018511727,0.000072793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063746455,0.000055324737,0.017333822,0.0000371192,0.000030021072,0.000053014097,0.0007564079,0.9588872,0.016537057,0.0017739864,0.0037393929,0.0007328953],"study_design_scores_gemma":[0.0019700245,0.00009546712,0.007504828,0.00018998209,0.000011586484,0.0000131180095,0.00032448638,0.9654604,0.015592314,0.0005351154,0.0077776182,0.0005250326],"about_ca_topic_score_codex":0.00009298993,"about_ca_topic_score_gemma":0.00014451322,"teacher_disagreement_score":0.0587295,"about_ca_system_score_codex":0.000116080686,"about_ca_system_score_gemma":0.000022668257,"threshold_uncertainty_score":0.48498744},"labels":[],"label_agreement":null},{"id":"W1603771045","doi":"10.1109/isgt.2015.7131855","title":"On using energy storage systems in switching attacks that destabilize smart grid systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric power system; Circuit breaker; Smart grid; Computer science; Adversary; Variable (mathematics); Generator (circuit theory); Energy storage; Grid; Boundary (topology); Stability (learning theory); Control theory (sociology); State variable; State (computer science); Power (physics); Engineering; Computer security; Electrical engineering; Control (management); Mathematics; Physics","score_opus":0.03912344381286054,"score_gpt":0.23609821809771098,"score_spread":0.19697477428485044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603771045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96048063,0.0022467521,0.024868645,0.00000987069,0.0064188787,0.00018957685,0.000003825847,0.00034056525,0.0054412507],"genre_scores_gemma":[0.999416,0.0000320146,0.00007130278,0.000025058554,0.00029947204,0.000018511926,0.0000034433904,0.000039450326,0.00009477974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985858,0.000097471144,0.00030013194,0.00025574933,0.00035528664,0.00040556953],"domain_scores_gemma":[0.99928105,0.00013419292,0.000037121823,0.00032403838,0.000033773576,0.0001898309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043960274,0.00022443674,0.000304077,0.00019125619,0.00005663794,0.00012660757,0.00020672883,0.0001505447,0.0000063683424],"category_scores_gemma":[0.00004081503,0.00019419519,0.000044604792,0.00025026634,0.000021442409,0.0002577624,0.000040842486,0.00022788423,0.000024860516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012781855,0.000025425727,0.0022482725,0.0001259295,0.000011816374,0.000051439656,0.00055217044,0.99228233,0.0009602477,0.0027688707,0.0009147068,0.00004602387],"study_design_scores_gemma":[0.0004205718,0.000041635572,0.00025171437,0.00033673047,0.000006956479,0.00006277006,0.0016496412,0.99127644,0.0008010041,0.000036760648,0.0047665853,0.00034920458],"about_ca_topic_score_codex":0.0031364171,"about_ca_topic_score_gemma":0.00038999892,"teacher_disagreement_score":0.038935333,"about_ca_system_score_codex":0.0003593632,"about_ca_system_score_gemma":0.000042967287,"threshold_uncertainty_score":0.79190505},"labels":[],"label_agreement":null},{"id":"W1607205770","doi":"10.1002/gas.21764","title":"Regulatory Framework for Utilities in Canada Versus United States","year":2014,"lang":"en","type":"article","venue":"Natural Gas & Electricity","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Jurisdiction; State (computer science); Regulatory state; Business; Regulatory authority; Business as usual; Industrial organization; Economics; Public administration; Finance; Political science; Law; Computer science; Economic system; Corporate governance","score_opus":0.006326329640236908,"score_gpt":0.204286693477359,"score_spread":0.1979603638371221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607205770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99635434,0.0011717109,0.000792383,0.00011687237,0.001179678,0.00014164754,0.000009064068,0.0001010222,0.00013330806],"genre_scores_gemma":[0.9991306,0.000098136654,0.00040015508,0.00016338823,0.0001293937,0.000012386215,0.000027531492,0.0000142120425,0.000024206733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907136,0.000030892148,0.00015513155,0.00014725202,0.00017819514,0.00041716447],"domain_scores_gemma":[0.9990701,0.00065681426,0.000020034784,0.00014467665,0.00004763573,0.00006072598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011967812,0.00013380466,0.00016144395,0.000111710324,0.00006249823,0.000015172999,0.00016746036,0.00009555876,0.00000789251],"category_scores_gemma":[0.0002939002,0.00012647097,0.000033811477,0.0004996743,0.0000249936,0.00006402507,0.000011555342,0.00045327767,0.000001367922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00332087,0.0002084061,0.03316138,0.0017438089,0.000499222,0.000057860514,0.004865032,0.56892276,0.005300726,0.1388761,0.094559394,0.14848445],"study_design_scores_gemma":[0.0012145643,0.00013381231,0.026762173,0.00006977308,0.000018457138,0.0000033455574,0.00025437988,0.89711744,0.019878473,0.010316921,0.04363807,0.0005925964],"about_ca_topic_score_codex":0.17672288,"about_ca_topic_score_gemma":0.55378926,"teacher_disagreement_score":0.37706634,"about_ca_system_score_codex":0.00046572264,"about_ca_system_score_gemma":0.000111782996,"threshold_uncertainty_score":0.8287594},"labels":[],"label_agreement":null},{"id":"W168473357","doi":"10.1007/978-3-642-40597-6_14","title":"A Privacy Preserving Approach to Smart Metering","year":2013,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Metering mode; Demand side; Computer science; Power consumption; Entropy (arrow of time); Computer security; Home automation; Demand response; Transformer; Smart grid; Telecommunications; Electricity; Power (physics); Engineering; Environmental economics; Electrical engineering","score_opus":0.03681265928214726,"score_gpt":0.25145734517174884,"score_spread":0.21464468588960156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W168473357","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011782368,0.00040346754,0.13069433,0.00014777522,0.00033908786,0.0005826202,0.000007376865,0.00017205777,0.86647505],"genre_scores_gemma":[0.4555014,0.0075356746,0.53012776,0.0015174069,0.00021360748,0.00033459166,0.00012975132,0.000067559966,0.004572251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990111,0.000008351335,0.00039838807,0.00014129112,0.00024676244,0.00019408988],"domain_scores_gemma":[0.99844044,0.0000684572,0.000055406574,0.001205904,0.00011984566,0.000109952416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038489368,0.00015983755,0.00016884509,0.0006291397,0.00022880988,0.0003581453,0.001771054,0.000086513566,0.0000125991555],"category_scores_gemma":[0.000025498106,0.00016007997,0.000025126375,0.0002569236,0.00027006338,0.0032479337,0.0014897897,0.0003280828,0.0001091567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050180324,0.000054539498,0.00019742487,0.0008299814,0.000042861957,4.840765e-7,0.031312864,0.0956108,0.00011764037,0.44641933,0.008690653,0.4167184],"study_design_scores_gemma":[0.00007396664,0.000012554173,0.0009054743,0.00016787126,0.0000027346248,0.00000958859,0.000025446252,0.7292354,0.000013458839,0.00061593496,0.26869884,0.000238712],"about_ca_topic_score_codex":0.000012397689,"about_ca_topic_score_gemma":0.0000028596469,"teacher_disagreement_score":0.8619028,"about_ca_system_score_codex":0.00008690275,"about_ca_system_score_gemma":0.000043180695,"threshold_uncertainty_score":0.65278715},"labels":[],"label_agreement":null},{"id":"W1718154193","doi":"10.1109/fusion.1993.518399","title":"TdeV control system upgrade","year":2002,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stem Cell Network","funders":"","keywords":"VMEbus; Upgrade; Siemens; Computer Automated Measurement and Control; Computer science; Ethernet; Operating system; Workstation; Control system; Interface (matter); Software; Embedded system; Computer hardware; Data acquisition; Engineering; Electrical engineering","score_opus":0.005203868155869042,"score_gpt":0.14094019048656647,"score_spread":0.13573632233069743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1718154193","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21569051,0.0039517903,0.037535068,0.00048774335,0.002945381,0.000361765,0.000010246328,0.0036681,0.7353494],"genre_scores_gemma":[0.9988086,0.000026739443,0.000102621605,0.000051536124,0.00012952309,0.000005560301,2.233275e-7,0.0000075470266,0.0008675994],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996416,0.000006237535,0.00007929089,0.0000619591,0.00007219837,0.0001387144],"domain_scores_gemma":[0.9998164,0.000021045249,0.00000411119,0.00010449652,0.0000060049647,0.00004792265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027266087,0.00005797005,0.00007474808,0.000024127377,0.000029905965,0.000014289529,0.00007599602,0.000038419876,0.0002421917],"category_scores_gemma":[0.0000037174675,0.000047167177,0.00002757124,0.000066056025,0.000012905964,0.000047345606,0.000003804218,0.00006171282,0.00071072846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013333741,0.00017852242,0.007660012,0.0014755669,0.00033456937,0.0003089078,0.0035554566,0.20343985,0.01753487,0.14155206,0.61083287,0.013114005],"study_design_scores_gemma":[0.00043101615,0.000014340824,0.0008453328,0.000025381005,0.000008435375,0.000037084053,0.00017070664,0.94719183,0.0019308921,0.000012955942,0.049160436,0.00017158224],"about_ca_topic_score_codex":0.000004931929,"about_ca_topic_score_gemma":0.0000042168244,"teacher_disagreement_score":0.7831181,"about_ca_system_score_codex":0.000019336485,"about_ca_system_score_gemma":6.759146e-7,"threshold_uncertainty_score":0.91352135},"labels":[],"label_agreement":null},{"id":"W1770527767","doi":"10.1109/tetc.2013.2296440","title":"A Framework for Modeling Cyber-Physical Switching Attacks in Smart Grid","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Cyber-physical system; Computer science; Smart grid; Computer security; Grid; Vulnerability (computing); Distributed computing; Electric power system; Intrusion detection system; Circuit breaker; Adversary; Electricity; Critical infrastructure; Power (physics); Engineering; Electrical engineering","score_opus":0.021373316483067412,"score_gpt":0.28099547907471384,"score_spread":0.25962216259164644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1770527767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46493387,0.000022548418,0.53329825,0.00013107347,0.0012486645,0.00017325467,0.0000010311948,0.00011079194,0.00008051986],"genre_scores_gemma":[0.9821784,0.00001982518,0.017209558,0.00006229133,0.0004443736,0.00004466699,8.012906e-7,0.000032136773,0.000007963817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877214,0.00002712657,0.00034557647,0.00027194695,0.00014772423,0.00043549534],"domain_scores_gemma":[0.9993915,0.00029692173,0.000023461604,0.00020235087,0.000027213579,0.0000585683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017128288,0.00018771474,0.00023629161,0.00023190201,0.00015898915,0.000053318407,0.00019121288,0.00012678497,0.0000085330275],"category_scores_gemma":[0.00001627117,0.00020783316,0.00010281568,0.00034027232,0.000015692343,0.0001662921,0.0000030073618,0.0007913484,0.00001120687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033249714,0.000058440506,0.00014960826,0.00006268073,0.000009902683,0.0000020129069,0.002540988,0.973598,0.00021725209,0.0003439666,0.000010289995,0.023003502],"study_design_scores_gemma":[0.00024842116,0.000020345136,0.000159758,0.00031100024,0.000005318161,0.0000022514262,0.00025776104,0.9940013,0.00095199666,0.0037471214,0.0000682612,0.00022645567],"about_ca_topic_score_codex":0.00016277801,"about_ca_topic_score_gemma":0.0001317284,"teacher_disagreement_score":0.5172445,"about_ca_system_score_codex":0.000112545335,"about_ca_system_score_gemma":0.00001384697,"threshold_uncertainty_score":0.84751904},"labels":[],"label_agreement":null},{"id":"W182418918","doi":"","title":"Cloud-based security services for the smart grid","year":2013,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer security; Computer science; Cloud computing; Smart grid; Cloud computing security; Scope (computer science); Security service; Enterprise information security architecture; Service (business); Computer security model; Security management; Architecture; Business; Information security; Engineering; Operating system","score_opus":0.05124367993350528,"score_gpt":0.34290535652857507,"score_spread":0.2916616765950698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W182418918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881638,0.020009391,0.0024978577,0.05002666,0.01292147,0.02694848,0.0027314527,0.0003680016,0.002858717],"genre_scores_gemma":[0.99719554,0.0008867015,0.000255367,0.000068740046,0.00019458207,0.0010531022,0.0000060807142,0.000023171577,0.0003167187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982828,0.00015263377,0.00027906228,0.00027892092,0.000462006,0.0005445696],"domain_scores_gemma":[0.993087,0.0029402976,0.00008069712,0.00048171,0.0033401996,0.00007007975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005942019,0.00020890875,0.00031519486,0.00006575573,0.0007503518,0.00007274628,0.00077800226,0.00006806806,0.000019850424],"category_scores_gemma":[0.0007989244,0.00011613599,0.000111187685,0.00071135623,0.00062046596,0.0001497398,0.00013848893,0.00030018247,0.000011984413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042847157,0.0012378363,0.0027305852,0.014209564,0.0033817547,0.000003834634,0.083968736,0.38988513,0.042378798,0.121471316,0.31098026,0.025467457],"study_design_scores_gemma":[0.0037786139,0.0011623987,0.00083264214,0.001418133,0.00007583168,4.463571e-7,0.10049998,0.21626435,0.405883,0.024290852,0.24505937,0.00073435],"about_ca_topic_score_codex":0.000011101123,"about_ca_topic_score_gemma":0.0006941074,"teacher_disagreement_score":0.36350423,"about_ca_system_score_codex":0.000118111675,"about_ca_system_score_gemma":0.00015133747,"threshold_uncertainty_score":0.57711756},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.007933430593306187,"score_gpt":0.2051679023230546,"score_spread":0.1972344717297484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1827877219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8786645,0.0014963754,0.116282076,0.000033018554,0.002545373,0.00031822827,0.000027881384,0.00057720963,0.000055350567],"genre_scores_gemma":[0.9806741,0.000041263527,0.018108753,0.000028967692,0.0007498682,0.00028036907,0.00003835327,0.000060423365,0.00001790992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834615,0.000008835626,0.00043905317,0.00035354772,0.00024112103,0.0006113181],"domain_scores_gemma":[0.99950874,0.000044439097,0.00005805644,0.0002151415,0.00005801293,0.00011560079],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032362778,0.00030891833,0.00028257634,0.00006241662,0.00014091271,0.00008380915,0.00022621649,0.00020761251,0.0000037509944],"category_scores_gemma":[0.00004871471,0.00032965714,0.00020102612,0.00036935523,0.00003301859,0.00019888004,0.000017704608,0.0002244126,0.000005267039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017794382,0.000015047435,0.00006783712,0.00014290074,0.0000242825,0.000003522877,0.005404389,0.9347298,0.058583487,0.0003383712,0.0006340273,0.00005453204],"study_design_scores_gemma":[0.00080178364,0.00004497376,0.00012269539,0.0003512331,0.000012384266,0.000016022364,0.0018140088,0.88010496,0.11518547,0.000013994129,0.0009814632,0.00055104],"about_ca_topic_score_codex":0.000056683635,"about_ca_topic_score_gemma":0.00002945198,"teacher_disagreement_score":0.1020096,"about_ca_system_score_codex":0.00046337966,"about_ca_system_score_gemma":0.000029180448,"threshold_uncertainty_score":0.99991554},"labels":[],"label_agreement":null},{"id":"W1910221752","doi":"10.1002/sec.690","title":"A framework for intrusion detection system in advanced metering infrastructure","year":2012,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Metering mode; Intrusion detection system; Intrusion prevention system; Computer security; Critical infrastructure; Intrusion; Geology","score_opus":0.006170757504704192,"score_gpt":0.22420624473729145,"score_spread":0.21803548723258726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910221752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.747539,0.010975693,0.24005505,0.000025073468,0.0005958507,0.00033706625,0.0000026932175,0.00020654633,0.00026304566],"genre_scores_gemma":[0.99304706,0.0015852348,0.005103375,0.00002335929,0.00013509004,0.0000816322,0.000010056809,0.000013645564,5.575587e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993918,0.000055867506,0.00018078422,0.00008843321,0.00005605918,0.00022707308],"domain_scores_gemma":[0.99941903,0.00017667067,0.00003621549,0.00028744657,0.000018700428,0.00006193219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025987587,0.00010535847,0.00013311577,0.00005622107,0.00015358509,0.000027823182,0.00014741317,0.00019469015,0.0000026049747],"category_scores_gemma":[0.000026905262,0.00010855442,0.00002746894,0.00017902884,0.000034058125,0.0002583839,0.00007049224,0.00038118378,7.3148846e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029881028,0.00013052611,0.008159796,0.0015355748,0.00009170286,0.0000010144818,0.031359505,0.55788726,0.002225358,0.089831404,0.00015332423,0.30832574],"study_design_scores_gemma":[0.0005267291,0.00004101286,0.010220309,0.0005521326,0.000019042698,0.000019990652,0.002677928,0.9700485,0.0011663019,0.009192887,0.005175472,0.0003597209],"about_ca_topic_score_codex":0.000007333794,"about_ca_topic_score_gemma":0.00006608675,"teacher_disagreement_score":0.41216123,"about_ca_system_score_codex":0.000063842745,"about_ca_system_score_gemma":0.0000025396785,"threshold_uncertainty_score":0.44267207},"labels":[],"label_agreement":null},{"id":"W1923430335","doi":"10.1109/wescan.1991.160523","title":"Selection criteria for TransGas SCADA host architecture","year":2002,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"SCADA; Host (biology); Pipeline (software); Computer science; Modular design; Workstation; Architecture; Embedded system; State (computer science); Selection (genetic algorithm); Minicomputer; Operating system; Software engineering; Engineering; Artificial intelligence; Programming language","score_opus":0.013619014490438446,"score_gpt":0.21857070316168045,"score_spread":0.204951688671242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1923430335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6161218,0.0007295006,0.3476801,0.0009547745,0.0016915001,0.00056501967,0.000023413042,0.0012489044,0.030984975],"genre_scores_gemma":[0.9960234,0.000044030377,0.0028818052,0.000084986925,0.0002490304,0.000019652703,0.0000018891893,0.000013980005,0.00068119296],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962014,0.0000051782436,0.00007321273,0.0000891708,0.000053211603,0.00015906992],"domain_scores_gemma":[0.99986345,0.000025561289,0.0000035855958,0.00005676468,0.00001167171,0.00003897789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029070708,0.00007345549,0.00006598819,0.000038304304,0.000058382433,0.000020985728,0.000059166974,0.00005436609,0.0004957896],"category_scores_gemma":[0.0000063682287,0.00006313672,0.000041354364,0.000098315955,0.000013982147,0.000054206226,0.000002137863,0.000078154044,0.000026360793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007075472,0.00022849061,0.00088090193,0.0010980938,0.000172768,0.000009080337,0.009656249,0.07248432,0.57154447,0.0042372565,0.28823397,0.051383644],"study_design_scores_gemma":[0.0007289865,0.00013723917,0.0019375845,0.000032807744,0.000021398886,0.00005810217,0.00007733593,0.6042213,0.1373155,0.00048514456,0.2545237,0.00046091405],"about_ca_topic_score_codex":0.000005024745,"about_ca_topic_score_gemma":0.00006411079,"teacher_disagreement_score":0.53173697,"about_ca_system_score_codex":0.000011349729,"about_ca_system_score_gemma":0.0000012609025,"threshold_uncertainty_score":0.5428548},"labels":[],"label_agreement":null},{"id":"W1926089503","doi":"10.1109/ecce.2015.7309828","title":"New smart-grid operation-based network access control","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Access control; Computer science; Grid; Computer network; Microgrid; Computer security; Metering mode; Access network; Distributed computing; Control (management); Engineering","score_opus":0.018910179731613568,"score_gpt":0.23620006768853688,"score_spread":0.2172898879569233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1926089503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02536961,0.001205867,0.9134882,0.0014334843,0.0071582864,0.0004688938,0.0000074817194,0.0011823253,0.049685817],"genre_scores_gemma":[0.99539477,0.0000079663705,0.0020407587,0.00078554824,0.001401845,0.0000096657695,0.000008799774,0.000014988537,0.0003356633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993988,0.00001608201,0.00012703436,0.00010536077,0.00013925573,0.00021342681],"domain_scores_gemma":[0.99954265,0.000051440158,0.000008645398,0.00015793355,0.000032258755,0.00020705651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011352029,0.00009689092,0.00011194829,0.000025037443,0.000043989832,0.000108112356,0.00020591637,0.000058442394,0.0004376962],"category_scores_gemma":[0.000021439726,0.00008106646,0.000030314613,0.00013136791,0.000013745912,0.00020438553,0.00001375964,0.00009146259,0.00018986693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007081224,0.0000040474824,0.003635086,0.0000044723597,0.000007950249,0.0000023730872,0.000031735995,0.7816565,0.000024346169,0.00060533604,0.21357839,0.00044268297],"study_design_scores_gemma":[0.0014485905,0.000038222304,0.0030912473,0.000015498363,0.000012673987,0.0000025516877,0.000018786008,0.9059207,0.0015767678,0.00040187335,0.08721605,0.00025708214],"about_ca_topic_score_codex":0.00012035476,"about_ca_topic_score_gemma":0.00027467828,"teacher_disagreement_score":0.9700252,"about_ca_system_score_codex":0.000026984679,"about_ca_system_score_gemma":0.000091331196,"threshold_uncertainty_score":0.47924668},"labels":[],"label_agreement":null},{"id":"W1926766979","doi":"10.1002/wcm.2258","title":"Smart grid sensor data collection, communication, and networking: a tutorial","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Nanyang Technological University","keywords":"Smart grid; Computer science; Standardization; Data collection; Grid; Telecommunications network; Wireless sensor network; Context (archaeology); Distributed computing; Telecommunications; Computer network; Electrical engineering; Engineering","score_opus":0.02748863634154529,"score_gpt":0.26203033833268313,"score_spread":0.23454170199113783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1926766979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92321736,0.064054266,0.0065058824,0.00029807963,0.002335294,0.00063684874,0.000030149213,0.0005932554,0.002328879],"genre_scores_gemma":[0.9803117,0.013733526,0.0052031954,0.00003380843,0.00052895,0.00002625744,0.00012180318,0.000022386517,0.000018391856],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905306,0.00013571692,0.00028055286,0.00016304488,0.00009091909,0.0002767317],"domain_scores_gemma":[0.997564,0.00042870324,0.000058397534,0.0017687422,0.0000568992,0.00012322291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005316741,0.00014254013,0.00018164903,0.00006169598,0.00088266394,0.000100199,0.00072123803,0.00008471777,0.0000035357143],"category_scores_gemma":[0.00001579605,0.00015038847,0.000017672264,0.00026367785,0.00023998287,0.00027680196,0.001174398,0.00030841053,0.0000037031707],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053225336,0.0010346521,0.2775296,0.00067953306,0.00062103756,0.000002462952,0.04872389,0.005439042,0.0030414916,0.012897895,0.045247246,0.60472995],"study_design_scores_gemma":[0.00030955864,0.00001736367,0.0046238005,0.000094844545,0.000029515028,0.00005043505,0.00072856987,0.58085984,0.00004106118,0.000027485334,0.41295794,0.0002596035],"about_ca_topic_score_codex":0.000082869316,"about_ca_topic_score_gemma":0.000054213382,"teacher_disagreement_score":0.6044703,"about_ca_system_score_codex":0.00002720689,"about_ca_system_score_gemma":0.00001673568,"threshold_uncertainty_score":0.67888266},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0021677330528122995,"score_gpt":0.17242821115547508,"score_spread":0.1702604781026628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1927800034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982023,0.0036078873,0.008610646,0.000047183767,0.0029316375,0.00021174048,0.000026317735,0.0012477036,0.0012938557],"genre_scores_gemma":[0.9927289,0.00015143826,0.006487431,0.000093902636,0.00039597487,0.000018950772,0.000004832998,0.00009108856,0.000027466225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982447,0.000016660864,0.00034525018,0.0003965732,0.00032019828,0.00067663303],"domain_scores_gemma":[0.9992661,0.00003574802,0.00004626843,0.0003314875,0.000057387402,0.000263028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025108972,0.00043917206,0.0003458934,0.00006281703,0.00015016693,0.000094986775,0.00023365938,0.00033753732,0.000016348577],"category_scores_gemma":[0.000028662176,0.00044563715,0.00021415002,0.0002943109,0.00007865607,0.00018559935,0.000048685164,0.00056186784,0.000022009926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003887225,0.000016169637,0.0002865824,0.00034459893,0.00011441519,0.000026743304,0.0055531547,0.9625079,0.024424283,0.00097261945,0.0057276576,0.000022003354],"study_design_scores_gemma":[0.008045953,0.00053841085,0.011010999,0.0030431082,0.00032287123,0.001876092,0.005690417,0.68961513,0.17377612,0.00096703484,0.09690266,0.008211224],"about_ca_topic_score_codex":0.000027758213,"about_ca_topic_score_gemma":0.0000037765942,"teacher_disagreement_score":0.27289277,"about_ca_system_score_codex":0.00029121726,"about_ca_system_score_gemma":0.000034838587,"threshold_uncertainty_score":0.99979955},"labels":[],"label_agreement":null},{"id":"W1969244958","doi":"10.1109/mpe.2014.2301515","title":"A Road Map to Integration: Perspectives on Smart Grid Development","year":2014,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Smart grid; Grid; Road map; Focus (optics); Computer science; System integration; Data science; Computer security; Engineering; Electrical engineering; Geography; Database; Cartography","score_opus":0.005320555536909971,"score_gpt":0.19581321973944793,"score_spread":0.19049266420253796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969244958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72209764,0.00139653,0.10525414,0.0014532829,0.007664107,0.00014076034,0.000009063347,0.00071858143,0.16126588],"genre_scores_gemma":[0.99702847,0.000055766344,0.00068036205,0.00022932164,0.0002810843,0.000018270326,0.0000042254874,0.000015701205,0.0016867928],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993598,0.000014160046,0.0001228135,0.00019632379,0.0001209593,0.0001859323],"domain_scores_gemma":[0.99969494,0.000020579675,0.000008623224,0.000129383,0.000029514125,0.0001169533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000710784,0.00014341349,0.00012362232,0.00009006917,0.000068876354,0.00003415486,0.00008282474,0.000049986545,0.00006025594],"category_scores_gemma":[0.000013380271,0.000120390454,0.000024076193,0.00009952672,0.000027014856,0.0000606797,0.000015922495,0.00008361038,0.00016768079],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004267371,0.00066838897,0.00070181384,0.0001958216,0.00038390944,0.000073194075,0.07910743,0.10047251,0.07028849,0.058504615,0.3103173,0.3788598],"study_design_scores_gemma":[0.0003769952,0.00022369607,0.010814578,0.00009316214,0.000006825697,0.000013450806,0.00048544203,0.005977463,0.026251376,0.00008862168,0.95519924,0.0004691682],"about_ca_topic_score_codex":0.000014601932,"about_ca_topic_score_gemma":0.0001240911,"teacher_disagreement_score":0.6448819,"about_ca_system_score_codex":0.000032860695,"about_ca_system_score_gemma":0.000008232735,"threshold_uncertainty_score":0.49093804},"labels":[],"label_agreement":null},{"id":"W1974022228","doi":"10.1109/tpwrd.2015.2409887","title":"Intrusion Evaluation of Communication Network Architectures for Power Substations","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Calgary; National Science Foundation","keywords":"Power network; Computer science; Telecommunications network; Electric power system; Intrusion; Electrical engineering; Power (physics); Engineering; Computer network; Reliability engineering","score_opus":0.030045955599424207,"score_gpt":0.26069725644970615,"score_spread":0.23065130085028193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974022228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67395365,0.0005988941,0.32306787,0.000056012082,0.00090544356,0.00040761378,0.000040638042,0.00010613503,0.00086375733],"genre_scores_gemma":[0.9980697,0.000057100213,0.0016833935,0.00003856154,0.000021010594,0.00008287976,0.000010173988,0.000019249026,0.000017902013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990809,0.0000863626,0.0002294201,0.00011909231,0.00032621462,0.00015801615],"domain_scores_gemma":[0.9990896,0.00018221023,0.000039364015,0.00030444653,0.00031448263,0.000069914604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916491,0.000111773734,0.00012279191,0.00012460159,0.00012144714,0.0000134251195,0.00014448591,0.00008686371,0.000063587264],"category_scores_gemma":[0.000014535196,0.00011178874,0.00008221815,0.0002257255,0.00006181992,0.00007216544,0.0000010395121,0.00015958557,0.000013438419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005924171,0.00006019731,0.000008639911,0.000008885749,0.000036517493,1.10614785e-7,0.0018227751,0.9919901,0.00069754274,0.000052991887,0.001561002,0.0037020359],"study_design_scores_gemma":[0.003134279,0.0005595761,0.0023491872,0.00024273196,0.0003417577,0.000014117871,0.0014697947,0.93380314,0.04742568,0.0058583203,0.0041518314,0.0006495851],"about_ca_topic_score_codex":0.000017531662,"about_ca_topic_score_gemma":0.00013025953,"teacher_disagreement_score":0.32411608,"about_ca_system_score_codex":0.00008630472,"about_ca_system_score_gemma":0.00005960421,"threshold_uncertainty_score":0.45586124},"labels":[],"label_agreement":null},{"id":"W1977012208","doi":"10.1007/s12083-015-0331-5","title":"A reliable QoS-aware routing scheme for neighbor area network in smart grid","year":2015,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer network; Computer science; Dynamic Source Routing; Wireless mesh network; Distributed computing; Routing protocol; Hazy Sighted Link State Routing Protocol; Zone Routing Protocol; Static routing; Link-state routing protocol; Network packet; Wireless network; Wireless; Telecommunications","score_opus":0.02833913441444281,"score_gpt":0.2575506896087158,"score_spread":0.229211555194273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977012208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16580276,0.004395247,0.7801918,0.014277576,0.0074556475,0.0070912377,0.00020359861,0.002251813,0.018330319],"genre_scores_gemma":[0.97860396,0.000051436404,0.012412487,0.00052366045,0.005562027,0.0017148934,0.00012359023,0.00007397683,0.0009339647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836046,0.000011253017,0.0003269859,0.00039541535,0.0002742016,0.0006316889],"domain_scores_gemma":[0.99892896,0.00014796619,0.00003706674,0.00033610887,0.00019410186,0.00035576455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006746753,0.00021677034,0.00025703132,0.00009617907,0.00023385535,0.000114041264,0.00024858638,0.00012218165,0.00000357294],"category_scores_gemma":[0.0000606573,0.00022917705,0.00004765096,0.00083755143,0.000028419958,0.00008312358,0.00009180279,0.00024769202,0.000034634944],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031949356,0.000051269264,0.018305408,0.000063866624,0.000029598135,0.0000022417853,0.0011521134,0.68810856,0.00011446168,0.0018189327,0.2826142,0.007707422],"study_design_scores_gemma":[0.00034117507,0.000031619595,0.0014106005,0.0001268234,0.000013771825,0.0000055605396,0.00019446932,0.1932733,0.000044451757,0.0006764826,0.80356205,0.0003197116],"about_ca_topic_score_codex":0.000053887034,"about_ca_topic_score_gemma":0.00015850345,"teacher_disagreement_score":0.8128012,"about_ca_system_score_codex":0.00008121191,"about_ca_system_score_gemma":0.00003502402,"threshold_uncertainty_score":0.9345569},"labels":[],"label_agreement":null},{"id":"W1978964545","doi":"10.1504/ijics.2011.044821","title":"Anomaly detection via statistical learning in industrial communication networks","year":2011,"lang":"en","type":"article","venue":"International Journal of Information and Computer Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Testbed; Construct (python library); Anomaly detection; Probabilistic logic; Process (computing); Network packet; Payload (computing); Cyber-physical system; Algorithm; Artificial intelligence; Data mining; Machine learning; Computer network","score_opus":0.009104696255696097,"score_gpt":0.1997218271768417,"score_spread":0.1906171309211456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978964545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4563731,0.00007744483,0.5419879,0.000024106754,0.0009947668,0.000039862643,0.000001378618,0.000025057378,0.00047638454],"genre_scores_gemma":[0.99836236,0.00020804637,0.0012012712,0.000055675602,0.00016189659,9.4764215e-7,0.000006913607,0.000002517822,3.8861717e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992757,0.00004499267,0.00041102956,0.000029968838,0.00016372702,0.00007459401],"domain_scores_gemma":[0.9996046,0.00004788836,0.00012574534,0.00004071129,0.00013486296,0.00004622463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028350882,0.00006315679,0.00009047031,0.00019190306,0.000029779007,0.000060843908,0.00017127137,0.00007283134,0.00002078515],"category_scores_gemma":[0.000020963453,0.000060908053,0.00002371469,0.00007443961,0.0000308498,0.00091739785,0.000040361905,0.00040762176,0.0000031469049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048377673,0.00016100942,0.05269154,0.000041022227,0.0002025656,0.000042927713,0.023731124,0.089152046,0.000035612156,0.007948144,0.000640246,0.82487],"study_design_scores_gemma":[0.00082637015,0.000103380764,0.05695833,0.000057017904,0.0000049576292,0.00017817701,0.0001500464,0.9376364,0.00018903683,0.0008704604,0.002924158,0.00010166357],"about_ca_topic_score_codex":0.000037963604,"about_ca_topic_score_gemma":0.000034532055,"teacher_disagreement_score":0.84848434,"about_ca_system_score_codex":0.00004683443,"about_ca_system_score_gemma":0.000012750084,"threshold_uncertainty_score":0.24837583},"labels":[],"label_agreement":null},{"id":"W1980021673","doi":"10.1155/2014/974682","title":"Challenges in the Smart Grid Applications: An Overview","year":2014,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":227,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology","keywords":"Smart grid; Computer science; Reliability (semiconductor); Demand response; Grid; Distributed generation; Transmission (telecommunications); Risk analysis (engineering); Distributed computing; Computer security; Reliability engineering; Telecommunications; Electricity; Power (physics); Renewable energy; Electrical engineering; Business","score_opus":0.03870216878795403,"score_gpt":0.28022798799516707,"score_spread":0.24152581920721305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980021673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2880619,0.11847707,0.55042344,0.015948057,0.016695105,0.001154945,0.00027624055,0.0003559445,0.0086072935],"genre_scores_gemma":[0.9858519,0.0118701495,0.00017152798,0.0001552783,0.0018879934,0.000008106265,0.00004462257,0.0000092923965,0.0000011332334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998993,0.00010143245,0.00034907542,0.00008666093,0.0003265111,0.00014333738],"domain_scores_gemma":[0.9993383,0.00019866558,0.00009683974,0.00015600471,0.00015534286,0.000054797056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005190307,0.00009831216,0.00013724837,0.00007472953,0.000029656598,0.00005789229,0.0006245743,0.00007141797,0.000012569651],"category_scores_gemma":[0.00004272267,0.00007176492,0.000072971314,0.0001241984,0.0000334485,0.00017182488,0.00001706814,0.00034920234,0.0000057145157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004894759,0.0002366337,0.002126595,0.00003129098,0.00014486823,0.00006488639,0.000557202,0.90341616,0.00008356463,0.011362324,0.003502757,0.07842475],"study_design_scores_gemma":[0.0013120928,0.00018382433,0.09814346,0.00034253727,0.000046817157,0.0010247469,0.0011449099,0.3619342,0.000117230404,0.0029671828,0.5323542,0.00042883665],"about_ca_topic_score_codex":0.0000027922558,"about_ca_topic_score_gemma":0.000040243165,"teacher_disagreement_score":0.69778997,"about_ca_system_score_codex":0.000047113743,"about_ca_system_score_gemma":0.000008334644,"threshold_uncertainty_score":0.29264888},"labels":[],"label_agreement":null},{"id":"W1981341755","doi":"10.1002/cpe.1679","title":"Secure SCADA framework for the protection of energy control systems","year":2010,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"British Columbia Institute of Technology","keywords":"SCADA; Computer security; The Internet; Computer science; Control (management); Task (project management); Emerging technologies; Wireless sensor network; Risk analysis (engineering); Engineering; Systems engineering; Computer network; Business; World Wide Web; Electrical engineering","score_opus":0.011038655803051132,"score_gpt":0.2665108632302977,"score_spread":0.2554722074272466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981341755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14749673,0.0043830904,0.8459201,0.00023416957,0.0015737283,0.00024940242,0.00000557338,0.00003950647,0.00009774507],"genre_scores_gemma":[0.9985652,0.0004996467,0.00061063975,0.000055906687,0.00012783219,0.00013161312,0.0000011246694,0.0000047165345,0.0000033048163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995348,0.000024488041,0.00014766624,0.000114145696,0.000086814485,0.00009210734],"domain_scores_gemma":[0.9989893,0.00074122596,0.00006986059,0.00007133886,0.00009331741,0.000034957062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013526318,0.00007496688,0.000091156464,0.000020990443,0.00017030834,0.000053240557,0.000060230577,0.000073142626,0.0000021494402],"category_scores_gemma":[0.00024760322,0.0000558812,0.000015496766,0.00008727324,0.00014850576,0.00031331278,0.000008995039,0.00016231756,3.0066488e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030385022,0.00014832523,0.000564274,0.0008981975,0.00017617854,0.000004249388,0.05524402,0.056152213,0.015751097,0.5903542,0.0006102561,0.2797931],"study_design_scores_gemma":[0.00045182786,0.0001221396,0.00040278316,0.00006951785,0.00003908122,0.000071207425,0.0075670527,0.9444527,0.0013536107,0.0022061523,0.04308419,0.00017974681],"about_ca_topic_score_codex":0.000035771955,"about_ca_topic_score_gemma":0.000004390536,"teacher_disagreement_score":0.8883005,"about_ca_system_score_codex":0.0000025254421,"about_ca_system_score_gemma":0.0000129760865,"threshold_uncertainty_score":0.22787692},"labels":[],"label_agreement":null},{"id":"W1983741396","doi":"10.1109/pesmg.2013.6672750","title":"Data traffic analysis of utility smart metering network","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"BC Hydro","keywords":"Metering mode; Automatic meter reading; Computer science; Smart meter; Firewall (physics); Key (lock); Metre; Volume (thermodynamics); Computer network; Real-time computing; Benchmark (surveying); Engineering; Smart grid; Telecommunications; Computer security; Wireless; Electrical engineering","score_opus":0.029475525587201113,"score_gpt":0.23404001213706366,"score_spread":0.20456448654986253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983741396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98875785,0.00027766102,0.0068480875,0.000016650507,0.00023221794,0.00007614868,0.00001929342,0.00015480487,0.0036172639],"genre_scores_gemma":[0.99819696,0.00004412222,0.0016160393,0.000014109049,0.000043933887,0.0000032009686,0.00003917584,0.000005703695,0.00003674239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936026,0.0000146843595,0.0001939961,0.00015060445,0.000101501086,0.00017894442],"domain_scores_gemma":[0.99922466,0.00006223372,0.000014756631,0.000628821,0.000018070194,0.00005146338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016188376,0.00007548856,0.00020146262,0.00007175021,0.000025347132,0.000017604134,0.00035013413,0.000041679363,0.0009856445],"category_scores_gemma":[0.000014644016,0.00006372952,0.000058773956,0.000655851,0.00003307228,0.00019149118,0.00009213041,0.00006963372,0.000030895564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018929753,0.000024680236,0.0072158813,0.000052542975,0.0008385412,9.650201e-7,0.00014006185,0.9684097,0.000475805,0.000049148523,0.010681012,0.012109735],"study_design_scores_gemma":[0.000030853644,0.0000041711764,0.061616305,0.000004029645,0.00013622589,3.0118224e-7,0.0000333417,0.93552727,0.00012090628,0.000008009977,0.0024451378,0.000073428964],"about_ca_topic_score_codex":0.00007858936,"about_ca_topic_score_gemma":0.00040917145,"teacher_disagreement_score":0.05440042,"about_ca_system_score_codex":0.000005526515,"about_ca_system_score_gemma":0.000004013627,"threshold_uncertainty_score":0.9999276},"labels":[],"label_agreement":null},{"id":"W1985653499","doi":"10.1109/tsg.2013.2264537","title":"A Dynamic Secret-Based Encryption Scheme for Smart Grid Wireless Communication","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Army Research Office","keywords":"Retransmission; Encryption; Computer science; Computer network; Network packet; Secure communication; Smart grid; Wireless; Computer security; Distributed computing; Engineering; Telecommunications","score_opus":0.009133177473291204,"score_gpt":0.21791980797424104,"score_spread":0.20878663050094984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985653499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3718292,0.000118214295,0.6225199,0.0005680085,0.0029436625,0.00095874787,0.00013570771,0.00064644223,0.00028008147],"genre_scores_gemma":[0.99293184,0.0002098844,0.0053081964,0.00018215543,0.000117416406,0.000927588,0.000107339256,0.00006821746,0.00014734083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985585,0.00006092051,0.00038399277,0.0003112187,0.00025545823,0.0004298959],"domain_scores_gemma":[0.9987671,0.00023502807,0.000054978114,0.0006549599,0.00013137038,0.00015661288],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018972535,0.0002954284,0.00026357285,0.00022702289,0.00040444676,0.000091102454,0.00034449794,0.00022278356,0.00022162354],"category_scores_gemma":[0.000005781777,0.0003067406,0.0002105691,0.00032997507,0.00011990773,0.00040752025,0.0000017652652,0.00045375247,0.00034585534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040390668,0.001494242,0.00044272302,0.0014670684,0.0005409874,0.0000070253873,0.0022117158,0.6910512,0.23428984,0.0004646108,0.021985997,0.045640726],"study_design_scores_gemma":[0.0012045413,0.00016343931,0.0011482533,0.0001606312,0.000054765485,0.0000095078885,0.0001551819,0.9413467,0.046696566,0.00016578258,0.008340457,0.0005541409],"about_ca_topic_score_codex":0.00015587566,"about_ca_topic_score_gemma":0.00040926546,"teacher_disagreement_score":0.6211027,"about_ca_system_score_codex":0.00017472482,"about_ca_system_score_gemma":0.000047402347,"threshold_uncertainty_score":0.9999385},"labels":[],"label_agreement":null},{"id":"W1986065891","doi":"10.1109/tsg.2010.2052935","title":"Catastrophe Predictors From Ensemble Decision-Tree Learning of Wide-Area Severity Indices","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hydro-Québec","funders":"","keywords":"Ensemble learning; Random forest; Decision tree; Computer science; Machine learning; Artificial intelligence; Randomness; Statistics; Mathematics","score_opus":0.006198518061049997,"score_gpt":0.19847694909893,"score_spread":0.19227843103788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986065891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77628607,0.000042475247,0.21817029,0.00001769611,0.004562911,0.00011297654,0.00016229851,0.00023171055,0.00041359218],"genre_scores_gemma":[0.99788374,0.00009017814,0.0017329092,0.000018878616,0.00014893358,0.000020240766,0.000018266768,0.000033451142,0.00005341926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867433,0.00003327082,0.00034600325,0.0002828689,0.00036756773,0.00029596614],"domain_scores_gemma":[0.99885124,0.0004905464,0.00005637489,0.00038568611,0.000053623386,0.00016255703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014122615,0.00022867629,0.00027222166,0.00017681367,0.0002078954,0.000033037075,0.00029282496,0.00020886971,0.00036802716],"category_scores_gemma":[0.000027791815,0.00021884649,0.00014303181,0.00029712883,0.00013211743,0.00024866272,0.0000028177758,0.0010036896,0.000088384164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029902498,0.00058951543,0.03336678,0.00013157286,0.00043302323,0.00004584704,0.004245864,0.75864553,0.14419585,0.000015061141,0.006398745,0.051633194],"study_design_scores_gemma":[0.0020712416,0.00049305754,0.12732029,0.00036705143,0.00027934802,0.00005016124,0.00080273,0.11103247,0.71387386,0.00023784404,0.042133797,0.0013381358],"about_ca_topic_score_codex":0.0003588913,"about_ca_topic_score_gemma":0.0018827617,"teacher_disagreement_score":0.64761305,"about_ca_system_score_codex":0.000028827308,"about_ca_system_score_gemma":0.0000392125,"threshold_uncertainty_score":0.89243007},"labels":[],"label_agreement":null},{"id":"W1987865675","doi":"10.1109/iccw.2013.6649391","title":"An adaptive QoS scheme for WSN-based smart grid monitoring","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Quality of service; Wireless sensor network; Computer network; Network topology; Reliability (semiconductor); Grid; Distributed computing; Real-time computing; Engineering","score_opus":0.014481002351408515,"score_gpt":0.22598249294801148,"score_spread":0.21150149059660298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987865675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536594,0.00011367908,0.03943527,0.00008241661,0.0026380369,0.0005389449,0.000009002547,0.0006722584,0.002850998],"genre_scores_gemma":[0.9794679,0.000005633685,0.019273495,0.000040322575,0.00093264953,0.00015709837,0.00000539567,0.000023737792,0.0000937416],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935395,0.000007440483,0.00011879676,0.00014990199,0.00010240635,0.0002675136],"domain_scores_gemma":[0.999564,0.000063566906,0.000010327562,0.00019129472,0.000055960118,0.00011484476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000589785,0.00011900531,0.00010479526,0.00004819588,0.00007415326,0.00004534371,0.00015163267,0.00007298684,0.00012269459],"category_scores_gemma":[0.000012638084,0.0001053837,0.000048847367,0.00008423575,0.000024767049,0.00025776104,0.000008242891,0.000098365614,0.0001228223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016612843,0.0005734307,0.06903336,0.00074055797,0.00028567514,0.000016762267,0.0028802967,0.3096055,0.5188545,0.005173815,0.069924705,0.022745237],"study_design_scores_gemma":[0.00046935378,0.00019192764,0.009247607,0.00003603081,0.000007767315,0.0000012070942,0.00043860573,0.7700263,0.21355762,0.00014027503,0.005533138,0.00035013573],"about_ca_topic_score_codex":0.00007214759,"about_ca_topic_score_gemma":0.000013704506,"teacher_disagreement_score":0.46042082,"about_ca_system_score_codex":0.000029287758,"about_ca_system_score_gemma":0.00001353691,"threshold_uncertainty_score":0.42974225},"labels":[],"label_agreement":null},{"id":"W1988086936","doi":"10.1145/2179298.2179327","title":"A testbed for SCADA control system cybersecurity research and pedagogy","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"British Columbia Institute of Technology; U.S. Department of Homeland Security; U.S. Department of Defense","keywords":"SCADA; Testbed; Computer security; Citation; Computer science; Control (management); Command and control; World Wide Web; Engineering; Telecommunications; Artificial intelligence; Electrical engineering","score_opus":0.06657348281976401,"score_gpt":0.30045228802187407,"score_spread":0.23387880520211007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988086936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92654794,0.0011253239,0.013290388,0.000073428695,0.00062522234,0.0009946147,0.000026208012,0.0006023803,0.056714486],"genre_scores_gemma":[0.9988164,0.00001791231,0.00080802676,0.000011130859,0.00010785878,0.000070859955,8.451128e-7,0.000013651351,0.00015333023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999273,0.000025467936,0.00012582683,0.00015347864,0.00012602266,0.00029620447],"domain_scores_gemma":[0.99944544,0.00020214448,0.000007454493,0.00015259266,0.00008949059,0.000102901875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004124266,0.00008196359,0.00013318872,0.00007641429,0.000112320566,0.000021639418,0.00011732126,0.00008247856,0.000024448751],"category_scores_gemma":[0.000044097385,0.000068090645,0.00002483336,0.00009928248,0.00009897711,0.00008233184,0.000021402895,0.00013967048,0.000024097813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067169743,0.00043892398,0.025327219,0.0051033134,0.00040652984,0.00013082595,0.020864107,0.0004248009,0.014335645,0.8919514,0.033645242,0.0067003197],"study_design_scores_gemma":[0.01407164,0.003403338,0.048013803,0.00068238063,0.00014891574,0.00047327217,0.03553535,0.7593374,0.061854966,0.015205111,0.058684982,0.0025887904],"about_ca_topic_score_codex":0.00020844131,"about_ca_topic_score_gemma":0.00021813976,"teacher_disagreement_score":0.87674624,"about_ca_system_score_codex":0.000028496199,"about_ca_system_score_gemma":0.00001832654,"threshold_uncertainty_score":0.2776656},"labels":[],"label_agreement":null},{"id":"W1988210615","doi":"10.1109/epec.2012.6474952","title":"A low latency data transmission scheme for smart grid condition monitoring applications","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Computer network; Base station; Real-time computing; Data transmission; Grid; Low latency (capital markets); Distributed computing; Transmission delay; Transmission (telecommunications); Telecommunications; Engineering","score_opus":0.029751228950865936,"score_gpt":0.2801570306234257,"score_spread":0.2504058016725597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988210615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09816783,0.0017868807,0.8935551,0.0001388105,0.0013569738,0.00088537746,0.00013917279,0.0007086529,0.0032612255],"genre_scores_gemma":[0.977739,0.0002602137,0.020085951,0.000014464291,0.001262447,0.00018874496,0.00029058952,0.000022024004,0.00013659852],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994552,0.000003665057,0.0001200929,0.000119448,0.00008056123,0.00022103285],"domain_scores_gemma":[0.9995508,0.0000412209,0.000010160106,0.000282012,0.000017626053,0.00009818702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011026937,0.00008007642,0.00007185737,0.000032748394,0.00009814985,0.000015847929,0.00019558272,0.0000617728,0.00005072771],"category_scores_gemma":[0.0000046734276,0.00007191808,0.000024583998,0.00009192138,0.000015266312,0.00043269165,0.000020876694,0.000076536766,0.000051764684],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057923906,0.0010281856,0.04005571,0.0030902242,0.00025021148,0.0000020316663,0.0026490935,0.0047721076,0.67389953,0.011360497,0.0706468,0.19218768],"study_design_scores_gemma":[0.00065113395,0.000029279325,0.0099947285,0.000118916985,0.000044789824,0.000011174529,0.00020816264,0.08191774,0.23664314,0.00034255884,0.669516,0.00052233564],"about_ca_topic_score_codex":0.0000040758982,"about_ca_topic_score_gemma":0.0000010644995,"teacher_disagreement_score":0.87957114,"about_ca_system_score_codex":0.000015840054,"about_ca_system_score_gemma":0.0000066614502,"threshold_uncertainty_score":0.29327342},"labels":[],"label_agreement":null},{"id":"W1993088882","doi":"10.1109/smartgridcomm.2013.6687997","title":"Spoofing prevention using received signal strength for ZigBee-based home area networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spoofing attack; RSS; Computer science; Overhead (engineering); Computer network; Signal strength; Real-time computing; Filter (signal processing); Computer security; Embedded system; Wireless sensor network","score_opus":0.018233988126813202,"score_gpt":0.2178825946039975,"score_spread":0.1996486064771843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993088882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54254913,0.00011851347,0.45612687,0.000018719029,0.00033541163,0.00030733243,0.0000018327445,0.00019566636,0.00034655072],"genre_scores_gemma":[0.9895529,0.000012939598,0.009996622,0.000034868488,0.00021603594,0.000040808663,0.000018736739,0.00002254981,0.00010449783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992725,0.000015316373,0.0001798344,0.00014940913,0.00009355693,0.00028936702],"domain_scores_gemma":[0.99963486,0.00010341482,0.00002553347,0.00011949826,0.000044420172,0.00007228288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097154436,0.00012721177,0.0001306724,0.00006139136,0.00009356532,0.00006109614,0.00010140326,0.00009852069,0.0003849098],"category_scores_gemma":[0.000010097293,0.00011665503,0.00008104659,0.00012624513,0.000022158598,0.00019895335,0.000010917771,0.00010851072,0.000011719292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067406045,0.000025585148,0.0004644166,0.000050514816,0.000019346646,6.7390386e-7,0.00004241745,0.98651356,0.005247004,0.00006487373,0.000943024,0.006621846],"study_design_scores_gemma":[0.00035228816,0.000037351132,0.0011784402,0.000069434755,0.00001316738,0.0000012826584,0.000050167266,0.9935124,0.0040302495,0.00023083,0.00034555988,0.00017882191],"about_ca_topic_score_codex":0.0000307411,"about_ca_topic_score_gemma":0.000025511032,"teacher_disagreement_score":0.4470038,"about_ca_system_score_codex":0.000044711847,"about_ca_system_score_gemma":0.000017098562,"threshold_uncertainty_score":0.4757054},"labels":[],"label_agreement":null},{"id":"W1993119086","doi":"10.1109/wcsp.2014.6992067","title":"Lightweight lattice-based homomorphic privacy-preserving aggregation scheme for home area networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Homomorphic encryption; Computer science; Cryptosystem; Smart grid; Scheme (mathematics); Data aggregator; Cryptography; Computer security; Overhead (engineering); Smart meter; Computer network; Security analysis; Smart card; Encryption; Paillier cryptosystem; Hybrid cryptosystem; Wireless sensor network; Engineering","score_opus":0.012035970956931675,"score_gpt":0.2022407373441165,"score_spread":0.1902047663871848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993119086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27456936,0.000511337,0.7195642,0.00050589704,0.0009385722,0.00039706434,0.0000033292206,0.0010346809,0.0024755523],"genre_scores_gemma":[0.9878942,0.00003585169,0.011169995,0.00016148968,0.0004607082,0.000058603157,0.000021376225,0.00004725729,0.00015056925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905604,0.00002115226,0.00021078796,0.00020970736,0.00015118385,0.00035113873],"domain_scores_gemma":[0.9991228,0.00027465686,0.000033151344,0.00040100788,0.000062160725,0.00010624883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022688374,0.00016907888,0.00017897022,0.0000830114,0.00013190639,0.000071786955,0.0003417108,0.00014668939,0.00010784466],"category_scores_gemma":[0.000108267996,0.000149546,0.00008229842,0.00020376024,0.000033708082,0.00018895423,0.000047641788,0.00015651793,0.000034618155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008080425,0.0001793866,0.0128748715,0.0011123116,0.00015514025,0.0000084890025,0.00053340505,0.8991573,0.006686583,0.017230747,0.051818404,0.010162585],"study_design_scores_gemma":[0.00048783503,0.00003860055,0.0012307703,0.00008237634,0.000012684094,0.0000016535888,0.0000075948496,0.96802956,0.0056313365,0.0007504265,0.023487408,0.00023975443],"about_ca_topic_score_codex":0.00000620988,"about_ca_topic_score_gemma":0.000029804862,"teacher_disagreement_score":0.7133248,"about_ca_system_score_codex":0.000032714855,"about_ca_system_score_gemma":0.000012772837,"threshold_uncertainty_score":0.6098309},"labels":[],"label_agreement":null},{"id":"W1994809576","doi":"10.1109/cicsyn.2014.42","title":"Design Issues of Interoperable Communication System for Public Safety - Planning for the Unplanned","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Ontario","funders":"","keywords":"Interoperability; Plan (archaeology); Agency (philosophy); Communications system; Focus (optics); Computer science; Computer security; Telecommunications; Risk analysis (engineering); Business; World Wide Web","score_opus":0.03807222513851223,"score_gpt":0.2528502046434939,"score_spread":0.21477797950498168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994809576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002753414,0.0010375667,0.99359125,0.00039260057,0.0002186109,0.00046092895,0.000004693064,0.0001373305,0.0014035857],"genre_scores_gemma":[0.9904725,0.000043831486,0.009184898,0.000019596242,0.00004769553,0.00007765121,0.0000086402015,0.00001084669,0.00013436371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995772,0.000036922604,0.00015856161,0.00005872619,0.000047979927,0.000120614146],"domain_scores_gemma":[0.9989154,0.00074581866,0.00002346839,0.00024438332,0.00005275331,0.000018200297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888821,0.000059416514,0.00010776385,0.000025407844,0.00014916743,0.00002836735,0.00027096702,0.00003834526,0.0000042410084],"category_scores_gemma":[0.00006386345,0.000037830665,0.000031276628,0.000049241506,0.000026480586,0.00008586629,0.000018791132,0.000043899614,0.0000021111077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002718617,0.000048244456,0.0003790186,0.0018621514,0.0002488985,1.11044024e-7,0.0072283996,0.83542633,0.009103451,0.100131504,0.03709691,0.008203115],"study_design_scores_gemma":[0.00028722308,0.000059452508,0.000061208026,0.00010317694,0.000010940473,0.0000013826264,0.0013010205,0.9325679,0.018064601,0.00009085303,0.04738155,0.00007070602],"about_ca_topic_score_codex":0.000015217216,"about_ca_topic_score_gemma":0.000010053336,"teacher_disagreement_score":0.98771906,"about_ca_system_score_codex":0.000017980012,"about_ca_system_score_gemma":0.000005071148,"threshold_uncertainty_score":0.15426898},"labels":[],"label_agreement":null},{"id":"W1998697412","doi":"10.1109/mcom.2012.6194395","title":"Balance of security strength and energy for a PMU monitoring system in smart grid","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Smart grid; Overhead (engineering); Secure communication; Wireless sensor network; Embedded system; Computer network; Computer security; Distributed computing; Electrical engineering; Encryption; Engineering","score_opus":0.017543503587486818,"score_gpt":0.24835370164568438,"score_spread":0.23081019805819755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998697412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96640146,0.021061575,0.0031342579,0.0001237626,0.0021989606,0.00026797087,0.00011093386,0.0002461174,0.0064549777],"genre_scores_gemma":[0.9959629,0.0013701638,0.0023943817,0.0000030573904,0.00014165335,0.000083967716,0.00001122512,0.000013070476,0.000019533725],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940217,0.000037661925,0.00023213886,0.00007229565,0.00006533849,0.00019042245],"domain_scores_gemma":[0.99902743,0.00020450122,0.000038595976,0.0006336089,0.0000384009,0.000057479556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017151705,0.00009168387,0.00016320482,0.00008380896,0.000058986407,0.0000089571,0.00031533607,0.000057126195,0.0000011325101],"category_scores_gemma":[0.000020634889,0.00009645587,0.00002744953,0.00015884364,0.000069935064,0.00015410391,0.00006577029,0.00011533563,0.0000031288382],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018819429,0.0029692936,0.63183266,0.008805192,0.0005127745,0.000004745807,0.033470713,0.018304631,0.13537197,0.12199482,0.013989361,0.03255564],"study_design_scores_gemma":[0.0032189393,0.00016252883,0.15435158,0.0017728768,0.00012416606,0.00007111881,0.003031479,0.43272823,0.04998786,0.00045092546,0.3527515,0.0013487834],"about_ca_topic_score_codex":0.00004158808,"about_ca_topic_score_gemma":0.00011300731,"teacher_disagreement_score":0.47748107,"about_ca_system_score_codex":0.000045553843,"about_ca_system_score_gemma":0.000007936187,"threshold_uncertainty_score":0.3933356},"labels":[],"label_agreement":null},{"id":"W1999189416","doi":"10.1109/iccitechnology.2013.6579545","title":"Securing modbus transactions using hash-based message authentication codes and stream transmission control protocol","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Modbus; SCADA; Computer science; Computer network; Hash function; Authentication (law); Protocol (science); Message authentication code; Computer security; Embedded system; Communications protocol; Cryptography; Engineering","score_opus":0.008058122962359124,"score_gpt":0.22401294352882892,"score_spread":0.2159548205664698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999189416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16897443,0.000028379343,0.8141347,0.00009211409,0.00004448099,0.016004503,0.000005209842,0.00028953055,0.00042664187],"genre_scores_gemma":[0.9883788,0.0000031411757,0.0034443992,0.00002056262,0.00002126166,0.008080232,0.0000015845083,0.000016769143,0.000033246368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999359,0.000023626528,0.00017104342,0.00014462852,0.00011574337,0.00018594736],"domain_scores_gemma":[0.99969333,0.000044678178,0.000016423686,0.000115376024,0.00002874843,0.00010145291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006241341,0.00012637954,0.00012091898,0.00006913333,0.00013642786,0.00007004335,0.00006320104,0.000080545055,0.00031175747],"category_scores_gemma":[0.0000025826598,0.000106072795,0.00003786,0.00009168171,0.000048613074,0.00026133674,0.000001529279,0.00011687224,0.0000075862135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004275954,0.00021524118,0.00038631383,0.0008534551,0.00007242083,0.0000034463296,0.0017429473,0.5237959,0.44343334,0.00023262891,0.00008785949,0.02913367],"study_design_scores_gemma":[0.0008402518,0.000020145928,0.00093546096,0.000067324305,0.000019587666,0.0000035417843,0.00007880365,0.9486818,0.04872968,0.00009675261,0.0003849509,0.0001417173],"about_ca_topic_score_codex":0.000082627084,"about_ca_topic_score_gemma":0.000014007969,"teacher_disagreement_score":0.81940436,"about_ca_system_score_codex":0.000025790847,"about_ca_system_score_gemma":0.000016077482,"threshold_uncertainty_score":0.4325523},"labels":[],"label_agreement":null},{"id":"W2000165824","doi":"10.1109/isgteurope.2011.6162622","title":"The ideal IED for smart distribution applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Standardization; Software deployment; Modular design; Smart grid; Computer science; Systems engineering; Work (physics); Distributed computing; Software engineering; Engineering; Electrical engineering","score_opus":0.014624534215125414,"score_gpt":0.20825428643530416,"score_spread":0.19362975222017875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000165824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01217172,0.0003111848,0.9576957,0.00012339927,0.0003989558,0.0005307297,0.00003479188,0.00035223205,0.028381279],"genre_scores_gemma":[0.9988806,0.000056326397,0.00047937385,0.00001515254,0.000076705284,0.00024781254,0.000020795984,0.0000048615857,0.00021834856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997535,0.0000019576285,0.0000627731,0.000046914512,0.00003222365,0.00010267619],"domain_scores_gemma":[0.99980724,0.00004408154,0.0000050636754,0.00010396194,0.000016112115,0.00002357167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059897615,0.000034568893,0.000027113776,0.0000042824145,0.0001397508,0.000010194569,0.00008759881,0.000023643945,0.000013373833],"category_scores_gemma":[0.0000068840363,0.000022599545,0.000022997749,0.000047603025,0.000027154045,0.000028529063,0.0000067547176,0.000032272736,0.000036074278],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029647812,0.00006358512,0.001343507,0.000073154326,0.000058724272,4.046062e-7,0.0007076499,0.00050082034,0.0023142165,0.85677665,0.10018136,0.037950244],"study_design_scores_gemma":[0.00016121904,0.000020834052,0.009806095,0.0000029127027,0.000010232827,0.0000023875643,0.0001562491,0.018237546,0.015925309,0.009662669,0.9458823,0.00013222202],"about_ca_topic_score_codex":0.000012169152,"about_ca_topic_score_gemma":0.00005356127,"teacher_disagreement_score":0.9867089,"about_ca_system_score_codex":0.000009978033,"about_ca_system_score_gemma":0.000003807713,"threshold_uncertainty_score":0.107486434},"labels":[],"label_agreement":null},{"id":"W2000511619","doi":"10.1007/s11227-013-1027-3","title":"Advanced technologies and applications for Highly-Reliable Cyber Physical System (HRCPS)","year":2013,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Cyber-physical system; Computer security; Operating system","score_opus":0.004769148502051667,"score_gpt":0.19799067947849702,"score_spread":0.19322153097644534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000511619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623508,0.0011608296,0.03545979,0.00017479774,0.00016822934,0.0002779187,0.0000011024323,0.0001530341,0.00025352542],"genre_scores_gemma":[0.9959277,0.00007606688,0.003711331,0.0000076993965,0.00024858926,0.000012127257,2.005276e-7,0.0000105180125,0.0000057638763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995201,0.0000088488505,0.000186671,0.00004979483,0.00008368313,0.00015089597],"domain_scores_gemma":[0.9995416,0.00021079724,0.000040315957,0.000104841594,0.000076404554,0.00002608174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017862885,0.0000761439,0.00014515477,0.000042967255,0.00014391042,0.000029104645,0.00020232733,0.00003619976,5.938678e-7],"category_scores_gemma":[0.00001589717,0.000047496844,0.000040007784,0.000100795216,0.00005735704,0.00017436653,0.00003634448,0.00017324807,0.0000060237453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002864386,0.000110731125,0.0007340692,0.0012079953,0.00022867211,0.0000037527443,0.0053607784,0.45644066,0.19073293,0.011557455,0.003685139,0.32990918],"study_design_scores_gemma":[0.0012619168,0.00026650925,0.0017538817,0.000748925,0.00016050978,0.00061716983,0.03535298,0.87841845,0.057734676,0.00483948,0.018294008,0.0005515074],"about_ca_topic_score_codex":0.00000496765,"about_ca_topic_score_gemma":5.6970964e-7,"teacher_disagreement_score":0.42197776,"about_ca_system_score_codex":0.000025852838,"about_ca_system_score_gemma":0.000006286726,"threshold_uncertainty_score":0.1936865},"labels":[],"label_agreement":null},{"id":"W2001069124","doi":"10.1109/mwc.2013.6549287","title":"Challenges and research opportunities in wireless communication networks for smart grid","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Quality of service; Redundancy (engineering); Wireless mesh network; Wireless network; Smart grid; Wireless; Provisioning; Distributed computing; Wireless WAN; Key distribution in wireless sensor networks; Telecommunications","score_opus":0.17776893337479177,"score_gpt":0.33103773886075893,"score_spread":0.15326880548596716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001069124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9130449,0.055858072,0.001629474,0.009208581,0.0005568339,0.0021006456,0.000027735012,0.00046751276,0.01710623],"genre_scores_gemma":[0.85483474,0.14327447,0.00061154104,0.000033435033,0.000057474084,0.0010568296,0.000045765526,0.000030197167,0.000055578752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868214,0.00029279012,0.00032178327,0.00017173307,0.00015224575,0.00037931907],"domain_scores_gemma":[0.99676245,0.0012630479,0.0000357998,0.0016303734,0.00020285713,0.00010546464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078790216,0.00014521184,0.0002139784,0.00022124509,0.00040268083,0.000089189365,0.0011009324,0.00016031701,0.0000060165157],"category_scores_gemma":[0.000027005273,0.00015550006,0.000035775618,0.00020972127,0.0005312748,0.00036350195,0.0002315409,0.0006022752,0.0000118018925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003647985,0.0007448887,0.0024792908,0.00088189956,0.00017827551,0.0000033441943,0.024668315,0.011009055,0.0037891169,0.24989115,0.01793026,0.68838793],"study_design_scores_gemma":[0.00071017304,0.000065746455,0.021542467,0.0004953425,0.000013231996,0.000012717882,0.00829512,0.9401233,0.0005208858,0.0048172087,0.022877146,0.0005266455],"about_ca_topic_score_codex":0.00020806328,"about_ca_topic_score_gemma":0.0021537077,"teacher_disagreement_score":0.9291143,"about_ca_system_score_codex":0.000062807114,"about_ca_system_score_gemma":0.000028171788,"threshold_uncertainty_score":0.63411087},"labels":[],"label_agreement":null},{"id":"W2002188528","doi":"10.1109/mpe.2014.2301552","title":"Forewarned Is Forearmed: An Automated System for Remedial Action Schemes","year":2014,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"BC Hydro","keywords":"Blackout; Remedial action; Electric power system; Safeguard; Remedial education; Power-system protection; Reliability engineering; System integrity; Computer science; Action (physics); Maintenance engineering; Engineering; Risk analysis (engineering); Control engineering; Power (physics); Law; Business; Environmental remediation","score_opus":0.010752353285259066,"score_gpt":0.24207159075572682,"score_spread":0.23131923747046776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002188528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89354897,0.00021791887,0.088877395,0.000115107316,0.005370327,0.00014922413,0.000027170898,0.002659159,0.009034718],"genre_scores_gemma":[0.99852943,0.0000499597,0.00058197376,0.000071849885,0.00044950267,0.000033025102,0.000025959504,0.000029701474,0.00022860366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926573,0.00001549972,0.00016082368,0.0001935503,0.00011073953,0.00025363133],"domain_scores_gemma":[0.999603,0.000037318234,0.000022647557,0.00017322386,0.000042509924,0.00012129874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104362414,0.00014763688,0.00017341308,0.00007315887,0.00008861932,0.0000378774,0.000085698535,0.00012125988,0.000010580872],"category_scores_gemma":[0.0000126826635,0.00013142829,0.000046854766,0.0000889721,0.000038826598,0.00018401911,0.0000070628016,0.00005791983,0.000010142151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078052725,0.00028438194,0.0016116465,0.0021842222,0.0005146089,0.000022871656,0.0041041016,0.033696864,0.66123533,0.026451437,0.18441175,0.08470226],"study_design_scores_gemma":[0.0009424782,0.00022008923,0.00095880113,0.000052964842,0.000028155066,0.000028943181,0.00009039774,0.69291955,0.09457451,0.00017114275,0.20969798,0.00031496893],"about_ca_topic_score_codex":0.000016034652,"about_ca_topic_score_gemma":0.00014116964,"teacher_disagreement_score":0.6592227,"about_ca_system_score_codex":0.000024219087,"about_ca_system_score_gemma":0.000007408324,"threshold_uncertainty_score":0.535949},"labels":[],"label_agreement":null},{"id":"W2003461391","doi":"10.1109/smartgridcomm.2014.7007670","title":"Cost-efficient data aggregation point placement for advanced metering infrastructure","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metering mode; Computer science; Data aggregator; Wireless; Point (geometry); Optimization problem; Smart meter; Integer (computer science); Range (aeronautics); Selection (genetic algorithm); Mathematical optimization; Distributed computing; Smart grid; Computer network; Wireless sensor network; Engineering; Algorithm; Mathematics; Telecommunications; Electrical engineering","score_opus":0.022575619144610395,"score_gpt":0.26253967407697587,"score_spread":0.23996405493236547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003461391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12948209,0.000070066184,0.8676356,0.000061048835,0.00085617066,0.00046594805,0.000026234866,0.00020472886,0.0011981224],"genre_scores_gemma":[0.97557503,0.000021529484,0.023992706,0.00007476925,0.00013588581,0.000046036912,0.000093229704,0.000016184675,0.0000446213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938464,0.000007701281,0.00013779297,0.00018030414,0.00010665303,0.00018289186],"domain_scores_gemma":[0.99947006,0.00006221191,0.000018197108,0.0003779808,0.000020774394,0.000050810177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001574796,0.0000967977,0.00009411388,0.000037578797,0.00005896451,0.000027248385,0.00023122039,0.00003978913,0.000043750337],"category_scores_gemma":[0.00006765508,0.00008239353,0.000019808402,0.000064264976,0.00001460933,0.00011566773,0.00007906278,0.0000652907,0.000009512103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010446026,0.0000065775444,0.000014165176,0.000060894774,0.000009912857,1.5367264e-7,0.000172095,0.9619405,0.004994405,0.0005368792,0.0021055683,0.03014835],"study_design_scores_gemma":[0.00039453304,0.000030836687,0.00015848495,0.00002392535,0.0000070520136,0.0000022374545,0.00011392363,0.9359933,0.018080508,0.000116420095,0.04495014,0.00012862643],"about_ca_topic_score_codex":0.0000016547907,"about_ca_topic_score_gemma":0.0000122492975,"teacher_disagreement_score":0.84609294,"about_ca_system_score_codex":0.00003802058,"about_ca_system_score_gemma":0.0000057056554,"threshold_uncertainty_score":0.33599108},"labels":[],"label_agreement":null},{"id":"W2005650858","doi":"10.1109/hase.2014.12","title":"A Model-Based Intrusion Detection System for Smart Meters","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Smart meter; Smart grid; Intrusion detection system; Overhead (engineering); Embedded system; Electricity meter; Real-time computing; Computer security; Power (physics); Operating system; Engineering; Electrical engineering","score_opus":0.008492814458924414,"score_gpt":0.1905162032047915,"score_spread":0.1820233887458671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005650858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15824713,0.000010748326,0.83904606,0.000014920372,0.0005425662,0.00012658721,0.0000011405957,0.0003832732,0.0016275705],"genre_scores_gemma":[0.99446267,9.103933e-7,0.0053443043,0.000035166653,0.00007212225,0.000038745446,0.0000018179271,0.000012343209,0.00003191335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996137,0.00000923985,0.00009266996,0.00009356664,0.000065109176,0.00012570636],"domain_scores_gemma":[0.9997726,0.000047041965,0.000008637705,0.0001120123,0.000018380217,0.00004129367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012466774,0.00006895844,0.00007916933,0.000051734685,0.00006045347,0.000015327158,0.000059611546,0.00005593436,0.0000027221229],"category_scores_gemma":[0.00001559384,0.00005838893,0.000045209472,0.00005982883,0.000009959981,0.000049253264,0.0000057110256,0.00004338711,0.000013592647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001986608,0.0000071155546,0.0000253064,0.00034955758,0.000008384902,1.6304209e-7,0.000070989096,0.9173157,0.072027385,0.0008128666,0.0002830593,0.009079601],"study_design_scores_gemma":[0.00018254571,0.000027580478,0.000017985285,0.00001726186,0.000006262839,9.102476e-7,0.00002070136,0.85203266,0.1464432,0.000046686822,0.0011314075,0.00007282362],"about_ca_topic_score_codex":0.0000082081115,"about_ca_topic_score_gemma":0.000052422198,"teacher_disagreement_score":0.83621556,"about_ca_system_score_codex":0.00004306776,"about_ca_system_score_gemma":0.0000042100796,"threshold_uncertainty_score":0.23810314},"labels":[],"label_agreement":null},{"id":"W2007581300","doi":"10.1109/worldcis.2014.7028173","title":"A critical review of attack scenarios on the IAEA Technical Guidance NSS 17 Computer Security at Nuclear Facilities","year":2014,"lang":"en","type":"review","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Computer security; Computer science; Collusion; Critical infrastructure; Nuclear power; Industrial control system; Fault tree analysis; Risk analysis (engineering); Control (management); Engineering; Business; Reliability engineering","score_opus":0.03879906872020696,"score_gpt":0.2997439633758698,"score_spread":0.26094489465566284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007581300","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000043213486,0.98490375,0.00020794877,0.00029306326,0.00049324083,0.00077310944,0.000097700344,0.00027572102,0.012951136],"genre_scores_gemma":[0.00003610832,0.99826455,0.00026747005,0.00067351316,0.0003230699,0.000057924597,0.000015717102,0.000055777597,0.00030589738],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99736613,0.00027353893,0.0009904318,0.0004440116,0.00048701162,0.00043887933],"domain_scores_gemma":[0.9973251,0.0012872802,0.000099968405,0.001060022,0.00009683824,0.0001307641],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006931906,0.00054142345,0.0019954627,0.00006517494,0.0001291826,0.000038501053,0.00094602583,0.00043107747,0.0012939699],"category_scores_gemma":[0.000404402,0.00032029455,0.00077852793,0.00023609363,0.00047890018,0.000062107254,0.00033061227,0.00093166507,0.0006389779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028392512,0.000061053484,3.891309e-7,0.4469919,0.00007953168,0.000010917548,0.00007943567,0.000044848326,3.2506983e-7,0.011643537,0.5073583,0.03372693],"study_design_scores_gemma":[0.00003155616,0.000054252374,8.517621e-7,0.110284835,0.00011436976,0.0000623469,0.0000033399665,0.00097393035,8.6891305e-7,0.000021875798,0.88811463,0.00033715434],"about_ca_topic_score_codex":0.000005095826,"about_ca_topic_score_gemma":0.000012292831,"teacher_disagreement_score":0.38075632,"about_ca_system_score_codex":0.00014049676,"about_ca_system_score_gemma":0.0000423385,"threshold_uncertainty_score":0.9999249},"labels":[],"label_agreement":null},{"id":"W2009785636","doi":"10.1109/isgteurope.2010.5638949","title":"Cyber security for Smart Grid: A human-automation interaction framework","year":2010,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"SCADA; Smart grid; Automation; Computer science; Computer security; Grid; Critical infrastructure; Cyber-attack; Embedded system; Distributed computing; Systems engineering; Engineering","score_opus":0.008252678573363847,"score_gpt":0.2640752815449976,"score_spread":0.25582260297163373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009785636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95941967,0.000018782259,0.026138244,0.00012366164,0.004812885,0.0002502472,0.0000073618176,0.0006318543,0.0085973],"genre_scores_gemma":[0.99571276,0.000005548759,0.0033220826,0.00006901234,0.0007175524,0.00004923079,0.000019485542,0.000015811103,0.00008852755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946505,0.0000062488753,0.0001479174,0.00012532921,0.000089152425,0.00016631541],"domain_scores_gemma":[0.99961966,0.00010011799,0.000018446233,0.00017310183,0.000036840916,0.000051850133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011126308,0.0000974203,0.00009008873,0.000057327972,0.000105586805,0.00004983936,0.00009725425,0.00016130054,0.00032903088],"category_scores_gemma":[0.00006193329,0.00008992957,0.00005727557,0.00008735583,0.000023900033,0.00023690173,0.000013816514,0.00034575473,0.000076128985],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008262532,0.0005370597,0.0076983883,0.001040748,0.00025204197,0.000009864514,0.013447588,0.00898484,0.27849862,0.38000083,0.29601055,0.013436817],"study_design_scores_gemma":[0.00090191595,0.00014923348,0.020202994,0.00014443019,0.000053624273,0.000047808477,0.00062278705,0.40907827,0.13686241,0.06545095,0.36539432,0.0010912302],"about_ca_topic_score_codex":0.000025826648,"about_ca_topic_score_gemma":0.0002860071,"teacher_disagreement_score":0.40009344,"about_ca_system_score_codex":0.000017930357,"about_ca_system_score_gemma":0.0000050753533,"threshold_uncertainty_score":0.36672214},"labels":[],"label_agreement":null},{"id":"W2014225607","doi":"10.1155/2013/475818","title":"Cyber-Physical Systems: Computation, Communication, and Control","year":2013,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Cyber-physical system; Computation; Distributed computing; Control (management); Human–computer interaction; Computer security; Computer network; Artificial intelligence; Algorithm; Operating system","score_opus":0.0039986804502767075,"score_gpt":0.2091952903410141,"score_spread":0.2051966098907374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014225607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.647292,0.002159589,0.34765956,0.0008505931,0.0015377781,0.00015934343,0.00005835214,0.00006268293,0.00022008705],"genre_scores_gemma":[0.9988504,0.0002955918,0.0002048085,0.000050914114,0.00054353115,0.0000035873277,0.000035650297,0.000010001343,0.0000054862426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991449,0.000058408827,0.00035620408,0.000062372514,0.00025422146,0.00012387293],"domain_scores_gemma":[0.99877036,0.00026254373,0.00013809647,0.00007971169,0.0006513132,0.00009797319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108587235,0.00010060734,0.00018214341,0.00006153458,0.00004726292,0.0001551842,0.0002562291,0.000059767135,0.000012376009],"category_scores_gemma":[0.000044815966,0.00008735027,0.0000567323,0.000077816716,0.00007426105,0.00025255725,0.000022480699,0.0002694908,0.0000094402485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000138527985,0.0000387663,0.002049407,0.000006789354,0.0002217603,0.000013512074,0.00013721899,0.9855511,0.00022548488,0.0003914909,0.010385796,0.0009648264],"study_design_scores_gemma":[0.0007965466,0.000029535046,0.019603105,0.00009586269,0.00002607146,0.00025561618,0.00023125079,0.976523,0.000038797043,0.00031750213,0.001961659,0.000121082296],"about_ca_topic_score_codex":0.000017790266,"about_ca_topic_score_gemma":0.0000014240541,"teacher_disagreement_score":0.35155842,"about_ca_system_score_codex":0.000055397133,"about_ca_system_score_gemma":0.000010304313,"threshold_uncertainty_score":0.35620406},"labels":[],"label_agreement":null},{"id":"W2017179140","doi":"10.1109/smartgridcomm.2011.6102320","title":"Specification-based Intrusion Detection for home area networks in smart grids","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Intrusion detection system; Smart grid; Resilience (materials science); Computer network; Grid; Computer security; Home automation; Event (particle physics); Access control; Embedded system; Telecommunications; Engineering","score_opus":0.02071308033253218,"score_gpt":0.18754137937110432,"score_spread":0.16682829903857213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017179140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3955443,0.00009451689,0.59959954,0.000019015677,0.001107844,0.00026621306,0.0000015417847,0.00023392991,0.0031331049],"genre_scores_gemma":[0.99858195,0.000034911565,0.0011414221,0.000028203911,0.00011516236,0.000049280028,0.000006810188,0.00001202261,0.000030259034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995249,0.000007671379,0.00014130956,0.000115831936,0.00005235437,0.00015793311],"domain_scores_gemma":[0.9997513,0.00004842699,0.000011926891,0.00013140813,0.000019727566,0.000037202724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010354464,0.00007723508,0.00007740531,0.00008995737,0.000038724418,0.000009800869,0.00008138017,0.00008464087,0.00010675301],"category_scores_gemma":[0.000011370273,0.00007065053,0.000032137094,0.00017716437,0.000018520373,0.00007233019,0.0000063896546,0.00009235449,0.00001297616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046091643,0.00048674532,0.058866482,0.00036403743,0.000052355168,0.000014718296,0.0028236124,0.77718836,0.023023946,0.0048111714,0.0050452994,0.12686233],"study_design_scores_gemma":[0.00033160788,0.000045506786,0.05888958,0.000018392846,0.0000033786102,0.0000010627163,0.000053670003,0.9171417,0.020907305,0.00029810902,0.0021569342,0.00015276506],"about_ca_topic_score_codex":0.000038887534,"about_ca_topic_score_gemma":0.000531997,"teacher_disagreement_score":0.60303766,"about_ca_system_score_codex":0.000040169973,"about_ca_system_score_gemma":0.0000056150293,"threshold_uncertainty_score":0.2881045},"labels":[],"label_agreement":null},{"id":"W2017694201","doi":"10.1109/mpae.2004.1338120","title":"Power system security assessment","year":2004,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":395,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Electric power system; Reliability engineering; Robustness (evolution); Computer science; Reliability (semiconductor); Risk analysis (engineering); Computer security; Power system simulation; Security analysis; Transient (computer programming); Engineering; Power (physics)","score_opus":0.0035561830431089653,"score_gpt":0.19936719768491995,"score_spread":0.195811014641811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017694201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6803467,0.0019266483,0.019931694,0.00021879365,0.004810936,0.00007542168,0.000023914221,0.00088938157,0.2917765],"genre_scores_gemma":[0.99919313,0.00015319014,0.0001909766,0.00008574069,0.00011802572,0.00001118431,0.000004207606,0.000023613095,0.0002199548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913234,0.000013820537,0.00018235865,0.00020553022,0.00017633697,0.00028960448],"domain_scores_gemma":[0.9995838,0.000015900141,0.000016875043,0.00021201061,0.0000279186,0.00014352001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077554694,0.00018157535,0.00018788481,0.0000685583,0.000078018056,0.00004401931,0.00011143173,0.000099717305,0.00005245385],"category_scores_gemma":[0.000002473432,0.00016221832,0.0000514785,0.00013619024,0.000056045843,0.0001318837,0.000024699722,0.00014526714,0.00004616265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011070698,0.0007364802,0.0016728797,0.0012528326,0.00065308856,0.0012188808,0.007722565,0.3657292,0.068476,0.49752915,0.052333355,0.0025648512],"study_design_scores_gemma":[0.006715583,0.0008699513,0.02925952,0.0008365764,0.00012856527,0.0011304753,0.0015718921,0.030783791,0.033324778,0.005917367,0.88605374,0.0034077906],"about_ca_topic_score_codex":0.000032402542,"about_ca_topic_score_gemma":0.000041639607,"teacher_disagreement_score":0.8337203,"about_ca_system_score_codex":0.000084607294,"about_ca_system_score_gemma":0.000020384101,"threshold_uncertainty_score":0.6615071},"labels":[],"label_agreement":null},{"id":"W2019683160","doi":"10.1109/tsg.2014.2303857","title":"Towards Smart Integration of Distributed Energy Resources Using Distributed Network Protocol Over Ethernet","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Smart grid; Computer science; Power-line communication; Ethernet; Communications protocol; Embedded system; Computer network; Distributed computing; Distributed generation; Network architecture; Engineering; Power (physics)","score_opus":0.013680732255391145,"score_gpt":0.24010087042434813,"score_spread":0.22642013816895698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019683160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055544462,0.000011783653,0.9390041,0.000031139083,0.0013839178,0.0030959733,0.00032353337,0.00028746415,0.00031762393],"genre_scores_gemma":[0.99527854,0.000011091387,0.0008510693,0.000046894937,0.00051719,0.0031457376,0.00006930047,0.000049209422,0.000030949766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983703,0.00013319349,0.0004792935,0.00028217124,0.0003445822,0.00039044462],"domain_scores_gemma":[0.9991969,0.00011361127,0.000091814814,0.00038508105,0.00008587213,0.00012670722],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024791824,0.00029257152,0.0003386278,0.00011793041,0.00019452898,0.000045893394,0.00022796207,0.00022462753,0.00012294053],"category_scores_gemma":[0.000011880862,0.0002670021,0.00017457218,0.00059408153,0.00012650188,0.00017924789,0.0000028156237,0.00034790573,0.000008337623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028492312,0.00015382626,0.00015252047,0.000100287114,0.00009397776,0.0000019461431,0.000244458,0.9847134,0.007886605,0.00017253247,0.0019851474,0.0042104274],"study_design_scores_gemma":[0.0013782551,0.00048097846,0.0034819546,0.00038421206,0.00010596924,0.000015638052,0.00008250409,0.7413466,0.10575255,0.00030950073,0.14595753,0.00070429716],"about_ca_topic_score_codex":0.00040162317,"about_ca_topic_score_gemma":0.00046303376,"teacher_disagreement_score":0.9397341,"about_ca_system_score_codex":0.00011258828,"about_ca_system_score_gemma":0.00003211703,"threshold_uncertainty_score":0.99997824},"labels":[],"label_agreement":null},{"id":"W2022180231","doi":"10.1109/smartgridcomm.2014.7007772","title":"A game-theoretic control approach to mitigate cyber switching attacks in Smart Grid systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Division of Electrical, Communications and Cyber Systems; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Smart grid; Computer science; Game theory; Control (management); Computer security; Grid; Cyber-physical system; Engineering; Electrical engineering; Operating system; Artificial intelligence; Mathematics","score_opus":0.004488914508948998,"score_gpt":0.18521309597945043,"score_spread":0.18072418147050143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022180231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7355491,0.0002187735,0.18434063,0.00008951935,0.0013799783,0.0005845413,0.000005215247,0.00039751062,0.07743472],"genre_scores_gemma":[0.99900985,0.000007970106,0.00025355924,0.00019319104,0.000285972,0.00008000288,0.0000036942947,0.00003071052,0.0001350731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987735,0.00007781752,0.00028880464,0.00025309657,0.00018547123,0.00042127832],"domain_scores_gemma":[0.9993989,0.0001154492,0.000017219354,0.0002820921,0.0000206508,0.0001656926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046461722,0.00018610262,0.000288874,0.00013593277,0.000037050144,0.00007593632,0.00022558887,0.00010316766,0.000012836237],"category_scores_gemma":[0.00004789681,0.00015685965,0.00005347394,0.00021957706,0.000028787848,0.00009942738,0.000027126232,0.00024338727,0.00021725925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027141676,0.00008920715,0.009113085,0.0005469658,0.00004828666,0.000010340624,0.002865522,0.9459402,0.0038200999,0.034138773,0.002477678,0.00092270225],"study_design_scores_gemma":[0.0007851731,0.000033907814,0.0042504496,0.00014336067,0.000011063002,0.000024151113,0.00023055037,0.98432904,0.00037883082,0.00017216525,0.009272476,0.00036884617],"about_ca_topic_score_codex":0.00012220502,"about_ca_topic_score_gemma":0.00005517802,"teacher_disagreement_score":0.2634607,"about_ca_system_score_codex":0.000050000504,"about_ca_system_score_gemma":0.000007907622,"threshold_uncertainty_score":0.63965505},"labels":[],"label_agreement":null},{"id":"W2027307583","doi":"10.1109/tii.2013.2258930","title":"A Survey of Networking Challenges and Routing Protocols in Smart Grids","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Smart grid; Reliability (semiconductor); Computer network; Routing protocol; Routing (electronic design automation); Policy-based routing; Key (lock); Distributed computing; Grid; Link-state routing protocol; Power (physics); Engineering; Computer security","score_opus":0.0843335482446,"score_gpt":0.2590360510968094,"score_spread":0.1747025028522094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027307583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614304,0.00016325462,0.025360292,0.000057322435,0.0017822604,0.008451992,0.00003117259,0.00020651949,0.0025168122],"genre_scores_gemma":[0.9989462,0.00020952402,0.00011277084,0.000009395913,0.00005837137,0.0006462294,0.0000012561565,0.000010297486,0.0000059612807],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902815,0.000043321474,0.00052367593,0.000055867848,0.00013824864,0.00021073157],"domain_scores_gemma":[0.9995017,0.00020778675,0.000060512408,0.00013319001,0.000038371192,0.000058411697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039710297,0.00012299078,0.0002121575,0.00014297862,0.000047520727,0.000032479853,0.00009876954,0.00019617057,0.000013581033],"category_scores_gemma":[0.000014484857,0.0001168245,0.00002630769,0.00023699724,0.000049957664,0.00033298673,0.0000014924842,0.00043913725,0.000008563697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007560315,0.00017793388,0.0029216895,0.00050384225,0.000102214195,0.0000014173105,0.015391715,0.45302567,0.000118372474,0.000060665883,0.00040967204,0.5272112],"study_design_scores_gemma":[0.003617311,0.0004601034,0.024099613,0.001664533,0.000024933615,0.000014514589,0.0032261435,0.95552945,0.009261918,0.00007302467,0.0012605229,0.0007679057],"about_ca_topic_score_codex":0.00023471234,"about_ca_topic_score_gemma":0.00031682334,"teacher_disagreement_score":0.5264433,"about_ca_system_score_codex":0.000032032654,"about_ca_system_score_gemma":0.000025649419,"threshold_uncertainty_score":0.4763965},"labels":[],"label_agreement":null},{"id":"W2028858284","doi":"10.2316/journal.201.2009.3.201-2018","title":"RADIAL CONTROL DESIGN FOR A CLASS OF NONLINEAR SYSTEMS","year":2009,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Nonlinear system; Control (management); Computer science; Control theory (sociology); Artificial intelligence; Physics","score_opus":0.014290195767920035,"score_gpt":0.21799280288306766,"score_spread":0.20370260711514762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028858284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01807668,0.02657741,0.9494444,0.0000817293,0.0028633785,0.0022610836,0.00010817867,0.00015964072,0.00042751493],"genre_scores_gemma":[0.9987597,0.00028254246,0.000080941776,0.000043052172,0.0006483141,0.00008481945,0.000003822487,0.000016107471,0.00008073438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987989,0.00007362163,0.0005012247,0.00018125802,0.00015107052,0.00029389275],"domain_scores_gemma":[0.9992167,0.00030776486,0.000078197925,0.00017604585,0.00010014559,0.00012118725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042273742,0.00018708027,0.00051456725,0.000089130925,0.000059982653,0.000057788206,0.00014564379,0.00013905771,0.0000018451072],"category_scores_gemma":[0.000056436715,0.00015375407,0.00009995348,0.00007551906,0.000049199574,0.000080017424,0.0000032215405,0.00009745155,0.00000767606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007303414,0.00015069672,0.00033434134,0.0012216397,0.00042748006,0.0000114607265,0.0008686837,0.94127274,0.031047953,0.012058122,0.006348199,0.0055283397],"study_design_scores_gemma":[0.001508822,0.00039597304,0.00008350224,0.00015228648,0.000055662185,0.000019731056,0.00016808335,0.97361845,0.0010144467,0.000036325,0.02275884,0.00018790177],"about_ca_topic_score_codex":0.000024088486,"about_ca_topic_score_gemma":0.0000012741384,"teacher_disagreement_score":0.98068297,"about_ca_system_score_codex":0.000031304786,"about_ca_system_score_gemma":0.000020399117,"threshold_uncertainty_score":0.62699085},"labels":[],"label_agreement":null},{"id":"W2029029052","doi":"10.1109/jsyst.2013.2260942","title":"Efficient Authentication and Key Management Mechanisms for Smart Grid Communications","year":2013,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Key management; Computer network; Public-key cryptography; Password; Mutual authentication; Authentication (law); Computer security; Key (lock); Forward secrecy; Session key; Overhead (engineering); Cryptography; Encryption","score_opus":0.012272553222325483,"score_gpt":0.21731527466607226,"score_spread":0.20504272144374677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029029052","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37448272,0.0031054055,0.60785043,0.00060609635,0.009492803,0.0017715292,0.000018811359,0.00021043843,0.002461764],"genre_scores_gemma":[0.99630874,0.00020375886,0.003013916,0.000013438677,0.00018287404,0.00011706212,0.000002094887,0.000013549564,0.00014457502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934685,0.000032206,0.00023926055,0.00007753777,0.0001326394,0.0001715214],"domain_scores_gemma":[0.99949026,0.0000423144,0.000049316957,0.0002552054,0.00006865655,0.00009426659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028848698,0.00008317224,0.00010156076,0.00008472796,0.00023835445,0.00014414045,0.00021844648,0.000042155127,0.0000068723025],"category_scores_gemma":[0.0000055677083,0.00007179014,0.00003647387,0.00006421768,0.000030015764,0.000062853665,0.000022584383,0.00011837262,0.00004382039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001973813,0.00034851398,0.00036826346,0.0023002804,0.00078566064,0.000014067168,0.008909635,0.7663019,0.06032491,0.08883893,0.063140556,0.008647555],"study_design_scores_gemma":[0.000467969,0.00003971907,0.0015036074,0.00020257606,0.00004523585,0.00021706497,0.0006817051,0.98241687,0.00051749585,0.0012484483,0.012460281,0.00019905172],"about_ca_topic_score_codex":0.000010299529,"about_ca_topic_score_gemma":0.0000025629486,"teacher_disagreement_score":0.62182605,"about_ca_system_score_codex":0.000045768775,"about_ca_system_score_gemma":0.0000051219595,"threshold_uncertainty_score":0.2927517},"labels":[],"label_agreement":null},{"id":"W2032427763","doi":"10.1109/netwks.2008.4763718","title":"Dedicated protection scheme with availability guarantee","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scheme (mathematics); Computer science; Presentation (obstetrics); Computer security; Mathematics","score_opus":0.013806971280225025,"score_gpt":0.1705368003058013,"score_spread":0.15672982902557625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032427763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810677,0.00006190207,0.010467913,0.000053495864,0.000093093804,0.00016463718,5.457189e-7,0.0005295865,0.0075611183],"genre_scores_gemma":[0.99850476,0.000039327966,0.0011277617,0.000018682222,0.00004505577,0.000019339339,0.0000010541235,0.000008118982,0.00023592079],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956137,0.000007208226,0.00008198577,0.000106812164,0.00011320992,0.00012940822],"domain_scores_gemma":[0.99979305,0.000006755529,0.0000067104475,0.00013889102,0.00002499706,0.000029583614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046301975,0.000070387745,0.000067295696,0.000027500506,0.000075520016,0.0000047450126,0.000061503066,0.000048073034,0.00015397517],"category_scores_gemma":[0.000011203112,0.000050611176,0.000015787962,0.00017782974,0.00008402932,0.000092555936,0.000006724277,0.00012451728,0.00014532178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011206885,0.0018894757,0.27206317,0.002117394,0.00084356935,0.00072160445,0.014372425,0.13046013,0.47449207,0.0064352457,0.07393135,0.02155288],"study_design_scores_gemma":[0.0021532658,0.00048973644,0.13836417,0.00010193695,0.000020972295,0.00086501957,0.000256343,0.48166528,0.32521528,0.00028928329,0.0493729,0.0012058114],"about_ca_topic_score_codex":0.000034720986,"about_ca_topic_score_gemma":0.000037274003,"teacher_disagreement_score":0.35120517,"about_ca_system_score_codex":0.00002069873,"about_ca_system_score_gemma":0.000013486525,"threshold_uncertainty_score":0.20638639},"labels":[],"label_agreement":null},{"id":"W2032619850","doi":"10.1109/icpe.2011.5944499","title":"Low voltage distribution substation integration in smart Microgrid","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Microgrid; IEC 61850; Key (lock); Reliability engineering; Computer science; Voltage; Engineering; Control (management); Focus (optics); Monitoring and control; Control engineering; Embedded system; Systems engineering; Electrical engineering; Automation; Computer security","score_opus":0.010448894762725817,"score_gpt":0.19060388118173288,"score_spread":0.18015498641900707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032619850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90328276,0.0000713313,0.09326135,0.0000078448065,0.00037397898,0.00009329968,0.000007761771,0.00015145341,0.002750214],"genre_scores_gemma":[0.9994892,0.00006904784,0.00025690824,0.000012725046,0.000026727736,0.000009491518,0.00009200666,0.0000056606304,0.000038237595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999602,0.00000824738,0.00012689286,0.00008291735,0.00005700722,0.00012290124],"domain_scores_gemma":[0.99985886,0.000010823015,0.00000930592,0.00007659357,0.00001779307,0.000026604517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076988435,0.0000658687,0.000056549725,0.00004245658,0.000019406725,0.000011349913,0.00005440174,0.000053489337,0.0001026747],"category_scores_gemma":[0.000013065339,0.000059758837,0.000019054136,0.00016047589,0.000018918336,0.00018315642,0.0000055862347,0.0000909903,0.0000739543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018908197,0.00095631665,0.14076859,0.0004392265,0.0000586695,0.00010703549,0.030590637,0.006142528,0.47017097,0.047790356,0.021403601,0.28138298],"study_design_scores_gemma":[0.00037290432,0.00004526112,0.27417484,0.00006824562,0.000005435743,0.0000061898077,0.000604427,0.06569844,0.6560983,0.0007954119,0.0018486764,0.00028189455],"about_ca_topic_score_codex":0.000104056584,"about_ca_topic_score_gemma":0.00079208723,"teacher_disagreement_score":0.28110108,"about_ca_system_score_codex":0.0000456676,"about_ca_system_score_gemma":0.000004413458,"threshold_uncertainty_score":0.24368946},"labels":[],"label_agreement":null},{"id":"W2035484653","doi":"10.1109/glocom.2014.7036884","title":"A lightweight lattice-based security and privacy-preserving scheme for smart grid","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"NTRU; Smart grid; Computer science; Homomorphic encryption; Cryptosystem; Computer security; Security analysis; Scheme (mathematics); Cryptography; Overhead (engineering); Encryption; Electricity; Computer network; Engineering","score_opus":0.00805530433189704,"score_gpt":0.20794272460399452,"score_spread":0.19988742027209747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035484653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554368,0.00045475838,0.030118728,0.00091821165,0.0008268722,0.0004158926,0.000013118042,0.00061249046,0.011203094],"genre_scores_gemma":[0.9862441,0.000027401362,0.012921755,0.00023567921,0.00039308667,0.0000414103,0.000009982831,0.000027569797,0.00009904299],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991957,0.000018460112,0.0001616863,0.00020978555,0.000119551274,0.00029481444],"domain_scores_gemma":[0.99927986,0.00023525846,0.000016895978,0.00030649826,0.000037012804,0.00012446761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022505726,0.0001490657,0.00016728714,0.000060254013,0.00011085804,0.000058664245,0.00022814717,0.000098848854,0.00006771846],"category_scores_gemma":[0.00014445286,0.00012864925,0.000052975152,0.00010099477,0.00004207452,0.00015142965,0.000075084405,0.0001278987,0.000017330209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006503194,0.00124143,0.1773432,0.020056665,0.00092220184,0.000045738965,0.01578556,0.014531434,0.11505586,0.16964646,0.46877995,0.015941173],"study_design_scores_gemma":[0.000755169,0.000061098275,0.0019840188,0.000058780992,0.000015420725,0.000003246761,0.00002880032,0.77728486,0.027587239,0.0024554129,0.18945763,0.00030830997],"about_ca_topic_score_codex":0.000014923468,"about_ca_topic_score_gemma":0.000057506946,"teacher_disagreement_score":0.7627534,"about_ca_system_score_codex":0.000015572301,"about_ca_system_score_gemma":0.000011264312,"threshold_uncertainty_score":0.5246164},"labels":[],"label_agreement":null},{"id":"W2041857993","doi":"10.1109/tetc.2013.2281192","title":"A Reliable IEEE 802.15.4 Model for Cyber Physical Power Grid Monitoring Systems","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Network topology; Quality of service; Wireless sensor network; Cyber-physical system; Computer network; Provisioning; Distributed computing; Reliability (semiconductor); Smart grid; Real-time computing; Power (physics)","score_opus":0.017435705863052153,"score_gpt":0.25410989013712026,"score_spread":0.2366741842740681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041857993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4574953,0.00005689047,0.5362694,0.000048797257,0.0053535327,0.0002841211,0.0000040576983,0.00022696295,0.00026091776],"genre_scores_gemma":[0.9956196,0.000024768262,0.003233535,0.000016398988,0.00075202185,0.00007910213,6.2830816e-7,0.0000427088,0.00023125087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871594,0.000017455059,0.00032283034,0.00028248626,0.00019978384,0.0004615242],"domain_scores_gemma":[0.99943745,0.0001349186,0.000033819822,0.00025517613,0.00006033136,0.00007827996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013631089,0.0002121442,0.0002501296,0.00015640634,0.00022611706,0.0000785987,0.0002037036,0.00011066507,0.0000049827004],"category_scores_gemma":[0.000004724182,0.00022469847,0.000114777904,0.00023728747,0.000028017366,0.00020514175,0.0000022415225,0.00045929305,0.000021639553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029763755,0.000058164936,0.000060403152,0.00009687687,0.000020283263,0.0000013287814,0.0015002732,0.9949101,0.0012266197,0.00006379302,0.0002831202,0.0017760401],"study_design_scores_gemma":[0.00027436507,0.000025149018,0.00006853752,0.00021609725,0.0000105028885,0.0000033257309,0.00019596265,0.9927116,0.0058365623,0.00012913543,0.00028133777,0.00024741187],"about_ca_topic_score_codex":0.00009151953,"about_ca_topic_score_gemma":0.000008424669,"teacher_disagreement_score":0.53812426,"about_ca_system_score_codex":0.00012908354,"about_ca_system_score_gemma":0.000017380513,"threshold_uncertainty_score":0.91629374},"labels":[],"label_agreement":null},{"id":"W2042189650","doi":"10.4236/epe.2011.31008","title":"On the Communication Requirements for the Smart Grid","year":2011,"lang":"en","type":"article","venue":"Energy and Power Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Grid; Transformer; Electrical engineering; Computer science; Telecommunications network; Engineering; Telecommunications; Embedded system; Voltage","score_opus":0.017500588896413344,"score_gpt":0.19097593479132477,"score_spread":0.17347534589491143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042189650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59028167,0.02045944,0.32290888,0.0015918665,0.010697207,0.0009835601,0.00003832088,0.0013088359,0.051730208],"genre_scores_gemma":[0.9991441,0.00036362436,0.00018657425,0.00010956578,0.000052685707,0.0000504703,0.0000021970152,0.000013662929,0.0000771585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996724,0.000007652222,0.00007822992,0.00006174247,0.000054642976,0.00012533226],"domain_scores_gemma":[0.9994936,0.00023081354,0.000008772349,0.0002339077,0.000009370321,0.000023562427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013620687,0.0000810375,0.000050449777,0.000021830534,0.00012564813,0.000016040953,0.00017352088,0.000035127716,0.000034558587],"category_scores_gemma":[0.000024095349,0.000048387617,0.00002612492,0.000058064095,0.000024791088,0.000052247906,0.00002305927,0.000078833575,0.0000022118384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005270827,0.000053248783,0.00020541262,0.00007155524,0.0002809826,0.000002621026,0.007923148,0.10773136,0.001799885,0.85445905,0.022471732,0.004948273],"study_design_scores_gemma":[0.00053115364,0.00014501065,0.0069001885,0.00016919483,0.000045393812,0.000012804644,0.00036884117,0.3255614,0.023342542,0.0028031839,0.63955057,0.0005696912],"about_ca_topic_score_codex":0.000016473561,"about_ca_topic_score_gemma":0.000013132454,"teacher_disagreement_score":0.8516559,"about_ca_system_score_codex":0.0000077567,"about_ca_system_score_gemma":0.0000019738807,"threshold_uncertainty_score":0.19731899},"labels":[],"label_agreement":null},{"id":"W2043744415","doi":"10.1145/2602044.2602072","title":"METIS","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Seventh Framework Programme","keywords":"Computer science; Intrusion detection system; Context (archaeology); Computer security; Metis; Intrusion prevention system; Protection mechanism; World Wide Web; Artificial intelligence","score_opus":0.0018708671236555836,"score_gpt":0.14550065404631715,"score_spread":0.14362978692266157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043744415","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2879409,0.00011715358,0.07086278,0.00010696843,0.0007273056,0.000030127203,2.877767e-7,0.00060144917,0.63961303],"genre_scores_gemma":[0.9987705,0.000011258607,0.0006979053,0.000057379497,0.000068572415,9.711707e-7,2.1110063e-7,0.0000029711862,0.00039025513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985963,0.00000254988,0.000025755413,0.000027205017,0.000029411844,0.000055468136],"domain_scores_gemma":[0.999909,0.000012555175,9.3134594e-7,0.00005550144,0.0000024987146,0.000019536812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028035593,0.000021921172,0.000025234394,0.0000102172135,0.000010362576,0.0000050020376,0.000037514226,0.000013743644,0.00016594374],"category_scores_gemma":[0.000005995147,0.000017501901,0.000009341522,0.000030961502,0.0000067206925,0.000022376196,0.000004069382,0.000024260831,0.0002590637],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042342413,0.00005072898,0.0071767513,0.00019501377,0.00006689076,0.000007648975,0.0014831059,0.09387324,0.042744335,0.33603123,0.3135655,0.20480134],"study_design_scores_gemma":[0.000111474896,0.000015957847,0.0066588633,0.0000049387113,0.0000027891767,0.000004971387,0.000022847547,0.21256168,0.037023257,0.0012987835,0.7421452,0.00014922854],"about_ca_topic_score_codex":0.0000028981253,"about_ca_topic_score_gemma":0.000007754621,"teacher_disagreement_score":0.71082956,"about_ca_system_score_codex":0.000002184139,"about_ca_system_score_gemma":4.778856e-7,"threshold_uncertainty_score":0.3329826},"labels":[],"label_agreement":null},{"id":"W2046875988","doi":"10.1007/s11036-014-0495-x","title":"Context-Aware Security Solutions for Cyber-Physical Systems","year":2014,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cyber-physical system; Survivability; Computer security; Context (archaeology); Component (thermodynamics); Computer network","score_opus":0.005920743913293615,"score_gpt":0.20902028716961824,"score_spread":0.20309954325632462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046875988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031095816,0.0021152603,0.96381354,0.00004586084,0.00027464924,0.0012895868,0.000056385194,0.00031518124,0.0009936994],"genre_scores_gemma":[0.99550426,0.00015301871,0.000011586709,0.000028917928,0.0010224772,0.0031895777,0.00003782115,0.00001561101,0.000036716563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993967,0.00001068304,0.00012182216,0.00016680143,0.000051636915,0.00025235215],"domain_scores_gemma":[0.99950135,0.00016379499,0.000019009092,0.00019083494,0.00003531337,0.00008967675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009618569,0.000101760124,0.00014115458,0.000018991901,0.00031150787,0.00004619601,0.00009417842,0.00007474708,0.0000020794637],"category_scores_gemma":[0.000002862979,0.0000963357,0.000047115675,0.00010666444,0.000072258634,0.00004942266,0.000025312509,0.00011465052,0.0000078471485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019165736,0.000057723046,0.00007244969,0.000076737124,0.000018852155,6.193935e-8,0.00009810963,0.904442,0.00006246421,0.0782453,0.0070100366,0.009914352],"study_design_scores_gemma":[0.000110189874,0.000019617357,0.00008132255,0.000011303474,0.000013233822,0.0000021113267,0.00009988677,0.7406815,0.000013688545,0.00069134054,0.2581754,0.00010037316],"about_ca_topic_score_codex":0.000012312387,"about_ca_topic_score_gemma":0.000025132553,"teacher_disagreement_score":0.96440846,"about_ca_system_score_codex":0.0000141440905,"about_ca_system_score_gemma":0.000004494857,"threshold_uncertainty_score":0.3928456},"labels":[],"label_agreement":null},{"id":"W2047981751","doi":"10.1109/milcom.2011.6127461","title":"Provisioning Substation-level authentication in the smart grid networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"SCADA; Computer science; Authentication (law); Smart grid; Reliability (semiconductor); Provisioning; Computer security; Computer network; Embedded system; Engineering","score_opus":0.03949058083545304,"score_gpt":0.20730482599355682,"score_spread":0.16781424515810378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047981751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8694904,0.00017520004,0.106023304,0.00009633312,0.00094095775,0.00030627346,0.0000012461908,0.0001933636,0.02277292],"genre_scores_gemma":[0.99897444,0.000030031419,0.00078263547,0.00006002106,0.000064409454,0.000019662706,0.000005723304,0.00000609938,0.000056986883],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99956936,0.000020079387,0.000118825665,0.00007557767,0.00008452854,0.0001316034],"domain_scores_gemma":[0.99977636,0.000050536077,0.0000100673415,0.00013209303,0.000012856728,0.00001809874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019320188,0.000056151308,0.00004403412,0.000038463975,0.000047287627,0.000018738128,0.00014366822,0.00003719933,0.00007370636],"category_scores_gemma":[0.0000150875485,0.000037594138,0.00001629748,0.00017542494,0.000020952095,0.00011279955,0.000008170851,0.00011256727,0.0000351307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006846239,0.0006770106,0.23535886,0.00026808243,0.00010451493,0.00007086253,0.23696347,0.2269955,0.0018827716,0.21475808,0.027941514,0.05491089],"study_design_scores_gemma":[0.00015510291,0.000016990356,0.5123585,0.000020578605,0.000005781151,0.0000062523686,0.00138357,0.48402423,0.0004588193,0.00057197746,0.0008544368,0.0001437638],"about_ca_topic_score_codex":0.000044164342,"about_ca_topic_score_gemma":0.00022877555,"teacher_disagreement_score":0.27699965,"about_ca_system_score_codex":0.000010339985,"about_ca_system_score_gemma":0.000005139859,"threshold_uncertainty_score":0.15330444},"labels":[],"label_agreement":null},{"id":"W2048949780","doi":"10.1145/2208828.2208849","title":"On the use of teletraffic theory in power distribution systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Queueing theory; Computer science; Heuristics; Computer network","score_opus":0.017678804464364338,"score_gpt":0.19106367903746135,"score_spread":0.173384874573097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048949780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954853,0.00021337406,0.0026398508,0.000015347976,0.00044284912,0.000080915765,0.0000065972636,0.000040658728,0.001075099],"genre_scores_gemma":[0.99989057,0.00001215287,0.0000040439973,0.0000127442045,0.000022518958,0.0000041199837,0.0000022228965,0.000003591746,0.000048009788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996659,0.00003450128,0.00008305828,0.00003104012,0.0000691031,0.0001163987],"domain_scores_gemma":[0.99960434,0.000256982,0.0000074684317,0.00010656376,0.0000062752415,0.000018390823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019370785,0.00004227474,0.000051241954,0.000017319757,0.000012941274,0.0000073333613,0.000050739105,0.000034369074,0.000042357595],"category_scores_gemma":[0.000056444154,0.000024327754,0.000016215941,0.00009274215,0.000023786672,0.00007985238,0.000006244543,0.000075169875,0.0000263791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016716322,0.00011316123,0.004579829,0.0000546547,0.000017155666,0.0000011922191,0.0010853554,0.15628313,0.001164315,0.8243318,0.012029417,0.00032325875],"study_design_scores_gemma":[0.0012791228,0.00030120433,0.4618164,0.0008326392,0.000041874806,0.00004974219,0.0053567714,0.31647733,0.045468114,0.001207693,0.16570781,0.001461297],"about_ca_topic_score_codex":0.000010666793,"about_ca_topic_score_gemma":0.0000031760271,"teacher_disagreement_score":0.8231241,"about_ca_system_score_codex":0.000019072762,"about_ca_system_score_gemma":0.0000017979709,"threshold_uncertainty_score":0.0992057},"labels":[],"label_agreement":null},{"id":"W2050712071","doi":"10.3390/s150407172","title":"Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring","year":2015,"lang":"en","type":"review","venue":"Sensors","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National University of Sciences and Technology; Umm Al-Qura University","keywords":"Cyber-physical system; Cloud computing; Computer science; Wireless sensor network; Provisioning; Condition monitoring; Network architecture; Systems engineering; Engineering; Computer network","score_opus":0.07446574327178995,"score_gpt":0.32361078015616696,"score_spread":0.249145036884377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050712071","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02671868,0.968339,0.000026105781,0.000003171758,0.0018487471,0.002354549,0.00004232577,0.0003137778,0.00035361832],"genre_scores_gemma":[0.05863608,0.93424225,0.000040045623,0.0000021226672,0.00603203,0.0006409605,0.000043149237,0.00019673913,0.00016661518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982761,0.00011096807,0.00038745586,0.00045215568,0.00032177224,0.0004515547],"domain_scores_gemma":[0.9988594,0.0003084347,0.00014345095,0.00042748562,0.000117216194,0.00014398426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032252065,0.00051178917,0.0013674921,0.00009120623,0.00012841422,0.00005954486,0.00016565512,0.00022860989,4.881805e-7],"category_scores_gemma":[0.000011668148,0.00037231133,0.00013883295,0.00023374055,0.000033416247,0.000066137014,0.000023703546,0.00045740083,0.000038429793],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008469425,0.00092562026,0.000039350765,0.096161164,0.0013153603,0.0056939083,0.009140694,0.6827626,3.2458627e-7,0.00023983644,0.0040207207,0.19961567],"study_design_scores_gemma":[0.0008197287,0.0007603216,0.0000026944788,0.029921297,0.0013135931,0.0014243668,0.009667013,0.027424669,0.0000015962255,0.0000078192525,0.92745626,0.0012006208],"about_ca_topic_score_codex":0.00004575792,"about_ca_topic_score_gemma":0.00003822355,"teacher_disagreement_score":0.92343557,"about_ca_system_score_codex":0.00015150101,"about_ca_system_score_gemma":0.000049360933,"threshold_uncertainty_score":0.99987286},"labels":[],"label_agreement":null},{"id":"W2057635989","doi":"10.1109/isgt.2013.6497846","title":"Denial-of-Service (dos) attacks on load frequency control in smart grids","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":207,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Denial-of-service attack; Electric power system; Computer science; Smart grid; Convergence (economics); Smart power; Power (physics); Dynamic demand; State space; Computer security; Distributed computing; Computer network; Engineering; The Internet; Electrical engineering; Operating system","score_opus":0.005961194462103133,"score_gpt":0.19501827067760888,"score_spread":0.18905707621550574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057635989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632164,0.00021640422,0.0006743957,0.00050981296,0.0006020544,0.000285384,0.000004474864,0.00014620308,0.034344833],"genre_scores_gemma":[0.99885243,0.000027814038,0.0002450096,0.00063675607,0.0000853245,0.000031811178,0.0000019196643,0.000014581688,0.000104364044],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913013,0.00002086365,0.0002533188,0.00014445245,0.00019316937,0.00025808704],"domain_scores_gemma":[0.99950475,0.00010025559,0.000018246636,0.0002372473,0.00006644785,0.000073068964],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010100653,0.00013353492,0.00019355603,0.00007825366,0.000020516814,0.000017566723,0.0002065646,0.00010986069,0.0006962135],"category_scores_gemma":[0.000028821065,0.00011345903,0.00004184919,0.00024431702,0.00002709773,0.00015769515,0.000014628652,0.00018747001,0.00094304007],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016717301,0.0010510803,0.34344965,0.0016823215,0.00033925945,0.00013434504,0.0077297227,0.1587809,0.37548882,0.023914972,0.06772764,0.019534132],"study_design_scores_gemma":[0.006741419,0.00044202313,0.49962872,0.00051269407,0.0000443324,0.000026548618,0.0004947855,0.43897733,0.037868965,0.0045596072,0.009009556,0.0016940276],"about_ca_topic_score_codex":0.0016494439,"about_ca_topic_score_gemma":0.0022043185,"teacher_disagreement_score":0.33761984,"about_ca_system_score_codex":0.00005690715,"about_ca_system_score_gemma":0.000025639598,"threshold_uncertainty_score":0.99983484},"labels":[],"label_agreement":null},{"id":"W2057843061","doi":"10.1109/mcom.2012.6257525","title":"Securing smart grid: cyber attacks, countermeasures, and challenges","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":405,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Smart grid; Computer science; Computer security; Grid; Semantic grid; Cyber-attack; Open research; Power grid; Architecture; Power (physics); World Wide Web; Engineering","score_opus":0.04821625042539332,"score_gpt":0.25942089855238987,"score_spread":0.21120464812699655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057843061","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39280778,0.46347025,0.0007448615,0.005553263,0.005283246,0.000675967,0.000083458115,0.001452737,0.12992844],"genre_scores_gemma":[0.94290775,0.055806812,0.0007143038,0.000054946206,0.00032377304,0.000038290367,0.000014868,0.000027724696,0.00011151408],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992133,0.00005750447,0.00019042876,0.00010802487,0.00012913678,0.0003016223],"domain_scores_gemma":[0.998583,0.000125046,0.00002693372,0.001092215,0.000042717074,0.00013004245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025031954,0.00014929684,0.00014948606,0.00007910764,0.00017499013,0.00003178031,0.00047238116,0.00008070546,0.000025523985],"category_scores_gemma":[0.000020884334,0.00015025132,0.000032735134,0.00009755909,0.00016251807,0.00031799727,0.00013479956,0.00027509994,0.00026543482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001250288,0.0039063264,0.094744384,0.0052873013,0.0018094012,0.00003550475,0.101278715,0.012775976,0.0602836,0.07723225,0.44791082,0.1946107],"study_design_scores_gemma":[0.00023978706,0.000013322308,0.0347451,0.000072560724,0.000025419575,0.00005530465,0.0001715537,0.004541933,0.00042664286,0.00007085314,0.9593514,0.0002860821],"about_ca_topic_score_codex":0.00000737559,"about_ca_topic_score_gemma":0.00020934193,"teacher_disagreement_score":0.55009997,"about_ca_system_score_codex":0.00003859255,"about_ca_system_score_gemma":0.000007776149,"threshold_uncertainty_score":0.61270714},"labels":[],"label_agreement":null},{"id":"W2058348003","doi":"10.1109/ccece.2014.6901102","title":"A survey on advanced metering infrastructure and its application in Smart Grids","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Metering mode; Control (management); Computer science; Focus (optics); Grid; Relation (database); Computer security; Foundation (evidence); Telecommunications; Engineering management; Engineering; Electrical engineering; Database","score_opus":0.005552484176140244,"score_gpt":0.20849522033910928,"score_spread":0.20294273616296904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058348003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99282515,0.0000723603,0.0052023456,0.000013505128,0.00012999492,0.00009537451,0.0000023048701,0.00008438959,0.0015745993],"genre_scores_gemma":[0.99965805,0.000045990768,0.0001884824,0.00003970125,0.000026351534,0.000011136741,0.000005616053,0.000007944663,0.000016701986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961007,0.000019536717,0.000086723296,0.00011533989,0.00005744447,0.00011088696],"domain_scores_gemma":[0.9997922,0.00006506178,0.000007381129,0.00009188115,0.000008737847,0.000034721346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013277121,0.00007304632,0.00008416583,0.000052007763,0.000018874629,0.000009793747,0.00005766484,0.000047809208,0.000006357533],"category_scores_gemma":[0.000039781004,0.0000642509,0.000007565505,0.0001156252,0.0000082015085,0.00006687139,0.00001548619,0.00009839674,0.0000102548565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008909944,0.000051039115,0.1486132,0.0003674764,0.000029560522,0.0000031151171,0.0013077804,0.52175134,0.12416852,0.0064344094,0.00081050233,0.19637395],"study_design_scores_gemma":[0.00021227145,0.00002686884,0.79773587,0.000015761732,8.765937e-7,0.0000011049474,0.000009217848,0.1931859,0.0068925116,0.00016223695,0.001639706,0.000117709664],"about_ca_topic_score_codex":0.000023505407,"about_ca_topic_score_gemma":0.0003876825,"teacher_disagreement_score":0.64912266,"about_ca_system_score_codex":0.000014529411,"about_ca_system_score_gemma":0.0000018779558,"threshold_uncertainty_score":0.26200756},"labels":[],"label_agreement":null},{"id":"W2060195230","doi":"10.1109/pesmg.2013.6672121","title":"Real-time distance protective relay on FPGA","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Field-programmable gate array; VHDL; Digital protective relay; Computer science; Hardware description language; Computer hardware; Protective relay; Embedded system","score_opus":0.003933709265087065,"score_gpt":0.18210196947850293,"score_spread":0.17816826021341586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060195230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6587726,0.00003800053,0.0037817692,0.0002253464,0.00031515412,0.00058946386,0.0000030231583,0.000838533,0.3354361],"genre_scores_gemma":[0.9952134,0.000032450353,0.00055599486,0.000032916305,0.0000850965,0.00008450206,0.0000011385675,0.000015431326,0.003979075],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953675,0.000009817839,0.00007919373,0.00011493638,0.00009581879,0.00016346491],"domain_scores_gemma":[0.99972355,0.000035670462,0.0000074736913,0.00016299695,0.00001800996,0.000052289644],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003399755,0.000083511855,0.0000763373,0.000024528466,0.000041865052,0.000021304202,0.00009043225,0.000050500457,0.000616056],"category_scores_gemma":[0.0000151217755,0.00006453512,0.000024640023,0.00009285855,0.0000275429,0.00011032261,0.000010416923,0.000118009586,0.0029439875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009459068,0.0004143969,0.0010625406,0.0004413833,0.00022280125,0.00006820739,0.0066502034,0.18853007,0.35676232,0.042845037,0.37133235,0.031576086],"study_design_scores_gemma":[0.0013999377,0.00069085904,0.08590588,0.00039032544,0.000022372906,0.000027723328,0.00062066957,0.4633219,0.37757674,0.008880657,0.058987796,0.0021751418],"about_ca_topic_score_codex":0.00007664567,"about_ca_topic_score_gemma":0.0000111095815,"teacher_disagreement_score":0.3364408,"about_ca_system_score_codex":0.000036127873,"about_ca_system_score_gemma":0.000004183353,"threshold_uncertainty_score":0.99783236},"labels":[],"label_agreement":null},{"id":"W2060335015","doi":"10.1007/s11235-013-9744-8","title":"Applying control theoretic approach to mitigate SIP overload","year":2013,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Government","keywords":"Retransmission; Computer science; Server; Computer network; Session Initiation Protocol; Upstream (networking); Distributed computing","score_opus":0.009430546678706114,"score_gpt":0.2018993082853096,"score_spread":0.1924687616066035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060335015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55737585,0.010031521,0.147211,0.0005777732,0.0017266821,0.010504527,0.000029613671,0.0026307227,0.26991227],"genre_scores_gemma":[0.9967824,0.000082089675,0.00056212663,0.0001144599,0.00009204497,0.002207593,0.000011564891,0.000027810576,0.000119909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998988,0.00012708333,0.00030887494,0.00014631887,0.00016618159,0.0002635878],"domain_scores_gemma":[0.99876606,0.00013435651,0.000042128253,0.00086530595,0.00006752091,0.00012459794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028654124,0.00014299691,0.00020959524,0.00008510743,0.00012797398,0.00013151018,0.0006005821,0.000087168555,0.000025482268],"category_scores_gemma":[0.000029043971,0.00013097528,0.000044808847,0.00022849474,0.000047977737,0.00016645294,0.000048282247,0.00019934734,0.0008298162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019393325,0.00027043096,0.0027914196,0.0011488667,0.0002747016,0.0000012722445,0.008523553,0.8125642,0.05088845,0.07838676,0.027843272,0.017287664],"study_design_scores_gemma":[0.0007311102,0.000037601032,0.0047557415,0.0001615859,0.000022956361,0.000035491918,0.0019116699,0.9298875,0.0008891793,0.00037302016,0.060571555,0.0006226217],"about_ca_topic_score_codex":0.00014520885,"about_ca_topic_score_gemma":0.0000032888902,"teacher_disagreement_score":0.4394065,"about_ca_system_score_codex":0.00006131618,"about_ca_system_score_gemma":0.000009009261,"threshold_uncertainty_score":0.99994814},"labels":[],"label_agreement":null},{"id":"W2061704203","doi":"10.1109/qbsc.2014.6841209","title":"Unified multi-critical infrastructure communication architecture","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Flexibility (engineering); Interdependence; Scalability; Critical infrastructure; Resilience (materials science); Information sharing; Government (linguistics); Computer security; Architecture; Risk analysis (engineering); Knowledge management; Business; World Wide Web","score_opus":0.0058810145314144285,"score_gpt":0.22102312008096872,"score_spread":0.2151421055495543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061704203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25241944,0.00044300943,0.6819755,0.001226394,0.0007544228,0.00017336968,0.0000053788954,0.0011924685,0.06181002],"genre_scores_gemma":[0.9802698,0.000021884582,0.01936921,0.00019196862,0.000061539846,0.0000032699377,0.000005636177,0.000010104196,0.00006657098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995913,0.000033123415,0.00008894398,0.00007612893,0.000073249685,0.00013724549],"domain_scores_gemma":[0.99951786,0.000118946264,0.000004501751,0.0002809496,0.000018160981,0.00005955729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065922395,0.00007851374,0.00007529175,0.000033541335,0.00006488265,0.000028597071,0.00018956896,0.000081153936,0.000093210176],"category_scores_gemma":[0.0000872785,0.000064283864,0.00002369757,0.00007950381,0.00007812186,0.000048247384,0.00003099761,0.00023947917,0.00003973842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023458892,0.00013388655,0.004423043,0.0004579903,0.00006756637,0.000005030172,0.0048633195,0.4685844,0.02811507,0.38917994,0.027407335,0.07673895],"study_design_scores_gemma":[0.00070303143,0.000040697123,0.042162538,0.000062703184,0.000017223416,0.000025292366,0.00028370632,0.8052228,0.008751954,0.019325886,0.12284505,0.00055911543],"about_ca_topic_score_codex":0.0000073051106,"about_ca_topic_score_gemma":0.000034775254,"teacher_disagreement_score":0.7278504,"about_ca_system_score_codex":0.000012590724,"about_ca_system_score_gemma":0.0000036198917,"threshold_uncertainty_score":0.26214197},"labels":[],"label_agreement":null},{"id":"W2062545564","doi":"10.1109/lescpe.2007.4437395","title":"Web-based Real-Time States Monitoring of Utility Distribution Systems with Alternate Energy Sources","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Digital signal processing; Computer science; Embedded system; Architecture; Node (physics); Fault (geology); State (computer science); Energy (signal processing); Real-time computing; Fault detection and isolation; Engineering; Computer hardware","score_opus":0.005517012510160217,"score_gpt":0.1999513817477257,"score_spread":0.1944343692375655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062545564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96075904,0.00018803396,0.03700328,0.000003834677,0.00024575146,0.00004997026,0.000024926234,0.00024718835,0.0014780005],"genre_scores_gemma":[0.99955887,0.00008423713,0.00014958723,9.896959e-7,0.00009413866,0.000003320069,0.000025735188,0.000010544372,0.000072604125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992458,0.000015002212,0.00020361743,0.00011767989,0.00019259533,0.00022525706],"domain_scores_gemma":[0.9996035,0.00008431429,0.00003562469,0.00015581353,0.000051055522,0.000069662994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021486469,0.00010725521,0.00014335549,0.000038664628,0.0000396704,0.00001866519,0.000099306344,0.00005028859,0.000012095721],"category_scores_gemma":[0.000005054261,0.00008231309,0.000026917052,0.00014043301,0.000053732296,0.00007348281,0.000009728158,0.00005636739,0.0000037245684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022653285,0.00013047279,0.2737669,0.00063807017,0.00012714113,0.00004377579,0.0003533592,0.65760726,0.06365949,0.0010068153,0.00048655985,0.0019536417],"study_design_scores_gemma":[0.00050856563,0.000085115076,0.03281439,0.00017380873,0.00001669084,0.000006108493,0.00031507912,0.5498408,0.41394424,0.000017045126,0.002035195,0.00024293145],"about_ca_topic_score_codex":0.0009264157,"about_ca_topic_score_gemma":0.000044060653,"teacher_disagreement_score":0.35028476,"about_ca_system_score_codex":0.000038690818,"about_ca_system_score_gemma":0.00001300631,"threshold_uncertainty_score":0.33566305},"labels":[],"label_agreement":null},{"id":"W2065522495","doi":"10.1145/2642687.2642695","title":"Quality of service differentiation for smart grid neighbor area networks through multiple RPL instances","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality of service; Computer science; Computer network; Smart grid; Distributed computing; Engineering","score_opus":0.02514129008302056,"score_gpt":0.242742357543619,"score_spread":0.21760106746059843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065522495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.471235,0.00013288626,0.52460825,0.00009354108,0.0010163367,0.00019834848,0.00001698947,0.00014746714,0.0025512031],"genre_scores_gemma":[0.9976631,0.000058036185,0.0017640361,0.00016637676,0.00024184962,0.000025977157,0.000044582288,0.00001264443,0.000023411221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992418,0.000028482555,0.0002808885,0.00014069893,0.00011937861,0.00018873328],"domain_scores_gemma":[0.99932593,0.00031905164,0.000054221156,0.00019320061,0.00007289053,0.00003469233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016137697,0.0001152677,0.00020560574,0.0000195333,0.000058445785,0.00001579223,0.00014141673,0.000089521294,0.0000282325],"category_scores_gemma":[0.000060159196,0.000095935844,0.00006346743,0.00013560355,0.000022826747,0.0001830863,0.000019796531,0.000075466996,0.0000029643115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002880377,0.00035629302,0.14922516,0.002609848,0.00025649008,3.157641e-7,0.0038319353,0.75326747,0.01557947,0.055923298,0.009172601,0.009489112],"study_design_scores_gemma":[0.0006399347,0.000031280986,0.07067137,0.00003621214,0.000010174327,2.5606388e-7,0.00012255111,0.91563207,0.006734685,0.00095929723,0.004969736,0.00019241938],"about_ca_topic_score_codex":0.00016782826,"about_ca_topic_score_gemma":0.0026111617,"teacher_disagreement_score":0.5264281,"about_ca_system_score_codex":0.000014470126,"about_ca_system_score_gemma":0.0000048807065,"threshold_uncertainty_score":0.39121503},"labels":[],"label_agreement":null},{"id":"W2067448854","doi":"10.1177/8756479308330117","title":"HSPnet","year":2009,"lang":"en","type":"article","venue":"Journal of diagnostic medical sonography","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Medicine; Traditional medicine; Family medicine","score_opus":0.0029479373971025703,"score_gpt":0.2025482657289464,"score_spread":0.19960032833184385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067448854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96907073,0.01015322,0.011095215,0.0030117764,0.0027235944,0.00008442709,0.000002248013,0.00009841647,0.0037603492],"genre_scores_gemma":[0.99457586,0.0035263451,0.000491017,0.0006484689,0.0007494506,6.2127594e-7,5.182237e-7,0.000005762374,0.0000019655047],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987385,0.0000242743,0.00037535705,0.00005554696,0.0005955945,0.00021071827],"domain_scores_gemma":[0.9985786,0.0008250111,0.000057502406,0.00008749975,0.000047007212,0.000404363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003685737,0.00009516878,0.00020469449,0.00016817634,0.000032318367,0.00001900269,0.00028003886,0.00011242769,0.0002464164],"category_scores_gemma":[0.0017333351,0.000071131624,0.00016609476,0.00030279288,0.00006856027,0.0001077219,0.0000072176917,0.00042727272,0.000016505894],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006589266,0.0010833426,0.054225523,0.00018802776,0.00043002484,0.0033363,0.0018544563,0.007708381,0.00053869904,0.0044876444,0.45287123,0.47321045],"study_design_scores_gemma":[0.004785357,0.0030153645,0.5675472,0.0024697853,0.00028053424,0.0024192003,0.00044925848,0.011823236,0.0031126533,0.02178444,0.3810307,0.0012822311],"about_ca_topic_score_codex":7.0712457e-7,"about_ca_topic_score_gemma":0.0000012880729,"teacher_disagreement_score":0.5133217,"about_ca_system_score_codex":0.000010091522,"about_ca_system_score_gemma":0.0000330539,"threshold_uncertainty_score":0.29006633},"labels":[],"label_agreement":null},{"id":"W2067698191","doi":"10.1109/mnet.2013.6423185","title":"Authentication and authorization mechanisms for substation automation in smart grid network","year":2013,"lang":"en","type":"article","venue":"IEEE Network","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SCADA; Computer science; Computer security; Smart grid; Authentication (law); Access control; Key (lock); Automation; Computer network; Engineering","score_opus":0.007706765945159438,"score_gpt":0.20600095492869877,"score_spread":0.19829418898353934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067698191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41930357,0.00035267233,0.5690976,0.00016943397,0.009243217,0.0011876962,0.000003921339,0.00038520724,0.00025668557],"genre_scores_gemma":[0.9922838,0.00007870396,0.0053677005,0.000045506556,0.0018626424,0.00023630235,0.00006761606,0.000022883487,0.000034802873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992216,0.000030293199,0.00022783312,0.00015563982,0.00009642616,0.00026819095],"domain_scores_gemma":[0.999669,0.00009994881,0.000040798608,0.00009970953,0.000041428266,0.00004910977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024032457,0.00010623104,0.00011164847,0.00004957058,0.000098393546,0.000058773727,0.00005998914,0.000109793466,0.000009437918],"category_scores_gemma":[0.00001620172,0.000112004025,0.00002106319,0.00028588824,0.000017173767,0.00027795119,0.0000060744856,0.00008004899,0.00002253259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013633147,0.000017555176,0.0015645092,0.00010904429,0.000015614602,4.1280896e-7,0.000871506,0.950354,0.00258835,0.013591715,0.025608946,0.005264743],"study_design_scores_gemma":[0.00025387117,0.000030316623,0.050084695,0.000066950124,0.000011169325,0.000001606426,0.000028876892,0.9035378,0.00049130915,0.044196837,0.0011335327,0.00016305104],"about_ca_topic_score_codex":0.000016495527,"about_ca_topic_score_gemma":0.000087464636,"teacher_disagreement_score":0.5729803,"about_ca_system_score_codex":0.000039952367,"about_ca_system_score_gemma":0.000007715365,"threshold_uncertainty_score":0.45673916},"labels":[],"label_agreement":null},{"id":"W2069405491","doi":"10.1109/lescpe.2006.280356","title":"The Process of System Collapse Based on Areas of Vulnerability","year":2006,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Vulnerability (computing); Vulnerability assessment; Computer science; Process (computing); Computer security; State (computer science)","score_opus":0.0037338749657328807,"score_gpt":0.19979039013970237,"score_spread":0.1960565151739695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069405491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645428,0.00007966619,0.0008447609,0.000022683314,0.00015617117,0.00013744833,0.000006168622,0.0000790415,0.034131277],"genre_scores_gemma":[0.999883,0.0000013515037,0.00002690635,0.0000029866328,0.000025170059,0.000008082301,0.0000010159075,0.000004387327,0.000047090314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951404,0.000018929082,0.0001704727,0.000062384664,0.00014790971,0.000086265456],"domain_scores_gemma":[0.9995812,0.00014735272,0.00002317493,0.00018669268,0.000046434117,0.000015119029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016876619,0.000054039465,0.0000963016,0.000018932462,0.00003799447,0.0000046786968,0.00010804272,0.000031989115,0.0000065369477],"category_scores_gemma":[0.000016193908,0.00003255158,0.000031202548,0.00011488831,0.000058826554,0.00001749407,0.0000040619657,0.00004682863,0.0000020085786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053954667,0.00011745695,0.012591264,0.0016010165,0.000011244761,0.0000014901782,0.00013151193,0.9738628,0.0021629068,0.008168766,0.0010042965,0.0002932409],"study_design_scores_gemma":[0.0003819853,0.00007796339,0.023458248,0.00018735748,0.000008057942,0.0000015719133,0.00066310895,0.6731695,0.3011236,0.00019127096,0.00060374,0.00013360225],"about_ca_topic_score_codex":0.00005313592,"about_ca_topic_score_gemma":0.00008164211,"teacher_disagreement_score":0.30069333,"about_ca_system_score_codex":0.000019281342,"about_ca_system_score_gemma":0.000016939288,"threshold_uncertainty_score":0.13274148},"labels":[],"label_agreement":null},{"id":"W2070541677","doi":"10.1109/iccchina.2013.6671200","title":"PPPA: A practical privacy-preserving aggregation scheme for smart grid communications","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Smart grid; Data aggregator; Differential privacy; Authentication (law); Default gateway; Computer network; Scheme (mathematics); Grid; Cryptography; Information privacy; Access control; Computer security; Security analysis; Wireless sensor network; Data mining","score_opus":0.033068158910364194,"score_gpt":0.28281750821122714,"score_spread":0.24974934930086296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070541677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6030059,0.0016543983,0.26907277,0.034854934,0.0024873824,0.003941519,0.00002878885,0.002595457,0.08235886],"genre_scores_gemma":[0.8240126,0.00022569955,0.17439696,0.00020356195,0.00023747163,0.00039982618,0.000040152274,0.00002859547,0.00045514503],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993977,0.000018822595,0.00017146417,0.00010898244,0.00010004295,0.0002029902],"domain_scores_gemma":[0.9988521,0.00030031192,0.000020957292,0.00066643837,0.00008537749,0.00007483856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011641369,0.00008824357,0.000091522175,0.000041950207,0.00013940345,0.0000743241,0.00038970678,0.00007376532,0.00020984391],"category_scores_gemma":[0.0003472204,0.00008018269,0.000044996494,0.00012101085,0.00004861805,0.0005087446,0.00017243663,0.00015594823,0.0002077156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023653281,0.00044808237,0.010123393,0.0006764495,0.0002479903,0.0000026466507,0.0029142136,0.0022917714,0.044955306,0.07498982,0.8514801,0.01184653],"study_design_scores_gemma":[0.00032337775,0.000028864566,0.0037162015,0.00004416647,0.000012478228,0.000011397262,0.0002465796,0.8420817,0.0059123076,0.0025876507,0.14479814,0.000237112],"about_ca_topic_score_codex":0.000065169595,"about_ca_topic_score_gemma":0.00006121971,"teacher_disagreement_score":0.8397899,"about_ca_system_score_codex":0.00002916043,"about_ca_system_score_gemma":0.000018206827,"threshold_uncertainty_score":0.32697552},"labels":[],"label_agreement":null},{"id":"W2070585551","doi":"10.1109/icc.2014.6883894","title":"Performance and applicability of candidate routing protocols for smart grid's wireless mesh neighbor area networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Routing protocol; Wireless mesh network; Smart grid; Distributed computing; Dynamic Source Routing; Wireless Routing Protocol; Neighbor Discovery Protocol; Stateless protocol; Order One Network Protocol; Wireless; Wireless network; Routing (electronic design automation); Network packet; Internet Protocol; Engineering; Telecommunications; The Internet","score_opus":0.008255852900607975,"score_gpt":0.21701523403388623,"score_spread":0.20875938113327824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070585551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90150267,0.000010968446,0.089527875,0.000025888785,0.00014665264,0.0060365396,0.000008261145,0.00015095493,0.0025901746],"genre_scores_gemma":[0.99665344,0.000015722588,0.0004908218,0.000020605188,0.00014491325,0.0026318508,0.0000050935464,0.000014436299,0.000023116163],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992233,0.000013131715,0.00023836091,0.00018151266,0.000086657645,0.00025704893],"domain_scores_gemma":[0.9995064,0.0001272996,0.000037655765,0.00021751835,0.000039414004,0.00007171477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034159276,0.00012756881,0.00022334947,0.000022374317,0.00007981928,0.000020196621,0.00012490245,0.000082950224,0.000009847495],"category_scores_gemma":[0.000020626836,0.00010475487,0.000036887108,0.00009155887,0.00007454364,0.00009942727,0.000036390793,0.00010613037,7.7669563e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000448043,0.00024774426,0.56904984,0.006259407,0.0001673361,0.0000010008029,0.0017098138,0.24607025,0.009497745,0.014154868,0.0046293237,0.14776462],"study_design_scores_gemma":[0.0003698873,0.00007172852,0.012464169,0.000069551694,0.000006709632,0.0000018186158,0.000028345947,0.97942734,0.0058247047,0.00003771503,0.0015507865,0.00014727422],"about_ca_topic_score_codex":0.000017991628,"about_ca_topic_score_gemma":0.000045889075,"teacher_disagreement_score":0.7333571,"about_ca_system_score_codex":0.000014882197,"about_ca_system_score_gemma":0.000008584598,"threshold_uncertainty_score":0.42717797},"labels":[],"label_agreement":null},{"id":"W2071455347","doi":"10.4018/jitn.2012010103","title":"Evolution of Standards for Smart Grid Communications","year":2012,"lang":"en","type":"article","venue":"International Journal of Interdisciplinary Telecommunications and Networking","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Smart grid; Telecommunications; Grid; Transmission (telecommunications); Work (physics); Range (aeronautics); Electrical engineering","score_opus":0.01676635681090462,"score_gpt":0.31207519778434956,"score_spread":0.29530884097344495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071455347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58144015,0.13331996,0.25129864,0.0043065255,0.015037335,0.0006423814,0.00034670034,0.00013241921,0.013475875],"genre_scores_gemma":[0.9856381,0.0043450017,0.009267791,0.000012367922,0.0006914211,0.000010027763,0.000015167865,0.000012912439,0.000007243081],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990381,0.000047507674,0.0005225196,0.000045366472,0.00020103603,0.00014545822],"domain_scores_gemma":[0.99857306,0.0003340522,0.00022090078,0.00031572333,0.0004894956,0.00006678084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074613036,0.00008917187,0.00016828591,0.00019257472,0.00015519957,0.000025643321,0.00080997025,0.00005230058,0.00000837577],"category_scores_gemma":[0.000029956187,0.000082893544,0.00011031521,0.000116069656,0.00014034094,0.00035766675,0.00040830908,0.00021925705,4.350775e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001344717,0.0031569332,0.216381,0.0006058789,0.0046705203,0.0000074681975,0.045089763,0.038443185,0.017590195,0.08701819,0.06845826,0.5172339],"study_design_scores_gemma":[0.0036546157,0.0008534622,0.07326327,0.0032065182,0.00040381798,0.0012909081,0.009779622,0.2606124,0.0032066226,0.01729833,0.62528414,0.0011463147],"about_ca_topic_score_codex":0.0000029971893,"about_ca_topic_score_gemma":0.000023684532,"teacher_disagreement_score":0.5568259,"about_ca_system_score_codex":0.00017450613,"about_ca_system_score_gemma":0.000043734777,"threshold_uncertainty_score":0.33803007},"labels":[],"label_agreement":null},{"id":"W2072227228","doi":"10.1109/iccps.2014.6843716","title":"Sacrificing a little space can significantly improve monitoring of time-sensitive cyber-physical systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cyber-physical system; Computer science; Space (punctuation); Computer security; Real-time computing","score_opus":0.00449836379419752,"score_gpt":0.19072715701499254,"score_spread":0.18622879322079502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072227228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98633856,0.000050970557,0.006320455,0.000020822672,0.00088764436,0.00015763847,0.00000964487,0.00021822736,0.0059960536],"genre_scores_gemma":[0.9987255,0.000008847783,0.00022918198,0.000002955045,0.0006084589,0.0000063887933,0.0000013700802,0.00002439635,0.0003929392],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914986,0.00003749698,0.00017597953,0.00018158018,0.00018829505,0.00026679167],"domain_scores_gemma":[0.9993978,0.00019074888,0.0000333138,0.0002227859,0.000060681414,0.000094652445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013621218,0.00014825871,0.00026969617,0.000056817742,0.00004690778,0.000027548043,0.0001082075,0.00006705681,0.0000033891363],"category_scores_gemma":[0.000041792322,0.00013024535,0.000062768115,0.00014520575,0.000052508523,0.00006818808,0.000023682755,0.0001603608,0.000051657815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008211236,0.000038951497,0.0007915276,0.00022332082,0.00005594427,0.0000062261383,0.0029910163,0.08688069,0.9066496,0.0015106633,0.00025620975,0.00058765756],"study_design_scores_gemma":[0.00015992417,0.00007902759,0.0013168622,0.00012417021,0.00002113993,0.000004746331,0.0014182357,0.34448138,0.6519063,0.000024355619,0.00022377026,0.00024007415],"about_ca_topic_score_codex":0.00042610258,"about_ca_topic_score_gemma":0.00001033493,"teacher_disagreement_score":0.2576007,"about_ca_system_score_codex":0.00004340366,"about_ca_system_score_gemma":0.000013502151,"threshold_uncertainty_score":0.53112507},"labels":[],"label_agreement":null},{"id":"W2072275462","doi":"10.1109/pesmg.2013.6672622","title":"Universal controller for Smart Grid","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Smart grid; Standardization; Interoperability; Interchangeability; Modular design; Controller (irrigation); Computer science; Software deployment; Automation; Embedded system; Grid; Systems engineering; Control engineering; Distributed computing; Engineering; Software engineering; Electrical engineering; Operating system","score_opus":0.004472037341032755,"score_gpt":0.16881242403778968,"score_spread":0.16434038669675693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072275462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6358321,0.000550671,0.15130489,0.001522718,0.005407516,0.0019743522,0.000026495421,0.0017246996,0.20165658],"genre_scores_gemma":[0.9966626,0.00001623379,0.00085958844,0.00012345506,0.00019785685,0.000031307107,0.0000025271863,0.000009282586,0.0020971235],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997031,0.0000025974875,0.00005745851,0.000059250375,0.000039830447,0.00013777136],"domain_scores_gemma":[0.99982613,0.00004568047,0.0000036463437,0.000057768175,0.000022261149,0.000044528806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023885072,0.000052528016,0.000066431334,0.000022073524,0.000030376395,0.000017279557,0.00006650894,0.000035293448,0.0003634326],"category_scores_gemma":[0.000007427128,0.000042253047,0.00003516164,0.000035686222,0.000016656822,0.0001047779,0.0000067373544,0.00003759783,0.00027011998],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000225012,0.000043736694,0.0013775609,0.00009511059,0.00011058355,0.0000024191304,0.00050154043,0.014255014,0.016453976,0.024122212,0.93379354,0.009221803],"study_design_scores_gemma":[0.0017123362,0.00006898861,0.0055263415,0.000010602262,0.00001360934,0.0000043636114,0.00034863903,0.56450063,0.0072860443,0.001374075,0.41882622,0.00032816114],"about_ca_topic_score_codex":0.000036589026,"about_ca_topic_score_gemma":0.000014993493,"teacher_disagreement_score":0.5502456,"about_ca_system_score_codex":0.000011152782,"about_ca_system_score_gemma":0.0000035654807,"threshold_uncertainty_score":0.39793321},"labels":[],"label_agreement":null},{"id":"W2074132290","doi":"10.1109/ccnc.2014.6866605","title":"Evaluation of an efficient Smart Grid communication system at the neighbor area level","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Scalability; Smart grid; Network packet; Wide area network; Network architecture; Low latency (capital markets); Interconnection; Latency (audio); Distributed computing; Telecommunications; Engineering","score_opus":0.03688746170900664,"score_gpt":0.243514000366203,"score_spread":0.20662653865719635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074132290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973074,0.0002514412,0.004873097,0.000055892055,0.00036217042,0.00021673564,0.00000631324,0.00009881023,0.0210615],"genre_scores_gemma":[0.9997102,0.0000072010425,0.00015334574,0.000011764365,0.000042479976,0.000014689646,0.000015648455,0.0000070758992,0.00003757832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990953,0.00018779395,0.00015714212,0.000077452874,0.00039053455,0.00009174039],"domain_scores_gemma":[0.9992002,0.000101051766,0.000031034837,0.00050673005,0.00013190428,0.000029054787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016620228,0.00006464278,0.00008000363,0.000025991465,0.00009479665,0.000012262209,0.00020829367,0.000040064733,0.000055748293],"category_scores_gemma":[0.000050347528,0.000042021777,0.000026544954,0.00008896229,0.000045272587,0.00004340412,0.000038075632,0.00006060576,0.000036028596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005079119,0.000033714736,0.00024995618,0.000064836364,0.000019221403,5.0908312e-8,0.0008947539,0.986409,0.0027819537,0.0038595807,0.00089706766,0.004784798],"study_design_scores_gemma":[0.00017729176,0.000015422393,0.011718303,0.000031047653,0.000031449625,0.0000032636758,0.00028672774,0.9773134,0.009674244,0.000018772052,0.00067118177,0.000058921134],"about_ca_topic_score_codex":0.00006690799,"about_ca_topic_score_gemma":0.00038337059,"teacher_disagreement_score":0.026636176,"about_ca_system_score_codex":0.00009967533,"about_ca_system_score_gemma":0.0000117497175,"threshold_uncertainty_score":0.17135982},"labels":[],"label_agreement":null},{"id":"W2077030116","doi":"10.1504/ijmr.2012.045245","title":"Critical infrastructure protection security layer for DNP3 devices","year":2012,"lang":"en","type":"article","venue":"International Journal of Manufacturing Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer security; Critical infrastructure; Control system security; Computer science; Limiting; Confidentiality; Automation; Implementation; Security service; Security controls; Application layer; Critical infrastructure protection; Information security; Control (management); Network security policy; Engineering; Software","score_opus":0.04919281225965825,"score_gpt":0.3691048369902035,"score_spread":0.31991202473054525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077030116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878758,0.0005298025,0.0064700963,0.00078924705,0.0034320275,0.00015551155,0.00001156412,0.000031205633,0.0007047521],"genre_scores_gemma":[0.9965176,0.000066010274,0.00064658385,0.000023191915,0.002698673,0.0000113184915,0.0000014397491,0.000015402076,0.000019772457],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99839544,0.000059655955,0.00027193865,0.0000785004,0.0008381762,0.00035629122],"domain_scores_gemma":[0.9988121,0.0003641772,0.000041473708,0.000080705846,0.00055129215,0.00015027482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011382486,0.00009201841,0.00011724476,0.00032192495,0.000097404656,0.00011521643,0.0004334907,0.000099486984,0.00010793156],"category_scores_gemma":[0.00046768412,0.000076379285,0.00009146188,0.000058965677,0.0000795225,0.00065705663,0.00006218357,0.00070087047,0.000015422633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047368603,0.0024318579,0.05335888,0.0051969336,0.0041134176,0.0005566498,0.038411163,0.1774026,0.12754823,0.023206567,0.1441931,0.41884375],"study_design_scores_gemma":[0.0009819268,0.00022078223,0.07233448,0.00031768708,0.00002170334,0.00070516346,0.00073049933,0.0062422445,0.6997081,0.014033847,0.20436965,0.0003338845],"about_ca_topic_score_codex":0.0000074251034,"about_ca_topic_score_gemma":0.0000053698595,"teacher_disagreement_score":0.5721599,"about_ca_system_score_codex":0.00017645459,"about_ca_system_score_gemma":0.000033722947,"threshold_uncertainty_score":0.31146568},"labels":[],"label_agreement":null},{"id":"W2077242606","doi":"10.1109/pciceurope.2014.6900069","title":"Yikes! Are plant control and power assets safe from cyber-attacks?","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Asset management; Computer security; Asset (computer security); Critical infrastructure; Control (management); Scalability; Computer science; Risk analysis (engineering); Business; Finance; Database","score_opus":0.0034196859968976963,"score_gpt":0.17324966434472805,"score_spread":0.16982997834783034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077242606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747335,0.00048213435,0.006890227,0.0002802995,0.0006798601,0.00009777916,0.00007217917,0.00022945511,0.016534599],"genre_scores_gemma":[0.99921864,0.000041317246,0.00019912928,0.00028712818,0.00012958968,0.000003835974,0.000008237413,0.000012028317,0.00010007021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994321,0.000019494706,0.000113938,0.00014534617,0.00010579373,0.00018332072],"domain_scores_gemma":[0.9995641,0.00015355223,0.000014419328,0.00016020807,0.00001149037,0.000096227355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007648692,0.00011263503,0.00015852155,0.000028294326,0.000044568904,0.00003923018,0.00008872297,0.00008361004,0.00020785934],"category_scores_gemma":[0.000029241894,0.0000904583,0.000025345533,0.000034996443,0.000030510611,0.00008698724,0.000017278802,0.000119071,0.00012579806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002522545,0.00036756226,0.4467126,0.0003218063,0.0008980518,0.00029553907,0.0053039175,0.023271048,0.07201022,0.02015673,0.41981837,0.010591904],"study_design_scores_gemma":[0.0024910453,0.00009502906,0.64892346,0.00011882314,0.000043041382,0.0000344568,0.0002958612,0.1191081,0.005363979,0.00080186117,0.22192977,0.0007945642],"about_ca_topic_score_codex":0.000043746804,"about_ca_topic_score_gemma":0.00016612961,"teacher_disagreement_score":0.20221086,"about_ca_system_score_codex":0.000009508374,"about_ca_system_score_gemma":0.0000030314077,"threshold_uncertainty_score":0.36887825},"labels":[],"label_agreement":null},{"id":"W2081036449","doi":"10.1109/mpe.2014.2301514","title":"Powering Through the Storm: Microgrids Operation for More Efficient Disaster Recovery","year":2014,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Lawrence Berkeley National Laboratory; U.S. Department of Energy; U.S. Department of Defense","keywords":"Microgrid; Disaster recovery; Electricity; Natural disaster; Mains electricity; Storm; Compromise; Engineering; Risk analysis (engineering); Environmental economics; Computer science; Business; Renewable energy; Economics","score_opus":0.005724284023336553,"score_gpt":0.2068026582529496,"score_spread":0.20107837422961305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081036449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74745834,0.0014145033,0.23909494,0.0005515722,0.003944056,0.00012521404,0.000018643204,0.00016849449,0.0072242403],"genre_scores_gemma":[0.9981717,0.0001439992,0.0003324608,0.00036776427,0.0003322595,0.000029385119,0.000010503821,0.000024821926,0.00058710494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993356,0.000015118833,0.00015032798,0.00017306319,0.000095082694,0.00023083792],"domain_scores_gemma":[0.9996623,0.000063539024,0.000015531967,0.00019158062,0.0000237532,0.000043334334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009704249,0.00014492792,0.00012727971,0.000026005813,0.00013514038,0.00006450471,0.00010884379,0.000064394866,0.000018302506],"category_scores_gemma":[0.000011705876,0.00010026476,0.00005485179,0.000065619395,0.00007191051,0.00010919119,0.000022051989,0.00007695797,0.0000113548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008006285,0.00007253072,0.000058615547,0.00010422316,0.000076174045,0.000002602548,0.006301403,0.9080402,0.045246717,0.0034074783,0.026482927,0.010127062],"study_design_scores_gemma":[0.0007717169,0.0001979193,0.001211976,0.00005871559,0.00003301852,0.000032538446,0.00033289273,0.19858062,0.013342985,0.00022362002,0.7847467,0.00046730845],"about_ca_topic_score_codex":0.000019054973,"about_ca_topic_score_gemma":0.00005844541,"teacher_disagreement_score":0.75826377,"about_ca_system_score_codex":0.0000185498,"about_ca_system_score_gemma":0.0000050319427,"threshold_uncertainty_score":0.40886784},"labels":[],"label_agreement":null},{"id":"W2082525023","doi":"10.1109/dsnw.2012.6264682","title":"A model for security analysis of smart meters","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smart grid; Smart meter; Metering mode; Software deployment; Computer science; Key (lock); Embedded system; Automatic meter reading; Measure (data warehouse); Computer security; Real-time computing; Telecommunications; Engineering; Wireless; Electrical engineering; Operating system; Database","score_opus":0.02124017526783608,"score_gpt":0.2418173880577653,"score_spread":0.2205772127899292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082525023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7976302,0.00021271105,0.19924298,0.000013321574,0.00016051372,0.00008558398,0.000025194466,0.00008165046,0.0025478778],"genre_scores_gemma":[0.9972933,0.00001591229,0.0025582302,0.000023743805,0.000022582113,0.000010733965,0.0000046954806,0.0000055515784,0.00006526662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959505,0.00000408206,0.000111322806,0.000053135853,0.00006876587,0.00016765184],"domain_scores_gemma":[0.9997512,0.000044289976,0.000010562979,0.00011926487,0.00001769457,0.000056984893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011971393,0.000056837856,0.00014799705,0.00011807627,0.000016184538,0.0000033696863,0.00006884597,0.00003895767,0.0000331803],"category_scores_gemma":[0.00001166259,0.000048506896,0.0001351876,0.0002758497,0.000017405833,0.000101814956,0.000010061904,0.000032698405,0.0000023567598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024248888,0.00012585566,0.020048484,0.00020859935,0.0018700431,1.4647351e-7,0.00824873,0.94709986,0.005575334,0.011571072,0.0046808016,0.00054683536],"study_design_scores_gemma":[0.000060294507,0.0000058450673,0.0009665394,0.0000014240635,0.00025149164,1.3356235e-7,0.000058076366,0.99324316,0.004837867,0.00012159696,0.00038649593,0.00006706498],"about_ca_topic_score_codex":0.000010867052,"about_ca_topic_score_gemma":0.000087259774,"teacher_disagreement_score":0.19966312,"about_ca_system_score_codex":0.000010561289,"about_ca_system_score_gemma":0.0000031763998,"threshold_uncertainty_score":0.19780537},"labels":[],"label_agreement":null},{"id":"W2083222090","doi":"10.1145/2695664.2695835","title":"By-design vulnerabilities in the ANSI C12.22 protocol specification","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Testbed; Denial-of-service attack; ANSI C; Protocol (science); Operating system; Protocol stack; Communications protocol; Computer network; Software; Embedded system; The Internet; Wireless sensor network","score_opus":0.040364163116270106,"score_gpt":0.2598088169117999,"score_spread":0.2194446537955298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083222090","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09144549,0.00047498484,0.19662118,0.00401446,0.0014330848,0.2408982,0.000019937554,0.0016294997,0.46346316],"genre_scores_gemma":[0.924983,0.000011734178,0.0017497938,0.00020110577,0.0002876762,0.07177504,0.000007163008,0.00002279169,0.0009616689],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944544,0.000070945476,0.00012351609,0.000086764754,0.00014866928,0.00012468087],"domain_scores_gemma":[0.99966806,0.00009209493,0.000007905874,0.00018217303,0.000019202558,0.000030552925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043000613,0.00006807255,0.00005907507,0.000027932696,0.000024635336,0.000035641027,0.00016733343,0.00004000142,0.00008361447],"category_scores_gemma":[0.00004248099,0.00004325882,0.000012689896,0.0001397383,0.000028516599,0.000118407304,0.0000069724056,0.00011539756,0.000081954306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060382397,0.00020551828,0.002177047,0.00013886028,0.000009840111,0.0000070401516,0.017179815,0.077512495,0.0031696467,0.015180932,0.88123393,0.0031244669],"study_design_scores_gemma":[0.0012199305,0.00025640184,0.0028004586,0.000039965453,0.000004499088,0.000018292161,0.010999235,0.09672405,0.040373508,0.009255435,0.83776474,0.0005434978],"about_ca_topic_score_codex":0.00002793733,"about_ca_topic_score_gemma":0.000018387767,"teacher_disagreement_score":0.8335375,"about_ca_system_score_codex":0.0000350155,"about_ca_system_score_gemma":0.000015301872,"threshold_uncertainty_score":0.17640434},"labels":[],"label_agreement":null},{"id":"W2085647493","doi":"10.1109/lescpe.2007.4437349","title":"Network-Integrated Protection and Control Strategy for Power Distribution Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control (management); Computer science; Power control; Power (physics); Distribution (mathematics); Reliability engineering; Risk analysis (engineering); Engineering; Business; Mathematics; Artificial intelligence","score_opus":0.009415899868076965,"score_gpt":0.20466204821893483,"score_spread":0.19524614835085785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085647493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091062784,0.00042316524,0.9064717,0.000015552687,0.00057303905,0.00055548653,0.000019529229,0.0002044441,0.00067426485],"genre_scores_gemma":[0.9996658,0.000007401446,0.00003973344,0.000008468013,0.00014769194,0.00003059856,0.000017942457,0.0000067941687,0.00007556258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999541,0.000007424649,0.00012231094,0.00008339962,0.000049906714,0.00019599505],"domain_scores_gemma":[0.9998163,0.000035180165,0.000012211459,0.000050254395,0.000041401294,0.00004465156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023744433,0.000071309856,0.000083106715,0.0000139660515,0.00006295375,0.000036108773,0.000025525538,0.00008072695,0.0000052842756],"category_scores_gemma":[0.0000119452225,0.00005681631,0.000016312866,0.00008324274,0.000017552113,0.00006919677,0.000002134861,0.00007352277,0.0000027079739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053398614,0.00008301592,0.0018510087,0.0005344866,0.00017875005,0.000017288436,0.00022719019,0.8866325,0.020369852,0.05770025,0.01931446,0.012557218],"study_design_scores_gemma":[0.001350324,0.00029221896,0.008708106,0.000067379246,0.000022897977,0.000050247134,0.000427794,0.9486869,0.0025828127,0.00037611564,0.037104223,0.0003309997],"about_ca_topic_score_codex":0.000040810515,"about_ca_topic_score_gemma":0.000046015426,"teacher_disagreement_score":0.908603,"about_ca_system_score_codex":0.000031539843,"about_ca_system_score_gemma":0.00000504642,"threshold_uncertainty_score":0.23169018},"labels":[],"label_agreement":null},{"id":"W2085843393","doi":"10.1109/epec.2013.6802922","title":"Advanced power system laboratory","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"IEC 61850; Interoperability; Vendor; Electric power system; Reliability engineering; Automation; Computer science; Reliability (semiconductor); Systems engineering; Transformer; Engineering; Electrical engineering; Power (physics); Operating system","score_opus":0.001404441625585834,"score_gpt":0.14951568221184364,"score_spread":0.1481112405862578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085843393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9071412,0.00039788845,0.0010777062,0.000033838034,0.0009034281,0.00011908015,0.000001754331,0.000840278,0.08948484],"genre_scores_gemma":[0.99919695,0.000008201425,0.00043989954,0.00004386142,0.000032646178,0.000016478722,3.7966896e-7,0.000008528496,0.000253033],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996869,0.0000045962975,0.000067701716,0.00006023146,0.000060492617,0.00012009842],"domain_scores_gemma":[0.99979264,0.000011283059,0.0000040327927,0.00011679865,0.000026101368,0.000049144674],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000021403861,0.00005397509,0.00005604861,0.000019936851,0.000021433812,0.000016495018,0.00006832614,0.00003357464,0.00035065462],"category_scores_gemma":[0.0000037332288,0.0000434741,0.00001365401,0.000086320135,0.000011743343,0.00014528444,0.000008331556,0.000052915042,0.0015041798],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011424631,0.00012053163,0.005845004,0.001474554,0.00017864571,0.000076273514,0.0046655266,0.0625561,0.42294192,0.09434504,0.39659575,0.011189235],"study_design_scores_gemma":[0.0018865728,0.00018818011,0.06827051,0.0003832611,0.000022821196,0.00004801253,0.012053779,0.20491038,0.24981305,0.00036623675,0.45972285,0.0023343344],"about_ca_topic_score_codex":0.000005267956,"about_ca_topic_score_gemma":0.0000021401129,"teacher_disagreement_score":0.17312887,"about_ca_system_score_codex":0.000020174608,"about_ca_system_score_gemma":0.0000041014796,"threshold_uncertainty_score":0.99927324},"labels":[],"label_agreement":null},{"id":"W2089493030","doi":"10.1109/icc.2013.6655271","title":"Intrusion detection in advanced metering infrastructure based on consumption pattern","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metering mode; Intrusion detection system; Leverage (statistics); Computer science; Anomaly detection; Predictability; Electricity; Data mining; Term (time); Adversarial system; Consumption (sociology); Real-time computing; Artificial intelligence; Engineering","score_opus":0.0043023805342473406,"score_gpt":0.1915945819241672,"score_spread":0.18729220138991987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089493030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428339,0.000012536203,0.056118775,0.00002156521,0.00035804283,0.00014465311,5.8261924e-7,0.00016196967,0.00034798568],"genre_scores_gemma":[0.9994101,0.000024964358,0.00037616846,0.00011229684,0.00003124401,0.000026380854,0.0000030875422,0.000009941665,0.0000058227874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954075,0.000013436764,0.00011276713,0.00011028315,0.00008674145,0.00013602007],"domain_scores_gemma":[0.9998079,0.000030381769,0.000010319169,0.0001074475,0.000010083488,0.000033863864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034784734,0.00008895825,0.0000737797,0.00011261937,0.000026045218,0.000021200145,0.00005326461,0.00006900579,0.00037850198],"category_scores_gemma":[0.000009378958,0.000076971875,0.000018009994,0.000091552465,0.000011405095,0.00014891915,0.000010615824,0.00015123673,0.00010606348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066844636,0.000008409081,0.004250903,0.000057051402,0.0000019055964,0.0000017557948,0.000106797976,0.67889196,0.10130148,0.000002880052,0.000050150964,0.21532005],"study_design_scores_gemma":[0.00025774288,0.000031381205,0.16212228,0.000041929627,9.582268e-7,0.0000014421008,0.000027261962,0.7882337,0.048962742,0.00006969955,0.00014530664,0.00010556317],"about_ca_topic_score_codex":0.000041745552,"about_ca_topic_score_gemma":0.00013029849,"teacher_disagreement_score":0.21521449,"about_ca_system_score_codex":0.000059677317,"about_ca_system_score_gemma":0.0000020037144,"threshold_uncertainty_score":0.41443315},"labels":[],"label_agreement":null},{"id":"W2090495398","doi":"10.1109/comst.2014.2341600","title":"Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues","year":2014,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":444,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Ontario Ministry of Economic Development and Innovation","keywords":"Smart grid; Open research; Computer science; Grid; Energy (signal processing); Data science; Telecommunications; Distributed computing; World Wide Web; Geography; Engineering; Electrical engineering; Physics","score_opus":0.02744418565168577,"score_gpt":0.2915558814196621,"score_spread":0.26411169576797633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090495398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97627974,0.002241854,0.006341062,0.0021826439,0.0031378048,0.0011450098,0.00029172841,0.00021785162,0.008162295],"genre_scores_gemma":[0.9969249,0.0019971237,0.00046450802,0.0001449633,0.00008373758,0.000098582386,0.0002653047,0.00001017015,0.000010743857],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9960989,0.003058239,0.00042331195,0.00011272137,0.0001561303,0.00015070569],"domain_scores_gemma":[0.995586,0.002747217,0.00009568607,0.001429423,0.000096971235,0.000044702178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004971376,0.00014876484,0.00021470308,0.00015794451,0.00040328162,0.00039690267,0.0013004367,0.000078224555,0.000006327413],"category_scores_gemma":[0.00048279233,0.00012052554,0.000018383733,0.0003349282,0.0002207075,0.00047288788,0.00029531706,0.0003012353,0.000008413427],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002934464,0.0015226015,0.108642325,0.00032337976,0.0004604739,0.00000144394,0.10915128,0.16691956,0.004026468,0.21480145,0.1705665,0.2232911],"study_design_scores_gemma":[0.00059854746,0.000057237965,0.77013624,0.00011039502,0.000014987447,0.0000075579064,0.0005574762,0.045041207,0.0003424158,0.001642249,0.18116179,0.0003299081],"about_ca_topic_score_codex":0.007970294,"about_ca_topic_score_gemma":0.01806908,"teacher_disagreement_score":0.6614939,"about_ca_system_score_codex":0.000042472828,"about_ca_system_score_gemma":0.00002099165,"threshold_uncertainty_score":0.9998486},"labels":[],"label_agreement":null},{"id":"W2091055510","doi":"10.1007/s11235-013-9814-y","title":"Design and modeling of reliable networks (foreword)","year":2013,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Survivability; Computer science; Multicast; Reliability (semiconductor); Resilience (materials science); Anycast; Process (computing); Network planning and design; Operations research; Computer network; Telecommunications; Routing (electronic design automation); Engineering","score_opus":0.022330693506446772,"score_gpt":0.21604329662151792,"score_spread":0.19371260311507116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091055510","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18963684,0.014721569,0.7915794,0.000039147548,0.00026890746,0.0006025859,4.257024e-7,0.00023202016,0.002919097],"genre_scores_gemma":[0.9946059,0.0016111435,0.003641261,0.0000061804108,0.00002673452,0.00006229614,0.0000029615787,0.0000126250625,0.000030901392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994608,0.00004869605,0.0002412223,0.000064825246,0.00006597469,0.00011847462],"domain_scores_gemma":[0.9993821,0.00008220926,0.000035004596,0.00040631185,0.000057762445,0.000036655936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002475955,0.000068328554,0.00013039063,0.00004211692,0.00005611027,0.000031963296,0.0002086542,0.00007034903,0.0000087027565],"category_scores_gemma":[0.000007663508,0.00006382578,0.000013350273,0.00011343583,0.000026675158,0.00014946637,0.00003578497,0.00011677251,0.0000148094405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.3392945e-7,0.000004597358,0.00012033264,0.00004222221,0.000008101422,2.9311348e-8,0.0002178015,0.998077,0.0003848393,0.00027920646,0.0004749931,0.00039004537],"study_design_scores_gemma":[0.0000689214,0.0000096214635,0.00009583857,0.00006356871,0.0000032092887,0.0000040606787,0.00015859156,0.99898547,0.00011589741,0.0000741538,0.00035092936,0.000069726215],"about_ca_topic_score_codex":0.00019916598,"about_ca_topic_score_gemma":0.0000023468344,"teacher_disagreement_score":0.8049691,"about_ca_system_score_codex":0.000014799527,"about_ca_system_score_gemma":0.0000052355526,"threshold_uncertainty_score":0.26027396},"labels":[],"label_agreement":null},{"id":"W2091606112","doi":"10.1080/19361610.2010.484834","title":"An Examination of Alarm System Deterrence and Rational Choice Theory: The Need to Increase Risk","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Security Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Deterrence (psychology); ALARM; Rational choice theory (criminology); Computer security; Deterrence theory; Poison control; Risk analysis (engineering); Engineering; Computer science; Forensic engineering; Actuarial science; Psychology; Economics; Criminology; Business; Medical emergency; Medicine; Political science; Law","score_opus":0.01262249274969991,"score_gpt":0.2840693245666112,"score_spread":0.2714468318169113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091606112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717194,0.00008784551,0.0006844496,0.000060329538,0.00018105791,0.00024453012,0.000009496352,0.000016671438,0.0015436838],"genre_scores_gemma":[0.9992296,0.000052005224,0.00029922737,0.0000096421445,0.00038322769,0.000010824494,0.0000013671249,0.000011333774,0.000002776404],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99822,0.00026226384,0.00032844202,0.00011968252,0.00084651,0.00022306335],"domain_scores_gemma":[0.9981247,0.00091191847,0.00009656795,0.00024412751,0.00040980463,0.00021283879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006461548,0.00009556836,0.00017664989,0.00025450095,0.00020589329,0.00008551553,0.0004661984,0.000108055174,0.000017489072],"category_scores_gemma":[0.00037566424,0.00006724413,0.000029878867,0.0003859467,0.00020141156,0.00018845315,0.00006508474,0.0012510598,0.0000046318605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009821069,0.00047606602,0.0049367873,0.0006757096,0.00020658612,0.00003339582,0.03962583,0.010586263,0.76184475,0.14474478,0.00127217,0.034615524],"study_design_scores_gemma":[0.0042318404,0.0021927825,0.4400146,0.0004904226,0.00018255007,0.00054398883,0.032950237,0.26678145,0.21729115,0.024746079,0.009477357,0.001097534],"about_ca_topic_score_codex":0.000037434063,"about_ca_topic_score_gemma":0.00016636355,"teacher_disagreement_score":0.54455364,"about_ca_system_score_codex":0.00003750257,"about_ca_system_score_gemma":0.000069895636,"threshold_uncertainty_score":0.5435302},"labels":[],"label_agreement":null},{"id":"W2094163534","doi":"10.1049/iet-gtd.2013.0042","title":"Authenticated voltage control of partitioned power networks with optimal allocation of STATCOM using heuristic algorithm","year":2013,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Opal-Rt Technologies (Canada); Hydro-Québec","funders":"","keywords":"Heuristic; Computer science; Voltage; Mathematical optimization; Power (physics); Algorithm; Control (management); Control theory (sociology); Mathematics; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.007067449744199771,"score_gpt":0.19742207491777183,"score_spread":0.19035462517357207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094163534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2958553,0.00016458018,0.7034309,0.00003634986,0.00010831319,0.00026189984,0.00008665319,0.000050479928,0.0000055334194],"genre_scores_gemma":[0.9960686,0.000050906943,0.002931319,0.0000081205135,0.000050982846,0.000025214516,0.0008430511,0.000014846222,0.000006941616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989196,0.000050942184,0.0004395038,0.0001605357,0.00024267411,0.00018676237],"domain_scores_gemma":[0.99935776,0.000027622522,0.000104637285,0.00014787591,0.00027133405,0.00009078179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012741433,0.00014615367,0.00020614592,0.000043750533,0.0000923183,0.000026457703,0.00007270681,0.000114788425,0.00015641759],"category_scores_gemma":[0.000009416645,0.00012584361,0.000053902066,0.00023831421,0.000080991864,0.00023790666,0.0000034163725,0.00010335968,0.0000033236506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026976586,0.00008916732,0.00012274955,0.00004379648,0.000037733364,7.050577e-7,0.0001817386,0.7530591,0.24338815,0.00015877836,0.0003038363,0.0025872756],"study_design_scores_gemma":[0.000633747,0.00009279419,0.001769242,0.00005747861,0.00005110562,0.0000033372014,0.00004456667,0.8981255,0.098929614,0.00002223887,0.0001406613,0.00012971778],"about_ca_topic_score_codex":0.000032793254,"about_ca_topic_score_gemma":0.0000015672539,"teacher_disagreement_score":0.7004996,"about_ca_system_score_codex":0.000045508226,"about_ca_system_score_gemma":0.00003506563,"threshold_uncertainty_score":0.5131753},"labels":[],"label_agreement":null},{"id":"W2098377707","doi":"10.1109/tsg.2011.2105287","title":"An Event-Driven Demand Response Scheme for Power System Security Enhancement","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Demand response; Smart grid; Electric power system; Computer science; Load management; Event (particle physics); Dynamic demand; Key (lock); Power demand; Scheme (mathematics); Peak demand; Power (physics); Response time; Reliability engineering; On demand; Engineering; Computer security; Electricity; Electrical engineering; Power consumption","score_opus":0.014746338038468535,"score_gpt":0.23323029352769678,"score_spread":0.21848395548922825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098377707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4796338,0.000049247657,0.51604915,0.00001692912,0.0030821147,0.00043315924,0.00009666214,0.00034043196,0.00029847512],"genre_scores_gemma":[0.99785745,0.000029357108,0.0015712577,0.000039046794,0.00012262241,0.00025904994,0.000005021943,0.000043085176,0.0000731],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863505,0.000092038914,0.00032641148,0.00033075985,0.00021991687,0.00039579583],"domain_scores_gemma":[0.9991465,0.00008686984,0.000035979887,0.00046217837,0.00006956888,0.00019888584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003601675,0.000247638,0.000234699,0.00015571422,0.0002600988,0.00002985233,0.00024176187,0.00015687154,0.0001614307],"category_scores_gemma":[0.0000034774716,0.00024544215,0.00016189864,0.00017796189,0.000060105536,0.00026802736,0.0000010480121,0.00024921182,0.000120837554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015468483,0.005707186,0.0006348981,0.0026452865,0.0017577247,0.00019894882,0.0517451,0.330659,0.57288164,0.0016205672,0.013954658,0.002726495],"study_design_scores_gemma":[0.001803195,0.00152442,0.00090570806,0.0002624535,0.00011175806,0.00005083094,0.0012270175,0.17941521,0.8020558,0.00004748236,0.011681566,0.0009146105],"about_ca_topic_score_codex":0.000016093718,"about_ca_topic_score_gemma":0.000057414352,"teacher_disagreement_score":0.51822364,"about_ca_system_score_codex":0.00013859429,"about_ca_system_score_gemma":0.000036355093,"threshold_uncertainty_score":0.99999976},"labels":[],"label_agreement":null},{"id":"W2098551025","doi":"10.1109/lescpe.2007.4437393","title":"Computer Network Security Strategy for Coordinated Distribution System Operations","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer security; Network security; Computer security model; Authentication (law); Enterprise information security architecture; Electric power system; Distributed System Security Architecture; Smart grid; Network Access Control; Grid; Computer network; Security management; Network security policy; Security service; Architecture; Cloud computing security; Power (physics); Information security; Operating system; Engineering","score_opus":0.008813421834641929,"score_gpt":0.22418634389837522,"score_spread":0.2153729220637333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098551025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088357195,0.00009758374,0.90818596,0.000019566829,0.00091442885,0.00027201144,0.000038436887,0.00047838534,0.0016364387],"genre_scores_gemma":[0.9981273,0.0000045365664,0.0010315285,0.00001779762,0.0005949478,0.000011817926,0.00016841786,0.000008781214,0.000034883404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937046,0.000008698126,0.00017741311,0.0001080201,0.00006676256,0.00026867373],"domain_scores_gemma":[0.9997104,0.00005305297,0.00000733835,0.00009909876,0.0000623096,0.00006780483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025302093,0.00008902106,0.000100733356,0.000015254608,0.00014940648,0.000049908154,0.00008669755,0.00008438302,0.000011313701],"category_scores_gemma":[0.0000035310059,0.00008005287,0.0000391598,0.00016270395,0.000019666648,0.0000926396,0.00001231881,0.00008216334,0.000015494323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008606532,0.000016997312,0.00016401535,0.000106648666,0.000022775668,0.000003714844,0.00006868044,0.89882237,0.00009560513,0.07601715,0.02392684,0.00074658194],"study_design_scores_gemma":[0.00021632337,0.00003864018,0.0013469709,0.000025033098,0.000008157347,0.000009721615,0.00010470519,0.9903354,0.0010901375,0.00007464874,0.00661515,0.00013511349],"about_ca_topic_score_codex":0.000021288208,"about_ca_topic_score_gemma":0.00022594236,"teacher_disagreement_score":0.9097701,"about_ca_system_score_codex":0.00006771754,"about_ca_system_score_gemma":0.000008833036,"threshold_uncertainty_score":0.32644615},"labels":[],"label_agreement":null},{"id":"W2103877321","doi":"10.1109/pes.2005.1489503","title":"Remotely operable load break switch for distribution network","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Work (physics); Distribution (mathematics); Computer science; Voltage; Telecommunications; Engineering; Automotive engineering; Electrical engineering","score_opus":0.005094785181765508,"score_gpt":0.20164091518540037,"score_spread":0.19654613000363486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103877321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5807265,0.008358343,0.39882332,0.0006604342,0.0068573714,0.0008560551,0.00013840137,0.0021958007,0.0013837476],"genre_scores_gemma":[0.93397343,0.0008250123,0.056738142,0.00035026943,0.0063074683,0.00009847502,0.0000897029,0.00017138166,0.0014461097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978753,0.000013755554,0.00039386976,0.00037425433,0.00029721562,0.0010456392],"domain_scores_gemma":[0.99924725,0.000083136336,0.00004521234,0.00031895595,0.00009721531,0.00020823476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005218849,0.00037201066,0.00030952276,0.000018238366,0.00020474235,0.00009064707,0.00029710977,0.00027925443,0.000037826794],"category_scores_gemma":[0.000053714703,0.00039635602,0.00032847765,0.00024616523,0.00003407572,0.00023004448,0.000031804644,0.00036243725,0.00004774709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004652678,0.000017435235,0.00003177976,0.000058744365,0.000058500624,8.0740165e-7,0.00028566233,0.80358744,0.015035844,0.000113307775,0.18037456,0.00043129487],"study_design_scores_gemma":[0.00035344288,0.000020510219,0.00015059121,0.00007264529,0.000020558546,0.0000114393615,0.000015990869,0.634779,0.012773461,0.00001183074,0.35138202,0.000408528],"about_ca_topic_score_codex":0.000025873054,"about_ca_topic_score_gemma":0.000031060554,"teacher_disagreement_score":0.35324693,"about_ca_system_score_codex":0.00045311413,"about_ca_system_score_gemma":0.000050448736,"threshold_uncertainty_score":0.99984884},"labels":[],"label_agreement":null},{"id":"W2104701638","doi":"10.1109/pes.2007.386070","title":"Integrated Network Security Protocol Layer for Open-Access Power Distribution Systems","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Computer science; Protocol (science); Cryptographic protocol; Layer (electronics); Computer security; Cryptography","score_opus":0.018629189219656544,"score_gpt":0.29751838718148144,"score_spread":0.2788891979618249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104701638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3114753,0.0005086318,0.6330399,0.00005681211,0.009851621,0.041912064,0.00016996678,0.0018181507,0.0011675558],"genre_scores_gemma":[0.978536,0.000010179838,0.005823195,0.000071966904,0.0013218374,0.013961935,0.000075041724,0.00012759218,0.000072239294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976351,0.000027963586,0.0006024742,0.00042640782,0.00028385056,0.0010241633],"domain_scores_gemma":[0.9990195,0.0001806533,0.00009399988,0.00032078734,0.00017392274,0.0002111437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016165344,0.0004161159,0.00039838336,0.000034829085,0.00025823043,0.0005976107,0.0008672051,0.00031093173,0.0000123067275],"category_scores_gemma":[0.00008504837,0.0004100529,0.00024195095,0.0006023752,0.00003819959,0.00059931097,0.00016932793,0.00047388516,0.000006094815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033694414,0.0000402508,0.00044114303,0.00040699256,0.00012537854,0.0000054391107,0.0007077083,0.93737626,0.014567841,0.0006376306,0.045589052,0.000068599395],"study_design_scores_gemma":[0.0010497542,0.00007942559,0.00055325223,0.0004864451,0.000026131385,0.000017553073,0.00022802349,0.7954768,0.0235497,0.000043376418,0.17756246,0.0009270973],"about_ca_topic_score_codex":0.000070644484,"about_ca_topic_score_gemma":0.000012577427,"teacher_disagreement_score":0.6670607,"about_ca_system_score_codex":0.00031310966,"about_ca_system_score_gemma":0.000039440412,"threshold_uncertainty_score":0.99983513},"labels":[],"label_agreement":null},{"id":"W2114440979","doi":"10.1109/tsg.2011.2160661","title":"A Lightweight Message Authentication Scheme for Smart Grid Communications","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":460,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Message authentication code; Computer network; Session key; Smart grid; Authentication (law); Mutual authentication; Message broker; Key (lock); Communications security; Distributed computing; Scheme (mathematics); Key exchange; Computer security; Public-key cryptography; Cryptography; Engineering","score_opus":0.036824424735343995,"score_gpt":0.24062751747344352,"score_spread":0.20380309273809952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114440979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06155549,0.00068398786,0.9106107,0.0007632984,0.010933827,0.0016124622,0.0005552836,0.0016315684,0.0116533805],"genre_scores_gemma":[0.9863131,0.0005610364,0.011421192,0.00012294373,0.00026107152,0.00063281215,0.000046990546,0.00007304478,0.00056782615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865013,0.000048565773,0.00039756566,0.00030274843,0.0002065421,0.0003944535],"domain_scores_gemma":[0.998426,0.00016101294,0.00005085229,0.0010991967,0.0000988003,0.0001641205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002158546,0.00026504212,0.00024115574,0.00022473492,0.00047466077,0.00004119006,0.0005979965,0.00018019229,0.00021879513],"category_scores_gemma":[0.000007640901,0.00026569818,0.0002175903,0.00035576907,0.00016566183,0.00031193424,0.000003877747,0.000388492,0.00030318083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028970665,0.022366777,0.0041919574,0.0053396034,0.007814422,0.00009956989,0.12077384,0.03442261,0.35709542,0.05595646,0.27520227,0.11384],"study_design_scores_gemma":[0.0026564868,0.00052868493,0.003939258,0.00032857788,0.0004791828,0.00006593393,0.00061871257,0.14791735,0.46899185,0.0012869661,0.37128437,0.0019026594],"about_ca_topic_score_codex":0.000043960994,"about_ca_topic_score_gemma":0.00021327143,"teacher_disagreement_score":0.9247576,"about_ca_system_score_codex":0.00008113908,"about_ca_system_score_gemma":0.000036687907,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W2116550798","doi":"10.1109/ias.1989.96878","title":"Computer performance degradation due to their susceptibility to power supply disturbances","year":2003,"lang":"en","type":"article","venue":"Conference Record of the IEEE Industry Applications Society Annual Meeting","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Power (physics); Computer science; Relation (database); Software; Degradation (telecommunications); Electric power system; Reliability engineering; Database; Telecommunications; Operating system; Engineering","score_opus":0.014111614538443538,"score_gpt":0.22546816327936856,"score_spread":0.21135654874092502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116550798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96703845,0.000031457297,0.030152522,0.00039767553,0.0005200318,0.0006496552,0.00006157409,0.00009610567,0.0010524982],"genre_scores_gemma":[0.99223024,0.0000223534,0.007173882,0.00014993304,0.00013804677,0.00016630285,0.0000032503513,0.000015428579,0.00010053949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987789,0.000060897823,0.00035456556,0.00030203146,0.00019598557,0.00030761852],"domain_scores_gemma":[0.9989285,0.00013180307,0.00008542485,0.0005026828,0.00022413483,0.00012748482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039584146,0.00019303654,0.00021699745,0.000025250349,0.00030059012,0.000041409927,0.0005542461,0.00023871583,0.000030651412],"category_scores_gemma":[0.00004500354,0.00015482526,0.000118939635,0.00061658426,0.00012505363,0.00017245939,0.00006605107,0.0005401919,0.000019184827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067552195,0.0007192474,0.27729198,0.0011914303,0.0003545972,9.872946e-7,0.043743514,0.28385994,0.07223129,0.0044910777,0.06771169,0.24833672],"study_design_scores_gemma":[0.0008814118,0.000579044,0.1625293,0.0018489261,0.00010460594,0.000051296916,0.02666742,0.07736436,0.49423435,0.0012814205,0.2317432,0.00271464],"about_ca_topic_score_codex":0.000021133312,"about_ca_topic_score_gemma":0.000043396132,"teacher_disagreement_score":0.42200306,"about_ca_system_score_codex":0.00009088478,"about_ca_system_score_gemma":0.00007910567,"threshold_uncertainty_score":0.6313591},"labels":[],"label_agreement":null},{"id":"W2117692617","doi":"10.1109/trustcom.2011.88","title":"Dependable Context-Sensitive Services in Cyber Physical Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dependability; Cyber-physical system; Computer science; Context (archaeology); Computer security; Reliability (semiconductor); Trustworthiness; Service (business); Resource (disambiguation); Software engineering; Computer network; Operating system; Business","score_opus":0.010202273396830283,"score_gpt":0.18772085116610804,"score_spread":0.17751857776927776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117692617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93569326,0.0001302097,0.00019703941,0.000003701894,0.00033539173,0.00009065043,0.0000022016773,0.00014040837,0.06340715],"genre_scores_gemma":[0.99965835,0.000008929007,0.000039125116,0.000025152229,0.000074388096,0.0000072749567,0.000001103803,0.000009469543,0.00017623606],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954623,0.000013886984,0.000089271496,0.0001019762,0.00007478967,0.00017386196],"domain_scores_gemma":[0.9998114,0.000025293431,0.0000073245246,0.00009737459,0.000015849444,0.000042737418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044751967,0.0000817825,0.00012371177,0.000036888687,0.000017725459,0.000013408299,0.000079304984,0.000043832424,0.0000263422],"category_scores_gemma":[0.000001508488,0.00006697888,0.000022541057,0.00009192681,0.00001913958,0.00013888377,0.000017475295,0.000097570985,0.00021761059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036505752,0.0022620575,0.10686699,0.0042012054,0.00079860695,0.0027014657,0.35454002,0.13358739,0.09142395,0.28256503,0.0072149956,0.0134732425],"study_design_scores_gemma":[0.0010385077,0.00009074027,0.055422887,0.0003008422,0.00002312489,0.00007428596,0.01751969,0.7787231,0.14086704,0.00049414265,0.004608691,0.0008369517],"about_ca_topic_score_codex":0.0014550412,"about_ca_topic_score_gemma":0.0010433812,"teacher_disagreement_score":0.6451357,"about_ca_system_score_codex":0.00001742791,"about_ca_system_score_gemma":0.0000038269973,"threshold_uncertainty_score":0.27970165},"labels":[],"label_agreement":null},{"id":"W2119408558","doi":"10.1109/pes.2009.5276001","title":"Reliability and availability analysis of IEC 61850 based substation communication architectures","year":2009,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"IEC 61850; Connection-oriented Ethernet; Ethernet; Industrial Ethernet; Reliability (semiconductor); Ethernet over SDH; Computer science; Reliability block diagram; Embedded system; Local area network; Carrier Ethernet; Automation; Engineering; Computer network; Reliability engineering; Ethernet flow control; Power (physics); Fault tree analysis","score_opus":0.005991234928561174,"score_gpt":0.21909038440725126,"score_spread":0.21309914947869008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119408558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912025,0.0001837701,0.006923251,0.00011360226,0.000013824667,0.000080203274,0.0000057870484,0.00008483783,0.0013922398],"genre_scores_gemma":[0.99719805,0.00003101907,0.002699393,0.000040493815,0.0000034228217,0.0000018276173,0.000017059989,0.0000020548277,0.00000666997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99949217,0.00005307445,0.00018077237,0.000105204046,0.00009429229,0.00007447536],"domain_scores_gemma":[0.999372,0.00016805557,0.000022139597,0.00036283204,0.00004268511,0.000032304863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026159346,0.00006173124,0.00014006137,0.000114315735,0.000035171517,0.00000885141,0.00008699198,0.0000417931,0.00006006754],"category_scores_gemma":[0.00007516702,0.000052645613,0.000048960912,0.00042416208,0.00007709244,0.0000399139,0.000006508776,0.0000784205,8.2913664e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033182485,0.00011000101,0.05194443,0.000084423475,0.00008382799,2.0300847e-7,0.0013802997,0.9264915,0.009182854,0.00055228744,0.00010481168,0.01003218],"study_design_scores_gemma":[0.00006656995,0.000015689955,0.61856806,0.0000034241425,0.000056810753,8.520265e-8,0.000024456029,0.3756024,0.0050480436,0.00051207317,0.00005389901,0.000048487545],"about_ca_topic_score_codex":0.000076752694,"about_ca_topic_score_gemma":0.000329952,"teacher_disagreement_score":0.5666236,"about_ca_system_score_codex":0.000016769987,"about_ca_system_score_gemma":0.000006271028,"threshold_uncertainty_score":0.21468258},"labels":[],"label_agreement":null},{"id":"W2120391489","doi":"10.1109/tpwrd.2004.825125","title":"Impact of Difference of Feeder Impedances on the Performance of a Static Transfer Switch","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrical impedance; Terminal (telecommunication); Phase difference; Voltage drop; Voltage; Transfer (computing); Current (fluid); Electrical engineering; Engineering; Three-phase; Transfer function; Electronic engineering; Control theory (sociology); Computer science; Control (management); Telecommunications","score_opus":0.009608378092655714,"score_gpt":0.21393783037412323,"score_spread":0.2043294522814675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120391489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96433777,0.00009656606,0.034906156,0.000020033605,0.00024652455,0.00014793668,0.000065827466,0.000028133762,0.00015103756],"genre_scores_gemma":[0.9994811,0.00043451393,0.000031505813,0.000012625126,0.0000050313993,0.000009817195,3.717794e-7,0.000013342154,0.000011730449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991841,0.00001882086,0.00027777904,0.00011084716,0.00024227494,0.0001662106],"domain_scores_gemma":[0.9995003,0.00013842553,0.000028469563,0.00023578177,0.000059420192,0.000037614405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070950075,0.00014650387,0.00021692793,0.00011119061,0.00004957029,0.000004661389,0.00017890277,0.000060249225,0.00009378298],"category_scores_gemma":[0.0000017561912,0.000097120246,0.00018197852,0.00024227958,0.0001402522,0.00009362599,4.720955e-7,0.0002065923,0.000006199878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015534647,0.00027040872,0.00019302513,0.0001407594,0.00013944365,9.28273e-7,0.0030058885,0.9244387,0.070949234,0.000045750323,0.000011592384,0.0006489354],"study_design_scores_gemma":[0.0010523215,0.0021136901,0.031672213,0.0006039913,0.000085693886,0.00000904564,0.00047567592,0.022886822,0.94072264,0.000066383065,0.0000065014206,0.00030504263],"about_ca_topic_score_codex":0.00011428558,"about_ca_topic_score_gemma":0.000029573472,"teacher_disagreement_score":0.90155184,"about_ca_system_score_codex":0.000042565964,"about_ca_system_score_gemma":0.00005524352,"threshold_uncertainty_score":0.39604485},"labels":[],"label_agreement":null},{"id":"W2123504047","doi":"10.1109/pes.2009.5275787","title":"Evaluation of communication technologies for IEC 61850 based distribution automation system with distributed energy resources","year":2009,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"IEC 61850; Automation; Computer science; Process automation system; Distributed generation; Embedded system; Distributed computing; Engineering; Electrical engineering","score_opus":0.010173252860618313,"score_gpt":0.21993212307213994,"score_spread":0.20975887021152162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123504047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20467784,0.00044733894,0.79253745,0.00024436146,0.00003964757,0.00033982808,0.00009185364,0.0011600277,0.00046165148],"genre_scores_gemma":[0.9981461,0.000012073459,0.0011868752,0.0000031243226,0.000008743675,0.00006797228,0.00056821544,0.000005004478,0.0000018973444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992434,0.000051154635,0.00019385258,0.00009431428,0.00030845165,0.00010882982],"domain_scores_gemma":[0.9992704,0.000069196125,0.00006617211,0.00027862715,0.00030182063,0.000013825215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883576,0.000086677566,0.00011459732,0.000056086978,0.00008457444,0.000019029652,0.00014525242,0.00009493098,0.0000019321806],"category_scores_gemma":[0.00007882961,0.00006932934,0.000023610937,0.00025753072,0.0000449736,0.000116059164,0.0000064345236,0.00004312872,4.6683994e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006552761,0.00009194858,0.00015589602,0.00018962144,0.000047491165,2.0524564e-7,0.00016278263,0.9074083,0.005851183,0.034022056,0.001281127,0.05072389],"study_design_scores_gemma":[0.00044442993,0.00010466026,0.0035538408,0.00011964706,0.000054091655,0.0000013472958,0.00046240055,0.95013773,0.04410576,0.00030307416,0.00061972014,0.000093320516],"about_ca_topic_score_codex":0.000020758505,"about_ca_topic_score_gemma":0.00005200864,"teacher_disagreement_score":0.79346824,"about_ca_system_score_codex":0.00016917358,"about_ca_system_score_gemma":0.000023583145,"threshold_uncertainty_score":0.28271687},"labels":[],"label_agreement":null},{"id":"W2127195678","doi":"10.1109/jiot.2015.2408597","title":"Investigating Public-Key Certificate Revocation in Smart Grid","year":2015,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"National Science Foundation","keywords":"Revocation list; Computer science; Certificate; Public key certificate; Revocation; Root certificate; Certificate authority; Public-key cryptography; Computer security; Computer network; Smart grid; Overhead (engineering); Public key infrastructure; Cryptography; Encryption; Engineering; Theoretical computer science; Operating system","score_opus":0.08822563848736104,"score_gpt":0.2597184541603725,"score_spread":0.17149281567301145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127195678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890882,0.0003815145,0.0039303377,0.0006628724,0.0032442547,0.000056104553,7.291398e-7,0.000062791034,0.002573243],"genre_scores_gemma":[0.9977132,0.000048475806,0.001741869,0.00009978146,0.00030245743,0.0000023568198,0.0000014882019,0.00001635964,0.000074014635],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988304,0.00005427187,0.0004919185,0.000105975705,0.000288447,0.00022898614],"domain_scores_gemma":[0.9993765,0.00003965167,0.00013667098,0.00012195963,0.00013230507,0.00019293562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009284008,0.00011143048,0.00017000193,0.00021514828,0.000022726985,0.0001015839,0.0003569964,0.000083294864,0.000017461258],"category_scores_gemma":[0.00034974518,0.00010287487,0.0000528174,0.00020121004,0.0000708007,0.00073005777,0.000027444523,0.0005627666,0.00002864991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001155048,0.00046227677,0.18471622,0.00086640083,0.00037151726,0.00022657373,0.1805323,0.10659065,0.21853757,0.0033298447,0.275668,0.028583137],"study_design_scores_gemma":[0.002503178,0.00037304973,0.015360939,0.002418245,0.00004291388,0.00160303,0.00299608,0.62442786,0.2981476,0.011759554,0.039204165,0.0011633853],"about_ca_topic_score_codex":0.000101319936,"about_ca_topic_score_gemma":0.000030082396,"teacher_disagreement_score":0.5178372,"about_ca_system_score_codex":0.00012875529,"about_ca_system_score_gemma":0.00005483132,"threshold_uncertainty_score":0.41951153},"labels":[],"label_agreement":null},{"id":"W2133109179","doi":"10.1016/j.automatica.2007.04.019","title":"A graph-theoretic method to find decentralized fixed modes of LTI systems","year":2007,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Directed graph; Linear system; LTI system theory; Decentralised system; Gramian matrix; Control theory (sociology); Topology (electrical circuits); Discrete mathematics; Computer science; Combinatorics; Control (management); Eigenvalues and eigenvectors","score_opus":0.00704122624492035,"score_gpt":0.2556290112818025,"score_spread":0.24858778503688214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133109179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5846191,0.0005057496,0.41113088,0.00003917313,0.00030285024,0.00031315765,0.0000069200055,0.00031252363,0.0027696404],"genre_scores_gemma":[0.9620926,0.000023263236,0.037765197,0.000022330112,0.000026487247,0.00001233374,0.0000015236095,0.000017909857,0.000038359336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998979,0.000047204307,0.00033798622,0.00012187042,0.00020271177,0.0003112276],"domain_scores_gemma":[0.9992492,0.000314154,0.000031018182,0.00024340523,0.000032034084,0.00013018733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053316134,0.00012243583,0.0002529469,0.00013597099,0.00003362413,0.000018397197,0.00018708303,0.00007988215,0.000044599114],"category_scores_gemma":[0.00007850179,0.00010748502,0.00006514768,0.0003395753,0.000045348195,0.000048208345,0.000022384524,0.00008015232,0.000041037692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012814434,0.00028413328,0.001172312,0.0036793856,0.00043917308,0.00007666308,0.015053048,0.38322502,0.3578033,0.21438682,0.006672714,0.017079309],"study_design_scores_gemma":[0.0007029189,0.00010522707,0.008776123,0.00043903955,0.00007633174,0.00003956381,0.0007438347,0.8517086,0.13143682,0.0034530647,0.002046781,0.0004716865],"about_ca_topic_score_codex":0.000018907886,"about_ca_topic_score_gemma":0.000005196511,"teacher_disagreement_score":0.4684836,"about_ca_system_score_codex":0.00002346816,"about_ca_system_score_gemma":0.000010757026,"threshold_uncertainty_score":0.4383112},"labels":[],"label_agreement":null},{"id":"W2135020689","doi":"","title":"From a Barrier to a Bridge: Data-Privacy in Deregulated Smart Grids","year":2012,"lang":"en","type":"article","venue":"ERef Bayreuth (University of Bayreuth)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Smart meter; Smart grid; Computer security; Electricity; Computer science; Encryption; Information privacy; Renewable energy; Key (lock); Big data; Single point of failure; Metering mode; Electricity meter; Environmental economics; Telecommunications; Engineering; Computer network; Power (physics); Electrical engineering","score_opus":0.025082576559253566,"score_gpt":0.21968932097080868,"score_spread":0.19460674441155512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135020689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925862,0.00072751014,0.0029553645,0.00026122373,0.0008562099,0.00025733822,0.00042981116,0.00021881115,0.0017075377],"genre_scores_gemma":[0.99633795,0.00008560396,0.0027621903,0.000071956565,0.00023473843,6.004972e-7,0.00018025668,0.000033704848,0.00029302743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982665,0.00007884371,0.00024616125,0.0004251273,0.00032935984,0.00065398467],"domain_scores_gemma":[0.9982174,0.00010198237,0.000055466953,0.0011364643,0.000050028655,0.00043864586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003244052,0.0002663245,0.0004232853,0.00033801328,0.0001231786,0.000021046028,0.0012551016,0.00023016361,0.0007036189],"category_scores_gemma":[0.00006368939,0.00033160934,0.00008508734,0.0007277752,0.00012233199,0.00095794414,0.00066697923,0.00036996228,0.00040035052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013151347,0.0020048474,0.3783886,0.0010815414,0.0016416886,0.0006225464,0.2645387,0.014484537,0.053039838,0.0020618795,0.20514962,0.075671054],"study_design_scores_gemma":[0.0019367052,0.00007301156,0.8323148,0.00024740415,0.000118687545,0.000015371736,0.0044464585,0.018999198,0.0014185222,0.00020728962,0.13922526,0.000997279],"about_ca_topic_score_codex":0.0028215384,"about_ca_topic_score_gemma":0.0013322578,"teacher_disagreement_score":0.45392618,"about_ca_system_score_codex":0.00012064747,"about_ca_system_score_gemma":0.000051757055,"threshold_uncertainty_score":0.9999136},"labels":[],"label_agreement":null},{"id":"W2135565223","doi":"10.1109/ccece.2011.6030713","title":"Interdependent infrastructure modelling: Intergration of domestic water models","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canarie","keywords":"Interdependence; Reliability (semiconductor); Computer science; Critical infrastructure; Water supply; Environmental science; Reliability engineering; Engineering; Environmental engineering; Computer security","score_opus":0.017820046277792233,"score_gpt":0.18673437800692474,"score_spread":0.1689143317291325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135565223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3919955,0.000026674647,0.58930284,0.0000035171995,0.00026286987,0.00004275489,8.8972774e-7,0.000081273516,0.018283706],"genre_scores_gemma":[0.9970034,0.000026522552,0.0028606178,0.000009460364,0.000026082937,0.000002551715,0.0000034914808,0.00001003362,0.000057885267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995498,0.000008732296,0.00016506511,0.0000793151,0.00007966849,0.00011739171],"domain_scores_gemma":[0.99980265,0.000004704974,0.000009197133,0.00012485434,0.000024782408,0.000033807653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005138486,0.00008009839,0.00008630334,0.0000583802,0.000013047272,0.0000061441037,0.00012085164,0.000048174268,0.00019764208],"category_scores_gemma":[0.0000011012351,0.000052596693,0.000034839108,0.0000325131,0.000024591123,0.0001597155,0.000030670057,0.00008784251,0.000019477628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000078139965,0.000012421968,0.000045849745,0.000041785748,0.000015651973,0.0000027580966,0.007209405,0.9857103,0.0038157029,0.0025478771,0.00012528655,0.00046509434],"study_design_scores_gemma":[0.00008801546,0.00002327575,0.00006327252,0.000017307768,0.0000060528314,0.0000074420964,0.00013541091,0.91138566,0.07417092,0.013971089,0.000048177862,0.00008338114],"about_ca_topic_score_codex":0.000020754846,"about_ca_topic_score_gemma":0.000011882744,"teacher_disagreement_score":0.6050078,"about_ca_system_score_codex":0.000012789281,"about_ca_system_score_gemma":0.000002534437,"threshold_uncertainty_score":0.2164042},"labels":[],"label_agreement":null},{"id":"W2135759485","doi":"10.1109/ests.2009.4906538","title":"Designing microprocessor-based protection hardware for ultra-critical applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Dependability; Microprocessor; Computer science; Context (archaeology); Embedded system; Critical infrastructure; Computer security; Software engineering","score_opus":0.01430966346422085,"score_gpt":0.244252628785986,"score_spread":0.22994296532176514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135759485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021167097,0.00011503766,0.9949251,0.00042829238,0.000067273875,0.00051640254,0.0000050041394,0.0004302376,0.0013959637],"genre_scores_gemma":[0.97801477,0.0000037636603,0.021339262,0.00014961678,0.00013304767,0.000302858,0.000005965696,0.00000964406,0.000041086845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953926,0.000003871178,0.00010012765,0.0001232698,0.000062811574,0.00017066034],"domain_scores_gemma":[0.99974924,0.000050968396,0.0000059155423,0.00009294076,0.00005162934,0.00004931276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055075765,0.000076095326,0.00006755388,0.00004148192,0.00012137218,0.000031313895,0.00007653595,0.00006181019,0.000015159416],"category_scores_gemma":[0.00003697922,0.00007182218,0.000037215075,0.00012693169,0.000022446498,0.000074294716,9.3980793e-7,0.00008257408,0.00001782626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019588953,0.00008905561,0.000027258542,0.00032726498,0.00000742423,8.5515603e-7,0.00012148799,0.027609438,0.9460925,0.0032983464,0.0014079752,0.020998832],"study_design_scores_gemma":[0.00023182061,0.00007996934,0.00013338466,0.00002974771,0.000010852853,0.000005179858,0.00006007806,0.044772502,0.9370598,0.0015119,0.01591232,0.00019239481],"about_ca_topic_score_codex":0.0000013301742,"about_ca_topic_score_gemma":0.0000019720856,"teacher_disagreement_score":0.975898,"about_ca_system_score_codex":0.000021841815,"about_ca_system_score_gemma":0.000013371955,"threshold_uncertainty_score":0.29288235},"labels":[],"label_agreement":null},{"id":"W2135779976","doi":"10.1109/tcst.2010.2061847","title":"Evaluation of Foundation Fieldbus H1 Networks for Steam Generator Level Control","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"University Network of Excellence in Nuclear Engineering","keywords":"FOUNDATION fieldbus; Fieldbus; Foundation (evidence); Engineering; Boiler (water heating); Control engineering; Generator (circuit theory); Control (management); Control system; Computer science; Electrical engineering; Power (physics); Physics; Waste management","score_opus":0.018124124817472793,"score_gpt":0.24390893347843445,"score_spread":0.22578480866096165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135779976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115957685,0.00030001736,0.87658715,0.00012969281,0.005269194,0.0013244579,0.0000615554,0.00029920365,0.000071051734],"genre_scores_gemma":[0.9986021,0.000020552228,0.00016477353,0.000019944431,0.00021459677,0.00092646456,0.0000027666758,0.000025138266,0.000023656541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879247,0.000060551254,0.00040370648,0.00021154084,0.00027692827,0.0002547832],"domain_scores_gemma":[0.9988786,0.0002028859,0.000088177396,0.00035290944,0.00043423052,0.0000432165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078778673,0.00016484075,0.0003222477,0.0002903465,0.00013106453,0.000020415226,0.00018862801,0.0005274993,0.00002336143],"category_scores_gemma":[0.000042016924,0.00016170651,0.00009797027,0.0001912124,0.0000864704,0.000097398886,3.9890537e-7,0.0004088228,0.000008751792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004012075,0.000057374546,0.000020056132,0.000042251275,0.00016912249,3.382458e-7,0.000026587111,0.8805767,0.0823993,0.00060491153,0.00009999198,0.03596319],"study_design_scores_gemma":[0.0030777492,0.00014805389,0.000037558675,0.000026893951,0.00022225792,0.0000139542835,0.000054503573,0.9762207,0.019001137,0.00011608704,0.0009236326,0.00015747],"about_ca_topic_score_codex":0.000025299049,"about_ca_topic_score_gemma":0.00050964084,"teacher_disagreement_score":0.8826444,"about_ca_system_score_codex":0.00006825912,"about_ca_system_score_gemma":0.000060855218,"threshold_uncertainty_score":0.65942},"labels":[],"label_agreement":null},{"id":"W2137152485","doi":"10.1109/psce.2009.4840228","title":"Testing IEC 61850 based multi-vendor substation automation systems for interoperability","year":2009,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"IEC 61850; Interoperability; Automation; Computer science; Systems engineering; Engineering; Software engineering; Operating system","score_opus":0.030017462030842202,"score_gpt":0.2500941935747391,"score_spread":0.2200767315438969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137152485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5876971,0.00009417851,0.41019613,0.000046385136,0.0004703643,0.00042334726,0.0000063285843,0.00066192856,0.00040427598],"genre_scores_gemma":[0.9857921,0.0000012991921,0.014013291,0.000037498037,0.000068717265,0.000032063977,0.000015836331,0.000008221441,0.000030973097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994171,0.000019408017,0.00020260662,0.00012747128,0.00008133672,0.00015202648],"domain_scores_gemma":[0.9995992,0.00014013388,0.000020856234,0.000119737255,0.000080008314,0.000040050247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018560486,0.000088663,0.000099354154,0.000047454083,0.00006510957,0.00004834911,0.00007207713,0.000049642556,0.0000070855544],"category_scores_gemma":[0.00017035664,0.00007708754,0.000031481544,0.00012466148,0.00001174206,0.00016042331,0.000002582534,0.000057292946,0.000012192704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021785623,0.00014418857,0.0032472739,0.0005559132,0.000013290915,0.000001895459,0.00088475767,0.9167082,0.05785005,0.00059476064,0.0009975515,0.018980348],"study_design_scores_gemma":[0.00033713438,0.00005359847,0.02696483,0.000044345354,0.0000043733517,0.0000014965343,0.00008015865,0.9666465,0.005520519,0.000018567434,0.00022891993,0.00009959012],"about_ca_topic_score_codex":0.0000326518,"about_ca_topic_score_gemma":0.000022909584,"teacher_disagreement_score":0.39809504,"about_ca_system_score_codex":0.00006515826,"about_ca_system_score_gemma":0.000012072394,"threshold_uncertainty_score":0.31435385},"labels":[],"label_agreement":null},{"id":"W2139593482","doi":"10.1109/lescpe.2006.280365","title":"Adapting the Pretty Good Privacy Security Style to Power System Distributed Network Protocol","year":2006,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer security; Computer network; Authentication (law); Network security; Encryption","score_opus":0.0047534423932144056,"score_gpt":0.20449781766281827,"score_spread":0.19974437526960387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139593482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40879536,0.00022667932,0.15584283,0.0012291106,0.0025974095,0.23672558,0.00016713353,0.0070991977,0.1873167],"genre_scores_gemma":[0.98319954,1.6816179e-7,0.0005214101,0.000039535113,0.00048010424,0.015624207,0.0000075486987,0.000023408642,0.00010409627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870324,0.000055232063,0.00030179444,0.00021499168,0.00024608767,0.0004786524],"domain_scores_gemma":[0.99934083,0.00008488349,0.000034120043,0.00040830357,0.000042875505,0.000088962544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030138495,0.00018808423,0.00016894111,0.000020586851,0.00022294567,0.00009956927,0.0003617427,0.00009201501,0.000043308166],"category_scores_gemma":[0.000022602633,0.0001251868,0.00006686722,0.00039907364,0.000028407982,0.00010812096,0.00011268392,0.00023365671,0.0000758252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009285318,0.00018501058,0.01362718,0.0008684149,0.000108273125,0.000038311824,0.0020894597,0.7009307,0.0012891823,0.067023344,0.21344422,0.00030303045],"study_design_scores_gemma":[0.0010943583,0.00020670124,0.036146887,0.00049767917,0.000032881515,0.000060368813,0.0011167083,0.23543584,0.003953999,0.0005341534,0.7198104,0.0011099934],"about_ca_topic_score_codex":0.000077755045,"about_ca_topic_score_gemma":0.00013637957,"teacher_disagreement_score":0.5744042,"about_ca_system_score_codex":0.00009581266,"about_ca_system_score_gemma":0.000016352098,"threshold_uncertainty_score":0.5104969},"labels":[],"label_agreement":null},{"id":"W2143274678","doi":"10.1109/tr.2014.2315953","title":"Dependable Fiber-Wireless (FiWi) Access Networks and Their Role in a Sustainable Third Industrial Revolution Economy","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Survivability; Telecommunications; Computer science; Engineering; Computer network","score_opus":0.007457525543491208,"score_gpt":0.19983375852856977,"score_spread":0.19237623298507855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143274678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8360593,0.00013183156,0.15826683,0.00010421845,0.00058903074,0.0005102381,0.0000081699,0.00022616684,0.0041042296],"genre_scores_gemma":[0.99947035,0.000087135835,0.0000305799,0.00002548111,0.00010210968,0.00008658101,0.000002070811,0.000015709771,0.00017998047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987439,0.00011525287,0.0003010318,0.00034654714,0.00007536548,0.0004178989],"domain_scores_gemma":[0.99924093,0.0002217545,0.00003062681,0.0003553805,0.000041235944,0.00011004406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058305153,0.00020080259,0.00026000265,0.00012601021,0.00018785913,0.00008550239,0.00020175772,0.00028266208,0.000038163966],"category_scores_gemma":[0.000014733646,0.00018665509,0.00006955881,0.00033144187,0.0000974632,0.00050125486,0.0000034918983,0.0006601925,0.0000073430188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006722489,0.000110235,0.0007136663,0.00008123818,0.000012547711,0.000001366046,0.0002639338,0.98725086,0.000046902598,0.00008478427,0.00030104385,0.01106621],"study_design_scores_gemma":[0.0011002383,0.00010912001,0.0029770872,0.000063645064,0.000018339279,0.000007848187,0.00036821087,0.97491926,0.007706143,0.0017735126,0.010541513,0.00041509233],"about_ca_topic_score_codex":0.0006250806,"about_ca_topic_score_gemma":0.00038946458,"teacher_disagreement_score":0.16341107,"about_ca_system_score_codex":0.00021005192,"about_ca_system_score_gemma":0.000037930356,"threshold_uncertainty_score":0.76115733},"labels":[],"label_agreement":null},{"id":"W2145219340","doi":"10.1109/pes.2007.386185","title":"Security Operation Modes for Enhancement of Utility Computer Network Cyber-Security","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Encryption; Computer science; Computer security; Vulnerability (computing); Computer network; Cryptanalysis; Frame (networking); Data security; Reliability (semiconductor); Data link layer; Network security; Physical layer; Power (physics); Telecommunications","score_opus":0.007073307305304138,"score_gpt":0.22115852865321353,"score_spread":0.2140852213479094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145219340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5681636,0.00044748563,0.42914343,0.000012269784,0.0015625068,0.00025489175,0.000009556845,0.00018979248,0.00021646729],"genre_scores_gemma":[0.9536456,0.00007629931,0.044968758,0.00005143523,0.0011666005,0.00002549778,0.000015264402,0.000043056367,0.0000075019343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817693,0.000016411659,0.0005503007,0.000316429,0.00027416318,0.0006657668],"domain_scores_gemma":[0.99925786,0.00019109016,0.00006578947,0.00025402912,0.000109360066,0.00012186859],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013166872,0.00028999892,0.000338053,0.000032715136,0.00013507056,0.000037324186,0.00021310906,0.00020516368,0.000009563613],"category_scores_gemma":[0.000024760218,0.00031355728,0.00028722183,0.00021250742,0.000047931197,0.00016608828,0.000044112443,0.0002763389,0.0000020491177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011148946,0.00004618066,0.00038422883,0.00034790314,0.00010321132,9.0785505e-7,0.0023836414,0.90986556,0.082749255,0.00041182822,0.0032657594,0.0004303497],"study_design_scores_gemma":[0.0002624714,0.00004271248,0.0003689324,0.00009261913,0.000016184173,0.0000018700116,0.000060012575,0.769936,0.22721134,0.00007562067,0.001644752,0.00028744288],"about_ca_topic_score_codex":0.00001737542,"about_ca_topic_score_gemma":0.000017321016,"teacher_disagreement_score":0.38548198,"about_ca_system_score_codex":0.00010559508,"about_ca_system_score_gemma":0.000017906712,"threshold_uncertainty_score":0.99993163},"labels":[],"label_agreement":null},{"id":"W2149850265","doi":"10.1109/pes.2008.4596922","title":"Network-enabled Real-time monitoring and controls of smart power distribution systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Architecture; Node (physics); Fault (geology); Embedded system; Network architecture; Electronic circuit; Real-time computing; Engineering; Electrical engineering; Computer network","score_opus":0.006824272569947407,"score_gpt":0.1876602805120684,"score_spread":0.18083600794212099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149850265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918482,0.0009733518,0.0013841543,0.000008700223,0.0006082388,0.00014236703,0.000008332505,0.00016801922,0.004858654],"genre_scores_gemma":[0.99906045,0.00044616082,0.000053513915,0.0000012365167,0.0001579336,0.0000070263245,0.0000045997726,0.000008241112,0.00026080667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99941367,0.000017155848,0.00017727539,0.00009055833,0.000106498905,0.0001948567],"domain_scores_gemma":[0.9997087,0.00006549049,0.000021495454,0.000112690024,0.000033711618,0.00005787389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106079664,0.0000853775,0.0001810856,0.000015629936,0.000067084744,0.000011497553,0.00005213982,0.00006658611,0.000013176514],"category_scores_gemma":[0.000012500994,0.00007402692,0.000023188917,0.00009527619,0.000043906024,0.00009296802,0.000015235332,0.000065442044,0.00001106048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023084856,0.00015288075,0.2568633,0.00071219995,0.00037809563,0.00013687041,0.001759569,0.5018906,0.17918544,0.009766333,0.048605453,0.00031839366],"study_design_scores_gemma":[0.004777823,0.0006550934,0.49067414,0.0009671088,0.00012641294,0.00046049323,0.0007146132,0.4308419,0.047199827,0.0002631155,0.021501996,0.0018174776],"about_ca_topic_score_codex":0.00007199097,"about_ca_topic_score_gemma":9.753835e-7,"teacher_disagreement_score":0.23381083,"about_ca_system_score_codex":0.000021747563,"about_ca_system_score_gemma":0.000006782503,"threshold_uncertainty_score":0.301873},"labels":[],"label_agreement":null},{"id":"W2152543840","doi":"10.1109/tpwrd.2010.2043122","title":"Security Analysis and Auditing of IEC61850-Based Automated Substations","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kinectrics (Canada); Western University","funders":"","keywords":"Audit; Metric (unit); Network security; Computer science; Information security audit; Computer security; Scheme (mathematics); Computer security model; Network Access Control; Security service; Information security; Network security policy; Engineering; Cloud computing security; Accounting; Mathematics","score_opus":0.0037534921206392865,"score_gpt":0.20120234191621506,"score_spread":0.19744884979557578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152543840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8504793,0.000026844838,0.14813912,0.000023862834,0.0005086126,0.00007215395,0.00010473146,0.00041295102,0.00023238696],"genre_scores_gemma":[0.99924266,0.00003029405,0.00065240957,0.000028328615,0.000009344527,0.000009639171,0.0000054675393,0.000013449614,0.000008416844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992902,0.000020598254,0.00021368507,0.000159471,0.00015242184,0.00016356801],"domain_scores_gemma":[0.9994407,0.00016471288,0.00003367073,0.00020764502,0.000071383685,0.00008183654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094000454,0.00012444827,0.00017756637,0.0003897893,0.00012378198,0.00002029866,0.00008517976,0.00010634474,0.00018412808],"category_scores_gemma":[0.0000049053415,0.00013042029,0.00012234953,0.00070702296,0.000107251755,0.00012938784,5.0042377e-7,0.00031153444,0.000010964878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003983666,0.00030894886,0.0010827526,0.00012213283,0.0007579361,0.000014931403,0.002061815,0.884767,0.109172575,0.00006244223,0.00032615202,0.0012834773],"study_design_scores_gemma":[0.00035216816,0.000047159603,0.008643345,0.000021265234,0.00032912177,0.000004586068,0.00014205361,0.83119893,0.15884794,0.000024732899,0.00014850656,0.00024021682],"about_ca_topic_score_codex":0.000069545,"about_ca_topic_score_gemma":0.00072456093,"teacher_disagreement_score":0.14876331,"about_ca_system_score_codex":0.00001480942,"about_ca_system_score_gemma":0.000022917895,"threshold_uncertainty_score":0.53183854},"labels":[],"label_agreement":null},{"id":"W2152845598","doi":"10.1109/glocom.2012.6503232","title":"EDR: An efficient demand response scheme for achieving forward secrecy in smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Smart grid; Demand response; Computer science; Homomorphic encryption; Encryption; Secrecy; Overhead (engineering); Computer security; Cryptography; Grid; Forward secrecy; Load management; Distributed computing; Electricity; Computer network; Public-key cryptography; Engineering","score_opus":0.011674331095892823,"score_gpt":0.24509837036523927,"score_spread":0.23342403926934643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152845598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744753,0.000465525,0.022871483,0.000070641196,0.00091343606,0.0002837111,0.000006498991,0.00018240683,0.0007309937],"genre_scores_gemma":[0.9952262,0.00001600433,0.004211503,0.00006158721,0.00031351755,0.000044369393,0.00000656807,0.0000234604,0.0000967619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989978,0.000048815156,0.00019919113,0.00014764909,0.00012089628,0.0004856608],"domain_scores_gemma":[0.99939096,0.00020429386,0.000013606574,0.00020748292,0.000017636012,0.00016600103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093953795,0.00013515881,0.00015071407,0.0001254099,0.00007383247,0.000025914513,0.00014132164,0.00009416762,0.000042716503],"category_scores_gemma":[0.00012123178,0.00011996761,0.000055064054,0.00016507455,0.000025259094,0.00021445859,0.000032366293,0.00013678508,0.000031529507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030768116,0.0015420095,0.26452124,0.0012322743,0.00016144715,0.000024267774,0.023218606,0.4542105,0.22254513,0.012354544,0.011053853,0.0060592927],"study_design_scores_gemma":[0.0020220063,0.00027381873,0.20026977,0.00014952195,0.000025114128,0.000034798137,0.0012148042,0.68078613,0.043304104,0.00008459685,0.07083113,0.0010041697],"about_ca_topic_score_codex":0.000010189208,"about_ca_topic_score_gemma":0.000053504507,"teacher_disagreement_score":0.22657566,"about_ca_system_score_codex":0.000058675276,"about_ca_system_score_gemma":0.000014704458,"threshold_uncertainty_score":0.48921373},"labels":[],"label_agreement":null},{"id":"W2152951740","doi":"10.1109/ccece.2003.1226448","title":"The role of asymmetric operation in enhancing the flexibility of power system operation","year":2004,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Flexibility (engineering); Compensation (psychology); Computer science; Yesterday; Reliability engineering; Electric power system; Power (physics); Fault (geology); Control engineering; Engineering","score_opus":0.0035643506522438874,"score_gpt":0.19566482696913506,"score_spread":0.19210047631689117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152951740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866223,0.00077944214,0.005497996,0.000041574443,0.00018439544,0.00019388969,8.7444874e-7,0.00002969749,0.0066498583],"genre_scores_gemma":[0.99983686,0.000027574213,0.00009522258,0.0000044917806,0.000016545046,0.0000070771184,5.9709765e-7,0.0000036749032,0.000007982735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943405,0.00003138755,0.0002583969,0.00006644344,0.00012466413,0.00008508163],"domain_scores_gemma":[0.9996816,0.00007923924,0.000019761175,0.00017520557,0.000033200526,0.000010996214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048304687,0.000049626204,0.00008044372,0.000042618332,0.000058490627,0.000015612108,0.00011673418,0.000037221893,0.0000043489267],"category_scores_gemma":[0.00004937124,0.000026563683,0.000024021496,0.0002602298,0.000031357547,0.00009588338,0.000014811478,0.000074358075,0.000004935729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008553506,0.000029671051,0.0008990312,0.000065046355,0.000009892765,2.5248707e-7,0.0024747532,0.87681234,0.07248811,0.045699984,0.0000060491698,0.0015063256],"study_design_scores_gemma":[0.00020886502,0.00003874485,0.01153013,0.000052848285,0.0000037636858,0.0000022897193,0.0045901285,0.096784994,0.88641244,0.00019854461,0.00010997028,0.00006730942],"about_ca_topic_score_codex":0.00023753078,"about_ca_topic_score_gemma":0.0008756572,"teacher_disagreement_score":0.8139243,"about_ca_system_score_codex":0.00006664898,"about_ca_system_score_gemma":0.000024146108,"threshold_uncertainty_score":0.10832355},"labels":[],"label_agreement":null},{"id":"W2154293313","doi":"10.22215/timreview/702","title":"Security Challenges in Smart-Grid Metering and Control Systems","year":2013,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart grid; Metering mode; Computer science; Grid; Reliability (semiconductor); Electricity; Computer security; Control (management); Telecommunications; Distributed computing; Power (physics); Electrical engineering; Engineering","score_opus":0.017874344900799907,"score_gpt":0.22825086445734,"score_spread":0.21037651955654008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154293313","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21343519,0.7576155,0.0022166683,0.009277103,0.0009541424,0.0037317507,0.0000037569516,0.0014930062,0.011272877],"genre_scores_gemma":[0.74819404,0.25106516,0.000110918714,0.00015714038,0.000019704248,0.0004271442,0.0000031581155,0.000009750828,0.000012970511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991155,0.000021091942,0.0003894958,0.00018875756,0.00008932463,0.00019582445],"domain_scores_gemma":[0.9996195,0.000014907327,0.00005326906,0.0002517362,0.000047527465,0.000013072685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035704242,0.00013227994,0.00027415896,0.00051671563,0.000027886954,0.000019419553,0.00015553847,0.00009450576,0.000021687047],"category_scores_gemma":[0.000024402363,0.00012341718,0.000012601914,0.0010316845,0.000049571627,0.00016077617,0.000060053186,0.00018053332,0.000055276436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020178377,0.000076813776,0.005496223,0.046002433,0.00025512467,0.000047224356,0.000114366274,0.0005795,0.0009902121,0.5992829,0.00694729,0.3402059],"study_design_scores_gemma":[0.0029163503,0.00016886131,0.027064951,0.02038942,0.0002177281,0.00014112367,0.0013649855,0.038099516,0.00055622985,0.021140162,0.88603526,0.0019054246],"about_ca_topic_score_codex":0.0000061569526,"about_ca_topic_score_gemma":0.000004431274,"teacher_disagreement_score":0.879088,"about_ca_system_score_codex":0.000031638217,"about_ca_system_score_gemma":0.0000015715309,"threshold_uncertainty_score":0.50328064},"labels":[],"label_agreement":null},{"id":"W2160104570","doi":"10.1109/icassp.2011.5946886","title":"Smart meter privacy using a rechargeable battery: Minimizing the rate of information leakage","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Battery (electricity); Smart meter; Computation; Information leakage; Leakage (economics); Real-time computing; Extension (predicate logic); Algorithm; Smart grid; Electrical engineering; Engineering; Computer security","score_opus":0.03809977120288463,"score_gpt":0.20648400419964552,"score_spread":0.1683842329967609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160104570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94142115,0.00005415417,0.04183554,0.000039573773,0.0004555014,0.00015004337,0.0000024884127,0.00010816985,0.015933398],"genre_scores_gemma":[0.9939138,0.000023353487,0.005829198,0.00014534703,0.000024590774,0.0000041870167,0.0000016421346,0.0000073910132,0.000050444363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99950635,0.00002369976,0.00020387748,0.000049356906,0.000066180764,0.00015050892],"domain_scores_gemma":[0.9996814,0.000042742486,0.00003506775,0.00018989001,0.000026110845,0.000024751032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025297893,0.000077308294,0.00009439082,0.00006190537,0.00005389626,0.000019185956,0.00015873928,0.000043025797,0.00019360767],"category_scores_gemma":[0.000030934312,0.000051518087,0.000038691385,0.00014165798,0.000030434489,0.0005604904,0.000039156504,0.000091437534,0.000042329346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035636034,0.00032782002,0.03034154,0.0029988964,0.0009969439,0.000024475927,0.27013722,0.06324774,0.54635835,0.020899445,0.04242898,0.021882212],"study_design_scores_gemma":[0.0004685171,0.000050964903,0.0072649918,0.00011835645,0.000048670678,0.000019370633,0.0015472135,0.3258603,0.64802605,0.0006125361,0.015603393,0.00037966136],"about_ca_topic_score_codex":0.00010136655,"about_ca_topic_score_gemma":0.000006341137,"teacher_disagreement_score":0.26859,"about_ca_system_score_codex":0.0000139365275,"about_ca_system_score_gemma":0.000009475837,"threshold_uncertainty_score":0.21198682},"labels":[],"label_agreement":null},{"id":"W2162394119","doi":"10.1109/acc.2011.5991342","title":"Toward a stability monitoring system of an asset-communications network exposed to malicious attacks","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer security; Asset (computer security); Computer science; Stability (learning theory); Computer network","score_opus":0.08690485323874736,"score_gpt":0.25876024579082557,"score_spread":0.1718553925520782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162394119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981298,0.00018313284,0.0052702716,0.000011573604,0.00055401423,0.00022721878,0.0000051789643,0.00039806435,0.012052487],"genre_scores_gemma":[0.98379964,0.000017535012,0.016010469,0.0000056261047,0.00011135523,0.000030616215,0.0000019299391,0.000015141142,0.000007707812],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991981,0.000055371493,0.00026776132,0.00013382113,0.000118386386,0.00022657169],"domain_scores_gemma":[0.9988064,0.000048998125,0.000023460363,0.0009365587,0.000054735934,0.00012982861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025073037,0.000104498235,0.00017235146,0.00003765083,0.00006307774,0.000012292309,0.0005267053,0.00007023718,0.000026708678],"category_scores_gemma":[0.000013789721,0.00009807048,0.000042260515,0.00022033046,0.000037353453,0.00012411774,0.000100850244,0.000119124066,0.00001964462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003519579,0.0018416181,0.43352163,0.0046784873,0.0007248031,0.000070275615,0.18895486,0.16075294,0.1462232,0.039600935,0.0023885306,0.020890748],"study_design_scores_gemma":[0.00096951553,0.0006973227,0.257815,0.00075661915,0.000109289576,0.0000445825,0.027078506,0.14827265,0.5600842,0.00028678105,0.0023542943,0.001531208],"about_ca_topic_score_codex":0.00015021708,"about_ca_topic_score_gemma":0.000107600914,"teacher_disagreement_score":0.41386104,"about_ca_system_score_codex":0.000057215868,"about_ca_system_score_gemma":0.0000119854885,"threshold_uncertainty_score":0.3999198},"labels":[],"label_agreement":null},{"id":"W2163206103","doi":"10.1109/pes.2008.4596876","title":"Network-integrated load-management collaborative computing for smart distribution system operations","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Distributed computing; Resilience (materials science)","score_opus":0.008475838258307517,"score_gpt":0.20383576865773792,"score_spread":0.1953599303994304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163206103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0833114,0.0002587157,0.9059841,0.000056742494,0.0009866437,0.0007465859,0.00007577367,0.0006665519,0.007913509],"genre_scores_gemma":[0.99366415,0.000037864917,0.0055526625,0.000030476469,0.00017237253,0.00004950091,0.00018047655,0.000011432011,0.00030104085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927795,0.000019128747,0.00019609925,0.00014033366,0.00013034031,0.0002361511],"domain_scores_gemma":[0.9996129,0.00004043637,0.000011858425,0.00011329524,0.00017204162,0.000049441256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013491724,0.00011407358,0.0001311525,0.000017714558,0.00039088842,0.000037245987,0.00009733605,0.000050314786,0.000007839555],"category_scores_gemma":[0.0000101384685,0.00009978533,0.000033202265,0.00037515184,0.000033714015,0.00008875786,0.000020406333,0.00006838257,0.000025555013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009464469,0.000017545994,0.00033110613,0.00009705579,0.00005646847,0.000008817785,0.00031282546,0.91591793,0.000054515902,0.029309269,0.053695686,0.0001893027],"study_design_scores_gemma":[0.00037827986,0.00003151975,0.0011404982,0.00007415201,0.000016971731,0.0000120067225,0.0008800933,0.96957546,0.00062473275,0.000011021243,0.027077848,0.00017740062],"about_ca_topic_score_codex":0.000022228738,"about_ca_topic_score_gemma":0.00009614588,"teacher_disagreement_score":0.91035277,"about_ca_system_score_codex":0.00021548396,"about_ca_system_score_gemma":0.000033298962,"threshold_uncertainty_score":0.40691274},"labels":[],"label_agreement":null},{"id":"W2166444588","doi":"10.1109/icoin.2011.5723144","title":"A survey of technical requirements and consumer application standards for IP-based smart grid AMI network","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smart grid; Interoperability; Computer science; NIST; Computer security; Government (linguistics); Telecommunications; Systems engineering; Engineering; World Wide Web; Electrical engineering","score_opus":0.033974585660714464,"score_gpt":0.2634112550190509,"score_spread":0.22943666935833643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166444588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27242738,0.0010253761,0.71836674,0.0000219898,0.0006131073,0.0012444373,0.00032445774,0.00035789225,0.0056186267],"genre_scores_gemma":[0.99681383,0.000039902883,0.002998431,0.000023717997,0.000029999283,0.00005159175,0.000024561527,0.000010752698,0.0000071802933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994125,0.000017088525,0.00018512049,0.000117273725,0.00012068735,0.00014735316],"domain_scores_gemma":[0.99959004,0.00008864475,0.000025228459,0.00015312019,0.00009735461,0.000045595258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054875354,0.00007546816,0.00013167232,0.000024500703,0.000034098757,0.0000050920235,0.0000779057,0.000067629495,0.00001964699],"category_scores_gemma":[0.000047177193,0.00006638649,0.000021454745,0.00011026897,0.000079630176,0.000041755764,0.000015184288,0.000048610524,0.000001274547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089326093,0.00041253938,0.8856616,0.0013400635,0.00024055912,0.000002500493,0.0004636648,0.008851871,0.012396785,0.00796233,0.062283352,0.019491477],"study_design_scores_gemma":[0.0014225725,0.00024209278,0.8642903,0.00008575851,0.000044118347,0.0000020984328,0.000014429906,0.0929855,0.020160768,0.0004485647,0.019903483,0.00040031128],"about_ca_topic_score_codex":0.00016111016,"about_ca_topic_score_gemma":0.00079525396,"teacher_disagreement_score":0.72438645,"about_ca_system_score_codex":0.000021210939,"about_ca_system_score_gemma":0.000027072358,"threshold_uncertainty_score":0.27071625},"labels":[],"label_agreement":null},{"id":"W2167221199","doi":"10.1109/icce.2011.5722864","title":"Device authentication mechanism for Smart Energy Home Area Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Authentication (law); Computer science; Mechanism (biology); Computer network; Home automation; Computer security; Energy (signal processing); Telecommunications","score_opus":0.0211678216147419,"score_gpt":0.19140071805348396,"score_spread":0.17023289643874207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167221199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024677651,0.00011826444,0.9645274,0.000025377049,0.0009386906,0.00010339666,0.0000019889947,0.00033245457,0.009274769],"genre_scores_gemma":[0.9963353,0.000060571474,0.0027761597,0.00012000338,0.000093088,0.0000505236,0.000008498493,0.00001559257,0.0005402317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995483,0.0000051443235,0.0001074278,0.000104613806,0.000053448977,0.0001810299],"domain_scores_gemma":[0.99973,0.000028607103,0.000011408886,0.00014091545,0.00003509867,0.00005395028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053873464,0.0000808579,0.000074621865,0.000034598776,0.000048008278,0.000011625949,0.00011475914,0.00007622912,0.00011978075],"category_scores_gemma":[0.0000062613003,0.000072089264,0.00003898529,0.0000775873,0.000012691355,0.000080509344,0.000012978143,0.0000411043,0.000017283694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016291311,0.00006525491,0.00018297073,0.00006485367,0.00006967618,0.000002535991,0.0012079086,0.0026544016,0.0028477646,0.9841339,0.0053909044,0.0033635215],"study_design_scores_gemma":[0.00021293055,0.000035390487,0.00082529325,0.000015843787,0.00002375015,0.0000051301918,0.000095021955,0.9511896,0.021633113,0.021030858,0.0046850853,0.00024800305],"about_ca_topic_score_codex":0.00003761159,"about_ca_topic_score_gemma":0.00011280246,"teacher_disagreement_score":0.9716577,"about_ca_system_score_codex":0.000012928091,"about_ca_system_score_gemma":0.000004300214,"threshold_uncertainty_score":0.2939715},"labels":[],"label_agreement":null},{"id":"W2169218865","doi":"10.1109/icc.2012.6364549","title":"Efficient authentication and key management for the Home Area Network","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Key management; Authentication (law); Computer security; Overhead (engineering); Robustness (evolution); Authentication protocol; Cryptography; Key (lock); Mutual authentication","score_opus":0.009055759916312389,"score_gpt":0.19779871239479951,"score_spread":0.18874295247848713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169218865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6066472,0.0057604094,0.3742491,0.00043935358,0.0023299253,0.00082221156,0.0000024926608,0.00025667826,0.009492651],"genre_scores_gemma":[0.9985038,0.000094838004,0.0009453748,0.000036178764,0.00015413977,0.00003443063,9.399983e-7,0.0000047264975,0.00022557024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970675,0.0000027493832,0.000049237202,0.00004228555,0.000046532692,0.00015247703],"domain_scores_gemma":[0.9998184,0.00005403229,0.00000471553,0.00008963327,0.000004615115,0.000028592116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012577143,0.000040476436,0.000031355507,0.000009865434,0.00007350949,0.000013938393,0.000048011418,0.000015276431,0.0000161898],"category_scores_gemma":[0.000001951589,0.00002497068,0.000013583679,0.000047631635,0.000016743701,0.000016639468,0.000017619705,0.000022935066,0.000010723591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012291869,0.00007901098,0.004007971,0.00025979054,0.00014842591,3.9935375e-7,0.0041340226,0.7172514,0.00016419357,0.22840843,0.028879937,0.016654104],"study_design_scores_gemma":[0.00014986224,0.0000075628764,0.06327235,0.000012704428,0.00003524458,0.0000019359297,0.00026419156,0.8810184,0.0000988282,0.00030133224,0.054734148,0.00010344588],"about_ca_topic_score_codex":7.2383006e-7,"about_ca_topic_score_gemma":0.0000013804255,"teacher_disagreement_score":0.3918566,"about_ca_system_score_codex":0.000007165926,"about_ca_system_score_gemma":4.6018891e-7,"threshold_uncertainty_score":0.10182748},"labels":[],"label_agreement":null},{"id":"W2170659658","doi":"10.1109/mcom.2013.6400437","title":"Communication security for smart grid distribution networks","year":2013,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Smart grid; Computer science; Computer security; Software deployment; Telecommunications network; Grid; Adversary; Telecommunications; Engineering","score_opus":0.014289056380283641,"score_gpt":0.24063249743162032,"score_spread":0.2263434410513367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170659658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17691462,0.033744194,0.7003028,0.018675765,0.008037241,0.008552685,0.0011541592,0.0051104412,0.047508124],"genre_scores_gemma":[0.9919585,0.0027539327,0.0028444969,0.00009196321,0.00017725672,0.0006723758,0.0013485792,0.000028559049,0.0001243549],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907374,0.000084461346,0.00033025313,0.00013567824,0.00009771742,0.00027815398],"domain_scores_gemma":[0.9972349,0.00033138815,0.00005711833,0.0020763462,0.00020654195,0.0000937052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021165848,0.00015942125,0.00016945082,0.00004709525,0.00038892095,0.00008891509,0.0011130192,0.0001260046,0.000048378763],"category_scores_gemma":[0.00005501778,0.00016745494,0.00008450471,0.0002935461,0.0002018103,0.00034994585,0.00013484823,0.0003382397,0.00025003272],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011947164,0.00033324756,0.00065630634,0.000116403295,0.0000917994,2.2869658e-7,0.0005947246,0.037397083,0.0013512764,0.012397035,0.94037443,0.0066755344],"study_design_scores_gemma":[0.00034407305,0.0000259618,0.004974095,0.00004499668,0.000024933624,0.00000584411,0.000052996136,0.69050497,0.0002677935,0.0029378955,0.30055073,0.00026572865],"about_ca_topic_score_codex":0.000050442253,"about_ca_topic_score_gemma":0.00016298906,"teacher_disagreement_score":0.81504387,"about_ca_system_score_codex":0.000087080465,"about_ca_system_score_gemma":0.000013553175,"threshold_uncertainty_score":0.68286145},"labels":[],"label_agreement":null},{"id":"W2179013470","doi":"10.1007/978-3-642-36642-0_3","title":"Context-Aware Security Solutions for Cyber Physical Systems","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Survivability; Computer security; Computer science; Context (archaeology); Component (thermodynamics); Computer network; Geography","score_opus":0.021309896389605235,"score_gpt":0.22348137807264415,"score_spread":0.20217148168303892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179013470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010393407,0.0012882736,0.9919465,0.0002789543,0.0016089267,0.001311028,0.00036047093,0.00015147863,0.0020150123],"genre_scores_gemma":[0.7151547,0.0004964279,0.28178632,0.00017183923,0.0014847054,0.0003842187,0.00022689941,0.00009586606,0.0001990281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990087,0.00000519806,0.00043183702,0.000106296255,0.00016561005,0.0002823191],"domain_scores_gemma":[0.998954,0.00032641014,0.00016572533,0.00034961567,0.00015450653,0.00004972477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018206879,0.00026006094,0.00037207044,0.00011107862,0.00084911677,0.00014574527,0.00082557515,0.00021830188,8.6683997e-7],"category_scores_gemma":[0.000027994087,0.00020996596,0.00021915266,0.00010281174,0.0004072946,0.00024013029,0.00025273196,0.00036466247,0.0000012703289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1173904e-7,0.000007861813,3.9353475e-7,0.00043151208,0.000074347496,1.5166211e-8,0.0014950907,0.9403157,0.000005915194,0.055058967,0.0005346004,0.0020749671],"study_design_scores_gemma":[0.00013998293,0.00003057198,0.000005972174,0.00020705927,0.000049826864,0.000005027706,0.000014118929,0.94024837,0.000033986642,0.0009146761,0.05810168,0.00024875428],"about_ca_topic_score_codex":0.000030639163,"about_ca_topic_score_gemma":0.000064223736,"teacher_disagreement_score":0.7141153,"about_ca_system_score_codex":0.00006425652,"about_ca_system_score_gemma":0.00006766807,"threshold_uncertainty_score":0.8562164},"labels":[],"label_agreement":null},{"id":"W2185469754","doi":"","title":"Communication Network Modeling for Simulation of Wide Area Control and Protection Applications in Power Systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Phasor; Polling; Computer science; Phasor measurement unit; Reliability (semiconductor); Telecommunications network; Units of measurement; Network packet; Context (archaeology); Markov chain; Communications system; Electric power system; Polling system; Distributed computing; Computer network; Power (physics)","score_opus":0.016787928667207543,"score_gpt":0.2291813503706154,"score_spread":0.21239342170340786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185469754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14913398,0.0011144837,0.8486924,0.000010514343,0.000047607602,0.0007424047,0.000001540145,0.000038313912,0.00021876913],"genre_scores_gemma":[0.99926233,0.000024344421,0.00045491062,0.0000038233625,0.00001816986,0.00022299952,0.0000040160553,0.0000057013467,0.0000036857775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967635,0.000014056244,0.00014260151,0.000039910883,0.00003556187,0.00009151582],"domain_scores_gemma":[0.9997087,0.00012264292,0.000019677269,0.00010081153,0.00002900211,0.000019158773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018710532,0.000041560106,0.00007508176,0.000029976401,0.000039279752,0.00000679128,0.00003239853,0.000045722394,7.2465235e-7],"category_scores_gemma":[0.000014754153,0.000038277976,0.000011104407,0.00007461243,0.000009357242,0.00012955285,0.0000049318046,0.00004373215,3.0880582e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049099604,0.000009939123,0.0024351922,0.00004203727,0.0000038593407,1.2968996e-9,0.0001788206,0.9958699,0.00021462941,0.0011810857,0.000005490257,0.00005416582],"study_design_scores_gemma":[0.00016846156,0.000005890696,0.0012946209,0.000026277443,0.000004447229,1.9520829e-7,0.00012915992,0.9978311,0.0000318761,0.00015993793,0.0003055205,0.000042505693],"about_ca_topic_score_codex":0.000028926537,"about_ca_topic_score_gemma":0.000017947503,"teacher_disagreement_score":0.85012835,"about_ca_system_score_codex":0.00001646272,"about_ca_system_score_gemma":0.0000020003188,"threshold_uncertainty_score":0.15609306},"labels":[],"label_agreement":null},{"id":"W2189022398","doi":"","title":"Application of Sensor Networks for Secure Electric Energy Infrastructure","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wireless sensor network; Computer science; Electric energy; Computer security; Computer network; Physics; Power (physics)","score_opus":0.0020061143067991783,"score_gpt":0.18677094633147678,"score_spread":0.1847648320246776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189022398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037899725,0.0003725558,0.95993227,0.00000840212,0.00014571204,0.00009022911,0.0000014169548,0.00009587323,0.001453814],"genre_scores_gemma":[0.996761,0.00007340314,0.0028321536,0.000041553925,0.00022892951,0.000007526472,0.000008278528,0.000010466647,0.000036662277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995745,0.0000023030525,0.000125764,0.00007678461,0.000057086392,0.00016360437],"domain_scores_gemma":[0.99976015,0.0000578674,0.000017859553,0.00009822502,0.000032023254,0.000033899676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065065295,0.00006511107,0.00007960314,0.000051461586,0.000022063023,0.0000035473508,0.00007069294,0.00010310247,0.000008211938],"category_scores_gemma":[0.0000056976082,0.000056915404,0.000032915766,0.00022054331,0.000010327187,0.000028599516,0.0000052738746,0.000059865055,6.0005027e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035100413,0.000018045406,0.0012662337,0.00010043968,0.000036530364,7.6151446e-7,0.00015251244,0.82755965,0.052576695,0.030615995,0.006633715,0.08100432],"study_design_scores_gemma":[0.00015396532,0.000027745788,0.003995406,0.0000036415483,0.000007514757,0.0000050917724,0.000033249926,0.89521366,0.06383153,0.0005846795,0.036029488,0.000114027316],"about_ca_topic_score_codex":0.000008583843,"about_ca_topic_score_gemma":0.000032824653,"teacher_disagreement_score":0.9588613,"about_ca_system_score_codex":0.000015047218,"about_ca_system_score_gemma":0.000004101696,"threshold_uncertainty_score":0.23209429},"labels":[],"label_agreement":null},{"id":"W2193683174","doi":"10.1016/j.ijepes.2015.11.024","title":"A new local backup scheme considering simultaneous faults of protection IEDs in an IEC 61850-based substation","year":2015,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Backup; IEC 61850; Scheme (mathematics); Local area network; Computer science; Reliability engineering; Engineering; Computer network; Automation; Operating system","score_opus":0.015854239862890862,"score_gpt":0.24153751136597534,"score_spread":0.22568327150308448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193683174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5008418,0.0010865766,0.49554354,0.000067708526,0.0021174813,0.000090995,0.00000216949,0.000037572005,0.00021216173],"genre_scores_gemma":[0.9988334,0.000015164323,0.00078910356,0.000021719816,0.00029598342,0.0000034712195,0.000003561726,0.000017577415,0.000019991701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982914,0.00008921246,0.0006880887,0.00012086258,0.0006252853,0.00018516176],"domain_scores_gemma":[0.9987673,0.00014655475,0.0002172399,0.00008804769,0.00058837055,0.00019246388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002896771,0.00013464679,0.00025777545,0.00043521324,0.000013051861,0.00003922036,0.00026624356,0.00012379888,0.000007665441],"category_scores_gemma":[0.0002086757,0.00012457072,0.00007146375,0.00031207615,0.000030408068,0.00029033728,0.00001020293,0.00026536928,0.0000024870749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003187782,0.00009609497,0.0005026492,0.000011292448,0.00006222568,0.00013923341,0.00032827453,0.9785815,0.014774097,0.0008193031,0.00014684138,0.0042197225],"study_design_scores_gemma":[0.0015185727,0.0004583348,0.00015310856,0.0001986214,0.0000076025117,0.00032351527,0.0001501433,0.98023564,0.013460798,0.00018554745,0.0031371163,0.00017099484],"about_ca_topic_score_codex":0.0005212019,"about_ca_topic_score_gemma":0.00015222588,"teacher_disagreement_score":0.49799162,"about_ca_system_score_codex":0.00038524903,"about_ca_system_score_gemma":0.00023219395,"threshold_uncertainty_score":0.50798464},"labels":[],"label_agreement":null},{"id":"W2199222259","doi":"10.4236/ica.2015.64020","title":"A Novel Technique for Detection of Time Delay Switch Attack on Load Frequency Control","year":2015,"lang":"en","type":"article","venue":"Intelligent Control and Automation","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Real-time computing; Control (management); Computer hardware; Electrical engineering; Electronic engineering; Engineering; Embedded system; Telecommunications; Artificial intelligence","score_opus":0.016776693183458532,"score_gpt":0.2417663465970054,"score_spread":0.22498965341354688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199222259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10133064,0.00034920857,0.89671946,0.00006535959,0.00024077912,0.00078476174,0.000031319356,0.00017136232,0.00030709486],"genre_scores_gemma":[0.99907464,0.0000187607,0.00058904494,0.000043975862,0.000086274136,0.00015027996,0.000004261624,0.0000126854275,0.0000200533],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929696,0.00001687576,0.00026333303,0.00012533383,0.0001580521,0.00013942603],"domain_scores_gemma":[0.9994898,0.00012081052,0.00006143448,0.00010384682,0.00016096006,0.00006317462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003031283,0.00011868954,0.00018374999,0.000079981415,0.000035254558,0.00001782634,0.00006505101,0.000110223584,0.0000049431965],"category_scores_gemma":[0.00011661088,0.00010422925,0.000053061172,0.00007915599,0.000028204064,0.00010948202,0.000003834713,0.000078746525,0.000019245099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012826416,0.00006758764,0.00006561272,0.00008933184,0.000057536676,7.5021336e-7,0.00033570098,0.035005152,0.9466237,0.00030796885,0.00014363254,0.017174762],"study_design_scores_gemma":[0.0013229154,0.00034708652,0.00038153856,0.000072342336,0.00003361576,0.0000140385,0.000021277623,0.8127498,0.18350008,0.0005793481,0.0008267421,0.00015120862],"about_ca_topic_score_codex":0.000032779946,"about_ca_topic_score_gemma":0.000020037007,"teacher_disagreement_score":0.897744,"about_ca_system_score_codex":0.00008247114,"about_ca_system_score_gemma":0.000025998352,"threshold_uncertainty_score":0.42503455},"labels":[],"label_agreement":null},{"id":"W2244647934","doi":"10.1109/epec.2015.7379989","title":"Performance evaluation of Channel-Aware MAC protocol in smart grid","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Umm Al-Qura University","keywords":"Computer science; Network packet; Computer network; Smart grid; Throughput; IEEE 802.11s; Protocol (science); Channel (broadcasting); Transmission (telecommunications); Access control; Wireless mesh network; Real-time computing; Wireless; Wireless network; Engineering; Electrical engineering; Telecommunications","score_opus":0.04559244062304321,"score_gpt":0.2852933875216397,"score_spread":0.23970094689859647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2244647934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95288503,0.00002155815,0.0002459673,0.000033139946,0.0005051232,0.024409357,0.0000024336878,0.000111565176,0.021785822],"genre_scores_gemma":[0.9865014,0.0000021228525,0.000040534916,0.0000072333028,0.00006947841,0.0133304885,0.0000025539252,0.000006489484,0.000039700248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993323,0.000022654853,0.00014903198,0.00007429427,0.00030433116,0.00011739384],"domain_scores_gemma":[0.99973,0.0000075978173,0.000014279388,0.000109528824,0.00009809816,0.000040529405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005509173,0.00006249386,0.000081739214,0.000071826915,0.000009260224,0.0000044597455,0.00008325125,0.000043591153,0.00006181657],"category_scores_gemma":[0.000023504379,0.000053294527,0.000013540718,0.00016977926,0.000017184913,0.00013534701,0.000015618605,0.00006965751,0.000029952951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042953936,0.00009274549,0.021865407,0.000355661,0.000010727241,0.0000016461549,0.0021608965,0.96188253,0.00037002182,0.000039692943,0.0058132336,0.007364472],"study_design_scores_gemma":[0.0007352562,0.00004879523,0.01643863,0.00004806963,0.0000029692033,0.0000018871806,0.00013536995,0.9686327,0.012261368,0.000037066166,0.0015716036,0.00008630438],"about_ca_topic_score_codex":0.000023594064,"about_ca_topic_score_gemma":0.00008702418,"teacher_disagreement_score":0.033616364,"about_ca_system_score_codex":0.000054743457,"about_ca_system_score_gemma":0.000043921496,"threshold_uncertainty_score":0.21732877},"labels":[],"label_agreement":null},{"id":"W2246071452","doi":"10.1109/epec.2015.7379940","title":"Smart metering and functionalities of smart meters in smart grid - a review","year":2015,"lang":"en","type":"review","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Smart meter; Metering mode; Automatic meter reading; Computer science; Interoperability; Electricity meter; Embedded system; Real-time computing; Engineering; Electrical engineering; Telecommunications; Power (physics); Wireless; Operating system","score_opus":0.058862133290008,"score_gpt":0.29144473589667125,"score_spread":0.23258260260666325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2246071452","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027717402,0.9939524,0.000041714273,0.000014959396,0.0011987195,0.00057693257,0.000049123013,0.00010521371,0.004033222],"genre_scores_gemma":[0.000009109648,0.99902743,0.00028161466,0.000049134633,0.000109168555,0.0001233154,0.000050118873,0.00004933412,0.00030076664],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979746,0.00013338313,0.0009273876,0.00033427618,0.00031102376,0.00031932542],"domain_scores_gemma":[0.9991221,0.00021080779,0.00011619229,0.0003652032,0.000052365038,0.00013333741],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083365384,0.0004530172,0.0020779052,0.0003070803,0.000025168587,0.000023817649,0.00024517401,0.0002212935,0.00012964154],"category_scores_gemma":[0.00008979039,0.00035987198,0.00029269987,0.000451639,0.00010395534,0.00017010496,0.000118196156,0.000395836,0.0000310178],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005044294,0.000039835293,0.000070690214,0.46275204,0.00043314992,0.000029482893,0.00018295241,0.000038398284,0.000001457932,0.0003920824,0.021957522,0.51409733],"study_design_scores_gemma":[0.00009267506,0.000031852673,0.000010117467,0.041439835,0.00029875778,0.00007351747,0.000023997205,0.00005382665,0.0000020404377,0.000023110691,0.95758736,0.00036289147],"about_ca_topic_score_codex":0.00009593851,"about_ca_topic_score_gemma":0.0001132623,"teacher_disagreement_score":0.93562984,"about_ca_system_score_codex":0.000106212385,"about_ca_system_score_gemma":0.000098632416,"threshold_uncertainty_score":0.9998853},"labels":[],"label_agreement":null},{"id":"W2253731897","doi":"10.2172/911775","title":"Cyber Incidents Involving Control Systems","year":2005,"lang":"en","type":"report","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; British Columbia Institute of Technology","keywords":"Computer security; Hacker; SCADA; Vulnerability (computing); Security controls; Risk analysis (engineering); Risk management; Vulnerability assessment; Cyber-attack; Control (management); Engineering; Business; Computer science","score_opus":0.015127707088769865,"score_gpt":0.23631102591748127,"score_spread":0.2211833188287114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253731897","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01614764,0.064880714,0.0025549168,0.000026390811,0.023262748,0.00090296334,0.00007226074,0.0016825811,0.8904698],"genre_scores_gemma":[0.9691269,0.0074409107,0.000046903635,0.000048136302,0.0043555293,0.00005960467,0.00003423828,0.00009789358,0.018789902],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980779,0.000023027407,0.000473335,0.0002522926,0.0007988438,0.0003745622],"domain_scores_gemma":[0.99920624,0.000073089686,0.00007019214,0.00036305032,0.00016108227,0.00012636447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037382595,0.0003114059,0.00049842783,0.00015719327,0.000058914946,0.00010351815,0.00028696825,0.0004974017,0.00026849666],"category_scores_gemma":[0.0000842942,0.00027156126,0.000129211,0.00011101938,0.000030929663,0.00013157119,0.000039107366,0.0005261659,0.0003786341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067423994,0.00006719573,0.0046098297,0.0032505624,0.0008385515,0.0002905859,0.00057141896,0.25273716,0.00055115356,0.00038411372,0.7329448,0.0037478986],"study_design_scores_gemma":[0.00036225203,0.000012704878,0.0024510184,0.0006946368,0.00009221161,0.00020762022,0.00008805759,0.0559299,0.000059325892,0.000005355384,0.93935436,0.0007425693],"about_ca_topic_score_codex":0.00074505457,"about_ca_topic_score_gemma":0.00030161475,"teacher_disagreement_score":0.95297927,"about_ca_system_score_codex":0.00041964932,"about_ca_system_score_gemma":0.00017380448,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W2303593473","doi":"10.1049/etr.2015.0010","title":"Opportunities and Challenges of Heterogeneous Networks for Substations Automation in Smart Grids","year":2012,"lang":"en","type":"article","venue":"Engineering & Technology Reference","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"IEC 61850; Ethernet; Smart grid; Industrial Ethernet; Local area network; Automation; Engineering; Computer network; Embedded system; Computer science; Electrical engineering","score_opus":0.038730639352549466,"score_gpt":0.22395464307133703,"score_spread":0.18522400371878756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303593473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95621043,0.019042684,0.023455337,0.00016671878,0.00031363667,0.00017806956,0.000008197482,0.00052048964,0.00010443888],"genre_scores_gemma":[0.9924074,0.005597361,0.0018616327,0.0000021686633,0.000025594207,0.000081930724,0.0000057118204,0.000014694211,0.0000035437024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994474,0.000004660553,0.00017182023,0.000088224595,0.00004261002,0.00024526316],"domain_scores_gemma":[0.9997226,0.00007080004,0.000020857542,0.00012855713,0.000021345146,0.000035852787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010624242,0.0001055257,0.00015097646,0.000266441,0.000020790398,0.000003967429,0.000093719886,0.00017864275,0.0000020071786],"category_scores_gemma":[0.00003490417,0.000112730035,0.000014225571,0.00013853585,0.000050406285,0.00011025316,0.000021452419,0.00013650552,5.593834e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015148402,0.000115580035,0.010956456,0.0015232121,0.0001135428,0.000007732969,0.002500551,0.6712939,0.006599907,0.2366281,0.00006978196,0.07017608],"study_design_scores_gemma":[0.0005956485,0.00016236016,0.05170124,0.00033789733,0.000031898227,0.00009330403,0.0008019498,0.92132986,0.014303816,0.0006779658,0.009328041,0.00063603895],"about_ca_topic_score_codex":0.0000019927584,"about_ca_topic_score_gemma":0.00001733975,"teacher_disagreement_score":0.25003594,"about_ca_system_score_codex":0.000019384795,"about_ca_system_score_gemma":0.000005185418,"threshold_uncertainty_score":0.45969975},"labels":[],"label_agreement":null},{"id":"W2310208842","doi":"10.1109/smartgridcomm.2015.7436348","title":"Tuning out of phase: Resonance attacks","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Oscillation (cell signaling); Phase (matter); Computer science; Transmission (telecommunications); Resonance (particle physics); Electric power system; Power (physics); Observable; Adversary; Work (physics); Control theory (sociology); Low-frequency oscillation; Engineering; Telecommunications; Physics; Computer security; Control (management)","score_opus":0.035003286934139455,"score_gpt":0.2820083012641941,"score_spread":0.24700501433005462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310208842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8321878,0.0033135824,0.020935107,0.00008243924,0.0014747323,0.00009192595,0.000006100721,0.00034347404,0.14156485],"genre_scores_gemma":[0.9982975,0.000037529422,0.00090295484,0.000019141415,0.00007648223,0.0000015765353,0.0000010906318,0.0000066800158,0.0006570355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996386,0.0000053119156,0.00009526452,0.000056620698,0.000101030215,0.000103161],"domain_scores_gemma":[0.9997808,0.000016244809,0.000008075022,0.00011299469,0.000025359977,0.000056568628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008172101,0.000047976635,0.00007751656,0.000022887232,0.000010049118,0.0000046139157,0.0000877162,0.00003182197,0.00003576473],"category_scores_gemma":[0.000024431736,0.000041762363,0.00001731107,0.00006676419,0.000028106793,0.000068135865,0.000014524544,0.000059243343,0.000046759767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015454642,0.00056311133,0.012820226,0.000545083,0.00013282134,0.0001052522,0.031867806,0.081886485,0.15237315,0.020285945,0.57687783,0.12238773],"study_design_scores_gemma":[0.0021053993,0.0001736574,0.00084112847,0.00010209629,0.000010909938,0.000008799206,0.0009174912,0.24757221,0.10248053,0.0004054345,0.6450014,0.00038092723],"about_ca_topic_score_codex":0.0000061082005,"about_ca_topic_score_gemma":0.000015427862,"teacher_disagreement_score":0.16610971,"about_ca_system_score_codex":0.000011066823,"about_ca_system_score_gemma":0.000010616328,"threshold_uncertainty_score":0.17030197},"labels":[],"label_agreement":null},{"id":"W2314200155","doi":"10.1109/tsg.2016.2542859","title":"Optimal Tree Construction Model for Cyber-Attacks to Wide Area Measurement Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Smart grid; Phasor; Computer science; Multicast; Software deployment; Computer network; Grid; Routing (electronic design automation); Distributed computing; Real-time computing; Electric power system; Engineering; Electrical engineering","score_opus":0.029925931415706042,"score_gpt":0.22243193497930666,"score_spread":0.19250600356360062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314200155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050233796,0.000049421225,0.9423625,0.00029456886,0.0055040815,0.0006371514,0.00019671972,0.00036272683,0.00035903617],"genre_scores_gemma":[0.9956045,0.00006251859,0.0032900558,0.00005719789,0.00019764698,0.0004310563,0.0000017787773,0.000046001544,0.00030921263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854285,0.000021708149,0.00032752834,0.00032275968,0.0003867571,0.00039838586],"domain_scores_gemma":[0.9991838,0.00010719903,0.000029040268,0.00032879715,0.00014568893,0.00020549595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022045987,0.00024671332,0.00024362783,0.00019079112,0.0001968231,0.000043716635,0.0001681904,0.0001321793,0.0000206832],"category_scores_gemma":[0.000011618471,0.00019580963,0.00015127775,0.00016706769,0.000060038852,0.0002070669,9.895946e-7,0.00013830341,0.00008964605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008337772,0.000052077692,0.000018278459,0.00005175585,0.000071518785,0.0000012750912,0.00018794386,0.9759607,0.014117613,0.000041785897,0.0049994523,0.0044142227],"study_design_scores_gemma":[0.0016052445,0.00027707242,0.00010276183,0.00041391636,0.00011234744,0.000044118384,0.00016397361,0.8735433,0.10519897,0.000036478865,0.017773245,0.00072856713],"about_ca_topic_score_codex":0.000015708541,"about_ca_topic_score_gemma":0.00016930919,"teacher_disagreement_score":0.94537073,"about_ca_system_score_codex":0.00028293105,"about_ca_system_score_gemma":0.000048062724,"threshold_uncertainty_score":0.7984885},"labels":[],"label_agreement":null},{"id":"W2315093559","doi":"10.1109/tsg.2016.2536145","title":"Optimized WiMAX Profile Configuration for Smart Grid Communications","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"WiMAX; Smart grid; Telecommunications link; Computer network; Computer science; Interoperability; Scheduling (production processes); Wireless broadband; Network packet; Wireless; Grid; Distributed computing; Engineering; Wireless network; Telecommunications; Electrical engineering; Operating system","score_opus":0.020828868889589697,"score_gpt":0.24333035783557974,"score_spread":0.22250148894599003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315093559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061468314,0.00012454005,0.98098814,0.001644411,0.0056133503,0.0010466446,0.00072015944,0.0007219667,0.0029939695],"genre_scores_gemma":[0.98249406,0.0010349213,0.012279849,0.00021896382,0.00054712826,0.0014136985,0.00008209082,0.000098242934,0.0018310669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868053,0.000060708066,0.00039144055,0.00028594918,0.00020429993,0.00037707662],"domain_scores_gemma":[0.9984101,0.00043703933,0.00005019477,0.0008388827,0.00012278762,0.0001410182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002048661,0.0002508114,0.00026045923,0.00016724494,0.0004255807,0.000049968516,0.00041424346,0.00016393309,0.00029849823],"category_scores_gemma":[0.000015206278,0.00020124945,0.00019601386,0.00023045643,0.00018024322,0.00036030443,0.000002300945,0.0002347455,0.00035008352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018791745,0.0025958812,0.00017169389,0.00089896726,0.0015097668,0.000017580536,0.0038756826,0.24627435,0.35253432,0.0039705466,0.21419787,0.17207417],"study_design_scores_gemma":[0.005663462,0.0004783033,0.000451502,0.00036623402,0.0002203643,0.000044254964,0.00021247931,0.10327595,0.5464396,0.00027285068,0.34126875,0.0013062473],"about_ca_topic_score_codex":0.000023021863,"about_ca_topic_score_gemma":0.000095354364,"teacher_disagreement_score":0.9763472,"about_ca_system_score_codex":0.00011332336,"about_ca_system_score_gemma":0.00005178472,"threshold_uncertainty_score":0.82067144},"labels":[],"label_agreement":null},{"id":"W2322654688","doi":"10.1109/cpem.2014.6898262","title":"Integration of PMU, SCADA, AMI to accomplish expanded functional capabilities of Smart Grid","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"SCADA; Smart grid; Computer science; Grid; Embedded system; Systems engineering; Engineering; Electrical engineering","score_opus":0.011400498361792506,"score_gpt":0.20201741973539347,"score_spread":0.19061692137360098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322654688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556144,0.000022120877,0.03466713,0.000044845987,0.00078236306,0.0000873003,0.000007740599,0.000073726595,0.00870041],"genre_scores_gemma":[0.9986656,0.000004297178,0.000934061,0.00003704419,0.000113784925,0.000008853669,0.0000071155446,0.000006731846,0.00022256016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942344,0.000015038693,0.0002110403,0.00009319428,0.00015516923,0.00010213687],"domain_scores_gemma":[0.99961686,0.0000917489,0.000019166126,0.00015016925,0.00007979697,0.00004225112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012339954,0.00007711486,0.00014287476,0.00007842712,0.0000213014,0.0000073863634,0.000088172514,0.000046070523,0.00019101957],"category_scores_gemma":[0.00007348907,0.000064420994,0.000046035973,0.00011856191,0.000051432,0.000105331754,0.0000194624,0.00006160753,0.00001483829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019287458,0.00025173224,0.020362265,0.00082345016,0.000121797,4.9919356e-7,0.008097286,0.14568602,0.69465363,0.058077928,0.06088994,0.010842571],"study_design_scores_gemma":[0.0005300521,0.0002956958,0.21045701,0.00014782704,0.000019240058,0.000006397051,0.0024016674,0.046235193,0.7297139,0.0016620506,0.008155511,0.00037546016],"about_ca_topic_score_codex":0.00010976492,"about_ca_topic_score_gemma":0.00035164246,"teacher_disagreement_score":0.19009475,"about_ca_system_score_codex":0.000017176077,"about_ca_system_score_gemma":0.00000912315,"threshold_uncertainty_score":0.26270118},"labels":[],"label_agreement":null},{"id":"W2323080975","doi":"10.9734/bjast/2013/3682","title":"Risk Management Framework for the Power Grid Cyber-Physical Security","year":2013,"lang":"en","type":"article","venue":"British Journal of Applied Science & Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer security; Power grid; Grid; Cyber-physical system; Business; Computer science; Power (physics); Telecommunications; Geography; Operating system; Physics","score_opus":0.003181401531220795,"score_gpt":0.20744874668045232,"score_spread":0.20426734514923153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323080975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95477927,0.0011130561,0.037822966,0.00057013956,0.0015112679,0.0006545666,0.000010506985,0.00018838981,0.0033498271],"genre_scores_gemma":[0.9920512,0.00078088284,0.006805872,0.000068808746,0.00021603525,0.000059201644,1.4662699e-7,0.000013335687,0.00000452924],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986514,0.000005949239,0.00028749107,0.00020312845,0.0003831194,0.0004689158],"domain_scores_gemma":[0.9992277,0.00013951809,0.00012604478,0.00027030235,0.00014367362,0.00009275951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054281775,0.00012314846,0.00021547305,0.00027759335,0.00045170926,0.00016560227,0.0012510042,0.0001281424,0.00003290848],"category_scores_gemma":[0.00009643548,0.000102518985,0.000091080256,0.00097137963,0.0011007335,0.00022161855,0.00014079042,0.00081145484,0.000037042355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054797096,0.0005149261,0.00044849317,0.00011718122,0.00031961408,0.00018699502,0.0034067903,0.017062265,0.009111814,0.42514405,0.025508752,0.51812434],"study_design_scores_gemma":[0.00088543334,0.00028073293,0.0069439565,0.00019730265,0.000106221145,0.0012351414,0.0048982436,0.018220501,0.017221756,0.91129667,0.038123365,0.0005906779],"about_ca_topic_score_codex":0.0000066131597,"about_ca_topic_score_gemma":0.0000044214066,"teacher_disagreement_score":0.51753366,"about_ca_system_score_codex":0.000065050765,"about_ca_system_score_gemma":0.0000286718,"threshold_uncertainty_score":0.41806027},"labels":[],"label_agreement":null},{"id":"W2330358177","doi":"10.1109/tsg.2016.2542824","title":"Interfacing Power System and ICT Simulators: Challenges, State-of-the-Art, and Case Studies","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Carleton University; Opal-Rt Technologies (Canada)","funders":"","keywords":"Information and Communications Technology; Interfacing; Computer science; Interdependence; Synchronization (alternating current); Smart grid; State (computer science); Event (particle physics); Interface (matter); Electric power system; Set (abstract data type); Systems engineering; Power (physics); Telecommunications; Engineering; Electrical engineering; World Wide Web; Operating system","score_opus":0.01616170874433845,"score_gpt":0.22560583855446914,"score_spread":0.2094441298101307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330358177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831153,0.0029280563,0.010801524,0.00013740105,0.002480454,0.00018664096,0.000052660478,0.00014417386,0.00015377998],"genre_scores_gemma":[0.9984436,0.001379284,0.00003272595,0.00000814047,0.000034620265,0.000014073215,4.5107097e-8,0.000018847886,0.00006868707],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925655,0.00004068559,0.00021893885,0.00018739945,0.00011589862,0.00018052988],"domain_scores_gemma":[0.9994288,0.0002165805,0.000027887178,0.00021969441,0.000036867255,0.000070134054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012846765,0.00015986367,0.00020884007,0.000084156025,0.00014201338,0.000011573603,0.00006264339,0.000051507464,0.0000049217415],"category_scores_gemma":[0.0000057067145,0.00009863632,0.000051331244,0.00008364005,0.00015191198,0.000111254296,0.000004470397,0.00014453377,0.000009724336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087670767,0.00089642673,0.0019020854,0.014332881,0.0057593277,0.0025028314,0.09940027,0.2958443,0.08097626,0.0012460173,0.00497023,0.4912927],"study_design_scores_gemma":[0.009122666,0.0019925146,0.003214264,0.011587576,0.00082786736,0.013381347,0.021699494,0.04265791,0.8622809,0.0004923493,0.028969895,0.0037732122],"about_ca_topic_score_codex":0.000008408201,"about_ca_topic_score_gemma":0.00015066341,"teacher_disagreement_score":0.78130466,"about_ca_system_score_codex":0.00005072937,"about_ca_system_score_gemma":0.000007641014,"threshold_uncertainty_score":0.40222725},"labels":[],"label_agreement":null},{"id":"W2332912277","doi":"10.1109/jsyst.2014.2341597","title":"Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid","year":2014,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":583,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Smart grid; Support vector machine; Data mining; Artificial intelligence; Principal component analysis; Grid; Curse of dimensionality; Machine learning; Real-time computing; Engineering","score_opus":0.03374401342348854,"score_gpt":0.2573155940010772,"score_spread":0.22357158057758864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332912277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953251,0.0014014301,0.035852797,0.000010995523,0.009069516,0.00010556151,0.000004426737,0.00013195862,0.0001723265],"genre_scores_gemma":[0.99752647,0.00008184012,0.00020333294,0.000009390437,0.0021238583,0.000001569306,0.000003190883,0.000031432577,0.000018927538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840856,0.00028962846,0.0004931825,0.00018668998,0.0002624089,0.00035951613],"domain_scores_gemma":[0.99934465,0.00010361521,0.00013233855,0.00025856713,0.000039065417,0.00012178957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019756765,0.00015064992,0.00024402185,0.00026194038,0.0002817417,0.00015129338,0.00031137848,0.00010655196,0.000004619937],"category_scores_gemma":[0.00016727019,0.00014174888,0.000034792494,0.0002670996,0.00001766362,0.0004526512,0.000042051768,0.0010300165,0.000015265126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008517515,0.000008254506,0.023170995,0.00012823915,0.00001624984,0.00002004942,0.00038546484,0.96613526,0.0083848005,0.0000025126194,0.00008926991,0.0016503744],"study_design_scores_gemma":[0.00036579874,0.000051990446,0.0010807691,0.00032388832,0.000009363833,0.0017087962,0.00019884338,0.99043417,0.00044166547,0.000008071269,0.005197513,0.00017913546],"about_ca_topic_score_codex":0.0006153667,"about_ca_topic_score_gemma":0.0006590891,"teacher_disagreement_score":0.044275474,"about_ca_system_score_codex":0.00015928425,"about_ca_system_score_gemma":0.000033007585,"threshold_uncertainty_score":0.5780352},"labels":[],"label_agreement":null},{"id":"W2337072530","doi":"10.1109/tsg.2016.2553647","title":"A Lightweight Lattice-Based Homomorphic Privacy-Preserving Data Aggregation Scheme for Smart Grid","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":212,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Homomorphic encryption; Smart grid; Cryptosystem; Computer science; NTRU; Smart meter; Paillier cryptosystem; Encryption; Cryptography; Computer network; Security analysis; Data aggregator; Base station; Computer security; Hybrid cryptosystem; Engineering; Wireless sensor network","score_opus":0.03623360366177541,"score_gpt":0.24913892295472884,"score_spread":0.21290531929295342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337072530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09668634,0.00027338314,0.8884026,0.002296463,0.008601132,0.00096105563,0.0012338246,0.001273571,0.00027163947],"genre_scores_gemma":[0.9869347,0.0003629891,0.009920895,0.0002535786,0.0013990464,0.00036741424,0.0001063839,0.00018501875,0.00046993073],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978012,0.00006173757,0.00047926625,0.00064307806,0.00041109885,0.0006036478],"domain_scores_gemma":[0.9973607,0.00056848774,0.00007504485,0.0016518551,0.00011993006,0.00022398694],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038112004,0.00037745177,0.00033558806,0.0002882666,0.00040147896,0.000090946305,0.00106189,0.0002340162,0.00024283316],"category_scores_gemma":[0.000059689417,0.00030371893,0.00017897614,0.00041963442,0.0001204518,0.0008126764,0.000011850733,0.00033334538,0.00030295737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026183336,0.0039926535,0.0043128133,0.0048109055,0.0025747458,0.000201269,0.002547922,0.12298891,0.35766852,0.0008606588,0.36748213,0.12994114],"study_design_scores_gemma":[0.0040637073,0.00033447257,0.0008240335,0.0010185658,0.00023538464,0.000036859874,0.000040098963,0.2861716,0.38977998,0.0002747829,0.31588852,0.0013319975],"about_ca_topic_score_codex":0.000034466208,"about_ca_topic_score_gemma":0.00025909094,"teacher_disagreement_score":0.8902484,"about_ca_system_score_codex":0.00013344214,"about_ca_system_score_gemma":0.00010148565,"threshold_uncertainty_score":0.99994147},"labels":[],"label_agreement":null},{"id":"W2338949789","doi":"10.1109/tsg.2015.2466611","title":"A DER Attack-Mitigation Differential Game for Smart Grid Security Analysis","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Smart grid; Cyber-physical system; Computer science; Resilience (materials science); Computer security; Electric power system; Grid; Distributed computing; Differential (mechanical device); Power (physics); Engineering; Electrical engineering","score_opus":0.02214449686481654,"score_gpt":0.2522938265145061,"score_spread":0.23014932964968957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338949789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4204926,0.00007737936,0.5719611,0.0001439137,0.0058879615,0.00039343134,0.00033262107,0.00040947867,0.00030150908],"genre_scores_gemma":[0.99821794,0.000059542406,0.00037002916,0.000085355634,0.00073933235,0.00020994685,0.00009827387,0.000048524962,0.00017103407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981827,0.0000646864,0.0004198043,0.0004247008,0.00042203962,0.00048604258],"domain_scores_gemma":[0.9988783,0.00013877556,0.000052954594,0.00044068543,0.00015567531,0.0003336117],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020532544,0.00033372873,0.00042670371,0.0004126754,0.00020444274,0.00008870557,0.00023535409,0.00022865007,0.00014573839],"category_scores_gemma":[0.000012384135,0.00033256266,0.0004639158,0.00080929336,0.000103357335,0.00031171148,0.0000021228914,0.0003907978,0.00011856407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038505925,0.0007115088,0.0011411792,0.0002531032,0.002545539,0.00001660191,0.004291784,0.96056306,0.0024564944,0.00008818278,0.024785342,0.0027621435],"study_design_scores_gemma":[0.003687779,0.00048554095,0.0040806197,0.000085137166,0.0027228743,0.00003599082,0.0004693601,0.8545772,0.07716822,0.00041622392,0.05470907,0.0015620268],"about_ca_topic_score_codex":0.000070900816,"about_ca_topic_score_gemma":0.00083784777,"teacher_disagreement_score":0.57772535,"about_ca_system_score_codex":0.00015871736,"about_ca_system_score_gemma":0.000053955067,"threshold_uncertainty_score":0.9999126},"labels":[],"label_agreement":null},{"id":"W2344168286","doi":"10.1109/comst.2016.2525014","title":"Security Assessment of Time Synchronization Mechanisms for the Smart Grid","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Smart grid; Synchronization (alternating current); Computer science; Standardization; Power grid; Grid; Computer security; Time synchronization; Control (management); Soar; Distributed computing; Real-time computing; Embedded system; Power (physics); Telecommunications; Engineering; Electrical engineering; Operating system","score_opus":0.022546752334884016,"score_gpt":0.28231659824174254,"score_spread":0.25976984590685853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344168286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010171098,0.00077970413,0.97829866,0.0009149524,0.0067504183,0.0011093086,0.00051377196,0.00027599157,0.001186062],"genre_scores_gemma":[0.995711,0.0013033838,0.0022465512,0.0000121295125,0.0003767804,0.00019096864,0.000044281467,0.000025943944,0.00008891368],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847764,0.00059674395,0.00040865148,0.00013004761,0.00019681267,0.00019008367],"domain_scores_gemma":[0.99491185,0.0031748568,0.00010850541,0.0015198039,0.00024247899,0.000042484797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030894235,0.00013168469,0.00022794126,0.000055207707,0.0002552616,0.000028306235,0.0009954959,0.000099726465,0.00005612006],"category_scores_gemma":[0.0002868862,0.0000855321,0.00008866426,0.00021774857,0.00018981298,0.0001652046,0.00009396877,0.00009634577,0.000026099993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004144648,0.0010092199,0.0034242596,0.0005100046,0.0012538576,0.0000010085864,0.0028861691,0.025798224,0.7129475,0.15194912,0.065278485,0.034900706],"study_design_scores_gemma":[0.0050550173,0.0005357157,0.033641286,0.0008293656,0.0005951564,0.000017037091,0.00034041874,0.40509763,0.21788587,0.04383387,0.28991917,0.0022494874],"about_ca_topic_score_codex":0.000056533943,"about_ca_topic_score_gemma":0.00016276873,"teacher_disagreement_score":0.98554,"about_ca_system_score_codex":0.00010304481,"about_ca_system_score_gemma":0.00008315675,"threshold_uncertainty_score":0.34878975},"labels":[],"label_agreement":null},{"id":"W2346839736","doi":"10.1109/access.2016.2564418","title":"Optimal Trust System Placement in Smart Grid SCADA Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; SCADA; Network topology; Computer network; Distributed computing","score_opus":0.010723299133256356,"score_gpt":0.22831925219456473,"score_spread":0.21759595306130836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346839736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766126,0.0003220118,0.015817408,0.00005019881,0.0043922993,0.00018545584,0.000007739866,0.00024302301,0.0023692134],"genre_scores_gemma":[0.99905837,0.000110924804,0.00004696473,0.000026285394,0.0006007245,0.000041160514,0.0000014211909,0.000019844825,0.00009430687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990698,0.000022564764,0.00022344658,0.00018488779,0.00015447846,0.00034481057],"domain_scores_gemma":[0.9996013,0.0000625976,0.000022983098,0.00021856488,0.000015718211,0.00007882348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015133523,0.00013763855,0.00016188713,0.000081021695,0.000043632088,0.000061030994,0.0003916259,0.000094122304,0.000042544416],"category_scores_gemma":[0.0000064432243,0.00009825436,0.00003626172,0.00019526987,0.000033485794,0.00033563763,0.00004710615,0.00012084902,0.00005562334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038567287,0.00002844845,0.027673049,0.00014947499,0.000026893724,0.0000704539,0.00013053634,0.95570236,0.00088874536,0.00010700246,0.013874996,0.0013094667],"study_design_scores_gemma":[0.0036918852,0.000115236726,0.07604103,0.0019226319,0.000038275488,0.00008145127,0.0003448851,0.8453268,0.039899897,0.000014290512,0.031064373,0.0014592462],"about_ca_topic_score_codex":0.00004698084,"about_ca_topic_score_gemma":0.00012764151,"teacher_disagreement_score":0.11037557,"about_ca_system_score_codex":0.00014025671,"about_ca_system_score_gemma":0.000012434443,"threshold_uncertainty_score":0.40066963},"labels":[],"label_agreement":null},{"id":"W2377544198","doi":"","title":"Technology Analysis and Transmission Model of Data Safety Based on Physical Isolation","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intranet; Computer science; Isolation (microbiology); Computer security; The Internet; Openness to experience; Transmission (telecommunications); Computer network; Telecommunications; World Wide Web","score_opus":0.00940308582222359,"score_gpt":0.23302983312447892,"score_spread":0.22362674730225532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377544198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037424706,0.00004063122,0.96193147,0.0002406684,0.0000018569191,0.00015385763,0.000044570013,0.000092999835,0.00006925443],"genre_scores_gemma":[0.81043905,0.000020440035,0.18940018,0.000020904961,0.000018602957,0.000016883518,0.000077067074,0.0000055463265,0.0000013125176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957186,0.0000028540023,0.00011285595,0.00018363826,0.000054038246,0.00007474853],"domain_scores_gemma":[0.9995991,0.000018735707,0.000016260352,0.0003229081,0.000016092994,0.00002688571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030943156,0.00006828671,0.000113178736,0.00018236965,0.000051542353,0.000006382615,0.00020392878,0.000051628234,0.0000010204344],"category_scores_gemma":[1.2873726e-7,0.000065048276,0.000027617089,0.0005441674,0.00004348917,0.000059349688,0.000029714136,0.00007977113,0.000002573884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002716783,0.00006956135,0.000056198434,0.000021279044,0.000026014406,5.515627e-8,0.000093826166,0.9054525,0.04750108,0.00079025753,0.0000114858285,0.045975063],"study_design_scores_gemma":[0.00016973595,0.000009209814,0.0004084241,0.0000086446125,0.000056817422,3.9676075e-7,0.0000031320787,0.98239094,0.013801007,0.0009862357,0.0020996956,0.00006578362],"about_ca_topic_score_codex":0.0000029872404,"about_ca_topic_score_gemma":0.0000033042902,"teacher_disagreement_score":0.77301437,"about_ca_system_score_codex":0.000014626831,"about_ca_system_score_gemma":0.000011374039,"threshold_uncertainty_score":0.26525918},"labels":[],"label_agreement":null},{"id":"W2394164044","doi":"","title":"Advanced Metering Infrastructure","year":2009,"lang":"en","type":"article","venue":"Nanfang dianwang jishu","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Smart grid; Smart meter; Automatic meter reading; Metering mode; Telecommunications; Automation; Visibility; Telecommunications network; Asset management; Engineering; Process (computing); Grid; Electric power system; Energy management system; Systems engineering; Computer science; Energy management; Electrical engineering; Power (physics); Energy (signal processing); Wireless; Business","score_opus":0.002309198549505185,"score_gpt":0.18806961339923167,"score_spread":0.1857604148497265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394164044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97763675,0.0018908932,0.0013531875,0.00015018822,0.0011481249,0.00013449592,0.000009809835,0.000761114,0.016915444],"genre_scores_gemma":[0.9972616,0.000108090615,0.0020561449,0.000236809,0.0002231039,0.0000047355393,0.0000069260022,0.000017383993,0.000085208514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924964,0.00000857671,0.00013141427,0.00015260266,0.00014275231,0.00031501224],"domain_scores_gemma":[0.9996396,0.000024884468,0.000015148753,0.00020987946,0.000017218856,0.00009329006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054330623,0.00014213087,0.00014175751,0.000077957055,0.00007022782,0.00003892036,0.00018411757,0.000103205144,0.00006316232],"category_scores_gemma":[0.000035149526,0.00013581138,0.000058822046,0.00022519879,0.000022673426,0.00020874616,0.0000145227095,0.00021688512,0.00006309854],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038866005,0.000073217394,0.002619464,0.000199162,0.00009055944,0.00020361367,0.0048875413,0.16942595,0.2057357,0.0027114605,0.041918572,0.57209593],"study_design_scores_gemma":[0.0025586186,0.00047417678,0.32150057,0.0004799386,0.00008217134,0.0001699073,0.0007991419,0.027038565,0.13924533,0.010608309,0.4942892,0.0027540792],"about_ca_topic_score_codex":0.0000018996489,"about_ca_topic_score_gemma":0.000005208628,"teacher_disagreement_score":0.56934184,"about_ca_system_score_codex":0.000043244083,"about_ca_system_score_gemma":0.000009343981,"threshold_uncertainty_score":0.55382276},"labels":[],"label_agreement":null},{"id":"W2397625154","doi":"10.1109/mspec.2016.7473133","title":"Building robots we can trust: The hard work of integrating robots into our world [Spectral Lines]","year":2016,"lang":"en","type":"article","venue":"IEEE Spectrum","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Robot; On the fly; Grid; Factory (object-oriented programming); Computer science; Work (physics); Power grid; Power (physics); Artificial intelligence; Computer security; Engineering; Mechanical engineering; Operating system; Physics","score_opus":0.011441987145390022,"score_gpt":0.23147043572289122,"score_spread":0.2200284485775012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397625154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9440837,0.0013911026,0.02938453,0.017595395,0.0054096063,0.00035847758,0.000010813487,0.00048340327,0.0012829785],"genre_scores_gemma":[0.9940064,0.0001440782,0.0038461324,0.00004937954,0.0011990982,0.000011393918,5.2620004e-7,0.00004682062,0.000696187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99847674,0.0000444196,0.00038821943,0.00027960472,0.0002703614,0.0005406357],"domain_scores_gemma":[0.99921584,0.00012524326,0.000081233775,0.00043847424,0.00002672311,0.000112489455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023586706,0.00027132305,0.00030783901,0.00017471847,0.00014528827,0.00004347455,0.00048758628,0.000092550574,0.00003914809],"category_scores_gemma":[0.00006103696,0.00016029646,0.00015172963,0.00075109594,0.000087744724,0.00013799821,0.000044832035,0.00037793495,0.00002843426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000168903,0.00016989463,0.034569632,0.00041655166,0.0004738815,0.00012116602,0.008735864,0.2444505,0.59923834,0.03209143,0.03563117,0.043932676],"study_design_scores_gemma":[0.001371275,0.0001935185,0.026758578,0.0024810252,0.00010433708,0.00006021308,0.0010014233,0.014573326,0.9262716,0.013495086,0.012196749,0.0014928477],"about_ca_topic_score_codex":0.00013792157,"about_ca_topic_score_gemma":0.0021497447,"teacher_disagreement_score":0.32703328,"about_ca_system_score_codex":0.00015033617,"about_ca_system_score_gemma":0.00003972119,"threshold_uncertainty_score":0.65367},"labels":[],"label_agreement":null},{"id":"W2397915956","doi":"10.1109/tii.2016.2569586","title":"Real-Time Co-Simulation Platform for Smart Grid Volt-VAR Optimization Using IEC 61850","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"IEC 61850; Voltage reduction; Smart grid; Engineering; Control reconfiguration; Real Time Digital Simulator; Embedded system; Circuit breaker; Grid; Real-time computing; Computer science; Reliability engineering; Voltage; Electric power system; Electrical engineering; Automation; Power (physics)","score_opus":0.047467664479714476,"score_gpt":0.266779019787888,"score_spread":0.2193113553081735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397915956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08131299,0.0000018625872,0.914592,0.000021595693,0.0022906906,0.0005960046,0.00026140024,0.00032706908,0.0005963348],"genre_scores_gemma":[0.98099744,0.00016984771,0.017117087,0.00005474668,0.0010895381,0.00008797819,0.00007035673,0.00009291599,0.00032009042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986563,0.000013828107,0.000648014,0.00010083945,0.00025310353,0.0003279261],"domain_scores_gemma":[0.9991027,0.0003411125,0.00011008978,0.0002363044,0.00009308625,0.00011666819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022367705,0.00022005317,0.00023059186,0.00024187955,0.00027854106,0.000069851216,0.000144852,0.00037581616,0.00013937012],"category_scores_gemma":[0.000024788642,0.00018136948,0.00011633995,0.00025919365,0.000061180406,0.001021093,0.0000010324146,0.000216756,0.00007460304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008304752,0.000026086755,0.00000454675,0.000032265078,0.000041475425,2.3473396e-7,0.0004051197,0.9926036,0.0007964486,0.000012712708,0.00061908225,0.0053753816],"study_design_scores_gemma":[0.0015501218,0.00011394713,0.0000023041302,0.00012712732,0.00005308888,0.000004955313,0.00010128866,0.9738347,0.021383004,0.000016784255,0.0025429502,0.00026970665],"about_ca_topic_score_codex":0.000015957065,"about_ca_topic_score_gemma":0.0000038114329,"teacher_disagreement_score":0.8996844,"about_ca_system_score_codex":0.0002505788,"about_ca_system_score_gemma":0.00007673338,"threshold_uncertainty_score":0.7396033},"labels":[],"label_agreement":null},{"id":"W2403168237","doi":"10.21553/rev-jec.63","title":"Geographic-based Routing in Smart Grid’s Neighbor Area Networks","year":2014,"lang":"en","type":"article","venue":"REV Journal on Electronics and Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Geographic routing; Smart grid; Routing protocol; Network packet; Dynamic Source Routing; Engineering","score_opus":0.008571043632367239,"score_gpt":0.21191694457854848,"score_spread":0.20334590094618124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403168237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8372714,0.06769067,0.0713588,0.0076557733,0.0008781146,0.0004963286,0.000007475199,0.00033114673,0.014310301],"genre_scores_gemma":[0.9772113,0.022174133,0.0003008448,0.00020309619,0.00007660229,0.000008100878,0.000006498929,0.000014231371,0.000005171262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915946,0.00010462475,0.00024805166,0.00008492189,0.00009535642,0.00030759335],"domain_scores_gemma":[0.9991146,0.00023985389,0.00005406588,0.00047180723,0.000031858403,0.0000878546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000499897,0.00011021102,0.0001467244,0.00013532868,0.00030458494,0.00007966379,0.00040618028,0.00007369105,0.0000054764027],"category_scores_gemma":[0.000035199948,0.00010159342,0.000058030957,0.00026284467,0.000051438434,0.00007048841,0.000035479403,0.0009964458,0.0000018709766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052314106,0.0004554359,0.043782298,0.000057694768,0.00014256472,0.000008104561,0.00045166293,0.6441966,0.00060449395,0.23282942,0.0010950824,0.07632428],"study_design_scores_gemma":[0.00033379556,0.00010078297,0.008469755,0.00013131644,0.0000121867215,0.000028971726,0.000018485074,0.9495094,0.000029901332,0.0010743963,0.04013616,0.00015488223],"about_ca_topic_score_codex":0.0000068351105,"about_ca_topic_score_gemma":0.00023068531,"teacher_disagreement_score":0.30531272,"about_ca_system_score_codex":0.00005934952,"about_ca_system_score_gemma":0.000031852993,"threshold_uncertainty_score":0.43291163},"labels":[],"label_agreement":null},{"id":"W2406643743","doi":"10.1109/mcs.2016.2536098","title":"Iron Ring [From the Editor]","year":2016,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ceremony; Autonomy; Obligation; Work (physics); Public relations; Engineering; Engineering ethics; Computer science; Political science; Law; History; Mechanical engineering","score_opus":0.005051011692126092,"score_gpt":0.17747794922160817,"score_spread":0.17242693752948207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406643743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7646906,0.010998497,0.06069615,0.0010050173,0.15384816,0.0009832887,0.00017659852,0.0011696205,0.0064320676],"genre_scores_gemma":[0.9805237,0.0000450387,0.000002127348,0.000033672815,0.019191008,0.00003742546,3.7085616e-7,0.000016357972,0.00015031469],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992681,0.000046736888,0.0001662526,0.00012322619,0.00017414283,0.0002215372],"domain_scores_gemma":[0.999231,0.0003955158,0.000024128121,0.00027422665,0.000020028256,0.000055103388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015611612,0.00010585605,0.00014401403,0.000014521663,0.00007133074,0.00004749061,0.0002353636,0.00007413367,0.000011245378],"category_scores_gemma":[0.000028171005,0.00005285489,0.000047231046,0.0000431112,0.000037464895,0.000098167795,0.0000067797387,0.00008257243,0.00028439623],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005663925,0.000037031063,0.012107297,0.0001575634,0.0002847212,0.000038377446,0.0014260175,0.09222451,0.4919277,0.0016634044,0.39453202,0.0055446946],"study_design_scores_gemma":[0.004250305,0.00006851529,0.010953074,0.00091054506,0.00008163337,0.00002348664,0.00032953487,0.1323052,0.0057163094,0.0001600393,0.8443682,0.0008331237],"about_ca_topic_score_codex":0.00012203801,"about_ca_topic_score_gemma":0.000032275577,"teacher_disagreement_score":0.4862114,"about_ca_system_score_codex":0.000044698558,"about_ca_system_score_gemma":0.0000073419733,"threshold_uncertainty_score":0.3655433},"labels":[],"label_agreement":null},{"id":"W2412857209","doi":"10.1017/cbo9781139013468.006","title":"Communications and access technologies for smart grid","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interoperability; Smart grid; NIST; Standardization; Computer science; Architecture; Key (lock); Telecommunications; Systems engineering; Grid; Distributed computing; Computer security; Engineering; Electrical engineering; World Wide Web; Operating system","score_opus":0.03343518942296738,"score_gpt":0.21812524656021431,"score_spread":0.18469005713724693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412857209","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012644849,0.0050884313,0.0010022966,0.000039407256,0.00042773306,0.0005390051,0.00048701122,0.0007987107,0.99149096],"genre_scores_gemma":[0.011862778,0.012727495,0.0007488114,0.000027215849,0.00020199432,0.000010677591,0.0001409575,0.00009140846,0.9741887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937165,0.0000072395856,0.00011204362,0.00019737841,0.00008273785,0.00022894924],"domain_scores_gemma":[0.99899244,0.00011018646,0.000053052558,0.00071427383,0.000059401722,0.000070659225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000054474727,0.00023435985,0.0002463066,0.00014407154,0.00021939978,0.00004631202,0.0009198361,0.00037565667,8.598076e-7],"category_scores_gemma":[0.0000065207882,0.00027273636,0.000086453176,0.0000072953503,0.00042659146,0.00015464296,0.0007006347,0.00037607388,0.000002556473],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018188697,0.0000070520423,0.000014973381,0.00038413858,0.00015002117,0.000008657186,0.00007153946,0.0000090758385,0.000069933005,0.9502029,0.039655384,0.009408132],"study_design_scores_gemma":[0.00019846941,0.000015240015,0.000019213889,0.00009675337,0.00011938451,0.000008758648,0.000040546634,0.0005316408,0.00046973446,0.000029289142,0.99815524,0.00031571498],"about_ca_topic_score_codex":0.000018844403,"about_ca_topic_score_gemma":0.000006656015,"teacher_disagreement_score":0.95849985,"about_ca_system_score_codex":0.00006897203,"about_ca_system_score_gemma":0.00001780621,"threshold_uncertainty_score":0.99997246},"labels":[],"label_agreement":null},{"id":"W2419417536","doi":"","title":"Modeling infrastructure interdependency among floodplain infrastructures with extended Petri-Net","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reachability; Petri net; Stochastic Petri net; Penstock; Computer science; Markov chain; Environmental science; Engineering; Distributed computing; Electrical engineering","score_opus":0.002608947914517971,"score_gpt":0.18708485547075712,"score_spread":0.18447590755623916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419417536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73561746,0.00018406604,0.2505364,0.000007665183,0.00043362216,0.00013602409,0.000004285315,0.000443851,0.012636601],"genre_scores_gemma":[0.99173737,0.000029680505,0.007796985,0.000053628803,0.00023876889,0.0000041353305,0.000010717847,0.000040870025,0.000087857254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985483,0.000012543248,0.00030796643,0.00027439636,0.00033605366,0.00052071817],"domain_scores_gemma":[0.99940103,0.000041493833,0.000023169443,0.00029658063,0.000055282606,0.00018246248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018614359,0.0002847808,0.00021851218,0.00022527779,0.00010733221,0.00006551081,0.00030869522,0.00018915892,0.00037751935],"category_scores_gemma":[0.00002528532,0.00021248632,0.000054178265,0.00034135944,0.00008676285,0.00030798663,0.00005727903,0.00052195595,0.0000140984785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054564884,0.000011272435,0.007561755,0.000073278425,0.000067501875,0.00008642961,0.0012666162,0.9818352,0.0012194021,0.0013707527,0.001061094,0.005392143],"study_design_scores_gemma":[0.00093223795,0.00013705618,0.091135256,0.00011754167,0.0000351232,0.00020124542,0.0017860795,0.8879539,0.013075417,0.0032307827,0.000521141,0.00087426824],"about_ca_topic_score_codex":0.00008041648,"about_ca_topic_score_gemma":0.0013416638,"teacher_disagreement_score":0.2561199,"about_ca_system_score_codex":0.000060950042,"about_ca_system_score_gemma":0.000021675083,"threshold_uncertainty_score":0.86649406},"labels":[],"label_agreement":null},{"id":"W2470910638","doi":"10.1109/tsg.2016.2581588","title":"A Cyber-Physical Control Framework for Transient Stability in Smart Grids","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Cyber-physical system; Smart grid; Latency (audio); Electric power system; Computer science; Controller (irrigation); Resilience (materials science); Transient (computer programming); Control theory (sociology); Grid; Control engineering; Denial-of-service attack; Parametric statistics; Distributed computing; Engineering; Control (management); Power (physics); The Internet; Telecommunications","score_opus":0.013425358785724492,"score_gpt":0.23544209707711625,"score_spread":0.22201673829139176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470910638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35223657,0.00002764126,0.643493,0.00048392484,0.002602423,0.00052353146,0.00029335223,0.00022403698,0.00011549413],"genre_scores_gemma":[0.9983726,0.00005612147,0.00061763223,0.000109251414,0.0003459591,0.0004220964,0.0000018858838,0.000045586705,0.000028878409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983258,0.000066199544,0.00036864434,0.0004164875,0.0002654324,0.0005574143],"domain_scores_gemma":[0.99842405,0.00088980276,0.000024454566,0.0004318392,0.000051028954,0.00017884208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024222829,0.00029281105,0.000386698,0.00015615518,0.0001310038,0.000025225083,0.0002152616,0.00020358067,0.000099296274],"category_scores_gemma":[0.000020926143,0.00022502929,0.000291543,0.0003042041,0.00014820257,0.0002134293,6.685846e-7,0.00040473274,0.00008198625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065672793,0.010870646,0.00601251,0.0019081713,0.0014695462,0.00013063377,0.0207671,0.4160136,0.2787154,0.008069514,0.006962929,0.24251264],"study_design_scores_gemma":[0.021130372,0.0023981133,0.02580122,0.0016918962,0.0004807273,0.000061240404,0.0007084366,0.17342329,0.69421893,0.011105899,0.06470695,0.004272928],"about_ca_topic_score_codex":0.000028329132,"about_ca_topic_score_gemma":0.00033677398,"teacher_disagreement_score":0.646136,"about_ca_system_score_codex":0.00017904355,"about_ca_system_score_gemma":0.00004102462,"threshold_uncertainty_score":0.91764283},"labels":[],"label_agreement":null},{"id":"W2476386814","doi":"10.1109/icc.2016.7510610","title":"Efficient prevention technique for false data injection attack in smart grid","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overhead (engineering); Computer science; Grid; Smart grid; Reliability (semiconductor); Power grid; Computer security; Data integrity; Transmission (telecommunications); Control (management); Real-time computing; Reliability engineering; Distributed computing; Power (physics); Engineering; Telecommunications; Operating system; Electrical engineering; Mathematics; Artificial intelligence","score_opus":0.03227014231548955,"score_gpt":0.2833650108072636,"score_spread":0.2510948684917741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476386814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28352442,0.00007865627,0.7133829,0.00011567698,0.0008674322,0.0007682104,0.00003685942,0.00024982967,0.0009759783],"genre_scores_gemma":[0.996706,0.00003135356,0.0026317213,0.000010662569,0.00013599703,0.00011881431,0.000020146384,0.000013094917,0.00033218725],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945664,0.000012664239,0.00014393879,0.00016863778,0.0000685954,0.00014954286],"domain_scores_gemma":[0.9996058,0.000051230112,0.000011869983,0.00029148144,0.000013935841,0.000025699064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027762842,0.00006901383,0.000072642644,0.00007874819,0.000024408802,0.000008749173,0.00016374153,0.00006629156,0.000028536087],"category_scores_gemma":[0.00004669685,0.000047987938,0.000021329448,0.00011681461,0.0000163685,0.000093677685,0.00004833953,0.000046517805,0.0000244136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023069921,0.000848336,0.012126493,0.0010033721,0.00009134858,0.000011640944,0.00066457526,0.22156449,0.5572233,0.0041089063,0.11924925,0.082877584],"study_design_scores_gemma":[0.002942312,0.00048138088,0.01811638,0.0008757657,0.000032497508,0.000058227324,0.00017106136,0.5456357,0.30475646,0.0014334831,0.12439835,0.001098421],"about_ca_topic_score_codex":0.000012528851,"about_ca_topic_score_gemma":0.00025487732,"teacher_disagreement_score":0.7131816,"about_ca_system_score_codex":0.000047297115,"about_ca_system_score_gemma":0.000010063437,"threshold_uncertainty_score":0.19568913},"labels":[],"label_agreement":null},{"id":"W2481238348","doi":"10.1007/978-3-8348-8652-1_14","title":"Smart Grid Privacy by Design: Ontario’s Advanced Distribution System","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Smart grid; Computer security; Grid; Computer science; Vendor; Privacy by Design; Service (business); Architecture; Information privacy; Telecommunications; Engineering; Business; Marketing; Geography; Electrical engineering","score_opus":0.014094665456062819,"score_gpt":0.1775738796168454,"score_spread":0.1634792141607826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481238348","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023253991,0.0018465032,0.1270816,0.000015033095,0.004197302,0.00080569874,0.00026778204,0.0013584564,0.8641951],"genre_scores_gemma":[0.06063893,0.0008193516,0.0017021373,0.000049773684,0.00068135344,0.00009275027,0.0016442552,0.0002410355,0.93413043],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986997,0.000009396553,0.0003589704,0.00034392334,0.00026155784,0.0003264495],"domain_scores_gemma":[0.99925375,0.00003849231,0.00006742327,0.00044446814,0.000050231032,0.0001456395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010897125,0.00042402887,0.00039647787,0.000046787798,0.00008702586,0.00003554082,0.00035092313,0.0004474205,0.00068406365],"category_scores_gemma":[0.0000056047743,0.0003921067,0.00013425027,0.000021676115,0.000053932516,0.00014221325,0.00006561657,0.0004990128,0.000570299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016369073,0.00007267441,0.00008653201,0.0019088872,0.0006400986,0.00018995978,0.0015567796,0.0034847301,0.00083132595,0.2588269,0.72369516,0.00854326],"study_design_scores_gemma":[0.00022494623,0.00006711246,0.000047902857,0.00038330618,0.00005824679,0.00003124431,0.000009718637,0.00049054954,0.0016500134,0.00049862434,0.99588686,0.0006514642],"about_ca_topic_score_codex":0.00064546004,"about_ca_topic_score_gemma":0.0011701616,"teacher_disagreement_score":0.2721917,"about_ca_system_score_codex":0.00066032284,"about_ca_system_score_gemma":0.00006213177,"threshold_uncertainty_score":0.9998531},"labels":[],"label_agreement":null},{"id":"W2491654193","doi":"10.1109/smartcomp.2016.7501683","title":"Client-Catered Control of Engineered Spaces with Software-Defined Sensors and Actuators","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomembrane Technologies (Canada)","funders":"Washington State University; National Science Foundation","keywords":"Computer science; Actuator; Software; Wireless sensor network; Node (physics); Control (management); Event (particle physics); Routing (electronic design automation); Software-defined networking; Embedded system; Real-time computing; Computer network; Engineering; Operating system; Artificial intelligence","score_opus":0.003797427095720931,"score_gpt":0.1657421679484991,"score_spread":0.16194474085277819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491654193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167376,0.000117115815,0.08237373,0.000114562514,0.000113543436,0.00010988308,0.0000134137545,0.00021375007,0.00020637877],"genre_scores_gemma":[0.997931,0.00007893728,0.0017894505,0.000013270901,0.00002783514,0.000005302118,5.984745e-7,0.000017438362,0.00013619335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942243,0.000009805325,0.0001341684,0.0001266286,0.00011555153,0.00019139222],"domain_scores_gemma":[0.99956775,0.0001570887,0.000020795762,0.00014558816,0.000027631515,0.000081130114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054754433,0.00012786106,0.00018381195,0.00006685914,0.000020422498,0.000011046314,0.00006840617,0.000057953373,0.00005376555],"category_scores_gemma":[0.000040914318,0.00006978642,0.000024196219,0.00008196034,0.00008997159,0.000097035496,0.000010106153,0.000042632622,0.000011496818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013407834,0.00036716688,0.325033,0.0016150986,0.0018410922,0.00010013963,0.008233269,0.03918034,0.5359158,0.015788484,0.0051168073,0.065468006],"study_design_scores_gemma":[0.02451798,0.0017366317,0.15231977,0.0011531229,0.00036776604,0.00021469724,0.0015878478,0.036068935,0.7562325,0.00092962617,0.02151248,0.0033586707],"about_ca_topic_score_codex":0.0000099462995,"about_ca_topic_score_gemma":0.00001484302,"teacher_disagreement_score":0.22031668,"about_ca_system_score_codex":0.000010611594,"about_ca_system_score_gemma":0.00000842928,"threshold_uncertainty_score":0.28458077},"labels":[],"label_agreement":null},{"id":"W2501559741","doi":"10.1016/j.epsr.2016.07.004","title":"Protection of smart substation based on WLAN complies with IEC 61850 using traveling wave analysis","year":2016,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"IEC 61850; Engineering; Transient (computer programming); Electronic engineering; Real Time Digital Simulator; Electrical engineering; Automation; Electric power system; Computer science; Power (physics)","score_opus":0.058197607398362806,"score_gpt":0.2836300815464427,"score_spread":0.2254324741480799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501559741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7182376,0.00024041161,0.28037113,0.000023035604,0.00012247315,0.00047409371,0.0000059591703,0.00007259976,0.0004527001],"genre_scores_gemma":[0.99973077,0.000016677766,0.00007754184,0.0000014542012,0.000039792918,0.000043217035,0.0000022937372,0.000022288517,0.0000659975],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979076,0.00025614793,0.00028183352,0.00024766548,0.0008601977,0.00044659042],"domain_scores_gemma":[0.9990069,0.0002772602,0.000053166943,0.00028921204,0.00029518895,0.00007824533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107037,0.00013146503,0.00026514562,0.001048985,0.0001512629,0.00004701709,0.000131254,0.000091456495,0.000016920898],"category_scores_gemma":[0.00008087468,0.000086982625,0.00006208494,0.0027853455,0.00006027658,0.0001029772,0.000008174202,0.00025495552,0.000010698518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006346688,0.00017771438,0.0068180254,0.0006589395,0.0007506653,0.000040145595,0.0015264226,0.34298652,0.64369565,0.00042596326,0.00012371388,0.0021615298],"study_design_scores_gemma":[0.00037813047,0.0004256265,0.005268026,0.00025781227,0.00003370585,0.000008842015,0.00014376098,0.9536529,0.0395361,0.000008699644,0.00012782113,0.00015858235],"about_ca_topic_score_codex":0.00034120324,"about_ca_topic_score_gemma":0.00009219143,"teacher_disagreement_score":0.61066633,"about_ca_system_score_codex":0.00026612723,"about_ca_system_score_gemma":0.000085612315,"threshold_uncertainty_score":0.35470486},"labels":[],"label_agreement":null},{"id":"W2512333035","doi":"10.1109/tsg.2016.2600585","title":"Intrusion Detection and Prevention for ZigBee-Based Home Area Networks in Smart Grids","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intrusion detection system; Computer science; Soundness; Intrusion prevention system; Smart grid; Intrusion; Computer security; Set (abstract data type); Computer network; Engineering","score_opus":0.010711888356042934,"score_gpt":0.20931009414443172,"score_spread":0.19859820578838877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512333035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30660066,0.00006784511,0.6902883,0.000092469105,0.0023695868,0.0003517756,0.000023589782,0.00017492668,0.000030842424],"genre_scores_gemma":[0.9988233,0.00028037681,0.00033091102,0.00003785382,0.00019420986,0.00022131059,0.0000039998336,0.000033528213,0.000074526935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893403,0.000042287826,0.00027904246,0.00028962377,0.00013787627,0.0003171407],"domain_scores_gemma":[0.99943197,0.00020548992,0.000030347197,0.00020183416,0.00003407374,0.00009628923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021842809,0.00020187137,0.00019512151,0.00026783344,0.00015870541,0.000029035811,0.00008682133,0.00019174299,0.000036899015],"category_scores_gemma":[0.0000063211905,0.00016592485,0.0001040948,0.0002678333,0.00006483633,0.0002368084,0.0000010648246,0.00020757689,0.000011090534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007186683,0.00033709503,0.00087372103,0.0002592803,0.00008548522,0.000009403214,0.00025003392,0.5329578,0.066161014,0.000029628805,0.00055396685,0.39776388],"study_design_scores_gemma":[0.0069840373,0.0012385466,0.019772714,0.00096874457,0.00012319665,0.000040667608,0.000078848454,0.7423714,0.21502692,0.00068247755,0.011464826,0.0012476163],"about_ca_topic_score_codex":0.00002076025,"about_ca_topic_score_gemma":0.00094399386,"teacher_disagreement_score":0.69222265,"about_ca_system_score_codex":0.0001215271,"about_ca_system_score_gemma":0.00001848426,"threshold_uncertainty_score":0.6766219},"labels":[],"label_agreement":null},{"id":"W2520341668","doi":"10.1109/cscwd.2016.7566033","title":"Effects of cyber attacks on islanded microgrid frequency control","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Microgrid; Denial-of-service attack; Computer science; Benchmark (surveying); Computer security; Automatic frequency control; Cyber-attack; Control (management); Cyber-physical system; Computer network; Telecommunications; The Internet","score_opus":0.002300246684534168,"score_gpt":0.1772631313930982,"score_spread":0.17496288470856405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520341668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783923,0.00051353016,0.004584719,0.00014256002,0.0007054361,0.0002107389,0.000008436037,0.0001936917,0.015248562],"genre_scores_gemma":[0.9993718,0.0000995076,0.00009971691,0.0000787412,0.00009238007,0.000008788197,3.1454167e-7,0.000010494777,0.00023825886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951863,0.000014611266,0.000115176284,0.000095928845,0.00009159099,0.00016406573],"domain_scores_gemma":[0.9995611,0.00023243314,0.00001286885,0.00013306217,0.000016992426,0.00004354776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004254186,0.00009094006,0.00013262633,0.000039531074,0.00001531701,0.000004235124,0.00009804455,0.000063156025,0.00013077234],"category_scores_gemma":[0.00002981404,0.000051975898,0.000050510527,0.00005173177,0.00003966565,0.000048982267,0.0000060508587,0.000052376738,0.00016277819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020974305,0.000059130904,0.003543472,0.00013611524,0.00006534475,0.00001603857,0.00013079797,0.00012856568,0.9782946,0.0021271072,0.0077257613,0.007752074],"study_design_scores_gemma":[0.0023521686,0.00015844846,0.021178426,0.00019356469,0.000020263138,0.000005192917,0.0000052342757,0.0004250699,0.97117364,0.00043652835,0.0038101892,0.00024127822],"about_ca_topic_score_codex":0.000010283663,"about_ca_topic_score_gemma":0.000013138302,"teacher_disagreement_score":0.020979472,"about_ca_system_score_codex":0.000016218988,"about_ca_system_score_gemma":0.000005431269,"threshold_uncertainty_score":0.21195157},"labels":[],"label_agreement":null},{"id":"W2526944246","doi":"10.1109/tsg.2015.2463742","title":"Lightweight Security and Privacy Preserving Scheme for Smart Grid Customer-Side Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"NTRU; Smart grid; Computer science; Cryptosystem; Computer security; Overhead (engineering); Scheme (mathematics); Cryptography; Security analysis; Electricity; Computer network; Homomorphic encryption; Smart card; Encryption; Engineering","score_opus":0.019198716003571446,"score_gpt":0.23379712793844076,"score_spread":0.2145984119348693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526944246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45589462,0.0021396151,0.5116426,0.00083115237,0.021088036,0.001788983,0.0002815343,0.0016055204,0.0047279755],"genre_scores_gemma":[0.99558127,0.0005254712,0.001867076,0.00015054841,0.0012906288,0.00023696538,0.00002087477,0.0000878486,0.00023932269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980995,0.000055033783,0.00041190156,0.00046933812,0.00032665138,0.00063754513],"domain_scores_gemma":[0.99863267,0.00022371707,0.000049898666,0.0005232431,0.00012514423,0.00044529923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036353111,0.0003825634,0.0003797959,0.00020421292,0.00033254214,0.000111981055,0.0003437889,0.0002753894,0.000039294304],"category_scores_gemma":[0.000021648473,0.00037503865,0.00016748204,0.00037851286,0.000117134485,0.0005031884,0.000008248523,0.0006144772,0.00006338771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009860635,0.0011714994,0.0029884682,0.0014420273,0.0010217158,0.00008921055,0.010638077,0.756757,0.004540153,0.00051210367,0.20944595,0.010407707],"study_design_scores_gemma":[0.002753822,0.00035524147,0.0006467836,0.00024950458,0.00017216793,0.00010383485,0.00031350783,0.56129414,0.040623713,0.0004072846,0.3917829,0.0012970915],"about_ca_topic_score_codex":0.00006602229,"about_ca_topic_score_gemma":0.00019027066,"teacher_disagreement_score":0.5396866,"about_ca_system_score_codex":0.000111051646,"about_ca_system_score_gemma":0.000055415676,"threshold_uncertainty_score":0.9998702},"labels":[],"label_agreement":null},{"id":"W2529866846","doi":"10.1145/2886100","title":"Game-Theory-Based Active Defense for Intrusion Detection in Cyber-Physical Embedded Systems","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Intrusion detection system; Cyber-physical system; Game theory; Nash equilibrium; Computer security; Wireless sensor network; Wireless; Distributed computing; Artificial intelligence; Computer network; Mathematical optimization; Telecommunications","score_opus":0.010452567056513075,"score_gpt":0.23564567033155162,"score_spread":0.22519310327503855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529866846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40143323,0.000052001255,0.5949105,0.000017723638,0.002289292,0.0007202048,0.000034482586,0.00045101333,0.000091582406],"genre_scores_gemma":[0.99889874,0.000009310753,0.00034037992,0.000015087392,0.0003806412,0.00021421151,0.000005272343,0.00007613102,0.00006024986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977255,0.00032589576,0.00053734274,0.00051817903,0.0003239666,0.0005691197],"domain_scores_gemma":[0.99703044,0.001940656,0.00011140825,0.000665582,0.00011295565,0.00013893259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060690625,0.00036695792,0.0004902292,0.00040252646,0.00022783942,0.000082604936,0.00036377792,0.00025180975,0.0000032901],"category_scores_gemma":[0.0001130369,0.0002970956,0.00020700079,0.00048226697,0.00007958568,0.00018906202,0.000007531206,0.0003436618,0.000049461927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034549247,0.00020283804,0.000014168468,0.0003998894,0.00010035105,0.00000865822,0.0026100778,0.9190671,0.022615908,0.0005722892,0.000019832547,0.054043416],"study_design_scores_gemma":[0.0024098058,0.0002929136,0.00010029364,0.0012960994,0.000059453676,0.00003127489,0.0014685384,0.94370925,0.0491581,0.00042627996,0.0004497196,0.00059828133],"about_ca_topic_score_codex":0.000048899914,"about_ca_topic_score_gemma":0.00003555056,"teacher_disagreement_score":0.5974655,"about_ca_system_score_codex":0.00043466836,"about_ca_system_score_gemma":0.00004332644,"threshold_uncertainty_score":0.99994814},"labels":[],"label_agreement":null},{"id":"W2532488885","doi":"10.1109/epc.2008.4763353","title":"I2Sim: A matrix-partition based framework for critical infrastructure interdependencies simulation","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada); University of British Columbia","funders":"","keywords":"Interdependence; Computer science; Partition (number theory); Critical infrastructure; Distributed computing; Mathematics","score_opus":0.015946418971012625,"score_gpt":0.28872423775926215,"score_spread":0.2727778187882495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532488885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12302351,0.000067130786,0.8753838,0.00013237055,0.00050982716,0.00013180537,0.000010978029,0.0002895599,0.00045102407],"genre_scores_gemma":[0.9576038,0.0000076844835,0.04198518,0.00012117767,0.00021248177,0.000019690326,0.000009513601,0.000013506866,0.000026929341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994237,0.000009511867,0.00014142123,0.0001159509,0.00012522326,0.00018418043],"domain_scores_gemma":[0.99932635,0.00043770118,0.000008470298,0.00011659786,0.000053845913,0.00005704904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043361637,0.00009738996,0.00009806824,0.000055719807,0.00011327771,0.00002104168,0.0000766549,0.00014360114,0.00027688654],"category_scores_gemma":[0.00029052974,0.00008799539,0.00005466065,0.000106338724,0.00006384946,0.00015346188,0.000009677295,0.00014345818,0.000022766486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024362904,0.00001636653,0.0006315228,0.000114032184,0.0000071022546,0.0000046267783,0.00037918502,0.9795094,0.0006061739,0.016234575,0.002204785,0.0002678525],"study_design_scores_gemma":[0.0001547253,0.00004132863,0.0024335247,0.000032861666,0.000007256752,0.000007105021,0.000068509464,0.97684836,0.0044243834,0.01333182,0.0025075788,0.0001425529],"about_ca_topic_score_codex":0.0000015843706,"about_ca_topic_score_gemma":0.000004199616,"teacher_disagreement_score":0.8345803,"about_ca_system_score_codex":0.000030505294,"about_ca_system_score_gemma":0.000016057304,"threshold_uncertainty_score":0.35883477},"labels":[],"label_agreement":null},{"id":"W2534008310","doi":"10.1109/icpst.2008.4745159","title":"A Framework For Special Protection System Modeling For Dynamic Security Assessment of Power Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Flexibility (engineering); Modular design; Computer science; Electric power system; Line (geometry); Systems engineering; Software engineering; Embedded system; Distributed computing; Reliability engineering; Power (physics); Engineering; Operating system","score_opus":0.01929909855792545,"score_gpt":0.26016827356562783,"score_spread":0.24086917500770239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534008310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1976318,0.000085829226,0.7982112,0.000008490901,0.0017622351,0.0012861862,0.000025803873,0.00017253045,0.00081589696],"genre_scores_gemma":[0.98861593,0.000013245903,0.01060077,0.0000020667173,0.0003543258,0.00036709834,0.0000043572227,0.000021837373,0.000020393405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917436,0.000012859156,0.00029438137,0.00015811213,0.00015530769,0.00020500185],"domain_scores_gemma":[0.99960047,0.00006225661,0.000040418407,0.00015565066,0.00009868047,0.000042499654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017287268,0.00011767312,0.00022919348,0.000066191875,0.00011777986,0.000014364915,0.00009635682,0.00015397342,0.000004428965],"category_scores_gemma":[0.000023997596,0.00010697846,0.00010504158,0.000098905584,0.000018764722,0.00008603055,0.000010748054,0.00012445371,0.0000012295972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038054906,0.0000511508,0.000049216513,0.0025044882,0.00006300935,0.0000013873424,0.0008830905,0.92854553,0.00079661066,0.066837244,0.00018187643,0.000048354254],"study_design_scores_gemma":[0.00023900096,0.00008525567,0.00004040061,0.0001833799,0.000010463236,0.000016984572,0.00062667194,0.9976185,0.0002495937,0.0005598233,0.00024025136,0.00012966199],"about_ca_topic_score_codex":0.000021275786,"about_ca_topic_score_gemma":0.0000112150165,"teacher_disagreement_score":0.7909841,"about_ca_system_score_codex":0.00014992543,"about_ca_system_score_gemma":0.00003148385,"threshold_uncertainty_score":0.43624553},"labels":[],"label_agreement":null},{"id":"W2534352062","doi":"10.1109/apap.2011.6180370","title":"A concept of Smart Substation Automation System","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"IEC 61850; Smart grid; Computer science; Distributed computing; Automation; Microgrid; Context (archaeology); Electric power system; Process automation system; Variety (cybernetics); Embedded system; Systems engineering; Engineering; Power (physics); Control (management); Electrical engineering","score_opus":0.012881953756282673,"score_gpt":0.1876565766737971,"score_spread":0.17477462291751442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534352062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91483015,0.0000903518,0.038673416,0.000002398148,0.00043722236,0.0000908853,0.000002246959,0.0004351097,0.045438234],"genre_scores_gemma":[0.998937,0.0000023693776,0.0010019735,0.0000025174209,0.0000132802015,0.0000033256874,0.0000016929182,0.000003872219,0.00003397431],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973714,0.000007003356,0.0001042209,0.000038027454,0.000057880723,0.000055701767],"domain_scores_gemma":[0.99987435,0.000010296442,0.000013346822,0.00006442763,0.000020490963,0.000017111399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003905902,0.000034612407,0.00005298665,0.000029034156,0.000011104752,0.000002289339,0.00003994125,0.000027768592,0.000069546964],"category_scores_gemma":[0.0000035336582,0.000030294414,0.000015211831,0.00006953507,0.000016294513,0.00007916342,0.0000030755712,0.000022160202,0.000029306155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096988995,0.00027607247,0.022421462,0.0042743837,0.0003020483,0.00003548446,0.1544887,0.044338394,0.06306142,0.6644699,0.013515596,0.032719538],"study_design_scores_gemma":[0.00032614634,0.00007180551,0.04218434,0.000095370684,0.000015464608,0.000011295786,0.0027833448,0.45022365,0.50360423,0.00013957515,0.00035737228,0.00018741464],"about_ca_topic_score_codex":0.00003922496,"about_ca_topic_score_gemma":0.000018526305,"teacher_disagreement_score":0.6643303,"about_ca_system_score_codex":0.00001274939,"about_ca_system_score_gemma":0.0000036201325,"threshold_uncertainty_score":0.123537034},"labels":[],"label_agreement":null},{"id":"W2536163802","doi":"10.1109/sge.2012.6463964","title":"Low-latency smart grid asset monitoring for load control of energy-efficient buildings","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Transformer; Grid; Computer network; Real-time computing; Reliability engineering; Electrical engineering; Engineering","score_opus":0.007676766973091317,"score_gpt":0.21296231598534013,"score_spread":0.20528554901224882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536163802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83982766,0.0016208179,0.15244977,0.000026934966,0.003853556,0.0001745611,0.000023061795,0.00019536767,0.0018282572],"genre_scores_gemma":[0.9980969,0.00005638557,0.0010401022,0.000016119178,0.0006644742,0.000033379263,0.0000023098444,0.000019742332,0.00007059438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904054,0.000008912627,0.00023431092,0.00011360326,0.00019806637,0.00040458376],"domain_scores_gemma":[0.9995042,0.000112539834,0.000031301744,0.00016227791,0.00007253264,0.00011714001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002273079,0.00013489634,0.00019147187,0.000055971715,0.000052449785,0.000012372844,0.00014527186,0.00008633415,0.000022754537],"category_scores_gemma":[0.000040228264,0.00011677603,0.000094206545,0.00011535372,0.000030212828,0.00011627403,0.00001928385,0.00007682855,0.00000911296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015940025,0.0009332636,0.1142955,0.0011746172,0.00039328076,0.000004873928,0.00270825,0.40191767,0.4384657,0.02136359,0.009090416,0.00949342],"study_design_scores_gemma":[0.001573246,0.0001060999,0.010727352,0.00014855222,0.00006350457,0.000009845599,0.0002470204,0.131423,0.822658,0.00007287224,0.03240884,0.00056165515],"about_ca_topic_score_codex":0.000030337998,"about_ca_topic_score_gemma":0.0000029691912,"teacher_disagreement_score":0.3841923,"about_ca_system_score_codex":0.00005713487,"about_ca_system_score_gemma":0.000015010899,"threshold_uncertainty_score":0.47619882},"labels":[],"label_agreement":null},{"id":"W2536716938","doi":"10.1109/sge.2012.6463974","title":"Wireless communication requirements selection according to PMUs data transmission standard for smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Smart grid; Computer science; Wireless; Transmission (telecommunications); Data transmission; Computer network; Communications system; Telecommunications; Engineering; Electrical engineering","score_opus":0.0521450960890757,"score_gpt":0.30715432265077897,"score_spread":0.2550092265617033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536716938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36800006,0.00041949286,0.6272255,0.00025357012,0.00089659955,0.0006051347,0.000051847976,0.00038469626,0.0021631056],"genre_scores_gemma":[0.98403245,0.00016879666,0.015289735,0.000060539016,0.00020998366,0.000024828945,0.00012714101,0.0000210512,0.00006545947],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925786,0.000021323494,0.00016967977,0.00013216927,0.0001464487,0.00027254206],"domain_scores_gemma":[0.9993925,0.00005308592,0.000015295911,0.00038274756,0.000037019825,0.00011935046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041759427,0.00009773052,0.000108996726,0.00005803288,0.000156792,0.000034581844,0.00034573968,0.000059633854,0.000032417465],"category_scores_gemma":[0.000015290401,0.00009003099,0.000022341323,0.0001681466,0.0000108289505,0.0006500872,0.00006660019,0.000089293666,0.000017682722],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059266173,0.00034444893,0.03736516,0.0010127529,0.00024445742,6.8660904e-7,0.0068510654,0.01297023,0.24013962,0.0036918784,0.17617495,0.52061206],"study_design_scores_gemma":[0.0010563666,0.000151243,0.0034343551,0.00024308568,0.00006387087,0.000011290701,0.0010152949,0.18520969,0.14045352,0.00011235284,0.6675979,0.0006510128],"about_ca_topic_score_codex":0.00002744329,"about_ca_topic_score_gemma":0.000044071552,"teacher_disagreement_score":0.6160324,"about_ca_system_score_codex":0.00007229237,"about_ca_system_score_gemma":0.000011007315,"threshold_uncertainty_score":0.3671357},"labels":[],"label_agreement":null},{"id":"W2537543866","doi":"10.1109/iecon.2008.4758425","title":"Performance assessment and compensation for secure networked control systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"British Columbia Institute of Technology; National Science Foundation","keywords":"Computer science; Popularity; Controller (irrigation); Network security; Compensation (psychology); Wireless sensor network; Embedded system; Computer network; Computer security","score_opus":0.01138690222093688,"score_gpt":0.2135479944362108,"score_spread":0.20216109221527392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537543866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93643785,0.0003395762,0.059817135,0.00003010958,0.0005444697,0.00033331275,0.0000034023074,0.0001358374,0.0023583148],"genre_scores_gemma":[0.9990061,0.00021030291,0.00046077513,0.000026475658,0.00015883197,0.000037643174,0.0000047998046,0.0000070460687,0.00008801228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996423,0.000007177521,0.000095708645,0.00007062223,0.000065201966,0.000118987366],"domain_scores_gemma":[0.9998207,0.00005042878,0.000010625339,0.000060552073,0.0000224346,0.000035257377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071030896,0.00006228105,0.000095415424,0.00001784065,0.00010216906,0.0000131845545,0.000035476256,0.000039135328,0.0000048961197],"category_scores_gemma":[0.0000016227967,0.000051798528,0.000013884392,0.000035883386,0.000022940772,0.000082379476,0.000003900101,0.000050473678,0.0000024064414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014435484,0.000013241138,0.021323439,0.000237729,0.000035239857,0.0000017920527,0.00031152958,0.96905,0.00046954045,0.0022905387,0.0055233,0.0007292505],"study_design_scores_gemma":[0.00046879015,0.000033596534,0.02810951,0.0000146473085,0.0000049586165,0.000018525148,0.000036771362,0.96710175,0.000042847394,0.0000038194103,0.004089859,0.00007491607],"about_ca_topic_score_codex":0.000004193899,"about_ca_topic_score_gemma":0.0000034606944,"teacher_disagreement_score":0.06256827,"about_ca_system_score_codex":0.000019311763,"about_ca_system_score_gemma":0.000008067904,"threshold_uncertainty_score":0.21122827},"labels":[],"label_agreement":null},{"id":"W2537686001","doi":"10.1109/isgt-asia.2011.6167151","title":"Smart grid authentication and key management for unicast and multicast communications","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer security; Key management; Computer network; Mutual authentication; Authentication (law); Encryption","score_opus":0.03479162438146532,"score_gpt":0.23043200063838123,"score_spread":0.1956403762569159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537686001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72354263,0.0033122452,0.1295184,0.0015874081,0.0010993469,0.002630757,0.000069033864,0.0010492954,0.13719091],"genre_scores_gemma":[0.970969,0.00084266433,0.027914356,0.00002817435,0.000013761005,0.000044272547,0.0000072311545,0.000008018663,0.00017247506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968845,0.0000072517023,0.000091586095,0.00008593513,0.000032435215,0.00009435472],"domain_scores_gemma":[0.9996045,0.000037665246,0.000008313982,0.00028780094,0.0000148902545,0.000046835423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073643525,0.000057380897,0.000054771084,0.000035771995,0.00008553914,0.000016494661,0.00011775092,0.000026705997,0.000013598426],"category_scores_gemma":[0.00000585804,0.00005225393,0.000011196205,0.000042457446,0.00009038912,0.00007275076,0.00008004742,0.000039316197,0.0000071321388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000685239,0.00055707933,0.014961151,0.0014203783,0.00045835672,0.000005414397,0.030503532,0.00014402898,0.003022408,0.88790613,0.0070635006,0.05388952],"study_design_scores_gemma":[0.0018292486,0.00013431373,0.28475714,0.000119860386,0.00020629511,0.000032929398,0.0036401995,0.56093717,0.0032176876,0.004524149,0.13986592,0.0007350986],"about_ca_topic_score_codex":0.000011121502,"about_ca_topic_score_gemma":0.00005182725,"teacher_disagreement_score":0.88338196,"about_ca_system_score_codex":0.0000061706587,"about_ca_system_score_gemma":0.0000011627051,"threshold_uncertainty_score":0.21308535},"labels":[],"label_agreement":null},{"id":"W2544089229","doi":"10.1109/tic-sth.2009.5444418","title":"Predicting electric power system restoration","year":2009,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Electric power system; Universality (dynamical systems); Computer science; Electric power; Reliability engineering; Power grid; Maintenance engineering; Nuclear power; Power (physics); Engineering","score_opus":0.0037085276788835003,"score_gpt":0.18099760182427063,"score_spread":0.17728907414538714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544089229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91887766,0.00027357248,0.0058843014,0.00004140912,0.00039963613,0.00007019803,2.4342586e-7,0.00091123645,0.07354175],"genre_scores_gemma":[0.9996642,0.000007633418,0.00012486512,0.000025673215,0.000094012605,0.0000013227253,6.966528e-7,0.0000038870526,0.0000777064],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996478,0.000006375264,0.00008535904,0.000061384955,0.000083562874,0.00011549974],"domain_scores_gemma":[0.99986094,0.000010077202,0.0000067824294,0.00008053563,0.00001219796,0.000029438097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005676493,0.000048063113,0.00004759785,0.000044403994,0.000041230214,0.000018436971,0.000050008635,0.00003956428,0.000010254971],"category_scores_gemma":[0.000008796502,0.000042044805,0.00001502136,0.00015782769,0.0000024155863,0.00009933358,0.000002053674,0.000069129535,0.000046248133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053797787,0.00016386695,0.016672973,0.0004393996,0.00008991147,0.00012267474,0.0058398508,0.3620005,0.41500005,0.12515786,0.055472597,0.018986525],"study_design_scores_gemma":[0.00022999883,0.00016428246,0.0348665,0.000066254324,0.000009171215,0.000050199968,0.00039070862,0.9287878,0.031592976,0.000097596276,0.0034596452,0.00028484612],"about_ca_topic_score_codex":0.0000029621538,"about_ca_topic_score_gemma":0.000002542646,"teacher_disagreement_score":0.5667873,"about_ca_system_score_codex":0.000041962467,"about_ca_system_score_gemma":0.0000046584482,"threshold_uncertainty_score":0.17145374},"labels":[],"label_agreement":null},{"id":"W2546462601","doi":"10.1109/ccece.2016.7726671","title":"Implementing self-healing distribution systems via fault location, isolation and service restoration","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada); Powertech Labs (Canada)","funders":"","keywords":"Interoperability; Fault management; Distribution management system; Fault (geology); Automation; Smart grid; Computer science; Systems engineering; Service (business); Electric power system; Reliability engineering; Fault detection and isolation; Isolation (microbiology); Self-healing; Distributed computing; Engineering; Power (physics); Electrical engineering; Operating system; Artificial intelligence","score_opus":0.006471445568848631,"score_gpt":0.21072932748628265,"score_spread":0.20425788191743402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546462601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31325918,0.00020537696,0.68521607,0.00029554585,0.00030093527,0.00014779696,0.0000068566605,0.0003341774,0.00023403918],"genre_scores_gemma":[0.9993215,0.00006430654,0.00036872007,0.000019576066,0.00014843141,0.000011834658,0.000038270326,0.0000076643455,0.000019666011],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940413,0.000020647516,0.00018867113,0.00011327441,0.000101136706,0.00017211598],"domain_scores_gemma":[0.9996745,0.00004037509,0.00003093148,0.000094184776,0.00011959251,0.000040428287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216984,0.00007305791,0.000061817744,0.000027483999,0.00014181694,0.00004397745,0.000039053197,0.000054697157,0.0000065351937],"category_scores_gemma":[0.000015409292,0.000055076278,0.0000073814235,0.00017130809,0.000006627873,0.00035573126,0.000016249247,0.000035684658,0.00002072343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006413998,0.00016353522,0.084140725,0.004737667,0.00028433913,0.0000060072884,0.009759531,0.22901803,0.52796274,0.07185291,0.0115901325,0.060420264],"study_design_scores_gemma":[0.0003014836,0.000016910128,0.009665024,0.000104821986,0.000014417191,0.000010764169,0.00026877844,0.9700264,0.003990953,0.00011959151,0.015287826,0.00019303912],"about_ca_topic_score_codex":0.000109774664,"about_ca_topic_score_gemma":0.00018450813,"teacher_disagreement_score":0.74100834,"about_ca_system_score_codex":0.00007944965,"about_ca_system_score_gemma":0.00000895766,"threshold_uncertainty_score":0.22459453},"labels":[],"label_agreement":null},{"id":"W2547586878","doi":"10.1109/ccece.2016.7726665","title":"Control verification via off-line co-simulation","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Overlay; Microgrid; Smart grid; Computer science; Renewable energy; Line (geometry); Power-line communication; Grid; Control system; Simulation; Communications system; Energy management system; Energy (signal processing); Control (management); Power (physics); Embedded system; Energy management; Engineering; Electrical engineering; Computer network","score_opus":0.008590472885227232,"score_gpt":0.23092445576222648,"score_spread":0.22233398287699924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547586878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21463056,0.00008631595,0.78072923,0.00020300092,0.00030065855,0.00010826331,0.0000050916656,0.0003160133,0.0036208672],"genre_scores_gemma":[0.99948585,0.000030972013,0.00009332635,0.000045182373,0.00012288913,0.000004826643,0.000002579319,0.000006857812,0.00020751188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996604,0.000008061523,0.00009546264,0.00007125127,0.00007290903,0.00009196338],"domain_scores_gemma":[0.99975514,0.00007020484,0.000009201257,0.00011327429,0.000020616873,0.000031537475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056067667,0.00005092778,0.000054126223,0.000026233562,0.000024053614,0.000006703179,0.000050179893,0.00004226697,0.0002107795],"category_scores_gemma":[0.000016825246,0.00003289738,0.000018325016,0.000043502623,0.000018095963,0.000110249115,0.0000020265643,0.000025768315,0.00036424282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047284742,0.000047607024,0.0033225133,0.00003448806,0.000040203515,0.000002489991,0.00017455574,0.43267092,0.42309913,0.003354399,0.0027151336,0.13449128],"study_design_scores_gemma":[0.0007250415,0.000024753328,0.009974905,0.000012720004,0.000005890478,0.0000014495653,0.000005016244,0.9124179,0.039344393,0.00019177893,0.037162386,0.00013378277],"about_ca_topic_score_codex":0.0000023831449,"about_ca_topic_score_gemma":0.0000044819117,"teacher_disagreement_score":0.7848553,"about_ca_system_score_codex":0.00002032133,"about_ca_system_score_gemma":0.000003218703,"threshold_uncertainty_score":0.4681726},"labels":[],"label_agreement":null},{"id":"W2560064556","doi":"10.1109/epec.2016.7771715","title":"Anomaly detection in a smart grid using wavelet transform, variance fractal dimension and an artificial neural network","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Wavelet transform; Wavelet; Artificial neural network; Computer science; Pattern recognition (psychology); Fractal dimension; Fractal; Dimension (graph theory); Artificial intelligence; Variance (accounting); Smart grid; Anomaly detection; Anomaly (physics); Algorithm; Mathematics; Engineering","score_opus":0.011057492620493261,"score_gpt":0.21583007011549304,"score_spread":0.20477257749499977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560064556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97237283,0.00005393383,0.026388373,0.00005396674,0.0007772037,0.000113549315,0.0000022311913,0.00011258704,0.00012532243],"genre_scores_gemma":[0.99884176,0.000027569471,0.0006315049,0.000027230912,0.00044753464,0.0000035931332,9.783387e-7,0.000014089116,0.0000057215457],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999248,0.000034273406,0.00017603477,0.0001796288,0.00008714887,0.00027487238],"domain_scores_gemma":[0.99977124,0.000037971688,0.000012658848,0.00009689945,0.00001047504,0.00007072791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015456275,0.000115944684,0.000119338634,0.00005431319,0.000079781465,0.000025812647,0.00004689108,0.00009212019,0.00001862464],"category_scores_gemma":[0.000006956233,0.0000852866,0.000022205097,0.00015707662,0.000038662016,0.00044095202,0.0000102078975,0.00010858399,0.0000039213674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015527125,0.00007577171,0.0070504504,0.000051736806,0.000019143758,0.00005841778,0.00090982276,0.065523885,0.73526186,0.00035162203,0.000049244863,0.1904928],"study_design_scores_gemma":[0.00038654995,0.00011294591,0.039395668,0.00005799037,0.000008610833,0.000056843997,0.00004574143,0.90519255,0.053674255,0.00049115915,0.00029167847,0.00028601586],"about_ca_topic_score_codex":0.00011241901,"about_ca_topic_score_gemma":0.0017148663,"teacher_disagreement_score":0.83966863,"about_ca_system_score_codex":0.000033917404,"about_ca_system_score_gemma":0.0000068344984,"threshold_uncertainty_score":0.34778866},"labels":[],"label_agreement":null},{"id":"W2560410907","doi":"10.1109/epec.2016.7771705","title":"A study of resource-constrained cyber security planning for smart grid networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SCADA; Computer science; Smart grid; Centrality; Network topology; Scheme (mathematics); Resource (disambiguation); Intrusion detection system; Grid; Node (physics); Distributed computing; Computer security; Computer network; Engineering","score_opus":0.013229543114009768,"score_gpt":0.23100726172730143,"score_spread":0.21777771861329168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560410907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771879,0.000119044234,0.015477367,0.000043603286,0.00047268678,0.00045774275,0.000012972088,0.00022382515,0.0060048695],"genre_scores_gemma":[0.99939734,0.000005653546,0.0001539876,0.000021106069,0.0002535505,0.000036092784,0.000002086246,0.000017160392,0.00011304495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919343,0.000021964579,0.00024078765,0.00016321235,0.00011588442,0.00026473845],"domain_scores_gemma":[0.99939555,0.00027499683,0.000027462402,0.00020375107,0.000029859655,0.000068382506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020835777,0.00012437893,0.0001927757,0.000057613357,0.000054509834,0.000010153376,0.00015039222,0.000078669844,0.000045347857],"category_scores_gemma":[0.000040213727,0.000082444705,0.000057728565,0.00010889563,0.000053424646,0.00007591989,0.000031389554,0.00008223167,0.00000344435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011126904,0.0027338944,0.2746054,0.0008159229,0.001727631,0.00017631054,0.06696627,0.37028354,0.01242781,0.009200073,0.23057556,0.029374903],"study_design_scores_gemma":[0.03875221,0.006144122,0.13146743,0.0021751842,0.0005677425,0.00019852513,0.04906982,0.5043698,0.037311565,0.0037311027,0.22061868,0.005593812],"about_ca_topic_score_codex":0.000011747569,"about_ca_topic_score_gemma":0.000058384743,"teacher_disagreement_score":0.14313795,"about_ca_system_score_codex":0.000016343685,"about_ca_system_score_gemma":0.000007612214,"threshold_uncertainty_score":0.33619976},"labels":[],"label_agreement":null},{"id":"W2562551734","doi":"10.1109/smartgridcomm.2016.7778799","title":"Cascading link failure analysis in interdependent networks for maximal outages in smart grid","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blackout; Cascading failure; Computer science; Smart grid; Electric power system; Power-system protection; Telecommunications network; Vulnerability (computing); Interdependence; Distributed computing; Vulnerability assessment; Grid; Throughput; Power grid; Computer network; Reliability engineering; Power (physics); Engineering; Computer security; Telecommunications; Wireless; Electrical engineering","score_opus":0.006703270868524691,"score_gpt":0.2146717597092353,"score_spread":0.20796848884071062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562551734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71376884,0.0003187778,0.28208134,0.0010302718,0.00084098324,0.0003006889,0.000016335343,0.00019422545,0.0014485437],"genre_scores_gemma":[0.99885213,0.000071736686,0.0006151846,0.000031456086,0.00022928718,0.000026781903,0.0000058719243,0.000014253933,0.00015331763],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911475,0.000023953622,0.0002560754,0.00019706324,0.00008235591,0.00032577943],"domain_scores_gemma":[0.9996276,0.00013747056,0.000015996598,0.00015170536,0.000013012692,0.000054217173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029011554,0.00012450185,0.00021698406,0.00033396436,0.000021218806,0.00002615121,0.00016488042,0.00010477408,0.000087110784],"category_scores_gemma":[0.000028885996,0.0000873982,0.000112075795,0.00040097997,0.000020576614,0.00013788845,0.000041530548,0.00013653016,0.000012234848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005233825,0.000059510854,0.48243845,0.000099208155,0.0003496045,0.00009423018,0.0015521635,0.4805471,0.0020100859,0.0007293884,0.0031382868,0.028929655],"study_design_scores_gemma":[0.0019235277,0.000075067335,0.20065032,0.00027361434,0.00011277384,0.000011506414,0.0006767874,0.7819491,0.0031516373,0.00025128172,0.010138397,0.0007859872],"about_ca_topic_score_codex":0.00008469025,"about_ca_topic_score_gemma":0.0140264705,"teacher_disagreement_score":0.301402,"about_ca_system_score_codex":0.00008627739,"about_ca_system_score_gemma":0.000004655954,"threshold_uncertainty_score":0.78270996},"labels":[],"label_agreement":null},{"id":"W2563763166","doi":"10.1109/camad.2016.7790327","title":"Latency-aware segmentation and trust system placement in smart grid SCADA networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SCADA; Computer science; Latency (audio); Exploit; Computer network; Network topology; Intrusion detection system; Distributed computing; Smart grid; Node (physics); Computer security; Engineering","score_opus":0.004392257284149203,"score_gpt":0.17844477646421078,"score_spread":0.17405251918006157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563763166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97648865,0.0003500096,0.019004086,0.000083244144,0.0010130556,0.00021867466,0.000004057249,0.00021825705,0.0026199685],"genre_scores_gemma":[0.9993509,0.00021871233,0.000096115924,0.000017534654,0.000098735276,0.000018089497,0.0000027909239,0.000008508791,0.00018862537],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994768,0.0000142693425,0.00014400337,0.00011610016,0.00008266216,0.00016615869],"domain_scores_gemma":[0.99981844,0.00003390864,0.000010805964,0.000081298844,0.000008212812,0.000047313213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009544693,0.00008370799,0.00008786818,0.000045609027,0.000030185623,0.000015843636,0.00004839278,0.00005431323,0.000043427935],"category_scores_gemma":[0.0000023353207,0.000055302382,0.000012229783,0.000079934856,0.00001783453,0.00011481124,0.000018527599,0.000048884816,0.000017174958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001517058,0.00012526337,0.60140353,0.0014499356,0.00015309773,0.00013694618,0.0030495427,0.31373453,0.014990484,0.0038914033,0.030332776,0.030580763],"study_design_scores_gemma":[0.0029875569,0.00011861456,0.11709154,0.0009823209,0.000022385324,0.000050639257,0.003211022,0.8618762,0.009569258,0.000024154017,0.0033320335,0.0007342741],"about_ca_topic_score_codex":0.000045158497,"about_ca_topic_score_gemma":0.00019178935,"teacher_disagreement_score":0.54814166,"about_ca_system_score_codex":0.00008072288,"about_ca_system_score_gemma":0.0000046746004,"threshold_uncertainty_score":0.22551657},"labels":[],"label_agreement":null},{"id":"W2564348914","doi":"10.1109/tsg.2016.2644618","title":"A Detection and Mitigation Model for PTP Delay Attack in an IEC 61850 Substation","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"IEC 61850; Smart grid; Computer science; Protocol (science); Mechanism (biology); Computer network; Computer security; Embedded system; Real-time computing; Distributed computing; Engineering; Automation","score_opus":0.019793881544066076,"score_gpt":0.24465335000521965,"score_spread":0.22485946846115357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564348914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49941835,0.0000111906165,0.49968028,0.000042408075,0.00053901057,0.00017293204,0.000034697816,0.00008960564,0.00001152805],"genre_scores_gemma":[0.99877137,0.00009039457,0.0007835505,0.000028379895,0.00008206624,0.00016094703,0.0000040325244,0.000025280691,0.000053951226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923867,0.000023860666,0.00020189882,0.0002210382,0.000110248824,0.00020426426],"domain_scores_gemma":[0.99962527,0.000092094844,0.00002036901,0.00014031105,0.00004250633,0.0000794368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012185107,0.00013391192,0.000112999725,0.00018351905,0.000118246215,0.000025603258,0.000055812372,0.000115385636,0.000008605773],"category_scores_gemma":[0.0000040027903,0.000116107425,0.00004445331,0.00014942804,0.000043530214,0.0005055038,3.2338463e-7,0.000110622175,0.000012387978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017891862,0.00011726989,0.0002828243,0.00009335914,0.00002020981,0.000001757706,0.0016447786,0.8142467,0.11866565,0.000028593782,0.000089470304,0.06463045],"study_design_scores_gemma":[0.00075987086,0.00010621104,0.0016773492,0.000041301297,0.000015986458,0.0000065881927,0.000045178964,0.9160241,0.08081151,0.0001341465,0.00018914771,0.00018864675],"about_ca_topic_score_codex":0.000018250075,"about_ca_topic_score_gemma":0.0032388978,"teacher_disagreement_score":0.49935305,"about_ca_system_score_codex":0.00009036569,"about_ca_system_score_gemma":0.000014615002,"threshold_uncertainty_score":0.47347233},"labels":[],"label_agreement":null},{"id":"W2571059148","doi":"10.1109/cdc.2016.7799237","title":"Stochastic Detector against linear deception attacks on remote state estimation","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Detector; Estimator; Deception; Computer science; State (computer science); Fuse (electrical); Channel (broadcasting); Wireless sensor network; Algorithm; Real-time computing; Statistics; Mathematics; Telecommunications; Computer network; Engineering; Electrical engineering","score_opus":0.008974209891265388,"score_gpt":0.22591074230976424,"score_spread":0.21693653241849886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571059148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45120916,0.000010925311,0.54755443,0.00005090142,0.00028483136,0.00007284622,0.000003553159,0.00025955462,0.00055376586],"genre_scores_gemma":[0.99695945,0.000040214403,0.002548051,0.000053216892,0.00008213228,0.000002540903,0.0000028676293,0.00001764763,0.0002938699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941516,0.000011619105,0.00013113605,0.00012880252,0.00013580767,0.00017745569],"domain_scores_gemma":[0.99965626,0.000084319145,0.000015285153,0.00015613923,0.0000219621,0.00006602606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006868407,0.000107403815,0.0000806958,0.00006601519,0.000044472523,0.0000124988655,0.00007378762,0.000051854982,0.00007029101],"category_scores_gemma":[0.00006678589,0.00006835753,0.000030566207,0.00008361034,0.000026216803,0.00011956145,0.0000104801575,0.000070004244,0.0008031879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020015252,0.000010701897,0.000011713524,0.000022333228,0.0000104575865,0.000002767628,0.00014714061,0.7653718,0.03493594,0.000041974763,0.00056016067,0.19886501],"study_design_scores_gemma":[0.00033970128,0.00006839592,0.00091162516,0.00012551527,0.0000040340947,0.0000023276293,0.000008598209,0.9686681,0.028884217,0.00030852447,0.00048530774,0.00019364433],"about_ca_topic_score_codex":0.0000038671706,"about_ca_topic_score_gemma":0.00002613874,"teacher_disagreement_score":0.54575026,"about_ca_system_score_codex":0.00006352472,"about_ca_system_score_gemma":0.000007314031,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W2573888257","doi":"10.71781/10763","title":"Un modèle de validation automatique de mécanismes de sécurisation des communications","year":2003,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.043617613576885664,"score_gpt":0.30437474838448353,"score_spread":0.2607571348075979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573888257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95281816,0.0014636886,0.024338283,0.0003253524,0.00033915488,0.0007021507,0.00005590747,0.00001904475,0.019938286],"genre_scores_gemma":[0.71225876,0.0017237648,0.2820737,0.00003485462,0.00008162491,0.0001792762,0.0010426353,0.0000665267,0.0025388552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980937,0.00047746117,0.00046079129,0.0003002204,0.00017277258,0.0004950426],"domain_scores_gemma":[0.9985585,0.00025305903,0.0001914764,0.00068497664,0.00012731175,0.00018465954],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009013969,0.00031207176,0.00029223572,0.00012701075,0.00063382415,0.00041989752,0.001127756,0.0005620218,0.0011583141],"category_scores_gemma":[0.0002322605,0.00038594566,0.00009528464,0.0003168124,0.00013952944,0.000559985,0.00009339218,0.00053430593,0.00027178443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006983892,0.00096646755,0.016511064,0.0011399629,0.00054905046,0.000038596856,0.19137254,0.42746255,0.13515247,0.026829302,0.0011204333,0.1987877],"study_design_scores_gemma":[0.0006155408,0.000078739795,0.028129218,0.000981433,0.0003330702,0.00009632877,0.0070955856,0.38450328,0.5510364,0.011916021,0.014318767,0.00089564006],"about_ca_topic_score_codex":0.0014766062,"about_ca_topic_score_gemma":0.002208222,"teacher_disagreement_score":0.41588393,"about_ca_system_score_codex":0.0007245537,"about_ca_system_score_gemma":0.0007616604,"threshold_uncertainty_score":0.9998593},"labels":[],"label_agreement":null},{"id":"W2586156717","doi":"10.1109/glocomw.2016.7848929","title":"Implementation of an Offline Co-Simulation Test-Bed for Cyber Security and Control Verification","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart grid; Computer science; Overlay; Resilience (materials science); Distributed computing; Renewable energy; Field (mathematics); Control (management); Cyber-physical system; Embedded system; Computer security; Engineering; Operating system","score_opus":0.008324089797582038,"score_gpt":0.28351011586635455,"score_spread":0.2751860260687725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586156717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9284375,0.000022110791,0.070898935,0.000068959045,0.000056247012,0.000295474,0.00007306215,0.00006204127,0.00008572462],"genre_scores_gemma":[0.99946815,0.000016279979,0.0003952014,0.000016455711,0.000053392665,0.000018604092,0.000017825498,0.0000066484117,0.000007452969],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961245,0.000009281285,0.0001497611,0.0000868805,0.000060849245,0.00008075911],"domain_scores_gemma":[0.99961764,0.00018771875,0.000027169688,0.00008542169,0.00005094091,0.00003113677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011245413,0.000053709737,0.00007496259,0.000031569158,0.00002914369,0.000006704356,0.000031651685,0.00003693374,0.000045989764],"category_scores_gemma":[0.000028507915,0.000038970633,0.000014731128,0.00003347019,0.000022629638,0.00019986212,0.0000022152835,0.0000149877205,0.0000017767629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010579235,0.00011082121,0.03855099,0.00020171028,0.00004883682,2.9472895e-7,0.0020534468,0.006055998,0.89419836,0.0030711545,0.0003741225,0.055228483],"study_design_scores_gemma":[0.0040622586,0.00026315878,0.10086654,0.00001947353,0.000031762473,0.0000013750213,0.00040378145,0.40113875,0.48995447,0.0011964012,0.0018477285,0.00021428539],"about_ca_topic_score_codex":0.00001780641,"about_ca_topic_score_gemma":0.000084091946,"teacher_disagreement_score":0.40424386,"about_ca_system_score_codex":0.000013342691,"about_ca_system_score_gemma":0.00000611103,"threshold_uncertainty_score":0.15891762},"labels":[],"label_agreement":null},{"id":"W2586222769","doi":"10.1109/tsg.2017.2666046","title":"A Class of Switching Exploits Based on Inter-Area Oscillations","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric power system; Oscillation (cell signaling); Power (physics); Mode (computer interface); Observable; Class (philosophy); Computer science; Transmission (telecommunications); Exploit; Electronic engineering; Control theory (sociology); Engineering; Topology (electrical circuits); Electrical engineering; Telecommunications; Physics; Control (management)","score_opus":0.02189056907753269,"score_gpt":0.23825940368572157,"score_spread":0.21636883460818887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586222769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36121383,0.000015279795,0.62486976,0.00038023572,0.005577298,0.00024017892,0.000101905054,0.00028884134,0.0073126736],"genre_scores_gemma":[0.99935305,0.000030779705,0.00028248446,0.000065346736,0.000117804724,0.00003360449,0.0000022563352,0.0000291926,0.00008547687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990375,0.000023825043,0.0002553123,0.00021435146,0.00023693203,0.00023210414],"domain_scores_gemma":[0.99895895,0.00013568388,0.00006091728,0.0006983716,0.000046381145,0.000099713216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011871971,0.00018629916,0.00020839168,0.00020884938,0.0004685411,0.0000636087,0.00031449055,0.00010691231,0.00009452438],"category_scores_gemma":[0.000015269208,0.00017973577,0.00015728081,0.000106752945,0.000076646575,0.00023677849,0.0000014588575,0.00035372158,0.00006837106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008400175,0.0002654943,0.00045093257,0.000107142194,0.00007278421,0.000010906843,0.0006765752,0.9748168,0.013023185,0.00007643426,0.0011476852,0.009268037],"study_design_scores_gemma":[0.0012756079,0.00033528762,0.0048628896,0.0005611067,0.00007295327,0.000010143053,0.00016209684,0.80948627,0.1726053,0.00006998857,0.009972942,0.0005854058],"about_ca_topic_score_codex":0.000053885775,"about_ca_topic_score_gemma":0.0002602887,"teacher_disagreement_score":0.6381392,"about_ca_system_score_codex":0.000057283676,"about_ca_system_score_gemma":0.000028555343,"threshold_uncertainty_score":0.7329412},"labels":[],"label_agreement":null},{"id":"W2589575667","doi":"10.1109/tsg.2017.2673843","title":"Differentially Private Smart Metering With Fault Tolerance and Range-Based Filtering","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Differential privacy; Smart grid; Smart meter; Computer science; Encryption; Information privacy; Computer security; Homomorphic encryption; Cryptography; ElGamal encryption; Computer network; Embedded system; Public-key cryptography; Engineering; Data mining; Electrical engineering","score_opus":0.012915782322622691,"score_gpt":0.21476402077142867,"score_spread":0.20184823844880598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589575667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68693364,0.00004357936,0.31049687,0.000090097215,0.0016841283,0.00018072127,0.00003521093,0.00023916589,0.0002965857],"genre_scores_gemma":[0.99781203,0.00011608848,0.0016763811,0.000053973003,0.00014754361,0.00006699468,0.0000021132298,0.000048786773,0.00007606134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884444,0.000021945807,0.00020896872,0.00032806708,0.0002325846,0.0003640009],"domain_scores_gemma":[0.9991181,0.000055329136,0.000050238494,0.0006004411,0.00002899732,0.00014691759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008714884,0.00028715344,0.00027618217,0.00011289753,0.00067583803,0.00023613375,0.00029598322,0.00009841892,0.0000467296],"category_scores_gemma":[0.000003578457,0.00025359652,0.00008156356,0.00007031733,0.00016391158,0.00033937814,0.0000031938632,0.00034230316,0.000021766902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078616774,0.00031940456,0.004364932,0.00097058335,0.00041796273,0.00018541425,0.0011255684,0.8194013,0.13960887,0.00003743475,0.00025982218,0.03252253],"study_design_scores_gemma":[0.0049123066,0.0005613972,0.061580833,0.0010685079,0.00021211054,0.00010615217,0.000049749447,0.29452875,0.62227863,0.000027603899,0.012956285,0.0017176971],"about_ca_topic_score_codex":0.000058154415,"about_ca_topic_score_gemma":0.00037539282,"teacher_disagreement_score":0.52487254,"about_ca_system_score_codex":0.000035346948,"about_ca_system_score_gemma":0.000015205403,"threshold_uncertainty_score":0.99999166},"labels":[],"label_agreement":null},{"id":"W2591712613","doi":"10.5220/0006105602530262","title":"Characterization of Tor Traffic using Time based Features","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":751,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Characterization (materials science); Computer science; Materials science; Nanotechnology","score_opus":0.009021890660477285,"score_gpt":0.21241038361585304,"score_spread":0.20338849295537575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591712613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715817,0.000011413763,0.0011839172,0.000026936163,0.00021618181,0.0000435581,0.0000047243816,0.00006450198,0.0012905699],"genre_scores_gemma":[0.99933714,0.0000036080355,0.0003954005,0.000011455427,0.00006825135,5.9675676e-7,0.000005229683,0.0000063443695,0.00017195559],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997594,0.0000037960694,0.00006117569,0.0000492681,0.00005752727,0.000068883994],"domain_scores_gemma":[0.9997758,0.00000681685,0.000021627282,0.0001627494,0.000012795377,0.000020171707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030357445,0.000045336536,0.0000663076,0.000023840932,0.00006844067,0.000026587135,0.0001063636,0.000039288123,0.00010593905],"category_scores_gemma":[0.000011156756,0.000039478033,0.00002204486,0.000018055265,0.000026364825,0.00011350144,0.0000076000174,0.00003346605,0.000010852456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033024833,0.000009218602,0.00013850095,0.00003391454,0.000004851475,9.571786e-7,0.00007122392,0.017480211,0.98114854,0.00002747523,0.00006563121,0.0010161507],"study_design_scores_gemma":[0.00013092303,0.000009455294,0.040843703,0.000031070107,0.0000060199386,0.0000014191128,0.000004089561,0.61377096,0.344492,0.0000017535125,0.0006196612,0.00008894917],"about_ca_topic_score_codex":0.0000048162888,"about_ca_topic_score_gemma":0.000005106275,"teacher_disagreement_score":0.6366566,"about_ca_system_score_codex":0.0000070573274,"about_ca_system_score_gemma":0.000007108088,"threshold_uncertainty_score":0.16098674},"labels":[],"label_agreement":null},{"id":"W2592488602","doi":"","title":"Action languages and precise modeling for cyber-physical systems design and testing","year":2016,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Cyber-physical system; Interdependence; Computer science; Software engineering; Systems engineering; Software development; Action (physics); Software; Engineering; Programming language","score_opus":0.024322280782014292,"score_gpt":0.23913926464264776,"score_spread":0.21481698386063347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592488602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.423985,0.0003643085,0.57522184,0.0000047514154,0.00018188663,0.000090533795,8.943913e-7,0.00015007924,7.281792e-7],"genre_scores_gemma":[0.9292667,0.000052983323,0.070442274,0.0000036035644,0.00020440106,0.000016822196,1.3510778e-7,0.0000108325385,0.0000022557952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936414,0.0000051991733,0.00008329827,0.00021688777,0.00011438547,0.00021610124],"domain_scores_gemma":[0.9993453,0.0004111993,0.000009351618,0.0000823797,0.000055110697,0.0000966309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028784623,0.00010549377,0.00011151936,0.000085347456,0.00012809235,0.00012398948,0.00008204946,0.00003116847,5.8166147e-8],"category_scores_gemma":[0.00018636441,0.0000788179,0.000008885418,0.00013552408,0.00006261504,0.00040411847,0.00005467154,0.0000494303,3.1014517e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023281418,0.0000044895996,0.00034859142,0.00020973386,0.000006513597,0.0000024347908,0.00065767893,0.8570853,0.018752748,0.00014514256,0.000018074876,0.12276698],"study_design_scores_gemma":[0.00011674426,0.000033259163,0.00049540185,0.00016192309,0.0000043210084,0.00002810163,0.000015632399,0.99761504,0.0013354032,0.000025536674,0.000039244227,0.00012940867],"about_ca_topic_score_codex":0.0000030517688,"about_ca_topic_score_gemma":2.0833274e-7,"teacher_disagreement_score":0.5052817,"about_ca_system_score_codex":0.000023707298,"about_ca_system_score_gemma":0.000013195529,"threshold_uncertainty_score":0.3214101},"labels":[],"label_agreement":null},{"id":"W2596270003","doi":"10.1109/ngct.2016.7877538","title":"SCADA security issues and FPGA implementation of AES — A review","year":2016,"lang":"en","type":"review","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SCADA; Computer security; Petroleum; Upgrade; Engineering; Oil refinery; Electric power system; Business; Computer science; Environmental economics; Waste management; Power (physics); Electrical engineering; Operating system","score_opus":0.018735935544620278,"score_gpt":0.3439792092282356,"score_spread":0.32524327368361533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596270003","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000041109424,0.99823314,0.000023814891,0.000031254785,0.00017284602,0.00048813593,0.00005012436,0.00007008992,0.0009265006],"genre_scores_gemma":[0.000008818053,0.99967825,0.000055715464,0.00001793724,0.00009675852,0.00003717423,0.000017113829,0.000019374398,0.000068853114],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906254,0.00004629482,0.00044982866,0.00016374508,0.00013135342,0.00014626127],"domain_scores_gemma":[0.9995796,0.00006632231,0.000084177394,0.00019650649,0.00002509611,0.000048281956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018060848,0.00021475636,0.00092892,0.00006242625,0.000020188592,0.000009795305,0.00013406451,0.00010296576,0.0004491521],"category_scores_gemma":[0.000013058599,0.00013314473,0.00014042229,0.00012841802,0.000042823078,0.00008922592,0.000045525525,0.00010260357,0.00003201182],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.657083e-8,0.000002413108,0.000001355051,0.13590741,0.000038908936,8.1888106e-7,0.000032801763,3.1476848e-8,2.0772272e-7,0.00017276291,0.008345994,0.85549724],"study_design_scores_gemma":[0.000038615934,0.0000109423845,0.0000019890101,0.053310636,0.00013968008,0.000012807361,0.0000119208125,0.0000012712355,0.000029135623,0.00005497188,0.9462246,0.000163432],"about_ca_topic_score_codex":0.000042927353,"about_ca_topic_score_gemma":0.00004639897,"teacher_disagreement_score":0.9378786,"about_ca_system_score_codex":0.000021436019,"about_ca_system_score_gemma":0.000029789571,"threshold_uncertainty_score":0.5429484},"labels":[],"label_agreement":null},{"id":"W2597567128","doi":"10.3390/en10030393","title":"International Electronical Committee (IEC) 61850 Mapping with Constrained Application Protocol (CoAP) in Smart Grids Based European Telecommunications Standard Institute Machine-to-Machine (M2M) Environment","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Provincial Health Services Authority","keywords":"IEC 61850; Smart grid; Default gateway; Internetworking; MQTT; Computer science; Machine to machine; Communications protocol; Computer network; Automation; Home automation; Protocol (science); Embedded system; Engineering; Telecommunications; The Internet; Operating system; Internet of Things","score_opus":0.010645331144067084,"score_gpt":0.23873699598793352,"score_spread":0.22809166484386645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597567128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47125742,0.0002736429,0.36871502,0.010861541,0.0009008057,0.043554887,0.00033142444,0.0015299045,0.10257535],"genre_scores_gemma":[0.98218507,0.000037479796,0.010370892,0.00007745698,0.00008423742,0.0070974063,0.000086963395,0.00003253051,0.00002795713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988735,0.00006822966,0.0002992301,0.00024880125,0.00024221273,0.0002680423],"domain_scores_gemma":[0.9989545,0.00005588414,0.00007997343,0.00080009445,0.000024445488,0.0000851284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000315569,0.00020215682,0.00018720441,0.00014107271,0.0003300317,0.00013672104,0.0008698455,0.000050061943,0.000040389903],"category_scores_gemma":[0.000049285616,0.0001830885,0.000040725092,0.00008425094,0.00024556462,0.00023990306,0.00016707528,0.00035399004,0.000029409339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021867253,0.00024114516,0.028373584,0.000086031374,0.00009332953,0.000028577912,0.0007831737,0.92319113,0.009852606,0.004784623,0.00046165517,0.031885494],"study_design_scores_gemma":[0.0028516282,0.00014198662,0.09232131,0.00018766073,0.000013523888,0.000014934293,0.00007448831,0.15318829,0.006000324,0.00010359467,0.7444885,0.0006138046],"about_ca_topic_score_codex":0.000116991614,"about_ca_topic_score_gemma":0.0009582994,"teacher_disagreement_score":0.77000284,"about_ca_system_score_codex":0.00017167364,"about_ca_system_score_gemma":0.000046524296,"threshold_uncertainty_score":0.74661326},"labels":[],"label_agreement":null},{"id":"W2603425044","doi":"10.1109/mie.2016.2618724","title":"Massive Internet of Things for Industrial Applications: Addressing Wireless IIoT Connectivity Challenges and Ecosystem Fragmentation","year":2017,"lang":"en","type":"article","venue":"IEEE Industrial Electronics Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":338,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Industrial Internet; Computer science; The Internet; Automation; Fragmentation (computing); Key (lock); Wireless; Internet of Things; Computer security; Telecommunications; Engineering; World Wide Web","score_opus":0.061994860921570756,"score_gpt":0.2742057600636328,"score_spread":0.21221089914206204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603425044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98306894,0.002838446,0.009233174,0.0004105483,0.0015164008,0.0016666193,0.00006165606,0.00013837425,0.001065834],"genre_scores_gemma":[0.9977699,0.0009144574,0.00008489187,0.000007990668,0.00094179873,0.00019382572,0.000016306383,0.000030830237,0.000039980852],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987676,0.000047362497,0.00036832545,0.000296137,0.00017998597,0.0003405652],"domain_scores_gemma":[0.9989152,0.00027852927,0.00030557302,0.0003305204,0.00009187892,0.0000782796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041683466,0.00020611208,0.00037105315,0.00009361593,0.00019604027,0.00010701382,0.00032579585,0.00039021453,0.000005762652],"category_scores_gemma":[0.00015960002,0.00021141993,0.000063859035,0.000054870492,0.00009762882,0.00043200684,0.000044866756,0.00048525486,0.0000031844852],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093593705,0.00028571804,0.00047762212,0.0010040664,0.000666314,0.000007528369,0.0031532687,0.0049748477,0.07005271,0.021700235,0.004769004,0.8919727],"study_design_scores_gemma":[0.023772987,0.0021623564,0.00080171373,0.0021791544,0.00054291193,0.0000632995,0.0009933814,0.29637045,0.5542571,0.007630011,0.108913906,0.002312755],"about_ca_topic_score_codex":0.000017898807,"about_ca_topic_score_gemma":0.00013347552,"teacher_disagreement_score":0.88966,"about_ca_system_score_codex":0.00015602571,"about_ca_system_score_gemma":0.000108413675,"threshold_uncertainty_score":0.8621454},"labels":[],"label_agreement":null},{"id":"W2604394353","doi":"10.1109/tcsii.2017.2690843","title":"An Intrusion Detection System for Cyber Attacks in Wireless Networked Control Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Ministry of Innovation and Advanced Education","keywords":"Intrusion detection system; Computer science; Distributed computing; Wireless; Intrusion prevention system; Cyber-attack; Control system; Wireless network; Control (management); Computer security; Computer network; Engineering; Artificial intelligence; Telecommunications","score_opus":0.012801830251421715,"score_gpt":0.23082931615592855,"score_spread":0.21802748590450685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604394353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31314677,0.00031844998,0.67089415,0.000009005293,0.01282391,0.001787259,0.00015117925,0.0005730384,0.00029622484],"genre_scores_gemma":[0.99746853,0.000049287373,0.000008672239,0.000009284616,0.00089791184,0.0013200033,0.000006287435,0.000110174034,0.00012984517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972501,0.00020636462,0.0007992338,0.0006258813,0.00042414077,0.0006943144],"domain_scores_gemma":[0.9979643,0.00018757978,0.00022782986,0.001220507,0.00015134596,0.0002484332],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006144677,0.0004463355,0.0007260138,0.00027550504,0.0014401604,0.00048771946,0.0006834206,0.0004838485,0.0000033603578],"category_scores_gemma":[0.000008444437,0.00045757755,0.00017830881,0.00016343658,0.000102126396,0.00081397727,0.000002769567,0.00049327995,0.000018856323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078967525,0.00011863812,0.000045738314,0.0009819529,0.00008907239,0.000017367955,0.0007550092,0.9284778,0.06383643,0.000118649004,0.000087683686,0.00539267],"study_design_scores_gemma":[0.0031929566,0.00025985914,0.00033949208,0.0019683402,0.00009129073,0.00011335821,0.00079726824,0.9641848,0.025131442,0.000002668423,0.0031486268,0.0007698562],"about_ca_topic_score_codex":0.0011795611,"about_ca_topic_score_gemma":0.0005224498,"teacher_disagreement_score":0.68432176,"about_ca_system_score_codex":0.00040643752,"about_ca_system_score_gemma":0.000043510874,"threshold_uncertainty_score":0.9998598},"labels":[],"label_agreement":null},{"id":"W2606091117","doi":"10.5539/mas.v11n6p24","title":"Industrial Network Security – A Critical Review","year":2017,"lang":"en","type":"review","venue":"Modern Applied Science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sophistication; Hacker; Computer security; Industrial control system; Control system security; Computer science; Process (computing); Risk analysis (engineering); Critical infrastructure; State (computer science); Control (management); Business; Information security; Network security policy; Security service","score_opus":0.148178835160715,"score_gpt":0.3588681717335892,"score_spread":0.2106893365728742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606091117","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.0366609e-7,0.97340333,0.0014935303,0.000023605988,0.0020860422,0.00093946146,0.000024151319,0.00027232693,0.021757372],"genre_scores_gemma":[0.00018702602,0.9979708,0.00013834494,0.000079966354,0.0013226313,0.00021091523,0.000010483279,0.000050305636,0.000029480134],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99660033,0.000045119625,0.00064971903,0.00083870016,0.0008342742,0.001031836],"domain_scores_gemma":[0.9978276,0.00020253236,0.00014339521,0.001399192,0.000055325712,0.00037196942],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001643064,0.00054775755,0.0017818349,0.00012920947,0.00076239475,0.00031560555,0.002564569,0.0004432393,0.000052803865],"category_scores_gemma":[0.00036998207,0.00045631273,0.00029884395,0.0007082387,0.0013513637,0.00024371166,0.00041979423,0.0013546675,0.0003012656],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.6080297e-7,0.000016371376,1.4288429e-7,0.025070198,0.000016459742,0.000016775834,0.00004694176,0.00005565585,0.0000017204865,0.0023342706,0.009639751,0.96280086],"study_design_scores_gemma":[0.00005317059,0.0000068795493,1.4663613e-7,0.027331406,0.00019076008,0.000035407862,9.030943e-7,0.0039789616,9.3619104e-7,0.0014177626,0.9664515,0.000532152],"about_ca_topic_score_codex":0.0000022713527,"about_ca_topic_score_gemma":0.0000038315698,"teacher_disagreement_score":0.9622687,"about_ca_system_score_codex":0.00018381684,"about_ca_system_score_gemma":0.0006113736,"threshold_uncertainty_score":0.9997889},"labels":[],"label_agreement":null},{"id":"W2606805244","doi":"10.1145/3055386.3055387","title":"Impact of Cyber Attacks on Data Integrity in Transient Stability Control","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transient (computer programming); Computer science; Smart grid; Electric power system; Stability (learning theory); Data integrity; Parametric statistics; Electronic stability control; Power grid; Linearization; Control (management); Computer security; Power (physics); Engineering; Mathematics; Nonlinear system","score_opus":0.05547648186870359,"score_gpt":0.32461357592158224,"score_spread":0.26913709405287867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606805244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911491,0.000031264775,0.0008820295,0.00007031871,0.00018314156,0.00013984615,0.00012457118,0.000032807184,0.0073868986],"genre_scores_gemma":[0.9998813,0.000018829485,0.000044429482,0.00000794715,0.00002693429,0.0000020482514,0.000006074362,0.000005432869,0.0000070032625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993687,0.000022142198,0.00017080062,0.00016325554,0.00011358808,0.00016145765],"domain_scores_gemma":[0.99867415,0.00007359832,0.000021727019,0.001160147,0.00001861765,0.00005174242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000312332,0.000091452916,0.0001809911,0.000030052193,0.000036587342,0.000021704582,0.00055005826,0.00006780821,0.0001790465],"category_scores_gemma":[0.00012797888,0.00006512815,0.000051446554,0.000029008967,0.00008697461,0.0002098748,0.000037681526,0.00025109827,0.00001046672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002950062,0.0007192138,0.94923884,0.00018087521,0.00013942107,0.000018992998,0.001691223,0.024409143,0.011527896,0.00051819277,0.0041313623,0.007129842],"study_design_scores_gemma":[0.0006377568,0.000062408326,0.93252647,0.00002718733,0.0000045597158,6.775606e-7,0.000028655808,0.06455479,0.0018763896,0.000030312263,0.00015748364,0.00009330076],"about_ca_topic_score_codex":0.0009632178,"about_ca_topic_score_gemma":0.0018937478,"teacher_disagreement_score":0.040145643,"about_ca_system_score_codex":0.000047903024,"about_ca_system_score_gemma":0.00002367748,"threshold_uncertainty_score":0.2655849},"labels":[],"label_agreement":null},{"id":"W2610306414","doi":"10.1109/cpre.2016.7914920","title":"The importance of testing Smart Grid IEDs against security vulnerabilities","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Computer security; Security testing; Computer science; Smart grid; Vulnerability (computing); Firmware; SCADA; Vulnerability assessment; Security through obscurity; Vulnerability management; Critical infrastructure; Cloud computing security; Security information and event management; Engineering; Cloud computing","score_opus":0.010721630030037545,"score_gpt":0.2043706084528976,"score_spread":0.19364897842286005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610306414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614632,0.00053624104,0.00030586767,0.00023016577,0.0007130947,0.000090623784,0.000010859771,0.00019452935,0.03645538],"genre_scores_gemma":[0.99913234,0.000182829,0.0001879566,0.000035628203,0.00016968361,0.000010306604,5.1296166e-7,0.00001126026,0.00026951538],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992066,0.000023211083,0.00025352807,0.00011778489,0.00015157083,0.00024727551],"domain_scores_gemma":[0.99881744,0.0007508126,0.00003120047,0.00029137603,0.000060173603,0.00004902262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030228466,0.00010577915,0.0001189116,0.000021440123,0.00012145883,0.00001581007,0.00021284167,0.00004755438,0.000036778594],"category_scores_gemma":[0.00034156293,0.00005288127,0.000045743913,0.00013903032,0.00019698302,0.00012023779,0.000039694016,0.00009604015,0.000016947482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050480714,0.00014203446,0.7287844,0.0007195291,0.00020298955,0.000026398891,0.0039426847,0.0073608016,0.11513108,0.04611739,0.047920864,0.049601357],"study_design_scores_gemma":[0.0027595318,0.00053041585,0.13004148,0.0011804859,0.0000637089,0.00007480485,0.0048005525,0.09188207,0.5249439,0.044214375,0.196699,0.0028096994],"about_ca_topic_score_codex":0.000016770526,"about_ca_topic_score_gemma":0.00017093858,"teacher_disagreement_score":0.5987429,"about_ca_system_score_codex":0.000027167618,"about_ca_system_score_gemma":0.000019540055,"threshold_uncertainty_score":0.21564355},"labels":[],"label_agreement":null},{"id":"W2612796499","doi":"10.1109/tsg.2017.2702125","title":"CCPA: Coordinated Cyber-Physical Attacks and Countermeasures in Smart Grid","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Cyber-physical system; Computer science; Computer security; Phasor; Adversary; Leverage (statistics); Electric power system; Grid; Phasor measurement unit; Embedded system; Computer network; Distributed computing; Engineering; Real-time computing; Power (physics); Electrical engineering","score_opus":0.013598781124862546,"score_gpt":0.2444894997337658,"score_spread":0.23089071860890326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612796499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97996205,0.00010940341,0.011345856,0.00028855092,0.0054487432,0.00028784518,0.00012017532,0.00027572055,0.0021616684],"genre_scores_gemma":[0.9990055,0.00022039698,0.00003892092,0.00005724611,0.0003570743,0.000055204193,0.0000044372573,0.000040800034,0.00022043187],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99863774,0.000042401058,0.0002588154,0.00036670308,0.0002634309,0.00043090346],"domain_scores_gemma":[0.9990648,0.000103407394,0.000044665165,0.00057526847,0.000048312457,0.00016357048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017605026,0.00029584713,0.00034701097,0.00017464673,0.0005105874,0.00016620758,0.00033245518,0.00016466375,0.000035890116],"category_scores_gemma":[0.000011338956,0.00028994953,0.00011209136,0.00013451028,0.0002798831,0.00041852568,0.0000041127114,0.0006324696,0.000103668615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020730295,0.006213336,0.07318535,0.0021532755,0.001886767,0.0016797539,0.01870621,0.5940351,0.1031316,0.0007900737,0.06684669,0.1292988],"study_design_scores_gemma":[0.010165759,0.001017809,0.36932802,0.0013251064,0.00036782672,0.0003860136,0.0006876546,0.28942013,0.21446997,0.00031761115,0.10843273,0.0040813703],"about_ca_topic_score_codex":0.00031267662,"about_ca_topic_score_gemma":0.0017378979,"teacher_disagreement_score":0.30461496,"about_ca_system_score_codex":0.00008262011,"about_ca_system_score_gemma":0.000027515678,"threshold_uncertainty_score":0.99995524},"labels":[],"label_agreement":null},{"id":"W2616050841","doi":"10.1109/wocc.2017.7928971","title":"Distributed big data management in smart grid","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"SaskPower","keywords":"Smart grid; Computer science; Automation; Distributed computing; Key (lock); Big data; Grid; Data processing; Process (computing); Embedded system; Distributed generation; Database; Engineering; Renewable energy; Operating system; Electrical engineering","score_opus":0.04863636189328426,"score_gpt":0.25654599336359685,"score_spread":0.20790963147031258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616050841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5804733,0.0006600597,0.034354012,0.0020370146,0.014869392,0.000778405,0.0005317968,0.0009727444,0.36532325],"genre_scores_gemma":[0.9989368,0.00022091625,0.0002923524,0.000021939904,0.0001708365,0.000004741526,0.0000952272,0.0000065948343,0.00025062138],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99952686,0.0000039835545,0.00009008068,0.00013986045,0.00008007525,0.00015914954],"domain_scores_gemma":[0.99890083,0.000008235542,0.000009629213,0.0010417574,0.000004345804,0.000035223125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009808882,0.0000639692,0.000068257556,0.000031206582,0.000078036996,0.00006971066,0.0007605777,0.000028799637,0.000031047926],"category_scores_gemma":[0.000017243097,0.000056269302,0.000010041957,0.000039602342,0.00003085303,0.00016456365,0.00031716345,0.00007474124,0.000087093795],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043437358,0.00035916275,0.13136256,0.0007673353,0.0003265254,0.001041397,0.00045523298,0.017219672,0.0007687441,0.015851619,0.55615187,0.27565244],"study_design_scores_gemma":[0.00062819687,0.00000852378,0.47834325,0.00005175883,0.000012022293,0.0000046441933,0.00010024012,0.09040691,0.0007847251,0.0003059683,0.42904648,0.0003072787],"about_ca_topic_score_codex":0.0000862193,"about_ca_topic_score_gemma":0.00072451145,"teacher_disagreement_score":0.41846344,"about_ca_system_score_codex":0.000017652706,"about_ca_system_score_gemma":0.0000027589151,"threshold_uncertainty_score":0.22945955},"labels":[],"label_agreement":null},{"id":"W2625693910","doi":"10.1016/j.rser.2017.05.180","title":"Interfacing applications for uncertainty reduction in smart energy systems utilizing distributed intelligence","year":2017,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Interfacing; Smart grid; Computer science; Interface (matter); Context (archaeology); Systems engineering; Distributed computing; Information and Communications Technology; Domain (mathematical analysis); Engineering","score_opus":0.020527376737603895,"score_gpt":0.2579918129232388,"score_spread":0.2374644361856349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625693910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00641529,0.15682933,0.82607156,0.00017044168,0.0009922694,0.0015099461,0.000028503611,0.0002559728,0.007726674],"genre_scores_gemma":[0.9556678,0.04081048,0.00016340932,0.0000126721725,0.00019760817,0.001143062,0.000047491212,0.000024622099,0.0019328783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985234,0.00004906965,0.0004781311,0.00033224738,0.00008165742,0.00053547893],"domain_scores_gemma":[0.9990907,0.00005418474,0.00012790944,0.0005287931,0.00009131008,0.00010710594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056780555,0.00021528345,0.00042897984,0.00012255106,0.0005880431,0.00023543052,0.00030213542,0.00012330542,0.0000034308625],"category_scores_gemma":[0.00011261615,0.00019836679,0.0000747655,0.00020542464,0.00008615561,0.00028712495,0.00012830811,0.000100453115,9.0090384e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044351622,0.0000753428,0.00024085234,0.004341369,0.00005450752,0.00001686781,0.00035986298,0.7650463,0.0015270679,0.11300308,0.0034632827,0.111827105],"study_design_scores_gemma":[0.00016235441,0.000031044154,0.000013786546,0.0003750995,0.000021130112,0.000020853573,0.0022387404,0.14702928,0.0023302368,0.0045154276,0.84295064,0.00031140354],"about_ca_topic_score_codex":0.0062199114,"about_ca_topic_score_gemma":0.00086019683,"teacher_disagreement_score":0.9492525,"about_ca_system_score_codex":0.00018237645,"about_ca_system_score_gemma":0.000043219283,"threshold_uncertainty_score":0.9402687},"labels":[],"label_agreement":null},{"id":"W2627024059","doi":"10.1109/tii.2017.2715844","title":"A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Network packet; Smart grid; Scheduling (production processes); Computer network; Distributed computing; Dynamic priority scheduling; Round-robin scheduling; Real-time computing; Quality of service; Engineering","score_opus":0.025566890935292727,"score_gpt":0.23420978968508374,"score_spread":0.20864289874979103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2627024059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02961239,0.000008362045,0.9647872,0.00005147517,0.0037121277,0.0005128345,0.000072929164,0.00027976456,0.00096295046],"genre_scores_gemma":[0.94134456,0.0003080839,0.057331596,0.00004703398,0.00055472564,0.0002091947,0.000022148175,0.00005994272,0.00012270125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989319,0.000008344222,0.00045813966,0.00009595624,0.00020923332,0.00029642959],"domain_scores_gemma":[0.9992154,0.00005216568,0.00013668471,0.0003936014,0.00009173483,0.00011037461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016285236,0.000206707,0.00020206353,0.0001359098,0.0006864655,0.00014074486,0.00026266996,0.00026465635,0.000056547564],"category_scores_gemma":[0.000018313904,0.00018861574,0.000100258265,0.00013413109,0.00006203733,0.00094972097,0.0000016000502,0.00041732608,0.00002633614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008559858,0.000045861132,0.000016076456,0.0000831396,0.000104541505,4.777652e-7,0.00043871795,0.9946305,0.000011174626,0.000019714307,0.00049349066,0.0040706755],"study_design_scores_gemma":[0.0014338418,0.00022902456,0.00000488839,0.00011461208,0.000076192184,0.000007395817,0.00036460228,0.98973715,0.0055047623,0.00001407238,0.0022105468,0.00030293345],"about_ca_topic_score_codex":0.000017114517,"about_ca_topic_score_gemma":0.000034977576,"teacher_disagreement_score":0.9117322,"about_ca_system_score_codex":0.000092021815,"about_ca_system_score_gemma":0.00008109582,"threshold_uncertainty_score":0.7691527},"labels":[],"label_agreement":null},{"id":"W265889855","doi":"10.1017/cbo9781139013468","title":"Smart Grid Communications and Networking","year":2012,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":296,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Smart grid; Key (lock); Reliability (semiconductor); Computer science; Software deployment; Plug and play; Field (mathematics); Grid; Cover (algebra); Systems engineering; Telecommunications; Computer security; Engineering; Distributed computing; Power (physics); Electrical engineering; Software engineering; Operating system","score_opus":0.019331583230017324,"score_gpt":0.18345422593952945,"score_spread":0.16412264270951213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W265889855","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001183037,0.006699664,0.00024047756,0.0000068202658,0.0011028249,0.00021297035,0.00010351666,0.00030695286,0.9912085],"genre_scores_gemma":[0.0024123273,0.0045721056,0.00013395221,0.000028111323,0.00074765156,0.0000012975112,0.00010853311,0.00004939517,0.99194664],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992097,0.00004125032,0.00012415406,0.00019416175,0.00012380948,0.0003069061],"domain_scores_gemma":[0.9989128,0.00010328463,0.00005188065,0.0007197841,0.00003698282,0.00017528493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008336591,0.00025063727,0.00026078854,0.00010038233,0.00024170835,0.000036694408,0.0005881082,0.0003119162,0.000001028618],"category_scores_gemma":[0.0000016063611,0.00031111814,0.00008112462,0.000014349974,0.0003130284,0.00010023238,0.0004827945,0.0006150482,0.000009886631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002343396,0.000022663575,0.00009147685,0.00067093846,0.00037291745,0.00008057374,0.000560291,0.000054934462,0.00006227742,0.20456576,0.78420514,0.009289574],"study_design_scores_gemma":[0.00015712611,0.000008726873,0.0000455946,0.00015413175,0.000121015575,0.000017979795,0.000021296923,0.0018228936,0.000024261055,0.0000016056968,0.99729574,0.00032962882],"about_ca_topic_score_codex":0.000031292242,"about_ca_topic_score_gemma":0.0000068584245,"teacher_disagreement_score":0.21309058,"about_ca_system_score_codex":0.00015384406,"about_ca_system_score_gemma":0.00004613336,"threshold_uncertainty_score":0.9999341},"labels":[],"label_agreement":null},{"id":"W2732012519","doi":"10.1109/tsipn.2017.2723762","title":"A Distributed Control Paradigm for Smart Grid to Address Attacks on Data Integrity and Availability","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Signal and Information Processing over Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart grid; Computer science; Controller (irrigation); Electric power system; Control theory (sociology); Grid; Parametric statistics; Distributed power; Transient (computer programming); Cyber-physical system; Distributed computing; Power (physics); Control (management); Engineering","score_opus":0.02384976851742021,"score_gpt":0.26468563497147335,"score_spread":0.24083586645405314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732012519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026806872,0.000071809125,0.9708453,0.00029043038,0.00054045976,0.00043318368,0.0007217304,0.000107789405,0.00018246307],"genre_scores_gemma":[0.99918234,0.00007550115,0.00012889368,0.00036359197,0.00010576947,0.00005841747,0.00007005299,0.000007878183,0.0000075674084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917233,0.000013767087,0.00027617635,0.00018145883,0.0001395046,0.00021675011],"domain_scores_gemma":[0.9992834,0.000114916984,0.000073844756,0.0003353421,0.000056584628,0.00013596706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027191848,0.00016538824,0.00018436897,0.000058695994,0.0007469707,0.0004443363,0.00023767262,0.00013085075,0.0000154819],"category_scores_gemma":[0.000018370778,0.00014321432,0.000029088811,0.00006633027,0.00010269108,0.0023034916,0.0000046454256,0.0003728348,0.0000045653364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012090601,0.0001414915,0.0006247163,0.0007143517,0.00011778518,0.0000011262797,0.0010075109,0.71866286,0.000047905447,0.00017495589,0.008954023,0.26834422],"study_design_scores_gemma":[0.0009250295,0.00012193412,0.005584709,0.00017842984,0.000035618723,0.0000042370407,0.000034135093,0.9806641,0.0002888855,0.000056416477,0.011883953,0.00022255482],"about_ca_topic_score_codex":0.00001927987,"about_ca_topic_score_gemma":0.0000345045,"teacher_disagreement_score":0.97237545,"about_ca_system_score_codex":0.000029842031,"about_ca_system_score_gemma":0.000024859484,"threshold_uncertainty_score":0.584011},"labels":[],"label_agreement":null},{"id":"W2732970823","doi":"10.1007/978-3-319-61542-4_15","title":"Monitoring of Power Transmission Lines Through Wireless Sensor Networks in Smart Grid","year":2017,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Smart grid; Electric power transmission; Wireless sensor network; Transmission (telecommunications); Real-time computing; Grid; Wireless; Position (finance); Power (physics); Distributed computing; Computer network; Telecommunications; Electrical engineering; Engineering","score_opus":0.014945706189022677,"score_gpt":0.2553833871566772,"score_spread":0.2404376809676545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732970823","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090595186,0.6248831,0.14976041,0.000018852848,0.027689222,0.0015581074,0.000020671394,0.00029077183,0.10518364],"genre_scores_gemma":[0.9397953,0.057696115,0.00038591598,0.0000022770118,0.00078652735,0.0000049856258,0.0000038925727,0.000056054585,0.0012689368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984294,0.0000195738,0.0007437474,0.00032597853,0.00019136938,0.00028992258],"domain_scores_gemma":[0.9992668,0.00017236733,0.00021178431,0.00025763066,0.000042206917,0.000049222937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022036303,0.0003305795,0.0006504507,0.00012384132,0.00008196084,0.000041285395,0.0002373346,0.0002947485,0.0000031013112],"category_scores_gemma":[0.0000076770775,0.00030859894,0.00008020699,0.000031869666,0.00009331246,0.00017751212,0.000056720957,0.000523658,0.0000016251635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002517848,0.000019914785,0.008076271,0.001992331,0.000043285003,0.000078359655,0.002133276,0.9103131,0.000050734096,0.003355131,0.000013739925,0.07389864],"study_design_scores_gemma":[0.0007111566,0.00018537027,0.0011659487,0.0724499,0.000048177168,0.000106495776,0.0015328033,0.69459677,0.0018285753,0.0011382382,0.22425687,0.001979721],"about_ca_topic_score_codex":0.00007307329,"about_ca_topic_score_gemma":0.000026262082,"teacher_disagreement_score":0.8492001,"about_ca_system_score_codex":0.00005290691,"about_ca_system_score_gemma":0.000010216353,"threshold_uncertainty_score":0.99993664},"labels":[],"label_agreement":null},{"id":"W2734814867","doi":"10.1109/tii.2017.2720679","title":"On the Impact of Cyber Attacks on Data Integrity in Storage-Based Transient Stability Control","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Texas A and M University","keywords":"Transient (computer programming); Smart grid; Electric power system; Computer science; Data integrity; Controller (irrigation); Focus (optics); Stability (learning theory); Power grid; Parametric statistics; Computer security; Power (physics); Engineering; Electrical engineering","score_opus":0.10627285364994925,"score_gpt":0.3074434062048365,"score_spread":0.20117055255488725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734814867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374842,0.0000023815908,0.058380157,0.00019956696,0.0010737855,0.0006356972,0.0010468514,0.00005291812,0.0011244285],"genre_scores_gemma":[0.99982464,0.000007796726,0.000025539695,0.000046526766,0.00005172493,0.000019563828,0.0000089365885,0.0000117672125,0.000003503371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986444,0.00008239633,0.0005764867,0.000114779556,0.0003257739,0.00025616813],"domain_scores_gemma":[0.99762625,0.00065858325,0.00013060975,0.0014550554,0.00004440851,0.00008510424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079138606,0.00021474884,0.00029955953,0.00013069545,0.00023874357,0.00008595011,0.0007927358,0.00027158292,0.00013452601],"category_scores_gemma":[0.00012644648,0.00014305378,0.00014157748,0.0001365211,0.00019688271,0.00039520327,0.0000021333333,0.0014853785,0.000020834821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043429364,0.00030681994,0.00013026016,0.000030935385,0.00006970774,0.0000012344627,0.0012132088,0.99365944,0.000072737224,0.000030152909,0.0009898818,0.0030613316],"study_design_scores_gemma":[0.0044334484,0.0006899248,0.0023157396,0.00031343848,0.000049345224,0.0000013862975,0.00042938927,0.976995,0.014152297,0.000027657807,0.00026489544,0.0003274572],"about_ca_topic_score_codex":0.00033858794,"about_ca_topic_score_gemma":0.0002169651,"teacher_disagreement_score":0.062340427,"about_ca_system_score_codex":0.00021006752,"about_ca_system_score_gemma":0.00015327621,"threshold_uncertainty_score":0.64533126},"labels":[],"label_agreement":null},{"id":"W2738893410","doi":"10.1109/iwcmc.2017.7986278","title":"Mitigating False Negative intruder decisions in WSN-based Smart Grid monitoring","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Anomaly detection; Intrusion detection system; False positive paradox; Real-time computing; Wireless sensor network; Signature (topology); Cluster analysis; Data mining; False positives and false negatives; Grid; Anomaly-based intrusion detection system; Flexibility (engineering); Smart grid; Computer network; Artificial intelligence; Engineering","score_opus":0.02085844173450155,"score_gpt":0.26673342275767464,"score_spread":0.2458749810231731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738893410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891825,0.00007169108,0.0013251366,0.00016312055,0.0016306037,0.00012275774,0.000004314177,0.00015885524,0.007341056],"genre_scores_gemma":[0.9953626,0.000039304545,0.004178634,0.000026341557,0.0003049294,0.000020426784,0.0000012846774,0.000018155693,0.000048326914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991175,0.000018271112,0.00021526488,0.00018174486,0.00017187723,0.00029535234],"domain_scores_gemma":[0.99910885,0.00031181477,0.000035113746,0.0004130265,0.000032915803,0.000098272554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016588358,0.00013964628,0.00015697732,0.00009412843,0.000297445,0.00013763431,0.00034882687,0.000086577544,0.00003899534],"category_scores_gemma":[0.00059884164,0.00012690504,0.00004869645,0.00009417545,0.00008422408,0.0002816853,0.00006345801,0.00027385476,0.00006310508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003524816,0.00013388816,0.7317452,0.00009229821,0.00006226407,0.00019506413,0.004701409,0.20425695,0.02029296,0.00095437514,0.0020105063,0.035519823],"study_design_scores_gemma":[0.0013019708,0.00003953591,0.60117316,0.00062516815,0.000011250739,0.0000052613454,0.0011901795,0.1784258,0.21325037,0.0015244936,0.0018025093,0.00065031607],"about_ca_topic_score_codex":0.00021280737,"about_ca_topic_score_gemma":0.00047651978,"teacher_disagreement_score":0.1929574,"about_ca_system_score_codex":0.00005394689,"about_ca_system_score_gemma":0.000022899683,"threshold_uncertainty_score":0.51750374},"labels":[],"label_agreement":null},{"id":"W2740704332","doi":"10.1109/access.2017.2731780","title":"Resilient Design of Networked Control Systems Under Time Delay Switch Attacks, Application in Smart Grid","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Denial-of-service attack; Redundancy (engineering); Computer network; Distributed computing; Smart grid; Cryptography; Cyber-physical system; Flooding (psychology); Computer security; The Internet; Engineering","score_opus":0.021227260355761213,"score_gpt":0.26926520715830254,"score_spread":0.24803794680254132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740704332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62090725,0.0009354985,0.37379593,0.00009355959,0.0021465821,0.0010369762,0.000017063325,0.00013634043,0.00093078223],"genre_scores_gemma":[0.999376,0.00008663119,0.000046363613,0.00002132984,0.00029931695,0.00009635554,0.0000042954744,0.00002133658,0.000048359765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895406,0.000055798988,0.0003254549,0.00020625048,0.00019319437,0.00026525633],"domain_scores_gemma":[0.99903405,0.00012418677,0.00012321936,0.0006026398,0.000052920008,0.000062960426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036908503,0.00014152039,0.00026781234,0.000075198564,0.000111416615,0.00012616902,0.0007560442,0.00012633711,0.0000068806635],"category_scores_gemma":[0.000019153234,0.00013209677,0.000037087186,0.00010865744,0.00006813376,0.00035296756,0.000035421122,0.00015176764,0.000049010567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037243983,0.000027925002,0.00520815,0.00007129582,0.000024332774,0.0000047379763,0.00005578609,0.98681647,0.0036081753,0.000055127253,0.0037300903,0.00036068857],"study_design_scores_gemma":[0.000731078,0.000021435537,0.019485421,0.00011768342,0.000017964287,0.0000051077855,0.000009913467,0.97581494,0.0026840412,0.0001067303,0.0008033886,0.00020229051],"about_ca_topic_score_codex":0.000306681,"about_ca_topic_score_gemma":0.00009704658,"teacher_disagreement_score":0.37846875,"about_ca_system_score_codex":0.000059486483,"about_ca_system_score_gemma":0.000023734148,"threshold_uncertainty_score":0.538675},"labels":[],"label_agreement":null},{"id":"W2740778782","doi":"10.1109/icc.2017.7997099","title":"Hierarchical trust-based black-hole detection in WSN-based smart grid monitoring","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer science; Network packet; Wireless sensor network; Cluster analysis; Grid; Resilience (materials science); Computer network; Reliability (semiconductor); Distributed computing; Wireless; Computer security; Real-time computing; Power (physics); Telecommunications; Engineering","score_opus":0.012071587107187785,"score_gpt":0.23543169331566097,"score_spread":0.22336010620847319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740778782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893028,0.00002811728,0.004738243,0.00014336413,0.0017438782,0.00012588732,0.0000034035138,0.00026595546,0.003648348],"genre_scores_gemma":[0.9989287,0.000009095114,0.000517564,0.000026198228,0.00041801835,0.000018938472,0.0000016279602,0.000021409869,0.00005840859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909675,0.000023025561,0.00018206295,0.00020199167,0.00018448169,0.00031166698],"domain_scores_gemma":[0.9993582,0.000065622495,0.000024982848,0.00043296668,0.00001795404,0.0001003062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013598485,0.00014602423,0.00014699649,0.00013140489,0.00020089035,0.000104035375,0.00028153244,0.00013267416,0.00004704956],"category_scores_gemma":[0.00007967476,0.00014002608,0.00006469689,0.000088652814,0.000109485656,0.00016076592,0.000023264847,0.00035084694,0.00007159226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014027175,0.00018590345,0.20307383,0.00028762384,0.000025026875,0.00011492557,0.0005190686,0.70731115,0.055500496,0.00010963385,0.000236186,0.03249586],"study_design_scores_gemma":[0.00063248276,0.00003732273,0.17866729,0.000051620165,0.0000033853103,5.876644e-7,0.000024624953,0.5709638,0.24802199,0.00003290172,0.0013649135,0.0001990815],"about_ca_topic_score_codex":0.00013445398,"about_ca_topic_score_gemma":0.00035091274,"teacher_disagreement_score":0.1925215,"about_ca_system_score_codex":0.00007490228,"about_ca_system_score_gemma":0.00002644753,"threshold_uncertainty_score":0.57100976},"labels":[],"label_agreement":null},{"id":"W2741091896","doi":"10.1109/icc.2017.7996942","title":"Fundamental limits on communication latency for distributed control via electromechanical waves","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Latency (audio); Computer science; Smart grid; Communications system; Key (lock); Cyber-physical system; Telecommunications network; Grid; Distributed computing; Control system; Low latency (capital markets); Power grid; Computer network; Electronic engineering; Telecommunications; Power (physics); Engineering; Electrical engineering; Computer security","score_opus":0.013187929801618859,"score_gpt":0.24401690434521817,"score_spread":0.2308289745435993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741091896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8029883,0.00029086406,0.18650277,0.0021375099,0.0007771264,0.00093055976,0.0001542355,0.00056132546,0.005657321],"genre_scores_gemma":[0.99929535,0.00007226261,0.00035337426,0.00006393866,0.00005749399,0.000035337747,0.000043435746,0.000011048566,0.00006774701],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949956,0.000011509734,0.00011549294,0.00010133746,0.00007746847,0.00019464879],"domain_scores_gemma":[0.9993712,0.00009632878,0.000027214928,0.0004310315,0.000021465772,0.000052801955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008997052,0.00008937105,0.00011206006,0.000017501043,0.0003303845,0.00007124454,0.00032640467,0.00007182897,0.000029815359],"category_scores_gemma":[0.000050852865,0.0000764899,0.0000529008,0.000017318982,0.00003873971,0.000118313816,0.000017831744,0.00011608743,0.000031046857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001287473,0.002077686,0.0066158473,0.00046645183,0.00093053083,0.000020618187,0.0010366088,0.011627058,0.60339993,0.26775372,0.038047615,0.066736475],"study_design_scores_gemma":[0.0042060013,0.001003901,0.041762646,0.00008762272,0.000058048045,0.000014292979,0.00007097186,0.81342894,0.11567604,0.00902957,0.013977197,0.00068478944],"about_ca_topic_score_codex":0.000010608435,"about_ca_topic_score_gemma":0.000047329813,"teacher_disagreement_score":0.80180186,"about_ca_system_score_codex":0.0000370552,"about_ca_system_score_gemma":0.000004934268,"threshold_uncertainty_score":0.31191677},"labels":[],"label_agreement":null},{"id":"W2741841043","doi":"10.1109/icc.2017.7996941","title":"A transient stability control adaptive to measurements uncertainties","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Computer science; Smart grid; Controller (irrigation); Transient (computer programming); Electric power system; Adaptive control; Distributed power; Stability (learning theory); Control engineering; Power (physics); Engineering; Control (management)","score_opus":0.048853371952418664,"score_gpt":0.24261737160402283,"score_spread":0.19376399965160418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741841043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90992427,0.00010036077,0.047723297,0.00051047053,0.0009435563,0.00046233714,0.000016625896,0.00023191502,0.040087197],"genre_scores_gemma":[0.99949044,0.000003910308,0.00029066592,0.00007970258,0.000048723407,0.000022327054,2.4422206e-7,0.000006888526,0.000057083693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993642,0.000013411735,0.000105048486,0.00013153482,0.00018826047,0.00019753654],"domain_scores_gemma":[0.99946856,0.000017875554,0.000010800977,0.00035018727,0.000051738698,0.00010084421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017119152,0.000092535534,0.00012003503,0.000021306058,0.0001810917,0.000058197427,0.00023861804,0.00003436488,0.000107914595],"category_scores_gemma":[0.000052743013,0.000076034354,0.000042762047,0.000022574515,0.000057114317,0.00012388921,0.000014370437,0.00006884511,0.00005635291],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015380867,0.0008886262,0.14360279,0.00067763205,0.0014274428,0.00006178046,0.047857437,0.44020766,0.26277643,0.008560658,0.03983695,0.052564487],"study_design_scores_gemma":[0.004848595,0.00065067003,0.5884417,0.00019351779,0.00010658876,0.0000060405973,0.0031351368,0.15201697,0.21737446,0.0008856272,0.030634692,0.0017059875],"about_ca_topic_score_codex":0.00012440562,"about_ca_topic_score_gemma":0.0006712733,"teacher_disagreement_score":0.44483894,"about_ca_system_score_codex":0.000049322403,"about_ca_system_score_gemma":0.000011955435,"threshold_uncertainty_score":0.3100591},"labels":[],"label_agreement":null},{"id":"W2743297975","doi":"10.4108/eai.7-8-2017.152990","title":"A Hybrid Encryption Scheme for Advanced Metering Infrastructure Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Metering mode; Smart grid; Computer science; Encryption; Scheme (mathematics); Grid; Computer security; Electricity; Power grid; Distributed computing; Telecommunications; Computer network; Embedded system; Power (physics); Engineering; Electrical engineering","score_opus":0.006911009938131514,"score_gpt":0.22699019733183798,"score_spread":0.22007918739370647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743297975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5492806,0.0001405412,0.4467778,0.000030054198,0.0010954046,0.0001639474,0.0000033126466,0.00020498669,0.0023033954],"genre_scores_gemma":[0.98195434,0.0000827404,0.017553471,0.000024546009,0.00026327642,0.000026271686,0.0000047692342,0.000014240413,0.00007635638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954706,0.000002216018,0.00009093778,0.00011276467,0.000053978474,0.00019303798],"domain_scores_gemma":[0.99962384,0.000019185447,0.000023396697,0.00026874102,0.000018704697,0.000046130714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049464157,0.000091302085,0.0000951402,0.000021025011,0.00021731714,0.00007992018,0.00020275105,0.000045997374,0.00003313427],"category_scores_gemma":[0.000038092447,0.00008144583,0.00004530584,0.000012823796,0.00002828829,0.0002705035,0.000035542645,0.000094309784,0.0000047579138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047300393,0.000010612136,0.0008901771,0.00018871289,0.00006559588,0.0000075520047,0.00018421047,0.84388906,0.07406916,0.0028936618,0.0056734346,0.0720805],"study_design_scores_gemma":[0.00046421608,0.000029528854,0.0039844024,0.000036717636,0.0000070225415,0.0000095283895,0.000023835415,0.9570986,0.024265302,0.0010649872,0.012785061,0.0002307779],"about_ca_topic_score_codex":0.0000023716545,"about_ca_topic_score_gemma":0.0000065096774,"teacher_disagreement_score":0.43267375,"about_ca_system_score_codex":0.000018234237,"about_ca_system_score_gemma":0.000003783376,"threshold_uncertainty_score":0.33212647},"labels":[],"label_agreement":null},{"id":"W2748610140","doi":"10.1109/tii.2017.2742527","title":"Critical Links Identification for Selective Outages in Interdependent Power-Communication Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blackout; Cascading failure; Smart grid; Computer science; Scalability; Interdependence; Distributed computing; Electric power system; Telecommunications network; Vulnerability assessment; Identification (biology); Critical infrastructure; Power-system protection; Vulnerability (computing); Grid; Interdependent networks; Computer network; Power (physics); Complex network; Engineering; Computer security","score_opus":0.03245288311371886,"score_gpt":0.2924900434632512,"score_spread":0.26003716034953234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748610140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049247693,0.000022949747,0.94464886,0.00025887488,0.003047226,0.00058071007,0.000058547026,0.00014356595,0.0019915951],"genre_scores_gemma":[0.9992459,0.00007747775,0.00040371946,0.000029740244,0.00009482613,0.000094808915,0.000008439517,0.000015266025,0.000029830873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990002,0.000035104156,0.0005306559,0.00007812883,0.00013494676,0.00022094921],"domain_scores_gemma":[0.9990389,0.00025329398,0.00009184262,0.0004732319,0.00008118242,0.0000615666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004424235,0.00013296242,0.00015549255,0.00014634112,0.0004384343,0.00027896618,0.00040328337,0.00039170243,0.000009886399],"category_scores_gemma":[0.00010007095,0.000140516,0.000076588076,0.00008403094,0.00010332143,0.0007808104,0.0000029926464,0.0009959844,0.000019510713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014039614,0.00019233552,0.00009817596,0.000082454884,0.000081589875,0.0000011875136,0.0072660353,0.93850505,0.00013365797,0.000575066,0.0023433212,0.0505807],"study_design_scores_gemma":[0.0022188746,0.00020688405,0.0011312463,0.0003696073,0.00006481031,0.000009445386,0.0022954028,0.96625733,0.025040336,0.0005026897,0.0013813191,0.0005220319],"about_ca_topic_score_codex":0.00002144248,"about_ca_topic_score_gemma":0.0001150494,"teacher_disagreement_score":0.9499982,"about_ca_system_score_codex":0.00013072073,"about_ca_system_score_gemma":0.000024018454,"threshold_uncertainty_score":0.57300764},"labels":[],"label_agreement":null},{"id":"W2749401031","doi":"10.4236/ica.2017.83013","title":"Generalized Attack Model for Networked Control Systems, Evaluation of Control Methods","year":2017,"lang":"en","type":"article","venue":"Intelligent Control and Automation","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"PID controller; Control system; Networked control system; Controller (irrigation); Control engineering; Fidelity; Control (management); Industrial control system; Model predictive control; Computer science; Engineering; Nonlinear system; Control theory (sociology); Artificial intelligence; Telecommunications","score_opus":0.06016417608075418,"score_gpt":0.35425942515635567,"score_spread":0.2940952490756015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749401031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087441176,0.0034425461,0.9063472,0.000117783246,0.0008534778,0.0014645964,0.00006183843,0.000109662324,0.00016169093],"genre_scores_gemma":[0.9972882,0.0001351586,0.0019528966,0.000042500757,0.00021088104,0.000310715,0.000012603476,0.00001881349,0.000028176293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863195,0.00019458782,0.0004901782,0.00018736169,0.0002715047,0.00022441191],"domain_scores_gemma":[0.998757,0.00027529613,0.00024403849,0.00031409276,0.0003406756,0.00006886832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020240634,0.00017312793,0.0004176141,0.00007051796,0.00021655254,0.00012251556,0.00018340364,0.0001353301,0.000006597988],"category_scores_gemma":[0.00024398789,0.0001510284,0.000104139806,0.000028144235,0.00006984459,0.00023910638,0.000008776049,0.00007551724,0.0000027482902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082803934,0.000016440614,0.00012206842,0.00011164251,0.00014077133,1.2854008e-7,0.00015537927,0.95603013,0.00472461,0.0012930507,0.0002261404,0.037096847],"study_design_scores_gemma":[0.0042063273,0.000039218743,0.0008461855,0.0000692978,0.0002981422,0.000001880238,0.000020754167,0.99241877,0.0006840862,0.0007051189,0.0005491228,0.00016108512],"about_ca_topic_score_codex":0.000030242822,"about_ca_topic_score_gemma":0.000015915613,"teacher_disagreement_score":0.9098471,"about_ca_system_score_codex":0.000051292216,"about_ca_system_score_gemma":0.000034897454,"threshold_uncertainty_score":0.61587596},"labels":[],"label_agreement":null},{"id":"W2750105184","doi":"10.1109/tii.2017.2742147","title":"Decentralized Cloud-SDN Architecture in Smart Grid: A Dynamic Pricing Model","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cloud computing; Smart grid; Computer science; Dynamic pricing; Scheduling (production processes); Distributed computing; Virtualization; Demand response; Electricity; Engineering; Operating system","score_opus":0.02596538810138846,"score_gpt":0.24868436998100868,"score_spread":0.22271898187962022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750105184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5099298,0.000014118376,0.48405775,0.00012319157,0.0038706195,0.00041338176,0.000073759526,0.00019948864,0.0013179223],"genre_scores_gemma":[0.9983386,0.0001520754,0.001229277,0.00005499992,0.00010232818,0.0000293976,0.0000048952365,0.000023328583,0.000065119675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986868,0.000018172725,0.00054093497,0.000097778226,0.00024699874,0.00040934235],"domain_scores_gemma":[0.99920523,0.00006555415,0.000095977324,0.00048771204,0.000021708747,0.0001238034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019043528,0.00022645952,0.0002669274,0.00022874291,0.00036104402,0.00016193789,0.00041339587,0.0003296826,0.000022238819],"category_scores_gemma":[0.000022149532,0.00021654752,0.000101848156,0.0001556347,0.0000921795,0.00044924198,0.000002987292,0.0010745834,0.000033552777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051117022,0.000036681846,0.0000251503,0.000040192688,0.000025629182,0.0000027792369,0.0021124813,0.9862746,0.00009755798,0.000018958348,0.00024233793,0.011072543],"study_design_scores_gemma":[0.001799608,0.000041912594,0.000057082303,0.00017767346,0.000026551576,0.000012580428,0.00023205674,0.99223757,0.0038161662,0.00011911973,0.0011816103,0.00029804668],"about_ca_topic_score_codex":0.000059029568,"about_ca_topic_score_gemma":0.00038998557,"teacher_disagreement_score":0.48840883,"about_ca_system_score_codex":0.00016140602,"about_ca_system_score_gemma":0.000075196185,"threshold_uncertainty_score":0.88305515},"labels":[],"label_agreement":null},{"id":"W2750188954","doi":"10.1109/tsg.2017.2735244","title":"Guest Editorial Smart Grid Cyber-Physical Security","year":2017,"lang":"en","type":"editorial","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer security; Cyber-physical system; Resilience (materials science); Computer science; Variety (cybernetics); Critical infrastructure; Grid; Engineering; Electrical engineering","score_opus":0.007102725039336406,"score_gpt":0.23884585780757855,"score_spread":0.23174313276824215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750188954","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010363375,0.00012870316,0.0013478111,0.000058300557,0.9897253,0.00057955564,0.0036104876,0.0011057607,0.0024077697],"genre_scores_gemma":[0.010569274,0.00083581806,0.000023264432,0.000014861804,0.9869542,0.00024089283,0.00036882336,0.0002532609,0.0007395987],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945833,0.00014627143,0.0007526604,0.0011750875,0.0021754722,0.0011672167],"domain_scores_gemma":[0.99601763,0.0009738046,0.00021436166,0.0018926453,0.00036153357,0.0005399947],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0004501779,0.0012276388,0.001300793,0.00039108927,0.0010605075,0.00042844474,0.0014870999,0.0023898738,0.000108306485],"category_scores_gemma":[0.000101953396,0.0012602997,0.0008918879,0.00025030214,0.00045061993,0.00061467587,0.000012257972,0.005448227,0.0016949502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012998303,0.00035476385,0.0000015853038,0.00026943118,0.00026480804,0.00005132439,0.0006014358,0.00267191,0.00013694682,0.0000021585158,0.99524695,0.00026870862],"study_design_scores_gemma":[0.0010685818,0.00026565473,0.0000067924375,0.00028523072,0.00030278027,0.00000947262,0.000021470674,0.001250046,0.004360391,0.000055456887,0.9910655,0.0013086365],"about_ca_topic_score_codex":0.0004126896,"about_ca_topic_score_gemma":0.0010530526,"teacher_disagreement_score":0.009532937,"about_ca_system_score_codex":0.00042345797,"about_ca_system_score_gemma":0.00042087934,"threshold_uncertainty_score":0.9990823},"labels":[],"label_agreement":null},{"id":"W2751650629","doi":"10.26443/el.v28i1.211","title":"RESOURCES ON THE NET: Ethical Issues","year":2017,"lang":"en","type":"article","venue":"Education Libraries","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ethical issues; Business; Net (polyhedron); Engineering ethics; Engineering","score_opus":0.016719507689274236,"score_gpt":0.26000469162859075,"score_spread":0.2432851839393165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751650629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8090171,0.0015368783,0.000027613141,0.099072516,0.0031314986,0.00010804147,0.0000024648532,0.00021843957,0.08688545],"genre_scores_gemma":[0.9950467,0.0000680954,0.00012855354,0.0011387153,0.0010036948,0.000016823287,0.0000019527022,0.000008689897,0.0025868255],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996642,0.000019333049,0.00006247598,0.0000723025,0.00009358158,0.00008812124],"domain_scores_gemma":[0.99945444,0.000113237555,0.00001906164,0.00037195557,0.000010041513,0.000031254276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072476345,0.000059127608,0.00004842165,0.000019087598,0.00049630733,0.00042305788,0.00033527898,0.00007969656,0.00022726883],"category_scores_gemma":[0.00020093519,0.000039102102,0.000018789375,0.000026114187,0.00018796837,0.0002344003,0.000027512682,0.00025095354,0.000091439855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071331137,0.000033138982,0.002486535,0.00002426138,0.000013737207,4.6750694e-7,0.01230204,0.00036150205,0.00015800653,0.35272995,0.62798166,0.0039015948],"study_design_scores_gemma":[0.000024842184,0.000011574369,0.04289415,0.000037845224,0.000002367898,9.77036e-7,0.0009942317,0.00031914326,0.005886916,0.0105195725,0.93922174,0.00008662803],"about_ca_topic_score_codex":0.000016728856,"about_ca_topic_score_gemma":0.0000050675285,"teacher_disagreement_score":0.34221038,"about_ca_system_score_codex":0.00000457823,"about_ca_system_score_gemma":0.000035322766,"threshold_uncertainty_score":0.40795568},"labels":[],"label_agreement":null},{"id":"W2762859738","doi":"10.1109/tsg.2017.2761804","title":"Balancing Security and Efficiency for Smart Metering Against Misbehaving Collectors","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Smart grid; Smart meter; Computer security; Computer science; Metering mode; Data aggregator; Encryption; Data integrity; Overhead (engineering); Computer network; Engineering; Wireless sensor network; Operating system","score_opus":0.012996124767853617,"score_gpt":0.23487205875617684,"score_spread":0.22187593398832323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762859738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89309585,0.00013987988,0.09956498,0.00006285847,0.005328546,0.00042791176,0.000099977915,0.00029525228,0.0009847684],"genre_scores_gemma":[0.99891484,0.00020561289,0.0004298482,0.000040255538,0.00019221524,0.000092113005,0.00000269691,0.000042126572,0.0000802778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987626,0.000019920579,0.00026050868,0.00034007555,0.00018392141,0.00043298348],"domain_scores_gemma":[0.9991305,0.00015058747,0.00005262162,0.00046224185,0.00004354679,0.00016053754],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00023621334,0.00025383668,0.0002719528,0.00014897033,0.0013669067,0.00020676525,0.00027858865,0.00013307341,0.000015490734],"category_scores_gemma":[0.00002294549,0.0002613025,0.00013825965,0.00010074063,0.00012917894,0.00030412342,0.0000037414002,0.00030477898,0.00001067927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068461266,0.0014734822,0.011008533,0.0038081734,0.0010795532,0.00018655001,0.023644468,0.4540438,0.4124364,0.00016796119,0.007981347,0.08348513],"study_design_scores_gemma":[0.0036088561,0.00052363327,0.009245245,0.0007863304,0.0002679625,0.000081766775,0.000712738,0.51552415,0.4478201,0.00012999367,0.019229643,0.002069587],"about_ca_topic_score_codex":0.00006830637,"about_ca_topic_score_gemma":0.0003054169,"teacher_disagreement_score":0.105819024,"about_ca_system_score_codex":0.00008419997,"about_ca_system_score_gemma":0.000026315434,"threshold_uncertainty_score":0.9999839},"labels":[],"label_agreement":null},{"id":"W2765680369","doi":"10.1109/tsg.2017.2763954","title":"Cloud-Centric Collaborative Security Service Placement for Advanced Metering Infrastructures","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cloud computing; Computer science; Computer security; Smart grid; Cloud computing security; Metering mode; Exploit; Key (lock); Security service; Service (business); Computer network; Distributed computing; Information security; Engineering","score_opus":0.010056850727926829,"score_gpt":0.24556085167545885,"score_spread":0.23550400094753202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765680369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62346256,0.00020530804,0.3556487,0.0003335,0.016673887,0.0012580828,0.0008392074,0.00047368286,0.001105096],"genre_scores_gemma":[0.9974639,0.00020351158,0.0015529199,0.00011784749,0.00035993397,0.00021241618,0.000007647911,0.000038800597,0.000043017702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988191,0.000023626413,0.00025240143,0.0003007424,0.00021628056,0.00038781558],"domain_scores_gemma":[0.999024,0.00010699284,0.000072942305,0.00053404487,0.00012576731,0.0001362737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011148251,0.00026670005,0.00025904522,0.000113336195,0.0008591362,0.00013836012,0.0003760709,0.00012285446,0.000073045754],"category_scores_gemma":[0.000012020075,0.00026458257,0.00010468362,0.00018538696,0.00006545429,0.00035183906,0.0000035226428,0.000283806,0.00003017697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006118364,0.00016052533,0.0000624559,0.00045469307,0.0003009766,0.000011221038,0.003362732,0.97090465,0.013797835,0.00012501127,0.0037490379,0.0064590056],"study_design_scores_gemma":[0.0059727277,0.0007182113,0.0015361788,0.00029842596,0.0002372221,0.00002965061,0.0012312151,0.14330043,0.75731593,0.0007785259,0.08699026,0.001591249],"about_ca_topic_score_codex":0.000028205539,"about_ca_topic_score_gemma":0.00051839324,"teacher_disagreement_score":0.82760423,"about_ca_system_score_codex":0.0001114321,"about_ca_system_score_gemma":0.00004017043,"threshold_uncertainty_score":0.9999806},"labels":[],"label_agreement":null},{"id":"W2766091743","doi":"10.3233/mgs-170272","title":"Multi-criteria trust establishment for Internet of Agents in smart grids","year":2017,"lang":"en","type":"article","venue":"Multiagent and Grid Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; The Internet; Smart grid; Internet of Things; World Wide Web; Electrical engineering","score_opus":0.049014958081134034,"score_gpt":0.29352607478935544,"score_spread":0.2445111167082214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766091743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907099,0.0010754705,0.001974284,0.000025569469,0.0051921164,0.0006863062,0.000072329975,0.00004345876,0.0002205642],"genre_scores_gemma":[0.99875444,0.00016127915,0.0003565408,0.0000060560405,0.00023817542,0.00009278016,0.000018882181,0.000018686836,0.0003531283],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990364,0.00002365388,0.00036173163,0.00020706674,0.00012141831,0.00024975228],"domain_scores_gemma":[0.9994632,0.00003587485,0.000082754996,0.0003040869,0.00003319917,0.000080911785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030186385,0.0001604271,0.0002959115,0.00009059211,0.00008367274,0.00013532779,0.00027544601,0.00009179181,0.000010280976],"category_scores_gemma":[0.000054326058,0.0001438307,0.00005816728,0.00003113314,0.00006900523,0.00019466679,0.0000726977,0.000084885825,0.0000050541503],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026965627,0.00073951494,0.87528497,0.0076790308,0.00036884527,0.000095883006,0.015729638,0.0102309985,0.033885136,0.0005117442,0.048114423,0.007090169],"study_design_scores_gemma":[0.0022030876,0.00006707765,0.21916896,0.00040315595,0.000017322163,0.000006643317,0.000348079,0.74417967,0.005054065,0.0000029712003,0.028268347,0.000280639],"about_ca_topic_score_codex":0.0007024848,"about_ca_topic_score_gemma":0.00021184658,"teacher_disagreement_score":0.73394865,"about_ca_system_score_codex":0.000036938854,"about_ca_system_score_gemma":0.0000066601597,"threshold_uncertainty_score":0.58652455},"labels":[],"label_agreement":null},{"id":"W2766119508","doi":"10.1109/jiot.2017.2764941","title":"Cooperative Relaying Strategies for Smart Grid Communications: Bargaining Models and Solutions","year":2017,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hebei Province; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Relay; Bargaining problem; Smart grid; Profit (economics); Grid; Operations research; Mathematical optimization; Microeconomics; Economics; Power (physics); Engineering","score_opus":0.0673535572682624,"score_gpt":0.29530096039986314,"score_spread":0.22794740313160072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766119508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41444218,0.0041828896,0.5645965,0.0006344959,0.0024154168,0.0002596963,0.00001869701,0.000097395074,0.01335273],"genre_scores_gemma":[0.9917129,0.0008396379,0.007219112,0.000036037505,0.00012126329,0.0000079896345,0.0000011670008,0.0000131097895,0.000048761598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993599,0.000023109771,0.00026494297,0.000079879435,0.00009617967,0.00017595831],"domain_scores_gemma":[0.9992581,0.00011787948,0.00014082457,0.00028730114,0.00013381826,0.000062101106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004145755,0.0000980061,0.00015882407,0.000063265674,0.0005760766,0.00037600417,0.00059791846,0.00006300182,0.000004139801],"category_scores_gemma":[0.00008681706,0.00008942887,0.00005849746,0.000017867183,0.00022593497,0.0015039701,0.000093434726,0.00037768585,0.0000010881947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027396253,0.0002682394,0.002974066,0.00065155805,0.0016285562,0.00004431516,0.16850808,0.40841103,0.06744255,0.29455647,0.040173475,0.015067715],"study_design_scores_gemma":[0.0004049573,0.00008173254,0.00016118994,0.0004420946,0.000028396438,0.00015021177,0.002050466,0.9753776,0.0024510773,0.017900271,0.0007939881,0.00015801576],"about_ca_topic_score_codex":0.00005455711,"about_ca_topic_score_gemma":0.0000239317,"teacher_disagreement_score":0.57727075,"about_ca_system_score_codex":0.000029002937,"about_ca_system_score_gemma":0.000037793703,"threshold_uncertainty_score":0.4430774},"labels":[],"label_agreement":null},{"id":"W2766731932","doi":"10.1007/s11036-017-0956-0","title":"Hybrid Cryptography Algorithm with Precomputation for Advanced Metering Infrastructure Networks","year":2017,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Precomputation; Computer science; Encryption; Overhead (engineering); Smart grid; Computer network; Secure communication; Cryptography; Distributed computing; Key exchange; Public-key cryptography; Embedded system; Computer security; Computation; Algorithm; Operating system","score_opus":0.0028592259516663884,"score_gpt":0.20930443612190208,"score_spread":0.2064452101702357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766731932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025021713,0.0008818986,0.97276694,0.000010035601,0.00015451343,0.0008701294,0.000015638381,0.00013382018,0.00014532136],"genre_scores_gemma":[0.98152775,0.00071779016,0.015089214,0.000020737583,0.0005207187,0.0020347615,0.00005455106,0.000027813374,0.000006650814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994051,0.0000036127176,0.00012332127,0.00020712141,0.0000514483,0.0002094006],"domain_scores_gemma":[0.99949795,0.00004867818,0.000058189537,0.00028394492,0.00003747531,0.00007378067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047084308,0.00013377724,0.0001322314,0.000030226225,0.0005758692,0.00014556259,0.00016255888,0.000057621513,0.0000030261494],"category_scores_gemma":[0.0000013695558,0.000117771604,0.000037272555,0.000058425165,0.00008715676,0.00016017049,0.000030137338,0.00012802733,3.739775e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034716984,0.000005119247,0.000084794585,0.000014217444,0.000015561525,1.8046354e-7,0.000007871135,0.7341339,0.000018352022,0.00012452815,0.00015579822,0.2654362],"study_design_scores_gemma":[0.00031926832,0.00005062414,0.00249112,0.000027763523,0.000022136539,0.000007757123,0.000020892328,0.97736025,0.00011718244,0.0006284514,0.018773504,0.00018104872],"about_ca_topic_score_codex":0.0000019060172,"about_ca_topic_score_gemma":0.000005684218,"teacher_disagreement_score":0.9576777,"about_ca_system_score_codex":0.000009449234,"about_ca_system_score_gemma":0.000003616759,"threshold_uncertainty_score":0.48025867},"labels":[],"label_agreement":null},{"id":"W2767519807","doi":"10.1007/s12083-017-0618-9","title":"FGDA: Fine-grained data analysis in privacy-preserving smart grid communications","year":2017,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Computer science; Smart grid; Ciphertext; Variance (accounting); Encryption; Distributed computing; Computer network; Data mining; Real-time computing; Engineering","score_opus":0.05056748979579573,"score_gpt":0.3152218450508855,"score_spread":0.2646543552550898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767519807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32224494,0.0068535884,0.44356683,0.1608551,0.002702724,0.006085509,0.0017208331,0.002302189,0.0536683],"genre_scores_gemma":[0.9895164,0.0002272399,0.008115301,0.00013052188,0.0006476295,0.00032723005,0.0004888597,0.000028730221,0.00051809504],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850285,0.000029163626,0.00033179848,0.00046797717,0.0002860875,0.00038211347],"domain_scores_gemma":[0.9945657,0.00019528437,0.000066027744,0.0048417365,0.000112320515,0.00021893079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071294187,0.00018760574,0.0002851747,0.00025466963,0.0008577455,0.0003317751,0.0031956753,0.00008759081,0.000011191467],"category_scores_gemma":[0.00021913929,0.00020105811,0.000052053485,0.00087936403,0.000096192176,0.00020547371,0.0018880664,0.00031705236,0.000040441908],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003185004,0.00043325275,0.380027,0.0002076936,0.0011046233,0.000011281565,0.0059212833,0.27010688,0.0013254844,0.00554548,0.20504303,0.13024212],"study_design_scores_gemma":[0.00015562287,0.0000064643814,0.09791438,0.00004842726,0.00011876405,0.0000019827753,0.00006273219,0.23975275,0.000021252903,0.0004068218,0.6612255,0.0002852862],"about_ca_topic_score_codex":0.00038530436,"about_ca_topic_score_gemma":0.00426602,"teacher_disagreement_score":0.66727144,"about_ca_system_score_codex":0.000035848916,"about_ca_system_score_gemma":0.000018501638,"threshold_uncertainty_score":0.81989115},"labels":[],"label_agreement":null},{"id":"W2769424406","doi":"10.1109/jiot.2017.2778006","title":"OpenAMI: Software-Defined AMI Load Balancing","year":2017,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Load balancing (electrical power); Cloud computing; Computer network; Distributed computing; Software; Real-time computing; Grid; Operating system","score_opus":0.010947039302797796,"score_gpt":0.23271392744312644,"score_spread":0.22176688814032863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769424406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95949656,0.00046006372,0.028260369,0.00014472847,0.0059746527,0.00005975755,0.0000020213347,0.00010464574,0.0054971776],"genre_scores_gemma":[0.9961022,0.000131395,0.0027259362,0.000078353645,0.00036861125,0.0000011354116,2.6815843e-7,0.00002405291,0.0005680161],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988861,0.000016364895,0.0003539352,0.00011877022,0.00034885053,0.00027599628],"domain_scores_gemma":[0.9991808,0.000052461568,0.00021814363,0.0003148749,0.00011163602,0.000122070305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044114632,0.00014988138,0.00024624073,0.00007007547,0.00017113613,0.0003028599,0.0009947711,0.000095061674,0.00010095008],"category_scores_gemma":[0.00031255485,0.00013017276,0.0001314651,0.000026732076,0.000104248546,0.0007733557,0.00008334594,0.00056858006,0.00005874841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006129604,0.00050453865,0.12505114,0.0016592197,0.0019946084,0.002352298,0.048677746,0.057244744,0.33814317,0.0014901723,0.30765107,0.11461833],"study_design_scores_gemma":[0.005961844,0.00081857515,0.07325334,0.0063864924,0.00023940257,0.0059472276,0.0005529423,0.25157773,0.5886111,0.007529037,0.056501742,0.0026205601],"about_ca_topic_score_codex":0.00016869097,"about_ca_topic_score_gemma":0.000021853197,"teacher_disagreement_score":0.25114933,"about_ca_system_score_codex":0.00010302336,"about_ca_system_score_gemma":0.000042072737,"threshold_uncertainty_score":0.53082913},"labels":[],"label_agreement":null},{"id":"W2771358433","doi":"10.1109/globalsip.2017.8309129","title":"Delay aware measurements gathering in WAMS communication network","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Phasor; Software deployment; Computer science; Units of measurement; Smart grid; Grid; System of measurement; Routing (electronic design automation); End-to-end delay; Network delay; Real-time computing; Computer network; Electrical engineering; Engineering; Electric power system","score_opus":0.0346743854536043,"score_gpt":0.2512450022822922,"score_spread":0.2165706168286879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771358433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94357103,0.0007376624,0.0031214464,0.0001242642,0.0004999818,0.00013401419,4.54491e-7,0.00018031186,0.05163084],"genre_scores_gemma":[0.99911183,0.00015136893,0.00057818415,0.00001924879,0.00005410971,0.000007732453,0.0000012776455,0.000008590567,0.0000676619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995947,0.000012575708,0.00009504566,0.000063039326,0.00008420053,0.00015047722],"domain_scores_gemma":[0.99946284,0.000012388196,0.000016057586,0.00046991912,0.000011525011,0.000027244643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018447849,0.00005829602,0.00006668501,0.00001432235,0.00017395776,0.00005255892,0.0003415735,0.00004242159,0.00003274656],"category_scores_gemma":[0.000014304823,0.000054409855,0.00001647179,0.0000289806,0.000024873827,0.00015766043,0.00005695353,0.0001068553,0.000032485255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009222552,0.000042868796,0.4211678,0.00006974433,0.000039815346,0.000009610933,0.0013638585,0.55984974,0.0011642692,0.0008716744,0.0039412156,0.011470169],"study_design_scores_gemma":[0.00091263116,0.000020869415,0.5315522,0.00044504087,0.0000102174745,0.000008180676,0.00021686054,0.44626486,0.004566468,0.0011301385,0.014304938,0.00056761183],"about_ca_topic_score_codex":0.00008944387,"about_ca_topic_score_gemma":0.0014845404,"teacher_disagreement_score":0.113584906,"about_ca_system_score_codex":0.000029864026,"about_ca_system_score_gemma":0.0000037675893,"threshold_uncertainty_score":0.22187695},"labels":[],"label_agreement":null},{"id":"W2772778236","doi":"10.1007/978-1-4842-3048-0_13","title":"Industrial Control Systems (ICS)","year":2017,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Ontario Academic Medicine Association","funders":"","keywords":"Control (management); Industrial control system; Visibility; Engineering; Control system; Manufacturing engineering; Systems engineering; Business; Risk analysis (engineering); Computer science; Electrical engineering","score_opus":0.033270852736511106,"score_gpt":0.2035127537594002,"score_spread":0.1702419010228891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772778236","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008816549,0.0017626642,0.00025488104,0.000005865405,0.0060174745,0.00049316615,0.00013804369,0.00031755582,0.9909222],"genre_scores_gemma":[0.26073593,0.000085989406,0.00000460262,0.000025025423,0.0038136798,0.00004644361,0.000016123304,0.00012839811,0.73514384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998834,0.000011098035,0.0003017481,0.00026775236,0.00028888253,0.00029648573],"domain_scores_gemma":[0.9989947,0.000076779565,0.00011997519,0.000634667,0.000042501222,0.00013136797],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011268265,0.00036368036,0.0005005684,0.00008533741,0.00015389803,0.00016250504,0.00050912634,0.0008563893,0.000039800245],"category_scores_gemma":[0.000012462718,0.00035014783,0.0001462183,0.0000014770583,0.00015459154,0.00004771223,0.00005844459,0.00079171377,0.00018954794],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024917457,0.00003157908,0.000050826482,0.0021875089,0.0031532035,0.0011477619,0.001449985,0.020881513,0.0018922675,0.7039867,0.20954607,0.055423405],"study_design_scores_gemma":[0.0007427747,0.000024678577,0.0000021749943,0.00054445973,0.00010225656,0.000020470261,0.0000034327056,0.0027697147,0.00018075794,0.000844302,0.9942558,0.0005092126],"about_ca_topic_score_codex":0.000039349874,"about_ca_topic_score_gemma":0.000014805385,"teacher_disagreement_score":0.7847097,"about_ca_system_score_codex":0.00004602934,"about_ca_system_score_gemma":0.00004154024,"threshold_uncertainty_score":0.99989504},"labels":[],"label_agreement":null},{"id":"W2777956520","doi":"10.1109/tsg.2017.2784366","title":"Financially Motivated FDI on SCED in Real-Time Electricity Markets: Attacks and Mitigation","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Economic dispatch; Incentive; Generator (circuit theory); Computer science; Electricity; Electric power system; Computer security; Power (physics); Operations research; Economics; Engineering; Microeconomics","score_opus":0.00875999740409354,"score_gpt":0.22510204517457855,"score_spread":0.21634204777048502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777956520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860901,0.000017405593,0.008882964,0.00014997598,0.0011256074,0.00027706593,0.00004019093,0.00021554272,0.003201112],"genre_scores_gemma":[0.99907166,0.00037439563,0.000093443436,0.00004063546,0.00011009623,0.000032216267,0.000004826281,0.000026929398,0.0002457879],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99893314,0.00004844287,0.000235578,0.0002827418,0.00018983052,0.00031025388],"domain_scores_gemma":[0.9993237,0.00011900139,0.000046617002,0.0003860163,0.000032707194,0.00009195914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019775874,0.00020413625,0.00021825223,0.00020138038,0.00040142715,0.00008329542,0.0001879212,0.0001704691,0.000049094553],"category_scores_gemma":[0.000025154533,0.00020967616,0.00006106506,0.00016902105,0.000092592454,0.00026750937,0.0000014150578,0.00039053825,0.00008081701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025171745,0.0021287014,0.012751239,0.00075735507,0.0004264143,0.0003618852,0.003016181,0.3459526,0.5149038,0.00058401603,0.014921049,0.10167963],"study_design_scores_gemma":[0.0028903633,0.00046627774,0.46622682,0.00054322835,0.00005763896,0.000030947136,0.000029819317,0.119775124,0.4063825,0.0002601527,0.0022830411,0.0010541037],"about_ca_topic_score_codex":0.00012124542,"about_ca_topic_score_gemma":0.00032543443,"teacher_disagreement_score":0.45347556,"about_ca_system_score_codex":0.00010123046,"about_ca_system_score_gemma":0.00003216911,"threshold_uncertainty_score":0.8550346},"labels":[],"label_agreement":null},{"id":"W2782611461","doi":"10.1109/cdc.2017.8264281","title":"Stealthy deception attacks for cyber-physical systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Supervisor; Deception; Computer science; Computer security; Context (archaeology); Cyber-physical system; Class (philosophy); Supervisory control; State (computer science); Control (management); Artificial intelligence; Algorithm","score_opus":0.020064074463354557,"score_gpt":0.28418548638179564,"score_spread":0.2641214119184411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782611461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494403,0.00012867374,0.027828278,0.00021458323,0.0026467373,0.00040215586,0.0000118457,0.00032253948,0.019004907],"genre_scores_gemma":[0.99881357,0.000021032767,0.00013607694,0.000014965708,0.00059355656,0.000034147153,0.0000029649102,0.000011102255,0.0003725937],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959004,0.0000047631042,0.000076736564,0.00009334152,0.00007536853,0.0001597688],"domain_scores_gemma":[0.9996151,0.000036317186,0.000018542902,0.00026255235,0.000012527206,0.00005500027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063448184,0.000067431705,0.000098051154,0.000015682495,0.0002091713,0.00009115094,0.00016355983,0.000047778805,0.0000059795198],"category_scores_gemma":[0.000019886116,0.00005613857,0.000043114185,0.00001208722,0.000029710853,0.0001452794,0.00001648734,0.00005749933,0.00006275576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017617771,0.000522521,0.015320155,0.003999883,0.0003739049,0.000024293504,0.0072302106,0.2452248,0.048540384,0.21561158,0.38207614,0.080899954],"study_design_scores_gemma":[0.0007047512,0.00011370376,0.02195985,0.0000679614,0.000019646874,0.000007800436,0.00027647527,0.86828184,0.0043788827,0.00039309912,0.1034212,0.00037481496],"about_ca_topic_score_codex":0.000027288388,"about_ca_topic_score_gemma":0.000032967328,"teacher_disagreement_score":0.623057,"about_ca_system_score_codex":0.000021223794,"about_ca_system_score_gemma":0.0000055794612,"threshold_uncertainty_score":0.22892645},"labels":[],"label_agreement":null},{"id":"W2783225226","doi":"10.1109/glocom.2017.8254498","title":"HMM-Based Fast Detection of False Data Injections in Advanced Metering Infrastructure","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Metering mode; Hidden Markov model; Artificial intelligence; Engineering","score_opus":0.014674156607363589,"score_gpt":0.2528345780842201,"score_spread":0.2381604214768565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783225226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514884,0.000049883798,0.046558842,0.000014485358,0.00059162686,0.00008533089,0.000019311465,0.000086970795,0.0011051947],"genre_scores_gemma":[0.998075,0.000021034508,0.0018314457,0.000005547996,0.00003597642,0.0000044853477,0.0000057566167,0.000008748915,0.000012024215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995243,0.0000077080385,0.00013960036,0.00013382609,0.000075900476,0.00011864046],"domain_scores_gemma":[0.99920803,0.000021439366,0.000033673186,0.0006941801,0.000014786512,0.000027904263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007166185,0.00007664141,0.00010615079,0.00009174619,0.000094675066,0.000028245191,0.00037216005,0.00005842967,0.00002050326],"category_scores_gemma":[0.00008623338,0.0000720109,0.000017945931,0.00007957885,0.000043016207,0.0003792079,0.00008591715,0.00013609731,0.0000028545571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022293123,0.0000211604,0.0068562687,0.00013468457,0.000016944416,0.0000042236616,0.00020570694,0.5553665,0.38450414,0.000041524552,0.000052521595,0.052774],"study_design_scores_gemma":[0.0006771569,0.00004728494,0.1981088,0.00008556826,0.000010189234,0.000006145824,0.00021683915,0.52750057,0.27110744,0.0001613156,0.0018390752,0.00023957355],"about_ca_topic_score_codex":0.00011859674,"about_ca_topic_score_gemma":0.0020715771,"teacher_disagreement_score":0.19125254,"about_ca_system_score_codex":0.00002293746,"about_ca_system_score_gemma":0.000010588135,"threshold_uncertainty_score":0.29365194},"labels":[],"label_agreement":null},{"id":"W2785342816","doi":"10.1155/2018/1240149","title":"Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems","year":2018,"lang":"en","type":"article","venue":"Complexity","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Isolation (microbiology); Sensor fusion; Filter (signal processing); Fuzzy logic; Data mining; Gaussian; Real-time computing; Artificial intelligence; Computer vision","score_opus":0.04362535177130363,"score_gpt":0.28464256519671555,"score_spread":0.2410172134254119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785342816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45348296,0.000060261696,0.5441919,0.000023993687,0.00153031,0.000273682,0.000016034937,0.00024508103,0.00017575793],"genre_scores_gemma":[0.9915524,0.0000044507397,0.0066185095,0.000021669492,0.0017151134,0.00003657365,0.000010823165,0.000021841473,0.000018603569],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992461,0.000027464852,0.00016771774,0.00019458009,0.00012975417,0.00023436523],"domain_scores_gemma":[0.99945253,0.00011546839,0.000031669493,0.00022514243,0.000096842945,0.000078345445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007719672,0.00013167005,0.00016132595,0.00003943775,0.00025783075,0.000040614384,0.00011741338,0.00014706161,0.000026907208],"category_scores_gemma":[0.00005438235,0.00012697556,0.0000700882,0.00016038757,0.00013106232,0.000096888434,0.000028169774,0.00017509596,0.00012368178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013351913,0.0012699292,0.005298936,0.0043551195,0.00067169225,0.000026009586,0.025748435,0.17166784,0.56690836,0.12919061,0.030341174,0.063186705],"study_design_scores_gemma":[0.00021160969,0.000093766546,0.0052172192,0.000059531747,0.000008739671,0.000008126418,0.00004873988,0.97567165,0.0055402988,0.0043248036,0.008622546,0.00019294041],"about_ca_topic_score_codex":0.00002576418,"about_ca_topic_score_gemma":0.00010070383,"teacher_disagreement_score":0.80400383,"about_ca_system_score_codex":0.00005831422,"about_ca_system_score_gemma":0.0000056924414,"threshold_uncertainty_score":0.5177913},"labels":[],"label_agreement":null},{"id":"W2785504727","doi":"10.1109/epec.2017.8286243","title":"Detecting a distributed denial of service attack using a pre-processed convolutional neural network","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"U.S. Department of Homeland Security; National Science Foundation","keywords":"Denial-of-service attack; Computer science; Convolutional neural network; Artificial intelligence; Wavelet; Scheme (mathematics); Pattern recognition (psychology); Wavelet transform; Data mining; The Internet","score_opus":0.027151746328953296,"score_gpt":0.266564426804573,"score_spread":0.2394126804756197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785504727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98629385,0.00010783149,0.012583577,0.000049819435,0.00051894126,0.00008871158,0.000012911148,0.00011071611,0.00023365521],"genre_scores_gemma":[0.99846613,0.0000028711422,0.0011164164,0.000027058048,0.0003590449,0.0000029866746,0.0000057588904,0.000011424763,0.0000083032155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928063,0.00001128289,0.0001856736,0.0001238709,0.00014193781,0.00025658868],"domain_scores_gemma":[0.9995019,0.000049926282,0.00007103967,0.00023001341,0.00008893189,0.00005821287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009059668,0.00010706673,0.00014792319,0.000017600905,0.0003230529,0.00006834293,0.00028249886,0.000076074546,0.00003136002],"category_scores_gemma":[0.00006616607,0.0001011551,0.000041975753,0.000108251246,0.0000593194,0.0002829871,0.000079104604,0.00013348891,0.0000038588646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032237538,0.000011733855,0.010023666,0.00019800231,0.000030396177,0.000004049756,0.00018381907,0.97735155,0.011798167,0.00006524354,0.00012741616,0.00017374441],"study_design_scores_gemma":[0.000278249,0.000010709308,0.044605047,0.00005781793,0.0000144487,0.000016754117,0.00003851886,0.9504842,0.004238958,0.000045063032,0.00008275762,0.0001274547],"about_ca_topic_score_codex":0.00017825533,"about_ca_topic_score_gemma":0.00046223865,"teacher_disagreement_score":0.03458138,"about_ca_system_score_codex":0.000025905407,"about_ca_system_score_gemma":0.000028238097,"threshold_uncertainty_score":0.41249853},"labels":[],"label_agreement":null},{"id":"W2785584478","doi":"10.1109/epec.2017.8286172","title":"A low power cybersecurity mechanism for WSNs in a smart grid environment","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Power grid; Smart grid; Computer science; Computer security; Mechanism (biology); Power (physics); Embedded system; Distributed computing; Electrical engineering; Engineering; Physics","score_opus":0.007686090591517656,"score_gpt":0.20496461243930025,"score_spread":0.1972785218477826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785584478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544387,0.000075230826,0.019149298,0.00079369755,0.0023617542,0.0007292461,0.000042676053,0.00020509411,0.022204332],"genre_scores_gemma":[0.99826777,0.000078680765,0.0011546817,0.00008316771,0.00009611324,0.00006395245,0.0000028916375,0.000015958965,0.0002368095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992936,0.000006204669,0.00014106276,0.00017404667,0.00010900257,0.0002760679],"domain_scores_gemma":[0.9994696,0.000026019823,0.00002180852,0.00040519852,0.000006915872,0.00007046712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013265354,0.000119525466,0.00013301003,0.000041020317,0.00013332239,0.00005103252,0.00026020422,0.00008928895,0.00016814756],"category_scores_gemma":[0.00003440819,0.00011026127,0.00006341708,0.000015076603,0.000043969594,0.00015525309,0.000057706275,0.000115335126,0.00008476412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035577227,0.0024750738,0.019666871,0.0014787905,0.00052618346,0.00045369795,0.025784146,0.022474894,0.10746022,0.7123891,0.09752851,0.009406716],"study_design_scores_gemma":[0.008155492,0.0006676179,0.09771155,0.00039244065,0.000071416114,0.00005493197,0.0016353754,0.27164072,0.36841273,0.057033658,0.19088356,0.0033405027],"about_ca_topic_score_codex":0.000059206974,"about_ca_topic_score_gemma":0.0003584039,"teacher_disagreement_score":0.65535545,"about_ca_system_score_codex":0.000050028382,"about_ca_system_score_gemma":0.0000070559004,"threshold_uncertainty_score":0.44963244},"labels":[],"label_agreement":null},{"id":"W2786236901","doi":"10.1109/epec.2017.8286194","title":"Detection of false data injection in automatic generation control systems using Kalman filter","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Waterloo","funders":"","keywords":"Automatic Generation Control; Electric power system; Kalman filter; Computer science; Frequency deviation; Automatic frequency control; Smart grid; Control system; Filter (signal processing); Real-time computing; Power (physics); Engineering; Telecommunications; Artificial intelligence; Electrical engineering","score_opus":0.04232302361222571,"score_gpt":0.2616661199975811,"score_spread":0.2193430963853554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786236901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91659606,0.00011106566,0.08206199,0.0000045812035,0.0008523279,0.00014880177,0.0000060891534,0.000057126872,0.00016193558],"genre_scores_gemma":[0.9996591,0.0000087356,0.00014114377,0.0000028339193,0.00016118957,0.000004323755,0.000004461229,0.0000067898413,0.000011378242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995145,0.000023791035,0.00018634682,0.00010324011,0.000084711755,0.00008736441],"domain_scores_gemma":[0.9995086,0.0000140168595,0.000051937026,0.0003908616,0.000017640177,0.00001694587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020018368,0.000059278518,0.000108004555,0.00007300863,0.00008705114,0.000059095077,0.00017004686,0.00005919219,0.0000057968286],"category_scores_gemma":[0.000048811293,0.000054429238,0.000011722743,0.000037668964,0.000019687104,0.00047181064,0.000026437368,0.00006144226,0.0000038337407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003961849,0.000017190227,0.002481829,0.00017105289,0.000018782723,0.000001971225,0.00016577424,0.52492386,0.46885854,0.000048987848,0.000071793496,0.0032362635],"study_design_scores_gemma":[0.00024736507,0.000012489562,0.007988686,0.000038882845,0.00000794388,0.0000086466325,0.000037087826,0.9799423,0.011613755,0.000004986058,0.00003616672,0.00006164604],"about_ca_topic_score_codex":0.00079404295,"about_ca_topic_score_gemma":0.0012440049,"teacher_disagreement_score":0.45724478,"about_ca_system_score_codex":0.00003599288,"about_ca_system_score_gemma":0.000006770319,"threshold_uncertainty_score":0.221956},"labels":[],"label_agreement":null},{"id":"W2786456277","doi":"10.1109/tii.2018.2799594","title":"Time-Delay Analysis of Wide-Area Voltage Control Considering Smart Grid Contingences in a Real-Time Environment","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Testbed; Real Time Digital Simulator; Smart grid; Phasor; Grid; Controller (irrigation); Computer science; Electric power system; Phasor measurement unit; Transmission (telecommunications); Real-time computing; Embedded system; Engineering; Power (physics); Electrical engineering; Telecommunications; Computer network","score_opus":0.019147256163090962,"score_gpt":0.2134247658314333,"score_spread":0.19427750966834234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786456277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8607496,0.000010964335,0.13587756,0.00002213199,0.0008173271,0.00041355647,0.00021198993,0.00014321084,0.0017536546],"genre_scores_gemma":[0.99943393,0.000074026924,0.00028547467,0.000033962508,0.00006342814,0.000023091268,0.000008118225,0.00001355276,0.000064424574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983627,0.000036491707,0.00089612097,0.00010810526,0.00029304525,0.00030354384],"domain_scores_gemma":[0.99910975,0.00034333442,0.00014068186,0.00027252527,0.00003687372,0.00009681647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037847846,0.00020698234,0.0005005574,0.0005671741,0.00010273812,0.000037975,0.00017543876,0.00024394046,0.0005938996],"category_scores_gemma":[0.000022813927,0.00020168259,0.0001593825,0.0006968546,0.0002627527,0.00029705517,0.0000020108805,0.00035489886,0.00013377433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086978594,0.000081415514,0.00049402437,0.0000236436,0.00071441854,0.0000034372792,0.0032360747,0.99142426,0.0020288185,0.0000052221853,0.0005988463,0.0013028864],"study_design_scores_gemma":[0.0014234355,0.0002174998,0.00016031742,0.00009677857,0.00052415224,0.0000033936951,0.0006229997,0.97443974,0.020619508,0.0000054794364,0.0015745382,0.00031213442],"about_ca_topic_score_codex":0.000119898155,"about_ca_topic_score_gemma":0.00008211945,"teacher_disagreement_score":0.13868432,"about_ca_system_score_codex":0.00009766592,"about_ca_system_score_gemma":0.000040836294,"threshold_uncertainty_score":0.82243776},"labels":[],"label_agreement":null},{"id":"W2788407677","doi":"10.1109/tcomm.2018.2858263","title":"Cost-Efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metering mode; Computer science; Quality of service; Point (geometry); Data quality; Computer security; Computer network; Business; Engineering; Service (business)","score_opus":0.05600881956924331,"score_gpt":0.3166498761207665,"score_spread":0.2606410565515232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788407677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008348332,0.0001469474,0.98781496,0.00046789576,0.0015296156,0.0006744893,0.00046882534,0.0002565685,0.00029238252],"genre_scores_gemma":[0.98130625,0.00026894893,0.017775271,0.00013179715,0.00012591504,0.00022897978,0.00010562901,0.000029197772,0.000028000384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991475,0.000036289588,0.00026523828,0.00019892295,0.00013978693,0.0002122835],"domain_scores_gemma":[0.9974775,0.0002003942,0.000042169202,0.0020795187,0.00012250217,0.00007793733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015773055,0.00015257375,0.00013622218,0.00012618091,0.00046589746,0.00004700787,0.0010760382,0.00007804025,0.00007080339],"category_scores_gemma":[0.000007256772,0.00015512962,0.000059722082,0.00023812252,0.00012474526,0.00023199533,0.00001531305,0.00023255487,0.000042092284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006795533,0.00017003468,8.9143975e-7,0.000043574062,0.000089879904,4.195533e-7,0.0013224923,0.9690672,0.0072210752,0.00009268943,0.0030142188,0.018909583],"study_design_scores_gemma":[0.00088492624,0.00018936538,0.000066725275,0.00010932076,0.00008581286,0.000011396788,0.0008800647,0.92088366,0.023225842,0.00006892646,0.053276822,0.00031715046],"about_ca_topic_score_codex":0.0000041909834,"about_ca_topic_score_gemma":0.00011386045,"teacher_disagreement_score":0.9729579,"about_ca_system_score_codex":0.00014526161,"about_ca_system_score_gemma":0.000028295912,"threshold_uncertainty_score":0.63260025},"labels":[],"label_agreement":null},{"id":"W2788748907","doi":"10.1109/tsg.2018.2809958","title":"Enhancing WAMS Communication Network Against Delay Attacks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Software deployment; Smart grid; Electric power system; Grid; Units of measurement; Computer science; System of measurement; Transmission (telecommunications); Transmission delay; Real-time computing; Engineering; Electronic engineering; Electrical engineering; Power (physics); Telecommunications","score_opus":0.010260335709829774,"score_gpt":0.22530536657656122,"score_spread":0.21504503086673143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788748907","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2164484,0.00031146195,0.7691901,0.00016613163,0.006955706,0.00023524938,0.000015405254,0.0007295121,0.0059480807],"genre_scores_gemma":[0.9954061,0.00042036676,0.0022691078,0.0002777175,0.0011284868,0.000024754083,0.000008019111,0.000041232623,0.00042421537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889547,0.000047697926,0.00028058636,0.00020705014,0.00019101061,0.00037819476],"domain_scores_gemma":[0.99909973,0.000110009,0.000028983799,0.00055639126,0.00005367327,0.00015121093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001828378,0.00019565373,0.0001720097,0.000087047396,0.00045470096,0.000047684374,0.00028338283,0.00014430178,0.00016399076],"category_scores_gemma":[0.000003194565,0.00020023648,0.00010070985,0.00036611056,0.000118787044,0.00021256317,0.000001954756,0.0004200702,0.00064242486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078361925,0.0001443857,0.0001322019,0.000058632315,0.00018647657,0.000009577131,0.0037150022,0.9223941,0.011144458,0.00008007445,0.03602907,0.026027674],"study_design_scores_gemma":[0.0015538456,0.00043750048,0.001171047,0.0006379269,0.00013598915,0.00006971615,0.000333569,0.18089543,0.5083253,0.00028513672,0.30458418,0.00157041],"about_ca_topic_score_codex":0.000037246307,"about_ca_topic_score_gemma":0.0011616688,"teacher_disagreement_score":0.7789577,"about_ca_system_score_codex":0.00010424096,"about_ca_system_score_gemma":0.000047262914,"threshold_uncertainty_score":0.8257286},"labels":[],"label_agreement":null},{"id":"W2789626949","doi":"10.1109/tsipn.2018.2801659","title":"Guest Editorial Distributed Signal Processing for Security and Privacy in Networked Cyber-Physical Systems","year":2018,"lang":"en","type":"editorial","venue":"IEEE Transactions on Signal and Information Processing over Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Key (lock); Reliability (semiconductor); Wireless sensor network; Computer security; Distributed computing; Aerospace; Process (computing); Computer network; Engineering; Power (physics)","score_opus":0.004607394109169381,"score_gpt":0.2183679451030099,"score_spread":0.2137605509938405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789626949","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012915246,0.0006026936,0.4269022,0.000008177082,0.5698711,0.00066975015,0.00033853497,0.00025052537,0.00006548265],"genre_scores_gemma":[0.3894338,0.0002849659,0.000033764194,0.000013394698,0.6096538,0.00018472597,0.0003458696,0.000040755833,0.000008964801],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976125,0.0000480265,0.00077081635,0.00036214167,0.00064776913,0.0005587706],"domain_scores_gemma":[0.99866146,0.00039759473,0.0002533162,0.00014095259,0.000360721,0.00018593391],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004076726,0.0005330311,0.0006121132,0.00024186111,0.00050629565,0.00076489797,0.00021389451,0.0011112058,0.000004523071],"category_scores_gemma":[0.000015266367,0.0005045858,0.00009489013,0.0004482983,0.00020538647,0.0025681064,0.000006614955,0.0014204686,0.000002812613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048060433,0.00009963494,0.0000032704243,0.0022766695,0.00006208263,0.000001305506,0.0022596912,0.4167168,0.000006500597,0.0000046308564,0.56405735,0.014031425],"study_design_scores_gemma":[0.0009711467,0.00014978282,0.000004324744,0.0009797459,0.00007085347,0.000002828707,0.000077535435,0.6873668,0.00003330125,0.00003803165,0.30985817,0.0004474954],"about_ca_topic_score_codex":0.000027057602,"about_ca_topic_score_gemma":0.000014942271,"teacher_disagreement_score":0.42686844,"about_ca_system_score_codex":0.00016368862,"about_ca_system_score_gemma":0.00018794845,"threshold_uncertainty_score":0.9997406},"labels":[],"label_agreement":null},{"id":"W2791287955","doi":"10.1109/tii.2018.2819169","title":"Integrating Renewable Energy Resources Into the Smart Grid: Recent Developments in Information and Communication Technologies","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":417,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Renewable energy; Electricity; Environmental economics; Demand response; Grid; Fossil fuel; Electricity generation; Greenhouse gas; Business; Distributed generation; Computer science; Telecommunications; Engineering; Power (physics); Electrical engineering; Economics; Ecology; Geography; Waste management","score_opus":0.017945584518881917,"score_gpt":0.2159411898827294,"score_spread":0.19799560536384747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791287955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66624534,0.00037383047,0.3051414,0.0016007809,0.0046840347,0.0010780685,0.00003684901,0.0015068123,0.019332897],"genre_scores_gemma":[0.9959329,0.0016702723,0.0021518639,0.00010953098,0.000039927152,0.000058455877,0.000008756537,0.0000074440077,0.000020869154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904996,0.000032354717,0.0005301281,0.000045797104,0.00016619837,0.00017553999],"domain_scores_gemma":[0.9994666,0.000119348275,0.00008079267,0.00024340104,0.000062130384,0.000027749902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032211782,0.00013062001,0.00011820394,0.0002565507,0.00035493652,0.00012260705,0.00025862193,0.00022261124,0.0000079278725],"category_scores_gemma":[0.00004182593,0.00009949555,0.000014983339,0.00055933796,0.00019244656,0.00078108325,0.000007069108,0.0004419731,0.000011738002],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009361642,0.000047533387,0.00018109115,0.00005967172,0.000068364556,3.1333906e-7,0.07099309,0.107559755,0.00011706187,0.00028339686,0.0050703012,0.8155258],"study_design_scores_gemma":[0.0017527813,0.00029745957,0.00012576954,0.0006104413,0.000032180054,0.000018652916,0.05723315,0.18163505,0.09317578,0.00064177945,0.6638278,0.0006491559],"about_ca_topic_score_codex":0.00063741877,"about_ca_topic_score_gemma":0.0022286302,"teacher_disagreement_score":0.8148767,"about_ca_system_score_codex":0.00011658225,"about_ca_system_score_gemma":0.000039504015,"threshold_uncertainty_score":0.40573108},"labels":[],"label_agreement":null},{"id":"W2792232939","doi":"10.1109/globalsip.2017.8309131","title":"IEC-61850 GOOSE traffic modeling and generation","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Goose; IEC 61850; Computer science; Engineering; Biology; Ecology; Automation; Mechanical engineering","score_opus":0.024508155294828405,"score_gpt":0.22617683785539347,"score_spread":0.20166868256056505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792232939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853014,0.00025805522,0.010191306,0.00007303357,0.0003159991,0.00003589499,5.3688217e-7,0.00010036384,0.0037234616],"genre_scores_gemma":[0.99887615,0.00018315093,0.000592636,0.00001618752,0.00020101314,0.0000020980704,0.0000011928335,0.000005878098,0.000121673016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997374,0.0000025437814,0.000055993114,0.000074258656,0.000045666253,0.00008415291],"domain_scores_gemma":[0.9997999,0.0000035926842,0.0000057748407,0.00014847616,0.000007710576,0.000034530894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044980694,0.00004838928,0.000046777554,0.000015285066,0.00018879276,0.00009904111,0.00007006621,0.000036501788,0.00001220505],"category_scores_gemma":[0.000010079992,0.000042329146,0.000011238142,0.000008320515,0.000018552246,0.00017115787,0.0000144448195,0.000049329294,0.000013843708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.298555e-7,0.00000510707,0.00010855881,0.000016441478,0.000005838511,0.000002418157,0.00034144768,0.98156816,0.006008968,0.0006914148,0.0005979986,0.010652693],"study_design_scores_gemma":[0.00007824761,0.0000042036318,0.00022897033,0.0000041617036,0.000002352206,0.0000030958906,0.000019737528,0.99768436,0.0014779335,0.000029073457,0.00040279565,0.00006506169],"about_ca_topic_score_codex":0.000008555152,"about_ca_topic_score_gemma":0.00009909075,"teacher_disagreement_score":0.016116183,"about_ca_system_score_codex":0.0000054799298,"about_ca_system_score_gemma":0.0000029690802,"threshold_uncertainty_score":0.17261325},"labels":[],"label_agreement":null},{"id":"W2792818654","doi":"10.1109/tsg.2018.2813280","title":"False Data Injection Attacks Against State Estimation in Power Distribution Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"State (computer science); Electric power system; Estimation; Computer science; Distribution (mathematics); Power (physics); Reliability engineering; Transmission (telecommunications); Mathematical optimization; Engineering; Algorithm; Mathematics; Telecommunications","score_opus":0.017120573708235765,"score_gpt":0.24961935335498656,"score_spread":0.23249877964675078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792818654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37598887,0.0000549811,0.616389,0.000029561419,0.006225595,0.00025080153,0.0005381414,0.00028470738,0.00023838978],"genre_scores_gemma":[0.999331,0.00010632475,0.00008688161,0.00002465636,0.0001350145,0.000036011472,0.00020221996,0.000025983083,0.000051888266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871385,0.000059126716,0.00034973997,0.00032886426,0.00024403141,0.00030437263],"domain_scores_gemma":[0.99918455,0.00005742852,0.000037724443,0.00057427195,0.00006040032,0.00008563544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002785387,0.00019182776,0.00017617358,0.00017307265,0.00018481507,0.00007669007,0.0002413715,0.0001243334,0.000020903872],"category_scores_gemma":[0.000010013748,0.00019758975,0.00003934116,0.0004942528,0.00009008088,0.00060402456,0.00000281729,0.00032929057,0.0002507662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055037202,0.00012032876,0.00014284684,0.000058453636,0.000034340275,0.000007334882,0.0004474257,0.98931396,0.0011954067,0.000010937491,0.0034674832,0.0051464406],"study_design_scores_gemma":[0.0005273243,0.00016631189,0.0024609964,0.00015898365,0.000019313116,0.000024741024,0.00013167354,0.97739905,0.008889014,0.000015398677,0.009854641,0.00035254873],"about_ca_topic_score_codex":0.00014473803,"about_ca_topic_score_gemma":0.0006150534,"teacher_disagreement_score":0.62334216,"about_ca_system_score_codex":0.00019408399,"about_ca_system_score_gemma":0.000028856937,"threshold_uncertainty_score":0.8057476},"labels":[],"label_agreement":null},{"id":"W2793107922","doi":"10.1109/tpwrs.2018.2810161","title":"Attack Detection and Identification for Automatic Generation Control Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automatic Generation Control; Electric power system; Identification (biology); Residual; Computer science; Observer (physics); Function (biology); Real-time computing; Engineering; Reliability engineering; Power (physics); Control theory (sociology); Control (management); Algorithm; Artificial intelligence","score_opus":0.01528892193492103,"score_gpt":0.23270315413809237,"score_spread":0.21741423220317133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793107922","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16167806,0.00025381273,0.8276225,0.000011838306,0.009296728,0.00075021107,0.000038307655,0.00028200424,0.000066576504],"genre_scores_gemma":[0.99922234,0.000019178773,0.000026927812,0.00000941004,0.00014935814,0.00036846113,0.0000020716623,0.00002631819,0.00017591557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991056,0.00004907615,0.0003228055,0.00020208287,0.00014810063,0.00017235137],"domain_scores_gemma":[0.9995128,0.000064489104,0.000050371964,0.00020575266,0.000103648286,0.00006293158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023575549,0.00013589884,0.00016316165,0.00013389236,0.00026708472,0.0001526352,0.00006443398,0.00012429325,0.0000057855527],"category_scores_gemma":[0.0000043856903,0.00013249976,0.00004678051,0.00013018047,0.00004838584,0.00021110359,1.9713654e-7,0.00008425654,0.00005814015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004822791,0.00009942996,0.000011060502,0.0008530306,0.00025096035,0.0000013446939,0.0020288744,0.67508394,0.3165673,0.00016215783,0.0019090304,0.0029846614],"study_design_scores_gemma":[0.00042033967,0.00013868675,0.000076544486,0.0000562159,0.000039368417,0.000028113282,0.00014914664,0.9744427,0.022231285,0.000001592103,0.0022656173,0.00015038202],"about_ca_topic_score_codex":0.000026319682,"about_ca_topic_score_gemma":0.00006167418,"teacher_disagreement_score":0.83754426,"about_ca_system_score_codex":0.000078555815,"about_ca_system_score_gemma":0.0000090579215,"threshold_uncertainty_score":0.5403183},"labels":[],"label_agreement":null},{"id":"W2796970047","doi":"10.31130/jst.2016.21","title":"Quality-of-Service Differentiation for Smart Grid Neighbor Area Networks","year":2016,"lang":"en","type":"article","venue":"The University of Danang - Journal of Science and Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Quality of service; Smart grid; Computer network; Microgrid; Grid; Distributed computing; Control (management); Engineering","score_opus":0.011213743464649583,"score_gpt":0.19654004183794171,"score_spread":0.18532629837329212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796970047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627896,0.00023218093,0.034176398,0.0024682295,0.00021201506,0.000046115805,0.0000041753424,0.000012615209,0.000058688693],"genre_scores_gemma":[0.99932235,0.00032332644,0.00031472533,0.000010736549,0.000018225737,3.6895326e-8,1.0735291e-7,0.0000015359288,0.00000895391],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99958277,0.000008590309,0.000118449934,0.00005403653,0.00012785372,0.000108330445],"domain_scores_gemma":[0.9993921,0.00010013768,0.0001271668,0.00009891257,0.00025582736,0.000025837595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042115894,0.00004103036,0.00012353808,0.00019253744,0.0001349057,0.0000031685981,0.00041568218,0.000052898962,0.0000038079886],"category_scores_gemma":[0.00006845083,0.000025321599,0.000025630312,0.00042494634,0.0008133065,0.00018089364,0.000054192562,0.00007065184,2.2665402e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031298457,0.0001538509,0.04891487,0.00030470625,0.00022895163,0.00001075833,0.0039601503,0.0036264318,0.77034193,0.062285904,0.0030079111,0.106851555],"study_design_scores_gemma":[0.011374156,0.0026408487,0.46521384,0.0022309297,0.0005470541,0.00033595876,0.03517582,0.12238257,0.28236935,0.049513,0.026797412,0.0014190625],"about_ca_topic_score_codex":0.000012187067,"about_ca_topic_score_gemma":0.000052114174,"teacher_disagreement_score":0.4879726,"about_ca_system_score_codex":0.000022698738,"about_ca_system_score_gemma":0.000032350636,"threshold_uncertainty_score":0.29966617},"labels":[],"label_agreement":null},{"id":"W2798628810","doi":"10.1109/smartgridcomm.2017.8340727","title":"Measuring the security posture of IEC 61850 substations with redundancy against zero day attacks","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"IEC 61850; Redundancy (engineering); Computer science; Automation; Circuit breaker; Reliability engineering; Metric (unit); Computer security; Engineering; Electrical engineering","score_opus":0.014216068739450622,"score_gpt":0.2184106598071541,"score_spread":0.2041945910677035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798628810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95356864,0.00037118717,0.003061502,0.00041592118,0.0003991448,0.00019763061,0.000015890659,0.00013242717,0.041837636],"genre_scores_gemma":[0.99931824,0.00013018375,0.00025609782,0.000033450364,0.000074753596,0.000008323736,0.0000039842557,0.000016555838,0.00015842784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992702,0.000020846124,0.00015258834,0.00013529645,0.0002184945,0.00020255946],"domain_scores_gemma":[0.9991099,0.0000619585,0.000057808826,0.00063584436,0.00007792158,0.000056572604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017997026,0.00012634776,0.00013781457,0.000031190524,0.00045282848,0.00008321129,0.00045177247,0.00006410531,0.000019713356],"category_scores_gemma":[0.00006271169,0.000077385615,0.000046775356,0.00007341998,0.00019033802,0.00022999152,0.000045367586,0.00023335572,0.00001190709],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002868645,0.0008962304,0.26975712,0.0024316914,0.0016232847,0.0002754295,0.13773969,0.30584723,0.12598988,0.06787837,0.05996651,0.027307702],"study_design_scores_gemma":[0.0026642894,0.00023266413,0.7098353,0.0009444758,0.00018703974,0.0000705462,0.0038930941,0.06427348,0.1792878,0.0035655224,0.03328758,0.0017582175],"about_ca_topic_score_codex":0.000060521936,"about_ca_topic_score_gemma":0.00079728797,"teacher_disagreement_score":0.44007817,"about_ca_system_score_codex":0.00001845711,"about_ca_system_score_gemma":0.00002614283,"threshold_uncertainty_score":0.34828362},"labels":[],"label_agreement":null},{"id":"W2798681531","doi":"10.1109/cjece.2017.2776975","title":"Distributed Smart Home Architecture for Data Handling in Smart Grid","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Home automation; Computer science; Smart grid; Default gateway; Embedded system; Data processing; Architecture; Distributed computing; Automation; Residential gateway; Gateway (web page); Computer network; Database; Telecommunications; Engineering","score_opus":0.008898989051427943,"score_gpt":0.18640107564057137,"score_spread":0.17750208658914343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798681531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36041117,0.002080565,0.6357183,0.00014100317,0.0014683789,0.000095303454,0.000045885346,0.000028254726,0.000011138634],"genre_scores_gemma":[0.9939084,0.000037804406,0.0047563706,0.000045823977,0.0012141188,0.0000015049865,0.000017177314,0.00001710594,0.0000016646877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991615,0.000007781151,0.00024879392,0.00012815546,0.00007146111,0.00038235498],"domain_scores_gemma":[0.99932575,0.000116572446,0.000022975557,0.00013313135,0.000048554615,0.00035301433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016194247,0.000125241,0.00021079757,0.00028877147,0.000056730187,0.00006383842,0.00031119186,0.00007151621,0.0000027107865],"category_scores_gemma":[0.00005739861,0.000115537994,0.000035636178,0.0003049271,0.000031075167,0.000118819175,0.000020641572,0.0003049347,7.87097e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017601941,0.000098716104,0.044651873,0.00088111527,0.0006554332,0.0010888057,0.002852857,0.71355116,0.0033592584,0.0026858647,0.040675774,0.1893231],"study_design_scores_gemma":[0.0004165191,0.00017422756,0.011532965,0.000110741836,0.000012400792,0.00024077769,0.0000025049478,0.93972254,0.00023310135,0.00010491199,0.047250118,0.0001992098],"about_ca_topic_score_codex":0.0001241679,"about_ca_topic_score_gemma":0.0017945303,"teacher_disagreement_score":0.63349724,"about_ca_system_score_codex":0.00005973545,"about_ca_system_score_gemma":0.00009514,"threshold_uncertainty_score":0.47115025},"labels":[],"label_agreement":null},{"id":"W2799403227","doi":"10.1109/wf-iot.2018.8355193","title":"Test-based risk assessment and security certification proposal for the Internet of Things","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Certification; Scope (computer science); Computer science; Internet of Things; Risk assessment; Computer security; Work (physics); Risk analysis (engineering); Test (biology); Certified Information Systems Security Professional; Information security; Engineering; Security service; Business","score_opus":0.01035710724219909,"score_gpt":0.25285059175983743,"score_spread":0.24249348451763833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799403227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6626623,0.00014577908,0.3322014,0.0008480019,0.0005021381,0.0007361022,0.000016705857,0.00018767946,0.002699844],"genre_scores_gemma":[0.9940372,0.000017118218,0.0058011254,0.00003571383,0.00005431459,0.000020993715,0.00000194551,0.0000055766,0.0000260195],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999663,0.000009028116,0.00010237928,0.00007967989,0.00006880082,0.00007712634],"domain_scores_gemma":[0.99953717,0.00024655653,0.000024689221,0.00011740639,0.000055332257,0.000018847533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001784524,0.000051959047,0.000055266257,0.000017337865,0.000049191425,0.000020188389,0.000088397166,0.00003237808,0.000024219318],"category_scores_gemma":[0.00005235842,0.00003183125,0.000019223862,0.000046637328,0.00011030867,0.00007131796,0.000012947088,0.00006576134,0.000002007594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003840903,0.0013938943,0.3920451,0.0033230702,0.0006363905,0.0000022644658,0.051010594,0.005880673,0.15674506,0.15229908,0.10031774,0.13596205],"study_design_scores_gemma":[0.00015790621,0.000112790076,0.013208687,0.00001334352,0.000016450278,5.6702675e-7,0.00010540159,0.91265893,0.070382036,0.0015837699,0.0017020071,0.000058100984],"about_ca_topic_score_codex":0.00006792699,"about_ca_topic_score_gemma":0.000058926707,"teacher_disagreement_score":0.9067783,"about_ca_system_score_codex":0.000012344513,"about_ca_system_score_gemma":0.000021232132,"threshold_uncertainty_score":0.12980406},"labels":[],"label_agreement":null},{"id":"W2800842075","doi":"10.1109/tii.2018.2831198","title":"Development of a Cyber-Resilient Line Current Differential Relay","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ain Shams University","keywords":"Tripping; Relay; Line (geometry); Transmission line; Voltage; Fault (geology); Protective relay; Computer science; Sequence (biology); Electric power transmission; Terminal (telecommunication); Thévenin's theorem; Real-time computing; Differential (mechanical device); Electronic engineering; Electrical engineering; Engineering; Telecommunications; Circuit breaker; Equivalent circuit","score_opus":0.04125161497850021,"score_gpt":0.2575527728541464,"score_spread":0.2163011578756462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800842075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59836644,0.0000100870275,0.39650187,0.000008447216,0.0043644444,0.00019321979,0.000028583174,0.00011352491,0.00041336275],"genre_scores_gemma":[0.9976411,0.000034191202,0.001928901,0.000009186681,0.0003097845,0.000020230043,0.000005495285,0.000014269687,0.000036884063],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985837,0.000013629768,0.00075982854,0.000072687886,0.00032103498,0.00024915714],"domain_scores_gemma":[0.9994727,0.0000465707,0.00008273363,0.00021592814,0.00007264231,0.00010943823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114125825,0.000179449,0.00021010592,0.00019642603,0.00016329568,0.000024693358,0.00018557365,0.0001825375,0.00014049587],"category_scores_gemma":[0.000006790482,0.00016082861,0.0000793593,0.000292124,0.00011459469,0.00016717073,0.000002320602,0.00047050163,0.00012133438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037256788,0.00096482184,0.000026155441,0.00042012337,0.00038853387,0.0000014784729,0.038061786,0.330876,0.0046838974,0.00017889326,0.0047863447,0.6192394],"study_design_scores_gemma":[0.0022773393,0.00036197828,0.000054998483,0.00043957945,0.00008367604,0.000007464759,0.000818625,0.15056747,0.788843,0.000011387067,0.055966496,0.00056799647],"about_ca_topic_score_codex":0.0000032907287,"about_ca_topic_score_gemma":0.000026797225,"teacher_disagreement_score":0.78415906,"about_ca_system_score_codex":0.00008737544,"about_ca_system_score_gemma":0.00009437343,"threshold_uncertainty_score":0.65584004},"labels":[],"label_agreement":null},{"id":"W2804785295","doi":"10.1109/jstsp.2018.2840517","title":"Noncircular Attacks on Phasor Measurement Units for State Estimation in Smart Grid","year":2018,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phasor; Smart grid; Units of measurement; Computer science; State (computer science); Grid; Bhattacharyya distance; Data mining; Algorithm; Engineering; Artificial intelligence; Electric power system; Electrical engineering; Mathematics; Power (physics)","score_opus":0.032723440380816246,"score_gpt":0.26742591838358915,"score_spread":0.23470247800277289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804785295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86057526,0.00049294566,0.13786165,0.00007743087,0.0006545633,0.00017481283,0.0000020089253,0.00002612751,0.00013518753],"genre_scores_gemma":[0.99775803,0.000027137723,0.0016498842,0.00004274277,0.0004938432,0.0000049210166,0.0000010463291,0.000016944176,0.000005420985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987229,0.000036524016,0.00048461024,0.000108312284,0.0003907496,0.0002568924],"domain_scores_gemma":[0.99895114,0.000046195997,0.0001287475,0.00005537481,0.00076174457,0.00005681375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061190926,0.0001289138,0.00020725545,0.0002840714,0.00006784531,0.00005088393,0.00015181914,0.00007775878,0.0000046023856],"category_scores_gemma":[0.0001387313,0.000119670636,0.000027120248,0.00069579907,0.00003869929,0.0002716652,0.000004235097,0.00036811852,0.0000015741155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047309164,0.0003384177,0.003368056,0.0009008087,0.00008631844,0.00008949253,0.0065550064,0.7072823,0.14151996,0.000024753468,0.0011156771,0.1382461],"study_design_scores_gemma":[0.0025721607,0.00090409856,0.0074315,0.0022242537,0.000031979987,0.000064640844,0.00011499352,0.7275295,0.2554835,0.0012346345,0.0019882196,0.00042051356],"about_ca_topic_score_codex":0.0000036714928,"about_ca_topic_score_gemma":0.00007091994,"teacher_disagreement_score":0.1378256,"about_ca_system_score_codex":0.0002704405,"about_ca_system_score_gemma":0.00021807068,"threshold_uncertainty_score":0.4880027},"labels":[],"label_agreement":null},{"id":"W2807788428","doi":"10.1080/09720510.2019.1649038","title":"Detecting intrusions in control systems : A rule of thumb, its justification and illustrations","year":2020,"lang":"en","type":"preprint","venue":"Journal of Statistics and Management Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Rule of thumb; Intrusion detection system; Computer science; Rule-based system; Intrusion; Control (management); Data mining; Thumb; Computer security; Artificial intelligence; Algorithm; Geology","score_opus":0.018297647042017005,"score_gpt":0.23238376416613377,"score_spread":0.21408611712411676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807788428","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15433648,0.013347674,0.8242608,0.00019758454,0.0046472806,0.001714214,0.0006151983,0.000040594718,0.00084018643],"genre_scores_gemma":[0.9940008,0.0048443177,0.0009528169,0.0000034367617,0.00014417386,0.000017776056,0.000005444072,0.000012433565,0.000018785866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987492,0.00005743428,0.00075648254,0.00011911698,0.00020926064,0.00010852224],"domain_scores_gemma":[0.9992061,0.00011393704,0.00039912775,0.00009632382,0.00011078296,0.00007371083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004053319,0.00013187701,0.00039182018,0.00021147351,0.000046630845,0.00010113177,0.000110092005,0.00008688996,0.0000010608424],"category_scores_gemma":[0.0000548619,0.000121136225,0.000024629877,0.00008430279,0.000030887753,0.000056143403,0.00006869057,0.0003083904,4.7455993e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004026412,0.00006627592,0.0007071571,0.026999947,0.00060895487,0.000158183,0.0029674706,0.9039764,0.001742104,0.058263484,0.0016976374,0.0027721291],"study_design_scores_gemma":[0.0007497432,0.000072103816,0.0059976554,0.0024561936,0.00028142848,0.00004796208,0.003223339,0.98530024,0.00002079244,0.000570079,0.0010637615,0.00021669012],"about_ca_topic_score_codex":0.00003969167,"about_ca_topic_score_gemma":0.000018743816,"teacher_disagreement_score":0.83966434,"about_ca_system_score_codex":0.00004130219,"about_ca_system_score_gemma":0.000018679322,"threshold_uncertainty_score":0.4939792},"labels":[],"label_agreement":null},{"id":"W2809448755","doi":"","title":"Home gateway with automated real-time intrusion detection for secure home networks","year":2006,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Gateway (web page); Intrusion detection system; Computer security; Computer network; World Wide Web","score_opus":0.002730967077124882,"score_gpt":0.18755656303063922,"score_spread":0.18482559595351433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809448755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3813504,0.000063275205,0.6172346,0.000030954125,0.0006064091,0.00017134787,0.0000013436664,0.0005337137,0.000007994244],"genre_scores_gemma":[0.97145164,0.000014545719,0.02801864,0.00004099037,0.00043352018,0.000015591835,0.0000055749965,0.000018831019,6.529043e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869406,0.00001828649,0.00018458239,0.0003837085,0.00024418364,0.00047516293],"domain_scores_gemma":[0.9994282,0.00015935603,0.000035620877,0.0002455106,0.00006900802,0.000062267034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024774944,0.00018928545,0.0001809309,0.00021340817,0.00020492909,0.00013212713,0.00034266885,0.00012901486,0.000003977421],"category_scores_gemma":[0.000011335103,0.00014988707,0.00003184509,0.0012854114,0.00020484984,0.0002590944,0.000060053328,0.00020291495,0.000005000866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014635789,0.000013617624,0.0003151227,0.00002390061,0.000002132473,0.0000065288846,0.0001590037,0.96915954,0.013181191,0.000010311514,0.000024221126,0.01708982],"study_design_scores_gemma":[0.0002892546,0.00012891115,0.0076965746,0.000069167436,0.0000035355438,0.000033938162,3.7168385e-7,0.974223,0.01636954,0.00091253605,0.000032998923,0.00024012735],"about_ca_topic_score_codex":0.00005485301,"about_ca_topic_score_gemma":0.00024088359,"teacher_disagreement_score":0.59010124,"about_ca_system_score_codex":0.00011662418,"about_ca_system_score_gemma":0.000033865428,"threshold_uncertainty_score":0.61122173},"labels":[],"label_agreement":null},{"id":"W2878562610","doi":"10.1109/iccw.2018.8403559","title":"Taxonomy Analysis of Security Aspects in Cyber Physical Systems Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Computer science; Cyber-physical system; Smart grid; Computer security; Scope (computer science); Access control; Security controls; Security analysis; Risk analysis (engineering); Data science; Control (management); Engineering; Artificial intelligence","score_opus":0.009325851757587114,"score_gpt":0.22148534938308553,"score_spread":0.2121594976254984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2878562610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91243565,0.000107458785,0.017694695,0.000009650884,0.00010731306,0.00027976025,0.0000103113825,0.00010298585,0.06925215],"genre_scores_gemma":[0.99967545,0.000006338869,0.0000531504,0.000004650004,0.00014530445,0.00008588447,0.0000037074149,0.000004189681,0.000021303667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955016,0.00000913292,0.00013355065,0.000108134234,0.00008489747,0.00011410931],"domain_scores_gemma":[0.99968237,0.000038526745,0.000015672918,0.00019723778,0.000031288582,0.00003493382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005532178,0.00006203288,0.0001812422,0.00016991895,0.000017841523,0.000008819137,0.00010507841,0.000036055477,0.000035934994],"category_scores_gemma":[0.000003760233,0.00005521023,0.00005562907,0.0009989564,0.000065022636,0.00005410129,0.000015952039,0.00006460813,0.000038881786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026706688,0.0015266652,0.10573604,0.00075110333,0.0033772155,0.0000124295375,0.012895788,0.51080054,0.019353565,0.33555898,0.0058117253,0.004149223],"study_design_scores_gemma":[0.00014683625,0.000022311217,0.019152928,0.000013610376,0.00015651529,9.0265166e-7,0.0004336683,0.95629704,0.008700707,0.00032396833,0.01455533,0.00019617847],"about_ca_topic_score_codex":0.0001626336,"about_ca_topic_score_gemma":0.00056584016,"teacher_disagreement_score":0.44549647,"about_ca_system_score_codex":0.000024006507,"about_ca_system_score_gemma":0.000006959756,"threshold_uncertainty_score":0.22514078},"labels":[],"label_agreement":null},{"id":"W2883412232","doi":"10.1007/978-3-319-93677-2_4","title":"Smart Grid Security Secure V2G Connections","year":2018,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer security; Internet privacy; Grid; Business; Computer science; Geography","score_opus":0.004501016452185716,"score_gpt":0.1695715016745978,"score_spread":0.16507048522241208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883412232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19938244,0.0774789,0.3651227,0.0007464628,0.06282602,0.005352825,0.0003524732,0.014273155,0.27446502],"genre_scores_gemma":[0.9066197,0.015313837,0.011691411,0.0010599331,0.041273985,0.0002415826,0.00020657171,0.0015536846,0.022039264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818003,0.000008561175,0.00043298685,0.00054100505,0.0002473752,0.00059002085],"domain_scores_gemma":[0.99928045,0.00011548436,0.000039262428,0.00030924226,0.000046299334,0.00020927614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012475566,0.00054270134,0.0005484333,0.00039218852,0.000076047705,0.00008907475,0.0002709971,0.00051375333,0.00009880862],"category_scores_gemma":[0.000012015729,0.0005918827,0.00013935806,0.00017811678,0.00007706957,0.00014603557,0.0001494349,0.0012771082,0.000057681267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016962098,0.00046536786,0.0018905367,0.0054087685,0.002478613,0.0020603067,0.006739047,0.23522565,0.00083190366,0.58825225,0.09956293,0.056915015],"study_design_scores_gemma":[0.00039739377,0.00014357734,0.0008807312,0.00045716154,0.00004288104,0.00016079779,0.000001454392,0.5252473,0.000184872,0.003393717,0.46792638,0.0011637523],"about_ca_topic_score_codex":0.000012462084,"about_ca_topic_score_gemma":0.00003239922,"teacher_disagreement_score":0.7072373,"about_ca_system_score_codex":0.00014201592,"about_ca_system_score_gemma":0.000025141142,"threshold_uncertainty_score":0.9996533},"labels":[],"label_agreement":null},{"id":"W2883638677","doi":"10.1007/978-3-319-93677-2_3","title":"Smart Grid Security Security and Privacy of Customer-Side Networks","year":2018,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer security; Smart grid; Computer science; Cloud computing security; Security service; Internet privacy; Network security; Information security; Engineering; Cloud computing","score_opus":0.004206148004698247,"score_gpt":0.17324179411807528,"score_spread":0.16903564611337704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883638677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7358916,0.079960495,0.110983044,0.00015385108,0.011216327,0.002903856,0.00010443501,0.0028812918,0.055905133],"genre_scores_gemma":[0.9901279,0.005680467,0.0013275951,0.00006656135,0.0022448848,0.000016135453,0.000015655234,0.00015983079,0.00036092394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981261,0.000012078801,0.00054780924,0.00051700446,0.00024730712,0.0005497065],"domain_scores_gemma":[0.99921495,0.0001464918,0.00007034909,0.00031446168,0.000048450092,0.00020530507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018912337,0.00052534323,0.00072599115,0.00033786174,0.000044125172,0.000052964653,0.0002734524,0.00049628207,0.00002110251],"category_scores_gemma":[0.000013975159,0.00056149863,0.000110218105,0.0001667443,0.00013087205,0.00011898529,0.00028302538,0.0011243992,0.000006044085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056309905,0.0008287919,0.013261751,0.017816994,0.0038564752,0.0019706818,0.020884892,0.4711643,0.0013367826,0.2574216,0.022593705,0.18830094],"study_design_scores_gemma":[0.00048153743,0.00014584187,0.002416924,0.0006735298,0.000052037318,0.000101249694,0.0000015637595,0.9269675,0.00032591625,0.0019997284,0.065842606,0.0009915391],"about_ca_topic_score_codex":0.000018643486,"about_ca_topic_score_gemma":0.0000114458635,"teacher_disagreement_score":0.45580325,"about_ca_system_score_codex":0.000076849006,"about_ca_system_score_gemma":0.000019488289,"threshold_uncertainty_score":0.9996837},"labels":[],"label_agreement":null},{"id":"W2884595229","doi":"10.1007/978-3-319-93677-2_2","title":"Smart Grid Technology","year":2018,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart grid; Grid; Computer science; Power grid; Power consumption; Electricity; Transmission (telecommunications); Electrical engineering; Distributed computing; Telecommunications; Power (physics); Engineering; Geography; Physics","score_opus":0.003759498010288099,"score_gpt":0.1623924683304966,"score_spread":0.15863297032020848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884595229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16163492,0.10929279,0.4094127,0.0009357772,0.033871952,0.0039386586,0.000090592584,0.016929252,0.26389334],"genre_scores_gemma":[0.7593234,0.032486115,0.07532935,0.0015691841,0.043125253,0.00041324148,0.00015663788,0.0030547043,0.08454212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852926,0.0000030710971,0.0003466361,0.0004344069,0.00017283882,0.00051377964],"domain_scores_gemma":[0.99949926,0.000052213738,0.000027448634,0.0002758591,0.000028442639,0.000116784264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008043775,0.00042715203,0.00046490785,0.0006233566,0.00003679279,0.00004590011,0.000284941,0.0005425374,0.000047378177],"category_scores_gemma":[0.00000792315,0.00045695665,0.00007764408,0.00019366897,0.00008087292,0.00006529699,0.00015891252,0.000982515,0.00006365809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092424576,0.00021598213,0.0021206918,0.0031092335,0.001414293,0.0023532268,0.0012969249,0.12686937,0.0021948875,0.4545027,0.032608245,0.37322202],"study_design_scores_gemma":[0.0003936377,0.00018191378,0.0009399895,0.0005660213,0.000030675874,0.00019080553,7.0075254e-7,0.45267087,0.0006367813,0.0033339625,0.53980225,0.0012524017],"about_ca_topic_score_codex":0.0000028689399,"about_ca_topic_score_gemma":0.00000589758,"teacher_disagreement_score":0.5976885,"about_ca_system_score_codex":0.000099322584,"about_ca_system_score_gemma":0.000016086451,"threshold_uncertainty_score":0.9997882},"labels":[],"label_agreement":null},{"id":"W2887436536","doi":"10.1109/cns.2018.8433159","title":"Detecting Data Integrity Attacks on Correlated Solar Farms Using Multi-layer Data Driven Algorithm","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Brookhaven National Laboratory; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Computer science; Anomaly detection; Autoregressive model; Data mining; Data modeling; Support vector machine; Time series; Algorithm; Anomaly (physics); Pattern recognition (psychology); Artificial intelligence; Machine learning; Mathematics","score_opus":0.1538974504592887,"score_gpt":0.34030191305267826,"score_spread":0.18640446259338955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887436536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27614906,0.000107115,0.7186107,0.00003883804,0.0029699074,0.0003138487,0.0002364491,0.0007184648,0.0008555857],"genre_scores_gemma":[0.90275705,0.000037313413,0.09594598,0.000112703936,0.00077290507,0.0000020018601,0.00023737588,0.00005545194,0.00007919864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983899,0.0000496358,0.0003057913,0.00059131,0.0002410182,0.00042235965],"domain_scores_gemma":[0.9976301,0.00011123954,0.00004391204,0.0020269153,0.00006742083,0.00012036947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046707038,0.00023291685,0.00021572906,0.00009177917,0.0002540044,0.00009283415,0.0014971128,0.00021735023,0.00014089598],"category_scores_gemma":[0.00024005049,0.00019952985,0.000027422231,0.0002824451,0.000120904064,0.00063365465,0.00097317947,0.00076368626,0.00026510822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018121886,0.0012785839,0.018429438,0.00051343784,0.00168398,0.00053247786,0.008489515,0.10879892,0.11024623,0.00013019206,0.04394808,0.7057679],"study_design_scores_gemma":[0.00032548618,0.000037964557,0.00063704385,0.00008955966,0.00002689396,0.00003381375,0.00024183697,0.98948395,0.005497141,0.0000045511106,0.003324718,0.000297056],"about_ca_topic_score_codex":0.00031568235,"about_ca_topic_score_gemma":0.00045883338,"teacher_disagreement_score":0.88068503,"about_ca_system_score_codex":0.000061917,"about_ca_system_score_gemma":0.00003514151,"threshold_uncertainty_score":0.81365913},"labels":[],"label_agreement":null},{"id":"W2889114062","doi":"10.1109/ccece.2018.8447683","title":"False Data Injection Attacks Against State Estimation in Smart Grids: Challenges and Opportunities","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Smart grid; Contingency; Computer science; Computer security; State (computer science); Electric power system; Key (lock); Grid; Smart power; Estimation; Power (physics); Function (biology); Reliability engineering; Distributed computing; Engineering; Electrical engineering; Systems engineering","score_opus":0.07725673488945917,"score_gpt":0.271524951011313,"score_spread":0.19426821612185385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889114062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98094946,0.0024898492,0.003913668,0.00029162408,0.0005424531,0.00012514119,0.000016740443,0.00025533553,0.0114157405],"genre_scores_gemma":[0.9886146,0.010775912,0.00035044088,0.000057670946,0.00006463755,0.000004815913,0.00003651683,0.000010412077,0.00008499861],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994659,0.000019241412,0.00013613015,0.00015644034,0.00008255373,0.00013973651],"domain_scores_gemma":[0.99965,0.00003237811,0.000012779609,0.0002409165,0.000019466215,0.00004445041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020330343,0.00008686201,0.00008753452,0.000099622426,0.000041618114,0.000027856942,0.000112438844,0.000046310965,0.000010824281],"category_scores_gemma":[0.000023198822,0.000080684425,0.000005758572,0.00004976086,0.000079310485,0.00048784632,0.000071908085,0.000082481056,0.000016254558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041029096,0.00009093332,0.0016942337,0.00053067063,0.00006143395,0.00003768702,0.014765065,0.019626744,0.00089154975,0.0024646504,0.0069930134,0.952803],"study_design_scores_gemma":[0.00035047397,0.000106603555,0.020711863,0.000114917355,0.0000063382145,0.000018158646,0.001899645,0.9574088,0.0011184675,0.00067681266,0.017273223,0.00031469474],"about_ca_topic_score_codex":0.000035751716,"about_ca_topic_score_gemma":0.0015306837,"teacher_disagreement_score":0.9524883,"about_ca_system_score_codex":0.000016842903,"about_ca_system_score_gemma":0.000010515926,"threshold_uncertainty_score":0.32902154},"labels":[],"label_agreement":null},{"id":"W2889228911","doi":"10.1109/ccece.2018.8447662","title":"From Wired to Wireless: Challenges of False Data Injection Attacks Against Smart Grid Sensor Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Smart grid; Computer science; Software deployment; Wireless sensor network; Context (archaeology); Cyber-physical system; Computer security; Wireless; Grid; Power flow; Electric power system; Distributed computing; Computer network; Telecommunications; Power (physics); Engineering","score_opus":0.029639712725800217,"score_gpt":0.2507637673551752,"score_spread":0.22112405462937498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889228911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97423416,0.00080548075,0.016739322,0.00022892252,0.0029035748,0.0001950658,0.00007982121,0.0003545003,0.004459148],"genre_scores_gemma":[0.9960222,0.0007485215,0.0009916689,0.00010210961,0.0019814398,0.0000051952793,0.00006897458,0.000026132591,0.000053714753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989794,0.00003807497,0.0002450463,0.00032077378,0.00016430697,0.0002523976],"domain_scores_gemma":[0.9989219,0.00010425813,0.000028651664,0.0007748456,0.000059507933,0.00011084189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019591236,0.00015472971,0.00021423161,0.00006996073,0.00005768003,0.000020309059,0.00040250248,0.00013697468,0.000048105172],"category_scores_gemma":[0.000041431103,0.00014159702,0.00003073776,0.0001860272,0.0000751343,0.00019537225,0.00017345448,0.00011672406,0.000069073976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006538131,0.00058433786,0.007935191,0.000580315,0.0010247114,0.00006117135,0.024781285,0.36690098,0.073922716,0.00082171947,0.2635025,0.25923127],"study_design_scores_gemma":[0.0006089659,0.0002625989,0.014400923,0.00026691012,0.000038776147,0.0000072116386,0.0022536458,0.9121944,0.019701853,0.00004734109,0.04952977,0.00068761164],"about_ca_topic_score_codex":0.0001932871,"about_ca_topic_score_gemma":0.0019074015,"teacher_disagreement_score":0.54529345,"about_ca_system_score_codex":0.00002768297,"about_ca_system_score_gemma":0.000014701964,"threshold_uncertainty_score":0.5774159},"labels":[],"label_agreement":null},{"id":"W2889376415","doi":"10.1145/3127021","title":"On Reliability Analysis of Smart Grids under Topology Attacks","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Reliability (semiconductor); Computer science; Smart grid; Electric power system; Stochastic Petri net; Topology (electrical circuits); Distributed computing; Transient (computer programming); Cascading failure; Petri net; Reliability engineering; Power (physics); Engineering","score_opus":0.012663568165176565,"score_gpt":0.25989593466769545,"score_spread":0.2472323665025189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889376415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9227255,0.000022718825,0.07290876,0.00017752548,0.0015764191,0.00019885061,0.00006431527,0.00019653194,0.0021294076],"genre_scores_gemma":[0.9994843,0.0000110279625,0.000047378686,0.000038426704,0.00021111504,0.000034444638,0.000005647085,0.000019291638,0.00014836615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986668,0.000100832294,0.00032908842,0.00032759624,0.00028889204,0.00028674168],"domain_scores_gemma":[0.9983457,0.0005274018,0.000041696127,0.00088789256,0.000087063054,0.000110261026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014208986,0.0001984634,0.0004899568,0.00022887807,0.00013698515,0.000018168284,0.00031740792,0.00015696471,0.00010524812],"category_scores_gemma":[0.000029196095,0.00017007667,0.00030540093,0.0010130921,0.00028077702,0.0000829982,0.0000053956473,0.0002945559,0.00015510358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010756559,0.00072184525,0.0003549727,0.00011263268,0.0013637774,0.0000027537426,0.0010476264,0.98547524,0.0027292126,0.0052372506,0.0005917832,0.0022553105],"study_design_scores_gemma":[0.0020559565,0.004263708,0.06279934,0.00036018158,0.0036984875,0.000018935842,0.0015288605,0.8247043,0.07988215,0.0066720415,0.0118850395,0.0021310176],"about_ca_topic_score_codex":0.00041467926,"about_ca_topic_score_gemma":0.0002466407,"teacher_disagreement_score":0.160771,"about_ca_system_score_codex":0.000107719796,"about_ca_system_score_gemma":0.0000149184125,"threshold_uncertainty_score":0.69355255},"labels":[],"label_agreement":null},{"id":"W2890099367","doi":"10.1109/tac.2021.3106866","title":"A Game-Theoretic Framework for Security-Aware Sensor Placement Problem in Networked Control Systems","year":2019,"lang":"en","type":"preprint","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"City University of Hong Kong","keywords":"Nash equilibrium; Stackelberg competition; Detector; Computer science; Best response; Game theory; Mathematical optimization; Mathematics; Mathematical economics; Telecommunications","score_opus":0.0074851693741601515,"score_gpt":0.22724069999847782,"score_spread":0.21975553062431766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890099367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017207075,0.00068008446,0.96555185,0.00019713557,0.0061359587,0.008481048,0.0006663199,0.0009611221,0.000119403354],"genre_scores_gemma":[0.9938629,0.00013897913,0.00095709244,0.00013214529,0.00027381897,0.004390736,0.000018710867,0.00014305566,0.0000825177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965144,0.00028116562,0.0011467189,0.00070492877,0.0004911742,0.0008616334],"domain_scores_gemma":[0.99680185,0.0017513995,0.0002250437,0.00092258933,0.00010868176,0.00019041171],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00065815507,0.0007519116,0.0013759886,0.0004190656,0.00011191992,0.00019978335,0.0004977346,0.0009484638,0.00008790792],"category_scores_gemma":[0.000020159543,0.00074013876,0.00047009642,0.00024756827,0.0000972586,0.0000830753,0.0000038287903,0.0014553458,0.00009152088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019648537,0.00019645902,0.000009225269,0.0044641024,0.00044345154,0.0000114322265,0.0010473978,0.99221814,0.000026675205,0.0003865788,0.00013402308,0.0008660208],"study_design_scores_gemma":[0.004457638,0.00019657923,0.000013711639,0.0037612605,0.00034707677,0.000013039947,0.0002860292,0.9876702,0.000072900526,0.0021843584,0.00026830408,0.0007289134],"about_ca_topic_score_codex":0.00003773469,"about_ca_topic_score_gemma":0.000047120993,"teacher_disagreement_score":0.97665584,"about_ca_system_score_codex":0.00047514433,"about_ca_system_score_gemma":0.00015577194,"threshold_uncertainty_score":0.999505},"labels":[],"label_agreement":null},{"id":"W2891242934","doi":"10.2316/journal.206.2018.5.206-0066","title":"FUDP: AN SDN-BASED MECHANISM FOR CONTROLLING UDP FLOWS","year":2018,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Mechanism (biology); Computer science; Computer network; Physics","score_opus":0.010276054644699838,"score_gpt":0.2504266114998949,"score_spread":0.2401505568551951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891242934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2804925,0.000050221413,0.71711224,0.0003805051,0.001825198,0.000054713426,0.0000060101447,0.000028372218,0.00005024439],"genre_scores_gemma":[0.9723761,0.00002720785,0.026654927,0.00010431658,0.0008188416,0.0000012647947,0.0000048539573,0.000008002255,0.000004479661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945456,0.000009443351,0.00022897497,0.000048771533,0.00018558506,0.00007269078],"domain_scores_gemma":[0.99933493,0.000055371038,0.00008387004,0.0000366533,0.00044349598,0.00004567436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017773669,0.000059910282,0.00009060132,0.000107790074,0.000046294226,0.00007153476,0.00011812612,0.000042066495,0.0000081491535],"category_scores_gemma":[0.000048462804,0.00005272407,0.000042102434,0.000028431507,0.000018449517,0.00020879362,0.000004833811,0.000058165795,0.0000016543892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009265836,0.00006367882,0.000120518285,0.000035374538,0.00012852489,0.00000880658,0.0005122595,0.9239379,0.0297301,0.031550527,0.0001955892,0.013624022],"study_design_scores_gemma":[0.00072568003,0.00014556073,0.00031935572,0.00005413028,0.00001505518,0.000023395418,0.00002954669,0.9868744,0.0071268543,0.0042887647,0.00033524536,0.000061986575],"about_ca_topic_score_codex":0.0000014321514,"about_ca_topic_score_gemma":0.00000959914,"teacher_disagreement_score":0.6918836,"about_ca_system_score_codex":0.000027286043,"about_ca_system_score_gemma":0.000021580025,"threshold_uncertainty_score":0.21500252},"labels":[],"label_agreement":null},{"id":"W2891411705","doi":"10.1109/jsyst.2018.2866465","title":"Optimization of Trust Node Assignment for Securing Routes in Smart Grid SCADA Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SCADA; Computer science; Smart grid; Computer network; Network packet; Distributed computing; Software deployment; Network topology; Computer security; Engineering","score_opus":0.010037284895728636,"score_gpt":0.21662575809947374,"score_spread":0.2065884732037451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891411705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25548923,0.0010535464,0.73284507,0.000017941475,0.00984605,0.0002734199,0.0000070295046,0.000041274863,0.00042646352],"genre_scores_gemma":[0.99665487,0.00012748227,0.0007211816,0.000007582519,0.0024286325,0.000014611995,0.000001697573,0.0000212657,0.000022706561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895704,0.000040247007,0.00045459226,0.00010016667,0.00018095484,0.00026697916],"domain_scores_gemma":[0.9995676,0.000054309592,0.00010870575,0.00010676526,0.00008697295,0.0000755943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047425873,0.00011505394,0.00021493825,0.00012355717,0.000093315575,0.000056984984,0.00014923212,0.000098828,0.000008364251],"category_scores_gemma":[0.000019741672,0.00010321227,0.00005916875,0.00014642843,0.000036030913,0.0001741446,0.000008851671,0.00018330436,0.0000019007849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014706554,0.000014043613,0.002942124,0.000091258255,0.000024413313,0.0000035910352,0.0004143421,0.9944944,0.00051421137,0.000017923092,0.0013841991,0.00008478041],"study_design_scores_gemma":[0.0004890752,0.00006409033,0.00047349025,0.0003615938,0.000009676437,0.00008471224,0.0001401499,0.9952782,0.0020541085,0.000009071518,0.00091071834,0.00012513968],"about_ca_topic_score_codex":0.000028517,"about_ca_topic_score_gemma":0.000028970613,"teacher_disagreement_score":0.74116564,"about_ca_system_score_codex":0.000112760295,"about_ca_system_score_gemma":0.000022396189,"threshold_uncertainty_score":0.4208874},"labels":[],"label_agreement":null},{"id":"W2891427370","doi":"10.1145/3226029","title":"Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Hong Kong Polytechnic University; National Natural Science Foundation of China","keywords":"Testbed; Emulation; Benchmark (surveying); Cyber-physical system; Noise (video); Computer science; Domain (mathematical analysis); Black box; Reachability; Exploit; Noise control; Control (management); Stability (learning theory); Noise reduction; Computer security; Artificial intelligence; Algorithm; Computer network; Machine learning; Mathematics","score_opus":0.027092413906700544,"score_gpt":0.31910569599840566,"score_spread":0.29201328209170513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891427370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6403263,0.00005094363,0.35580814,0.00007139418,0.001480658,0.0011512177,0.00033796817,0.00022815302,0.000545218],"genre_scores_gemma":[0.99769187,0.000004752351,0.0002583523,0.000029815046,0.0014016782,0.00038822868,0.00001801821,0.00005387929,0.00015343167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982186,0.000103457314,0.00034545912,0.00036015327,0.00048983074,0.00048253316],"domain_scores_gemma":[0.99843174,0.00043195693,0.00005602555,0.00063142163,0.00025696025,0.00019191533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042489186,0.00029463955,0.00037264475,0.000102235936,0.0003188724,0.00014288492,0.00034463004,0.0001389403,0.000070268434],"category_scores_gemma":[0.000058711263,0.0002518109,0.00031750987,0.00029344077,0.00021322172,0.00028982604,0.0000031604407,0.00024814933,0.0003704393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027851193,0.00042608153,0.00015763057,0.00017400928,0.00041465508,0.000002153639,0.0017702617,0.95179164,0.03508394,0.00046706948,0.0007489277,0.0086851325],"study_design_scores_gemma":[0.0045129773,0.00066797616,0.0047580986,0.00014554933,0.00019193902,0.000014594581,0.00020525635,0.97450835,0.010776016,0.0013078229,0.0022994564,0.0006119805],"about_ca_topic_score_codex":0.00018129303,"about_ca_topic_score_gemma":0.00008419147,"teacher_disagreement_score":0.35736552,"about_ca_system_score_codex":0.00026870347,"about_ca_system_score_gemma":0.00005584611,"threshold_uncertainty_score":0.9999934},"labels":[],"label_agreement":null},{"id":"W2896797107","doi":"10.1109/bsc.2018.8494696","title":"Evaluation of Industrial Firewall Performance Issues in Automation and Control Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Computer science; Firewall (physics); Modbus; Computer network; Industrial control system; Network security; Computer security; SCADA; Application firewall; Network packet; Network Access Protection; Stateful firewall; Control (management); Communications protocol; Engineering","score_opus":0.02037344035999834,"score_gpt":0.24674726662344854,"score_spread":0.2263738262634502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896797107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775153,0.00028255352,0.00054848625,0.000026143973,0.0002464373,0.00012611784,3.2052375e-7,0.00003639786,0.0009820038],"genre_scores_gemma":[0.99968624,0.0000652479,0.000030357669,0.000007044212,0.00019611753,0.000005302924,8.847148e-7,0.0000026285402,0.0000061986534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996009,0.000028251601,0.00010914271,0.00004834071,0.00014466618,0.00006873873],"domain_scores_gemma":[0.9998491,0.000020958165,0.000012500547,0.000049316986,0.000055382763,0.0000127890435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005666536,0.0000379364,0.00006398022,0.000037256348,0.000014785654,0.0000063275843,0.000029424697,0.000062986386,0.000052949425],"category_scores_gemma":[0.00003647919,0.000033444365,0.000005450251,0.000084183885,0.00003383422,0.00011127726,0.0000047095505,0.000050304265,0.00000289326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068535446,0.000054383472,0.1498334,0.00006614577,0.000053071824,4.255941e-7,0.006174397,0.5086309,0.0024066346,0.00019237967,0.002633942,0.3298858],"study_design_scores_gemma":[0.00062113313,0.000037797876,0.04974107,0.000027677554,0.000008632714,4.5368415e-7,0.000020852629,0.9475216,0.0018578402,0.000025697609,0.00009934949,0.00003785494],"about_ca_topic_score_codex":0.00002717736,"about_ca_topic_score_gemma":0.000096650256,"teacher_disagreement_score":0.43889076,"about_ca_system_score_codex":0.000017619113,"about_ca_system_score_gemma":0.000009573773,"threshold_uncertainty_score":0.13638216},"labels":[],"label_agreement":null},{"id":"W2897565701","doi":"10.1109/bsc.2018.8494686","title":"Analysis of SCADA Security Using Penetration Testing: A Case Study on Modbus TCP Protocol","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Modbus; SCADA; Penetration (warfare); Computer science; Computer security; Vulnerability (computing); Conformance testing; Reliability engineering; Transmission Control Protocol; Penetration test; Embedded system; Communications protocol; Engineering; Computer network; Operating system","score_opus":0.05436155547005504,"score_gpt":0.3261942912643828,"score_spread":0.27183273579432776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897565701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98520106,0.000001101656,0.0015932068,0.0000015643091,0.000056351608,0.011045573,0.0000023891284,0.00010598827,0.0019927865],"genre_scores_gemma":[0.99790573,4.5121293e-8,0.00044049614,0.000008010777,0.000076863784,0.0015530069,5.849446e-7,0.000008543289,0.0000067349274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922764,0.000035795387,0.00023688999,0.00016849287,0.00019206997,0.00013910992],"domain_scores_gemma":[0.9995027,0.00006283106,0.000039955892,0.00023811366,0.00010691224,0.00004946225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740402,0.00010791607,0.00017864196,0.00023255216,0.00009013393,0.000024322371,0.000083216,0.000049027447,0.00005850456],"category_scores_gemma":[0.000049963804,0.00009164183,0.000047415535,0.0011816066,0.000045095843,0.000100272686,0.000020999292,0.000088191744,0.000004171186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099542,0.0018594763,0.31145602,0.00026502516,0.0013873173,0.00076108193,0.01887838,0.642703,0.020440862,0.0001649227,0.00020214524,0.0017822405],"study_design_scores_gemma":[0.0002704764,0.00032719914,0.010914594,0.000013775634,0.00015298689,0.000043519172,0.0012449624,0.98068595,0.006184308,0.000013371239,0.000021570071,0.0001272676],"about_ca_topic_score_codex":0.00085565,"about_ca_topic_score_gemma":0.0015620142,"teacher_disagreement_score":0.33798298,"about_ca_system_score_codex":0.00003329018,"about_ca_system_score_gemma":0.000018680528,"threshold_uncertainty_score":0.37370452},"labels":[],"label_agreement":null},{"id":"W2900575744","doi":"10.1109/tcyb.2018.2879213","title":"Guest Editorial From Intelligent Control to Smart Management of Cyber-Physical-Social Systems: A Celebration of 70th Anniversary of Cybernetics by Norbert Wiener","year":2018,"lang":"en","type":"editorial","venue":"IEEE Transactions on Cybernetics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cybernetics; Embodied cognition; Cognitive science; Systems science; Computer science; Artificial intelligence; Epistemology; Psychology; Philosophy","score_opus":0.005097003434369508,"score_gpt":0.21676486810270637,"score_spread":0.21166786466833687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900575744","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013348877,0.0001760031,0.062417723,0.000010095442,0.91787034,0.00082494423,0.004848897,0.00006866757,0.0004344324],"genre_scores_gemma":[0.4073658,0.00057794846,0.00020432335,0.0000036544054,0.5911201,0.00006855405,0.00019522151,0.00011070845,0.00035366855],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965471,0.0001096485,0.0009976821,0.0004899977,0.0014795987,0.0003759536],"domain_scores_gemma":[0.99788,0.00049941114,0.0003456268,0.00054364646,0.000575351,0.0001559956],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018363536,0.0005237418,0.0010050922,0.00024865958,0.00007748889,0.00003034291,0.0005603155,0.0008949257,0.000028670911],"category_scores_gemma":[0.000015400927,0.0005630551,0.00031881235,0.0004009816,0.00027190353,0.00009150744,0.00000858543,0.00067234266,0.000039903545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033446276,0.00064642174,0.000002868008,0.00067687547,0.00093981554,0.000003587696,0.002000773,0.0628206,0.0036342586,0.000017217353,0.9284437,0.00047942298],"study_design_scores_gemma":[0.0027887374,0.001564471,0.000026200662,0.0016663354,0.001999169,5.7649885e-7,0.0006897232,0.011659219,0.101155855,0.000039439194,0.8771215,0.0012887899],"about_ca_topic_score_codex":0.0011111593,"about_ca_topic_score_gemma":0.0001616476,"teacher_disagreement_score":0.39401692,"about_ca_system_score_codex":0.00022513237,"about_ca_system_score_gemma":0.00008673435,"threshold_uncertainty_score":0.99968207},"labels":[],"label_agreement":null},{"id":"W2901110858","doi":"10.1109/isncc.2018.8531019","title":"Hierarchical Cloud Communication for Supply Management and Power Distribution via Wireless Mesh Network into the Smart Grid","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Collège de Maisonneuve; Laboratoire Recherche Informatique Maisonneuve","funders":"","keywords":"Smart grid; Cloud computing; Computer science; Distributed computing; Renewable energy; Grid; Wireless mesh network; Tying; Computer network; Wireless; Telecommunications; Wireless network; Electrical engineering; Engineering; Operating system","score_opus":0.004924032527357114,"score_gpt":0.21064956161948298,"score_spread":0.20572552909212585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901110858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65457946,0.00072346674,0.33507517,0.0023734448,0.0018863415,0.00089139224,0.00001937289,0.00029008675,0.004161269],"genre_scores_gemma":[0.9977253,0.0003359549,0.0012378608,0.0001325075,0.0003416663,0.000049634968,0.00007316919,0.000009408649,0.000094491275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945235,0.00003177804,0.00012810525,0.0001107268,0.00008758387,0.00018945953],"domain_scores_gemma":[0.9995367,0.00009723098,0.000013133434,0.0002826683,0.00002677644,0.000043486674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024497087,0.00008644348,0.00007862197,0.0000109735465,0.00030040776,0.000041166448,0.0001972275,0.000052021383,0.000025869896],"category_scores_gemma":[0.0000041880985,0.00006071073,0.000027853428,0.000102817256,0.00018883424,0.00006402715,0.00009725768,0.00010650352,0.000011818876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024083124,0.00013330902,0.0076622106,0.0002856716,0.0003142388,0.0000028587972,0.0066168434,0.0015111873,0.00044051127,0.4971533,0.43221226,0.05342676],"study_design_scores_gemma":[0.0008455893,0.0002107915,0.05105977,0.00010437725,0.00006421877,0.000012241189,0.0005124841,0.38325372,0.0015349609,0.0194849,0.54244566,0.00047127166],"about_ca_topic_score_codex":0.000021710843,"about_ca_topic_score_gemma":0.00020511054,"teacher_disagreement_score":0.47766843,"about_ca_system_score_codex":0.000026096239,"about_ca_system_score_gemma":0.0000025949835,"threshold_uncertainty_score":0.24757117},"labels":[],"label_agreement":null},{"id":"W2901354401","doi":"10.1002/rnc.4419","title":"Security analysis for cyber‐physical systems under undetectable attacks: A geometric approach","year":2018,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Ministry of Industry and Information Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Unobservable; Subspace topology; Computer science; Cyber-physical system; Computer security; Actuator; Process (computing); Feed forward; Security analysis; Security controls; Control theory (sociology); Control (management); Control engineering; Artificial intelligence; Engineering; Mathematics","score_opus":0.013000860937797913,"score_gpt":0.24570684244764332,"score_spread":0.2327059815098454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901354401","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49755648,0.0009478425,0.49976784,0.000110868285,0.0010871355,0.00012482349,0.000066422224,0.00002416378,0.00031444538],"genre_scores_gemma":[0.9959412,0.000080661935,0.0012309279,0.000040433544,0.0026486325,0.0000048322245,0.0000069011194,0.000012194077,0.000034222026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990417,0.000026299393,0.00030892596,0.00011738063,0.00033584557,0.00016984611],"domain_scores_gemma":[0.99896014,0.00020272532,0.00011892646,0.00008039686,0.00054006785,0.00009776624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030851123,0.00012046032,0.0003221284,0.00049574143,0.000056699148,0.00011062436,0.00025014993,0.00006998201,0.000009838587],"category_scores_gemma":[0.00006799993,0.00009687273,0.00020385957,0.0003843026,0.00007068011,0.0001940675,0.000018670124,0.00017011886,0.000002864335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003767661,0.00027139686,0.0050246143,0.00006504346,0.0049748407,0.000014777029,0.00045882762,0.9854143,0.00078733085,0.0006339283,0.0009695854,0.001008552],"study_design_scores_gemma":[0.0014550551,0.00014605295,0.0015176062,0.000020236965,0.00031158573,0.00006501455,0.0001882119,0.99338675,0.00020293507,0.000100607496,0.0024802834,0.00012563933],"about_ca_topic_score_codex":0.000012883159,"about_ca_topic_score_gemma":0.0000114116165,"teacher_disagreement_score":0.49853688,"about_ca_system_score_codex":0.000058634432,"about_ca_system_score_gemma":0.000029060837,"threshold_uncertainty_score":0.39503554},"labels":[],"label_agreement":null},{"id":"W2903362517","doi":"10.1109/pvsc.2018.8547588","title":"International Development of a Distributed Energy Resource Test Platform for Electrical and Interoperability Certification","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Sandia National Laboratories","keywords":"Certification; Interoperability; Computer science; Software engineering; Vendor; Codebase; Software; Operating system; Systems engineering; Embedded system; Engineering","score_opus":0.014803025469799247,"score_gpt":0.22380213033801993,"score_spread":0.20899910486822068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903362517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7215421,0.00002618002,0.2762743,0.00008209763,0.00012030051,0.00007851158,0.000016430104,0.00007410963,0.0017859876],"genre_scores_gemma":[0.99673986,0.0000046179407,0.0030958203,0.000011998989,0.000056393492,0.000013828316,0.000035575886,0.0000040452164,0.000037862723],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959993,0.0000022070697,0.00016066724,0.00009153057,0.00006356614,0.00008206741],"domain_scores_gemma":[0.99975735,0.00007553189,0.000013388139,0.000064668144,0.00006004162,0.000029009456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071095936,0.000049035854,0.000058910075,0.00003144826,0.00003760287,0.000010299082,0.000080613325,0.000035252247,0.000022006587],"category_scores_gemma":[0.00007960118,0.000040331553,0.000012164166,0.00006628127,0.000051260373,0.000048589645,0.00002009814,0.00002714001,0.0000011608597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053525215,0.000814731,0.029348532,0.00030948958,0.000290871,9.419121e-7,0.010206999,0.0005548306,0.34288007,0.014513811,0.020229619,0.5803149],"study_design_scores_gemma":[0.00036786095,0.00011681978,0.025702113,0.000020926644,0.000005368702,0.000004687122,0.00012620847,0.26046073,0.46086362,0.00020982564,0.25195882,0.00016299903],"about_ca_topic_score_codex":0.000004067122,"about_ca_topic_score_gemma":0.000036741625,"teacher_disagreement_score":0.58015186,"about_ca_system_score_codex":0.000041332587,"about_ca_system_score_gemma":0.000010227202,"threshold_uncertainty_score":0.1644673},"labels":[],"label_agreement":null},{"id":"W2904557769","doi":"10.1109/tii.2018.2885170","title":"Stochastic Stability Analysis and Control of Secondary Frequency Regulation for Islanded Microgrids Under Random Denial of Service Attacks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Microgrid; Denial-of-service attack; Control theory (sociology); Vulnerability (computing); Observability; Computer science; Stochastic process; Lyapunov function; Controller (irrigation); Stability (learning theory); Engineering; Mathematical optimization; Computer security; Mathematics; Control (management)","score_opus":0.022196703354867824,"score_gpt":0.23512456624612268,"score_spread":0.21292786289125487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904557769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39229348,0.000008781466,0.60671216,0.000017794167,0.0003395895,0.00031015364,0.00026096738,0.000023187255,0.000033902277],"genre_scores_gemma":[0.9990717,0.0000045781944,0.00076306664,0.000026430334,0.00009187312,0.000019417157,0.0000126313935,0.000007865158,0.000002429794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893314,0.00002886011,0.0006646794,0.00007222747,0.00015339977,0.00014771252],"domain_scores_gemma":[0.99907875,0.00033253213,0.00013405875,0.00018814189,0.00021100024,0.000055522145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753885,0.00012965857,0.00035916638,0.00021922843,0.00009154919,0.000016529022,0.00009094889,0.00022239094,0.000085034626],"category_scores_gemma":[0.0000147501305,0.000121742625,0.00011957522,0.00050949724,0.0001480352,0.00022728617,8.3116333e-7,0.00020104105,0.000001360664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025783149,0.00024278648,0.00023702289,0.00076388713,0.0025953178,1.2191589e-7,0.01140565,0.94004035,0.029977713,0.00008984937,0.00011806361,0.011950947],"study_design_scores_gemma":[0.011520676,0.00046941102,0.0004892069,0.00009253097,0.0014230101,0.0000035377286,0.0011718223,0.8000481,0.18412781,0.00033442347,0.000022709815,0.0002967585],"about_ca_topic_score_codex":0.00006263069,"about_ca_topic_score_gemma":0.00032619594,"teacher_disagreement_score":0.6067782,"about_ca_system_score_codex":0.00003749695,"about_ca_system_score_gemma":0.00006886982,"threshold_uncertainty_score":0.496452},"labels":[],"label_agreement":null},{"id":"W2906097308","doi":"10.1109/mie.2018.2874385","title":"Physical-Layer Security for Industrial Wireless Control Systems: Basics and Future Directions","year":2018,"lang":"en","type":"article","venue":"IEEE Industrial Electronics Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; VINNOVA; National Natural Science Foundation of China","keywords":"PHY; Wireless; Physical layer; Computer science; Wireless network; Industrial control system; Reliability (semiconductor); Computer network; Control (management); Telecommunications","score_opus":0.01752856318496929,"score_gpt":0.23591735922624224,"score_spread":0.21838879604127295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906097308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97475207,0.002525345,0.0021017443,0.00077173504,0.014780447,0.002035804,0.00036038144,0.0006791079,0.0019933875],"genre_scores_gemma":[0.9668424,0.00041887842,0.000009538773,0.000042481905,0.0323435,0.00013964946,0.000019660438,0.00006199006,0.00012186706],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812573,0.00008333268,0.0003710586,0.00039633922,0.00026389936,0.0007596409],"domain_scores_gemma":[0.9989885,0.00024202857,0.000090300506,0.00030450153,0.00017212876,0.00020250752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003077447,0.00035205195,0.0005050817,0.00011964369,0.00029902277,0.00013307137,0.0002282506,0.000588204,0.000011854009],"category_scores_gemma":[0.00006787817,0.000336611,0.00011748351,0.00046357684,0.00017841163,0.0002218775,0.000020031572,0.0009756126,0.000027731894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004571104,0.0016965822,0.0009955231,0.0006788202,0.0031426835,0.000048504513,0.005545839,0.013092144,0.0856139,0.080471195,0.66599053,0.13815318],"study_design_scores_gemma":[0.004902051,0.0006986657,0.000014056998,0.00004917533,0.00016015286,0.000027846121,0.00009422401,0.10327615,0.0071675414,0.0004572931,0.8826353,0.0005175487],"about_ca_topic_score_codex":0.000022301088,"about_ca_topic_score_gemma":0.00011796293,"teacher_disagreement_score":0.21664478,"about_ca_system_score_codex":0.00026079325,"about_ca_system_score_gemma":0.0001837854,"threshold_uncertainty_score":0.99990857},"labels":[],"label_agreement":null},{"id":"W2906490513","doi":"10.1002/9781119360124.ch20","title":"Protecting the Privacy of Electricity Consumers in the Smart City","year":2018,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Computer security; Electricity; Computer science; Internet privacy; Information privacy; Smart city; Privacy by Design; Privacy software; Consumer privacy; Business; Internet of Things; Engineering","score_opus":0.012469913246143412,"score_gpt":0.22252600017612018,"score_spread":0.21005608692997677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906490513","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022739474,0.0006632157,0.0008285536,0.00010308114,0.00042772107,0.0010140295,0.0000041374597,0.00021582945,0.974004],"genre_scores_gemma":[0.91997284,0.0004290044,0.0004692651,0.00016543035,0.00051343866,0.00011458426,0.0000037173131,0.00025413145,0.07807759],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923813,0.000113021066,0.0001560608,0.000121426565,0.00017401323,0.00019735585],"domain_scores_gemma":[0.9994022,0.00018357187,0.000051580693,0.00033653685,0.000012093852,0.000014015377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000543125,0.00014073933,0.00016571693,0.00008806814,0.00005648593,0.0000142105955,0.0004827003,0.00015475138,0.0006355715],"category_scores_gemma":[0.00015152647,0.000071873976,0.000049483693,0.00032091822,0.00013457466,0.000016003023,0.000032731197,0.00050533935,0.00004058011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017426972,0.000115337185,0.011272003,0.0008438447,0.00022938369,0.000010115855,0.0058052624,0.00014273431,0.0006929714,0.0009726654,0.97474086,0.0051573664],"study_design_scores_gemma":[0.0002899207,0.00005523516,0.004078978,0.00028724843,0.000031496977,0.000016709862,0.00046165407,0.003243211,0.004782337,0.00018170934,0.9861635,0.00040797755],"about_ca_topic_score_codex":0.00091863936,"about_ca_topic_score_gemma":0.0013333134,"teacher_disagreement_score":0.89723337,"about_ca_system_score_codex":0.000017479153,"about_ca_system_score_gemma":0.00002167994,"threshold_uncertainty_score":0.69590616},"labels":[],"label_agreement":null},{"id":"W2906609376","doi":"10.1109/pesgm.2018.8585954","title":"On False Data Injection in Wide Area Protection Schemes","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Waterloo","funders":"","keywords":"Generality; Computer science; Electric power system; Stability (learning theory); Grid; Power grid; Load Shedding; Power (physics); Mathematics","score_opus":0.033197417778259485,"score_gpt":0.2417971353515443,"score_spread":0.2085997175732848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906609376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96240556,0.000027512564,0.028873952,0.00006865512,0.0005935824,0.00016231953,0.00000223905,0.00025330103,0.0076129003],"genre_scores_gemma":[0.9995398,0.0000104816745,0.00018439221,0.00004284007,0.000098944045,0.000008648257,0.0000054156767,0.000006528852,0.000102980826],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996007,0.000008417892,0.000079697995,0.0001331242,0.00007368557,0.000104374034],"domain_scores_gemma":[0.9996848,0.00001769956,0.000006454062,0.00026007017,0.000011099299,0.000019867688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000941306,0.000056948575,0.00004848722,0.00007754886,0.00003396616,0.000015467309,0.00011661069,0.000050011386,0.00007500011],"category_scores_gemma":[0.00008061105,0.000049322323,0.000006814211,0.00017874561,0.00002550616,0.00019171514,0.00003078584,0.00010864958,0.00012795806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009765654,0.0014195694,0.06111516,0.0010368079,0.00026219248,0.00008238118,0.008210956,0.14876515,0.19252945,0.02617782,0.24299097,0.31643298],"study_design_scores_gemma":[0.0006155587,0.00034640884,0.016673444,0.00016044294,0.000005300657,0.000017468055,0.00021922588,0.83419806,0.09073508,0.0019442093,0.054678537,0.00040624329],"about_ca_topic_score_codex":0.00010782104,"about_ca_topic_score_gemma":0.0010791968,"teacher_disagreement_score":0.6854329,"about_ca_system_score_codex":0.00002752562,"about_ca_system_score_gemma":0.000005385193,"threshold_uncertainty_score":0.2011306},"labels":[],"label_agreement":null},{"id":"W2907026133","doi":"10.1109/pimrc.2018.8580965","title":"Impact of PMU and Smart Meter Applications on the Performance of LTE-based Smart City Communications","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"EnodeB; Smart grid; Units of measurement; Asynchronous communication; Smart meter; Computer science; Phasor; Real-time computing; Metering mode; Computer network; User equipment; Engineering; Electric power system; Electrical engineering; Base station","score_opus":0.021550951001030338,"score_gpt":0.26132798537822066,"score_spread":0.23977703437719033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907026133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99038833,0.000059021262,0.0018229161,0.00012530663,0.0000233293,0.00017316682,0.000013757717,0.000034373144,0.007359785],"genre_scores_gemma":[0.99916375,0.00006995007,0.0006544277,0.00003565072,0.000014045715,0.00002829958,0.000003246035,0.000005472387,0.00002516119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996181,0.000019490759,0.00013610715,0.00006251588,0.00007620155,0.00008759525],"domain_scores_gemma":[0.9990827,0.00019023105,0.000027626165,0.0006111061,0.00005931172,0.000029067724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013722896,0.00006625304,0.000090574744,0.00004287208,0.0000940043,0.0000063472044,0.00025536492,0.000032931275,0.00008489637],"category_scores_gemma":[0.000012237547,0.000041255586,0.000043043092,0.00016707412,0.00032618668,0.000044010867,0.000036885205,0.00008740539,0.0000108113845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014810062,0.0009764453,0.8438939,0.00048611677,0.000497647,1.8374654e-7,0.002918367,0.009417469,0.10302398,0.020909999,0.008300904,0.009426887],"study_design_scores_gemma":[0.00035783474,0.00049037207,0.5361835,0.00006955985,0.000035478868,0.0000021196277,0.000062731284,0.32580113,0.13247067,0.00011189252,0.0041995095,0.0002152412],"about_ca_topic_score_codex":0.00007556027,"about_ca_topic_score_gemma":0.0000673552,"teacher_disagreement_score":0.31638366,"about_ca_system_score_codex":0.00001268295,"about_ca_system_score_gemma":0.000016760498,"threshold_uncertainty_score":0.1682354},"labels":[],"label_agreement":null},{"id":"W2907201764","doi":"10.3166/ejee.20.171-179","title":"Consistency check for secondary virtual terminals in smart substations","year":2018,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Telecommunications; Computer science; Artificial intelligence","score_opus":0.008828969262542084,"score_gpt":0.20899638260443026,"score_spread":0.20016741334188817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907201764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88502324,0.0012564033,0.108853295,0.00008062044,0.0012197937,0.00014780654,0.000005898513,0.00009485218,0.003318091],"genre_scores_gemma":[0.99643517,0.00005997944,0.002870203,0.000034660025,0.0005271714,0.000001601389,0.0000010579419,0.000035843685,0.00003430166],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898297,0.000035762856,0.00047892804,0.00009037613,0.00012515967,0.00028682506],"domain_scores_gemma":[0.99947137,0.0001709812,0.000054382446,0.000087647495,0.00009848053,0.00011714637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050083204,0.00012589974,0.00020280502,0.00028610844,0.000040928517,0.00002803031,0.00019829116,0.00002864447,0.000022513721],"category_scores_gemma":[0.00029551706,0.00012074898,0.00009324876,0.00035250385,0.00003447626,0.000157731,0.000011835421,0.00036315212,0.000015590791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005124788,0.0005840063,0.0027555218,0.0006343584,0.0006365409,0.0022332624,0.0090865465,0.3427495,0.3863648,0.010252385,0.02707435,0.21711625],"study_design_scores_gemma":[0.005920933,0.0044275294,0.10817819,0.0007270066,0.0001190738,0.0015392464,0.00026779226,0.6949417,0.053431556,0.0002003901,0.1287155,0.0015310929],"about_ca_topic_score_codex":4.0248997e-7,"about_ca_topic_score_gemma":0.000001913699,"teacher_disagreement_score":0.35219216,"about_ca_system_score_codex":0.000054076958,"about_ca_system_score_gemma":0.000039760394,"threshold_uncertainty_score":0.49240002},"labels":[],"label_agreement":null},{"id":"W2907814030","doi":"10.1109/tii.2018.2890002","title":"On Cyber-Physical Coupling and Distributed Control in Smart Grids","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Smart grid; Distributed computing; Computer science; Transmission (telecommunications); Distributed generation; Grid; Coupling (piping); Representation (politics); Power control; Control (management); Electric power system; Power (physics); Engineering; Electrical engineering; Telecommunications; Renewable energy","score_opus":0.01614743898306465,"score_gpt":0.22671393024867187,"score_spread":0.21056649126560723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907814030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83613235,0.0000030331428,0.16153029,0.000055183522,0.0013799593,0.00023316548,0.00012327002,0.00013199185,0.0004107575],"genre_scores_gemma":[0.99959445,0.0000133358635,0.00003559033,0.00007407784,0.0002385765,0.000018539347,0.0000049805176,0.000011702785,0.000008744029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991443,0.000011128554,0.00033834198,0.00007567248,0.0001788804,0.0002516642],"domain_scores_gemma":[0.999473,0.00021702143,0.00003170813,0.00015154526,0.000028579696,0.0000981486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012882949,0.0001605128,0.00020623882,0.00014533933,0.00013007341,0.000052053234,0.000096330856,0.00019364464,0.000018983668],"category_scores_gemma":[0.000014595274,0.00014910962,0.000044870976,0.0002922724,0.00012682941,0.00022249043,8.289122e-7,0.00060612516,0.00006166102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022570512,0.0001715652,0.00009152994,0.00003831904,0.00006601523,0.0000036797812,0.002441965,0.98934895,0.00025041707,0.00032675272,0.0014179755,0.005617131],"study_design_scores_gemma":[0.00239272,0.0003550396,0.00010438721,0.0001141448,0.000026709447,0.0000058223695,0.00033751264,0.9872427,0.0077465554,0.000068107714,0.0013627257,0.00024354944],"about_ca_topic_score_codex":0.000019309426,"about_ca_topic_score_gemma":0.000033533688,"teacher_disagreement_score":0.16346209,"about_ca_system_score_codex":0.00007835027,"about_ca_system_score_gemma":0.000025794367,"threshold_uncertainty_score":0.60805136},"labels":[],"label_agreement":null},{"id":"W2909087439","doi":"10.1109/epec.2018.8598358","title":"A Power Quality and Load Analysis of a Cryptocurrency Mine","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Transformer; Total harmonic distortion; Cryptocurrency; Computer science; Harmonic analysis; Context (archaeology); Power quality; Electric power system; Spectrum analyzer; Waveform; Electrical engineering; Reliability engineering; Power (physics); Engineering; Electronic engineering; Voltage; Telecommunications; Computer security; Geology","score_opus":0.014604944397738883,"score_gpt":0.27656091725468157,"score_spread":0.26195597285694266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909087439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784564,0.00029909846,0.002832437,0.000026153772,0.00009905124,0.00002892498,0.0000058037963,0.00004644949,0.0182057],"genre_scores_gemma":[0.9994971,0.0000271028,0.00036804352,0.00001993076,0.000021298674,0.0000011289754,8.702081e-7,0.0000023625769,0.00006215873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995804,0.000009219773,0.00013921232,0.00008249514,0.00010200986,0.00008667739],"domain_scores_gemma":[0.99973464,0.000031399097,0.000013053073,0.00013151803,0.00005177794,0.00003763284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011666012,0.00005181219,0.00014390511,0.000080248035,0.000015949232,0.0000057497477,0.000052274067,0.0000316072,0.0005493092],"category_scores_gemma":[0.000032534146,0.00004171012,0.000042090847,0.00042361463,0.0000864514,0.00004312433,0.00001674633,0.00003215812,0.00000945224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018738866,0.00071659934,0.7183152,0.00087595475,0.007149873,0.0000136672,0.03935841,0.004610622,0.13410318,0.053676404,0.025711598,0.015281118],"study_design_scores_gemma":[0.00037136857,0.00012561062,0.9286341,0.000019881158,0.00025250908,0.0000016031847,0.0003066864,0.051885042,0.011404811,0.0003710508,0.0063149524,0.00031239138],"about_ca_topic_score_codex":0.00007560043,"about_ca_topic_score_gemma":0.00029932626,"teacher_disagreement_score":0.21031891,"about_ca_system_score_codex":0.0000075366215,"about_ca_system_score_gemma":0.000006377457,"threshold_uncertainty_score":0.6014551},"labels":[],"label_agreement":null},{"id":"W2909120408","doi":"10.1109/epec.2018.8598328","title":"Detection of False Data Injection Attacks in Automatic Generation Control Systems Considering System Nonlinearities","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automatic Generation Control; Electric power system; Novelty; Stability (learning theory); Computer science; Control theory (sociology); Power (physics); Control system; Automatic frequency control; Control (management); Engineering; Artificial intelligence; Telecommunications; Machine learning","score_opus":0.026978670685291018,"score_gpt":0.23969978376815387,"score_spread":0.21272111308286284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909120408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88777715,0.00031018266,0.10932575,0.000004034706,0.0016888517,0.00024333636,0.000016515813,0.00028362035,0.00035057467],"genre_scores_gemma":[0.9993088,0.000009895781,0.00021228266,0.000004202743,0.0004200823,0.000013426311,0.0000104392475,0.000011161904,0.000009675358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921054,0.00004897494,0.0003440463,0.0001424562,0.0001242981,0.00012971567],"domain_scores_gemma":[0.99953175,0.00005106028,0.000041440067,0.0002941086,0.000056832025,0.000024818097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029023265,0.000089250214,0.00017736066,0.00013332895,0.000051239953,0.000037648268,0.00010902365,0.00008543542,0.0000042427787],"category_scores_gemma":[0.000042335712,0.00008486095,0.000014240699,0.00015809575,0.000047959908,0.00028791238,0.000023735576,0.00007964377,0.000012081853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028225057,0.00006668585,0.005009373,0.0034598727,0.0001331064,0.000011603757,0.0018575479,0.59460527,0.38791975,0.0009831804,0.0005064629,0.005418895],"study_design_scores_gemma":[0.00028814498,0.000043231044,0.0006301395,0.00013256323,0.0000100099305,0.000037121394,0.00077974575,0.9793992,0.018503359,0.0000012780029,0.0000869946,0.00008819609],"about_ca_topic_score_codex":0.00044856252,"about_ca_topic_score_gemma":0.0018874694,"teacher_disagreement_score":0.38479394,"about_ca_system_score_codex":0.00007280004,"about_ca_system_score_gemma":0.00001512117,"threshold_uncertainty_score":0.3460529},"labels":[],"label_agreement":null},{"id":"W2909456249","doi":"10.1109/epec.2018.8598452","title":"Two-fold Intelligent Approach for Successful FDI Attack on Power Systems State Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Estimator; State estimator; State vector; Computer science; State (computer science); Mathematical optimization; Adversary; Artificial neural network; Nonlinear system; Algorithm; Artificial intelligence; Mathematics; Computer security","score_opus":0.025209004975531756,"score_gpt":0.2745907261843658,"score_spread":0.24938172120883406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909456249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18602023,0.000097972006,0.7887143,0.00001865874,0.0012433077,0.000486162,0.00001068715,0.00030063323,0.023108048],"genre_scores_gemma":[0.99529654,0.000012869421,0.0038247122,0.000040119656,0.00009555972,0.00005290882,0.000014662341,0.000022909153,0.00063974765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992243,0.00001286688,0.0001939055,0.00017939082,0.00014836638,0.00024113989],"domain_scores_gemma":[0.9995931,0.000055076023,0.000021835736,0.00020266655,0.000059007438,0.00006830795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016015315,0.00013020883,0.00012832861,0.0000660679,0.00007385952,0.0000701441,0.00014441411,0.000050855935,0.000038317503],"category_scores_gemma":[0.000018398548,0.00010393275,0.000041193685,0.0001122561,0.000044021683,0.00012179114,0.000016040893,0.00007604509,0.00015322011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032104115,0.000061025654,0.00013352318,0.00021534285,0.00003791654,8.597953e-7,0.00095744774,0.9826559,0.00038395092,0.0048907707,0.009793943,0.0008372073],"study_design_scores_gemma":[0.00017446878,0.00012876293,0.00009789073,0.000030399047,0.0000055806954,0.0000031916297,0.00018669754,0.98279214,0.009722682,0.000049422153,0.0066430317,0.00016570892],"about_ca_topic_score_codex":0.000030717103,"about_ca_topic_score_gemma":0.000014929987,"teacher_disagreement_score":0.8092763,"about_ca_system_score_codex":0.000049769646,"about_ca_system_score_gemma":0.000008390081,"threshold_uncertainty_score":0.42382544},"labels":[],"label_agreement":null},{"id":"W2910805148","doi":"10.1109/iemcon.2018.8615051","title":"Network Security Evaluation Scheme for WSN in Cyber-physical Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of Victoria","funders":"","keywords":"Computer science; Scheme (mathematics); Software deployment; Computer security; Usability; Network security; Security service; Security analysis; Internet of Things; Network Access Control; Wireless sensor network; Cyber-physical system; Cloud computing security; Computer network; Information security; Cloud computing; Software engineering","score_opus":0.01774703012471245,"score_gpt":0.26703703660445244,"score_spread":0.24929000647973998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910805148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98465675,0.00027597926,0.0034556868,0.000036496815,0.0014345346,0.0005405366,0.000002783356,0.00015369311,0.0094435215],"genre_scores_gemma":[0.9977859,0.000004416669,0.00031215034,0.000022154813,0.001733199,0.00008890573,0.000006181771,0.000010601107,0.0000364739],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993238,0.000024305162,0.00012667308,0.00013207311,0.00016006567,0.00023312568],"domain_scores_gemma":[0.9996779,0.00006787359,0.000011326848,0.00013602285,0.000068163106,0.000038693728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036897842,0.00008142479,0.00011544806,0.000028851513,0.00004678685,0.000023505476,0.00008738519,0.00006407026,0.000024758136],"category_scores_gemma":[0.00003337413,0.00007298353,0.000029255007,0.0001740231,0.000037025417,0.0000987113,0.000014321683,0.000079564634,0.000054285134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001641281,0.00045086877,0.010450599,0.001039399,0.0001615014,0.0000042361685,0.012102769,0.6521067,0.0151302535,0.13940237,0.16438916,0.0045980224],"study_design_scores_gemma":[0.00028003482,0.00003328394,0.0017302256,0.000031657113,0.000005881997,0.0000010429503,0.00007264237,0.98904985,0.00078177196,0.002296404,0.0056066113,0.00011057572],"about_ca_topic_score_codex":0.0000317959,"about_ca_topic_score_gemma":0.00016248038,"teacher_disagreement_score":0.33694318,"about_ca_system_score_codex":0.000054505144,"about_ca_system_score_gemma":0.000015147762,"threshold_uncertainty_score":0.2976182},"labels":[],"label_agreement":null},{"id":"W2911208604","doi":"10.1109/epec.2018.8598380","title":"Low-cost and Secure Communication System for Remote Micro-grids using AES Cryptography on ESP32 with LoRa Module","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; SCADA; Encryption; Cryptography; Authentication (law); Advanced Encryption Standard; Computer network; Wireless; Secure communication; Embedded system; Computer security; Engineering; Telecommunications; Electrical engineering","score_opus":0.010389777255322898,"score_gpt":0.219983570366451,"score_spread":0.2095937931111281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911208604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9160603,0.000279253,0.081759185,0.000043122887,0.00020222392,0.00037743623,0.000012472761,0.00021718025,0.0010487708],"genre_scores_gemma":[0.97532815,0.00003760586,0.024427533,0.000034800516,0.000120866076,0.00000618555,0.000009536316,0.000024046516,0.000011265381],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941456,0.00001818456,0.00012371567,0.00016165631,0.00008976824,0.00019210993],"domain_scores_gemma":[0.9994477,0.000047907397,0.000025350797,0.00034149925,0.000078017394,0.00005953794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011416903,0.00013201011,0.00013146989,0.00009166902,0.00024846767,0.000083027255,0.00013779556,0.00008220669,0.000003516692],"category_scores_gemma":[0.000005167048,0.00010383562,0.000030463169,0.00018092181,0.00015308023,0.00012354001,0.000024540372,0.000099035984,0.000005661411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030326229,0.00084375514,0.018448217,0.016734963,0.0016630795,0.000042281295,0.03765227,0.18682249,0.56123793,0.08610859,0.024643322,0.06277048],"study_design_scores_gemma":[0.001407358,0.00035165754,0.0013742186,0.0014207545,0.000062397936,0.000057173416,0.001525138,0.726662,0.25814816,0.00029358122,0.008042689,0.0006548797],"about_ca_topic_score_codex":0.000035811365,"about_ca_topic_score_gemma":0.0001357622,"teacher_disagreement_score":0.5398395,"about_ca_system_score_codex":0.000032000007,"about_ca_system_score_gemma":0.000009316405,"threshold_uncertainty_score":0.42342937},"labels":[],"label_agreement":null},{"id":"W2911647653","doi":"10.1109/cdc.2018.8618960","title":"A Command Governor Based Approach for Detection of Setpoint Attacks in Constrained Cyber-Physical Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Setpoint; Computer science; SIGNAL (programming language); Cyber-physical system; Control system; Command and control; Control (management); Governor; Detector; Real-time computing; Control theory (sociology); Computer security; Engineering; Operating system; Artificial intelligence; Telecommunications","score_opus":0.010369505745465215,"score_gpt":0.22182469474481115,"score_spread":0.21145518899934593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911647653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67356795,0.000021878279,0.32120335,0.000009244001,0.0002182394,0.00036144519,0.000019328603,0.000078049714,0.004520481],"genre_scores_gemma":[0.9989585,7.550848e-7,0.0007978446,0.000008807169,0.00014642187,0.00004287625,0.0000048748607,0.000009576847,0.000030311474],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994874,0.000016058424,0.00015344941,0.000107975786,0.0000907548,0.00014434148],"domain_scores_gemma":[0.999709,0.000084189196,0.000020602909,0.000117366966,0.000034838537,0.000034019347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011271511,0.00008231979,0.0001638156,0.00004529154,0.000025721089,0.000010924563,0.00006926917,0.00006020328,0.0000032079927],"category_scores_gemma":[0.000019134834,0.00007070209,0.000044804663,0.00011941398,0.000094884614,0.000047201895,0.000007979912,0.0000684341,0.000002894083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005516237,0.0010757372,0.0038965486,0.0041713878,0.00018301503,0.0000054420066,0.0037736984,0.41764843,0.5524994,0.009457336,0.0025005655,0.004236829],"study_design_scores_gemma":[0.00061335147,0.000115469156,0.00056340994,0.000025392825,0.0000058604905,0.0000026839743,0.00017580195,0.9426972,0.055063725,0.000013597723,0.00063185126,0.00009160123],"about_ca_topic_score_codex":0.00007935539,"about_ca_topic_score_gemma":0.00009499245,"teacher_disagreement_score":0.52504885,"about_ca_system_score_codex":0.000036527297,"about_ca_system_score_gemma":0.000011448567,"threshold_uncertainty_score":0.28831476},"labels":[],"label_agreement":null},{"id":"W2914608166","doi":"10.1109/tsg.2019.2895306","title":"False Data Injection Attacks Against State Estimation in Multiphase and Unbalanced Smart Distribution Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Nanyang Technological University; Alberta Innovates - Technology Futures","keywords":"Vulnerability (computing); Phase (matter); Distribution (mathematics); Computer science; Power (physics); State (computer science); Electric power system; Engineering; Mathematics; Computer security; Algorithm; Physics","score_opus":0.013416508889988476,"score_gpt":0.23876836738180282,"score_spread":0.22535185849181436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914608166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6678988,0.0001091737,0.32743922,0.000022496624,0.0032285084,0.00043314142,0.00060783554,0.00020392901,0.000056928322],"genre_scores_gemma":[0.99902344,0.0003216764,0.00011509336,0.000018741572,0.000045571433,0.000044242708,0.0003455338,0.0000255725,0.000060111277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869716,0.00006148023,0.00035087988,0.0003854696,0.00021535548,0.0002896808],"domain_scores_gemma":[0.999212,0.0000997903,0.00004420658,0.00051238853,0.00003543556,0.00009613198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026068417,0.00021395183,0.00023499275,0.00016503544,0.00011246462,0.00007906669,0.0001682814,0.00012535653,0.0000081222925],"category_scores_gemma":[0.000008963971,0.00022115432,0.000033785564,0.00036174685,0.000046922425,0.00063980644,0.0000035143755,0.0003671877,0.00009700298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006249095,0.000088587534,0.0011549446,0.00014703601,0.00002587887,0.0000055331693,0.0002011069,0.98978144,0.002589117,0.000004311958,0.00028759014,0.0056519355],"study_design_scores_gemma":[0.0010635367,0.00008234041,0.00423278,0.0001660014,0.000016326907,0.00001927956,0.00010433473,0.9885749,0.0036247429,0.0000055002565,0.0018321673,0.00027807438],"about_ca_topic_score_codex":0.00021232702,"about_ca_topic_score_gemma":0.00040707516,"teacher_disagreement_score":0.3311247,"about_ca_system_score_codex":0.00015172287,"about_ca_system_score_gemma":0.000023942508,"threshold_uncertainty_score":0.90184116},"labels":[],"label_agreement":null},{"id":"W2915491472","doi":"10.1109/glocom.2018.8647324","title":"PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Paillier cryptosystem; Smart grid; Computer science; Cryptosystem; Overhead (engineering); Computer security; Scheme (mathematics); State (computer science); Distributed computing; Cryptography; Embedded system; Engineering; Algorithm; Hybrid cryptosystem; Mathematics; Electrical engineering","score_opus":0.03010652913770811,"score_gpt":0.25787919235865864,"score_spread":0.22777266322095052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915491472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092628,0.000059574242,0.025914058,0.000098248776,0.00085640885,0.000560336,0.000025903202,0.00035855256,0.062864155],"genre_scores_gemma":[0.9973412,0.000009033625,0.0019333779,0.000089436675,0.0003219293,0.00003919727,0.000031298005,0.000018241015,0.00021629676],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990579,0.000026004134,0.00016495258,0.00033258938,0.00013965879,0.0002788992],"domain_scores_gemma":[0.99935263,0.00002124057,0.000010130302,0.0004900837,0.000031394313,0.00009452541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021207589,0.00013055098,0.00013272096,0.00013021447,0.00005521296,0.000037578196,0.00033911833,0.000089364505,0.000022233302],"category_scores_gemma":[0.000043806696,0.000115403935,0.000017322971,0.00046412108,0.00006081545,0.00033553122,0.00015287694,0.00018166333,0.00016269006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009896794,0.003627643,0.14041327,0.00155988,0.0010143352,0.00010479789,0.082325175,0.1523684,0.04817662,0.012279594,0.44324046,0.11390015],"study_design_scores_gemma":[0.0013187922,0.00043493553,0.12231167,0.00011540727,0.00003375726,0.00008671612,0.002572217,0.7893243,0.029486164,0.0003736052,0.052708853,0.0012335783],"about_ca_topic_score_codex":0.00019150149,"about_ca_topic_score_gemma":0.00083487853,"teacher_disagreement_score":0.6369559,"about_ca_system_score_codex":0.00005564394,"about_ca_system_score_gemma":0.00001860216,"threshold_uncertainty_score":0.4706036},"labels":[],"label_agreement":null},{"id":"W2915512325","doi":"","title":"Impact of PMU and smart meter applications on the performance of LTE-based smart city communications","year":2018,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"EnodeB; Smart meter; Units of measurement; Smart grid; Asynchronous communication; Phasor; Metering mode; Real-time computing; Computer science; Measure (data warehouse); Engineering; Computer network; User equipment; Electrical engineering; Electric power system; Base station; Data mining","score_opus":0.013634652803345942,"score_gpt":0.24049478459845627,"score_spread":0.22686013179511033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915512325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541018,0.0004078087,0.043322608,0.0005128848,0.00003215968,0.0005474832,0.00006349401,0.00016930077,0.0008424346],"genre_scores_gemma":[0.99324006,0.00025259645,0.00597341,0.00015725354,0.000031461546,0.00029031822,0.000009633477,0.000022991759,0.000022282431],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990556,0.000062466475,0.00030725892,0.00014837785,0.00016963463,0.00025664637],"domain_scores_gemma":[0.99819064,0.00026632333,0.00010099856,0.0012316103,0.000116016476,0.00009440619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037778335,0.0001712754,0.00021503611,0.00018224993,0.0002052175,0.00002482814,0.0005776238,0.00011833597,0.000026863265],"category_scores_gemma":[0.00004986543,0.00012862823,0.00011078172,0.00043185678,0.0004788157,0.00010655373,0.000104328865,0.00026610258,0.000005325061],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024100242,0.0009280889,0.82730335,0.0003277748,0.00035890355,0.0000012856965,0.0012918754,0.016138308,0.11314398,0.022739574,0.003662771,0.01386311],"study_design_scores_gemma":[0.00027230912,0.0004293307,0.37138087,0.000090320835,0.00003725067,0.000008985309,0.00003014651,0.51745194,0.108527265,0.00022186934,0.0013069514,0.00024276171],"about_ca_topic_score_codex":0.0013375189,"about_ca_topic_score_gemma":0.0007392132,"teacher_disagreement_score":0.5013136,"about_ca_system_score_codex":0.00009362229,"about_ca_system_score_gemma":0.00007275701,"threshold_uncertainty_score":0.5245307},"labels":[],"label_agreement":null},{"id":"W2917110949","doi":"10.1177/1550147719829960","title":"Case studies of communications systems during harsh environments: A review of approaches, weaknesses, and limitations to improve quality of service","year":2019,"lang":"en","type":"review","venue":"International Journal of Distributed Sensor Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Risk analysis (engineering); Strengths and weaknesses; Communications system; Quality (philosophy); Service (business); Computer security; Quality of service; Telecommunications; Business","score_opus":0.16570157054370876,"score_gpt":0.35110413194463547,"score_spread":0.1854025614009267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917110949","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00087222294,0.99445,0.0021695255,0.00007363853,0.00071022374,0.0004962264,0.0012012881,0.0000063328685,0.000020569894],"genre_scores_gemma":[0.023086825,0.9762402,0.00032492614,0.00000945776,0.00011945438,0.000017861985,0.00017465826,0.000021179383,0.000005433548],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99701935,0.0002645293,0.0020362854,0.0001434773,0.00040354504,0.00013280005],"domain_scores_gemma":[0.9961726,0.0010987931,0.001627745,0.00045979064,0.00056054,0.00008051418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006110126,0.00024286138,0.0015943642,0.00016508665,0.00003238642,0.000015116571,0.00065422,0.0001489851,0.0000020458494],"category_scores_gemma":[0.00041179932,0.00020782936,0.00028713729,0.0002952087,0.00010792515,0.00012387807,0.00022122225,0.00042457442,8.779244e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011154937,0.000851734,0.00011129244,0.6401898,0.01666241,0.00028286208,0.0013987831,0.23263098,0.00019254729,0.0013056009,0.0010826674,0.105179735],"study_design_scores_gemma":[0.0022509382,0.00033447877,0.00034729615,0.6221157,0.0066614444,0.009476549,0.004058237,0.016239151,0.000087670785,0.000026569654,0.33676368,0.0016382942],"about_ca_topic_score_codex":0.000017820605,"about_ca_topic_score_gemma":0.000016262838,"teacher_disagreement_score":0.335681,"about_ca_system_score_codex":0.0001554613,"about_ca_system_score_gemma":0.000056329718,"threshold_uncertainty_score":0.84750354},"labels":[],"label_agreement":null},{"id":"W2918909322","doi":"10.1109/jsen.2019.2902357","title":"A Low Power WSNs Attack Detection and Isolation Mechanism for Critical Smart Grid Applications","year":2019,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Wireless sensor network; Smart grid; Reliability (semiconductor); Quality of service; Efficient energy use; Denial-of-service attack; Key distribution in wireless sensor networks; Computer network; Embedded system; Distributed computing; Wireless; Power (physics); Engineering; Wireless network; The Internet; Telecommunications; Electrical engineering","score_opus":0.008566000264419749,"score_gpt":0.24085993760015265,"score_spread":0.2322939373357329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918909322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7263092,0.000052645566,0.27105024,0.00012213015,0.0019239936,0.00023633438,0.000009072636,0.00006411463,0.00023229925],"genre_scores_gemma":[0.9977974,0.00006772641,0.0014487443,0.000050566992,0.0005369016,0.000015565472,9.3430947e-7,0.000020086982,0.000062031526],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993427,0.000018373697,0.00018093089,0.0001237113,0.0001231355,0.00021116433],"domain_scores_gemma":[0.9995505,0.00011277829,0.000026219026,0.00009837584,0.00010158783,0.00011050466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013464146,0.00010034601,0.00010978611,0.000084548956,0.00016947229,0.000074591524,0.000058180536,0.00009952959,0.00003775144],"category_scores_gemma":[0.000032228214,0.00009655962,0.000059318736,0.0000798881,0.000027550424,0.00018427303,0.0000053266554,0.00024697566,0.00005686393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008650751,0.00009748523,0.00040721372,0.0003009236,0.00009119274,0.000009677487,0.0012010491,0.03334191,0.95585054,0.0037210982,0.0023300918,0.002562289],"study_design_scores_gemma":[0.00171507,0.0005204512,0.0040926165,0.00016250867,0.00009482784,0.001911043,0.0006366809,0.78724384,0.17753723,0.008604791,0.01664516,0.0008357952],"about_ca_topic_score_codex":8.233976e-7,"about_ca_topic_score_gemma":0.0000041312715,"teacher_disagreement_score":0.77831334,"about_ca_system_score_codex":0.00003878666,"about_ca_system_score_gemma":0.000010032056,"threshold_uncertainty_score":0.3937587},"labels":[],"label_agreement":null},{"id":"W2921677088","doi":"10.1109/tii.2018.2863256","title":"False Data Injection Attacks With Limited Susceptance Information and New Countermeasures in Smart Grid","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Susceptance; Countermeasure; Smart grid; Adversary; Electric power system; Electric power transmission; Engineering; Computer science; Transmission line; Transmission (telecommunications); Computer security; Embedded system; Computer network; Power (physics); Electrical engineering","score_opus":0.05356814300518221,"score_gpt":0.24591210704282107,"score_spread":0.19234396403763887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921677088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6769257,0.000025307887,0.31723306,0.00010120015,0.0034429862,0.00059745944,0.00020526703,0.0003220364,0.0011469779],"genre_scores_gemma":[0.9988985,0.00011985206,0.0004653298,0.00011865424,0.00031064378,0.000011184934,0.00004052302,0.000012499689,0.000022812372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889493,0.000018564499,0.000500456,0.00008677534,0.00026374948,0.00023555139],"domain_scores_gemma":[0.9993225,0.000060575076,0.000076234406,0.00036651958,0.00006590027,0.00010832418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022554312,0.00017947747,0.0001716623,0.0002927935,0.00014040832,0.00013854932,0.0002024209,0.0002240679,0.000022616152],"category_scores_gemma":[0.000019805135,0.00016139538,0.00001706808,0.00052114285,0.00012284546,0.0024110598,0.000003324587,0.00051981246,0.000045447312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016625611,0.00020796918,0.0032563389,0.00038355158,0.00028284558,0.000005380163,0.025798323,0.65064585,0.00016470789,0.00007304984,0.051043443,0.26647595],"study_design_scores_gemma":[0.008547739,0.0017498242,0.0027761667,0.00097090716,0.00014209734,0.00017792056,0.0055521936,0.86762524,0.012301277,0.00003487244,0.09876346,0.0013582797],"about_ca_topic_score_codex":0.00017068961,"about_ca_topic_score_gemma":0.001395116,"teacher_disagreement_score":0.3219728,"about_ca_system_score_codex":0.00008561028,"about_ca_system_score_gemma":0.000105087216,"threshold_uncertainty_score":0.65815127},"labels":[],"label_agreement":null},{"id":"W2937072220","doi":"10.1109/icassp.2019.8683696","title":"Digitally Annealed Solution for the Vertex Cover Problem with Application in Cyber Security","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Phasor; Vertex cover; Computer science; Units of measurement; Cover (algebra); Vertex (graph theory); Computer security; State (computer science); Topology (electrical circuits); Distributed computing; Electric power system; Power (physics); Theoretical computer science; Algorithm; Engineering; Graph; Electrical engineering","score_opus":0.003222481288774264,"score_gpt":0.18159072504866033,"score_spread":0.17836824375988608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937072220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8083933,0.00022386339,0.15265518,0.00045348075,0.00023979996,0.0025803307,0.000013138938,0.00027025832,0.03517062],"genre_scores_gemma":[0.999326,0.000014983021,0.00022262227,0.000050193627,0.00002396236,0.00011636694,0.00000898494,0.000009596842,0.00022728281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956495,0.0000040524387,0.0000884666,0.00011190851,0.000083918196,0.00014669157],"domain_scores_gemma":[0.999729,0.00007163435,0.000011591126,0.00014700102,0.000022085776,0.000018720142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082314524,0.00006943727,0.00006842882,0.00002052394,0.000028796314,0.00002491701,0.00009465499,0.00004432753,0.000016580665],"category_scores_gemma":[0.000003529043,0.000042782194,0.000019409725,0.000111487316,0.000019396459,0.0001700894,0.000011117675,0.000072102586,0.000071796116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042235205,0.00034994725,0.07141788,0.0009158088,0.0001668566,0.000002356493,0.005401405,0.8392187,0.009980089,0.035370976,0.020729244,0.016024433],"study_design_scores_gemma":[0.00068526686,0.00005729823,0.014459545,0.000024146202,0.0000065804156,0.00000333314,0.00007007922,0.9614465,0.00087962026,0.00094734656,0.021261513,0.00015873052],"about_ca_topic_score_codex":0.00003936921,"about_ca_topic_score_gemma":0.00036837594,"teacher_disagreement_score":0.19093268,"about_ca_system_score_codex":0.00003311373,"about_ca_system_score_gemma":0.000011398378,"threshold_uncertainty_score":0.17446072},"labels":[],"label_agreement":null},{"id":"W2939790404","doi":"10.1049/iet-com.2018.5344","title":"Secrecy analysis of wireless sensor network in smart grid with destination assisted jamming","year":2019,"lang":"en","type":"article","venue":"IET Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Jamming; Computer science; Secrecy; Wireless sensor network; Computer network; Wireless; Telecommunications; Smart grid; Wireless network; Computer security; Electrical engineering; Engineering","score_opus":0.012368701669981668,"score_gpt":0.2284122566462564,"score_spread":0.21604355497627473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939790404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369633,0.00024191661,0.0022882037,0.00010713225,0.00008509373,0.00014617015,0.00000939356,0.00007393608,0.0033518183],"genre_scores_gemma":[0.99553734,0.00015401935,0.0041328315,0.0000128363035,0.000014597574,0.00001788517,0.00008951523,0.000010541098,0.00003041113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999361,0.00007753157,0.00022158478,0.00009199031,0.00010938428,0.0001385051],"domain_scores_gemma":[0.99869895,0.00028670885,0.00005424065,0.00086576695,0.00006570133,0.000028645763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018939696,0.000079555655,0.00019956482,0.00019530892,0.000059380855,0.000013747941,0.00036266833,0.000053460888,0.000019191884],"category_scores_gemma":[0.000015509358,0.0000770002,0.000046186666,0.0016448407,0.00005899404,0.00009588962,0.000057560173,0.00018637975,0.000009362753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093607,0.000076041215,0.46796125,0.000043417138,0.00026466866,8.5391497e-7,0.0012659269,0.52547085,0.0011289828,0.0017584964,0.000053813004,0.00196637],"study_design_scores_gemma":[0.00017321987,0.00001827789,0.5609957,0.00008761719,0.000116519586,0.0000019039812,0.00027940003,0.43734837,0.00013544345,0.000028725213,0.0006997798,0.00011505687],"about_ca_topic_score_codex":0.00013479375,"about_ca_topic_score_gemma":0.0029535964,"teacher_disagreement_score":0.09303446,"about_ca_system_score_codex":0.000042500065,"about_ca_system_score_gemma":0.000017782239,"threshold_uncertainty_score":0.31399772},"labels":[],"label_agreement":null},{"id":"W2940213010","doi":"10.1049/iet-com.2018.5736","title":"Towards insider threats detection in smart grid communication systems","year":2019,"lang":"en","type":"article","venue":"IET Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Science and Technology Department of Zhejiang Province; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Computer security; Smart grid; Damages; Insider; Insider threat; Computer science; Grid; Risk analysis (engineering); Petri net; Communications system; Internet privacy; Business; Telecommunications; Engineering; Distributed computing","score_opus":0.01996605115449409,"score_gpt":0.24888745000169624,"score_spread":0.22892139884720214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940213010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9038668,0.016598608,0.0009983828,0.000929479,0.0016363455,0.00097138394,0.000023348613,0.0006730234,0.0743026],"genre_scores_gemma":[0.9953727,0.003780033,0.00051907677,0.00003376999,0.000028788767,0.00010721507,0.000044060595,0.000020453755,0.000093877956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916965,0.00013972085,0.0002775454,0.000114414535,0.00012500159,0.00017365655],"domain_scores_gemma":[0.99765027,0.0001488989,0.000037375605,0.0020659699,0.000054305732,0.000043157157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002599385,0.00011360561,0.00015582291,0.00013948216,0.0001255766,0.00005506942,0.00079315895,0.00011265631,0.000020599993],"category_scores_gemma":[0.0000226957,0.00012021984,0.000040929248,0.00039822725,0.00007257166,0.00026134576,0.0001795526,0.00040299192,0.00026561166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010015899,0.0016676625,0.13318568,0.001243408,0.00052529667,0.000009676275,0.0388753,0.54447305,0.053314768,0.10616308,0.009007425,0.11143451],"study_design_scores_gemma":[0.0012366766,0.00007932055,0.15713863,0.00050467846,0.000034683093,0.000051099694,0.0026129007,0.70424247,0.0037771515,0.0022837983,0.1271727,0.00086587114],"about_ca_topic_score_codex":0.0005105937,"about_ca_topic_score_gemma":0.0021470534,"teacher_disagreement_score":0.15976946,"about_ca_system_score_codex":0.00012413057,"about_ca_system_score_gemma":0.000022429364,"threshold_uncertainty_score":0.49024227},"labels":[],"label_agreement":null},{"id":"W2942316353","doi":"10.1109/msp.2018.2877001","title":"Intelligent Signal Processing and Coordination for the Adaptive Smart Grid: An Overview of Data-Driven Grid Management","year":2019,"lang":"en","type":"article","venue":"IEEE Signal Processing Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Computer science; Context (archaeology); Signal processing; Grid; Distributed computing; Embedded system; Analytics; Real-time computing; Electrical engineering; Engineering; Computer hardware; Digital signal processing; Data science","score_opus":0.057371783805913686,"score_gpt":0.29367047786329803,"score_spread":0.23629869405738435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942316353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093618296,0.0378153,0.85874677,0.0004908256,0.0016636829,0.0039355396,0.0003633843,0.0005642215,0.002801984],"genre_scores_gemma":[0.99517465,0.00040037866,0.0036616626,0.0000656121,0.00037045794,0.000039886683,0.000075046024,0.00004251574,0.00016980221],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985816,0.000031701307,0.00036972755,0.00040038678,0.00032184075,0.00029476848],"domain_scores_gemma":[0.99925697,0.00010399218,0.00013070373,0.00028348618,0.00015108995,0.00007373242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042262554,0.00023313524,0.0002736402,0.00010637732,0.00016729569,0.00011412999,0.00049230433,0.00007410545,0.00003415974],"category_scores_gemma":[0.0000044799945,0.00017808551,0.000040709172,0.00029393882,0.00012284737,0.00083574734,0.000097863805,0.00018621085,0.000013316772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023247722,0.0001956631,0.0002720576,0.0064005516,0.0001742215,0.000008158271,0.0016648361,0.1459206,0.014036043,0.00046090255,0.0036859359,0.8269485],"study_design_scores_gemma":[0.00045723518,0.00019681446,0.0008847234,0.00063652796,0.00012236238,0.000011574207,0.00037116773,0.9809853,0.0026909462,0.00026487315,0.01309557,0.00028289412],"about_ca_topic_score_codex":0.0000068754375,"about_ca_topic_score_gemma":0.00002525789,"teacher_disagreement_score":0.9015563,"about_ca_system_score_codex":0.00003932966,"about_ca_system_score_gemma":0.00005351065,"threshold_uncertainty_score":0.72621167},"labels":[],"label_agreement":null},{"id":"W2942645844","doi":"10.1109/latw.2019.8704633","title":"Reliability Analysis of TSN Networks Under SEU Induced Soft Error Using Model Checking","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Soft error; Reliability (semiconductor); Reliability engineering; Computer science; Single event upset; Model checking; Embedded system; Programming language; Engineering; Electronic engineering; Computer hardware; Physics","score_opus":0.025236610478656576,"score_gpt":0.25405332398504815,"score_spread":0.22881671350639157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942645844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.777862,0.00004300352,0.2206675,0.0000067608325,0.00017666092,0.00007885185,0.0000014435466,0.000090495465,0.0010732668],"genre_scores_gemma":[0.99800575,0.000005821169,0.0018502909,0.000039839437,0.000027568725,0.00000126591,0.0000037745067,0.000014255237,0.000051427804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991321,0.000017024591,0.00025973655,0.00019876407,0.00016333749,0.000229063],"domain_scores_gemma":[0.9994401,0.000058946618,0.00003606892,0.00036170616,0.000049572205,0.000053640357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211826,0.000121502664,0.00029925405,0.00014589928,0.000032904747,0.000013878833,0.00014563315,0.00014368215,0.00010826498],"category_scores_gemma":[0.000014154717,0.00010802833,0.00014732893,0.0007683428,0.000025803494,0.00014725837,0.000045967125,0.00018593567,0.0000048381153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035436783,0.0000141837,0.005234952,0.000029006134,0.00014679562,1.9145936e-7,0.00018888766,0.98510873,0.009031446,0.000172892,0.000009811211,0.000059584163],"study_design_scores_gemma":[0.00008821746,0.0000059831577,0.009444527,0.0000139882195,0.00015606699,3.43452e-7,0.00011671911,0.9885165,0.0014311769,0.00008209957,0.0000046311447,0.00013971202],"about_ca_topic_score_codex":0.00010519628,"about_ca_topic_score_gemma":0.000059752667,"teacher_disagreement_score":0.22014374,"about_ca_system_score_codex":0.000059951948,"about_ca_system_score_gemma":0.000020978992,"threshold_uncertainty_score":0.44052678},"labels":[],"label_agreement":null},{"id":"W2947273669","doi":"10.1109/tii.2019.2919202","title":"A Novel Distributed and Stealthy Attack on Active Distribution Networks and a Mitigation Strategy","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Countermeasure; Stackelberg competition; Computer science; Computer security; Key (lock); Botnet; Cyber-attack; Convergence (economics); Cyber-physical system; Attack surface; Distributed computing; Critical infrastructure; Computer network; The Internet; Engineering","score_opus":0.028310309913549613,"score_gpt":0.2402282996149811,"score_spread":0.2119179897014315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947273669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6961672,0.000009347156,0.3017717,0.000039496383,0.0007736846,0.000410039,0.0005644973,0.00010525364,0.00015881058],"genre_scores_gemma":[0.99958867,0.00010445502,0.00003621572,0.00003410621,0.0000823144,0.000018827479,0.00010903243,0.000011083152,0.000015299594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991426,0.000017991864,0.00033861212,0.00009941113,0.00016891418,0.00023248408],"domain_scores_gemma":[0.999491,0.00014572905,0.00006619381,0.00013866877,0.0000351767,0.00012325811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010661481,0.00017876271,0.00018331232,0.000071185634,0.0001448195,0.00008414193,0.00006135095,0.00029980586,0.0000151422],"category_scores_gemma":[0.000006511154,0.00017137597,0.00003516616,0.00023999756,0.0000650552,0.0004028939,0.0000013361843,0.0006295833,0.000015633332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013749787,0.000051758092,0.000023060908,0.000052291187,0.000048735077,3.5593445e-7,0.00047299077,0.98420113,0.000083190745,0.00012289708,0.0003503987,0.014455697],"study_design_scores_gemma":[0.0025053022,0.00053973444,0.00086110685,0.00018446341,0.000047140686,0.00002063724,0.0012892048,0.9885833,0.0042685014,0.000013980675,0.0013384576,0.0003481642],"about_ca_topic_score_codex":0.000014682732,"about_ca_topic_score_gemma":0.000013694204,"teacher_disagreement_score":0.3034215,"about_ca_system_score_codex":0.0001083861,"about_ca_system_score_gemma":0.00003075366,"threshold_uncertainty_score":0.6988509},"labels":[],"label_agreement":null},{"id":"W2948743103","doi":"10.1109/lcsys.2019.2920507","title":"Resilient Control for Cyber-Physical Systems Subject to Replay Attacks","year":2019,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Replay attack; Model predictive control; Controller (irrigation); Cyber-physical system; State (computer science); Control (management); Horizon; Set (abstract data type); Subject (documents); Action (physics); Bounded function; Control theory (sociology); Computer security; Artificial intelligence; Algorithm; Mathematics","score_opus":0.005788247772184108,"score_gpt":0.21189308236174853,"score_spread":0.2061048345895644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948743103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91020685,0.0006206536,0.06925297,0.00067765126,0.013502489,0.004559027,0.00017961617,0.0005006092,0.000500147],"genre_scores_gemma":[0.9956738,0.0000029434518,0.000011421468,0.0008919096,0.0021746824,0.00080670184,0.0000064968963,0.00008760621,0.00034446619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973407,0.0001566656,0.000591449,0.0005835367,0.00048140128,0.00084625516],"domain_scores_gemma":[0.99809206,0.0006648343,0.00010378765,0.0007583048,0.00010046688,0.00028056157],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054485555,0.00040981523,0.00089201925,0.0001782272,0.000112050664,0.00019251122,0.0004393643,0.00016240486,0.0000039579522],"category_scores_gemma":[0.000055248434,0.0003670888,0.00027363183,0.00020661332,0.00004235843,0.00017745489,0.000012209976,0.00026599443,0.0005284575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015623844,0.000024990268,0.0008804935,0.00041709148,0.00017964304,0.000016089058,0.00034450082,0.7275885,0.23004226,0.00027294506,0.040050123,0.000027166247],"study_design_scores_gemma":[0.007821785,0.000427404,0.0012360925,0.0005891612,0.00015311212,0.00007142766,0.0002640772,0.893368,0.0021344023,0.0000039116885,0.09271765,0.001212954],"about_ca_topic_score_codex":0.00015507531,"about_ca_topic_score_gemma":0.0000143506095,"teacher_disagreement_score":0.22790785,"about_ca_system_score_codex":0.0002397525,"about_ca_system_score_gemma":0.000025450416,"threshold_uncertainty_score":0.9998781},"labels":[],"label_agreement":null},{"id":"W2949160428","doi":"10.1109/tii.2019.2922215","title":"On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Zhejiang Province; National Key Research and Development Program of China; National Research Foundation Singapore; National Natural Science Foundation of China; Nanyang Technological University; Ministry of Education - Singapore","keywords":"Software deployment; Grid; Computer science; Power grid; State (computer science); Power (physics); Tree (set theory); Real-time computing; Distributed computing; Data mining; Reliability engineering; Engineering; Algorithm; Mathematics; Operating system","score_opus":0.12831021737089318,"score_gpt":0.29304092803134607,"score_spread":0.1647307106604529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949160428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9038711,0.000005722077,0.09348996,0.000008811956,0.0017000394,0.00042842724,0.00015168113,0.00009452951,0.00024973555],"genre_scores_gemma":[0.9991151,0.000030133491,0.00076155586,0.000027910814,0.00002518377,0.0000040203986,0.000016290709,0.000014579879,0.000005212808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988362,0.00004014027,0.00054122845,0.00013161999,0.0002685801,0.00018220996],"domain_scores_gemma":[0.99867773,0.0006301426,0.00014547387,0.00042023486,0.0000568875,0.0000695461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032173822,0.00017202667,0.00019923352,0.000246239,0.00015996219,0.00006633434,0.00014958224,0.00017653186,0.000011701748],"category_scores_gemma":[0.00010466635,0.0001671712,0.000035475638,0.00031739235,0.000046720514,0.000879907,0.0000036049703,0.0005253567,0.000024656618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008509132,0.00005492832,0.0000863771,0.000070839866,0.00003405321,1.8817933e-7,0.001447317,0.98572433,0.00020163262,0.000009458435,0.000030772426,0.012254988],"study_design_scores_gemma":[0.0011080712,0.0005783857,0.0003949124,0.0003204718,0.00005205314,0.000009864435,0.0013038984,0.9732111,0.022591066,0.000051959363,0.0001082541,0.0002699829],"about_ca_topic_score_codex":0.000035109453,"about_ca_topic_score_gemma":0.0000800999,"teacher_disagreement_score":0.09524401,"about_ca_system_score_codex":0.00012005608,"about_ca_system_score_gemma":0.000050609244,"threshold_uncertainty_score":0.68170434},"labels":[],"label_agreement":null},{"id":"W2949223464","doi":"10.1109/access.2019.2922410","title":"Cognitive Dynamic System for Control and Cyber-Attack Detection in Smart Grid","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Smart grid; Cyber-attack; Computer security; Control (management); Cyber-physical system; Cognition; Industrial control system; Control system; Embedded system; Electrical engineering; Artificial intelligence; Engineering; Operating system","score_opus":0.00898140538402286,"score_gpt":0.2542981346684891,"score_spread":0.24531672928446624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949223464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860528,0.00020237858,0.010475762,0.000009823275,0.0021675907,0.0005819894,0.000031579417,0.000102714774,0.0003753254],"genre_scores_gemma":[0.99973774,0.000021046051,0.000007931218,0.000023475706,0.0000929387,0.000079429556,0.0000031782965,0.000015247688,0.0000190288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945414,0.000016322982,0.00013185859,0.00015380193,0.00006722347,0.00017667492],"domain_scores_gemma":[0.99968773,0.0001492434,0.00002112091,0.000076823184,0.000030096104,0.000034963494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010131465,0.00009448486,0.00015272862,0.00008066594,0.0000323871,0.00005352565,0.00009650368,0.00007653619,0.0000027252984],"category_scores_gemma":[0.000012600887,0.000091311864,0.000025885543,0.00010669244,0.000018508745,0.0002647336,0.000009659547,0.00010132659,0.000022418748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023514451,0.00039536593,0.31829154,0.017728303,0.00090296793,0.00014738759,0.0061381133,0.3231193,0.19481066,0.00031960802,0.0015461689,0.13424914],"study_design_scores_gemma":[0.003777583,0.00010450478,0.09121305,0.0004163637,0.000038831695,0.000028718903,0.00033410345,0.87793595,0.025207967,0.000029945666,0.00052474457,0.00038825412],"about_ca_topic_score_codex":0.000042851636,"about_ca_topic_score_gemma":0.00054175407,"teacher_disagreement_score":0.5548166,"about_ca_system_score_codex":0.000053530362,"about_ca_system_score_gemma":0.000006358178,"threshold_uncertainty_score":0.37235898},"labels":[],"label_agreement":null},{"id":"W2949295428","doi":"","title":"Privacy-Optimal Strategies for Smart Metering Systems with a Rechargeable Battery","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Computer science; Markov decision process; Mutual information; Battery (electricity); Metering mode; Private information retrieval; Load profile; Markov process; Metric (unit); Inference; Demand response; Smart grid; Process (computing); Mathematical optimization; Power (physics); Computer security; Engineering; Artificial intelligence; Electrical engineering; Electricity; Mathematics","score_opus":0.0778056945144661,"score_gpt":0.18056059791526996,"score_spread":0.10275490340080386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949295428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72730935,0.0002662136,0.26837963,0.000007470073,0.0012080888,0.00057775516,0.00006576232,0.00046269692,0.0017230288],"genre_scores_gemma":[0.9982207,0.000113660935,0.0008270914,0.000007619024,0.00019043291,0.000011471196,0.000039444545,0.000058532703,0.0005310566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862385,0.000041958134,0.0001896628,0.0006018741,0.00008862735,0.0004540274],"domain_scores_gemma":[0.9988722,0.00007894276,0.000089646746,0.00063470093,0.00014757908,0.00017691254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023682472,0.00037626343,0.00043691878,0.0001934311,0.000103071616,0.00018004983,0.00061626505,0.00031708975,0.00001118093],"category_scores_gemma":[0.00001407354,0.00038496696,0.00012079015,0.00022000214,0.00008431552,0.00037218828,0.0003025369,0.00048482686,0.00002506093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007988863,0.000020376425,0.00031479777,0.00086214725,0.00017338939,0.000095988995,0.00040347534,0.99434835,0.00012027191,0.0024166883,0.0011554183,0.000009206429],"study_design_scores_gemma":[0.000644486,0.00013039398,0.00005799563,0.0004619249,0.00015994681,0.00001978813,0.0016331353,0.9904123,0.0002344035,0.0015498422,0.0039638076,0.000731973],"about_ca_topic_score_codex":0.000111041074,"about_ca_topic_score_gemma":0.00003933224,"teacher_disagreement_score":0.27091134,"about_ca_system_score_codex":0.0002382925,"about_ca_system_score_gemma":0.00020189768,"threshold_uncertainty_score":0.9998602},"labels":[],"label_agreement":null},{"id":"W2952549302","doi":"10.23977/isspj.2019.41002","title":"Dynamic Integrity Measurement Scheme of Smart Meter Based on Trusted Computing","year":2019,"lang":"en","type":"article","venue":"Information Systems and Signal Processing Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smart meter; Computer science; Scheme (mathematics); Embedded system; Software; Smart grid; Trusted Computing; Computer security; Buffer overflow; Process (computing); Cyber-physical system; Data integrity; Real-time computing; Computer network; Engineering; Operating system; Electrical engineering","score_opus":0.014015094223246902,"score_gpt":0.21793426132278107,"score_spread":0.20391916709953417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952549302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8530608,0.00072092004,0.14350666,0.000026046628,0.00059421436,0.00019049917,0.0000035731744,0.000063993626,0.0018333327],"genre_scores_gemma":[0.9993202,0.0000069836506,0.00059740065,0.00003332981,0.00003054916,0.0000011057859,0.0000015825308,0.00000545605,0.0000033879237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987841,0.000032051805,0.0005003635,0.000050726074,0.0004921408,0.00014061148],"domain_scores_gemma":[0.9993911,0.000026788695,0.00018944411,0.000057673777,0.0002702351,0.000064783366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092199945,0.000107363325,0.00018615366,0.00017807871,0.00010875455,0.00020132944,0.00008428774,0.00007204101,0.0000106262405],"category_scores_gemma":[0.00001637676,0.00008289462,0.00003928381,0.00012349301,0.000021090185,0.00064703857,0.000008394443,0.0003448842,0.000009831013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026449253,0.00007706613,0.00814403,0.0068268618,0.00012686456,0.0000044412523,0.0073825307,0.8727741,0.01521402,0.00024398076,0.00040128428,0.0885403],"study_design_scores_gemma":[0.00049410644,0.00009257587,0.00094914285,0.0010961401,0.000005777339,0.000048419126,0.0006755324,0.99538535,0.0005348737,0.0000057091083,0.0006066576,0.00010570232],"about_ca_topic_score_codex":0.000003248409,"about_ca_topic_score_gemma":4.7570546e-7,"teacher_disagreement_score":0.14625944,"about_ca_system_score_codex":0.00007831761,"about_ca_system_score_gemma":0.000064083855,"threshold_uncertainty_score":0.33803445},"labels":[],"label_agreement":null},{"id":"W2952577691","doi":"","title":"Differentially Private MIMO Filtering for Event Streams and Spatio-Temporal Monitoring","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Occupancy; Differential privacy; Real-time computing; MIMO; Construct (python library); Event (particle physics); Data stream mining; Building automation; Forcing (mathematics); Data mining; Computer network; Engineering","score_opus":0.03430194765986039,"score_gpt":0.17990733679251367,"score_spread":0.14560538913265328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952577691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83128035,0.00009790826,0.16670404,0.000006915207,0.0012880828,0.00029787107,0.000029631397,0.00020594453,0.000089280955],"genre_scores_gemma":[0.99847484,0.00035854438,0.00056116,0.0000031554996,0.00036296167,0.0000036766803,0.000046045934,0.000039184793,0.00015042412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989007,0.000028314502,0.00018345099,0.00050805893,0.000060020106,0.00031942432],"domain_scores_gemma":[0.9992773,0.00006894932,0.000081398735,0.00038907313,0.000040786577,0.00014249083],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009530335,0.00030607678,0.0003116537,0.00012816512,0.00011968021,0.00006930718,0.00034885065,0.00024944078,0.000011416883],"category_scores_gemma":[0.000015820664,0.00035593688,0.00013842355,0.00008294075,0.00006151671,0.000110361754,0.00038899083,0.00034237688,0.0000057919583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060002774,0.000039932173,0.03241445,0.001178116,0.0001750689,0.00003791147,0.00030638342,0.9616196,0.0006817907,0.0020439622,0.00008568577,0.0013570901],"study_design_scores_gemma":[0.00087403395,0.00007579158,0.013485246,0.00058997347,0.00015595117,0.0000032165601,0.0000803719,0.9718433,0.005395999,0.004536125,0.002108007,0.0008519691],"about_ca_topic_score_codex":0.000052465435,"about_ca_topic_score_gemma":0.000055790842,"teacher_disagreement_score":0.16719453,"about_ca_system_score_codex":0.00009982953,"about_ca_system_score_gemma":0.000020138626,"threshold_uncertainty_score":0.99988925},"labels":[],"label_agreement":null},{"id":"W2954155127","doi":"10.1109/sege.2019.8859946","title":"Smart Grid Cyber Attacks Detection Using Supervised Learning and Heuristic Feature Selection","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Heuristic; Computer science; Feature selection; Machine learning; Artificial intelligence; Feature (linguistics); Data mining; Grid; Smart grid; Supervised learning; Selection (genetic algorithm); Pattern recognition (psychology); Engineering; Artificial neural network; Mathematics","score_opus":0.009941455604182492,"score_gpt":0.2278778356364674,"score_spread":0.2179363800322849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954155127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96566427,0.00089941645,0.026998274,0.000021089978,0.0037508819,0.00033410947,0.000004928551,0.00060197926,0.0017250628],"genre_scores_gemma":[0.99726224,0.00040287315,0.0009429981,0.000015933212,0.00063755125,0.000010544995,0.000026315633,0.00005620596,0.00064533745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988815,0.00005897777,0.00018166758,0.0004072215,0.00018184891,0.0002887865],"domain_scores_gemma":[0.99960047,0.00005799063,0.000041732255,0.00015865493,0.00006133305,0.00007980865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014073776,0.0003059463,0.00029243232,0.00016355909,0.00015760322,0.00013561574,0.000094319694,0.00056930387,0.000073510935],"category_scores_gemma":[0.000035201356,0.0003034496,0.00008194025,0.00013137258,0.000031728825,0.00010650462,0.00015140562,0.001542884,0.000035249654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024409244,0.00001669556,0.024572572,0.0012542949,0.0001215467,0.0000069774355,0.00053953996,0.9468428,0.023192534,0.000008905162,0.0006010069,0.0028187237],"study_design_scores_gemma":[0.00020661738,0.00003233878,0.0087417355,0.00016792708,0.00006714889,0.00007209063,0.000085117,0.978207,0.0062502064,0.000029325203,0.0056583746,0.00048210364],"about_ca_topic_score_codex":0.000141511,"about_ca_topic_score_gemma":0.00016389007,"teacher_disagreement_score":0.031597983,"about_ca_system_score_codex":0.0001350216,"about_ca_system_score_gemma":0.000030480573,"threshold_uncertainty_score":0.99994177},"labels":[],"label_agreement":null},{"id":"W2954373347","doi":"10.1109/icit.2019.8755085","title":"Building a Curriculum for Industrial Network Security","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Curriculum; Set (abstract data type); Order (exchange); Key (lock); Engineering management; Network security; Information security; Computer science; Computer security; Control (management); Training (meteorology); Industrial control system; Knowledge management; Business; Engineering; Artificial intelligence; Finance; Pedagogy","score_opus":0.008493031313044682,"score_gpt":0.2141904813014985,"score_spread":0.20569744998845382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954373347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98022294,0.00018263765,0.007927342,0.000043362583,0.0036224546,0.00043388706,0.0000039625015,0.00033690067,0.007226487],"genre_scores_gemma":[0.9965042,0.000011479996,0.0021036493,0.00004399057,0.0011991106,0.000019306848,0.000002698745,0.000014047315,0.00010152046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938613,0.000007234116,0.00011695679,0.00012447675,0.00008219141,0.00028300635],"domain_scores_gemma":[0.99972975,0.00006190198,0.000010915311,0.00012598395,0.000016353264,0.000055076565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012951234,0.000090323985,0.00012042204,0.000023203002,0.0000416658,0.000026028527,0.00012275805,0.00011222677,0.00013366483],"category_scores_gemma":[0.000018083449,0.00007915184,0.00005990522,0.00014574087,0.000010900105,0.00009480482,0.00002385832,0.00014781945,0.000062250096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045260007,0.00010199178,0.054224003,0.0003234414,0.00014719449,0.0000052509586,0.00060934335,0.40768075,0.0025375006,0.1740755,0.3535434,0.006706364],"study_design_scores_gemma":[0.0013567474,0.00010045281,0.0003751626,0.00008550477,0.000017709177,0.000007684169,0.00012332447,0.56885684,0.003191471,0.0063729524,0.41901875,0.00049340766],"about_ca_topic_score_codex":0.000012352959,"about_ca_topic_score_gemma":0.000011696241,"teacher_disagreement_score":0.16770256,"about_ca_system_score_codex":0.00002146665,"about_ca_system_score_gemma":0.000009641434,"threshold_uncertainty_score":0.32277185},"labels":[],"label_agreement":null},{"id":"W2954389172","doi":"10.1109/tpwrs.2019.2924441","title":"Cyber-Physical Attacks Targeting Communication-Assisted Protection Schemes","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer security; Cyber-physical system; Vulnerability (computing); Vulnerability assessment; Computer science; Smart grid; Electric power system; Denial-of-service attack; Power-system protection; Telecommunications network; Grid; Telecommunications; Engineering; Power (physics); The Internet; Electrical engineering","score_opus":0.009818688240305337,"score_gpt":0.21814471520573817,"score_spread":0.20832602696543284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954389172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5070098,0.00028121367,0.48485556,0.00005100365,0.0033390515,0.0006763544,0.00001540697,0.0006142073,0.0031573896],"genre_scores_gemma":[0.9990675,0.000023773997,0.00008305077,0.000010147141,0.000028625202,0.00013023669,0.0000031109773,0.000034805194,0.00061875465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901646,0.00007551494,0.0002455823,0.00020041094,0.00023465777,0.00022737891],"domain_scores_gemma":[0.99930793,0.000072524475,0.00004122251,0.0004509788,0.00005756828,0.00006977467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013276475,0.00017315839,0.00020874565,0.00010721404,0.00018120673,0.000070113005,0.00019902691,0.0001223287,0.000055516164],"category_scores_gemma":[0.0000023270966,0.00016585289,0.00010778421,0.00027321352,0.00003771723,0.00022150997,0.0000011391231,0.0004293324,0.00059584534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007794953,0.00061815453,0.00016958655,0.00069831294,0.00037837622,0.0000062935346,0.0056296876,0.8610656,0.1256347,0.00057862914,0.0021886912,0.0029539876],"study_design_scores_gemma":[0.0015850808,0.00037572687,0.0008255013,0.00090182025,0.00007954936,0.00009157229,0.0027215797,0.7667255,0.10079384,0.000019011419,0.124522135,0.0013586878],"about_ca_topic_score_codex":0.00008481326,"about_ca_topic_score_gemma":0.000015492004,"teacher_disagreement_score":0.49205768,"about_ca_system_score_codex":0.00009891542,"about_ca_system_score_gemma":0.000015510044,"threshold_uncertainty_score":0.76585853},"labels":[],"label_agreement":null},{"id":"W2955694650","doi":"10.18280/rces.060105","title":"Study of Two Kinds of Analysis Methods of Intrusion Tolerance System State Transition Model","year":2019,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Intrusion tolerance; State (computer science); Intrusion; Intrusion detection system; Automaton; Cellular automaton; Network security; Markov chain; Distributed computing; Computer security; Theoretical computer science; Artificial intelligence; Machine learning; Algorithm; Geology","score_opus":0.014774939394304638,"score_gpt":0.3045796838136918,"score_spread":0.2898047444193872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955694650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5652671,0.04758943,0.38659817,0.0000025216696,0.0001986258,0.00029060763,0.0000072058515,0.000035229823,0.000011106248],"genre_scores_gemma":[0.9587434,0.013560054,0.027653642,0.0000028745555,0.000017092972,0.00000920969,0.0000013440088,0.000011511124,8.513794e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986834,0.00006350886,0.0007758714,0.00014037165,0.00022464345,0.000112205926],"domain_scores_gemma":[0.9992089,0.0001253147,0.0001631766,0.00029672013,0.00018628442,0.000019552692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052292127,0.00016132176,0.0012736847,0.00021037646,0.000008593282,0.0000014528655,0.00016025353,0.000022236432,9.604614e-7],"category_scores_gemma":[0.000009061949,0.00013706871,0.00019678632,0.00068674993,0.000021553606,0.0000637836,0.00005058878,0.00007858403,2.5925175e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002951952,0.000045378492,0.0001538537,0.039349552,0.0009262317,4.947323e-7,0.0026571532,0.9535959,0.00150878,0.000070012095,0.0000052459386,0.0016844474],"study_design_scores_gemma":[0.00027174983,0.00011995866,0.0009860697,0.008261687,0.0004766252,0.0000010076261,0.00012487773,0.9854431,0.0041860333,0.0000032460187,0.000008648043,0.000116967145],"about_ca_topic_score_codex":0.0000068747095,"about_ca_topic_score_gemma":0.0000014710503,"teacher_disagreement_score":0.3934763,"about_ca_system_score_codex":0.000023126762,"about_ca_system_score_gemma":0.0000061112405,"threshold_uncertainty_score":0.55894995},"labels":[],"label_agreement":null},{"id":"W2955810727","doi":"10.1109/access.2019.2926441","title":"A Survey of Security in SCADA Networks: Current Issues and Future Challenges","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Computer security; Computer science; Engineering","score_opus":0.022485041635634258,"score_gpt":0.28355487807834434,"score_spread":0.2610698364427101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955810727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91855526,0.0791256,0.000016896116,0.000051031275,0.0018289121,0.00011800628,0.0000068989366,0.00003465304,0.00026272563],"genre_scores_gemma":[0.9601585,0.03955424,0.0000033322976,0.000005609399,0.0002601177,0.000004295785,0.0000028376874,0.000009028823,0.000002029361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993938,0.000046381174,0.00014688511,0.00014573823,0.0001042834,0.00016289561],"domain_scores_gemma":[0.9996817,0.00006728765,0.000023090945,0.00016242155,0.000028195938,0.000037272795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022214088,0.00009980942,0.00019289933,0.000059652015,0.000011337774,0.000023391924,0.0002195065,0.000078423574,0.000015109662],"category_scores_gemma":[0.0000069403645,0.00008959707,0.000016246935,0.0001783441,0.000027295666,0.00023250747,0.00004089612,0.00018558871,0.0000035940996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062425715,0.00018577505,0.86754113,0.0022369488,0.000056376186,0.000010351225,0.006225806,0.052836604,0.00012284727,0.00040194215,0.0026045886,0.0677152],"study_design_scores_gemma":[0.0003060454,0.000021987787,0.9467088,0.00014838629,0.0000033541019,0.0000015775087,0.00011110473,0.047372237,0.0006616696,0.000133452,0.0043288,0.00020259515],"about_ca_topic_score_codex":0.00028656318,"about_ca_topic_score_gemma":0.0022034156,"teacher_disagreement_score":0.07916766,"about_ca_system_score_codex":0.0000100151765,"about_ca_system_score_gemma":0.0000068861104,"threshold_uncertainty_score":0.36536625},"labels":[],"label_agreement":null},{"id":"W2956038886","doi":"10.23977/acss.2019.31002","title":"Research on WSN Secure Communication Method Based on Digital Watermark for the Monitoring of Electric Transmission Lines","year":2019,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Wireless sensor network; Electric power transmission; Transmission (telecommunications); Overhead (engineering); Data transmission; Authentication (law); Key distribution in wireless sensor networks; Real-time computing; Sensor node; Node (physics); Computer network; Wireless; Embedded system; Electrical engineering; Engineering; Telecommunications; Wireless network; Computer security","score_opus":0.026938560332994695,"score_gpt":0.3310413617114735,"score_spread":0.30410280137847884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956038886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41418248,0.02398155,0.55918056,0.000092522336,0.0010815561,0.0011231566,0.000009921552,0.000053007447,0.00029523007],"genre_scores_gemma":[0.9973902,0.0010718701,0.0013376896,0.0000052813275,0.00013603322,0.000038003873,0.0000025429752,0.00000992131,0.000008449436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991889,0.000116100855,0.00020418348,0.00013491079,0.00019645487,0.00015944018],"domain_scores_gemma":[0.9976874,0.001990656,0.00002786984,0.00021643908,0.000053563683,0.000024057112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006797641,0.00008664846,0.00016342172,0.000113599024,0.000070543036,0.00005718588,0.00021147133,0.0000520999,5.9855563e-7],"category_scores_gemma":[0.000005779991,0.000054738168,0.000031993975,0.00019500265,0.000017942084,0.00014744348,0.000014059988,0.00017834133,0.0000010404418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053195774,0.00002246838,0.0011097967,0.00038400464,0.0000063015023,3.5942224e-7,0.000298252,0.9518767,0.0010637083,0.00014059975,0.00002468117,0.04501996],"study_design_scores_gemma":[0.0002640627,0.0002186231,0.00053302496,0.0007327175,0.0000016768959,0.0000010650527,0.00008865998,0.9882831,0.005706444,0.00008605022,0.0040123076,0.00007227996],"about_ca_topic_score_codex":0.0000061028327,"about_ca_topic_score_gemma":5.055313e-7,"teacher_disagreement_score":0.5832077,"about_ca_system_score_codex":0.000016522145,"about_ca_system_score_gemma":0.0000070103874,"threshold_uncertainty_score":0.22321577},"labels":[],"label_agreement":null},{"id":"W2957231479","doi":"10.1109/icc.2019.8761752","title":"Fog-Based Distributed Intrusion Detection System Against False Metering Attacks in Smart Grid","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Smart grid; Metering mode; Intrusion detection system; Smart meter; Distributed computing; Grid; Markov process; Process (computing); Markov chain; Real-time computing; Computer network; Computer security; Engineering","score_opus":0.009971348625046918,"score_gpt":0.21058197975302273,"score_spread":0.2006106311279758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957231479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82043755,0.00027280158,0.1686373,0.00001998572,0.007802396,0.000708337,0.00010910038,0.0010040898,0.001008436],"genre_scores_gemma":[0.99880964,0.00007193558,0.0003636384,0.000021656944,0.00028949458,0.00009309734,0.00028055458,0.000055469874,0.000014525092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810815,0.00008222392,0.00056416,0.0005227285,0.00029223083,0.0004305066],"domain_scores_gemma":[0.99902296,0.00009403197,0.00008650443,0.0006382673,0.00005232191,0.00010592763],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033509807,0.00042304257,0.0005329563,0.00033802737,0.000063398926,0.000105868676,0.00036259613,0.0005990018,0.000015119409],"category_scores_gemma":[0.000042052456,0.0004095346,0.000173971,0.0002801477,0.00002882423,0.000101727936,0.00031698085,0.0009800612,0.00009718083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025829637,0.000023303208,0.001536639,0.0023067314,0.000032386044,0.000030603656,0.000083925464,0.98522544,0.008786275,0.000008472732,0.00014022033,0.0018001462],"study_design_scores_gemma":[0.00046963533,0.00002745779,0.00458047,0.0012639264,0.000021763452,0.0000056902973,0.00013569176,0.94977903,0.041469943,0.00000754069,0.0016419836,0.00059687614],"about_ca_topic_score_codex":0.00019841542,"about_ca_topic_score_gemma":0.0006033322,"teacher_disagreement_score":0.17837207,"about_ca_system_score_codex":0.0006761793,"about_ca_system_score_gemma":0.00004922903,"threshold_uncertainty_score":0.99983567},"labels":[],"label_agreement":null},{"id":"W2957762103","doi":"10.18280/ejee.210103","title":"A Novel Invulnerability Index for Invulnerability Assessment of Complex Power Network","year":2019,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Power (physics); Psychology; Computer science; World Wide Web","score_opus":0.011644587337726617,"score_gpt":0.2290200312968157,"score_spread":0.2173754439590891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957762103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6648139,0.00022754139,0.33307043,0.000028923409,0.0006925643,0.00021577057,0.0000051616344,0.00005464554,0.00089109445],"genre_scores_gemma":[0.98627627,0.0000139278045,0.013347232,0.000027724163,0.0002827849,0.0000018264222,0.0000015642061,0.000043617976,0.0000050455897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828035,0.00008643346,0.00078688806,0.00015836896,0.00030300056,0.0003849794],"domain_scores_gemma":[0.9988753,0.0003939845,0.00015189768,0.00023912014,0.00018221136,0.0001574874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016263229,0.00019715495,0.0004612451,0.00013745765,0.00003393531,0.000023198003,0.00035428154,0.00004873702,0.000059875794],"category_scores_gemma":[0.00025944016,0.00017636194,0.00022777208,0.00044078464,0.000029395396,0.00014423381,0.000041186817,0.0006566492,0.0000024755907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003867469,0.000098429555,0.004419537,0.00014465053,0.00008951857,0.0000054686307,0.00007445079,0.9458951,0.046709497,0.00071416626,0.00044051433,0.0013699927],"study_design_scores_gemma":[0.0011425357,0.0005678918,0.1957334,0.00008841161,0.000021064183,0.000049262042,0.000008876746,0.7960946,0.00080298044,0.000042997337,0.0051975464,0.0002504353],"about_ca_topic_score_codex":8.0661556e-7,"about_ca_topic_score_gemma":3.4613092e-7,"teacher_disagreement_score":0.32146242,"about_ca_system_score_codex":0.00012672688,"about_ca_system_score_gemma":0.000047790196,"threshold_uncertainty_score":0.7191831},"labels":[],"label_agreement":null},{"id":"W2963261445","doi":"10.3390/electronics8080822","title":"Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Embedded system; Modbus; Supervisory control; Arduino; Controller (irrigation); Instrumentation (computer programming); Computer science; Engineering; Computer hardware; Communications protocol; Operating system; Electrical engineering; Control (management)","score_opus":0.012092619447184611,"score_gpt":0.2188984033891824,"score_spread":0.20680578394199778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963261445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9161101,0.00917958,0.07227355,0.000026124713,0.00046885578,0.00085601956,0.0000019831296,0.0003744971,0.00070926466],"genre_scores_gemma":[0.997148,0.00012970141,0.0023722283,0.000100191915,0.0000969878,0.000012620131,0.000002738395,0.000057274403,0.0000803026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987217,0.00007170531,0.0001965292,0.00027483923,0.0001985342,0.0005366488],"domain_scores_gemma":[0.99940443,0.00013272604,0.000045556848,0.0002999678,0.000026617885,0.00009071394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050968956,0.00020173944,0.00024792072,0.00007186289,0.00017643008,0.00023299026,0.00040853713,0.00013554755,0.00001196213],"category_scores_gemma":[0.000018709909,0.00019467017,0.000040090054,0.00020360398,0.000024638382,0.00021165577,0.00008632608,0.00040791847,0.000037337413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066838016,0.00003182268,0.0007490716,0.00045166077,0.00006082189,0.000012833299,0.0010715192,0.9563839,0.035630394,0.0007612249,0.00041104312,0.0043689],"study_design_scores_gemma":[0.0006192153,0.00006524683,0.000052865602,0.0002691296,0.000015411648,0.000032775388,0.00015632316,0.92194355,0.06693932,0.00002648198,0.0095460825,0.000333582],"about_ca_topic_score_codex":0.000029933813,"about_ca_topic_score_gemma":0.000013729436,"teacher_disagreement_score":0.081037834,"about_ca_system_score_codex":0.00027180795,"about_ca_system_score_gemma":0.00015344116,"threshold_uncertainty_score":0.7938419},"labels":[],"label_agreement":null},{"id":"W2963507289","doi":"10.1109/globecom38437.2019.9013270","title":"LiSA: A Lightweight and Secure Authentication Mechanism for Smart Metering Infrastructure","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Elliptic curve cryptography; Authentication (law); Computer security; Mutual authentication; Session key; Computer network; Cryptography; Public-key cryptography; Encryption","score_opus":0.007572340679092599,"score_gpt":0.21153603010517535,"score_spread":0.20396368942608276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963507289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50948983,0.0011864838,0.4727504,0.00037249687,0.0078971265,0.002126019,0.00016035604,0.0009255763,0.0050917068],"genre_scores_gemma":[0.9845574,0.00043911376,0.013555054,0.0000724537,0.0003475565,0.00013213111,0.00007715263,0.000059812708,0.00075934286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990019,0.000011854552,0.00023154326,0.00037122515,0.0001355614,0.00024788905],"domain_scores_gemma":[0.9993774,0.000058600785,0.00004729578,0.0003742997,0.00006302054,0.000079366204],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009448996,0.00028687585,0.00030162424,0.00011483548,0.000060237056,0.00011235206,0.00022741599,0.0004743304,0.00008426836],"category_scores_gemma":[0.000025681473,0.00025066437,0.000095948264,0.000052769905,0.000023886454,0.00008917911,0.00024886863,0.00040982052,0.000012100483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016181158,0.00015647862,0.0013671418,0.038630944,0.0025707784,0.000024841027,0.036178213,0.15610039,0.14479232,0.5416768,0.066946186,0.011394053],"study_design_scores_gemma":[0.0006977864,0.000083364794,0.0016131764,0.0005485337,0.00024004631,0.000033157583,0.0002525814,0.83493316,0.048642483,0.09366698,0.017940849,0.0013478978],"about_ca_topic_score_codex":0.000008137841,"about_ca_topic_score_gemma":0.000016545713,"teacher_disagreement_score":0.67883277,"about_ca_system_score_codex":0.000046730478,"about_ca_system_score_gemma":0.00002630873,"threshold_uncertainty_score":0.9999946},"labels":[],"label_agreement":null},{"id":"W2964372587","doi":"10.1109/ccaa.2018.8777580","title":"3-Dimensional Analysis of Cyber-physical Systems Attacks","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Cyber-physical system; Wireless sensor network; Cyberspace; Computer security; Taxonomy (biology); Scheme (mathematics); Node (physics); Computer network; The Internet; Engineering; World Wide Web","score_opus":0.007711639070546084,"score_gpt":0.2329852130352457,"score_spread":0.2252735739646996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964372587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98675066,0.00006493049,0.0013718171,0.000008092042,0.00035394536,0.0000329093,0.0000061513474,0.00008537852,0.01132613],"genre_scores_gemma":[0.999499,0.0000022757895,0.00008893462,0.000010198058,0.00019015605,0.0000017576367,0.000003906314,0.000004943029,0.00019879201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952906,0.000009190069,0.00011360868,0.000087642184,0.00014939696,0.00011108372],"domain_scores_gemma":[0.99969935,0.00004646734,0.000011819263,0.00015100613,0.00004855754,0.000042815926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048338217,0.00006149508,0.00017669486,0.000110692454,0.000024364273,0.0000070817214,0.0000802828,0.000034937813,0.000107296415],"category_scores_gemma":[0.000006007554,0.000048013895,0.000082222905,0.00049438473,0.00007508771,0.0000417295,0.000017360755,0.000045128636,0.00007705643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020264124,0.00019736527,0.010834522,0.00012354508,0.002894542,0.000009418914,0.0020401631,0.8873863,0.05564334,0.01939635,0.020847555,0.0006066119],"study_design_scores_gemma":[0.00006060411,0.000029990102,0.011231615,0.00000859526,0.00015630461,0.0000012614141,0.00004806132,0.9782414,0.008610855,0.00001606393,0.0015036747,0.0000915883],"about_ca_topic_score_codex":0.000052747604,"about_ca_topic_score_gemma":0.0000378823,"teacher_disagreement_score":0.09085506,"about_ca_system_score_codex":0.000010138297,"about_ca_system_score_gemma":0.000005123168,"threshold_uncertainty_score":0.19579497},"labels":[],"label_agreement":null},{"id":"W2967164492","doi":"10.1109/isgt.2019.8791582","title":"Cyber-Physical Security of State Estimation Against Attacks on Wide-Area Load Shedding Protection Schemes","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Khalifa University of Science, Technology and Research; Utah Agricultural Experiment Station","keywords":"Load Shedding; Electric power system; Computer science; Computer security; Power-system protection; Power (physics); Engineering; Reliability engineering","score_opus":0.007276746181395733,"score_gpt":0.21836492361268164,"score_spread":0.2110881774312859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967164492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818754,0.000017461174,0.009832714,0.000032792428,0.00027394173,0.00032874817,0.0000043076807,0.00022507028,0.007409548],"genre_scores_gemma":[0.9996107,0.000014024229,0.00021005176,0.000020689522,0.000024434645,0.000013396924,0.000005102379,0.000014647109,0.0000869576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991999,0.000016200489,0.00016905901,0.00016954722,0.0002673757,0.00017790544],"domain_scores_gemma":[0.99961525,0.000059174974,0.000035643003,0.0001922573,0.000052154188,0.000045500845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010628469,0.00013151593,0.00016783513,0.0000618773,0.000036418085,0.000020381396,0.000089222965,0.00006106685,0.00003568359],"category_scores_gemma":[0.000048217695,0.00011558677,0.000058627706,0.000170231,0.000030028872,0.00022748328,0.000022345956,0.00020267455,0.00014000124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009221617,0.00025753307,0.0030501224,0.00079055934,0.00008653602,0.000004516349,0.0059585115,0.8664819,0.1010964,0.001445215,0.0008546758,0.019881833],"study_design_scores_gemma":[0.00023457839,0.0000812955,0.0011621518,0.000114697585,0.000004131572,8.7525956e-7,0.000059413793,0.83594835,0.16113432,0.00044910426,0.0006554367,0.00015566446],"about_ca_topic_score_codex":0.000028340868,"about_ca_topic_score_gemma":0.000016221979,"teacher_disagreement_score":0.060037922,"about_ca_system_score_codex":0.000087246946,"about_ca_system_score_gemma":0.00001891295,"threshold_uncertainty_score":0.47134915},"labels":[],"label_agreement":null},{"id":"W2968294662","doi":"10.23919/ecc.2019.8795990","title":"A Novel Networked Control Scheme with Safety Guarantees for Detection and Mitigation of Cyber-Attacks","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scheme (mathematics); Cyber-attack; Controller (irrigation); Computer security; Coding (social sciences); Architecture; Set (abstract data type); Computer network; Real-time computing; Embedded system","score_opus":0.0030235482355749823,"score_gpt":0.1783121006656215,"score_spread":0.1752885524300465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968294662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70754653,0.00008497503,0.2911984,0.000021249933,0.00011151892,0.00029574003,0.0000055261216,0.00005093648,0.00068510656],"genre_scores_gemma":[0.9975486,0.000015770296,0.0022935006,0.000019271904,0.00004465625,0.00001190264,0.0000021446674,0.000008333582,0.00005584724],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996511,0.0000033600934,0.00010476797,0.00008420456,0.000058428363,0.000098163364],"domain_scores_gemma":[0.99978787,0.000067616675,0.000019647001,0.00007029141,0.000034966655,0.000019633533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000680274,0.00006403466,0.00010895837,0.000025325307,0.000024180135,0.0000075152616,0.000029758497,0.000048045287,0.000010185016],"category_scores_gemma":[0.000006441126,0.00004937152,0.00001950948,0.00006290342,0.000025797037,0.00008759116,0.00000341952,0.000044141496,0.0000016359684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061432784,0.000045496276,0.008756791,0.0004686046,0.00015523526,2.818877e-7,0.000515853,0.18931293,0.79253626,0.0023941353,0.00008757364,0.005112478],"study_design_scores_gemma":[0.0025224455,0.00017402011,0.011130013,0.00007034338,0.000017133149,0.000008407286,0.00011175663,0.94085455,0.043852627,0.00003660065,0.0010860049,0.00013608087],"about_ca_topic_score_codex":0.00001232645,"about_ca_topic_score_gemma":0.000095077994,"teacher_disagreement_score":0.7515416,"about_ca_system_score_codex":0.0000089411005,"about_ca_system_score_gemma":0.0000048181196,"threshold_uncertainty_score":0.20133121},"labels":[],"label_agreement":null},{"id":"W2969159229","doi":"10.1109/isgt.2019.8791564","title":"Vulnerabilities of Line Current Differential Relays to Cyber-Attacks","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Khalifa University of Science, Technology and Research; Utah Agricultural Experiment Station","keywords":"Microgrid; Relay; Global Positioning System; Line (geometry); Protective relay; Computer science; Computer security; Differential (mechanical device); Computer network; Electrical engineering; Voltage; Telecommunications; Engineering; Power (physics); Physics; Aerospace engineering","score_opus":0.008227084287910668,"score_gpt":0.23058545815143056,"score_spread":0.2223583738635199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969159229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859519,0.00021692473,0.0042788656,0.0000385747,0.0018272682,0.0002020292,0.000008301739,0.00011808536,0.007358028],"genre_scores_gemma":[0.9989204,0.000047094556,0.00020175878,0.000012564314,0.0001348299,0.000009663718,0.0000036054678,0.00001087983,0.0006592102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939203,0.000010308984,0.00017818956,0.00011844676,0.00013670584,0.00016433706],"domain_scores_gemma":[0.9996361,0.000050692044,0.000010160613,0.00021121315,0.000027063548,0.000064729684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004524063,0.000095114854,0.00015454418,0.00005943374,0.000015066619,0.000009269129,0.00013058753,0.000043009135,0.0007945362],"category_scores_gemma":[0.000015600723,0.00007709805,0.000052435775,0.00009700293,0.000020986838,0.000055572433,0.000043498818,0.00013054507,0.0002464843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020150557,0.0010101221,0.05597215,0.004116708,0.0002761264,0.000006692803,0.023090674,0.4766537,0.23235252,0.04451006,0.05500446,0.10680527],"study_design_scores_gemma":[0.0025676703,0.0010587197,0.049158897,0.0007052116,0.0000724405,0.000013749344,0.0019942017,0.3104054,0.48287752,0.0013602008,0.14772119,0.0020648031],"about_ca_topic_score_codex":0.000014319091,"about_ca_topic_score_gemma":0.000018336115,"teacher_disagreement_score":0.250525,"about_ca_system_score_codex":0.000016759202,"about_ca_system_score_gemma":0.000007112464,"threshold_uncertainty_score":0.8699614},"labels":[],"label_agreement":null},{"id":"W2969750894","doi":"10.1109/tvt.2019.2935999","title":"Cognitive Risk Control for Anti-Jamming V2V Communications in Autonomous Vehicle Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Jamming; Reinforcement learning; Computer science; Channel (broadcasting); Wireless; Control channel; Process (computing); Cognitive network; Task (project management); Engineering; Computer network; Cognitive radio; Telecommunications; Artificial intelligence; Base station; Systems engineering","score_opus":0.006781747799344868,"score_gpt":0.22293867245531157,"score_spread":0.2161569246559667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969750894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5232403,0.0003837423,0.47471592,0.00020177702,0.00034841083,0.00059003773,0.000039597602,0.00041498078,0.00006521869],"genre_scores_gemma":[0.99858326,0.00045289623,0.0005467148,0.000056687946,0.000017025137,0.00028489542,0.0000051186034,0.00003362705,0.000019798339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903053,0.0000442989,0.00025531594,0.0002450992,0.00007305,0.00035170832],"domain_scores_gemma":[0.9990304,0.000305137,0.000041493528,0.0005304614,0.00005377289,0.00003873466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016142623,0.00016739486,0.000269104,0.00036820746,0.00016818379,0.000016147233,0.00035131007,0.00038047903,0.000014718664],"category_scores_gemma":[0.000011928461,0.00018232723,0.00010276617,0.00049697596,0.00015766661,0.000094717485,0.0000026379068,0.00079093094,0.00005995296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032067794,0.00016481812,0.0017016755,0.00002963532,0.0001156425,0.0000054470715,0.00015849595,0.96709234,0.0035843651,0.00029568395,0.000012512212,0.026807308],"study_design_scores_gemma":[0.001907761,0.00016838881,0.00089749735,0.00008765622,0.00006350578,0.000012820827,0.00033737754,0.98102576,0.013922494,0.00018398372,0.0011327772,0.00025997433],"about_ca_topic_score_codex":0.000024623763,"about_ca_topic_score_gemma":0.00018751646,"teacher_disagreement_score":0.47534293,"about_ca_system_score_codex":0.000078395824,"about_ca_system_score_gemma":0.000019736168,"threshold_uncertainty_score":0.7435089},"labels":[],"label_agreement":null},{"id":"W2970224214","doi":"10.1109/jsyst.2019.2935352","title":"Intrusion-Detector-Dependent Frequency Regulation for Microgrids Under Denial-of-Service Attacks","year":2019,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Denial-of-service attack; Microgrid; Intrusion detection system; Controller (irrigation); Detector; Computer science; Automatic frequency control; Intrusion; Computer security; Vulnerability (computing); Computer network; Control theory (sociology); Real-time computing; Control (management); Telecommunications; The Internet; Artificial intelligence","score_opus":0.011554292263161976,"score_gpt":0.22668924939605847,"score_spread":0.2151349571328965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970224214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.957173,0.0017297636,0.030685196,0.00005412985,0.009560446,0.00041117676,0.000014626675,0.000064823296,0.0003068293],"genre_scores_gemma":[0.9983124,0.000054345244,0.00033196097,0.00002184786,0.0011403487,0.000010371251,0.0000023265522,0.00003147233,0.0000949012],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875045,0.000048092028,0.0004979317,0.00013816725,0.00030153184,0.00026385518],"domain_scores_gemma":[0.99923134,0.00008728679,0.00014984071,0.0002138885,0.00021673366,0.00010090925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038653638,0.00015066209,0.0002586176,0.00013435447,0.00009573336,0.000069935035,0.00023692085,0.00016193475,0.00006138119],"category_scores_gemma":[0.000011145661,0.00013209024,0.00010255983,0.00015763982,0.000016198837,0.00020833337,0.000012441565,0.00024251468,0.0000674591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026217953,0.000019550456,0.0019188431,0.00054501306,0.00008665597,0.0000037311913,0.00047983308,0.353931,0.6414399,0.00016977802,0.0010104816,0.00036899632],"study_design_scores_gemma":[0.010568684,0.0011405047,0.03772163,0.005756246,0.00035563836,0.005384502,0.0027580252,0.55183333,0.36102262,0.007010361,0.013308663,0.003139823],"about_ca_topic_score_codex":0.000042085692,"about_ca_topic_score_gemma":0.000037091337,"teacher_disagreement_score":0.2804173,"about_ca_system_score_codex":0.00013043174,"about_ca_system_score_gemma":0.000053398184,"threshold_uncertainty_score":0.53864837},"labels":[],"label_agreement":null},{"id":"W2971466910","doi":"10.1109/access.2019.2939089","title":"Cognitive Risk Control for Mitigating Cyber-Attack in Smart Grid","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Smart grid; Computer security; Cyber-attack; Control (management); Cognition; Cognitive radio; Cyber-physical system; Telecommunications; Wireless; Artificial intelligence; Operating system; Engineering","score_opus":0.015423510847936209,"score_gpt":0.2773922380157907,"score_spread":0.2619687271678545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971466910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909968,0.0001813084,0.0039875912,0.000026671061,0.0020771127,0.0006185928,0.00010780555,0.000105203544,0.0018989631],"genre_scores_gemma":[0.99927336,0.000038906703,0.00007188117,0.00013048828,0.00032243843,0.000090704314,0.000008786276,0.000024249313,0.00003918502],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991428,0.00002859108,0.0002062728,0.00019885812,0.00011265506,0.00031080653],"domain_scores_gemma":[0.9992425,0.0004863127,0.000042047373,0.00012595352,0.00004809949,0.00005507618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018719622,0.00013187728,0.00020451649,0.000076280994,0.000049070804,0.000069566544,0.00023933688,0.00008818392,0.000038466616],"category_scores_gemma":[0.00008988177,0.00012893401,0.00006186401,0.00016531149,0.00003113161,0.00035897776,0.000016736189,0.00022032074,0.00009560504],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017484858,0.000119418626,0.7924898,0.000637528,0.00018307258,0.00002531719,0.0021446631,0.18232273,0.0046893894,0.00010289043,0.006296881,0.0108134365],"study_design_scores_gemma":[0.011211583,0.00021630421,0.3121185,0.0009163992,0.00011525435,0.0000139061885,0.00061578176,0.5934862,0.07241048,0.00080813206,0.006682883,0.0014045725],"about_ca_topic_score_codex":0.00008539422,"about_ca_topic_score_gemma":0.00025287812,"teacher_disagreement_score":0.48037133,"about_ca_system_score_codex":0.000029928082,"about_ca_system_score_gemma":0.000015123944,"threshold_uncertainty_score":0.52577764},"labels":[],"label_agreement":null},{"id":"W2971737919","doi":"10.1109/codit.2019.8820512","title":"Security Index of Linear Cyber-Physical Systems: A Geometric Perspective","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cyber-physical system; Theoretical computer science; Perspective (graphical); Representation (politics); Index (typography); Time complexity; Vulnerability (computing); Dimension (graph theory); Linear system; Polynomial; Upper and lower bounds; Algorithm; Mathematics; Computer security; Artificial intelligence","score_opus":0.004485438670488465,"score_gpt":0.2140522940828825,"score_spread":0.20956685541239406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971737919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96260756,0.0004382286,0.0009067568,0.000010844528,0.00048100503,0.00018780281,0.0000074873287,0.00014561041,0.0352147],"genre_scores_gemma":[0.99957305,0.000025474557,0.00002037248,0.0000058151772,0.00015836697,0.000004674574,9.404735e-7,0.000012330438,0.0001989642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931175,0.000015859423,0.00013283208,0.00014709057,0.000214413,0.00017803912],"domain_scores_gemma":[0.99953866,0.00008910152,0.000020714993,0.00020944752,0.00008519019,0.000056855974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007455484,0.00010487447,0.00022387905,0.00017972868,0.000017880284,0.000010008044,0.0001432306,0.00007248547,0.00006311294],"category_scores_gemma":[0.000029772667,0.000087865425,0.000072258335,0.0006371999,0.00003529124,0.000102055026,0.0000339614,0.00018174924,0.0002106464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009617802,0.0009930988,0.07336731,0.0023210659,0.0006277622,0.000033307602,0.023946855,0.7144103,0.011348612,0.16723247,0.0051489496,0.00047407488],"study_design_scores_gemma":[0.000700813,0.00018873627,0.0131082125,0.00008334357,0.000022744722,0.000016290229,0.00672205,0.96564764,0.010130668,0.00066623423,0.0022738138,0.00043948516],"about_ca_topic_score_codex":0.0002783299,"about_ca_topic_score_gemma":0.000009489047,"teacher_disagreement_score":0.25123727,"about_ca_system_score_codex":0.000061701896,"about_ca_system_score_gemma":0.000015623762,"threshold_uncertainty_score":0.3583048},"labels":[],"label_agreement":null},{"id":"W2971848306","doi":"10.1109/codit.2019.8820360","title":"A Leader-Follower Set-theoretic Approach for Cyber-Physical Systems against Denial-of-Service Attacks","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Denial-of-service attack; Computer science; Actuator; Controller (irrigation); Cyber-physical system; Set (abstract data type); Scheme (mathematics); Distributed computing; Service (business); Denial; Computer security; Electric power system; Compromise; Computer network; Power (physics); Control engineering; Engineering; The Internet; Artificial intelligence","score_opus":0.012803717412068299,"score_gpt":0.22574945284133868,"score_spread":0.2129457354292704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971848306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94766814,0.00021873493,0.02164873,0.0000442884,0.00094764103,0.0008142458,0.000019346997,0.000237893,0.028400972],"genre_scores_gemma":[0.99824756,0.000009077465,0.00078593567,0.000075874545,0.00024087765,0.00006334626,0.000022747116,0.00003834086,0.0005162457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899536,0.000021502305,0.0002236549,0.00023602198,0.00020181388,0.00032167017],"domain_scores_gemma":[0.9993482,0.00013920388,0.00003088572,0.00033655847,0.00006487258,0.00008024384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012622878,0.0001837703,0.00032869878,0.000058148562,0.000035069337,0.000030165445,0.00027196322,0.00012536725,0.00001676977],"category_scores_gemma":[0.000012380615,0.0001516455,0.00012608983,0.00021599563,0.00004518868,0.000107314256,0.000034316083,0.00014133586,0.00011791344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012435715,0.00039776164,0.002175532,0.0077152015,0.00035635103,0.00000557865,0.008893862,0.85114175,0.050639313,0.07076317,0.0071329926,0.00065414584],"study_design_scores_gemma":[0.00065667933,0.00006701197,0.00012027301,0.00007295262,0.000030296027,0.00000588125,0.0011479632,0.9888781,0.0057783686,0.00008386494,0.0028254753,0.00033314453],"about_ca_topic_score_codex":0.000022141296,"about_ca_topic_score_gemma":0.0000062071394,"teacher_disagreement_score":0.13773635,"about_ca_system_score_codex":0.000029022292,"about_ca_system_score_gemma":0.000018884113,"threshold_uncertainty_score":0.61839235},"labels":[],"label_agreement":null},{"id":"W2972226806","doi":"10.1049/iet-cps.2019.0031","title":"Relaxation‐based anomaly detection in cyber‐physical systems using ensemble kalman filter","year":2019,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Guelph","funders":"","keywords":"Kalman filter; Computer science; Artificial intelligence","score_opus":0.00835198786765418,"score_gpt":0.22488477133707624,"score_spread":0.21653278346942206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972226806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93414885,0.00021206724,0.059133593,0.00001566583,0.0006794936,0.0017259581,0.000036322694,0.00041982727,0.0036282376],"genre_scores_gemma":[0.9977161,0.000004002678,0.000056118537,0.000016426995,0.0009458648,0.00089967716,0.000032587883,0.00007701003,0.00025220102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782306,0.00022520406,0.00049850484,0.0005565757,0.00039078904,0.00050584966],"domain_scores_gemma":[0.9982837,0.00048214232,0.00015002102,0.0008287116,0.000095165546,0.0001602772],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035615117,0.00035451917,0.00052341894,0.00020677138,0.00019259466,0.0001274804,0.00036809265,0.00019825474,0.000009566641],"category_scores_gemma":[0.000020227762,0.00034378568,0.0001868665,0.00088180776,0.00010094704,0.00031455088,0.00004648962,0.00045740695,0.00071252364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004057449,0.0004593897,0.0010033802,0.0004862167,0.000086753935,0.000004277333,0.001105253,0.6287923,0.30696312,0.059674393,0.00010260609,0.0012817369],"study_design_scores_gemma":[0.00070564804,0.00008433324,0.0032175444,0.000262276,0.00007697298,0.00002245992,0.0005637642,0.97131234,0.014755603,0.0022888079,0.0059583946,0.00075185375],"about_ca_topic_score_codex":0.00031121678,"about_ca_topic_score_gemma":0.00004161405,"teacher_disagreement_score":0.34252003,"about_ca_system_score_codex":0.00032217728,"about_ca_system_score_gemma":0.000043170818,"threshold_uncertainty_score":0.9999014},"labels":[],"label_agreement":null},{"id":"W2972338638","doi":"10.1016/j.procs.2019.08.095","title":"Combined Reed-Solomon and Convolutional codes for IWSN based on IDWPT/DWPT Architecture","year":2019,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Wireless sensor network; Wireless; Flexibility (engineering); Computer science; Architecture; Software deployment; Reliability (semiconductor); Channel (broadcasting); Wireless network; Coding (social sciences); Real-time computing; Computer network; Telecommunications; Software engineering","score_opus":0.004089746449024153,"score_gpt":0.19021281168700016,"score_spread":0.186123065237976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972338638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7408098,0.00009078976,0.2560232,0.0003189155,0.0014779983,0.0005606434,0.000016811986,0.0002784148,0.00042345581],"genre_scores_gemma":[0.9827436,0.0000048741263,0.016711472,0.00033904545,0.00014470943,0.000022733484,0.000004573924,0.000009558448,0.000019429006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989038,0.0000071125164,0.0001217401,0.00035321765,0.00029250165,0.00032160172],"domain_scores_gemma":[0.99942625,0.00018001278,0.000022796194,0.000179746,0.000076568096,0.00011464394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251089,0.00013623851,0.00013970061,0.00013458256,0.0001456305,0.000085077605,0.0003368239,0.00005070318,0.0000056068484],"category_scores_gemma":[0.000033404667,0.000118076605,0.000030466203,0.0003004562,0.0002735056,0.0001509039,0.000059263,0.00013698696,0.000015862723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031836063,0.00028596935,0.037077162,0.0015636028,0.000034968914,0.000009357411,0.0041513136,0.865481,0.039132427,0.019303141,0.004250651,0.028392004],"study_design_scores_gemma":[0.0005233625,0.00027158766,0.012576,0.00006108997,0.000002694232,0.0000064801147,0.000005306427,0.9810365,0.003818023,0.00084610615,0.00067170983,0.00018118284],"about_ca_topic_score_codex":0.0000016857545,"about_ca_topic_score_gemma":0.0000028270547,"teacher_disagreement_score":0.24193382,"about_ca_system_score_codex":0.000033009932,"about_ca_system_score_gemma":0.000082584535,"threshold_uncertainty_score":0.4815024},"labels":[],"label_agreement":null},{"id":"W2972825588","doi":"10.23919/acc.2019.8815103","title":"A Novel Control Architecture for the Detection of False Data Injection Attacks in Networked Control Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Deception; Architecture; Digital watermarking; Nonlinear system; Control (management); SIGNAL (programming language); Class (philosophy); Control system; Coupling (piping); Artificial intelligence; Engineering","score_opus":0.011733949924970562,"score_gpt":0.21914241596966658,"score_spread":0.207408466044696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972825588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11048376,0.000939091,0.88558364,0.000049917373,0.0014690738,0.0012264114,0.000058345868,0.00007368336,0.00011610888],"genre_scores_gemma":[0.9996021,0.000016169186,0.00004402038,0.000031331954,0.00019851509,0.00005386345,0.000006467398,0.000012460452,0.000035119774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993412,0.000023652528,0.00021535491,0.00014976587,0.000099635174,0.00017040911],"domain_scores_gemma":[0.99909,0.00043486877,0.000037988044,0.000387985,0.000028541152,0.000020592428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003473676,0.000094004914,0.00018376921,0.00005778569,0.000030978943,0.000019823236,0.0002416282,0.000089238856,0.000003654103],"category_scores_gemma":[0.00004281565,0.000061793435,0.000035866964,0.00014728445,0.000021509233,0.000088994275,0.000017134074,0.00015678657,0.000003650244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010277517,0.000013214686,0.00059544854,0.00009425,0.00004177652,9.37883e-8,0.00008703928,0.96951747,0.027513139,0.00007028776,0.00007928225,0.0018852127],"study_design_scores_gemma":[0.0018705912,0.000063066174,0.002016417,0.000037184476,0.000019832923,0.000009919639,0.00013536119,0.9921019,0.0003393602,0.000009270646,0.0033157757,0.00008133468],"about_ca_topic_score_codex":0.00028834806,"about_ca_topic_score_gemma":0.0011898535,"teacher_disagreement_score":0.8891183,"about_ca_system_score_codex":0.000022352247,"about_ca_system_score_gemma":0.0000095357345,"threshold_uncertainty_score":0.2519863},"labels":[],"label_agreement":null},{"id":"W2972881514","doi":"10.23919/acc.2019.8814963","title":"Kalman Filter Based Secure State Estimation and Individual Attacked Sensor Detection in Cyber-Physical Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Kalman filter; Detector; Computer science; State (computer science); Cyber-physical system; Residual; Statistical hypothesis testing; Real-time computing; Filter (signal processing); Data mining; Algorithm; Artificial intelligence; Mathematics; Computer vision; Statistics; Telecommunications","score_opus":0.008087984036894693,"score_gpt":0.20939506627483478,"score_spread":0.20130708223794008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972881514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386895,0.00002850153,0.0050361827,0.000016043301,0.000308291,0.00023625285,0.00000859433,0.0001314657,0.00036571018],"genre_scores_gemma":[0.99966246,0.0000028816924,0.0001772725,0.000016318752,0.000037602513,0.00001131054,0.000010283057,0.000012272589,0.00006957123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994133,0.000029116667,0.00012116371,0.00014216993,0.00013762937,0.00015661985],"domain_scores_gemma":[0.999763,0.000063007465,0.000014927852,0.000104045255,0.000012320102,0.000042714684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008742608,0.000102044854,0.00012366193,0.00008908226,0.000022376407,0.000046236284,0.00004525181,0.00005920318,0.000013278779],"category_scores_gemma":[0.0000075893086,0.00008997278,0.000018387442,0.00012615744,0.00001704856,0.00016371615,0.000012589761,0.00014307509,0.00006481907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024772824,0.000045186785,0.007034031,0.00038283062,0.00002494011,0.000009182767,0.0023079892,0.9701352,0.016132759,0.000116383126,0.0001591985,0.0036274898],"study_design_scores_gemma":[0.00037768448,0.00003901239,0.023945872,0.000036684032,0.0000047586755,0.000004893402,0.00011439169,0.9663526,0.008807155,0.000022352511,0.00016499063,0.0001296262],"about_ca_topic_score_codex":0.000052229723,"about_ca_topic_score_gemma":0.00009262658,"teacher_disagreement_score":0.01691184,"about_ca_system_score_codex":0.000028197934,"about_ca_system_score_gemma":0.000005768351,"threshold_uncertainty_score":0.36689836},"labels":[],"label_agreement":null},{"id":"W2973236729","doi":"10.1109/syscon.2019.8836958","title":"A Distributed Algorithm with Optimum Communication for Cyber Physical Systems: Multi-tank Process Case Study","year":2019,"lang":"en","type":"article","venue":"2019 IEEE International Systems Conference (SysCon)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Scalability; Computer science; Cyber-physical system; Distributed computing; Process (computing); Stability (learning theory); Data transmission; Process control; Transmission (telecommunications); Communications system; Real-time computing; Computer network; Telecommunications","score_opus":0.021912898346344554,"score_gpt":0.2858350899957974,"score_spread":0.2639221916494528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973236729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88913345,0.00019380111,0.10408603,0.0000303671,0.0026520514,0.0027663503,0.00054947234,0.0002540542,0.00033443954],"genre_scores_gemma":[0.99796635,0.000013167008,0.00028021287,0.000005941021,0.0002907188,0.00068900123,0.00016526596,0.00004378696,0.0005455764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826384,0.000092749564,0.0004534457,0.00040347042,0.0004638762,0.00032264876],"domain_scores_gemma":[0.9982793,0.00020510581,0.00017532836,0.00051857816,0.0007083964,0.000113341186],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027513196,0.00031381202,0.0004444256,0.00011239882,0.000116962736,0.00031419308,0.0006334207,0.00011676844,0.0000133536305],"category_scores_gemma":[0.000020527863,0.0002618973,0.0000703741,0.00015763054,0.00006775291,0.0005143663,0.000041203544,0.0002717767,0.00012642323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002866191,0.0027256561,0.023881327,0.0021691245,0.0025605296,0.0006530106,0.018735306,0.93724513,0.0024899615,0.0046551763,0.0023716206,0.0022265324],"study_design_scores_gemma":[0.0019247727,0.00020673865,0.00039665613,0.00046967328,0.000046323406,0.0005789804,0.009655277,0.98519003,0.00016804268,0.000007236345,0.0009419581,0.00041428726],"about_ca_topic_score_codex":0.0009443714,"about_ca_topic_score_gemma":0.00020573978,"teacher_disagreement_score":0.108832896,"about_ca_system_score_codex":0.00017341544,"about_ca_system_score_gemma":0.00008745244,"threshold_uncertainty_score":0.9999833},"labels":[],"label_agreement":null},{"id":"W2973780069","doi":"10.1016/j.iot.2019.100111","title":"Security aspects of Internet of Things aided smart grids: A bibliometric survey","year":2019,"lang":"en","type":"article","venue":"Internet of Things","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Guelph","funders":"","keywords":"Internet of Things; Vulnerability (computing); Field (mathematics); Bibliometrics; Key (lock); Smart grid; Vulnerability assessment; Power grid","score_opus":0.011589939331000831,"score_gpt":0.2272579611579258,"score_spread":0.21566802182692496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973780069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859525,0.00075897004,0.0007616424,0.000014090881,0.0013244367,0.00022324352,0.000018456414,0.000107092485,0.010839578],"genre_scores_gemma":[0.99927837,0.00010983846,0.00020054125,0.00005347734,0.000028539835,0.0000031981021,0.000014947021,0.00003505376,0.00027606622],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979835,0.00008208943,0.0007736824,0.00029523805,0.0005494051,0.00031605613],"domain_scores_gemma":[0.99848074,0.0004445581,0.0002964118,0.00044590016,0.00023962106,0.00009279127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008844573,0.0002507333,0.0006539612,0.0050643147,0.000007757185,0.000028504513,0.0008676739,0.00020367812,0.0003043502],"category_scores_gemma":[0.00041768586,0.00023526467,0.00020368981,0.0065985755,0.00014967764,0.00059299736,0.00025393043,0.0004152134,0.000062793035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010396352,0.0014415057,0.70152205,0.012859015,0.0020744002,0.0000627255,0.09362013,0.0025167468,0.12524447,0.013107461,0.04087809,0.00563379],"study_design_scores_gemma":[0.00172339,0.0009728764,0.1376164,0.0019529515,0.00006839366,0.00004204807,0.00039827844,0.09273154,0.7586005,0.0023482253,0.002707889,0.00083752285],"about_ca_topic_score_codex":0.00581666,"about_ca_topic_score_gemma":0.00008811711,"teacher_disagreement_score":0.63335603,"about_ca_system_score_codex":0.00005063244,"about_ca_system_score_gemma":0.00003292015,"threshold_uncertainty_score":0.95938146},"labels":[],"label_agreement":null},{"id":"W2980213301","doi":"10.32628/cseit184513","title":"A Novel Approach in Defining Interoperability Standards for Microgrids","year":2018,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Humber College","funders":"","keywords":"Interoperability; Computer science; Systems engineering; Computer security; Engineering; World Wide Web","score_opus":0.020434889744729498,"score_gpt":0.30700550236948915,"score_spread":0.28657061262475964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980213301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59051573,0.000059738853,0.40734312,0.00019181873,0.0017276313,0.00008323792,0.0000075644275,0.000022723118,0.000048438596],"genre_scores_gemma":[0.94458973,0.00002540516,0.05528979,0.0000074711206,0.0000760221,0.000007030767,0.0000012420168,0.000002718613,5.6980315e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846053,0.0000074653526,0.0004296822,0.00012547936,0.00068804895,0.00028881108],"domain_scores_gemma":[0.9983607,0.000068802765,0.000043635013,0.0001131733,0.0013588987,0.00005478348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052292594,0.000066697175,0.00011149211,0.0036441619,0.0000885517,0.0003775045,0.0008017714,0.00006157657,0.0000012274545],"category_scores_gemma":[0.0003092354,0.00005936566,0.000019932948,0.00158197,0.0008639588,0.0018234041,0.00017150027,0.00035535503,0.0000013705397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012933959,0.00024728753,0.0049212193,0.0002736422,0.000044338507,0.000010527322,0.010707533,0.35245287,0.053420573,0.039961245,0.0007569817,0.53707445],"study_design_scores_gemma":[0.0005030997,0.00013121065,0.0016321312,0.0001566802,3.8781644e-7,0.00011617774,0.00019837312,0.9824706,0.008016154,0.00038770583,0.0063097193,0.000077765355],"about_ca_topic_score_codex":0.0000028560767,"about_ca_topic_score_gemma":0.0000024669052,"teacher_disagreement_score":0.63001776,"about_ca_system_score_codex":0.00029738373,"about_ca_system_score_gemma":0.00018845916,"threshold_uncertainty_score":0.36402848},"labels":[],"label_agreement":null},{"id":"W2982356282","doi":"10.1109/wcnc.2019.8885625","title":"IPv6-Based Smart Grid Communication over 6LoWPAN","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Smart grid; IPv6; 6LoWPAN; Computer science; Demand response; Computer network; Embedded system; Telecommunications; Electrical engineering; Electricity; Engineering; The Internet; Operating system","score_opus":0.0037626277061081903,"score_gpt":0.18525292398081114,"score_spread":0.18149029627470295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982356282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92914826,0.00037183828,0.00065084506,0.00014949041,0.0006931732,0.00013693688,0.0000034419754,0.00036729165,0.0684787],"genre_scores_gemma":[0.99861336,0.00005061182,0.00049524714,0.00020006712,0.000041730622,0.000005163452,0.000016475156,0.000011086225,0.0005662849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995962,0.0000137060915,0.00009215757,0.0000772284,0.00009479895,0.0001259529],"domain_scores_gemma":[0.9995111,0.000054289794,0.000008417792,0.0003772048,0.00001186329,0.000037078313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007234197,0.000069390015,0.000073911695,0.000034750876,0.00003156325,0.000019418796,0.00017226992,0.00005191567,0.0008998938],"category_scores_gemma":[0.0000053817002,0.00006176889,0.00003361567,0.00008847355,0.000020502493,0.00009747945,0.000019821671,0.00011108064,0.0006707958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080240694,0.0003955157,0.23416942,0.0008206735,0.00017325676,0.0000102885315,0.0020036665,0.38240778,0.067312375,0.026172506,0.27373108,0.012723196],"study_design_scores_gemma":[0.00096291746,0.000053195323,0.08401818,0.00009278916,0.0000120228415,0.0000031461927,0.00010251817,0.5232375,0.031274077,0.00022898607,0.3595025,0.00051214325],"about_ca_topic_score_codex":0.000047729005,"about_ca_topic_score_gemma":0.000059964812,"teacher_disagreement_score":0.15015125,"about_ca_system_score_codex":0.000018570892,"about_ca_system_score_gemma":0.000007988425,"threshold_uncertainty_score":0.9853206},"labels":[],"label_agreement":null},{"id":"W2989356614","doi":"10.1109/tcsii.2019.2953238","title":"Sparse Undetectable Sensor Attacks Against Cyber-Physical Systems: A Subspace Approach","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Subspace topology; Cyber-physical system; Constraint (computer-aided design); Computer science; Sparse approximation; Wireless sensor network; Artificial intelligence; Data mining; Real-time computing; Engineering; Computer network","score_opus":0.01311636302289881,"score_gpt":0.20628768616019358,"score_spread":0.19317132313729476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989356614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5305886,0.0014786909,0.44541326,0.000013159167,0.0077316775,0.0017769918,0.00023027226,0.0016465937,0.011120756],"genre_scores_gemma":[0.9954487,0.00013357337,0.000030336621,0.000020351412,0.0005329439,0.00034184128,0.00001207734,0.00014876007,0.0033314042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99680537,0.00020918794,0.0005627176,0.00081154105,0.00074991595,0.00086125074],"domain_scores_gemma":[0.99820215,0.00029326574,0.00008120944,0.0010127696,0.00010009576,0.00031049617],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002648003,0.00057876133,0.00078835984,0.00030342216,0.0003990966,0.00032292577,0.0004731837,0.00037222705,0.000025265834],"category_scores_gemma":[0.0000045193888,0.00057832885,0.00029325142,0.0006192095,0.000100380705,0.0006099403,0.000004047025,0.00082230166,0.00035385857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014154369,0.00021919682,0.000011516994,0.0012625959,0.00019606214,0.000024866476,0.0024250688,0.9493237,0.044927273,0.00016233003,0.00073357933,0.00069966697],"study_design_scores_gemma":[0.0013902171,0.00023727068,0.000056911318,0.0015894523,0.00012643533,0.00029209367,0.0032319734,0.92612356,0.023938188,0.0000026837874,0.04141477,0.0015964202],"about_ca_topic_score_codex":0.00026948412,"about_ca_topic_score_gemma":0.0000109094835,"teacher_disagreement_score":0.4648601,"about_ca_system_score_codex":0.00030252154,"about_ca_system_score_gemma":0.00009382493,"threshold_uncertainty_score":0.9996668},"labels":[],"label_agreement":null},{"id":"W2990100736","doi":"10.1109/smartgridcomm.2019.8909779","title":"Machine Learning Based Physical-Layer Intrusion Detection and Location for the Smart Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Physical layer; Smart grid; Computer network; Intrusion detection system; Grid; PHY; Layer (electronics); Transmission (telecommunications); Distributed computing; Real-time computing; Computer security; Wireless; Engineering; Telecommunications","score_opus":0.006256935097455235,"score_gpt":0.2002496534811441,"score_spread":0.19399271838368887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990100736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8305011,0.00020714072,0.16753106,0.00014193187,0.0006456948,0.0003237321,0.0000010708371,0.00017045677,0.00047784817],"genre_scores_gemma":[0.99955386,0.000027421966,0.00009014057,0.000038137223,0.0001452594,0.000016662209,0.0000035089643,0.000009087751,0.00011592986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971074,0.0000095368005,0.00005195296,0.00008393953,0.000058888396,0.000084927735],"domain_scores_gemma":[0.9997234,0.00014708916,0.000009471396,0.000077065,0.000025303902,0.00001771813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081994636,0.000058380057,0.000053131625,0.000022292563,0.00009105279,0.000020296544,0.000038449052,0.000027903234,0.000020535641],"category_scores_gemma":[0.000025830228,0.00003772786,0.000017255656,0.00009907326,0.00001260608,0.00006732721,0.000010136009,0.00009935229,0.000023391498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058351237,0.00003811767,0.003238672,0.0002552821,0.000024715702,1.8493377e-7,0.00060261844,0.80619764,0.13672687,0.00040289343,0.00020254467,0.05225211],"study_design_scores_gemma":[0.0001891959,0.00005253694,0.0034136618,0.000008324435,0.0000067737674,7.846639e-7,0.000038176622,0.95422983,0.031687807,0.000029146016,0.010284194,0.00005956891],"about_ca_topic_score_codex":0.000030178357,"about_ca_topic_score_gemma":0.00004713461,"teacher_disagreement_score":0.16905278,"about_ca_system_score_codex":0.0000119218,"about_ca_system_score_gemma":0.000003554565,"threshold_uncertainty_score":0.15384974},"labels":[],"label_agreement":null},{"id":"W2990203768","doi":"10.1109/isgteurope.2019.8905638","title":"Evolution of Distribution Underground Monitoring","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Lagging; Smart grid; Automation; Computer science; Renewable energy; Electric power system; Systems engineering; Telecommunications; Reliability engineering; Power (physics); Engineering; Electrical engineering","score_opus":0.004585557268724187,"score_gpt":0.18968742083605863,"score_spread":0.18510186356733443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990203768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973601,0.00019624882,0.018713728,0.0000049798537,0.00077685213,0.000041350995,0.0000021534643,0.000084030515,0.0065796515],"genre_scores_gemma":[0.999718,0.000021370035,0.0000677267,3.7900531e-7,0.000055280987,8.662444e-7,0.000002802622,0.0000031432214,0.0001304395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997405,0.00000331394,0.000067833826,0.00004458842,0.000069820664,0.00007395518],"domain_scores_gemma":[0.99987304,0.000014487534,0.0000068857926,0.00007726752,0.00001310775,0.000015194455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032056334,0.00003446094,0.000046836478,0.000014131363,0.000010770417,0.0000041990547,0.000041659063,0.000031476025,0.0000332323],"category_scores_gemma":[0.0000037038933,0.000031753672,0.000017974893,0.000083295155,0.000009419387,0.00008867833,0.000007598879,0.000040223647,0.00006139958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000140014945,0.00006227494,0.5096995,0.00041706229,0.0000456272,0.0000012641082,0.00032190434,0.21362004,0.17007215,0.1030004,0.0011876768,0.0015580765],"study_design_scores_gemma":[0.00054354325,0.000091949594,0.6709059,0.0001337591,0.000014849928,0.0000076180004,0.0010830757,0.16455913,0.15481082,0.002657969,0.0048272284,0.00036416025],"about_ca_topic_score_codex":0.000021526492,"about_ca_topic_score_gemma":0.0000023938396,"teacher_disagreement_score":0.1612064,"about_ca_system_score_codex":0.00006651356,"about_ca_system_score_gemma":0.0000047997914,"threshold_uncertainty_score":0.12948772},"labels":[],"label_agreement":null},{"id":"W2990678899","doi":"10.1109/smartgridcomm.2019.8909810","title":"Preventing False Tripping Cyberattacks Against Distance Relays: A Deep Learning Approach","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; University of Toronto","funders":"","keywords":"Tripping; Relay; Autoencoder; Protective relay; Computer science; Fault (geology); Benchmark (surveying); Circuit breaker; Electric power system; Power-system protection; Voltage; Power (physics); Deep learning; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.005851794291396368,"score_gpt":0.19413385304204533,"score_spread":0.18828205875064896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990678899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78194225,0.0014196107,0.07354925,0.000012662871,0.0005014362,0.00037129296,6.695057e-7,0.0006552083,0.1415476],"genre_scores_gemma":[0.993849,0.00014074317,0.0026650126,0.000042040236,0.00011658481,0.000025688694,0.000009937925,0.00003359769,0.0031174275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998896,0.00003655292,0.00024613683,0.0002661193,0.00017827014,0.00037693544],"domain_scores_gemma":[0.999585,0.0000621723,0.00003488005,0.0002216968,0.000021430804,0.000074854695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022885652,0.00016960214,0.00020042175,0.000065185435,0.000115657705,0.0000743025,0.00019295061,0.000101157326,0.00006451216],"category_scores_gemma":[0.00004054892,0.00015814739,0.00008263282,0.00025827807,0.00002344786,0.00026134544,0.000047213583,0.00043682646,0.00019395402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009236795,0.00004487179,0.010887153,0.0003890741,0.00005432242,0.000008607545,0.0023821918,0.96481556,0.006917636,0.0017423348,0.0002499029,0.012499123],"study_design_scores_gemma":[0.00044630223,0.000022115673,0.0013038564,0.0001300614,0.0000089979585,0.000009518031,0.0011304561,0.9651353,0.0014684767,0.000037528484,0.029874848,0.00043255632],"about_ca_topic_score_codex":0.0000035692494,"about_ca_topic_score_gemma":0.000009028107,"teacher_disagreement_score":0.21190669,"about_ca_system_score_codex":0.000049941762,"about_ca_system_score_gemma":0.000007913891,"threshold_uncertainty_score":0.64490634},"labels":[],"label_agreement":null},{"id":"W2990924520","doi":"10.1145/3359789.3359847","title":"Out of control","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Cyber-physical system; Intrusion detection system; Actuator; Drone; Crash; Industrial control system; Real-time computing; Software; Computer security; Control system; Control (management); Artificial intelligence; Engineering","score_opus":0.00309119921662651,"score_gpt":0.173843070376973,"score_spread":0.17075187116034649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990924520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86607325,0.00011388125,0.0030970804,0.000022667466,0.0007438595,0.00006116152,0.0000013970943,0.00008218264,0.12980455],"genre_scores_gemma":[0.9992404,0.0000062320337,0.000056991623,0.000022727465,0.000018762446,5.0353316e-7,1.4714514e-7,0.0000023631724,0.00065190374],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984795,0.0000016340426,0.000042817137,0.000024712988,0.00003553421,0.000047339086],"domain_scores_gemma":[0.9999025,0.000015025217,0.0000028280037,0.000062802595,0.000005499297,0.000011332922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000019511137,0.000021336238,0.00004762658,0.0000103111715,0.0000022806237,0.0000013976526,0.000037948426,0.00001627405,0.0002975192],"category_scores_gemma":[0.0000021228934,0.000016760678,0.000014752268,0.00001655309,0.000006320302,0.000021924736,0.0000025832558,0.000023260076,0.00029529372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000392366,0.00009703445,0.1636917,0.0006716932,0.00018924708,0.0000062219156,0.0029796553,0.22221118,0.52371556,0.04633906,0.033680074,0.0063793347],"study_design_scores_gemma":[0.003722518,0.00021801225,0.08688546,0.00008858191,0.000027448707,0.0000055216174,0.00054503395,0.4728213,0.2645919,0.0009277463,0.16946913,0.00069734827],"about_ca_topic_score_codex":0.000001989547,"about_ca_topic_score_gemma":0.0000038186904,"teacher_disagreement_score":0.25912365,"about_ca_system_score_codex":0.0000020784312,"about_ca_system_score_gemma":0.0000016367677,"threshold_uncertainty_score":0.3795502},"labels":[],"label_agreement":null},{"id":"W2990966178","doi":"10.1109/smartgridcomm.2019.8909806","title":"Quantum-Sim: An Open-Source Co-Simulation Platform for Quantum Key Distribution-Based Smart Grid Communications","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Quantum key distribution; Smart grid; Key (lock); Computer science; Quantum cryptography; Quantum; Grid; Open source; Distributed computing; Electrical engineering; Physics; Quantum information; Engineering; Computer security; Quantum mechanics; Operating system; Software; Mathematics","score_opus":0.035184423864422554,"score_gpt":0.29758263626134607,"score_spread":0.2623982123969235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990966178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6545623,0.0001345173,0.33673823,0.00033531638,0.001214395,0.0018237397,0.0005460952,0.0008049951,0.0038404071],"genre_scores_gemma":[0.9963584,0.000019998515,0.0008821883,0.0001345381,0.00008386943,0.00008153773,0.0022516025,0.000035060388,0.00015283233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989544,0.000027959693,0.00031869204,0.00022486084,0.00016768005,0.00030638254],"domain_scores_gemma":[0.9982784,0.00045627716,0.00005077384,0.0009931126,0.00010022636,0.000121209516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030811294,0.00017727618,0.00021205455,0.000054066935,0.00029555062,0.00015695323,0.00093922863,0.00013278179,0.0001417456],"category_scores_gemma":[0.000053613825,0.00016786827,0.000061765124,0.00019464003,0.00007158005,0.0005696043,0.00008435639,0.00018658389,0.00017000709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011359612,0.0003183628,0.00613676,0.00017067112,0.000049070484,4.7296922e-7,0.000555044,0.90972614,0.0016608814,0.07006533,0.010162164,0.0010414865],"study_design_scores_gemma":[0.0006305647,0.00012619613,0.0018283202,0.000027499938,0.000010534819,8.658537e-7,0.00017872934,0.83994585,0.0010528933,0.0003071767,0.15565695,0.00023443723],"about_ca_topic_score_codex":0.0001374311,"about_ca_topic_score_gemma":0.00019594564,"teacher_disagreement_score":0.34179604,"about_ca_system_score_codex":0.00009409391,"about_ca_system_score_gemma":0.000052366795,"threshold_uncertainty_score":0.68454695},"labels":[],"label_agreement":null},{"id":"W2992038914","doi":"10.1049/iet-cta.2019.0689","title":"A set‐theoretic model predictive control approach for transient stability in smart grid","year":2019,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Control theory (sociology); Model predictive control; Transient (computer programming); Stability (learning theory); Computer science; Smart grid; Grid; Set (abstract data type); Control engineering; Control (management); Mathematics; Engineering; Artificial intelligence; Machine learning","score_opus":0.006009464787265094,"score_gpt":0.20269912804291904,"score_spread":0.19668966325565393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992038914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13294204,0.00037963554,0.8614575,0.000056566863,0.000053024887,0.002622615,0.00047569073,0.00010590546,0.0019070316],"genre_scores_gemma":[0.9969661,0.00003425331,0.0002190134,0.00010825704,0.00007296127,0.0025359192,0.000026918937,0.000017487895,0.000019037467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999077,0.000071153125,0.00022722274,0.00029072585,0.00008339513,0.00025045275],"domain_scores_gemma":[0.99909276,0.00048948877,0.00002494822,0.00027508455,0.00003789761,0.00007980624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007047066,0.00015057017,0.00024789135,0.00004927188,0.00007747345,0.000020254267,0.00014234464,0.0000980272,0.0000133812655],"category_scores_gemma":[0.000019760893,0.00013613231,0.000072026225,0.00010717901,0.00014316427,0.00009229586,0.0000068606205,0.0001702232,0.000005150761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007076202,0.0001683358,0.0010691057,0.00029621166,0.00007656806,1.7491008e-7,0.0021882532,0.65186936,0.006131395,0.33671024,0.00004803475,0.00073467393],"study_design_scores_gemma":[0.0025349178,0.00005224701,0.0007097459,0.000010064957,0.000047438352,0.0000018666625,0.00046220093,0.9568195,0.00028249985,0.038380172,0.0005254374,0.00017393577],"about_ca_topic_score_codex":0.0000014052443,"about_ca_topic_score_gemma":0.0000033063357,"teacher_disagreement_score":0.8640241,"about_ca_system_score_codex":0.00003137057,"about_ca_system_score_gemma":0.000021647798,"threshold_uncertainty_score":0.5551315},"labels":[],"label_agreement":null},{"id":"W2997610263","doi":"10.1109/mias.2019.2943630","title":"A Guide to Securing Industrial Control Networks: Integrating IT and OT Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Flexibility (engineering); Industrial control system; Hacker; Computer security; Industrial Internet; Productivity; The Internet; Control (management); Computer science; Engineering; Risk analysis (engineering); Internet of Things; Business; World Wide Web","score_opus":0.009262341659521766,"score_gpt":0.23406324475885065,"score_spread":0.22480090309932887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997610263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6976238,0.0011012582,0.23932342,0.0015647803,0.0037279828,0.0057873176,0.00012681652,0.0012171391,0.049527477],"genre_scores_gemma":[0.99605393,0.000019151455,0.00022385329,0.00017659849,0.0014510552,0.0005140342,0.000008895933,0.00003537968,0.0015170983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987182,0.000030024541,0.00041633908,0.0003174408,0.00016501379,0.0003529944],"domain_scores_gemma":[0.9991232,0.00014485566,0.00005718587,0.00040115503,0.00006593115,0.00020766517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023712219,0.00021648794,0.00026579146,0.00011780778,0.00010514251,0.00012031933,0.0002571345,0.0004520802,0.000039768704],"category_scores_gemma":[0.000030260959,0.00021498722,0.000034207627,0.0004910582,0.00003965917,0.00014662255,0.000036619953,0.00092480436,0.00028370638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017757944,0.000039526978,0.0033777303,0.00009319998,0.0000706004,0.000004600564,0.0002335728,0.9234185,0.0087161055,0.0014015774,0.0561604,0.0064663757],"study_design_scores_gemma":[0.0011651121,0.000063509804,0.0004266485,0.00028140133,0.000037774993,0.0000615816,0.0005405419,0.33996245,0.00054736604,0.000020465312,0.6563768,0.00051638857],"about_ca_topic_score_codex":0.000038660022,"about_ca_topic_score_gemma":0.000021829022,"teacher_disagreement_score":0.6002163,"about_ca_system_score_codex":0.00008283593,"about_ca_system_score_gemma":0.00003148647,"threshold_uncertainty_score":0.8766925},"labels":[],"label_agreement":null},{"id":"W2999106285","doi":"10.1049/et.2019.0618","title":"News - Briefing. Infrastructure: System boosts smart meter resilience to cyber attacks","year":2019,"lang":"en","type":"article","venue":"Engineering & Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Smart meter; Computer security; Metre; Cyber threats; Computer science; Internet privacy; Business; Engineering; Smart grid; Electrical engineering","score_opus":0.0022730623213607954,"score_gpt":0.17796232346064467,"score_spread":0.17568926113928388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999106285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96437246,0.0006869093,0.026215797,0.0003257021,0.0026442558,0.00044780155,0.000007887639,0.0034460535,0.001853138],"genre_scores_gemma":[0.995147,0.000023471164,0.004354104,0.00008488265,0.00011103625,0.00004998696,0.0000028556988,0.000069685724,0.00015701313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983763,0.000008686578,0.00032148277,0.0004261848,0.00021070756,0.000656602],"domain_scores_gemma":[0.99901074,0.000051212486,0.000027563081,0.0007364885,0.000037459577,0.00013653573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000098338394,0.00032149206,0.0003744127,0.00054218987,0.000050067272,0.000040587605,0.00058405614,0.00038980035,0.000048763985],"category_scores_gemma":[0.00007464503,0.00032839944,0.00007001593,0.00090696255,0.000042099542,0.00014358535,0.00016796302,0.0005574115,0.00065968995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000122554675,0.0000137552515,0.00995006,0.00047439613,0.0000944545,0.00007279967,0.00040151842,0.87924117,0.0905161,0.0061934846,0.008321675,0.004708328],"study_design_scores_gemma":[0.0012757739,0.0003932237,0.032002162,0.0009874265,0.00006600979,0.0007719658,0.000597791,0.2681076,0.1462871,0.0001483485,0.5467263,0.0026363423],"about_ca_topic_score_codex":0.000020102392,"about_ca_topic_score_gemma":0.000012693654,"teacher_disagreement_score":0.6111336,"about_ca_system_score_codex":0.00019453824,"about_ca_system_score_gemma":0.000018634762,"threshold_uncertainty_score":0.9999168},"labels":[],"label_agreement":null},{"id":"W3000053734","doi":"10.1049/iet-cps.2019.0087","title":"In the mind of an insider attacker on cyber‐physical systems and how not being fooled","year":2020,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Insider; Computer security; Cyber-physical system; Exploit; Insider threat; Damages; Computer science; Process (computing); Law","score_opus":0.013682365319822264,"score_gpt":0.24218197131253333,"score_spread":0.22849960599271107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000053734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941254,0.00014697317,0.0018865188,0.00074900565,0.00013886752,0.0012054751,0.00005785793,0.000090338246,0.0015995132],"genre_scores_gemma":[0.9980693,0.000007976347,0.000018651177,0.00012253538,0.0011099975,0.000587283,0.000014348652,0.00003802395,0.000031871037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835676,0.00027167937,0.00028392227,0.00041583792,0.00037143225,0.0003003931],"domain_scores_gemma":[0.998409,0.0007444204,0.00008772095,0.00054505275,0.000050808165,0.0001630412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030884455,0.00026621838,0.00046592156,0.000057414596,0.00013016372,0.00011524813,0.00041046223,0.00010922152,0.0000016358998],"category_scores_gemma":[0.000038595645,0.00019892876,0.00010084727,0.0004729403,0.0001935614,0.00022057274,0.000048485348,0.00040178242,0.000058724017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010189287,0.0008652385,0.00022618106,0.0008478448,0.00019786137,0.000019879579,0.028786749,0.04508679,0.09743423,0.8228266,0.0010682214,0.0025384603],"study_design_scores_gemma":[0.004372739,0.0016225501,0.01437609,0.0011793327,0.00066964264,0.000119851116,0.028802393,0.7685718,0.04756109,0.023506612,0.10545712,0.0037607676],"about_ca_topic_score_codex":0.00003534425,"about_ca_topic_score_gemma":0.000007900045,"teacher_disagreement_score":0.79932004,"about_ca_system_score_codex":0.000036546484,"about_ca_system_score_gemma":0.000016584618,"threshold_uncertainty_score":0.81120795},"labels":[],"label_agreement":null},{"id":"W3003436024","doi":"10.1109/pesgm40551.2019.8973679","title":"Advanced Cyber-Physical Attack Classification with Extreme Gradient Boosting for Smart Transmission Grids","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Smart grid; Testbed; Cyber-physical system; Classifier (UML); Boosting (machine learning); Real-time computing; Data mining; Machine learning; Artificial intelligence; Computer network; Engineering","score_opus":0.02259664475773732,"score_gpt":0.235662646272295,"score_spread":0.21306600151455768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003436024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93740904,0.00007192589,0.054240797,0.00012373323,0.0002740891,0.0004910359,0.0000031143572,0.00027995076,0.007106296],"genre_scores_gemma":[0.99489456,0.000020413507,0.00425351,0.0000251183,0.000098192046,0.000044208882,0.000016586917,0.000026499445,0.0006208962],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992346,0.000008286627,0.00013439846,0.00022374757,0.00014869247,0.0002502475],"domain_scores_gemma":[0.9995935,0.00008338971,0.00001973421,0.00018442493,0.00003615455,0.00008279457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060265433,0.00013845364,0.0001471687,0.000038162994,0.0000658067,0.00001995059,0.00010397158,0.000050368493,0.00002709099],"category_scores_gemma":[0.00000582562,0.00010210541,0.000057613,0.00012564694,0.000024370973,0.00017776502,0.0000064413002,0.00010882138,0.000046233312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046468715,0.0004067663,0.009076533,0.0011811247,0.000117430434,0.0000060854404,0.004545711,0.20244521,0.6203155,0.012331652,0.0038798114,0.14522947],"study_design_scores_gemma":[0.0011982248,0.00031024503,0.012519087,0.00015653504,0.000022971779,0.000007660773,0.0003402722,0.9029551,0.029822798,0.00012312815,0.052130446,0.00041349686],"about_ca_topic_score_codex":0.0000028497416,"about_ca_topic_score_gemma":0.0000089494915,"teacher_disagreement_score":0.7005099,"about_ca_system_score_codex":0.000038761595,"about_ca_system_score_gemma":0.000012053583,"threshold_uncertainty_score":0.4163738},"labels":[],"label_agreement":null},{"id":"W3005276218","doi":"10.1049/iet-stg.2019.0191","title":"Real‐time stability assessment in smart cyber‐physical grids: a deep learning approach","year":2020,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Smart grid; Computer science; Cyber-physical system; Electric power system; Stability (learning theory); Artificial neural network; Redundancy (engineering); Transient (computer programming); Feed forward; Backpropagation; Real-time computing; Process (computing); Artificial intelligence; Machine learning; Power (physics); Control engineering; Engineering","score_opus":0.012484896722131569,"score_gpt":0.22860581388670548,"score_spread":0.2161209171645739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005276218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782012,0.00008471437,0.001426947,0.0003258054,0.00054962776,0.0003924252,0.000015830099,0.000675985,0.018327465],"genre_scores_gemma":[0.9973341,0.0000936741,0.0013864295,0.00008036361,0.00088065997,0.00007498548,0.00006950371,0.00005396864,0.000026309184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783087,0.00017675609,0.00040419147,0.00055670686,0.00042828126,0.000603175],"domain_scores_gemma":[0.99912965,0.00016376567,0.000046247937,0.00033083552,0.000038305287,0.00029120586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036464242,0.0003294696,0.00049221,0.0000735552,0.0001186139,0.00006952407,0.0003508257,0.00014998301,0.00010751223],"category_scores_gemma":[0.0000894671,0.00032479776,0.00015743483,0.0005657485,0.00010905863,0.00026974943,0.00013899016,0.0010723585,0.00021554707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028083107,0.0018770463,0.2669931,0.001893742,0.00034946474,0.00028452146,0.04050917,0.57086897,0.09635364,0.0016308366,0.012323561,0.0066350927],"study_design_scores_gemma":[0.00082962133,0.00021738115,0.08211293,0.000041486986,0.000030403751,0.0000099922945,0.0006868069,0.9010072,0.0024252208,0.000089343244,0.0118479,0.0007017594],"about_ca_topic_score_codex":0.00010343781,"about_ca_topic_score_gemma":0.000041113813,"teacher_disagreement_score":0.33013818,"about_ca_system_score_codex":0.00017373827,"about_ca_system_score_gemma":0.000057444584,"threshold_uncertainty_score":0.9999204},"labels":[],"label_agreement":null},{"id":"W3006241262","doi":"10.1109/tii.2020.2973235","title":"A Scalable FMI-Compatible Cosimulation Platform for Synchrophasor Network Studies","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Scalability; Phasor; Communications protocol; Computer science; Embedded system; User Datagram Protocol; Network packet; Electric power system; Protocol (science); Phasor measurement unit; Smart grid; Telecommunications network; Computer network; Distributed computing; Engineering; Internet Protocol; The Internet; Power (physics); Database; Operating system","score_opus":0.10018299304907449,"score_gpt":0.27735528678572074,"score_spread":0.17717229373664625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006241262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1244025,0.00011298524,0.86943233,0.00021178082,0.0036258579,0.0010601995,0.00010844936,0.00053607055,0.0005098151],"genre_scores_gemma":[0.9962805,0.00012614416,0.002607062,0.0002851921,0.0005488272,0.00008692263,0.000010403769,0.000024114734,0.00003084797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988565,0.0000088079505,0.00054139836,0.00008287878,0.00019814828,0.0003122804],"domain_scores_gemma":[0.99931455,0.0002822567,0.00006762601,0.0001321805,0.00007332901,0.00013005204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001342047,0.00018982652,0.00028634255,0.00006885652,0.00029217702,0.00006341759,0.00013776738,0.00019638537,0.00003202734],"category_scores_gemma":[0.000024888159,0.00017878525,0.00010280029,0.00042955016,0.000054354645,0.00049326714,0.0000013559915,0.00037532143,0.000060229715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008768515,0.000018523175,0.0000049115165,0.00012770745,0.00010667239,3.182404e-7,0.0021634374,0.98089975,0.000022049668,0.000047184152,0.012078752,0.004443035],"study_design_scores_gemma":[0.0015176365,0.00029352953,0.0000016422297,0.000102910286,0.00006742611,0.0000024085534,0.0010932974,0.9781588,0.00813692,0.00007007796,0.010314607,0.00024078047],"about_ca_topic_score_codex":0.0000028567356,"about_ca_topic_score_gemma":0.000005644921,"teacher_disagreement_score":0.87187797,"about_ca_system_score_codex":0.00009170773,"about_ca_system_score_gemma":0.000040869083,"threshold_uncertainty_score":0.7290651},"labels":[],"label_agreement":null},{"id":"W3006314209","doi":"10.1051/jnwpu/20193761238","title":"Fully Connected Clustering Based Software Defined Control System and Node Failure Analysis","year":2019,"lang":"en","type":"article","venue":"Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Node (physics); Controller (irrigation); Distributed computing; Flexibility (engineering); Wireless network; Software; Wireless; Real-time computing; Computer network; Engineering","score_opus":0.0029205958968403396,"score_gpt":0.1588053128404058,"score_spread":0.15588471694356545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006314209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8737688,0.00019566469,0.12494495,0.00010574966,0.00029307717,0.00020750937,0.00011181048,0.00026583867,0.000106622356],"genre_scores_gemma":[0.99762815,0.000023477567,0.0021183789,0.000057976813,0.00008232348,4.1675054e-7,0.000015767217,0.000027731263,0.000045789508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822557,0.00010326073,0.000527805,0.0003158229,0.0004096026,0.0004179426],"domain_scores_gemma":[0.99843067,0.00032032185,0.00026315087,0.00042847585,0.00022192782,0.00033544796],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029550656,0.00032145303,0.00080479315,0.0006121793,0.0001365548,0.00007361047,0.0005731145,0.00029974166,0.000039464878],"category_scores_gemma":[0.000037689973,0.00031366645,0.00039610616,0.00087269477,0.00012313282,0.00043518769,0.000108812616,0.00062129286,0.000017520599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089261105,0.00015408563,0.5907617,0.00067696185,0.0020190421,0.0011522912,0.0003132042,0.3985425,0.004332798,0.00021841605,0.00017618468,0.0007602084],"study_design_scores_gemma":[0.015151181,0.0010363237,0.5145865,0.0011144166,0.0051366417,0.0011006133,0.0022701526,0.44653824,0.0011514396,0.000015803156,0.009677763,0.0022209005],"about_ca_topic_score_codex":0.00011724784,"about_ca_topic_score_gemma":0.0016852735,"teacher_disagreement_score":0.12385936,"about_ca_system_score_codex":0.00025755362,"about_ca_system_score_gemma":0.00007842383,"threshold_uncertainty_score":0.9999315},"labels":[],"label_agreement":null},{"id":"W3007775060","doi":"10.1049/iet-cps.2019.0032","title":"Cyber–physical attacks on power distribution systems","year":2020,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; York University; University of Waterloo","funders":"","keywords":"Cyber-physical system; Computer security; Computer science; Power (physics); Operating system; Physics","score_opus":0.00834493424333592,"score_gpt":0.22689169132561923,"score_spread":0.21854675708228333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007775060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76140916,0.0008001192,0.20747179,0.0007081063,0.0014716354,0.0035272865,0.0012701623,0.0025348808,0.020806849],"genre_scores_gemma":[0.9963238,0.000013666216,0.000006272344,0.000075171476,0.0020399403,0.0011248565,0.00019541619,0.0000688173,0.0001520442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978436,0.00015641739,0.00041157802,0.0005867488,0.0004884475,0.000513187],"domain_scores_gemma":[0.99825203,0.0004567908,0.00009771476,0.00068704784,0.000096100615,0.00041029247],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018220578,0.00040077145,0.0005395497,0.00003756186,0.00028199854,0.00015671128,0.0005235092,0.00016648076,0.000010651261],"category_scores_gemma":[0.000035775123,0.00035771143,0.00024079175,0.00062833144,0.00018293093,0.00017535887,0.000068945636,0.00054337695,0.0020206103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005145431,0.0005277031,0.00005004893,0.00031003836,0.00017632912,0.0000080131695,0.0022049113,0.089557275,0.016017735,0.87802255,0.01212607,0.00094784785],"study_design_scores_gemma":[0.0011863925,0.00054071523,0.0015594084,0.0003659929,0.00026059762,0.000037934937,0.00214068,0.2630175,0.0063767093,0.004944861,0.7174103,0.002158855],"about_ca_topic_score_codex":0.000024979674,"about_ca_topic_score_gemma":9.899646e-7,"teacher_disagreement_score":0.8730777,"about_ca_system_score_codex":0.00015827117,"about_ca_system_score_gemma":0.000026497137,"threshold_uncertainty_score":0.99988747},"labels":[],"label_agreement":null},{"id":"W3008242411","doi":"10.1109/mpe.2020.2974595","title":"The Closed-Loop Revolution","year":2020,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Relay; Desk; Context (archaeology); Tripping; Circuit breaker; Enclosure; Trunking; Protective relay; Electrical engineering; Engineering; Telecommunications; Computer science; Computer security; Operating system; Power (physics)","score_opus":0.006862376743072365,"score_gpt":0.18558134798527934,"score_spread":0.17871897124220698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008242411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63551325,0.040257987,0.03874198,0.01508316,0.009842381,0.00018603817,0.000031491232,0.0018064247,0.25853732],"genre_scores_gemma":[0.99670774,0.0017682828,0.000031683314,0.00036946553,0.00025708452,0.0000043448363,0.0000018999322,0.000011750566,0.0008477299],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953866,0.000011556489,0.000098703655,0.00010516949,0.00008381591,0.00016208022],"domain_scores_gemma":[0.99976116,0.000030314775,0.000008613807,0.00009719487,0.0000139457625,0.00008879413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037633985,0.00008440555,0.00007396426,0.000011649623,0.00010099698,0.00002742031,0.00008893873,0.00004283594,0.000021600797],"category_scores_gemma":[0.000013213407,0.000059583523,0.000026768292,0.0001075583,0.00005567055,0.00006296092,0.000015566862,0.00008631035,0.00004991861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013572306,0.000046137444,0.00047399686,0.00013813327,0.00015132246,0.00006849207,0.002196108,0.04665132,0.093132734,0.032782767,0.77192676,0.052296497],"study_design_scores_gemma":[0.00019792761,0.000052660358,0.001577976,0.000009350362,0.000007865076,0.000010538879,0.000036334633,0.03289463,0.0028422931,0.00020883288,0.9620086,0.00015298784],"about_ca_topic_score_codex":0.0000067003143,"about_ca_topic_score_gemma":0.000025488813,"teacher_disagreement_score":0.36119455,"about_ca_system_score_codex":0.0000072304642,"about_ca_system_score_gemma":0.0000048793186,"threshold_uncertainty_score":0.24297455},"labels":[],"label_agreement":null},{"id":"W3010531281","doi":"10.1109/globecom38437.2019.9013960","title":"Towards a Customized Resiliency Framework for Smart Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Smart grid; Computer science; Grid; Distributed computing; Reliability engineering; Fault (geology); Process (computing); Event (particle physics); Electric power system; Power (physics); Engineering; Electrical engineering; Operating system","score_opus":0.007357090013062675,"score_gpt":0.2307209077409298,"score_spread":0.22336381772786712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010531281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70336807,0.0007950729,0.17699377,0.0005202472,0.009196129,0.0013946096,0.000031285545,0.0013397234,0.106361076],"genre_scores_gemma":[0.9647097,0.000107554944,0.03240101,0.00025753834,0.00049588643,0.00007866994,0.000009040588,0.00004105372,0.0018995522],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991779,0.000010250471,0.00017312773,0.00018912095,0.0001407332,0.0003089121],"domain_scores_gemma":[0.99943227,0.00015069685,0.000013818531,0.00029348594,0.000030986444,0.000078770296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428492,0.00013239814,0.00019602972,0.000058978123,0.000044268003,0.000029693887,0.00021221655,0.00014419,0.0005838884],"category_scores_gemma":[0.0000838439,0.00011025198,0.00010546548,0.00015636774,0.000023960705,0.00011042524,0.000026497806,0.0001678915,0.00050974125],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086737995,0.00034341577,0.014458166,0.0022161806,0.00038549598,0.000020614341,0.0050573205,0.047734648,0.017578766,0.6436146,0.23870513,0.029018266],"study_design_scores_gemma":[0.0056483466,0.00044636824,0.012119589,0.00037057043,0.000075914024,0.00002913335,0.00094710017,0.21301864,0.057268035,0.06640614,0.6416637,0.0020065021],"about_ca_topic_score_codex":0.000013731072,"about_ca_topic_score_gemma":0.0000099189865,"teacher_disagreement_score":0.57720846,"about_ca_system_score_codex":0.00002996092,"about_ca_system_score_gemma":0.0000229142,"threshold_uncertainty_score":0.6551863},"labels":[],"label_agreement":null},{"id":"W3010616298","doi":"10.1109/globecom38437.2019.9013218","title":"Finding the Worse Case: Undetectable False Data Injection with Minimized Knowledge and Resource","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Leverage (statistics); Grid; Particle swarm optimization; Mathematical optimization; Smart grid; Data mining; Algorithm; Mathematics; Engineering; Machine learning","score_opus":0.01703607226728725,"score_gpt":0.22853918990958677,"score_spread":0.2115031176422995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010616298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843425,0.00088733406,0.0010232953,0.000039461986,0.00019299853,0.00019585766,0.0000051361544,0.00014979129,0.0131635815],"genre_scores_gemma":[0.9977466,0.000031115043,0.00026743134,0.0000176192,0.00006436755,0.0000041302687,0.000005162979,0.0000133192725,0.0018502699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999497,0.000025695317,0.00008293289,0.00017266556,0.00006549076,0.00015622297],"domain_scores_gemma":[0.9993447,0.00016074107,0.000011771328,0.00043634482,0.000009364161,0.00003704606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020100089,0.00008889793,0.0000921773,0.000040937375,0.00011257007,0.000051665957,0.00015925129,0.000046538644,0.00008019634],"category_scores_gemma":[0.00001628839,0.000052672982,0.00000858392,0.00019448694,0.000037010028,0.00017126166,0.00010286689,0.00014883507,0.000047241356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001962643,0.0006010352,0.07164551,0.0036618782,0.0016446713,0.0017158432,0.07252133,0.41864526,0.032113526,0.0063109794,0.23513296,0.15404435],"study_design_scores_gemma":[0.0025488797,0.00021564537,0.0021233743,0.0001993874,0.00008758297,0.004252509,0.011334834,0.7769086,0.0040577543,0.0000600277,0.19749846,0.00071298593],"about_ca_topic_score_codex":0.00005910997,"about_ca_topic_score_gemma":0.0006916188,"teacher_disagreement_score":0.35826328,"about_ca_system_score_codex":0.000015137764,"about_ca_system_score_gemma":0.000010131714,"threshold_uncertainty_score":0.21479419},"labels":[],"label_agreement":null},{"id":"W3010629155","doi":"10.1109/globecom38437.2019.9014295","title":"FDI Attacks against Real-Time DLMP in CPS-Based Smart Distribution Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Convex optimization; Distribution (mathematics); Mathematical optimization; Voltage; Optimization problem; Power (physics); Electric power system; Smart power; Regular polygon; Real-time computing; Engineering; Algorithm; Mathematics; Electrical engineering","score_opus":0.004010667408545855,"score_gpt":0.18981256972953703,"score_spread":0.18580190232099117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010629155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97267544,0.00008897681,0.0010658868,0.000039524337,0.0008222571,0.00028290047,0.000027301825,0.00035044053,0.024647264],"genre_scores_gemma":[0.99892896,0.00004876628,0.000029166407,0.000022807806,0.00006671138,0.000014339804,0.00013888188,0.000015704114,0.00073463924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991429,0.000029140436,0.00021622468,0.00017301495,0.0001586231,0.00028009585],"domain_scores_gemma":[0.999579,0.00006449145,0.000017741617,0.00025033913,0.000021962414,0.0000664645],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017551302,0.00012912603,0.000180464,0.000056163768,0.000026064654,0.00003581326,0.00012978588,0.00011892676,0.000097630975],"category_scores_gemma":[0.000012017384,0.00011602831,0.00004424568,0.00021883495,0.000021112,0.0001095431,0.000015024291,0.00013876085,0.0010782842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037650912,0.000118950775,0.061988685,0.00062996545,0.000030831907,0.000039253482,0.00024329453,0.87097543,0.04539735,0.001959127,0.017991055,0.0005884112],"study_design_scores_gemma":[0.0006214067,0.000038579532,0.022412391,0.00016491444,0.0000042618285,0.0000026641283,0.00008943334,0.9566233,0.004535752,0.0000070795186,0.015176573,0.00032363058],"about_ca_topic_score_codex":0.00015059797,"about_ca_topic_score_gemma":0.000047817317,"teacher_disagreement_score":0.08564789,"about_ca_system_score_codex":0.0001225133,"about_ca_system_score_gemma":0.000021493113,"threshold_uncertainty_score":0.9996995},"labels":[],"label_agreement":null},{"id":"W3011450389","doi":"10.1109/gcwkshps45667.2019.9024572","title":"Realistic Channel Models Pre-Training","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Training (meteorology); Computer science; Channel (broadcasting); Computer network; Geography","score_opus":0.03755727582260105,"score_gpt":0.23801067876103935,"score_spread":0.2004534029384383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011450389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082805716,0.002187553,0.59005135,0.00017787643,0.009465285,0.0010057894,0.00012989706,0.0026263748,0.31155017],"genre_scores_gemma":[0.99644595,0.00040506927,0.0006800789,0.000052288484,0.0003985342,0.000035960922,0.000053634092,0.00004676894,0.0018817369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989539,0.00001344683,0.00021761529,0.0003090875,0.0001904937,0.0003154611],"domain_scores_gemma":[0.99931246,0.000049725215,0.000027247763,0.00049905747,0.000027958784,0.00008354335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011739731,0.00024803745,0.00030009792,0.00008895398,0.000030059859,0.00005659322,0.0003610673,0.0003506252,0.00005528136],"category_scores_gemma":[0.0000145850445,0.00023264927,0.00009721885,0.00005724807,0.000022265287,0.00007668515,0.00025852612,0.0006190758,0.000082914696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018447224,0.0000051591746,0.0000030940407,0.0003885008,0.000030945157,0.0000043703412,0.0022554712,0.9926677,0.000023330573,0.0014507212,0.0028453318,0.00032352807],"study_design_scores_gemma":[0.00006634123,0.000007014279,0.0000656805,0.00020084596,0.000015397005,0.0000051182947,0.0001005127,0.98608935,0.00014591802,0.012463806,0.00051971484,0.00032029217],"about_ca_topic_score_codex":0.00012202432,"about_ca_topic_score_gemma":0.000045952977,"teacher_disagreement_score":0.9136402,"about_ca_system_score_codex":0.000070889466,"about_ca_system_score_gemma":0.00004949516,"threshold_uncertainty_score":0.94871616},"labels":[],"label_agreement":null},{"id":"W3011714086","doi":"10.1007/978-3-030-38557-6_11","title":"Big Data Application for Security of Renewable Energy Resources","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Guelph","funders":"","keywords":"Big data; Computer science; SWORD; Computer security; Renewable energy; Context (archaeology); Relation (database); Data science; Engineering; Database; Electrical engineering; World Wide Web; Data mining","score_opus":0.030072008229811726,"score_gpt":0.20925840485607045,"score_spread":0.1791863966262587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011714086","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000138305695,0.002716409,0.087768726,0.00010646893,0.0005155138,0.00031931626,0.0007500048,0.00030487284,0.90750486],"genre_scores_gemma":[0.2774948,0.011580905,0.0066685756,0.0008926764,0.01329976,0.00026506573,0.010056709,0.0007586621,0.67898285],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991728,0.0000027261344,0.0002526869,0.00031040495,0.0001477674,0.00011361341],"domain_scores_gemma":[0.9990649,0.00006752044,0.00006321518,0.00070768315,0.000035705696,0.000060925402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068645764,0.00017356806,0.00026847867,0.000057158133,0.000030299161,0.000010597053,0.0005611385,0.00023572636,0.000038010498],"category_scores_gemma":[0.000012707005,0.00016743912,0.00006147432,0.000030043817,0.000049569815,0.000047339243,0.0001507737,0.00010379563,0.000008399444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010509923,0.00004681721,0.000010996149,0.0036726152,0.00053360633,0.0000058626956,0.0008185287,0.017237183,0.0038940588,0.3804938,0.5534368,0.039744657],"study_design_scores_gemma":[0.00008317814,0.000020657924,6.3264645e-7,0.00004376052,0.00003240302,0.0000010005368,0.0000093781655,0.036238454,0.002355931,0.01537425,0.9456573,0.00018305221],"about_ca_topic_score_codex":0.00022126542,"about_ca_topic_score_gemma":0.000975751,"teacher_disagreement_score":0.39222053,"about_ca_system_score_codex":0.000014571968,"about_ca_system_score_gemma":0.00002131151,"threshold_uncertainty_score":0.68279696},"labels":[],"label_agreement":null},{"id":"W3012201832","doi":"10.1109/tsg.2020.3005634","title":"Real-Time Privacy-Preserving Data Release for Smart Meters","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Distortion (music); Measure (data warehouse); Information privacy; Focus (optics); Information sensitivity; Power consumption; Energy consumption; Artificial neural network; Data modeling","score_opus":0.03854082776267999,"score_gpt":0.24995847155181314,"score_spread":0.21141764378913314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012201832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15900451,0.00015417815,0.823249,0.0036888216,0.005890229,0.0014052117,0.0020493171,0.0022146893,0.002344074],"genre_scores_gemma":[0.98601294,0.0006933059,0.010696287,0.00065630017,0.0010416385,0.00016702274,0.00019426896,0.0001709627,0.00036726496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983837,0.00004324284,0.00034515825,0.0005239696,0.0002669182,0.00043700566],"domain_scores_gemma":[0.99831116,0.00026091113,0.0000349452,0.0010359429,0.00004282622,0.00031423813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001770686,0.00027378387,0.00029794287,0.00010271257,0.00024648698,0.000068527006,0.0009945334,0.00013179355,0.00022055271],"category_scores_gemma":[0.000043882923,0.00028244386,0.00015073006,0.00034673404,0.000059579856,0.00048684093,0.000012724893,0.0003314539,0.0003053213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007443375,0.00039846697,0.000077288285,0.0011805083,0.0007657052,0.00006971545,0.0035030115,0.47515363,0.18435477,0.00003658589,0.31842226,0.015293732],"study_design_scores_gemma":[0.0011568418,0.00025676787,0.0001557163,0.00009607196,0.00018343916,0.000014568366,0.00011786078,0.8104799,0.07615354,0.000036655038,0.11063765,0.0007109961],"about_ca_topic_score_codex":0.0000748942,"about_ca_topic_score_gemma":0.000048972055,"teacher_disagreement_score":0.8270084,"about_ca_system_score_codex":0.00005070128,"about_ca_system_score_gemma":0.000043240118,"threshold_uncertainty_score":0.99996275},"labels":[],"label_agreement":null},{"id":"W3013272437","doi":"10.1109/smc42975.2020.9283269","title":"A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Robustness (evolution); Computer science; Distributed computing","score_opus":0.0213694871154004,"score_gpt":0.19858942504643184,"score_spread":0.17721993793103144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013272437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07336576,0.00017531448,0.9224168,0.00006569534,0.00021361333,0.00016403504,0.0000046747846,0.00025470718,0.0033393772],"genre_scores_gemma":[0.88639456,0.00004752903,0.11230123,0.00026625942,0.0008982631,0.000012407232,0.000034737608,0.000029556117,0.000015472759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940914,0.000013426869,0.00012174345,0.00018118718,0.000082432576,0.00019209574],"domain_scores_gemma":[0.99973875,0.000016546162,0.0000113507895,0.00007888483,0.000019578067,0.00013487454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057769394,0.00010254443,0.000112409405,0.00002958967,0.000092511735,0.000052893094,0.00006964223,0.00003907078,0.000029508574],"category_scores_gemma":[0.000019070092,0.000103290324,0.000018462966,0.00022308089,0.000015918375,0.00017850181,0.00004615062,0.00009504674,0.000004220602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045806255,0.0000051306884,0.00004618091,0.00006003892,0.000006163502,0.0000015445797,0.00020080202,0.9955907,0.00016027056,0.00011531223,0.003388206,0.0004211085],"study_design_scores_gemma":[0.00010019814,0.000011223339,0.000075547,0.000027339645,0.0000083771365,0.000012217143,0.00005660777,0.99829215,0.0003808512,0.0000057262873,0.0008840839,0.00014570006],"about_ca_topic_score_codex":0.0000031873385,"about_ca_topic_score_gemma":8.030506e-7,"teacher_disagreement_score":0.81302875,"about_ca_system_score_codex":0.00002211919,"about_ca_system_score_gemma":0.000006888446,"threshold_uncertainty_score":0.4212057},"labels":[],"label_agreement":null},{"id":"W3020192530","doi":"10.1109/epec47565.2019.9074827","title":"Robust Feature Extraction and Ensemble Classification Against Cyber-Physical Attacks in the Smart Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Smart grid; Testbed; Feature extraction; Artificial intelligence; Intrusion detection system; Machine learning; Data mining; Cyber-physical system; Autoencoder; Classifier (UML); Boosting (machine learning); Pattern recognition (psychology); Deep learning; Engineering","score_opus":0.01648005026552398,"score_gpt":0.2303208427500466,"score_spread":0.21384079248452262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020192530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757935,0.000088184395,0.0006940221,0.00045847395,0.00040959797,0.0001694095,0.0000012446579,0.00007197178,0.022313606],"genre_scores_gemma":[0.99909765,0.00010254618,0.00012712118,0.00009688945,0.0001825924,0.0000093489225,0.000010367563,0.000008014687,0.00036547898],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995178,0.00002453635,0.00007187318,0.00013607644,0.000116230236,0.00013349367],"domain_scores_gemma":[0.99970543,0.00008229033,0.000011737002,0.00016518049,0.000010872036,0.00002447527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105646286,0.000084681866,0.00008111545,0.000037203437,0.000037840386,0.00004146901,0.000084901665,0.000077906196,0.000009194284],"category_scores_gemma":[0.00000660936,0.00005782004,0.000023213213,0.00013897876,0.000020857833,0.0001742888,0.000009526368,0.00026454584,0.00008602632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009622516,0.000617764,0.08714071,0.00053003494,0.00008206726,0.000046888323,0.01580317,0.21953313,0.50008273,0.018515728,0.1126849,0.04486666],"study_design_scores_gemma":[0.00043846245,0.000045256907,0.47931123,0.00004462295,0.000010221434,0.00002965424,0.002025542,0.46930692,0.004826571,0.00007302519,0.04358433,0.00030418564],"about_ca_topic_score_codex":0.000011640737,"about_ca_topic_score_gemma":0.00011830334,"teacher_disagreement_score":0.49525616,"about_ca_system_score_codex":0.000022549515,"about_ca_system_score_gemma":0.000005099522,"threshold_uncertainty_score":0.23578328},"labels":[],"label_agreement":null},{"id":"W3020305786","doi":"10.1049/joe.2019.1059","title":"Conundrum of fault detection in active hybrid AC–DC distribution networks","year":2020,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Graphical model; Leverage (statistics); Bayesian network; Probabilistic logic; Inference; Data mining; Bayesian probability; Key (lock); Artificial intelligence; Distributed computing","score_opus":0.005432465482219625,"score_gpt":0.17846954908426696,"score_spread":0.17303708360204734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020305786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7856237,0.0005024276,0.21335511,0.00006192961,0.00037145033,0.00004380336,0.0000036902748,0.000020708096,0.000017160193],"genre_scores_gemma":[0.99942285,0.0002966025,0.00003519146,0.000008469711,0.0002251535,5.695722e-7,9.654225e-7,0.000009764259,4.435092e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994433,0.000017698028,0.00025766663,0.000035194225,0.00011570092,0.00013046604],"domain_scores_gemma":[0.9997028,0.00009061888,0.000064977365,0.00005507085,0.000035040368,0.00005150318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017755339,0.00007926034,0.00015343199,0.000038242102,0.000016466807,0.000006503139,0.0001371381,0.000035493278,0.0000036887168],"category_scores_gemma":[0.0000806539,0.00006200098,0.00004963971,0.00018818642,0.000016007672,0.00014015492,0.000015882119,0.00039201282,8.82634e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003646889,0.000004614287,0.00003523876,0.000029248144,0.000021156975,0.000006007394,0.000339039,0.965336,0.03278406,0.00001073932,0.000038517243,0.0013588999],"study_design_scores_gemma":[0.00024393381,0.00007139558,0.004157914,0.00007924662,0.000017966971,0.000055438148,0.00014385952,0.8501054,0.14454307,0.00000752526,0.00049857685,0.00007568189],"about_ca_topic_score_codex":0.0000034575155,"about_ca_topic_score_gemma":0.0000028954903,"teacher_disagreement_score":0.21379912,"about_ca_system_score_codex":0.000051651903,"about_ca_system_score_gemma":0.0000070178367,"threshold_uncertainty_score":0.25283265},"labels":[],"label_agreement":null},{"id":"W3022740312","doi":"10.1109/tpwrs.2020.2993453","title":"Hidden Convexities in Decentralized Coordination for the Distribution Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Distributed computing; Smart grid; Convergence (economics); Grid; Electric power system; Identification (biology); Focus (optics); Mathematical optimization; Decomposition; Distributed generation; Power (physics); Engineering; Mathematics","score_opus":0.013717623207902834,"score_gpt":0.21151595229483716,"score_spread":0.19779832908693432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022740312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008653595,0.0007587872,0.98606366,0.000584945,0.0030782998,0.00056912727,0.000083218314,0.00015665355,0.000051712406],"genre_scores_gemma":[0.9995441,0.00012879532,0.000008771405,0.000054382745,0.0000360429,0.0001694048,0.00001031595,0.000014038605,0.000034154687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993566,0.000031950927,0.00020183578,0.00011641078,0.00010835387,0.00018483806],"domain_scores_gemma":[0.99961656,0.00018297226,0.000019900148,0.00010042522,0.000029197474,0.00005091753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103739345,0.000102949816,0.0001293789,0.000024184947,0.00010809545,0.00005058805,0.00011117538,0.00008408597,0.000015519092],"category_scores_gemma":[0.000005207375,0.00008231336,0.00006385122,0.00019861944,0.000033163386,0.00009652978,3.2640574e-7,0.00016341169,0.000010445983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005454814,0.000020269035,0.000026220056,0.0000691458,0.00003769052,0.0000013063425,0.0010424774,0.9946178,0.00013588612,0.00051246054,0.0031285882,0.0003535691],"study_design_scores_gemma":[0.0005718605,0.000053772652,0.00018006902,0.00004898134,0.000018377566,0.0000034081468,0.0007318169,0.9797571,0.0010484662,0.000006612476,0.017450824,0.00012871885],"about_ca_topic_score_codex":0.00003211618,"about_ca_topic_score_gemma":0.000038569677,"teacher_disagreement_score":0.9908905,"about_ca_system_score_codex":0.00006725556,"about_ca_system_score_gemma":0.000009785642,"threshold_uncertainty_score":0.33566415},"labels":[],"label_agreement":null},{"id":"W3023230141","doi":"10.1109/tcns.2020.3029151","title":"Generic Detectability and Isolability of Topology Failures in Networked Linear Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Network topology; Computer science; Topology (electrical circuits); Linear system; Control system; Distributed computing; Control engineering; Computer network; Engineering; Mathematics","score_opus":0.011618641585319382,"score_gpt":0.19778468312357042,"score_spread":0.18616604153825103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023230141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46575862,0.004778563,0.52669084,0.00008605377,0.0017923538,0.00071262795,0.00003693853,0.00009964182,0.000044344648],"genre_scores_gemma":[0.9993909,0.00015153765,0.000070114766,0.000018433144,0.00028759646,0.00005965027,5.76645e-7,0.000018295368,0.0000029054866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829763,0.00026989175,0.00072040706,0.00026069605,0.00015887701,0.00029248436],"domain_scores_gemma":[0.9990445,0.00042868263,0.000098898505,0.00025250186,0.00006164825,0.00011376871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037274667,0.0001890456,0.00068306166,0.000060819228,0.000047300928,0.00001071523,0.00015238581,0.00019317049,0.0000067376072],"category_scores_gemma":[0.000011677641,0.0001778434,0.000095866475,0.00039266687,0.00015435982,0.00007259293,0.0000013689361,0.0002874636,0.0000018066588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015189483,0.00003650567,0.0014417394,0.00054688344,0.00006986631,0.0000022794475,0.00026554192,0.99531764,0.0016459145,0.000032578835,0.00003551827,0.00045363544],"study_design_scores_gemma":[0.000942449,0.00024027757,0.0007009204,0.00010838406,0.000037901493,0.000007069733,0.0001728476,0.99675876,0.00041015886,0.000005389697,0.00046451818,0.00015130259],"about_ca_topic_score_codex":0.00030762397,"about_ca_topic_score_gemma":0.00025790025,"teacher_disagreement_score":0.5336323,"about_ca_system_score_codex":0.000038372345,"about_ca_system_score_gemma":0.000024371999,"threshold_uncertainty_score":0.7252243},"labels":[],"label_agreement":null},{"id":"W3024552621","doi":"10.1109/tsg.2020.2993944","title":"A New Approach to Reliability Assessment and Improvement of Synchrophasor Communications in Smart Grids","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phasor; Smart grid; Reliability (semiconductor); Data transmission; Engineering; Transmission (telecommunications); Fault (geology); Probabilistic logic; Wireless; Real-time computing; Computer science; Reliability engineering; Communications system; Electric power system; Power (physics); Telecommunications; Electrical engineering","score_opus":0.02420842467551956,"score_gpt":0.2665263234804859,"score_spread":0.24231789880496632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024552621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27406102,0.00009797266,0.72023976,0.0017507933,0.00073589524,0.0008305524,0.00009001872,0.00017409328,0.0020198808],"genre_scores_gemma":[0.98239666,0.00021398746,0.017003102,0.00019598796,0.00004378236,0.00009876785,0.000004677545,0.000019692112,0.000023356379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888134,0.00004165105,0.00037589052,0.000288422,0.00020181798,0.00021085492],"domain_scores_gemma":[0.99903536,0.000097323595,0.000025910489,0.00056924106,0.000032027823,0.00024015692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018399302,0.00016955717,0.00026214137,0.0001136112,0.0000839521,0.000021533619,0.00030281272,0.000079405014,0.00003454144],"category_scores_gemma":[0.0000066242737,0.00017170802,0.00007001988,0.00047673477,0.00007424442,0.00011953698,0.000007855262,0.0003879595,0.00001602275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025756296,0.0019435395,0.0029982298,0.001204324,0.00023506583,0.000005780926,0.009883211,0.8604449,0.061132316,0.00045527378,0.0069802864,0.05445951],"study_design_scores_gemma":[0.005149017,0.0019937167,0.041148778,0.00036899076,0.00023285845,0.00002205487,0.0020709182,0.81027704,0.105525695,0.00018878299,0.031224294,0.0017978564],"about_ca_topic_score_codex":0.0002361842,"about_ca_topic_score_gemma":0.000118511714,"teacher_disagreement_score":0.7083356,"about_ca_system_score_codex":0.00010311873,"about_ca_system_score_gemma":0.00006980384,"threshold_uncertainty_score":0.70020497},"labels":[],"label_agreement":null},{"id":"W3025332718","doi":"","title":"On optimality of MIA for unknown leakage models and related new practical results","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Leakage (economics); Computer science; Economics","score_opus":0.020364247615114323,"score_gpt":0.2486270543840493,"score_spread":0.22826280676893498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025332718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2591062,0.0012937277,0.64924765,0.008844797,0.0007605353,0.0011551416,0.00021334479,0.00050494337,0.078873664],"genre_scores_gemma":[0.9517515,0.0005721355,0.04518049,0.000021846876,0.00002304141,0.000024608415,0.00022775384,0.000038943148,0.0021597408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974626,0.0010177792,0.00053599634,0.0004936144,0.0002471036,0.00024291239],"domain_scores_gemma":[0.99534726,0.0024662013,0.00023935588,0.0012239523,0.0005503455,0.00017288855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003197697,0.00024208373,0.00035931033,0.00010579297,0.00011496993,0.00010090534,0.00044392212,0.00037795003,0.00001365926],"category_scores_gemma":[0.0021789682,0.00024889343,0.00013172388,0.00013562321,0.00017767353,0.00010680515,0.00035844636,0.00061628065,0.000005638214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024741734,0.00063943025,0.00005391209,0.0016486731,0.00028999185,0.000006135191,0.017597882,0.21688895,0.0027403159,0.7267051,0.016111184,0.017071014],"study_design_scores_gemma":[0.0010112234,0.0000015300941,0.00037821633,0.0016613565,0.00005698494,0.000008496877,0.000028918874,0.9333294,0.022496589,0.03463865,0.006004603,0.0003840236],"about_ca_topic_score_codex":0.00021456133,"about_ca_topic_score_gemma":0.00020288098,"teacher_disagreement_score":0.71644044,"about_ca_system_score_codex":0.000050943625,"about_ca_system_score_gemma":0.00013035694,"threshold_uncertainty_score":0.9999963},"labels":[],"label_agreement":null},{"id":"W3029591338","doi":"10.1007/978-3-030-41560-0_1","title":"Fundamentals of Cyber-Physical Systems","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cyber-physical system; Scale (ratio); The Internet; Internet of Things; Computer science; Computer security; Engineering; Data science; Engineering management; Geography; World Wide Web","score_opus":0.012974567337437851,"score_gpt":0.19632171314362887,"score_spread":0.18334714580619102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029591338","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055047515,0.00097487477,0.00020266305,0.00001761362,0.00077143736,0.00016184669,0.000048113914,0.00019804414,0.9970749],"genre_scores_gemma":[0.72688234,0.0003403513,0.000059260252,0.000041710664,0.0011607809,0.000008106854,0.00003428021,0.000101178724,0.271372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935883,0.0000027002209,0.00019519891,0.00014223893,0.00019996607,0.00010107364],"domain_scores_gemma":[0.9996759,0.00003510719,0.00003261201,0.0001677304,0.000015642034,0.000072989955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000019284167,0.00018204006,0.0003588766,0.0000388481,0.000012953982,0.000012919813,0.0001449771,0.00014074387,0.00015384809],"category_scores_gemma":[0.000002130024,0.0001597955,0.00012044688,0.000015883857,0.000055869135,0.0000305905,0.000038161063,0.00021120961,0.00036299706],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007296917,0.000018658873,0.000007227367,0.0015055074,0.00030287693,0.000044313532,0.00049479847,0.006565236,0.0024780734,0.95768154,0.030183714,0.00071075046],"study_design_scores_gemma":[0.00029999216,0.00017066055,0.000021221962,0.00075167906,0.00012724735,0.00002387455,0.00011707021,0.032912374,0.0042722523,0.0037471724,0.9565726,0.0009838932],"about_ca_topic_score_codex":0.000008012027,"about_ca_topic_score_gemma":0.0000023506423,"teacher_disagreement_score":0.9539344,"about_ca_system_score_codex":0.000027255344,"about_ca_system_score_gemma":0.000010652857,"threshold_uncertainty_score":0.6516271},"labels":[],"label_agreement":null},{"id":"W3030814032","doi":"10.1007/978-3-030-35642-2_10","title":"Combating Intrusions in Smart Grid: Practical Defense and Forecasting Approaches","year":2020,"lang":"en","type":"book-chapter","venue":"Advanced sciences and technologies for security applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thunder Bay Regional Research Institute; Lakehead University","funders":"","keywords":"Smart grid; Denial-of-service attack; Computer security; Computer science; Smart meter; Computer network; Engineering; The Internet; Electrical engineering; World Wide Web","score_opus":0.05813327736431418,"score_gpt":0.2573439676376704,"score_spread":0.19921069027335625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030814032","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058462664,0.08832657,0.20705055,0.049176753,0.0018913596,0.027232844,0.002430282,0.0151584195,0.55027056],"genre_scores_gemma":[0.88609403,0.009428208,0.10229808,0.0001040637,0.00013847713,0.0015346118,0.00007884059,0.000080144404,0.00024354638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99868304,0.0000042860233,0.00033555037,0.0005444905,0.00014383612,0.00028879437],"domain_scores_gemma":[0.9990618,0.00053307327,0.00010888214,0.00020770638,0.000027660391,0.000060860577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021576937,0.0002538657,0.00032561654,0.00018284067,0.00044885793,0.000073119496,0.00025770813,0.000309684,0.0000015981519],"category_scores_gemma":[0.0002269077,0.00024084444,0.000046487814,0.00020824281,0.0009796803,0.00020797513,0.0002562367,0.000567522,0.0000016449198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005119723,0.000012417931,0.00007308976,0.00025210524,0.000012299123,0.000002142697,0.0002190518,0.00039153433,0.00006729265,0.9468772,0.00006454639,0.052023232],"study_design_scores_gemma":[0.00037723753,0.00017270706,0.000031535288,0.00023510134,0.00004149016,0.000061126084,0.0028058703,0.08746529,0.00033533122,0.7482979,0.15942402,0.0007523517],"about_ca_topic_score_codex":0.0000031023967,"about_ca_topic_score_gemma":0.00014849726,"teacher_disagreement_score":0.82763135,"about_ca_system_score_codex":0.000030806175,"about_ca_system_score_gemma":0.000031193664,"threshold_uncertainty_score":0.9821351},"labels":[],"label_agreement":null},{"id":"W3033069241","doi":"10.1049/iet-gtd.2020.0389","title":"Credibility‐based secure distributed load frequency control for power systems under false data injection attacks","year":2020,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Credibility; Computer science; Automatic frequency control; Computer security; Control (management); Power (physics); Electric power system; Reliability engineering; Engineering; Telecommunications; Artificial intelligence","score_opus":0.039066851090846975,"score_gpt":0.25711853899944226,"score_spread":0.21805168790859528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033069241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030053966,0.0011321431,0.9552134,0.0019683558,0.0011534733,0.00097243127,0.0090192575,0.00046885744,0.000018086717],"genre_scores_gemma":[0.97574955,0.000044837554,0.00030846018,0.00020519807,0.00043994907,0.000093088005,0.02312448,0.000029828669,0.00000458697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792576,0.00012137431,0.000564191,0.00059153925,0.00044860138,0.000348517],"domain_scores_gemma":[0.99877685,0.00007814794,0.000083662046,0.00047508717,0.00030140497,0.0002848406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038465948,0.00029318285,0.00029686137,0.000029128112,0.00030567657,0.00015521771,0.00031235404,0.00031464032,0.00006250829],"category_scores_gemma":[0.00012742473,0.000278118,0.00011553997,0.00035549095,0.00005293917,0.00047617656,0.000013029627,0.00025683193,0.0000147267465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001870429,0.0001229704,0.00018275857,0.00035553178,0.000069647,0.0000030739752,0.00021388181,0.8287063,0.11356748,0.0010142061,0.054801024,0.00077608705],"study_design_scores_gemma":[0.0016612115,0.00017431926,0.0003479548,0.0000465657,0.000075334356,0.0000033079787,0.00007494873,0.9534963,0.007709356,0.00006359141,0.036017325,0.00032977946],"about_ca_topic_score_codex":0.000022499684,"about_ca_topic_score_gemma":0.00001778307,"teacher_disagreement_score":0.954905,"about_ca_system_score_codex":0.0002507762,"about_ca_system_score_gemma":0.00017088855,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W3033411057","doi":"10.1002/awwa.1518","title":"Industrial Control Systems: Cyber Policies and Strategies","year":2020,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sophistication; Pace; Critical infrastructure; Resilience (materials science); Computer security; Key (lock); Business; Plan (archaeology); Control (management); Control system security; Risk analysis (engineering); SCADA; Industrial control system; Critical infrastructure protection; Computer science; Engineering; Network security policy; Information security; Security service","score_opus":0.008243426210947272,"score_gpt":0.19229335107629336,"score_spread":0.1840499248653461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033411057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952859,0.0001926939,0.0011063188,0.0019510457,0.0003418768,0.00013340772,0.000009959473,0.00021589291,0.00076285383],"genre_scores_gemma":[0.99905324,0.00008323119,0.000009600568,0.00023699233,0.0005609691,0.000010730489,0.0000067766364,0.000011921152,0.000026527665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934286,0.000048142745,0.00014206229,0.00010289079,0.00013941334,0.00022465715],"domain_scores_gemma":[0.99975353,0.00006189424,0.00004423439,0.000048302623,0.000023483193,0.00006858037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093146984,0.000094593386,0.00018241904,0.000027703107,0.00005487837,0.00018793014,0.000057714344,0.00007552203,0.000005888797],"category_scores_gemma":[0.0000298564,0.00007422509,0.000023502604,0.00013558833,0.000041553918,0.00020910832,0.000012865729,0.00017634445,0.000021963158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013661057,0.000056427245,0.27457798,0.00014884528,0.0009908968,0.000023552539,0.047770794,0.5988272,0.018152026,0.0013743449,0.042037968,0.015903419],"study_design_scores_gemma":[0.0103004025,0.0011719817,0.13893114,0.00046521108,0.0006132424,0.000021749147,0.07582276,0.57953405,0.01044368,0.00039395606,0.17845714,0.00384467],"about_ca_topic_score_codex":0.00025329014,"about_ca_topic_score_gemma":0.000013376104,"teacher_disagreement_score":0.13641918,"about_ca_system_score_codex":0.0000724821,"about_ca_system_score_gemma":0.000008226669,"threshold_uncertainty_score":0.30268115},"labels":[],"label_agreement":null},{"id":"W3035621718","doi":"10.1145/3571288","title":"CANOA: CAN Origin Authentication through Power Side-channel Monitoring","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Side channel attack; Channel (broadcasting); Authentication (law); Computer science; Power (physics); Computer security; Computer network; Cryptography; Physics","score_opus":0.01967213479173395,"score_gpt":0.24588292867352327,"score_spread":0.22621079388178933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035621718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96682155,0.00023412361,0.023061628,0.0003507743,0.0070291013,0.00049309817,0.0001382614,0.0006539472,0.0012175424],"genre_scores_gemma":[0.99879175,0.000024673242,0.00004918506,0.000016625863,0.00033318135,0.00036972866,0.000008176612,0.000045957717,0.0003607201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998546,0.00007989676,0.00024534517,0.00030362266,0.00046346892,0.00036167944],"domain_scores_gemma":[0.9991055,0.00015707286,0.000037271282,0.0005596194,0.000034468823,0.00010604587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008865195,0.00021476521,0.00024266247,0.00008097655,0.00053167,0.000053370528,0.0003854178,0.000059880662,0.000035686866],"category_scores_gemma":[0.000009450925,0.00021798276,0.00013555394,0.00045836365,0.000043413107,0.00017268567,0.000011882169,0.00051764835,0.000075285134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022181322,0.00039467035,0.00007843027,0.00009583837,0.00015461231,0.00001976188,0.012229428,0.9723378,0.01181719,0.0012541037,0.00037326358,0.001222746],"study_design_scores_gemma":[0.006855579,0.0029640405,0.013891106,0.0011820684,0.0011274056,0.00058925955,0.06617436,0.47480285,0.16924633,0.012864145,0.2414958,0.008807038],"about_ca_topic_score_codex":0.0009993197,"about_ca_topic_score_gemma":0.000032881704,"teacher_disagreement_score":0.4975349,"about_ca_system_score_codex":0.0003438211,"about_ca_system_score_gemma":0.00003190222,"threshold_uncertainty_score":0.88890785},"labels":[],"label_agreement":null},{"id":"W3037922012","doi":"10.1109/tac.2020.3004326","title":"Setpoint Attack Detection in Cyber-Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Setpoint; Computer science; Exploit; Controller (irrigation); Cyber-physical system; SIGNAL (programming language); Control system; Control theory (sociology); Detector; Real-time computing; Control (management); Engineering; Computer security; Artificial intelligence","score_opus":0.010697946092533998,"score_gpt":0.21723395689940964,"score_spread":0.20653601080687564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037922012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47839558,0.00004001381,0.5194277,0.00021336977,0.0007664777,0.00037241238,0.000014645014,0.0005847315,0.00018504659],"genre_scores_gemma":[0.99961805,0.000007682263,0.000024975725,0.00009852191,0.00010783446,0.00010666567,3.6386405e-7,0.000022010921,0.000013868932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991274,0.00005394175,0.00025118876,0.00016931888,0.00018160618,0.00021653363],"domain_scores_gemma":[0.9995716,0.00013621258,0.000021407677,0.00014422329,0.000014343759,0.00011218857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065428954,0.00015421778,0.0002601266,0.00008719421,0.000058071935,0.000036976995,0.00010049631,0.00007547272,0.00003033917],"category_scores_gemma":[0.000006278004,0.00014842072,0.00009509918,0.00028185282,0.00002617335,0.00011304841,3.0945492e-7,0.0002477529,0.00025153533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021407008,0.00007266529,0.0000035294272,0.00013998516,0.0000443226,0.000012394876,0.0011382408,0.97114325,0.011161103,0.0000075107787,0.00006022768,0.016195383],"study_design_scores_gemma":[0.0009002709,0.00010615885,0.00025614136,0.000049295057,0.00002734893,0.000008620038,0.00011998206,0.9910643,0.0070777973,0.0000052157084,0.00023124133,0.000153611],"about_ca_topic_score_codex":0.000022199054,"about_ca_topic_score_gemma":0.000066089095,"teacher_disagreement_score":0.5212225,"about_ca_system_score_codex":0.000083477156,"about_ca_system_score_gemma":0.000012935794,"threshold_uncertainty_score":0.60524213},"labels":[],"label_agreement":null},{"id":"W3039148810","doi":"","title":"Real-Time Privacy-Preserving Data Release for Smart Meters","year":2020,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Information privacy; Smart meter; Computer science; Computer security; Smart grid; Internet privacy; Engineering; Electrical engineering","score_opus":0.03472280729829837,"score_gpt":0.23561592923207858,"score_spread":0.20089312193378023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039148810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736197,0.00021905506,0.000031359006,0.0003456192,0.00086347066,0.0009421916,0.0027421685,0.0015953616,0.019641045],"genre_scores_gemma":[0.9890611,0.00037197795,0.008968886,0.000545649,0.0001863769,0.00007307712,0.00035876335,0.00019861644,0.00023555677],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970483,0.00012883035,0.0005909807,0.00094906107,0.0004704419,0.00081234623],"domain_scores_gemma":[0.99709225,0.00042065722,0.00009882582,0.001649965,0.00010199125,0.00063633773],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062429614,0.0004622028,0.00049719407,0.000117137424,0.0006045739,0.00009940084,0.0023637258,0.00026254385,0.00019391076],"category_scores_gemma":[0.0019309544,0.00049176096,0.00018552056,0.00052667805,0.00007119165,0.0014515308,0.0011541492,0.0006308954,0.00045361483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039174952,0.0001966946,0.0001402125,0.0016477248,0.00061581313,0.00020249434,0.00008416288,0.00953017,0.91914517,0.011955292,0.0034294955,0.052661017],"study_design_scores_gemma":[0.0024419075,0.00032960516,0.00059253984,0.000288258,0.0002880719,0.00004330547,0.00013868796,0.17202069,0.16634141,0.004704312,0.65070444,0.00210674],"about_ca_topic_score_codex":0.00009805349,"about_ca_topic_score_gemma":0.00005067215,"teacher_disagreement_score":0.75280374,"about_ca_system_score_codex":0.00016835597,"about_ca_system_score_gemma":0.00002216531,"threshold_uncertainty_score":0.9997534},"labels":[],"label_agreement":null},{"id":"W3041587426","doi":"10.1145/3389682","title":"A User-centric Approach toward Resilient Frequency-regulating Wind Generators","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cyber-physical system; Resilience (materials science); Wind power; Computer science; Physical layer; Electric power system; Attack surface; Smart grid; Computer security; Frequency regulation; Power (physics); Engineering; Telecommunications; Electrical engineering","score_opus":0.01903137489880301,"score_gpt":0.2168724494799036,"score_spread":0.1978410745811006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041587426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.844917,0.00043402018,0.14992651,0.00038183943,0.0012470915,0.00069661305,0.00006283527,0.00084400096,0.0014900859],"genre_scores_gemma":[0.9979283,0.00002752239,0.0010060004,0.00007118316,0.0007982416,0.000062622465,0.000010168229,0.000058065747,0.00003785953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807733,0.000095522424,0.00038185163,0.0004801338,0.00048966845,0.00047546538],"domain_scores_gemma":[0.99892294,0.00012912619,0.000047715654,0.0005051996,0.000044790748,0.00035023293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008113983,0.00032708334,0.00040833853,0.00009030698,0.00022681337,0.00010612227,0.00047331248,0.00015384045,0.000018057575],"category_scores_gemma":[0.000030111913,0.00029792363,0.00021518205,0.00082954764,0.00006862539,0.00021492157,0.00000989026,0.00052331964,0.00016986013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020244675,0.000255252,0.00015567277,0.00039363888,0.00015195926,0.000012847357,0.0035141872,0.9796653,0.011715111,0.00079290615,0.00054888363,0.0027740246],"study_design_scores_gemma":[0.0016807675,0.0004520174,0.0013852507,0.00024986736,0.00021515432,0.000047625075,0.002366073,0.9539539,0.029530626,0.00022555052,0.008262973,0.0016301721],"about_ca_topic_score_codex":0.000094991454,"about_ca_topic_score_gemma":0.0000032808186,"teacher_disagreement_score":0.15301134,"about_ca_system_score_codex":0.0001290746,"about_ca_system_score_gemma":0.000031398136,"threshold_uncertainty_score":0.9999473},"labels":[],"label_agreement":null},{"id":"W3041614295","doi":"10.1109/tii.2020.3007425","title":"On the Resiliency of Power and Gas Integration Resources Against Cyber Attacks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electric power system; Cyber-physical system; Scheduling (production processes); Artificial neural network; Real-time computing; System integration; Smart grid; Distributed computing; Power (physics); Embedded system; Artificial intelligence; Engineering; Operating system","score_opus":0.02606878321673955,"score_gpt":0.21633015968093242,"score_spread":0.19026137646419286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041614295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604394,0.000014155041,0.031708978,0.0007423208,0.000595019,0.00027090436,0.000040990843,0.00009732376,0.0060909092],"genre_scores_gemma":[0.9994266,0.00008638931,0.000062626605,0.00032818114,0.000058805228,0.000008669113,0.0000014268115,0.000009392631,0.00001791872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919444,0.000027269685,0.00037833277,0.000058767342,0.00021171934,0.00012946049],"domain_scores_gemma":[0.9994666,0.00022352395,0.000057106296,0.00015010627,0.000029398563,0.000073254174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012446298,0.00012666127,0.00013809475,0.00007237423,0.000121365396,0.000039933075,0.0001345206,0.0001547546,0.000052624582],"category_scores_gemma":[0.000040233746,0.000088664885,0.000053756456,0.0002666232,0.000099085904,0.00018349376,0.0000012783323,0.00054938265,0.000024426248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034947996,0.00012349903,0.000023883771,0.000117132426,0.00015006406,0.0000024603264,0.064737186,0.8598439,0.0022319795,0.0013503415,0.020364456,0.05070562],"study_design_scores_gemma":[0.0036086373,0.002012373,0.00012678745,0.0008682434,0.0001477861,0.000013176616,0.025936052,0.5921328,0.3458663,0.00034423373,0.027823204,0.0011203804],"about_ca_topic_score_codex":0.000004621131,"about_ca_topic_score_gemma":0.000005235405,"teacher_disagreement_score":0.3436343,"about_ca_system_score_codex":0.000021317874,"about_ca_system_score_gemma":0.000016989758,"threshold_uncertainty_score":0.3615649},"labels":[],"label_agreement":null},{"id":"W3043869778","doi":"10.1109/tcyb.2020.3005283","title":"Resilient Distributed Fuzzy Load Frequency Regulation for Power Systems Under Cross-Layer Random Denial-of-Service Attacks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Thousand Young Talents Program of China; National Key Research and Development Program of China; State Key Laboratory of Robotics and System; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Electric power system; Denial-of-service attack; Phasor measurement unit; Computer science; Lyapunov function; Controller (irrigation); Fuzzy logic; Automatic frequency control; Lyapunov stability; Fuzzy control system; Nonlinear system; Power (physics); Phasor; Control (management); The Internet; Telecommunications","score_opus":0.022160897979448188,"score_gpt":0.2526315274621564,"score_spread":0.2304706294827082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043869778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20210353,0.00031128718,0.79411995,0.0003224318,0.0015748738,0.0006101998,0.00037477005,0.00019732155,0.00038566382],"genre_scores_gemma":[0.9990722,0.000061370345,0.0004913075,0.000104666025,0.00008488429,0.00006063581,0.000021790376,0.00004361608,0.00005951099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855846,0.000038154823,0.00048302003,0.0002747989,0.00035929744,0.0002862917],"domain_scores_gemma":[0.99901474,0.00020358546,0.00006920608,0.0002875877,0.00026983704,0.00015504185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171549,0.00022512324,0.00028946463,0.000054977096,0.00012760465,0.000060128135,0.0002057111,0.00022084772,0.00005686324],"category_scores_gemma":[0.0000149760945,0.0002266979,0.00014492791,0.00038709003,0.00007049736,0.00012416506,0.0000014337529,0.00023794443,0.000042918906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020393544,0.00006285081,0.000028800729,0.00021494026,0.0000741511,0.0000014516158,0.0006827068,0.98245317,0.015298322,0.00037392584,0.0005301332,0.00007564235],"study_design_scores_gemma":[0.0073514697,0.0005290034,0.0025219314,0.00035114007,0.00029854375,0.000019006158,0.00041181166,0.835506,0.14576437,0.00079050224,0.005413726,0.0010424479],"about_ca_topic_score_codex":0.0000753417,"about_ca_topic_score_gemma":0.00011969007,"teacher_disagreement_score":0.7969687,"about_ca_system_score_codex":0.000129211,"about_ca_system_score_gemma":0.00005810975,"threshold_uncertainty_score":0.9244472},"labels":[],"label_agreement":null},{"id":"W3044727289","doi":"10.1007/978-3-030-45541-5_8","title":"AI-Enabled Security Monitoring in Smart Cyber Physical Grids","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cyber-physical system; Computer security; Computer science; Smart grid; Engineering; Electrical engineering; Operating system","score_opus":0.009877273845214326,"score_gpt":0.21326031887356453,"score_spread":0.2033830450283502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044727289","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0086718425,0.0006502592,0.000091006536,0.0002716648,0.0022985311,0.00033825808,0.000022035252,0.0007492163,0.9869072],"genre_scores_gemma":[0.9327928,0.00060449285,0.00011974235,0.00022450369,0.004427124,0.000031687858,0.000032539916,0.00021167789,0.061555427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998587,0.000009563723,0.00030396174,0.00041171245,0.00033151178,0.00035623772],"domain_scores_gemma":[0.9993928,0.000064488246,0.0000276884,0.0003104082,0.00003104551,0.00017358351],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006514265,0.00043804865,0.00054083456,0.00012817199,0.000043061118,0.00005105891,0.0002917021,0.00037816854,0.00019660061],"category_scores_gemma":[0.000011910849,0.00042616986,0.00018487773,0.00007768606,0.000062107305,0.00015391209,0.00011595103,0.0013507537,0.0005476424],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021532887,0.00043990553,0.004815731,0.005206506,0.0012893773,0.0033691982,0.016866993,0.030617282,0.004956758,0.7965163,0.12678461,0.008922],"study_design_scores_gemma":[0.0015480623,0.00018164128,0.0012312989,0.0014766433,0.00015766252,0.000038792525,0.00015486003,0.058147874,0.010447314,0.0723062,0.85056937,0.0037402962],"about_ca_topic_score_codex":0.000031862768,"about_ca_topic_score_gemma":0.000053925178,"teacher_disagreement_score":0.92535174,"about_ca_system_score_codex":0.00012861686,"about_ca_system_score_gemma":0.00003371926,"threshold_uncertainty_score":0.99981904},"labels":[],"label_agreement":null},{"id":"W3045170287","doi":"10.1109/icsmartgrid49881.2020.9144947","title":"Modelling False Data Injection Attacks Against Non-linear State Estimation in AC Power Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Vulnerability (computing); Smart grid; Computer science; Process (computing); Grid; State (computer science); Electric power system; Computational complexity theory; Vulnerability assessment; Estimation; Power grid; Power (physics); Distributed computing; Reliability engineering; Computer security; Real-time computing; Algorithm; Engineering; Mathematics","score_opus":0.03566122660656462,"score_gpt":0.2532224659408373,"score_spread":0.21756123933427268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045170287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3914414,0.00010675102,0.60706466,0.00004231183,0.00033339483,0.0001367099,0.000014849738,0.00016910565,0.000690811],"genre_scores_gemma":[0.9981357,0.00009677851,0.0015537246,0.000056916317,0.000040155734,0.00000489496,0.00007281928,0.000017692208,0.000021356043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992293,0.000015196913,0.00023613336,0.00021165879,0.00013876999,0.00016893022],"domain_scores_gemma":[0.99962187,0.000024967458,0.000019746643,0.00024435855,0.000018818024,0.00007025312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013540003,0.00010634648,0.00012892886,0.00005764906,0.000032921307,0.000044082568,0.0002016632,0.000060891834,0.000005744708],"category_scores_gemma":[0.00002067163,0.00010165504,0.000014180892,0.00024424167,0.0000116681695,0.00045692932,0.000061698214,0.00018334028,0.0000851191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005985212,0.000008146644,0.00016984936,0.00007949073,0.000006644859,0.00000536594,0.0008399549,0.99790823,0.00030135055,0.000014915509,0.0005235126,0.00013652183],"study_design_scores_gemma":[0.00015504919,0.000020509551,0.000040454262,0.000043798053,0.0000024115477,0.0000015714627,0.00019549175,0.9985176,0.00030076297,0.000005791779,0.0005892891,0.00012727018],"about_ca_topic_score_codex":0.00011032454,"about_ca_topic_score_gemma":0.000027465232,"teacher_disagreement_score":0.6066943,"about_ca_system_score_codex":0.00003275444,"about_ca_system_score_gemma":0.000013482498,"threshold_uncertainty_score":0.41453722},"labels":[],"label_agreement":null},{"id":"W3045247705","doi":"10.1007/978-3-030-45541-5_9","title":"Application of Machine Learning in State Estimation of Smart Cyber-Physical Grid","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Smart grid; Cyber-physical system; Computer science; Grid; Electric power system; Process (computing); Cyber-attack; Estimator; Distributed computing; Estimation; State (computer science); Computer security; Real-time computing; Engineering; Power (physics); Systems engineering; Algorithm","score_opus":0.006281059196364877,"score_gpt":0.20345997247581324,"score_spread":0.19717891327944836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045247705","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051538512,0.0014088409,0.21754034,0.00027175798,0.0007835162,0.0018063975,0.00024294679,0.0009585867,0.7254491],"genre_scores_gemma":[0.99494606,0.00015716694,0.00058333913,0.0000076053693,0.000066857836,0.00000795323,0.000115304756,0.00003885756,0.004076871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933463,0.000006065531,0.00028177717,0.0001384861,0.00016199613,0.000077062774],"domain_scores_gemma":[0.9996948,0.000053206477,0.00008143718,0.00011701673,0.000022055545,0.00003143747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051607458,0.00014001488,0.00029246553,0.000093304574,0.000009132828,0.000003205915,0.0000948056,0.000088148714,0.00002288549],"category_scores_gemma":[0.000012164578,0.00013740073,0.000060460683,0.000048903665,0.000040764207,0.000047405785,0.000028757564,0.00032667432,0.000029929402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028293087,0.000027144828,0.00022677756,0.0008307791,0.000047377187,0.0000035831717,0.00081958366,0.93165016,0.0025164604,0.037514623,0.00012912997,0.026206091],"study_design_scores_gemma":[0.00013177634,0.000057773927,0.0002990778,0.00009815003,0.000014782491,9.854919e-7,0.0000046240434,0.9870452,0.0041912347,0.0029240795,0.0050716517,0.00016061132],"about_ca_topic_score_codex":0.00006351823,"about_ca_topic_score_gemma":0.000072613366,"teacher_disagreement_score":0.94340754,"about_ca_system_score_codex":0.000024431598,"about_ca_system_score_gemma":0.000012228566,"threshold_uncertainty_score":0.5603039},"labels":[],"label_agreement":null},{"id":"W3045290963","doi":"10.1007/978-3-030-45541-5_1","title":"AI and Security of Cyber Physical Systems: Opportunities and Challenges","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cyber-physical system; Computer security; Computer science; The Internet; Security controls; Internet of Things; Industrial control system; Control (management); World Wide Web; Artificial intelligence","score_opus":0.04194855992072187,"score_gpt":0.2103205064431098,"score_spread":0.1683719465223879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045290963","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002056861,0.06899902,0.000028465014,0.0010483868,0.0003818437,0.0002534874,0.0000941701,0.00023645988,0.9269013],"genre_scores_gemma":[0.8200541,0.15858194,0.000018080247,0.00011205421,0.0007722902,0.000009925391,0.00001547007,0.00008622446,0.020349927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994062,0.0000067098154,0.00015996509,0.00018334799,0.00014399363,0.00009979398],"domain_scores_gemma":[0.99965495,0.000052666688,0.000029758388,0.00012765866,0.000028597637,0.00010637381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038427555,0.00021569587,0.00041170316,0.00004930677,0.000021187005,0.000018238898,0.00006662305,0.00017758882,0.000018684856],"category_scores_gemma":[0.0000034351383,0.0001885679,0.000042325926,0.000006435376,0.00016811123,0.000067621455,0.000065820874,0.00024033198,0.00000472746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004777079,0.0000071436834,0.0000017434519,0.003777527,0.00012644529,0.000033338783,0.0023129017,0.000036874568,0.000021947879,0.98983145,0.0019278914,0.0019179849],"study_design_scores_gemma":[0.0004497732,0.00024969928,0.0000630341,0.0013476313,0.00021243417,0.00010475292,0.0019771834,0.032742232,0.0002623158,0.020950818,0.94039017,0.0012499703],"about_ca_topic_score_codex":0.000007979587,"about_ca_topic_score_gemma":0.000012327021,"teacher_disagreement_score":0.9688806,"about_ca_system_score_codex":0.000007410462,"about_ca_system_score_gemma":0.0000118044745,"threshold_uncertainty_score":0.76895756},"labels":[],"label_agreement":null},{"id":"W3045854191","doi":"10.1109/icc40277.2020.9149212","title":"A Co-simulation Platform for Evaluating Cyber Security and Control Applications in the Smart Grid","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Smart grid; Computer science; Grid; Distributed computing; Fidelity; Telecommunications network; Control (management); Embedded system; Engineering; Computer network; Telecommunications; Electrical engineering","score_opus":0.029499749999559472,"score_gpt":0.2949006515345819,"score_spread":0.26540090153502244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045854191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8371005,0.0002667362,0.1562871,0.0008944701,0.00008424628,0.0019591867,0.000045119326,0.00017243226,0.003190229],"genre_scores_gemma":[0.99906033,0.000007363132,0.00022587752,0.00039669164,0.0001241649,0.00016297286,0.000014500408,0.000006240082,0.0000018420659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954915,0.0000115086505,0.00012960861,0.00010202575,0.00009425048,0.00011346971],"domain_scores_gemma":[0.99944997,0.00041207185,0.000012753241,0.00007314303,0.000018025856,0.000034044002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146062,0.00006697597,0.00008246209,0.00001732412,0.0000803273,0.00002941508,0.000076533746,0.000040076884,0.000011659557],"category_scores_gemma":[0.000054819946,0.000047362035,0.000022477367,0.00010243492,0.00002030832,0.000095135474,0.0000045698716,0.00009440212,0.0000046845025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011956918,0.00009889657,0.02658658,0.00058453734,0.00007308562,0.0000017088199,0.04431961,0.8997371,0.00489413,0.013468635,0.0028537682,0.007262365],"study_design_scores_gemma":[0.00054938765,0.000030575888,0.003781797,0.000004000294,0.000009678265,7.0225985e-7,0.00068318663,0.98851734,0.00026715323,0.00060301466,0.0054784566,0.000074731615],"about_ca_topic_score_codex":0.0000080187065,"about_ca_topic_score_gemma":0.00004341587,"teacher_disagreement_score":0.16195986,"about_ca_system_score_codex":0.00001003284,"about_ca_system_score_gemma":0.0000066440543,"threshold_uncertainty_score":0.19313678},"labels":[],"label_agreement":null},{"id":"W3046172285","doi":"10.1007/978-3-319-32903-1_246-1","title":"Cyber-Physical Security in Smart Grid Communications","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Smart grid; Cyber-physical system; Computer security; Computer science; Engineering; Electrical engineering; Operating system","score_opus":0.015029371366987449,"score_gpt":0.23240045557344427,"score_spread":0.21737108420645682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046172285","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003281059,0.0005390463,0.000025861831,0.000114901864,0.0006794899,0.00019281905,0.000046861154,0.00029809665,0.99482185],"genre_scores_gemma":[0.60113823,0.0062451973,0.0010446555,0.00045388567,0.00457457,0.00009523481,0.00051461754,0.00036841372,0.38556516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999143,0.000011688544,0.00023956211,0.00021149612,0.00017216013,0.00022209407],"domain_scores_gemma":[0.9987288,0.000102736325,0.00002726032,0.0010208244,0.000037355534,0.00008298953],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008473237,0.0002582673,0.00030933967,0.00012534017,0.000058900278,0.000024926785,0.0006259865,0.0002834112,0.0006673621],"category_scores_gemma":[0.000008782612,0.0002515981,0.00011521203,0.00004567657,0.00026881462,0.00008148433,0.00020879714,0.0007198315,0.0012715682],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019524974,0.0002770877,0.00023154705,0.00047279883,0.00027229005,0.00006620598,0.013950809,0.0002929132,0.00014993128,0.7124065,0.26909593,0.0027644446],"study_design_scores_gemma":[0.00015770823,0.0000318756,0.00013497185,0.00017767271,0.000022304706,0.000009143439,0.000030454274,0.015108614,0.00012063979,0.034968194,0.9487147,0.00052375655],"about_ca_topic_score_codex":0.000039672028,"about_ca_topic_score_gemma":0.0015934195,"teacher_disagreement_score":0.6796187,"about_ca_system_score_codex":0.00007949909,"about_ca_system_score_gemma":0.000024546951,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W3047363982","doi":"10.1109/lwc.2020.3036094","title":"Learning Power Control From a Fixed Batch of Data","year":2020,"lang":"en","type":"preprint","venue":"IEEE Wireless Communications Letters","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Exploit; Reinforcement learning; Computer science; Control (management); Power (physics); Power control; Rest (music); Data transmission; Transmission (telecommunications); Artificial intelligence; Machine learning; Computer network; Computer security; Telecommunications","score_opus":0.04025398243726231,"score_gpt":0.2652640322137783,"score_spread":0.225010049776516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047363982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8908908,0.0030784158,0.08322999,0.016705973,0.0017061115,0.0007450471,0.0018707622,0.0008688122,0.0009040975],"genre_scores_gemma":[0.99306536,0.001110016,0.0041123247,0.00048805063,0.00012188304,0.000033335047,0.0010072092,0.000057296602,0.0000045260226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983717,0.00025001576,0.0005125036,0.00039112792,0.00024994748,0.00022470616],"domain_scores_gemma":[0.994273,0.00058281946,0.00017842227,0.004824454,0.000051896714,0.0000894302],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018411291,0.00027825497,0.0005143306,0.0000931712,0.00012636252,0.00006317699,0.005085681,0.00022996982,0.000033051256],"category_scores_gemma":[0.000051931627,0.0003160409,0.00011476762,0.00017487603,0.0002725832,0.00015765495,0.0015479593,0.0018423031,0.000043420125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006623497,0.00024462302,0.0039168843,0.0007147682,0.0019077439,0.000026552429,0.015782816,0.5622822,0.35302582,0.00023938065,0.055455584,0.00633738],"study_design_scores_gemma":[0.00072958897,0.000018635446,0.0023227124,0.00059005077,0.00018614542,0.0000021222982,0.00045259096,0.97599226,0.0022744066,0.00009489394,0.016611036,0.00072553946],"about_ca_topic_score_codex":0.00035857398,"about_ca_topic_score_gemma":0.00008729366,"teacher_disagreement_score":0.4137101,"about_ca_system_score_codex":0.000052745447,"about_ca_system_score_gemma":0.00005253758,"threshold_uncertainty_score":0.9999292},"labels":[],"label_agreement":null},{"id":"W3047621094","doi":"10.1016/j.cose.2020.101994","title":"Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning","year":2020,"lang":"en","type":"article","venue":"Computers & Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Saskatchewan","keywords":"Computer science; Scheme (mathematics); Ensemble learning; Artificial intelligence; Machine learning; Smart grid; Unsupervised learning; Labeled data; Data mining; Pattern recognition (psychology)","score_opus":0.048206534104030994,"score_gpt":0.2610741400248,"score_spread":0.212867605920769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047621094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90583426,0.0008548702,0.09094299,0.00048232003,0.0011582857,0.00028036116,0.000018528859,0.00035681928,0.000071581315],"genre_scores_gemma":[0.997747,0.000030090021,0.00095797563,0.000642998,0.0005303213,0.00000355226,0.00006123181,0.000026568314,2.4607797e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982934,0.00033891734,0.00032093123,0.00040597082,0.0002641175,0.00037668605],"domain_scores_gemma":[0.9990689,0.0002976862,0.000065450666,0.00043486193,0.0000244982,0.0001085647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007315047,0.00021887396,0.00023816436,0.00009149339,0.00025597023,0.00011265477,0.0007225242,0.000102210666,0.00000523246],"category_scores_gemma":[0.00011583171,0.00019608317,0.000055445053,0.00059121416,0.00004829683,0.0002753479,0.00021527834,0.0010012385,0.000010583147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051954692,0.0000607401,0.015938642,0.00039640197,0.00002879595,0.00008292849,0.010523155,0.96249366,0.0013819027,0.00002168873,0.0008119403,0.008208176],"study_design_scores_gemma":[0.00044247226,0.000080520935,0.001422089,0.00006785118,0.000013593967,0.000026515825,0.00029638008,0.9923053,0.0004456052,0.000022136277,0.004653572,0.00022396437],"about_ca_topic_score_codex":0.0002927952,"about_ca_topic_score_gemma":0.00046850016,"teacher_disagreement_score":0.09191277,"about_ca_system_score_codex":0.00007171704,"about_ca_system_score_gemma":0.000038746766,"threshold_uncertainty_score":0.799604},"labels":[],"label_agreement":null},{"id":"W3081806177","doi":"10.1109/ccwc51732.2021.9376126","title":"Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reinforcement learning; Computer science; Relay; Microgrid; Adversary; Controller (irrigation); Distributed computing; Software; Control (management); Electric power system; Embedded system; Computer security; Artificial intelligence; Power (physics); Operating system","score_opus":0.010984354939864306,"score_gpt":0.20771138303214637,"score_spread":0.19672702809228207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081806177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07946828,0.0012488757,0.91456383,0.00003076065,0.00094395375,0.00039316152,0.0000063716766,0.0003693291,0.0029754266],"genre_scores_gemma":[0.97032905,0.00006470532,0.029233402,0.000033724413,0.00015004641,0.000030736534,0.00008489323,0.00002219189,0.00005123406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893594,0.00003842512,0.0003824742,0.00021927709,0.0002235277,0.00020033694],"domain_scores_gemma":[0.9993498,0.00014360463,0.00009034628,0.00021843208,0.00014578125,0.00005208947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019973407,0.00019554642,0.0002933174,0.00009167389,0.0000465613,0.00006246318,0.00014867997,0.00019530588,0.0001051338],"category_scores_gemma":[0.000103926264,0.00020088098,0.0001089708,0.00012997625,0.00002894183,0.000049543425,0.00007501285,0.00055868976,0.000003957186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018779353,0.000011408416,0.0005028866,0.00036294988,0.000042238862,0.000006997268,0.00012842202,0.98397976,0.008758452,0.0000044963817,0.00004504092,0.0061554546],"study_design_scores_gemma":[0.00029890193,0.00003356036,0.0006235185,0.00029064828,0.000030802723,0.0000027973906,0.00011191628,0.96769315,0.030413643,0.0000045687693,0.00029219626,0.00020429904],"about_ca_topic_score_codex":0.00011887668,"about_ca_topic_score_gemma":0.000012709396,"teacher_disagreement_score":0.8908608,"about_ca_system_score_codex":0.000055489858,"about_ca_system_score_gemma":0.00010947225,"threshold_uncertainty_score":0.81916887},"labels":[],"label_agreement":null},{"id":"W3082086559","doi":"10.1109/tcsii.2020.3020139","title":"Distributed Data-Driven Intrusion Detection for Sparse Stealthy FDI Attacks in Smart Grids","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Intrusion detection system; Computer science; State (computer science); Smart grid; Intrusion; Electric power system; Data center; Data mining; Real-time computing; Distributed computing; Power (physics); Computer network; Algorithm; Engineering","score_opus":0.04154002645762765,"score_gpt":0.2487091071682523,"score_spread":0.20716908071062468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082086559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13572855,0.00026104224,0.8566948,0.00014605095,0.0035612215,0.0012581018,0.0017056675,0.0005802843,0.000064242704],"genre_scores_gemma":[0.9987891,0.00013624068,0.000049017886,0.000083414605,0.00040652553,0.00030578786,0.00013054018,0.00006950887,0.00002990288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976507,0.00011873375,0.0006838138,0.0006653092,0.0003587398,0.0005227376],"domain_scores_gemma":[0.9986843,0.00018798951,0.00008661878,0.000693431,0.000074994095,0.00027266008],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025323482,0.00033697166,0.0004749494,0.00017285522,0.0003721725,0.00009500341,0.00056726683,0.00028134824,0.000016753578],"category_scores_gemma":[0.000026087933,0.00036183008,0.00010974199,0.00055106485,0.0000608504,0.00053014443,0.000008876319,0.00054944813,0.000034400608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010816701,0.0001736554,0.000049151833,0.0009058235,0.00009110591,0.000018531331,0.0024065017,0.9457744,0.038553603,0.000023092402,0.002111011,0.009784989],"study_design_scores_gemma":[0.0023869472,0.00044454559,0.00040109668,0.000523669,0.000092760274,0.00004620775,0.0006865008,0.8861625,0.034081616,0.00000797783,0.074324064,0.0008420975],"about_ca_topic_score_codex":0.00026940962,"about_ca_topic_score_gemma":0.00042356428,"teacher_disagreement_score":0.86306053,"about_ca_system_score_codex":0.00019087207,"about_ca_system_score_gemma":0.000059774204,"threshold_uncertainty_score":0.99988335},"labels":[],"label_agreement":null},{"id":"W3082770156","doi":"10.1109/access.2020.3020891","title":"Model-Based Secure Load Frequency Control of Smart Grids Against Data Integrity Attack","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Beijing Nova Program; Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Computer science; SCADA; Cyber-physical system; Smart grid; Electric power system; Data integrity; Dynamic demand; Robustness (evolution); Overhead (engineering); Real-time computing; Power (physics); Engineering; Computer security","score_opus":0.07785579363795478,"score_gpt":0.30109357276400656,"score_spread":0.22323777912605178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082770156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7602814,0.0009582783,0.23280667,0.0008813933,0.0011837828,0.00037515143,0.00082069717,0.000394471,0.002298164],"genre_scores_gemma":[0.9982308,0.000070437774,0.00042285252,0.000912939,0.00027607163,0.000009927279,0.00004604413,0.000027460657,0.000003437124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986778,0.000044425917,0.0003325911,0.00034055504,0.0003286125,0.00027599742],"domain_scores_gemma":[0.9988794,0.00009481681,0.000057417186,0.00069052953,0.00011031664,0.00016755488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020567834,0.0002033562,0.0003195865,0.00004062724,0.000058616533,0.000059692095,0.0016382858,0.0001545331,0.00003554799],"category_scores_gemma":[0.00013953203,0.00018842681,0.0000691899,0.0003007365,0.00009763488,0.0006122017,0.00009481279,0.00058599823,0.00002667525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078285695,0.000087666835,0.009155152,0.00074294605,0.00009772876,0.000035157027,0.0006389037,0.9441,0.016490052,0.000095564326,0.027035395,0.0014431531],"study_design_scores_gemma":[0.0006709578,0.000030376374,0.00034466837,0.000059436552,0.00002718219,6.7066827e-7,0.000014778908,0.9878288,0.009571141,0.00006948307,0.0011558931,0.00022660865],"about_ca_topic_score_codex":0.000052368287,"about_ca_topic_score_gemma":0.00016043866,"teacher_disagreement_score":0.23794945,"about_ca_system_score_codex":0.000043275082,"about_ca_system_score_gemma":0.0001582791,"threshold_uncertainty_score":0.76838225},"labels":[],"label_agreement":null},{"id":"W3083018510","doi":"10.1109/cec48606.2020.9185725","title":"Multi-Objective Evolutionary Optimization for Worst-Case Analysis of False Data Injection Attacks in the Smart Grid","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Smart grid; Computer science; Pareto principle; Solver; Set (abstract data type); Mathematical optimization; Grid; Evolutionary algorithm; Identification (biology); Mathematics; Engineering; Artificial intelligence","score_opus":0.046042200202454434,"score_gpt":0.2770350867779248,"score_spread":0.2309928865754704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083018510","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22015429,0.0002843257,0.7778272,0.00028166376,0.00028882394,0.0005492763,0.0003126983,0.00011077563,0.00019092782],"genre_scores_gemma":[0.9892471,0.000044690198,0.010179069,0.00009421051,0.000085336425,0.000023829933,0.00031342404,0.000007859167,0.000004522449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934614,0.000043324024,0.00020739088,0.00019169341,0.00010238564,0.00010905947],"domain_scores_gemma":[0.9994787,0.00015652899,0.000029242094,0.00026062023,0.000045523695,0.000029396846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018939808,0.00008219395,0.00014836995,0.00014926564,0.000055637243,0.000012756112,0.00021419014,0.00005701,0.00002995714],"category_scores_gemma":[0.0001456898,0.000063647305,0.000057531295,0.0012192653,0.000029227229,0.00023514431,0.000046867863,0.00009766064,0.0000015944307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020876005,0.00003706936,0.0045054927,0.000029188479,0.00012589323,0.0000067766946,0.0015241005,0.9922952,0.00006370664,0.000022279577,0.001221897,0.00014753801],"study_design_scores_gemma":[0.00022872903,0.000033244556,0.008854309,0.0000047475105,0.00015151389,0.00001025911,0.0014468173,0.98890567,0.00007662074,0.000002661549,0.00020714896,0.000078284735],"about_ca_topic_score_codex":0.00016170734,"about_ca_topic_score_gemma":0.0008606251,"teacher_disagreement_score":0.7690928,"about_ca_system_score_codex":0.000026129906,"about_ca_system_score_gemma":0.0000128799375,"threshold_uncertainty_score":0.2595462},"labels":[],"label_agreement":null},{"id":"W3083938979","doi":"10.1002/acs.3163","title":"Robust algorithm for attack detection based on time‐varying hidden Markov model subject to outliers","year":2020,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hidden Markov model; Outlier; Expectation–maximization algorithm; Computer science; Algorithm; Mixture model; Hidden semi-Markov model; Maximization; Gaussian; Markov chain; Artificial intelligence; Pattern recognition (psychology); Markov model; Maximum likelihood; Machine learning; Variable-order Markov model; Mathematics; Statistics; Mathematical optimization","score_opus":0.021697543687410704,"score_gpt":0.23473128202302082,"score_spread":0.21303373833561012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083938979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012916657,0.00022259499,0.98553044,0.00078656507,0.00016870598,0.00013899938,0.00002896668,0.000030101159,0.00017699353],"genre_scores_gemma":[0.9755324,0.000006715435,0.02291221,0.00091212994,0.0006004079,0.000006289637,0.0000014578355,0.000018889375,0.000009463598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906284,0.0000206533,0.00028524976,0.00013860226,0.00034318786,0.0001494695],"domain_scores_gemma":[0.99921584,0.00011587382,0.000106803156,0.000024345907,0.00038135002,0.00015580583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019640423,0.00013729456,0.00020256566,0.00014662498,0.000083696104,0.00010125582,0.00017591573,0.000053767802,0.0000075562198],"category_scores_gemma":[0.00005767196,0.00012083206,0.000091403475,0.00008000712,0.00002642715,0.00027390243,0.000011591658,0.00020701798,0.0000025328998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062103453,0.00001570395,0.0000086829405,0.0000156513,0.00006641242,0.000014608896,0.00029557492,0.70723194,0.01351153,0.0000017076717,0.00011931265,0.27809784],"study_design_scores_gemma":[0.0015289023,0.00036567694,0.000066818364,0.00014628297,0.000030178977,0.000013220857,0.000067644505,0.99531215,0.0021865016,0.000044952405,0.00010148311,0.00013618647],"about_ca_topic_score_codex":8.9602815e-7,"about_ca_topic_score_gemma":6.7762204e-7,"teacher_disagreement_score":0.96261823,"about_ca_system_score_codex":0.0000790122,"about_ca_system_score_gemma":0.000062662904,"threshold_uncertainty_score":0.49273884},"labels":[],"label_agreement":null},{"id":"W3086266442","doi":"10.1109/ccta41146.2020.9206392","title":"Mitigation and Resiliency of Multi-Agent Systems Subject to Malicious Cyber Attacks on Communication Links","year":2020,"lang":"en","type":"preprint","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Adversary; Controllability; Computer security; Computer science; Hacker; Cyber-attack; Adversary model; Telecommunications network; Computer network; Mathematics","score_opus":0.01854899433291383,"score_gpt":0.26138178280136437,"score_spread":0.24283278846845055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086266442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77520156,0.006289754,0.18899615,0.016774604,0.00070347235,0.0074421167,0.00068460987,0.0015008904,0.0024068337],"genre_scores_gemma":[0.9950664,0.0022830768,0.00065818016,0.00016696763,0.0000747453,0.0016224245,0.000049742008,0.000031633845,0.000046845653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834144,0.00008299068,0.00051792397,0.0006313679,0.00017846562,0.0002478073],"domain_scores_gemma":[0.99839306,0.00015945554,0.00018808286,0.00095173495,0.00017275955,0.00013493666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017790167,0.00035106827,0.00056536455,0.00036245966,0.00017983951,0.00006201433,0.0005804319,0.0010199539,0.000005451954],"category_scores_gemma":[0.00006560976,0.00036174932,0.000057082747,0.00041076823,0.00031930488,0.000038667305,0.0001593912,0.0013925274,0.00004181775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048762094,0.0009947891,0.00755472,0.0038534391,0.0010368157,0.000028067718,0.003172762,0.14382802,0.218688,0.55240947,0.005594558,0.06235173],"study_design_scores_gemma":[0.0055401796,0.0014193677,0.018535908,0.0035267186,0.00063465093,0.00006496064,0.001889483,0.87822866,0.04501196,0.021170653,0.020807555,0.003169914],"about_ca_topic_score_codex":0.000021444639,"about_ca_topic_score_gemma":0.000051627696,"teacher_disagreement_score":0.73440063,"about_ca_system_score_codex":0.000056455334,"about_ca_system_score_gemma":0.000058766604,"threshold_uncertainty_score":0.9998835},"labels":[],"label_agreement":null},{"id":"W3086579950","doi":"10.1109/tii.2020.3023430","title":"DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":568,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Deep learning; Intrusion detection system; Cyber-physical system; Computer security; Artificial intelligence; Paillier cryptosystem; Industrial control system; Convolutional neural network; Distributed computing; Machine learning; Cryptosystem; Cryptography","score_opus":0.03550043727804655,"score_gpt":0.2297796029021805,"score_spread":0.19427916562413394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086579950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5143212,0.000009402244,0.48140952,0.00005373208,0.0028425467,0.00080442167,0.000018179993,0.00034448568,0.0001965096],"genre_scores_gemma":[0.9988734,0.000022761174,0.000058501042,0.000038909842,0.0008437327,0.00010914378,0.000011393015,0.000030042218,0.000012099007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985584,0.00005993343,0.0006486076,0.00012852518,0.000258653,0.00034590348],"domain_scores_gemma":[0.9993563,0.00023486749,0.0000904988,0.00009664485,0.000052571333,0.0001690749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018568966,0.0002384278,0.00033119327,0.00019530908,0.00028272238,0.00016163183,0.00013785555,0.00048613656,0.000010609975],"category_scores_gemma":[0.00006841347,0.00024109721,0.00010651205,0.00066244154,0.000038039474,0.00044750195,0.0000019989345,0.0014050122,0.00004331576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021398859,0.000040822866,0.0000082870565,0.00005808107,0.000033433003,0.000001195202,0.0027268983,0.9488284,0.0007411867,0.000008849823,0.000118837415,0.04722004],"study_design_scores_gemma":[0.0023568952,0.0003943884,0.0000032724338,0.00007919724,0.00003113094,0.0000051168026,0.0020047233,0.96122086,0.030333586,0.000004595997,0.0032963057,0.00026993794],"about_ca_topic_score_codex":0.000040929164,"about_ca_topic_score_gemma":0.000042397758,"teacher_disagreement_score":0.4845522,"about_ca_system_score_codex":0.00018395693,"about_ca_system_score_gemma":0.000048008278,"threshold_uncertainty_score":0.9831659},"labels":[],"label_agreement":null},{"id":"W3088707197","doi":"10.1049/iet-gtd.2020.0244","title":"Transmission and distribution co‐simulation: a review and propositions","year":2020,"lang":"en","type":"review","venue":"IET Generation Transmission & Distribution","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Co-simulation; Transmission (telecommunications); Computer science; Distribution (mathematics); Co-occurrence; Telecommunications; Simulation; Artificial intelligence; Mathematics","score_opus":0.02857700885269064,"score_gpt":0.300225907603595,"score_spread":0.27164889875090437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088707197","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004218637,0.74105996,0.25572538,0.0003661247,0.00011787405,0.0011798078,0.0012754396,0.00024109162,0.000030091569],"genre_scores_gemma":[0.0005340635,0.97595847,0.00018838528,0.00005292567,0.00027915958,0.00016618629,0.022746123,0.000047853286,0.000026862694],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766535,0.00022124744,0.0008640344,0.00060898095,0.00033604808,0.00030432563],"domain_scores_gemma":[0.9990808,0.000073426796,0.00013673566,0.00022441096,0.000094597686,0.00039007334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023544823,0.0005783999,0.0011203567,0.000057438687,0.00045718835,0.00013526386,0.00012995924,0.000494188,0.00009674247],"category_scores_gemma":[0.00002732729,0.0004934051,0.0002449536,0.0004970139,0.000106553176,0.00031260616,0.000015559268,0.00052968843,0.00002283833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004660959,0.00003486964,3.10263e-7,0.031614546,0.000057995898,0.000007208248,0.00006186639,0.00049280137,0.000068968766,0.00019677063,0.008634608,0.9588254],"study_design_scores_gemma":[0.00021569138,0.000061159975,0.0000049223936,0.009320326,0.0010964894,0.00007503749,0.0000036000677,0.037293635,0.00009166055,0.000019711923,0.9513037,0.00051405333],"about_ca_topic_score_codex":0.0000018244909,"about_ca_topic_score_gemma":5.888613e-7,"teacher_disagreement_score":0.9583113,"about_ca_system_score_codex":0.00015956715,"about_ca_system_score_gemma":0.00011759259,"threshold_uncertainty_score":0.99975175},"labels":[],"label_agreement":null},{"id":"W3089459606","doi":"10.1109/ccta41146.2020.9206392","title":"Mitigation and resiliency of multi-agent systems subject to malicious cyber attacks on communication links","year":2022,"lang":"en","type":"article","venue":"Qatar University QSpace (Qatar University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Adversary; Controllability; Computer science; Computer security; Hacker; Adversary model; Cyber-attack; Computer network; Distributed computing; Mathematics","score_opus":0.009347432120844691,"score_gpt":0.18669451813038257,"score_spread":0.17734708600953789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089459606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99358237,0.00024055853,0.0015715532,0.00036467638,0.00027399,0.00043767816,0.00022075481,0.00017643174,0.0031319833],"genre_scores_gemma":[0.9957979,0.00036788854,0.00042570857,0.0000306441,0.000014778289,3.9000818e-7,0.0000645255,0.000017021099,0.0032811975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879974,0.00023025364,0.00012141413,0.0003118954,0.00028397894,0.00025273024],"domain_scores_gemma":[0.99905944,0.00009749234,0.00007464512,0.0005284867,0.00007432914,0.00016561396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017505094,0.00017970282,0.00022496285,0.0005937874,0.00055102655,0.000016854157,0.00057873747,0.00012752015,0.000039959265],"category_scores_gemma":[0.000017111437,0.0002429015,0.00006768671,0.00080923724,0.000122023484,0.00025824638,0.0004046643,0.00048448908,0.000018688856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073579256,0.0005486486,0.022913484,0.00047704845,0.0003357503,0.000524269,0.019287623,0.9114481,0.0064758966,0.020712463,0.015664931,0.00087598624],"study_design_scores_gemma":[0.005413514,0.0011679312,0.04681239,0.0004011059,0.00035829906,0.000047183814,0.077993,0.07591654,0.004147699,0.000021234193,0.78583086,0.0018902713],"about_ca_topic_score_codex":0.0011502893,"about_ca_topic_score_gemma":0.00071616034,"teacher_disagreement_score":0.83553153,"about_ca_system_score_codex":0.00049596344,"about_ca_system_score_gemma":0.000045126144,"threshold_uncertainty_score":0.9905236},"labels":[],"label_agreement":null},{"id":"W3091023175","doi":"10.1109/ccta41146.2020.9206282","title":"A Resilient Control Against Time-Delay Switch and Denial of Service Cyber Attacks on Load Frequency Control of Distributed Power Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Denial-of-service attack; Computer science; Automatic frequency control; Control (management); Computer security; Power (physics); Power control; Computer network; Telecommunications; The Internet; Operating system","score_opus":0.006583267377666514,"score_gpt":0.20546153958338684,"score_spread":0.19887827220572032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091023175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8003856,0.0023020837,0.17446801,0.014182969,0.00022896408,0.0034815874,0.0020145392,0.00069552625,0.0022406988],"genre_scores_gemma":[0.9988916,0.0001586614,0.00005306489,0.00041245102,0.00004715042,0.00038750173,0.000016308602,0.000023062179,0.000010195258],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838287,0.00005672017,0.0005195481,0.00047994012,0.00024406497,0.0003168556],"domain_scores_gemma":[0.99863654,0.00023092302,0.00019588874,0.00044334837,0.00033609645,0.0001572165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001456021,0.00030836303,0.00069194153,0.00014270398,0.00011900917,0.000026635122,0.0003766912,0.00042935842,0.000022662736],"category_scores_gemma":[0.000078049656,0.0002863991,0.000061675295,0.0006020196,0.0003318892,0.00006726495,0.00002586276,0.00047088452,0.000045505512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013995334,0.0006674372,0.00597496,0.0008576021,0.0010504635,0.000045922723,0.0006166595,0.036406413,0.7872238,0.15736008,0.0022895974,0.0061075045],"study_design_scores_gemma":[0.016544214,0.001579126,0.0036705337,0.00055585895,0.00046807408,0.00005014953,0.00060234516,0.9521156,0.014215052,0.0018953355,0.0069708214,0.0013329175],"about_ca_topic_score_codex":0.000012347795,"about_ca_topic_score_gemma":0.000016339387,"teacher_disagreement_score":0.91570914,"about_ca_system_score_codex":0.000038825667,"about_ca_system_score_gemma":0.00008800644,"threshold_uncertainty_score":0.9999588},"labels":[],"label_agreement":null},{"id":"W3091566111","doi":"10.1109/ccta41146.2020.9206373","title":"Set-Theoretic Control for Active Detection of Replay Attacks with Applications to Smart Grid","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Replay attack; Computer science; Digital watermarking; Scheme (mathematics); Cyber-physical system; Set (abstract data type); Exploit; Stability (learning theory); Grid; Bounded function; Transient (computer programming); Control (management); Control theory (sociology); Image (mathematics); Authentication (law); Artificial intelligence; Computer security; Machine learning; Mathematics","score_opus":0.010083252737315447,"score_gpt":0.23283217532522452,"score_spread":0.22274892258790907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091566111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043105096,0.00011165708,0.9473707,0.005220617,0.000056697936,0.0029402447,0.00033068736,0.00044146748,0.000422816],"genre_scores_gemma":[0.99350953,0.000078536905,0.00046408168,0.0003533634,0.00013808916,0.0054078847,0.000012460894,0.00002419037,0.000011861116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891436,0.000018814128,0.00026955394,0.00044368746,0.000104863604,0.00024872442],"domain_scores_gemma":[0.99904704,0.00017688227,0.0000897165,0.0003699991,0.00018239924,0.00013398356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007851222,0.00021056869,0.00034852093,0.00016663448,0.00018307907,0.000019779298,0.0002890531,0.00023069099,0.000010970384],"category_scores_gemma":[0.000039354916,0.000194371,0.000047137357,0.00066864945,0.0002919884,0.000058576705,0.000015084536,0.00029761615,0.000028216835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016386857,0.00019778985,0.0013262144,0.0005071242,0.000535708,0.0000035507005,0.0006996626,0.010913647,0.53652656,0.35044384,0.00094255264,0.09626466],"study_design_scores_gemma":[0.012573795,0.0046205055,0.0021702445,0.00023508996,0.00083048944,0.00007775331,0.0024592904,0.29156107,0.52833486,0.02458961,0.13039203,0.0021553098],"about_ca_topic_score_codex":0.0000018411275,"about_ca_topic_score_gemma":0.000025579211,"teacher_disagreement_score":0.9504044,"about_ca_system_score_codex":0.000024722627,"about_ca_system_score_gemma":0.000038985123,"threshold_uncertainty_score":0.7926219},"labels":[],"label_agreement":null},{"id":"W3091576763","doi":"10.1109/ccta41146.2020.9206295","title":"Monitoring and Detection of Malicious Adversarial Zero Dynamics Attacks in Cyber-Physical Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Hacker; Computer science; Adversarial system; Computer security; Key (lock); Process (computing); Zero (linguistics); System dynamics; Invariant (physics); Artificial intelligence; Mathematics","score_opus":0.007914599650599166,"score_gpt":0.21889644892706478,"score_spread":0.21098184927646563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091576763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92795146,0.0004008989,0.06974484,0.00073743646,0.00016204675,0.0005158146,0.000029027671,0.00022917098,0.00022929143],"genre_scores_gemma":[0.9992821,0.00032160457,0.000035355344,0.000010724761,0.00012837545,0.00020582089,0.0000016109119,0.000010538688,0.000003876025],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931103,0.000016873653,0.00019378394,0.00024538973,0.00007606969,0.00015683923],"domain_scores_gemma":[0.9996408,0.000064466,0.000047280144,0.00015260154,0.000038205257,0.00005659677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004462617,0.00013235772,0.0002611455,0.000122445,0.0000652404,0.00001731089,0.00013816736,0.00021177286,6.6114467e-7],"category_scores_gemma":[0.00001926381,0.00013749574,0.000019728957,0.00038011855,0.00016743936,0.000052998847,0.000020671017,0.00033878445,0.0000055737796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024825436,0.00020477582,0.0156078115,0.0005070005,0.0001816735,0.00002021711,0.0008241655,0.024085121,0.666813,0.16483584,0.000040745555,0.12663141],"study_design_scores_gemma":[0.0016281975,0.0002633789,0.0026871313,0.000095314186,0.000052195963,0.000016291393,0.0005999693,0.96195173,0.029418807,0.002474675,0.00048729288,0.00032500876],"about_ca_topic_score_codex":0.000010928546,"about_ca_topic_score_gemma":0.000018351044,"teacher_disagreement_score":0.9378666,"about_ca_system_score_codex":0.00002699192,"about_ca_system_score_gemma":0.000013107082,"threshold_uncertainty_score":0.56069136},"labels":[],"label_agreement":null},{"id":"W3091942015","doi":"10.1109/jsyst.2020.3025202","title":"Mobile Communications-Enabled Smart Grid Cosimulator System Design","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Communications protocol; Protocol stack; Wireless; Communications system; Grid; Embedded system; Real-time computing; Distributed computing; Simulation; Computer network; Wireless sensor network","score_opus":0.03153703539946251,"score_gpt":0.23179504245709057,"score_spread":0.20025800705762806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091942015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22277072,0.055560958,0.66382635,0.00042233648,0.040407497,0.003692207,0.00010575973,0.0032559969,0.009958168],"genre_scores_gemma":[0.99740773,0.00035173702,0.00054538227,0.000045912493,0.0015196815,0.000049154238,0.0000018720975,0.000039984763,0.000038533537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840736,0.0002639941,0.0005476008,0.00014012828,0.00031640814,0.00032448283],"domain_scores_gemma":[0.9988496,0.00012666454,0.00010958894,0.00043580765,0.000120025674,0.000358356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005179981,0.00018787612,0.00033181914,0.00007409722,0.000322548,0.00020374988,0.00071910815,0.00011849022,0.000011231504],"category_scores_gemma":[0.000025647683,0.00016639447,0.00010120039,0.0002601766,0.000049522627,0.0002304241,0.000035645484,0.00055785093,0.00026536456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015458081,0.000016626484,0.00023012485,0.00036706752,0.00009036714,0.00006002699,0.0012677718,0.9609289,0.0052807606,0.00007738245,0.031569853,0.00009562988],"study_design_scores_gemma":[0.0006157068,0.00014231876,0.000036964622,0.00037747744,0.000036859703,0.0008280396,0.00096448406,0.9189961,0.001868199,0.000003851887,0.075826965,0.00030303007],"about_ca_topic_score_codex":0.000009354701,"about_ca_topic_score_gemma":9.608839e-7,"teacher_disagreement_score":0.77463704,"about_ca_system_score_codex":0.00016333499,"about_ca_system_score_gemma":0.00006220077,"threshold_uncertainty_score":0.67853695},"labels":[],"label_agreement":null},{"id":"W3092311187","doi":"","title":"Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles","year":2020,"lang":"en","type":"article","venue":"Recent Advances in Intrusion Detection","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Embedded system; Software; Real-time computing; Operating system","score_opus":0.011618769792530775,"score_gpt":0.22918099808366166,"score_spread":0.2175622282911309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092311187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88505936,0.00455025,0.103654735,0.0006139272,0.004203875,0.00043560614,0.000019571262,0.0009538906,0.00050877966],"genre_scores_gemma":[0.98273724,0.013483445,0.0027187238,0.0004546118,0.00050748506,0.000025166186,0.00002208053,0.000041707615,0.000009517647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890983,0.00006180587,0.0002698842,0.0003097456,0.00022352303,0.00022523945],"domain_scores_gemma":[0.999432,0.00023279226,0.000049381037,0.00016284887,0.000027075328,0.00009586582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007290447,0.00017156311,0.00019597022,0.00010490896,0.000077772354,0.000024587336,0.00011549469,0.00012959012,0.00013685852],"category_scores_gemma":[0.0002545429,0.00016897995,0.00005001155,0.0004089592,0.00003148084,0.00025207663,0.000021873315,0.00035175614,0.00014669349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018689949,0.000020321168,0.00034333963,0.000038561935,0.0000040916,0.0000072655685,0.00007908922,0.68197143,0.008227692,0.000001512155,0.00007444093,0.30904534],"study_design_scores_gemma":[0.0011674734,0.0005176356,0.0036485188,0.0003645459,0.000017681456,0.000003064706,0.000113688184,0.6313239,0.25407967,0.0006031286,0.10755285,0.00060789724],"about_ca_topic_score_codex":0.00001248002,"about_ca_topic_score_gemma":0.00009248342,"teacher_disagreement_score":0.30843747,"about_ca_system_score_codex":0.00017361647,"about_ca_system_score_gemma":0.000012486887,"threshold_uncertainty_score":0.68908024},"labels":[],"label_agreement":null},{"id":"W3093838601","doi":"10.1109/apap47170.2019.9224790","title":"Implementation of Fast Bus Tripping Scheme using Microprocessor-based Relays","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Tripping; Microprocessor; Relay; Overcurrent; Scheme (mathematics); Computer science; Fault (geology); Hazard; Protective relay; Embedded system; Engineering; Circuit breaker; Electrical engineering; Power (physics); Current (fluid)","score_opus":0.007973773237474615,"score_gpt":0.23997430031519215,"score_spread":0.23200052707771754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093838601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98913884,0.000106527514,0.009274949,0.000012006598,0.00021542504,0.00015280083,0.0000032450243,0.00007497251,0.0010212276],"genre_scores_gemma":[0.9939246,0.0000070815154,0.005971796,0.000024468342,0.000027120948,0.0000024600479,0.000004769177,0.000011067773,0.000026597823],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994923,0.0000054954667,0.0001685566,0.000093076975,0.000099886296,0.000140708],"domain_scores_gemma":[0.9997932,0.000016896194,0.000028110095,0.00010529314,0.000032181753,0.000024337402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006337957,0.00007462713,0.00010354147,0.00007073762,0.000022564154,0.000010188078,0.00007549331,0.000040794046,0.0002889923],"category_scores_gemma":[0.0000029435912,0.00006871313,0.000034459947,0.00017316194,0.000013714668,0.00010475141,0.000010464138,0.000063593005,0.000024985251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052224123,0.000010456562,0.021010874,0.00027044953,0.000015289332,7.351214e-7,0.00030935893,0.028552284,0.94867617,0.00017418437,0.00005743073,0.00091754145],"study_design_scores_gemma":[0.0007532898,0.000031905733,0.0042571197,0.00007019863,0.000009760415,0.000003070466,0.0013529168,0.3180383,0.6745032,0.000014215838,0.0007836264,0.00018237905],"about_ca_topic_score_codex":0.00008246916,"about_ca_topic_score_gemma":0.000025134928,"teacher_disagreement_score":0.28948602,"about_ca_system_score_codex":0.000029469185,"about_ca_system_score_gemma":0.000022272481,"threshold_uncertainty_score":0.3164263},"labels":[],"label_agreement":null},{"id":"W3093856572","doi":"10.1109/apap47170.2019.9224689","title":"Testing Cyber Security of Power Systems on a Real Time Digital Simulator","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Testbed; Real Time Digital Simulator; Computer science; Denial-of-service attack; Grid; Electric power system; SCADA; Computer security; Network simulation; Smart grid; Power grid; Embedded system; Simulation; Computer network; Power (physics); Engineering; Operating system; The Internet; Electrical engineering","score_opus":0.004577829665427081,"score_gpt":0.1844490100537276,"score_spread":0.17987118038830052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093856572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80508006,0.000021845113,0.000016757484,0.0000025663956,0.00030646403,0.000121266865,0.000011509984,0.00018732654,0.19425221],"genre_scores_gemma":[0.99930817,0.0000011045837,0.000019830059,0.0000057553893,0.00003595077,0.0000014672104,0.0000022867766,0.000015385504,0.0006100286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936175,0.0000068068994,0.0001685021,0.00012338048,0.00016965038,0.00016989114],"domain_scores_gemma":[0.99950534,0.00018572326,0.000021145554,0.00019833952,0.000035642057,0.0000538226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006174275,0.000102232465,0.0001618752,0.00004191133,0.0000145735785,0.000032671884,0.000101476886,0.00006938554,0.000107297914],"category_scores_gemma":[0.00003940198,0.000083889005,0.000038813763,0.00012690845,0.000019245477,0.00014013344,0.00002425585,0.000094160445,0.000720782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005917522,0.00028086986,0.06395483,0.0007693363,0.00015634231,0.000031433832,0.0023154975,0.8617788,0.05718449,0.007217473,0.0058797216,0.00037204882],"study_design_scores_gemma":[0.0006391312,0.00031988573,0.014826882,0.00031828388,0.000009729083,0.000017876875,0.00025758817,0.97424114,0.0051612253,0.0001055212,0.00356907,0.00053369766],"about_ca_topic_score_codex":0.00003092485,"about_ca_topic_score_gemma":6.05108e-7,"teacher_disagreement_score":0.19422813,"about_ca_system_score_codex":0.000022853923,"about_ca_system_score_gemma":0.000009593537,"threshold_uncertainty_score":0.9264434},"labels":[],"label_agreement":null},{"id":"W3094765681","doi":"10.1109/lcsys.2020.3033059","title":"Covert Channels in Cyber-Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reachability; Computer science; Channel (broadcasting); Covert channel; Controller (irrigation); Covert; Dual (grammatical number); Computer network; Real-time computing; Theoretical computer science","score_opus":0.008696340794966485,"score_gpt":0.1862117537345116,"score_spread":0.17751541293954512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094765681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715936,0.0011851476,0.016090477,0.0018759402,0.0074288347,0.00083808275,0.000031873667,0.00044046997,0.00051552773],"genre_scores_gemma":[0.9964955,0.000009260361,0.0000012973471,0.00092887296,0.0023991535,0.00011042951,0.0000022774047,0.0000366731,0.000016561713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857295,0.00010085815,0.00033772597,0.00027236633,0.0002858468,0.00043022764],"domain_scores_gemma":[0.9994434,0.00012604943,0.000041642354,0.00019547311,0.000018026742,0.0001754128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295069,0.00022743498,0.0004965036,0.00007193804,0.000038536,0.00011010458,0.00025940733,0.00009238898,0.0000019083216],"category_scores_gemma":[0.000021383785,0.00021432014,0.00009312902,0.00023275237,0.00003934747,0.00016922347,0.000009627654,0.0002875243,0.00020616193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016613078,0.000012236098,0.0003442473,0.00024398057,0.00004759862,0.00010232764,0.000984394,0.8856294,0.098626435,0.0001241455,0.013851897,0.000016703601],"study_design_scores_gemma":[0.0012942401,0.000036480877,0.0001622228,0.00014233853,0.000015251372,0.000016926091,0.0001386082,0.98557866,0.00048759833,0.0000011201215,0.011805755,0.00032080495],"about_ca_topic_score_codex":0.00018011716,"about_ca_topic_score_gemma":0.00000444174,"teacher_disagreement_score":0.099949226,"about_ca_system_score_codex":0.00009233257,"about_ca_system_score_gemma":0.000010453892,"threshold_uncertainty_score":0.8739722},"labels":[],"label_agreement":null},{"id":"W3094939798","doi":"10.1007/978-3-030-58672-0_6","title":"PFDD: On Feasibility and Limitations of Detecting FmDI Attacks Using D-FACTS","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Software deployment; Key (lock); Grid; Transmission (telecommunications); Class (philosophy); Graph; Distributed computing; Computer network; Embedded system; Computer security; Telecommunications; Theoretical computer science; Artificial intelligence; Operating system","score_opus":0.0703715525483,"score_gpt":0.2413015165400365,"score_spread":0.1709299639917365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094939798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57263035,0.019126903,0.047296733,0.00014171319,0.0062356633,0.0025147668,0.00014933532,0.001493416,0.35041112],"genre_scores_gemma":[0.99713385,0.0016470606,0.00022993078,0.000040638308,0.0004578027,0.0000027736987,0.00001391378,0.000073555646,0.0004004951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988938,0.00001710188,0.0003433819,0.00032942294,0.00018767867,0.00022864292],"domain_scores_gemma":[0.99902886,0.00041892478,0.00011353292,0.0002657679,0.0000465509,0.0001263472],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009783022,0.00030263647,0.00042865268,0.000073596086,0.00010744591,0.000028487619,0.00013847288,0.00042147425,0.000010803003],"category_scores_gemma":[0.000042556963,0.0003207298,0.00010516005,0.00006077395,0.00011978766,0.00006072789,0.0000647594,0.00075928244,0.000005331229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060622388,0.000021928727,0.00028504233,0.0006141364,0.00019999772,0.000046978348,0.00084107975,0.9321588,0.00034512652,0.009795489,0.00031900304,0.055311773],"study_design_scores_gemma":[0.00040485628,0.00013426335,0.0006108899,0.001401547,0.00013734453,0.000020189438,0.00006862602,0.9903479,0.0003825991,0.0011208816,0.0045834687,0.0007873959],"about_ca_topic_score_codex":0.0000055100813,"about_ca_topic_score_gemma":0.00007933243,"teacher_disagreement_score":0.42450348,"about_ca_system_score_codex":0.00007537719,"about_ca_system_score_gemma":0.000023236931,"threshold_uncertainty_score":0.9999245},"labels":[],"label_agreement":null},{"id":"W3095315034","doi":"10.1109/tsg.2020.3034745","title":"Countering FDI Attacks on DERs Coordinated Control System Using FMI-Compatible Cosimulation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"Mitacs","keywords":"SCADA; Benchmark (surveying); Embedded system; Co-simulation; Controller (irrigation); Engineering; Photovoltaic system; Control system; Cyber-physical system; Distributed control system; Control engineering; Computer science; Electrical engineering","score_opus":0.02282019014510795,"score_gpt":0.22265578702554975,"score_spread":0.1998355968804418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095315034","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35988775,0.00003823024,0.63493353,0.00011622337,0.003479024,0.00035419167,0.00008604452,0.0007339098,0.0003710805],"genre_scores_gemma":[0.9991925,0.000013876859,0.00012807047,0.00025219534,0.00032093076,0.000023416702,0.000006081786,0.00005336218,0.0000095875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867374,0.000058415506,0.00034500158,0.0003028465,0.0002788956,0.00034111988],"domain_scores_gemma":[0.9993678,0.00012387757,0.000046600337,0.00021333355,0.000060367674,0.00018803737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009929762,0.00026982685,0.0003135989,0.0001410337,0.00029270397,0.00007017054,0.0001572914,0.00013704151,0.000046043056],"category_scores_gemma":[0.0000041612475,0.00028045985,0.00012813552,0.00038901347,0.000047042773,0.00021865472,8.658119e-7,0.00039632086,0.00015328759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011524405,0.000036415757,0.00009300777,0.00015939565,0.00007499362,0.000010449671,0.00034817486,0.9881197,0.0104023935,0.000012556552,0.00037313736,0.00025453515],"study_design_scores_gemma":[0.0011370777,0.00014199741,0.00015336114,0.00019182896,0.00006444815,0.000016198277,0.0002085334,0.9700779,0.026362062,7.604461e-7,0.0013486935,0.00029718035],"about_ca_topic_score_codex":0.00005353747,"about_ca_topic_score_gemma":0.000025769903,"teacher_disagreement_score":0.6393047,"about_ca_system_score_codex":0.00023050013,"about_ca_system_score_gemma":0.000024808214,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W3095938208","doi":"10.1007/978-3-030-58672-0_2","title":"Fundamentals and Related Literature","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Intrusion detection system; Insider; Insider threat; State (computer science); Estimation; Computer security; Intrusion; Data science; Data mining; Algorithm; Systems engineering; Law; Engineering","score_opus":0.004946422655464512,"score_gpt":0.1694430516849588,"score_spread":0.16449662902949427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095938208","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001354372,0.11042327,0.0005901999,0.0002573868,0.004021937,0.0005365984,0.0000858334,0.0011703522,0.88156],"genre_scores_gemma":[0.7883718,0.042745046,0.000080836115,0.0004404971,0.0023855832,0.00001786529,0.00048216953,0.00033808468,0.16513811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990964,0.0000072877206,0.00024094255,0.00030191915,0.00013719375,0.00021624246],"domain_scores_gemma":[0.9995501,0.000039857696,0.00004455868,0.00019616824,0.000016641496,0.00015269076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000039882616,0.00033653434,0.00035721977,0.00005164579,0.00006763123,0.000091903625,0.00014679326,0.0007342715,0.00013907776],"category_scores_gemma":[0.0000016901681,0.00032903886,0.00008950522,0.000053215215,0.0000943527,0.00006879075,0.000070852606,0.0010837963,0.000058039797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013147916,0.00003678156,0.00013064506,0.0027204955,0.0019433234,0.0034608594,0.00545436,0.13116911,0.0003033431,0.50142086,0.22304215,0.13018663],"study_design_scores_gemma":[0.00071699993,0.00010028148,0.00010466485,0.0035760235,0.0001589918,0.00026255607,0.000026392107,0.36354113,0.000035987418,0.007690317,0.6220493,0.0017373824],"about_ca_topic_score_codex":4.6003694e-7,"about_ca_topic_score_gemma":0.0000030482734,"teacher_disagreement_score":0.7870174,"about_ca_system_score_codex":0.000031374162,"about_ca_system_score_gemma":0.00000731082,"threshold_uncertainty_score":0.99991614},"labels":[],"label_agreement":null},{"id":"W3095985279","doi":"10.1007/978-3-030-58672-0_4","title":"DHCD: Distributed Host-Based Collaborative Detection for FmDI Attacks","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Reputation; Host (biology); Voting; Data mining; Majority rule; State (computer science); Distributed computing; Computer security; Real-time computing; Algorithm; Artificial intelligence","score_opus":0.008172942694505443,"score_gpt":0.1986122876088218,"score_spread":0.19043934491431636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095985279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004790644,0.004765513,0.95600164,0.00026924032,0.0058825267,0.0024251277,0.001959537,0.0016263758,0.026590949],"genre_scores_gemma":[0.98609555,0.0010148082,0.00029112358,0.00030595102,0.004156042,0.00032927204,0.0021380514,0.0003687674,0.005300466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860764,0.000015188028,0.0003550506,0.00043309122,0.00021292041,0.00037614157],"domain_scores_gemma":[0.9990585,0.00020180934,0.00011955137,0.0002851514,0.00016034894,0.00017466776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007330616,0.00048147663,0.00053723314,0.00007210878,0.00017316731,0.00007137826,0.00024414508,0.0008086833,0.00004325148],"category_scores_gemma":[0.000015007913,0.0005101775,0.00020317403,0.00014095177,0.000105649386,0.000067650675,0.00003441995,0.00072626624,0.000032379106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044042396,0.000032846692,0.000014155197,0.00085765496,0.000546517,0.0000823427,0.00023505853,0.91902304,0.00042471822,0.010584997,0.04298511,0.024773123],"study_design_scores_gemma":[0.0005644424,0.00013085849,0.000021109372,0.00027820756,0.00009565291,0.0000021792503,0.000017681952,0.76734674,0.0006610115,0.00016090942,0.23008029,0.0006409261],"about_ca_topic_score_codex":0.0000024214023,"about_ca_topic_score_gemma":0.00012289244,"teacher_disagreement_score":0.98561645,"about_ca_system_score_codex":0.00016126428,"about_ca_system_score_gemma":0.00006310911,"threshold_uncertainty_score":0.999735},"labels":[],"label_agreement":null},{"id":"W3096040206","doi":"10.1109/spies48661.2020.9243025","title":"Fault Detection in Active Hybrid Distribution Networks: Overcoming Uncertainty","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Bayesian network; Inference; Fault detection and isolation; Reliability (semiconductor); Representation (politics); Distributed generation; Bayesian probability; Bayesian inference; Graphical model; Fault (geology); Data mining; Task (project management); Artificial intelligence; Engineering","score_opus":0.007172157413042332,"score_gpt":0.19582097971286233,"score_spread":0.18864882229982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096040206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78783786,0.00006789555,0.21070053,0.00010619243,0.0002919853,0.000099841425,0.000009330079,0.00023179526,0.0006545425],"genre_scores_gemma":[0.9996523,0.000052668038,0.000020133048,0.000075919954,0.00016065506,0.000006750424,0.000020949696,0.000006534433,0.000004069458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995293,0.000014732498,0.000106953565,0.00011706468,0.00007019006,0.0001617527],"domain_scores_gemma":[0.99983376,0.000035370584,0.000009658459,0.000053576274,0.000010642821,0.000056979457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038844784,0.0000774474,0.000084897954,0.000014827434,0.000035289206,0.000015739779,0.000059194797,0.000042386702,0.000025280568],"category_scores_gemma":[0.00003659768,0.00007470112,0.000027907367,0.00019678073,0.000014705152,0.00013914696,0.000016972604,0.00019311602,0.0000149904035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024541318,0.0000064912265,0.00019725287,0.000014660029,0.000006206509,0.0000069924936,0.00020430557,0.98239625,0.0019441477,0.000065433065,0.00040247786,0.0147312395],"study_design_scores_gemma":[0.00016993287,0.000017974577,0.0029955176,0.0000104506225,0.0000024866165,0.0000024870617,0.00015588451,0.9713981,0.022436583,0.000030999287,0.0026770907,0.000102495505],"about_ca_topic_score_codex":0.00006322261,"about_ca_topic_score_gemma":0.00016932456,"teacher_disagreement_score":0.21181443,"about_ca_system_score_codex":0.00009607104,"about_ca_system_score_gemma":0.000004406384,"threshold_uncertainty_score":0.30462235},"labels":[],"label_agreement":null},{"id":"W3096437186","doi":"10.1109/tsg.2020.3033520","title":"Network Parameter Coordinated False Data Injection Attacks Against Power System AC State Estimation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electric power system; State (computer science); Computer science; Line (geometry); Power (physics); Electrical impedance; Topology (electrical circuits); Engineering; Algorithm; Mathematics; Electrical engineering","score_opus":0.025104307797704305,"score_gpt":0.23196016174699705,"score_spread":0.20685585394929273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096437186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13541226,0.00009660607,0.856761,0.00020753041,0.00530908,0.00040106897,0.00031195683,0.001176299,0.00032421882],"genre_scores_gemma":[0.99840134,0.000054347784,0.0008019445,0.00030568216,0.00021731846,0.000037969814,0.00009701688,0.00005474013,0.000029654404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984097,0.000082615894,0.00040401702,0.00044559376,0.00026447308,0.00039362264],"domain_scores_gemma":[0.9989778,0.00012915744,0.00005480621,0.0005811227,0.00005432831,0.000202813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018473329,0.0002792343,0.0002809861,0.0000941502,0.0002617081,0.00009718402,0.00035695286,0.00014926495,0.000031801657],"category_scores_gemma":[0.000012484583,0.00028153782,0.0000810013,0.0006315666,0.000055246564,0.00053693174,0.000005241842,0.00051879947,0.0003245443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069286805,0.000034753164,0.000032830118,0.00011065126,0.000079884274,0.000014945743,0.0004043733,0.9861499,0.0004956235,0.0000042658153,0.009164188,0.0034393203],"study_design_scores_gemma":[0.0004660894,0.00015052433,0.00019860416,0.00012563531,0.00005680618,0.00002023818,0.00014180328,0.9894696,0.003983965,0.0000071761933,0.0050038085,0.0003757581],"about_ca_topic_score_codex":0.000022456456,"about_ca_topic_score_gemma":0.000041924406,"teacher_disagreement_score":0.86298907,"about_ca_system_score_codex":0.00010814566,"about_ca_system_score_gemma":0.000028242559,"threshold_uncertainty_score":0.9999637},"labels":[],"label_agreement":null},{"id":"W3096595318","doi":"10.1007/978-3-030-58672-0_3","title":"SPNTA: Reliability Analysis Under Topology Attacks—A Stochastic Petri Net Approach","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Stochastic Petri net; Reliability (semiconductor); Topology (electrical circuits); Petri net; Network topology; Smart grid; Distributed computing; Electric power system; Grid; Node (physics); Power (physics); Computer network; Engineering","score_opus":0.01165929949744701,"score_gpt":0.2056854123298458,"score_spread":0.1940261128323988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096595318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00053658156,0.0049920687,0.73250383,0.00020766657,0.002531002,0.0006486896,0.00008117388,0.00093622156,0.2575628],"genre_scores_gemma":[0.9757722,0.0010278384,0.00038341866,0.00027234812,0.0031049475,0.00004304679,0.000660729,0.00021790281,0.018517578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974688,0.000044801982,0.00062650006,0.00088640157,0.0003768148,0.0005966411],"domain_scores_gemma":[0.9984003,0.00024365581,0.00013442094,0.0008523412,0.00007045347,0.00029883967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018592022,0.0006755708,0.0012441565,0.00025534825,0.00014116227,0.000061827224,0.0005847892,0.0011842882,0.00030335842],"category_scores_gemma":[0.000013725695,0.00067998463,0.00056106044,0.00039409305,0.0003408651,0.00007665414,0.00018695048,0.0017713788,0.00009084388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022589662,0.000017198732,0.000029155119,0.00011041132,0.0008408948,0.000022673148,0.00008345767,0.9768565,7.290108e-7,0.015091891,0.005934656,0.0009898013],"study_design_scores_gemma":[0.00024628875,0.000046782265,0.00022126215,0.000058666657,0.001125208,0.000014589467,0.000034909666,0.98574466,0.0000012603871,0.0019184648,0.009724787,0.00086313364],"about_ca_topic_score_codex":0.000026285046,"about_ca_topic_score_gemma":0.00008477572,"teacher_disagreement_score":0.9752356,"about_ca_system_score_codex":0.00020451605,"about_ca_system_score_gemma":0.0000462157,"threshold_uncertainty_score":0.9995651},"labels":[],"label_agreement":null},{"id":"W3096613494","doi":"10.1109/blackseacom48709.2020.9235007","title":"Cost-aware Data Aggregation and Energy Decentralization with Electrical Vehicles in Microgrids through LTE Links","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Science Foundation","keywords":"Decentralization; Data aggregator; Computer science; Microgrid; Automotive engineering; Computer network; Engineering; Wireless sensor network","score_opus":0.029613133976650736,"score_gpt":0.2362714304510634,"score_spread":0.20665829647441267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096613494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62129664,0.003670086,0.37166515,0.0019108844,0.00014252096,0.00022538754,0.000025402047,0.0004484715,0.00061548303],"genre_scores_gemma":[0.996241,0.001929395,0.0011894286,0.00042869573,0.00007452511,0.000004241767,0.00011342785,0.000011666098,0.000007649375],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994711,0.00001489461,0.00010692639,0.00017725506,0.00008533766,0.00014448071],"domain_scores_gemma":[0.9997851,0.000025852589,0.000010778699,0.00011414206,0.00001229626,0.000051784868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026385596,0.0000798455,0.00008458032,0.000020981319,0.000026754971,0.000032876385,0.00011889747,0.000092632494,0.000009728501],"category_scores_gemma":[0.000013733051,0.00006640048,0.0000054123484,0.0002865117,0.00002607341,0.00027774993,0.000035244735,0.00013587475,0.0000022675629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000448111,0.00035952003,0.24204817,0.0007026156,0.000244286,0.00023890908,0.016653694,0.21911994,0.02140239,0.018360123,0.036839735,0.4435825],"study_design_scores_gemma":[0.00049528806,0.00005804992,0.003684033,0.0000379646,0.000010370836,0.000010797533,0.00011165378,0.9487102,0.020924266,0.000052579817,0.025711846,0.00019294041],"about_ca_topic_score_codex":0.00006534601,"about_ca_topic_score_gemma":0.00030569494,"teacher_disagreement_score":0.72959024,"about_ca_system_score_codex":0.000015409792,"about_ca_system_score_gemma":0.000014296412,"threshold_uncertainty_score":0.27077326},"labels":[],"label_agreement":null},{"id":"W3097701620","doi":"10.1049/iet-cps.2020.0012","title":"Wyner wiretap‐like encoding scheme for cyber‐physical systems","year":2020,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Encoding (memory); Scheme (mathematics); Computer science; Cyber-physical system; Control (management); Controller (irrigation); Order (exchange); Distributed computing; Computer security; Theoretical computer science; Mathematics; Artificial intelligence","score_opus":0.013425725614337611,"score_gpt":0.23501011554305715,"score_spread":0.22158438992871954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097701620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5538968,0.002704358,0.40859637,0.0008490089,0.0025259228,0.008681961,0.0007696817,0.0037495089,0.018226437],"genre_scores_gemma":[0.9914888,0.000019991086,0.00014784039,0.000096294745,0.0042730113,0.0034994723,0.00007428549,0.00011167163,0.00028864713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757814,0.00011642219,0.0005208918,0.0006936296,0.000436193,0.0006547442],"domain_scores_gemma":[0.99783164,0.0007641342,0.00012605819,0.00069332536,0.00014123082,0.00044358303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029143426,0.00045362904,0.00070602825,0.000064239626,0.00037926077,0.00019439262,0.0006805996,0.00020297199,0.000006807454],"category_scores_gemma":[0.000052369276,0.0004158486,0.00034655345,0.00063168484,0.00019950054,0.0002663521,0.00009404839,0.0004947263,0.0005854767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005426784,0.0003924668,0.000083382256,0.0013475001,0.00036629004,0.0000050171893,0.00500165,0.046840355,0.14313786,0.79238987,0.008932619,0.0014487004],"study_design_scores_gemma":[0.0010375514,0.00019253221,0.00016580614,0.00026434762,0.0002686526,0.000024506311,0.0020357105,0.6912982,0.0063588256,0.006430723,0.2903601,0.0015630465],"about_ca_topic_score_codex":0.000031882308,"about_ca_topic_score_gemma":0.0000022015997,"teacher_disagreement_score":0.7859592,"about_ca_system_score_codex":0.00012031602,"about_ca_system_score_gemma":0.00004253702,"threshold_uncertainty_score":0.99982935},"labels":[],"label_agreement":null},{"id":"W3100728347","doi":"10.1109/cdc.2015.7403130","title":"Fake-acknowledgment attack on ACK-based sensor power schedule for remote state estimation","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Schedule; Acknowledgement; Estimator; State (computer science); Estimation; Power (physics)","score_opus":0.04477989304367275,"score_gpt":0.28784154543120666,"score_spread":0.2430616523875339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100728347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49798623,0.00007100967,0.49128008,0.0003473957,0.0012546077,0.0004764899,0.000018970724,0.00045060122,0.008114618],"genre_scores_gemma":[0.9473095,0.0000049465684,0.051074974,0.00022345623,0.00007534522,0.0000140140355,0.000024203457,0.000035462992,0.0012380793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993016,0.00001233594,0.00014974872,0.0001528529,0.00016022782,0.00022322487],"domain_scores_gemma":[0.99951106,0.000059429276,0.00001726379,0.0001992082,0.00008582621,0.00012720868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015277293,0.00012810566,0.00011485503,0.00005794462,0.00004168612,0.00003259438,0.00008572783,0.000057770467,0.00005188853],"category_scores_gemma":[0.000086843786,0.00010994248,0.000045426277,0.00009226375,0.000023732042,0.0000849659,0.00001002068,0.00008303882,0.00044850688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053059877,0.00004184031,0.000021404796,0.00006495907,0.000014222244,0.0000024228427,0.00029176485,0.97543657,0.0008947543,0.00014093684,0.020812375,0.0022257203],"study_design_scores_gemma":[0.00072812574,0.0001661112,0.00009975289,0.00003962247,0.0000053715357,0.0000010278599,0.000059344045,0.9381006,0.039809823,0.00017359856,0.020635357,0.00018131705],"about_ca_topic_score_codex":0.000003300807,"about_ca_topic_score_gemma":0.000018735178,"teacher_disagreement_score":0.4493233,"about_ca_system_score_codex":0.00008964284,"about_ca_system_score_gemma":0.00003282416,"threshold_uncertainty_score":0.57647985},"labels":[],"label_agreement":null},{"id":"W3107417568","doi":"10.1109/ccece47787.2020.9255805","title":"Understanding Cyber-physical Resilience From A Power System Perspective","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resilience (materials science); Contingency; Perspective (graphical); Computer science; Reliability (semiconductor); Electric power system; Cyber-physical system; Power (physics); Socio-ecological system; Grid; Risk analysis (engineering); Computer security; Dependability; Artificial intelligence; Software engineering; Business; Mathematics; Epistemology","score_opus":0.034677507530077804,"score_gpt":0.21951064335206766,"score_spread":0.18483313582198985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107417568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6217091,0.0003076817,0.15708956,0.0010831322,0.00067327305,0.00023237849,0.000026109792,0.0017167286,0.21716204],"genre_scores_gemma":[0.99942297,0.0000053382673,0.00020702272,0.00009834341,0.00022806758,0.0000034598777,9.2544354e-7,0.000015372605,0.000018484106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926317,0.000016850074,0.000098061646,0.00023135419,0.0001906498,0.00019993361],"domain_scores_gemma":[0.99961436,0.00008280533,0.000010721086,0.00012814577,0.000018749459,0.00014524574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025373733,0.00012080195,0.00015261634,0.00002290746,0.00007054434,0.000040487448,0.00016760977,0.000048273876,0.00006278365],"category_scores_gemma":[0.000026809374,0.00010505373,0.000058493435,0.00021897735,0.000055683824,0.00013781566,0.000036430833,0.00017668812,0.00021609997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007438434,0.000067288114,0.001083403,0.00013879566,0.00019030723,0.00020911405,0.071293995,0.06049231,0.03468984,0.8159858,0.015726702,0.000048060454],"study_design_scores_gemma":[0.00067450915,0.00016523611,0.0018702156,0.00013921416,0.000041000465,0.000011652773,0.14910765,0.82716113,0.015540557,0.0032303117,0.0012701551,0.0007883462],"about_ca_topic_score_codex":0.00006325259,"about_ca_topic_score_gemma":0.000015134405,"teacher_disagreement_score":0.81275547,"about_ca_system_score_codex":0.0002567936,"about_ca_system_score_gemma":0.000013532231,"threshold_uncertainty_score":0.4283967},"labels":[],"label_agreement":null},{"id":"W3109724441","doi":"10.1109/codit49905.2020.9263979","title":"A Finite-Time Stealthy Covert Attack Against Cyber-Physical Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Covert; Reachability; Computer security; Cyber-attack; Algorithm","score_opus":0.015906612118767618,"score_gpt":0.21895016473619935,"score_spread":0.20304355261743173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109724441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92118704,0.00045169273,0.003968966,0.00080004754,0.00082258886,0.0003611858,0.000034894456,0.0012984629,0.07107509],"genre_scores_gemma":[0.99814725,0.000043910375,0.00004812344,0.00071435026,0.0005896826,0.000009952674,0.0000103484335,0.000023887585,0.00041251405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919295,0.000023029326,0.00015970053,0.00017888952,0.0001890723,0.00025633708],"domain_scores_gemma":[0.9994831,0.0001236997,0.000014186008,0.00015200952,0.000019120187,0.00020785409],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000040517385,0.00014053761,0.00021806272,0.00002284471,0.000048223817,0.00004706973,0.00017494381,0.0000659759,0.00004927309],"category_scores_gemma":[0.000036266436,0.000121288125,0.00006587468,0.0002029948,0.000028991699,0.00011292345,0.000037736845,0.00018652303,0.002234257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016951346,0.00004642504,0.00013932018,0.00030421527,0.000053115957,0.000038650254,0.001964141,0.91191155,0.0044003967,0.0006260216,0.08000102,0.00049820635],"study_design_scores_gemma":[0.00019420037,0.000052106716,0.0000785614,0.000021371183,0.0000056117283,0.0000016339601,0.00010415343,0.93622583,0.0005987458,0.0000028371524,0.062534176,0.00018077948],"about_ca_topic_score_codex":0.000008286241,"about_ca_topic_score_gemma":0.0000017978477,"teacher_disagreement_score":0.07696016,"about_ca_system_score_codex":0.000027906239,"about_ca_system_score_gemma":0.000018186742,"threshold_uncertainty_score":0.9985426},"labels":[],"label_agreement":null},{"id":"W3109987404","doi":"10.1080/00207179.2020.1853813","title":"Observer-based backstepping control for nonlinear cyber-physical systems with incomplete measurements","year":2020,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Education of Liaoning Province","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Estimator; Observer (physics); Bounded function; Mathematics; Linear matrix inequality; Cyber-physical system; Network packet; State (computer science); Stability (learning theory); State observer; Mathematical optimization; Computer science; Control (management); Adaptive control; Algorithm","score_opus":0.02901824598375441,"score_gpt":0.2440467981617683,"score_spread":0.2150285521780139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109987404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28045258,0.0005077149,0.7125528,0.0031752707,0.002279947,0.0005502869,0.00018400433,0.000074702955,0.00022270918],"genre_scores_gemma":[0.99672544,0.000002806427,0.00070613186,0.00060151744,0.0019241136,0.000012047919,0.000004224449,0.000020858346,0.0000028786542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986697,0.000038583832,0.00038370697,0.000098518256,0.00064500235,0.00016448079],"domain_scores_gemma":[0.9987247,0.00022870551,0.00017776633,0.00006313707,0.00066311884,0.00014259477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019543873,0.00013899655,0.0003231955,0.000067103974,0.000033118657,0.0000854721,0.00039720212,0.00003876565,0.000006180974],"category_scores_gemma":[0.00011400639,0.00010809195,0.00015778988,0.000059881102,0.0000306329,0.00019606965,0.000006442518,0.00018625637,0.0000068980426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013741096,0.000088943874,0.0038287481,0.00008026312,0.0010423497,0.000061568935,0.00020569035,0.9754456,0.016456038,0.00018356116,0.00065589085,0.0005772103],"study_design_scores_gemma":[0.010274812,0.0004219833,0.0011103171,0.0002073775,0.00009441042,0.000032900476,0.000043686032,0.9781291,0.0011740564,0.00001831398,0.008324445,0.0001685912],"about_ca_topic_score_codex":0.0000043098125,"about_ca_topic_score_gemma":0.0000033097165,"teacher_disagreement_score":0.71627283,"about_ca_system_score_codex":0.00007828843,"about_ca_system_score_gemma":0.00007533449,"threshold_uncertainty_score":0.44078618},"labels":[],"label_agreement":null},{"id":"W3110367227","doi":"10.1109/ccece47787.2020.9255704","title":"Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Microgrid; Computer science; Controller (irrigation); Adversary; MATLAB; Control (management); Cyber-attack; Distributed computing; Computer security; Emulation; Embedded system; Operating system","score_opus":0.007634324028178427,"score_gpt":0.1969673080787629,"score_spread":0.18933298405058446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110367227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91316044,0.008033324,0.056589104,0.0040180837,0.000745474,0.0005334239,0.000039851446,0.00062063057,0.016259672],"genre_scores_gemma":[0.9985115,0.0003755796,0.00039716266,0.00048176246,0.00019602684,0.0000049273417,0.0000018957768,0.000013491496,0.000017651812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992704,0.000027040447,0.0002377718,0.00013496376,0.00012158878,0.00020824902],"domain_scores_gemma":[0.99959964,0.000080488266,0.000027477765,0.00018123719,0.000031951346,0.0000792096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010564618,0.00011331566,0.0001767835,0.00003130008,0.00007108592,0.000018934115,0.00029098341,0.0000533266,0.000042806347],"category_scores_gemma":[0.000041293577,0.00007572546,0.000082159335,0.00028556015,0.00008283431,0.00006395803,0.000029927072,0.00017445085,0.00003317496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113517715,0.0001625859,0.027931843,0.000704748,0.00065651286,0.00011539264,0.012880149,0.44324178,0.38803172,0.0028166668,0.03852152,0.08482358],"study_design_scores_gemma":[0.0015183972,0.00017525474,0.0067937966,0.00006402506,0.00007969819,0.000013464912,0.0012269778,0.8277474,0.12005023,0.00007253132,0.041659743,0.000598466],"about_ca_topic_score_codex":0.00001733919,"about_ca_topic_score_gemma":0.000013504916,"teacher_disagreement_score":0.38450566,"about_ca_system_score_codex":0.000010647696,"about_ca_system_score_gemma":0.000010531734,"threshold_uncertainty_score":0.30879948},"labels":[],"label_agreement":null},{"id":"W3112092637","doi":"10.1109/smc42975.2020.9283064","title":"Unsupervised Stacked Autoencoders for Anomaly Detection on Smart Cyber-physical Grids","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Autoencoder; Computer science; Anomaly detection; Cyber-physical system; Deep learning; Vulnerability (computing); Artificial intelligence; Data mining; Smart grid; Ensemble learning; Representation (politics); Machine learning; Electric power system; Construct (python library); Big data; Random forest; Artificial neural network; Feature learning; Power (physics); Engineering; Computer security; Computer network","score_opus":0.015817138357878294,"score_gpt":0.2116338345144194,"score_spread":0.1958166961565411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112092637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91918516,0.000015096182,0.075500265,0.0005835548,0.00049833785,0.00030973746,0.000012025879,0.00072975055,0.0031660441],"genre_scores_gemma":[0.9985531,0.0000068706513,0.0005496495,0.0003935143,0.00037918668,0.000033246997,0.000006755353,0.000024344428,0.000053355772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993125,0.000011657924,0.00011767261,0.00020067602,0.00013054776,0.00022689924],"domain_scores_gemma":[0.9996472,0.00007634355,0.000008928308,0.00011701374,0.000021994996,0.00012854431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036507092,0.00013617647,0.00014409755,0.0000340081,0.00007482361,0.000027930475,0.00011523708,0.000064138476,0.00003169202],"category_scores_gemma":[0.00003324333,0.00012100754,0.00009658059,0.00017330049,0.000028548156,0.00010573766,0.000012997735,0.0001362193,0.00009431226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071979465,0.00038982797,0.0011361439,0.0008680398,0.00031575072,0.000028313956,0.011561379,0.6180926,0.3013471,0.006927294,0.02067953,0.03793423],"study_design_scores_gemma":[0.00050236325,0.0003251417,0.0012682189,0.000007593367,0.000012896786,9.640358e-7,0.0001694418,0.8819752,0.10588895,0.000105823005,0.009540397,0.00020306757],"about_ca_topic_score_codex":0.00001495451,"about_ca_topic_score_gemma":0.000029415374,"teacher_disagreement_score":0.26388255,"about_ca_system_score_codex":0.000031418647,"about_ca_system_score_gemma":0.000011088782,"threshold_uncertainty_score":0.49345443},"labels":[],"label_agreement":null},{"id":"W3112557775","doi":"10.1109/tsg.2020.3042926","title":"False Data Injection Attacks Against State-of-Charge Estimation of Battery Energy Storage Systems in Smart Distribution Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Vulnerability (computing); Computer science; Smart grid; Estimation; Reliability engineering; Battery (electricity); Engineering; Computer security; Electrical engineering","score_opus":0.018831391125501525,"score_gpt":0.22363887910487068,"score_spread":0.20480748797936915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112557775","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21173939,0.00023745555,0.7843307,0.000040182367,0.0025158771,0.0001839622,0.0007918033,0.00012752503,0.000033071705],"genre_scores_gemma":[0.99887925,0.0003881889,0.00004462354,0.00003444087,0.00013180324,0.000028609751,0.000456461,0.000028378718,0.00000823631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846905,0.00009490819,0.00059879094,0.00031590156,0.00026587254,0.0002554536],"domain_scores_gemma":[0.99919534,0.000111658344,0.00010396633,0.00043364274,0.00004802396,0.000107363725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022042333,0.00021099552,0.00033848736,0.00014314617,0.00007334358,0.000024756115,0.00026263963,0.00013705732,0.000011074242],"category_scores_gemma":[0.000011585775,0.00022790267,0.00007114661,0.00061740645,0.00006400038,0.00043788744,0.0000050076214,0.0003403182,0.000009970168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006586079,0.00008783872,0.00012238853,0.00018656044,0.000040222247,0.0000049521636,0.000212742,0.9897622,0.0012022151,0.000007932602,0.0010347406,0.0072723865],"study_design_scores_gemma":[0.00037520227,0.000104229955,0.00053976756,0.00015206623,0.00002564959,0.0000041457283,0.00005050244,0.98742723,0.0098432,0.0000021242374,0.001275431,0.00020043607],"about_ca_topic_score_codex":0.00024426403,"about_ca_topic_score_gemma":0.00018579021,"teacher_disagreement_score":0.7871399,"about_ca_system_score_codex":0.00009862063,"about_ca_system_score_gemma":0.000032546133,"threshold_uncertainty_score":0.9293601},"labels":[],"label_agreement":null},{"id":"W3113542258","doi":"10.1109/tsg.2020.3046639","title":"Optimal Coordination of Phasor Data Concentrators in Hierarchical Synchrophasor Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phasor; Computer science; Electric power system; Control engineering; Engineering; Power (physics); Physics","score_opus":0.021776469537413756,"score_gpt":0.23718049219772996,"score_spread":0.21540402266031622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113542258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35729742,0.0001590413,0.63981354,0.0003811982,0.0016505192,0.00023678398,0.0001777183,0.00015920485,0.00012458],"genre_scores_gemma":[0.9987735,0.00017707761,0.0006952578,0.000100063626,0.00018342973,0.000014264825,0.000027357495,0.00002325113,0.0000057663215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988678,0.000047623096,0.00033439323,0.0002861237,0.00020365365,0.00026038272],"domain_scores_gemma":[0.99937254,0.00012236278,0.000028683582,0.00030904138,0.00002455964,0.00014282617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114222115,0.00016164574,0.00024097179,0.000085484055,0.000058490896,0.000018172828,0.00035788317,0.000118658994,0.00009962928],"category_scores_gemma":[0.000010311805,0.00016676338,0.000058068472,0.00049266627,0.00011600774,0.00025053116,0.0000032316516,0.00047751388,0.000019180075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084233274,0.000112013775,0.00010862153,0.00005481424,0.000036160603,0.000014427385,0.00034409238,0.99297035,0.0021342917,0.00002044191,0.0012769514,0.0028436312],"study_design_scores_gemma":[0.00079060724,0.00012639223,0.0003928014,0.000047108802,0.00002410377,0.0000057280054,0.00007155824,0.9837913,0.012273251,0.0000019420816,0.0022849876,0.00019020737],"about_ca_topic_score_codex":0.000017937076,"about_ca_topic_score_gemma":0.00003061082,"teacher_disagreement_score":0.6414761,"about_ca_system_score_codex":0.00003717865,"about_ca_system_score_gemma":0.00003356604,"threshold_uncertainty_score":0.6800413},"labels":[],"label_agreement":null},{"id":"W3113730827","doi":"10.1109/pesgm41954.2020.9281705","title":"A DoS-resilient Set-Theoretic Controller for Smart Grid Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Smart grid; Controller (irrigation); Model predictive control; Control theory (sociology); Grid; Computation; Actuator; Distributed computing; Control engineering; Engineering; Control (management); Algorithm; Mathematics","score_opus":0.011352792196646087,"score_gpt":0.21713426406124603,"score_spread":0.20578147186459994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113730827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023072753,0.00097031664,0.9463086,0.004239928,0.0006393243,0.0025514201,0.00012228698,0.0012987622,0.020796625],"genre_scores_gemma":[0.9969212,0.000051819177,0.0010109338,0.0009021858,0.00044715416,0.00048077144,0.000015921685,0.000021913558,0.00014809813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993681,0.0000065076415,0.0001581332,0.00016860524,0.00009244459,0.0002062204],"domain_scores_gemma":[0.99960124,0.00009856305,0.000011787784,0.0001218943,0.000028586075,0.00013791442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055572644,0.00010768106,0.00013933734,0.000023297049,0.0000715614,0.000025006728,0.00015667971,0.000053133852,0.00012761737],"category_scores_gemma":[0.000024841505,0.0000912074,0.00007712588,0.00013446421,0.000047739926,0.00004496735,0.000018790335,0.00008404696,0.00019646222],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031939198,0.00021015672,0.0015074232,0.0015174302,0.00037522163,0.000008254597,0.005268796,0.13931978,0.04309375,0.4088762,0.38444296,0.015060627],"study_design_scores_gemma":[0.0013667623,0.00009939561,0.00030709888,0.000010997009,0.00004109465,0.000004020682,0.00024019407,0.4211891,0.010794174,0.0023336026,0.563254,0.00035954162],"about_ca_topic_score_codex":0.000002576849,"about_ca_topic_score_gemma":0.0000049679975,"teacher_disagreement_score":0.97384846,"about_ca_system_score_codex":0.000014711503,"about_ca_system_score_gemma":0.0000097765615,"threshold_uncertainty_score":0.37193298},"labels":[],"label_agreement":null},{"id":"W3114988078","doi":"10.1109/smartgridcomm47815.2020.9302948","title":"On the Impact of Side Information on Smart Meter Privacy-Preserving Methods","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Commission; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Adversary; Computer science; Exploit; Adversarial system; Convergence (economics); Computer security; Process (computing); Artificial neural network; Smart meter; Key (lock); Artificial intelligence; Information privacy; Machine learning; Engineering","score_opus":0.07365011957017895,"score_gpt":0.22955861004088288,"score_spread":0.15590849047070393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114988078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222427,0.00002070952,0.06253866,0.00009026933,0.00042176843,0.00032660624,0.000035422225,0.00017010469,0.014153788],"genre_scores_gemma":[0.9993483,0.00008702394,0.0003929891,0.00006131267,0.00004416673,9.784344e-7,0.000015866599,0.000016149635,0.000033209897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908614,0.00016550893,0.00020557192,0.00024157461,0.000089928326,0.00021126535],"domain_scores_gemma":[0.9984592,0.00048960705,0.00012402049,0.0007745099,0.000058482878,0.0000941497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027367834,0.00025754698,0.00028202002,0.00018601993,0.00007133707,0.00004076345,0.00092968217,0.00021002007,0.00009538662],"category_scores_gemma":[0.0003064762,0.00020146756,0.00031162653,0.00034080245,0.00006153523,0.00023922867,0.0006270315,0.0007666395,0.000074018826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060840794,0.000016911075,0.0002709821,0.00013052482,0.0001743555,0.0000096617705,0.000710616,0.9902052,0.0003338324,0.0065650316,0.0013101415,0.0002118798],"study_design_scores_gemma":[0.0002349151,0.00012606817,0.005691003,0.0001938852,0.00006403658,9.657007e-7,0.00013612256,0.96933776,0.0051278695,0.01839197,0.00036919833,0.00032618374],"about_ca_topic_score_codex":0.00017396126,"about_ca_topic_score_gemma":0.000005628006,"teacher_disagreement_score":0.07710563,"about_ca_system_score_codex":0.0001669357,"about_ca_system_score_gemma":0.000052821688,"threshold_uncertainty_score":0.82156086},"labels":[],"label_agreement":null},{"id":"W3117643290","doi":"10.3390/en14010027","title":"Cyber-Security of Smart Microgrids: A Survey","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cyber-physical system; Computer security; Smart grid; Cyber-attack; Computer science; Electric power system; Engineering; Power (physics); Electrical engineering","score_opus":0.014076664105344115,"score_gpt":0.20213628156418803,"score_spread":0.18805961745884392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117643290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596286,0.001878318,0.00007643313,0.00008667978,0.0003104071,0.000036992027,0.000026530508,0.00018052483,0.0014412618],"genre_scores_gemma":[0.99936473,0.00029551206,0.00013919342,0.000066900015,0.000094078816,0.000003143363,0.000008743732,0.000012545547,0.000015173786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994488,0.000031842676,0.00015345965,0.000110359695,0.00010753419,0.00014799839],"domain_scores_gemma":[0.9996906,0.0000769173,0.000017284683,0.00012237875,0.000027352706,0.00006547159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091035065,0.00009463974,0.00015873167,0.000025180216,0.000023555596,0.00001230992,0.00016682043,0.000053470812,0.000046926856],"category_scores_gemma":[0.00006957561,0.00008975808,0.000049080616,0.00020506042,0.00006597367,0.00007193387,0.000041189884,0.00010147196,0.000028249931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002829029,0.0002879849,0.17862797,0.0017100604,0.00051097316,0.00008824865,0.03879699,0.3474114,0.21750751,0.005710839,0.20150523,0.0075598904],"study_design_scores_gemma":[0.00071958906,0.00021775295,0.13227612,0.00008019265,0.00002800301,0.000008338701,0.0006799841,0.0275941,0.7258709,0.0003025426,0.11144971,0.0007727466],"about_ca_topic_score_codex":0.00014308539,"about_ca_topic_score_gemma":0.0001635044,"teacher_disagreement_score":0.5083634,"about_ca_system_score_codex":0.0000069455923,"about_ca_system_score_gemma":0.000011913956,"threshold_uncertainty_score":0.36602283},"labels":[],"label_agreement":null},{"id":"W3117683648","doi":"10.1109/pesgm41954.2020.9281576","title":"False Data Injection Attacks Against State Estimation in Multiphase and Unbalanced Smart Distribution Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Vulnerability (computing); Phase (matter); Computer science; Distribution (mathematics); State (computer science); Power (physics); Estimation; Electric power system; Distributed computing; Engineering; Mathematics; Computer security; Algorithm; Physics","score_opus":0.021684776716446322,"score_gpt":0.24378681219824172,"score_spread":0.2221020354817954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117683648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8001525,0.00023358373,0.1986052,0.00008593725,0.00025660204,0.0002048427,0.00014926128,0.00021105843,0.00010104719],"genre_scores_gemma":[0.99897605,0.0001405143,0.00018502184,0.000031539847,0.000029082697,0.0000072078537,0.0006168058,0.0000075269854,0.0000062411655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939114,0.000022145814,0.00018062444,0.00018664067,0.0000893997,0.00013002832],"domain_scores_gemma":[0.9997091,0.000030306197,0.000018625627,0.00015585235,0.000014165953,0.00007192348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010717085,0.00008816298,0.00010793264,0.000025729163,0.000035203357,0.000050460745,0.00009225607,0.000045975925,0.0000016777296],"category_scores_gemma":[0.00007628759,0.00008406247,0.000007094323,0.00019181217,0.000020398149,0.0003689092,0.000046239333,0.000112595095,0.000012530128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024706073,0.000019654235,0.0067698997,0.00021401844,0.000010239505,0.0000097234115,0.00050749094,0.9825548,0.0029249543,0.00005197136,0.0014959964,0.0054165605],"study_design_scores_gemma":[0.0003965708,0.000020270742,0.005587187,0.00003365607,0.0000028821482,0.000002906503,0.00011550617,0.9921904,0.00054337794,0.000004919993,0.0009978516,0.000104421866],"about_ca_topic_score_codex":0.00009385355,"about_ca_topic_score_gemma":0.00011019881,"teacher_disagreement_score":0.19882359,"about_ca_system_score_codex":0.000037619913,"about_ca_system_score_gemma":0.000007803763,"threshold_uncertainty_score":0.3427968},"labels":[],"label_agreement":null},{"id":"W3119560447","doi":"10.1109/cdc42340.2020.9303784","title":"Undetectable Cyber Attacks on Communication Links in Multi-Agent Cyber-Physical Systems","year":2022,"lang":"en","type":"article","venue":"Qatar University QSpace (Qatar University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer security; Covert; Adversary; Cyber-physical system; Cyber-attack; Cyberwarfare; Root cause; Computer network; Engineering","score_opus":0.015263364176054554,"score_gpt":0.19533676915645778,"score_spread":0.18007340498040322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119560447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97979546,0.00026769348,0.0014475249,0.0005674576,0.00065298507,0.00060361857,0.00026088263,0.0005308587,0.015873507],"genre_scores_gemma":[0.99050534,0.00025870983,0.00022229974,0.000035831148,0.000033416833,6.687466e-7,0.000093454604,0.000029528554,0.008820728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830306,0.0003190835,0.00011911562,0.00042193214,0.00035991365,0.00047687488],"domain_scores_gemma":[0.99883187,0.00015257412,0.00006642284,0.0007264113,0.000046721707,0.0001759968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001719842,0.00026310567,0.00030688266,0.000684205,0.0006962092,0.000032790016,0.0010291617,0.00017502037,0.00010672867],"category_scores_gemma":[0.000011695445,0.0003572751,0.0001268632,0.0012419658,0.00013154448,0.00044569443,0.0005980192,0.0012872367,0.00010359251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002749249,0.0006840619,0.0031848983,0.00013023107,0.00016506131,0.0009717159,0.0052931462,0.96891516,0.000718757,0.010870693,0.0084732035,0.00031814323],"study_design_scores_gemma":[0.0031838443,0.00024251679,0.004379093,0.00012480468,0.00010137643,0.000014228193,0.038686212,0.13970527,0.00040651427,0.00001443259,0.8121713,0.00097043253],"about_ca_topic_score_codex":0.0019064056,"about_ca_topic_score_gemma":0.0016113219,"teacher_disagreement_score":0.8292099,"about_ca_system_score_codex":0.0015604798,"about_ca_system_score_gemma":0.00007480858,"threshold_uncertainty_score":0.99988794},"labels":[],"label_agreement":null},{"id":"W3125433098","doi":"10.29252/mjee.14.4.123","title":"Sophisticated Microgrid Communication System Management","year":2020,"lang":"en","type":"article","venue":"Majlesi Journal of Electrical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microgrid; Smart grid; Key (lock); Conversation; Grid; Function (biology); Quality assurance; Systems engineering; Quality of service; Computer science; Telecommunications; Engineering; Process management; Reliability engineering; Computer security; Control (management); Electrical engineering; Operations management","score_opus":0.004904408205925464,"score_gpt":0.1596670083220476,"score_spread":0.15476260011612214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125433098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3406674,0.04354147,0.6054156,0.0019898142,0.001685516,0.00063813914,0.000006308675,0.0016289523,0.0044268384],"genre_scores_gemma":[0.9937868,0.00058359595,0.005364473,0.00004010472,0.00019411785,0.0000022605084,0.0000011111912,0.000024733132,0.0000028059037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990926,0.000017169235,0.00039004965,0.00007618347,0.00020207046,0.00022197717],"domain_scores_gemma":[0.9995345,0.00005988233,0.000056322602,0.000118860706,0.000052719097,0.00017771684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013223464,0.00012799382,0.00023077374,0.00012491962,0.00003492298,0.00003241362,0.0003447307,0.0000589425,0.0000063617463],"category_scores_gemma":[0.000038846632,0.00012123961,0.00008563421,0.00045794583,0.00001237262,0.00009267002,0.000029309083,0.0003910475,0.000018509229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009410934,0.00008263436,0.00016488065,0.0014567926,0.00055247213,0.00059153675,0.00060080126,0.89163256,0.06378896,0.018663872,0.007307998,0.015063387],"study_design_scores_gemma":[0.00066383654,0.0001420848,0.00089581305,0.00022843566,0.000099332305,0.00027794228,0.00006613986,0.96120816,0.011400297,0.000020559863,0.024680821,0.00031657083],"about_ca_topic_score_codex":3.9858205e-7,"about_ca_topic_score_gemma":5.2649128e-8,"teacher_disagreement_score":0.6531194,"about_ca_system_score_codex":0.00011515761,"about_ca_system_score_gemma":0.000008305217,"threshold_uncertainty_score":0.4944008},"labels":[],"label_agreement":null},{"id":"W3125882489","doi":"10.1145/3419474","title":"Stealthy Attacks against Robotic Vehicles Protected by Control-based Intrusion Detection Techniques","year":2021,"lang":"en","type":"article","venue":"Digital Threats Research and Practice","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intrusion detection system; Computer science; Computer security; Software; Real-time computing; Intrusion; Actuator; Control (management); Command and control; Artificial intelligence; Operating system","score_opus":0.035959230158529934,"score_gpt":0.3288910315929537,"score_spread":0.29293180143442377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125882489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80320686,0.029011998,0.0790201,0.007980438,0.0005810319,0.0034840333,0.00022953618,0.0022360643,0.07424996],"genre_scores_gemma":[0.997436,0.0017396234,0.00032190036,0.00012387747,0.00008917064,0.00006723142,0.000039413993,0.000025802594,0.00015698928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841326,0.00023644895,0.00018374911,0.00028649272,0.00046418744,0.00041586094],"domain_scores_gemma":[0.99776655,0.0014176432,0.000029727513,0.00022623432,0.0003699618,0.00018989587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141373,0.00014124352,0.00016324484,0.000112994734,0.00027788786,0.00049905526,0.000110357156,0.00014213739,0.000009008126],"category_scores_gemma":[0.0015217875,0.00013039737,0.000030384921,0.0005077682,0.00015504137,0.0010115249,0.000054537744,0.00064537657,0.000026905302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012213284,0.0005774433,0.00039910674,0.0006131085,0.00013353497,0.0003670215,0.00030891394,0.0019748427,0.23073113,0.00009310356,0.0026434576,0.76093704],"study_design_scores_gemma":[0.003050707,0.002167566,0.001309878,0.0006381726,0.000044619635,0.00038628676,0.0017452509,0.07634125,0.7100249,0.0020352,0.20106827,0.0011878853],"about_ca_topic_score_codex":0.000013895168,"about_ca_topic_score_gemma":0.000014034974,"teacher_disagreement_score":0.7597491,"about_ca_system_score_codex":0.00007997402,"about_ca_system_score_gemma":0.00008390931,"threshold_uncertainty_score":0.531745},"labels":[],"label_agreement":null},{"id":"W3126632993","doi":"10.1109/epec48502.2020.9320092","title":"Event Tree Reliability Analysis of Electrical Power Generation Network using Formal Techniques","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Reliability (semiconductor); Reliability engineering; Toolbox; Monte Carlo method; Wind power; Formal verification; Electric power system; Power (physics); Algorithm; Engineering; Mathematics","score_opus":0.011756249361592813,"score_gpt":0.21663487803072448,"score_spread":0.20487862866913167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126632993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6999965,0.0012392821,0.2962942,0.00011475661,0.0002719545,0.00009612555,0.000007828741,0.00022307433,0.001756282],"genre_scores_gemma":[0.9980887,0.0007333187,0.00072451046,0.00016903052,0.0002211584,0.000011755712,0.000015905322,0.00001788068,0.00001773582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833345,0.00007156422,0.00045361675,0.00037175804,0.0002801874,0.0004894165],"domain_scores_gemma":[0.99934536,0.000057879384,0.0000794095,0.00021423506,0.00011102989,0.0001920581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018721168,0.00024521843,0.0004859228,0.0001613573,0.000110440225,0.000043918077,0.00019815715,0.0001897351,0.00008169272],"category_scores_gemma":[0.000043533502,0.00023073536,0.00017160764,0.0019496189,0.000043065003,0.00022899317,0.00003458386,0.00025582427,0.0000010597264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002790188,0.00024692112,0.00511435,0.00007581279,0.0017310318,0.000046262016,0.0019562761,0.5049652,0.4242969,0.019236425,0.0075848913,0.034466922],"study_design_scores_gemma":[0.00014375156,0.00027443992,0.0023827793,0.0000095359665,0.00026655803,0.000005694813,0.000013772389,0.94378656,0.05042851,0.00012308345,0.0022400317,0.00032525766],"about_ca_topic_score_codex":0.00006886152,"about_ca_topic_score_gemma":0.00005029805,"teacher_disagreement_score":0.4388214,"about_ca_system_score_codex":0.000063630076,"about_ca_system_score_gemma":0.0000884077,"threshold_uncertainty_score":0.9409115},"labels":[],"label_agreement":null},{"id":"W3126827950","doi":"10.1016/j.isatra.2021.01.036","title":"A survey on attack detection, estimation and control of industrial cyber–physical systems","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":303,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cyber-physical system; Industrial control system; Computer security; Denial-of-service attack; Computer science; Deception; Control system security; Control (management); Risk analysis (engineering); Engineering; Information security; Business; Security service","score_opus":0.024603424176158947,"score_gpt":0.23787974483965088,"score_spread":0.21327632066349195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126827950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6998812,0.00011633849,0.29886734,0.000023395256,0.00075824885,0.00010071049,0.00009318149,0.000063803476,0.000095772884],"genre_scores_gemma":[0.9998386,0.000019149325,0.000013150507,0.0000037908753,0.000079864294,0.000011172229,0.0000059983545,0.00000781136,0.00002049009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953675,0.000059509333,0.00012387957,0.00009480892,0.00009949706,0.00008557204],"domain_scores_gemma":[0.99960285,0.00020350808,0.000014444047,0.00009178501,0.00004559596,0.000041815943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072866016,0.000068431014,0.00013142967,0.000038932514,0.000061758336,0.0000190919,0.000025899773,0.000073589574,0.000008785471],"category_scores_gemma":[0.000028038476,0.000069345326,0.000033975004,0.00017900576,0.000033867214,0.000070926915,6.9072314e-7,0.00015699535,0.0000063790753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033120425,0.00010494448,0.0004005324,0.000052419535,0.00008788898,0.0000032180387,0.0004891833,0.9782331,0.009935125,0.000041946532,0.00009197465,0.0105265565],"study_design_scores_gemma":[0.0011211379,0.00008661723,0.015872378,0.00007473363,0.00005948278,0.000018608343,0.00011123196,0.9473689,0.034603294,0.000014820813,0.0005067548,0.00016203123],"about_ca_topic_score_codex":0.00010990284,"about_ca_topic_score_gemma":0.00029843065,"teacher_disagreement_score":0.29995736,"about_ca_system_score_codex":0.000019904348,"about_ca_system_score_gemma":0.000018007535,"threshold_uncertainty_score":0.28278202},"labels":[],"label_agreement":null},{"id":"W3127109442","doi":"10.1109/epec48502.2020.9320029","title":"Decoy-based Moving Target defense Against Cyber-physical Attacks On Smart Grid","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Decoy; Cyber-physical system; Computer science; Process (computing); Identification (biology); Controller (irrigation); Real-time computing; Set (abstract data type); Electric power system; Power (physics)","score_opus":0.008641113512269793,"score_gpt":0.19744757975949048,"score_spread":0.1888064662472207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127109442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9476756,0.00071807497,0.02597568,0.00085485674,0.0013002965,0.00011934928,0.000032678585,0.0006588778,0.02266461],"genre_scores_gemma":[0.9972158,0.0003134964,0.00013210982,0.0016028946,0.00055770064,0.00002340771,0.000026445834,0.00004712093,0.00008101116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816746,0.00006131025,0.00027071155,0.00053133134,0.00033083447,0.0006383819],"domain_scores_gemma":[0.99905586,0.0001596886,0.00004549381,0.00025074513,0.00006125864,0.0004269655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007225572,0.00039527914,0.00041521914,0.000102912076,0.0001636301,0.00010583704,0.0002966165,0.00016494318,0.00006107504],"category_scores_gemma":[0.000054605433,0.00037595336,0.00013435152,0.00055495027,0.00005854039,0.00014425394,0.000032251763,0.0004812573,0.000064504165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010019456,0.00097220775,0.0031468314,0.00055442133,0.0007801826,0.0015303491,0.0068054073,0.51611245,0.28828087,0.020952502,0.08569649,0.07416636],"study_design_scores_gemma":[0.000960751,0.0005795884,0.0012376992,0.00007377995,0.00004098765,0.000013119087,0.00007197117,0.88178146,0.06679646,0.00021704866,0.047203366,0.001023772],"about_ca_topic_score_codex":0.000037642574,"about_ca_topic_score_gemma":0.000026973554,"teacher_disagreement_score":0.36566904,"about_ca_system_score_codex":0.000052713734,"about_ca_system_score_gemma":0.00012650197,"threshold_uncertainty_score":0.9998692},"labels":[],"label_agreement":null},{"id":"W3127881992","doi":"10.1109/access.2021.3051968","title":"Cause-Consequence Diagram Reliability Analysis Using Formal Techniques With Application to Electrical Power Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Computer science; Dependability; Fault tree analysis; Automated theorem proving; Formal verification; Reliability engineering; HOL; Formal methods; Reliability (semiconductor); Electric power system; Monte Carlo method; Binary decision diagram; Computer engineering; Theoretical computer science; Algorithm; Power (physics); Programming language; Mathematics","score_opus":0.009876775214395641,"score_gpt":0.27334038595663096,"score_spread":0.26346361074223534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127881992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48025855,0.00006188428,0.5191933,0.000023436058,0.00005425908,0.00012494896,0.0000022931783,0.00016463257,0.00011670544],"genre_scores_gemma":[0.99672836,0.000038420836,0.0029356696,0.00012742325,0.00008269293,0.000062194136,0.0000066378907,0.00001435243,0.0000042390725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901384,0.000028561,0.0001877493,0.00028000723,0.00017273262,0.00031708385],"domain_scores_gemma":[0.9992958,0.000057831385,0.000027239592,0.000394964,0.00011976975,0.00010442823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001429201,0.00012885142,0.00019504187,0.000111794005,0.000094916904,0.000107850894,0.00025950337,0.000102048434,0.000014064114],"category_scores_gemma":[0.000026654125,0.0001133522,0.000059990754,0.0020470852,0.000041035833,0.00037273366,0.000042727264,0.00020628139,0.0000034334644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019497826,0.000041670297,0.022936683,0.000017272232,0.000111495385,0.000048659484,0.00008721713,0.9679528,0.0057944106,0.00007648332,0.0001335144,0.0027802975],"study_design_scores_gemma":[0.0001042243,0.00005001704,0.024449721,0.000029279161,0.0002674531,0.00006591442,0.000017065973,0.7942075,0.17935012,0.00011526217,0.00086463994,0.00047879588],"about_ca_topic_score_codex":0.00008181092,"about_ca_topic_score_gemma":0.0001700801,"teacher_disagreement_score":0.5164698,"about_ca_system_score_codex":0.00010321428,"about_ca_system_score_gemma":0.0000393823,"threshold_uncertainty_score":0.46223688},"labels":[],"label_agreement":null},{"id":"W3128078058","doi":"","title":"Security Assessment and Impact Analysis of Cyberattacks in Integrated T&D Power Systems","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Blocking (statistics); Computer security; Computer science; Grid; Risk analysis (engineering); Transmission (telecommunications); Reliability engineering; Telecommunications; Computer network; Business; Engineering","score_opus":0.02397341971729629,"score_gpt":0.20753869584476484,"score_spread":0.18356527612746854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128078058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051523,0.00060922117,0.0071065514,0.0000025245452,0.00036944213,0.00017192563,0.000099886456,0.00006700956,0.0010581794],"genre_scores_gemma":[0.9991431,0.0006933743,0.000019300694,0.000002770123,0.000008717265,7.564309e-7,0.00009111415,0.000014200775,0.000026653246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880046,0.0001313607,0.00026698486,0.0004825695,0.000082143335,0.00023647316],"domain_scores_gemma":[0.9991087,0.00008429834,0.00009444828,0.00048207212,0.00011625134,0.000114247676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021724169,0.00027248074,0.00069332146,0.00071145577,0.000029170014,0.000065640466,0.00026557664,0.00033456914,0.000070702496],"category_scores_gemma":[0.000013026368,0.0002862231,0.00024743084,0.0015959977,0.00008698728,0.00013464082,0.0002613305,0.0007034396,8.527652e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008922655,0.000054617292,0.1303383,0.00014606646,0.0010128636,0.00017946788,0.0005161016,0.86700135,0.000098149576,0.0006132234,0.000025775353,0.0000051543902],"study_design_scores_gemma":[0.0002115227,0.00002054351,0.10839529,0.00017918128,0.00045348937,0.0000019085394,0.0012947309,0.8890218,0.000048310383,0.00007718259,0.00001632138,0.000279725],"about_ca_topic_score_codex":0.0014075338,"about_ca_topic_score_gemma":0.0009946638,"teacher_disagreement_score":0.022020424,"about_ca_system_score_codex":0.00036950936,"about_ca_system_score_gemma":0.00013269833,"threshold_uncertainty_score":0.999959},"labels":[],"label_agreement":null},{"id":"W3128218187","doi":"10.1109/epec48502.2020.9319924","title":"The Impact of Cybersecurity on Siting Distributed Generation Units in AC Power Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer security; Vulnerability (computing); Computer science; Grid; Electric power system; Smart grid; Cyber-attack; Power grid; Vulnerability assessment; Critical infrastructure; Power (physics); Constraint (computer-aided design); Engineering; Electrical engineering","score_opus":0.014712708853617928,"score_gpt":0.21370253895143287,"score_spread":0.19898983009781496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128218187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920607,0.001314945,0.0040375087,0.000117997784,0.00039947202,0.00008300903,0.000037086473,0.00008097879,0.0018682961],"genre_scores_gemma":[0.9990155,0.0007839132,0.000002403771,0.000033248925,0.00009906666,0.000011266908,0.000024416733,0.00001457604,0.000015575639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881715,0.00008615611,0.00030574945,0.00023304073,0.00019837584,0.00035951703],"domain_scores_gemma":[0.9994192,0.00012782736,0.0000614995,0.00015429173,0.00009604727,0.00014109282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013449368,0.0002066489,0.0002566481,0.00005965869,0.000112668116,0.00008520859,0.0001894131,0.00011955198,0.000015092449],"category_scores_gemma":[0.00010062344,0.00015333857,0.00005356684,0.000797132,0.000037233654,0.00011522048,0.000019460858,0.0002830698,0.0000031737563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042228508,0.00022314503,0.004144814,0.00016009578,0.00054671156,0.00016773479,0.009979804,0.6098136,0.30273944,0.04176349,0.023249947,0.006788968],"study_design_scores_gemma":[0.0005980386,0.0005639627,0.006592644,0.00007041461,0.000016455451,0.000016064114,0.00040441842,0.9730856,0.01650139,0.00009474894,0.0016081621,0.00044812734],"about_ca_topic_score_codex":0.00033166085,"about_ca_topic_score_gemma":0.00007871528,"teacher_disagreement_score":0.363272,"about_ca_system_score_codex":0.000070221184,"about_ca_system_score_gemma":0.00010509148,"threshold_uncertainty_score":0.62529653},"labels":[],"label_agreement":null},{"id":"W3130939677","doi":"10.1109/vtc2020-fall49728.2020.9348660","title":"Mobile Energy Resource Allocation for Distribution System Resilience Against Earthquakes","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Blackout; Resilience (materials science); Computer science; Contingency; Reliability engineering; Natural disaster; Electric power system; Resource (disambiguation); Resource allocation; Node (physics); Power (physics); Engineering; Computer network; Geography; Structural engineering","score_opus":0.006709958495726994,"score_gpt":0.18523024841535785,"score_spread":0.17852028991963084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130939677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13300028,0.0008796885,0.85630083,0.0002789771,0.0003265935,0.00041941585,0.00007685164,0.0013083167,0.0074090376],"genre_scores_gemma":[0.9989876,0.000050904182,0.0002618745,0.00014790763,0.00021452004,0.00009584858,0.0001254916,0.000012906238,0.000102955775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931407,0.000015945723,0.00016993645,0.00017908087,0.0001336537,0.00018732747],"domain_scores_gemma":[0.99966776,0.000047679063,0.000018596036,0.00012895803,0.000034699107,0.00010231982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007476702,0.0000987808,0.000106233165,0.000015106467,0.00009303572,0.000034132903,0.00015497644,0.000067245615,0.000004323276],"category_scores_gemma":[0.000031016436,0.000092090784,0.00004677858,0.00017604449,0.00002889974,0.00010201771,0.000017419154,0.000054226508,0.000019176832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007093611,0.00003478583,0.0001407689,0.00086802,0.000036832236,0.000006602204,0.0016835224,0.8217288,0.031620808,0.044085126,0.07401509,0.025708653],"study_design_scores_gemma":[0.00017361496,0.00008478806,0.00009277916,0.000033569355,0.0000059959893,0.0000018214845,0.000939894,0.63778704,0.039222285,0.000009166229,0.3214891,0.00015995053],"about_ca_topic_score_codex":0.000005986699,"about_ca_topic_score_gemma":0.000008670136,"teacher_disagreement_score":0.8659873,"about_ca_system_score_codex":0.000043445925,"about_ca_system_score_gemma":0.000011065165,"threshold_uncertainty_score":0.3755353},"labels":[],"label_agreement":null},{"id":"W3132469247","doi":"10.1109/pesgm46819.2021.9638155","title":"Targeted False Data Injection Attack against DC State Estimation without Line Parameters","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Phasor; Phasor measurement unit; State (computer science); Line (geometry); Computer science; Exploit; Estimation; Units of measurement; Data mining; Algorithm; Engineering; Mathematics; Electric power system; Computer security; Physics","score_opus":0.030715910502610452,"score_gpt":0.2690161561051419,"score_spread":0.23830024560253144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132469247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.892777,0.0019825252,0.100112714,0.00024759045,0.0037455012,0.00011633939,0.00013466804,0.00042844348,0.00045516447],"genre_scores_gemma":[0.854503,0.0027737604,0.13396168,0.0011661596,0.0009860293,0.000047804315,0.0031368544,0.00019982652,0.0032249016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99698675,0.00021924204,0.00065536186,0.0008558918,0.00055395544,0.00072877476],"domain_scores_gemma":[0.99811953,0.00013405549,0.00015617904,0.0011400045,0.00021355876,0.00023666368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006305074,0.00047209748,0.00046228874,0.00006903158,0.0003512888,0.00021911923,0.00049275975,0.00030168777,0.00006283245],"category_scores_gemma":[0.00024462672,0.0005028348,0.0002683457,0.00076696137,0.00011886788,0.00047922638,0.00022434692,0.00050931005,0.00007011144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011415615,0.000058583348,0.00017073518,0.00005961728,0.00020578178,0.000009211163,0.0013308406,0.90019685,0.06875908,0.000007371278,0.027164204,0.0020263176],"study_design_scores_gemma":[0.0006445101,0.000033728982,0.00008858766,0.00018041595,0.0000743387,0.000028746374,0.00026696996,0.86751634,0.06131042,0.00007138272,0.06891339,0.0008711614],"about_ca_topic_score_codex":0.00018258148,"about_ca_topic_score_gemma":0.00088464335,"teacher_disagreement_score":0.041749187,"about_ca_system_score_codex":0.00019276548,"about_ca_system_score_gemma":0.00012755355,"threshold_uncertainty_score":0.9997423},"labels":[],"label_agreement":null},{"id":"W3132609833","doi":"10.1109/vtc2020-fall49728.2020.9348483","title":"A Scalable High-interaction Physical Honeypot Framework for Programmable Logic Controller","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Honeypot; Firmware; Computer science; Programmable logic controller; Scalability; Software deployment; Embedded system; Controller (irrigation); Distributed computing; Operating system; Computer network","score_opus":0.019066680365417074,"score_gpt":0.2501665614835851,"score_spread":0.23109988111816804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132609833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22580984,0.00021091574,0.7634546,0.003555857,0.0012328262,0.0011439553,0.000013407276,0.0014890311,0.0030895649],"genre_scores_gemma":[0.9853745,0.000014159906,0.013119624,0.00051354326,0.00075249805,0.000105195504,0.000004858644,0.000018903556,0.00009673032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936545,0.000008440518,0.00011019708,0.0001690483,0.000097020056,0.00024983377],"domain_scores_gemma":[0.9996372,0.0001335494,0.000014689756,0.00007878325,0.000029092296,0.00010672793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033688764,0.00011360246,0.00019709286,0.000016400661,0.00005972718,0.000056084005,0.00009892822,0.0000759889,0.000073907904],"category_scores_gemma":[0.000072630755,0.00009136184,0.00008368002,0.00014587479,0.000023427447,0.00013333156,0.000015654654,0.00018027396,0.00016719344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001017149,0.0007036619,0.00034264548,0.0010951904,0.00047686786,0.000020931207,0.004207453,0.2732454,0.04816349,0.55692863,0.0843034,0.029495189],"study_design_scores_gemma":[0.0009729824,0.00028971606,0.00008547992,0.00003823944,0.00002932765,0.0000023205205,0.00019746531,0.9149233,0.018800503,0.024207065,0.040170155,0.00028344023],"about_ca_topic_score_codex":0.00000847224,"about_ca_topic_score_gemma":0.0000023351379,"teacher_disagreement_score":0.75956464,"about_ca_system_score_codex":0.000018957548,"about_ca_system_score_gemma":0.000006054423,"threshold_uncertainty_score":0.37256277},"labels":[],"label_agreement":null},{"id":"W3133087044","doi":"10.1002/rnc.5432","title":"A safety preserving control architecture for cyber‐physical systems","year":2021,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Setpoint; Bounded function; Control theory (sociology); Controller (irrigation); Cyber-physical system; Architecture; Trajectory; Computer science; State (computer science); Control (management); Detector; Cyber-attack; Control system; Control engineering; Engineering; Computer security; Mathematics; Algorithm; Telecommunications; Artificial intelligence","score_opus":0.006720322018188377,"score_gpt":0.22383263502831344,"score_spread":0.21711231301012507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133087044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3575545,0.0068347324,0.6263233,0.0030892103,0.004913437,0.00034008245,0.00036933602,0.000054955388,0.0005204745],"genre_scores_gemma":[0.9950825,0.0001524459,0.0016107702,0.00012197748,0.0029402308,0.000004816877,0.000006843037,0.000015334295,0.00006507477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916446,0.000035801782,0.000302126,0.000090824135,0.00026596148,0.0001408004],"domain_scores_gemma":[0.9989713,0.0003690135,0.00008700764,0.00006865796,0.00041660212,0.000087425535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018698929,0.000106932355,0.00026086994,0.000071805865,0.000042007705,0.0000888934,0.00020099539,0.000056201032,0.000008702038],"category_scores_gemma":[0.0001552039,0.00008701298,0.00014305404,0.000043062595,0.000028339553,0.0001262588,0.000017415492,0.00022471005,0.000001044164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060553383,0.00010289044,0.0008978633,0.000083234896,0.0008567568,0.0001811949,0.00039727867,0.98160905,0.008834807,0.0006374068,0.0010470093,0.0047470024],"study_design_scores_gemma":[0.0051292344,0.00009045541,0.0008742419,0.00017981393,0.00008582425,0.00058645033,0.00011783773,0.94744724,0.0005400313,0.0001634491,0.044633612,0.00015179302],"about_ca_topic_score_codex":0.000003463222,"about_ca_topic_score_gemma":0.000012364807,"teacher_disagreement_score":0.637528,"about_ca_system_score_codex":0.00003128372,"about_ca_system_score_gemma":0.000051962255,"threshold_uncertainty_score":0.35482863},"labels":[],"label_agreement":null},{"id":"W3134279748","doi":"10.3390/en14051380","title":"Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Smart grid; Computer security; Resilience (materials science); Robustness (evolution); Computer science; Power grid; Key (lock); Cyber-attack; Grid; Cyber threats; Identification (biology); Electric power system; Power (physics); Engineering; Electrical engineering","score_opus":0.04859358648434937,"score_gpt":0.30129882746947867,"score_spread":0.2527052409851293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134279748","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000066776142,0.9920119,0.0000044805665,0.000059603844,0.001989002,0.00031731813,0.000011173077,0.00018356825,0.0054162554],"genre_scores_gemma":[0.0000031627085,0.9989312,0.00008993728,0.00003273113,0.00039183092,0.00028223844,0.00009837661,0.00006410453,0.000106395935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786943,0.00017304184,0.00072242296,0.00048335962,0.00027985123,0.00047186547],"domain_scores_gemma":[0.99908644,0.0001368798,0.00009807396,0.0005716286,0.000028647493,0.00007834429],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036965695,0.00052507303,0.0019395162,0.00021044667,0.000051287272,0.000031610736,0.00041668594,0.0002589536,0.00021538007],"category_scores_gemma":[0.00007753275,0.00047617318,0.0004320905,0.00053593057,0.000048318445,0.00013626355,0.00014700564,0.00062443095,0.00008895844],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.828888e-7,0.000027457398,2.593769e-7,0.12351826,0.000088733825,0.00009227969,0.0002725733,0.00014391591,2.832212e-7,0.0007617861,0.004332816,0.87076145],"study_design_scores_gemma":[0.000041199124,0.0000067698907,5.675217e-7,0.12718408,0.00013154284,0.000025590038,0.000052695228,0.000020770834,0.0000083838995,0.000011529174,0.87208337,0.00043349108],"about_ca_topic_score_codex":0.00001630957,"about_ca_topic_score_gemma":0.00012970208,"teacher_disagreement_score":0.87032795,"about_ca_system_score_codex":0.000131016,"about_ca_system_score_gemma":0.00008990658,"threshold_uncertainty_score":0.999769},"labels":[],"label_agreement":null},{"id":"W3134313495","doi":"10.1049/esi2.12003","title":"On the perspective of grid architecture model with high TSO‐DSO interaction","year":2021,"lang":"en","type":"article","venue":"IET Energy Systems Integration","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Perspective (graphical); Architecture; Grid; Computer science; Computer architecture; Mathematics; Artificial intelligence; Art; Geometry; Visual arts","score_opus":0.00660271939595253,"score_gpt":0.19409463413009964,"score_spread":0.1874919147341471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134313495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44659317,0.00057125685,0.5329387,0.000687861,0.0029888186,0.00020671594,0.0000413391,0.00021130839,0.015760813],"genre_scores_gemma":[0.9992302,0.000035766956,0.000116803894,0.00003677031,0.00021779773,0.000034744673,0.000020831254,0.000015542224,0.00029150854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993263,0.000066423316,0.00015888382,0.0001514728,0.00019672951,0.00010018711],"domain_scores_gemma":[0.9994271,0.0001032574,0.00004912434,0.00022112069,0.00017609444,0.000023341274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006131738,0.00012257417,0.00013805438,0.000059915124,0.000054771463,0.00003616071,0.000085743406,0.00007255737,0.000009831403],"category_scores_gemma":[0.00004087025,0.0000726441,0.000043607564,0.0001839668,0.000033702196,0.00008694403,0.000008151834,0.00019929922,0.0000026729947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002825151,0.000016981308,0.0000018666758,0.000015682037,0.000035276305,0.000002789202,0.0011800207,0.80687135,0.007866528,0.1830327,0.00079408113,0.0001544767],"study_design_scores_gemma":[0.00017175339,0.0001095998,0.000036905374,0.00040618444,0.000019573587,0.00005105708,0.0052392306,0.8607822,0.12944998,0.0027557004,0.0008093144,0.00016851963],"about_ca_topic_score_codex":0.0005326626,"about_ca_topic_score_gemma":0.0009051683,"teacher_disagreement_score":0.55263704,"about_ca_system_score_codex":0.000110386405,"about_ca_system_score_gemma":0.000032153475,"threshold_uncertainty_score":0.29623404},"labels":[],"label_agreement":null},{"id":"W3135420888","doi":"10.1109/access.2021.3065268","title":"Integration of Failure Detector in Bias Filter for Estimation of False Data Injection Cyberattacks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Estimator; Residual; Kalman filter; Detector; Filter (signal processing); Node (physics); Data mining; Algorithm; Artificial intelligence; Statistics; Engineering; Mathematics; Telecommunications","score_opus":0.07132954250821201,"score_gpt":0.3249791886309729,"score_spread":0.2536496461227609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135420888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86761403,0.00008098605,0.13159901,0.000023189315,0.00044250337,0.0001244995,0.000061228326,0.000021392112,0.000033136603],"genre_scores_gemma":[0.9976322,0.000016665888,0.0021607806,0.000007856125,0.000055691467,0.000013874532,0.000097646625,0.000007735198,0.0000075414277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994818,0.00001870958,0.00022097168,0.00011965488,0.00008362837,0.000075234915],"domain_scores_gemma":[0.9995244,0.00009329766,0.00004373443,0.0002540132,0.00007103312,0.0000135232785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116913485,0.00006122119,0.00011839783,0.00008566678,0.000013820333,0.000025226118,0.00020017716,0.000066893954,0.000013347262],"category_scores_gemma":[0.00016516622,0.000058972106,0.000021372283,0.00026602895,0.000015939446,0.0005635267,0.000030179735,0.00007215695,9.1226156e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003882939,0.00007957483,0.0023434118,0.00064928475,0.000030060824,0.000002862277,0.0010042086,0.6528954,0.3139059,0.00009352711,0.002822761,0.02613421],"study_design_scores_gemma":[0.00019287219,0.000016664495,0.0039130272,0.00009687781,0.000007687109,0.0000024387016,0.000059804373,0.38839224,0.60696805,0.00016877089,0.000120310404,0.00006126877],"about_ca_topic_score_codex":0.00006008128,"about_ca_topic_score_gemma":0.0018957874,"teacher_disagreement_score":0.29306215,"about_ca_system_score_codex":0.000017603112,"about_ca_system_score_gemma":0.000021945949,"threshold_uncertainty_score":0.24048126},"labels":[],"label_agreement":null},{"id":"W3135537813","doi":"10.1109/tsg.2021.3062722","title":"Stealthy Black-Box Attacks on Deep Learning Non-Intrusive Load Monitoring Models","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Computer science; Smart meter; Black box; Context (archaeology); Big data; Electricity; Data modeling; Computer security; Deep learning; Artificial intelligence; Machine learning; Engineering; Data mining; Database","score_opus":0.01364995505852598,"score_gpt":0.23309673175822415,"score_spread":0.21944677669969817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135537813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47152317,0.00033100616,0.51082444,0.0001749636,0.009834955,0.00027470355,0.000029607403,0.00064167235,0.006365462],"genre_scores_gemma":[0.99678713,0.0011652762,0.00050532963,0.000088651104,0.0007061388,0.000050698753,0.0000047791405,0.00007305467,0.0006189452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805045,0.00007354821,0.00034709572,0.00046186746,0.0005092513,0.000557794],"domain_scores_gemma":[0.998959,0.00019508919,0.00004037127,0.00042926043,0.00014579421,0.00023047494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014989352,0.00033605134,0.00032271977,0.0001603806,0.0004112228,0.00008352516,0.00020273236,0.00021832214,0.00012359892],"category_scores_gemma":[0.000009746521,0.0003646643,0.00020575817,0.0004572122,0.000075628865,0.00030206263,0.0000029722667,0.0011643782,0.0004659391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004512312,0.00010455522,0.000047887595,0.0000791405,0.00008023013,0.00006996209,0.0018452748,0.9882523,0.0032601943,0.000015733833,0.0002215781,0.0059780492],"study_design_scores_gemma":[0.001371713,0.00034361886,0.00058223744,0.000454969,0.000103117694,0.00006465436,0.0018224557,0.57237333,0.41354144,0.00010095647,0.008230175,0.0010113161],"about_ca_topic_score_codex":0.00003969578,"about_ca_topic_score_gemma":0.000100460704,"teacher_disagreement_score":0.52526397,"about_ca_system_score_codex":0.0003114194,"about_ca_system_score_gemma":0.0000899922,"threshold_uncertainty_score":0.99988055},"labels":[],"label_agreement":null},{"id":"W3135872604","doi":"10.1109/tcns.2020.3024315","title":"A Blended Active Detection Strategy for False Data Injection Attacks in Cyber-Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Digital watermarking; Computer science; Covert; Scheme (mathematics); Detector; Limit (mathematics); Computer security; Function (biology); Cyber-physical system; Real-time computing; Artificial intelligence; Image (mathematics); Telecommunications","score_opus":0.03255688954800123,"score_gpt":0.2539078176066916,"score_spread":0.2213509280586904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135872604","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057930812,0.0004764209,0.9364722,0.000035238474,0.0029995579,0.0014686148,0.00031490377,0.0002138643,0.00008843598],"genre_scores_gemma":[0.9986393,0.00003929112,0.000012007883,0.000012443943,0.0009692533,0.00026840073,0.000011096158,0.00003836711,0.000009881728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984212,0.0001399454,0.00049293897,0.00037440905,0.00023046912,0.00034103048],"domain_scores_gemma":[0.99898785,0.0003607091,0.00010688581,0.00035691317,0.00007308083,0.000114575014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021924077,0.0002318745,0.0005343245,0.00010101687,0.0001003157,0.000048559345,0.0002653557,0.00017877168,0.0000014737241],"category_scores_gemma":[0.0000088109955,0.00023172254,0.00011116735,0.00045214087,0.000038205013,0.000321655,0.000001421264,0.00036771098,0.000007879063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004406582,0.0000708093,0.000008605561,0.0002765285,0.00016424038,0.0000026787643,0.0002747037,0.9911425,0.0038470146,0.000034108627,0.00014402778,0.0035941103],"study_design_scores_gemma":[0.0016557646,0.00045676145,0.00006701935,0.00015613284,0.00008682504,0.000011021117,0.00044714424,0.9950561,0.0013039886,0.000008196088,0.0005410551,0.00020997292],"about_ca_topic_score_codex":0.00017209,"about_ca_topic_score_gemma":0.0004141623,"teacher_disagreement_score":0.94070846,"about_ca_system_score_codex":0.00010364277,"about_ca_system_score_gemma":0.000041550033,"threshold_uncertainty_score":0.9449371},"labels":[],"label_agreement":null},{"id":"W3136730631","doi":"10.1109/access.2021.3066108","title":"Resilience Estimation of Cyber-Physical Systems via Quantitative Metrics","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; European Commission","keywords":"Resilience (materials science); Computer science; Estimation; Cyber-physical system; Systems engineering; Engineering","score_opus":0.024246287058704245,"score_gpt":0.3043444333995016,"score_spread":0.2800981463407974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136730631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8161118,0.0007316757,0.18083529,0.00001184355,0.0010989263,0.000077853656,0.000008436467,0.00007272216,0.0010514498],"genre_scores_gemma":[0.99921775,0.000056976533,0.0005977111,0.0000067571677,0.00007186492,0.000009108757,0.000003875183,0.000010183318,0.000025771946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924725,0.000036034526,0.0001826744,0.00014420366,0.00024728166,0.00014255712],"domain_scores_gemma":[0.9993645,0.0002355109,0.000042222455,0.00019719999,0.000115359006,0.00004519833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000866611,0.000088639856,0.00018141081,0.00008983213,0.000039487863,0.000055489945,0.00023768924,0.000049194732,0.0000049757027],"category_scores_gemma":[0.000121517456,0.00008505288,0.00004192919,0.00086034293,0.000054230983,0.00039786537,0.00002989039,0.000111207126,0.000021502492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004144873,0.00004710497,0.00046346185,0.00023568484,0.000022227425,0.000018631727,0.00053567317,0.9799513,0.014855714,0.0021125337,0.00043161534,0.0013218998],"study_design_scores_gemma":[0.00008833429,0.000019644098,0.0023142092,0.00006124042,0.000013773943,0.000007817307,0.00010041342,0.834194,0.1626609,0.00033641033,0.00009072988,0.00011251438],"about_ca_topic_score_codex":0.000058519407,"about_ca_topic_score_gemma":0.000014198807,"teacher_disagreement_score":0.18310595,"about_ca_system_score_codex":0.000028886501,"about_ca_system_score_gemma":0.000026215526,"threshold_uncertainty_score":0.34683558},"labels":[],"label_agreement":null},{"id":"W3137234870","doi":"10.1109/ccwc51732.2021.9376126","title":"Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm","year":2021,"lang":"en","type":"article","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reinforcement learning; Computer science; Microgrid; Relay; Controller (irrigation); Adversary; Software; Distributed computing; Electric power system; Control (management); Embedded system; Computer security; Artificial intelligence; Power (physics); Operating system","score_opus":0.010216353840065735,"score_gpt":0.19774913836926664,"score_spread":0.1875327845292009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137234870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6531488,0.0014316404,0.27899247,0.00044995398,0.0011050787,0.0006106941,0.0001346349,0.0005385923,0.06358814],"genre_scores_gemma":[0.9918737,0.00015925973,0.005793685,0.00007920162,0.00009391703,0.000008141199,0.00010914449,0.00002573565,0.0018572215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984747,0.00010231695,0.00031807914,0.00034089145,0.00032802616,0.0004359822],"domain_scores_gemma":[0.9991014,0.00027124395,0.00009568429,0.00023017448,0.00019614528,0.000105356776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016011641,0.00025147194,0.0003372678,0.0001755482,0.00029139649,0.000031078245,0.0002381732,0.00008504501,0.00007366896],"category_scores_gemma":[0.00004876305,0.00027418495,0.000121611076,0.00037985403,0.00015789038,0.00016114287,0.00012550903,0.00028465834,0.000034661993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006609386,0.0001576178,0.019109005,0.00030317937,0.00031251067,0.00047661018,0.0006850724,0.9227788,0.04877789,0.0029032908,0.0006280532,0.00380191],"study_design_scores_gemma":[0.0034951312,0.0003580601,0.050652646,0.0003286406,0.00029054692,0.00014366547,0.0011837546,0.86651087,0.041692164,0.00007906976,0.03430242,0.0009630486],"about_ca_topic_score_codex":0.000015781901,"about_ca_topic_score_gemma":0.000019476385,"teacher_disagreement_score":0.3387249,"about_ca_system_score_codex":0.000107094915,"about_ca_system_score_gemma":0.00012441028,"threshold_uncertainty_score":0.99997103},"labels":[],"label_agreement":null},{"id":"W3138139098","doi":"10.1016/j.automatica.2021.109555","title":"Optimal stealthy integrity attacks on remote state estimation: The maximum utilization of historical data","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Encryption; Data integrity; State (computer science); Computer science; Compressed sensing; Constraint (computer-aided design); Sequence (biology); Computer security; Mathematical optimization; Covariance; Real-time computing; Engineering; Algorithm; Mathematics","score_opus":0.06433341720941231,"score_gpt":0.3022962683659009,"score_spread":0.23796285115648858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138139098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34992418,0.0018326864,0.6361085,0.0038697876,0.0021007108,0.00040604416,0.000091780465,0.0006593879,0.005006934],"genre_scores_gemma":[0.9667144,0.00028572595,0.03248437,0.00013268186,0.000074492404,0.0000032118805,0.00010517394,0.00002439713,0.00017556548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908054,0.000068696434,0.00028235256,0.00016494126,0.0002547793,0.00014871621],"domain_scores_gemma":[0.9989172,0.00020724788,0.000045328146,0.0007296326,0.000053797066,0.000046747235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024878405,0.000096804986,0.00015323808,0.000030848692,0.00007296175,0.000023183722,0.00032941467,0.000058371017,0.000052941552],"category_scores_gemma":[0.0002796593,0.00007325502,0.000028112723,0.00024521168,0.000045035045,0.00012412782,0.00009746355,0.000240374,0.000038500075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005731099,0.00035616578,0.00018399983,0.0011742315,0.0001846278,0.000090093934,0.0057270154,0.6619688,0.0007806342,0.0032417395,0.117744245,0.2084911],"study_design_scores_gemma":[0.00011345318,0.000030159714,0.0013618725,0.000058773512,0.000014754771,0.00001254054,0.00006842169,0.9880007,0.0013979176,0.0005993593,0.008258364,0.00008366846],"about_ca_topic_score_codex":0.000022443626,"about_ca_topic_score_gemma":0.000020240823,"teacher_disagreement_score":0.61679024,"about_ca_system_score_codex":0.00010830567,"about_ca_system_score_gemma":0.000065783446,"threshold_uncertainty_score":0.2987253},"labels":[],"label_agreement":null},{"id":"W3138776401","doi":"10.3390/su13063196","title":"Security Risk Modeling in Smart Grid Critical Infrastructures in the Era of Big Data and Artificial Intelligence","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Smart grid; Big data; Computer science; Computer security; Grid; Reliability (semiconductor); Artificial intelligence; Engineering; Data mining","score_opus":0.026833602628213153,"score_gpt":0.2818159334575535,"score_spread":0.25498233082934035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138776401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896624,0.0008830581,0.008314075,0.00053138897,0.00030703275,0.00016186725,0.00006455463,0.000020476424,0.00005512712],"genre_scores_gemma":[0.9995097,0.0001624896,0.00017757594,0.000019348974,0.00010574167,0.000006990456,0.000012091624,0.00000590184,1.4271149e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986146,0.00024216589,0.00037949503,0.00031182254,0.00017747752,0.00027445477],"domain_scores_gemma":[0.9986841,0.00045129616,0.000015814037,0.0006562567,0.00015130757,0.000041214756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081975,0.000115150404,0.00019212511,0.00005193935,0.00005655311,0.00003746622,0.00034244006,0.000095427036,0.000009791587],"category_scores_gemma":[0.0040972373,0.00009562879,0.000025316138,0.00043699436,0.00024986442,0.00015780133,0.00023379066,0.00069225923,2.7098343e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016087915,0.00062941376,0.2676388,0.0033589306,0.000030248733,0.00039376412,0.040532097,0.5476144,0.00016277326,0.02686234,0.000115474315,0.11250087],"study_design_scores_gemma":[0.000048263017,0.00001464738,0.02860632,0.000028091174,0.000007998298,0.000010451734,0.009538071,0.66916794,0.0004901863,0.29190648,0.00005739529,0.0001241678],"about_ca_topic_score_codex":0.0006835132,"about_ca_topic_score_gemma":0.0037965924,"teacher_disagreement_score":0.26504412,"about_ca_system_score_codex":0.00008618372,"about_ca_system_score_gemma":0.00016754404,"threshold_uncertainty_score":0.49050716},"labels":[],"label_agreement":null},{"id":"W3148179072","doi":"10.1109/tpwrd.2021.3068557","title":"Loss-of-Voltage Detection for Relays Protecting Systems With Inverter-Based Resources","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Relay; Protective relay; Transformer; Voltage; Inverter; Engineering; Overcurrent; Three-phase; Computer science; Fault (geology); Fuse (electrical); Electronic engineering; Reliability engineering; Electrical engineering; Power (physics)","score_opus":0.009404433589767815,"score_gpt":0.19063268939030822,"score_spread":0.18122825580054042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148179072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39562815,0.00013983995,0.6029502,0.000008049115,0.0006957942,0.00030659363,0.000027322498,0.00014286743,0.000101140235],"genre_scores_gemma":[0.9992924,0.000017012146,0.000353693,0.000020428972,0.000031827894,0.00017526733,0.000001409974,0.000034303983,0.00007369076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991353,0.00004395422,0.00022079225,0.00021545815,0.00018208334,0.00020238465],"domain_scores_gemma":[0.999351,0.00019927186,0.00004095557,0.00022956727,0.000121570214,0.000057625482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001419982,0.00015109092,0.00017851252,0.00013915791,0.0001950481,0.000034149645,0.00008269753,0.000120328696,0.000016783066],"category_scores_gemma":[0.0000072436137,0.00014224852,0.00010250387,0.00030729017,0.000053519267,0.00013325053,5.052285e-7,0.00028743685,0.0000067025644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022840628,0.0001298309,0.000034815763,0.00056762184,0.00012642026,0.000030940246,0.0009563644,0.8892677,0.10457385,0.000005200142,0.000035642148,0.004043195],"study_design_scores_gemma":[0.0007964069,0.00042181573,0.000057714744,0.00038223455,0.00006482591,0.00005372579,0.0007812733,0.24904908,0.74616647,0.0000058469286,0.0019332017,0.00028739808],"about_ca_topic_score_codex":0.000038292055,"about_ca_topic_score_gemma":0.00012720856,"teacher_disagreement_score":0.6415926,"about_ca_system_score_codex":0.000063841355,"about_ca_system_score_gemma":0.000037653605,"threshold_uncertainty_score":0.58007264},"labels":[],"label_agreement":null},{"id":"W3152504018","doi":"10.1109/msmc.2020.3049092","title":"Observer-Based Attack Detection and Mitigation for Cyberphysical Systems: A Review","year":2021,"lang":"en","type":"review","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Cyber-physical system; Software deployment; Computer science; Wireless sensor network; Vulnerability (computing); Computer security; Actuator; Industrial control system; Embedded system; Distributed computing; Control (management); Computer network; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.03537723442859617,"score_gpt":0.28448990867723556,"score_spread":0.2491126742486394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152504018","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009855155,0.9934314,0.0016554157,0.000009233227,0.0019964785,0.0022559771,0.00011409389,0.00014747765,0.00029140743],"genre_scores_gemma":[0.0008624886,0.9970631,0.00004183356,0.000018244968,0.0006989776,0.00051620905,0.00013948107,0.00009436109,0.000565332],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979195,0.00018758766,0.00080318,0.0005071363,0.00025241193,0.00033020534],"domain_scores_gemma":[0.9988564,0.00024085585,0.00021679385,0.00038612905,0.00012350862,0.00017627836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002879799,0.00052445993,0.0017820011,0.00010406004,0.00010060681,0.00018146915,0.00014326935,0.00036481206,0.0000022872207],"category_scores_gemma":[0.00003677459,0.0004669926,0.0002627985,0.00027509296,0.00007803905,0.000071554074,0.000020441128,0.0003162533,0.00002717743],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003552651,0.000053981523,0.0000014833373,0.809818,0.00031426674,0.000031769083,0.000052700118,0.002149375,0.000031778425,0.00042986916,0.011009954,0.17610323],"study_design_scores_gemma":[0.00021555916,0.00006571136,0.0000030707101,0.08550389,0.00071441534,0.000116115414,0.000008009284,0.02182818,0.000004024499,0.000001722296,0.8910732,0.00046608213],"about_ca_topic_score_codex":0.000015806672,"about_ca_topic_score_gemma":0.000034643694,"teacher_disagreement_score":0.88006324,"about_ca_system_score_codex":0.00009516058,"about_ca_system_score_gemma":0.000067752924,"threshold_uncertainty_score":0.99977815},"labels":[],"label_agreement":null},{"id":"W3153388338","doi":"10.1049/cps2.12011","title":"Game theoretic vulnerability management for secondary frequency control of islanded microgrids against false data injection attacks","year":2021,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Vulnerability (computing); Computer science; Controllability; Vulnerability index; Computer security; Wireless; Game theory; Control (management); Telecommunications; Mathematics; Artificial intelligence","score_opus":0.01003273283098866,"score_gpt":0.25197400859906866,"score_spread":0.24194127576808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153388338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.352046,0.0023598822,0.6283797,0.00009374417,0.00074696634,0.0034458165,0.0024912327,0.0004311982,0.010005467],"genre_scores_gemma":[0.99727386,0.00007602976,0.00023186019,0.000037574253,0.0004540818,0.0012542416,0.0005497812,0.000037669794,0.00008487653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99827504,0.00018873106,0.00049241376,0.0005323642,0.00020286835,0.0003085636],"domain_scores_gemma":[0.99765867,0.00054737774,0.0001051211,0.0014331435,0.00015567713,0.000100030666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058971235,0.00023236967,0.00042570432,0.000055118348,0.00014867082,0.00005624409,0.0005582363,0.00011462555,0.000013898778],"category_scores_gemma":[0.00003522314,0.0002184383,0.00015242734,0.0003570398,0.00022477409,0.00016555589,0.00009962043,0.00025271406,0.00003111659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008659183,0.0011528025,0.00037316815,0.0034099298,0.0008571785,0.000006563944,0.001162326,0.021652414,0.08920591,0.8438786,0.001273852,0.036940638],"study_design_scores_gemma":[0.009325775,0.00046717847,0.006357574,0.0010658333,0.0018126837,0.00011475225,0.0053834184,0.29415226,0.04460943,0.52310216,0.11023103,0.0033779223],"about_ca_topic_score_codex":0.000012393504,"about_ca_topic_score_gemma":0.000014186018,"teacher_disagreement_score":0.64522785,"about_ca_system_score_codex":0.000077347686,"about_ca_system_score_gemma":0.00004433177,"threshold_uncertainty_score":0.89076555},"labels":[],"label_agreement":null},{"id":"W3153864442","doi":"10.1109/tac.2021.3071948","title":"Worst-Case Stealthy Attacks on Stochastic Event-Based State Estimation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Covariance; Gaussian; Event (particle physics); Computer science; State (computer science); Stochastic process; Estimation; Control theory (sociology); Real-time computing; Mathematics; Algorithm; Engineering; Statistics; Artificial intelligence; Control (management)","score_opus":0.008470540923956974,"score_gpt":0.23860012608853567,"score_spread":0.2301295851645787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153864442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12887569,0.000055782635,0.8686229,0.00029426234,0.0010907081,0.00037065506,0.00007345659,0.0005703962,0.000046158864],"genre_scores_gemma":[0.99867004,0.000004365091,0.00072337093,0.0003160901,0.000026162717,0.00013030825,0.0000046205964,0.00003636954,0.000088682165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986706,0.00008765275,0.0003838104,0.0002433063,0.00029291474,0.00032170874],"domain_scores_gemma":[0.9988551,0.00051696866,0.0000480046,0.0003674794,0.000057027042,0.00015540318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015381233,0.00023130635,0.00027392674,0.0001721723,0.00021397058,0.00006360992,0.00008954769,0.00008991498,0.00023883261],"category_scores_gemma":[0.000022383354,0.00023276427,0.00013827767,0.00030706378,0.000039129605,0.00011007058,3.5629682e-7,0.00027940038,0.0002575115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029705243,0.0001713449,4.1119173e-7,0.00011452281,0.00006185953,0.00024011517,0.0002473299,0.96061057,0.00044688926,0.000013152147,0.00007700575,0.03798707],"study_design_scores_gemma":[0.0017578696,0.00012647927,0.00004778149,0.00017628763,0.000073563926,0.00013568341,0.00006722793,0.9931294,0.0041643153,0.000067522225,0.000029402347,0.00022449438],"about_ca_topic_score_codex":0.0000103134025,"about_ca_topic_score_gemma":0.00013653508,"teacher_disagreement_score":0.8697943,"about_ca_system_score_codex":0.0001476708,"about_ca_system_score_gemma":0.00010492199,"threshold_uncertainty_score":0.94918513},"labels":[],"label_agreement":null},{"id":"W3155199389","doi":"10.3390/en14092385","title":"Assessing Insider Attacks and Privacy Leakage in Managed IoT Systems for Residential Prosumers","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer security; Computer science; Smart grid; Renewable energy; Context (archaeology); Electricity; Demand response; Insider; Internet of Things; Risk analysis (engineering); Environmental economics; Business; Engineering","score_opus":0.018215778816956588,"score_gpt":0.2609693364626158,"score_spread":0.2427535576456592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155199389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992562,0.0052167526,0.0006653687,0.00007091488,0.00073296024,0.00011334168,0.0000013846396,0.00009841523,0.00053884287],"genre_scores_gemma":[0.9986456,0.00022547446,0.000693605,0.000015585401,0.0001282538,0.000032609285,0.000004675362,0.000018772265,0.00023542931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935186,0.00003179245,0.00016017289,0.00016711406,0.00009612233,0.00019292314],"domain_scores_gemma":[0.99970883,0.000089489855,0.000016822278,0.00013368072,0.000021166654,0.00003002045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011619305,0.00009648378,0.00014633674,0.00007235168,0.00007403122,0.00025211534,0.00006682214,0.0000676339,0.000003612508],"category_scores_gemma":[0.000072000534,0.000097693825,0.000026262307,0.00013249519,0.0000362226,0.00020470872,0.00004892996,0.00010366755,0.0000013885283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001835461,0.000039485778,0.008668899,0.0018066383,0.00008466035,0.00026185327,0.004403325,0.9287265,0.046052564,0.0032182091,0.003782816,0.0029366848],"study_design_scores_gemma":[0.004601434,0.000088272696,0.24938042,0.0019456892,0.00012361849,0.00020344146,0.026234148,0.42583704,0.2162092,0.0012883096,0.071966805,0.002121596],"about_ca_topic_score_codex":0.000048383085,"about_ca_topic_score_gemma":0.00012174787,"teacher_disagreement_score":0.50288945,"about_ca_system_score_codex":0.000027867445,"about_ca_system_score_gemma":0.000022008944,"threshold_uncertainty_score":0.39838386},"labels":[],"label_agreement":null},{"id":"W3155937655","doi":"","title":"Ensemble Feature Learning-Based Event Classification for Cyber-Physical Security of the Smart Grid","year":2019,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Smart grid; Ensemble learning; Autoencoder; Cyber-physical system; Machine learning; Artificial intelligence; Random forest; Intrusion detection system; Feature extraction; Data mining; Deep learning; Engineering","score_opus":0.014346414357075527,"score_gpt":0.2567341144965187,"score_spread":0.24238770013944314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155937655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720281,0.00021495685,0.00006730198,0.00016650447,0.0026432653,0.0011550639,0.000036492343,0.00011626324,0.023572065],"genre_scores_gemma":[0.9815194,0.0000776702,0.00000391816,0.000002003894,0.00043230993,0.000012662657,0.00017020205,0.00005142711,0.01773041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976689,0.00035352705,0.00020527505,0.0004915515,0.0007401335,0.00054061814],"domain_scores_gemma":[0.998295,0.00044171882,0.00015783381,0.000648599,0.00032120757,0.00013564882],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033187485,0.00028220937,0.00039880557,0.0004454634,0.0005079595,0.000056564753,0.0008233734,0.00045075896,0.000006543935],"category_scores_gemma":[0.00010282166,0.00026142746,0.0004464526,0.00085726386,0.00019231564,0.00013726496,0.000062501196,0.0017445248,0.000013390971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008541726,0.0028524953,0.14305139,0.023400018,0.0029167286,0.0004062082,0.027091261,0.10833057,0.57228476,0.023768378,0.08065889,0.0066975537],"study_design_scores_gemma":[0.0018587529,0.0010228388,0.16108745,0.0008806925,0.00028919673,0.000009523139,0.005671851,0.14820597,0.49101397,0.0004995654,0.18832679,0.0011334099],"about_ca_topic_score_codex":0.0005010531,"about_ca_topic_score_gemma":0.0028133215,"teacher_disagreement_score":0.10766789,"about_ca_system_score_codex":0.0005324769,"about_ca_system_score_gemma":0.00066481146,"threshold_uncertainty_score":0.9999838},"labels":[],"label_agreement":null},{"id":"W3157713123","doi":"10.3390/en14092568","title":"A Case Study of an Industrial Power Plant under Cyberattack: Simulation and Analysis","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"SCADA; Operability; Reliability engineering; Electric power system; Reliability (semiconductor); Redundancy (engineering); Critical infrastructure; Computer security; Process (computing); Computer science; Resilience (materials science); Risk analysis (engineering); Engineering; Power (physics); Electrical engineering","score_opus":0.031872592553904296,"score_gpt":0.26669698838359535,"score_spread":0.23482439582969106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157713123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946374,0.00012234002,0.00013059462,0.0000032890732,0.00013030539,0.00003136828,0.0000073502333,0.0000345546,0.000076431745],"genre_scores_gemma":[0.9998766,0.0000057300963,0.000042958058,0.0000045148786,0.000039087827,0.000001651047,0.000009908571,0.000004619597,0.000014909888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960256,0.000034977904,0.00011137347,0.00009830834,0.00008568089,0.000067122106],"domain_scores_gemma":[0.9997483,0.00006463533,0.000013191346,0.00012270924,0.000021937743,0.00002923661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046849185,0.000058701196,0.0001241754,0.0000793816,0.000039037797,0.00002379753,0.000025440977,0.000046741883,0.0000249562],"category_scores_gemma":[0.000012052048,0.0000538719,0.000020765568,0.00029486624,0.000015386535,0.00009241552,0.000018373516,0.000059869664,2.5996147e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000451021,0.000058578244,0.003443794,0.0000027770045,0.0001590478,0.0004454819,0.0029636053,0.99244046,0.0002694618,0.00004638035,0.000011158507,0.00015477177],"study_design_scores_gemma":[0.0014753013,0.0002408157,0.023651456,0.0000133071035,0.0005157395,0.0002955721,0.04619255,0.9200062,0.0069104163,0.000038846356,0.00031113627,0.00034862425],"about_ca_topic_score_codex":0.00012117766,"about_ca_topic_score_gemma":0.0009411792,"teacher_disagreement_score":0.072434194,"about_ca_system_score_codex":0.000006912813,"about_ca_system_score_gemma":0.0000091461625,"threshold_uncertainty_score":0.21968323},"labels":[],"label_agreement":null},{"id":"W3159066419","doi":"10.1109/tii.2021.3054795","title":"Guest Editorial: Softwarized Networking for Next Generation Industrial Cyber-Physical Systems","year":2021,"lang":"en","type":"editorial","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Cyber-physical system; Computer science; Implementation; Special section; Software-defined networking; Focus (optics); Next-generation network; Distributed computing; Data science; Computer network; Software engineering; Engineering; World Wide Web; The Internet; Operating system","score_opus":0.06469584144710346,"score_gpt":0.2595306203035675,"score_spread":0.19483477885646405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159066419","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034816543,0.00008304091,0.06325227,0.00001127899,0.9331766,0.0014264183,0.001061978,0.0005364083,0.00010387002],"genre_scores_gemma":[0.0017025154,0.00032057724,0.000117045645,0.0000102873155,0.99584097,0.0005162511,0.0011603273,0.00014758513,0.00018446756],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99562585,0.00013127892,0.0016176364,0.00035550338,0.00147432,0.000795391],"domain_scores_gemma":[0.9962249,0.0019699105,0.00040269512,0.0006267303,0.0004894118,0.00028634732],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0006744109,0.0008058773,0.0011808191,0.0003367659,0.0005555318,0.0009987688,0.00053043076,0.004622472,0.000008850722],"category_scores_gemma":[0.000252433,0.00084117707,0.0005087063,0.0006298792,0.00010656434,0.0008188732,0.000006173016,0.004362221,0.00004489782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009016478,0.00007296769,6.0928116e-8,0.00014521717,0.00023167784,0.0000016417154,0.0004423921,0.23975176,0.0000544883,0.000002899041,0.75766456,0.0015421789],"study_design_scores_gemma":[0.0029210704,0.00023345917,3.8885943e-9,0.0005088489,0.0003529084,0.000002536695,0.00022443,0.12270521,0.0012726405,0.0000035744574,0.8710161,0.00075925357],"about_ca_topic_score_codex":0.00008217265,"about_ca_topic_score_gemma":0.00003472778,"teacher_disagreement_score":0.11704654,"about_ca_system_score_codex":0.0006099189,"about_ca_system_score_gemma":0.00089103036,"threshold_uncertainty_score":0.9994039},"labels":[],"label_agreement":null},{"id":"W3160398797","doi":"10.1109/tsg.2021.3080693","title":"False Data Injection Attacks Against Synchronization Systems in Microgrids","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Blackout; Synchronizing; Synchronization (alternating current); Resilience (materials science); Computer science; Tripping; Electric power system; Microgrid; Reliability engineering; Computer security; Real-time computing; Engineering; Computer network; Power (physics); Circuit breaker; Channel (broadcasting); Telecommunications; Electrical engineering","score_opus":0.019477268992318622,"score_gpt":0.2386915321506734,"score_spread":0.2192142631583548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160398797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42218608,0.002086221,0.5566112,0.00010650016,0.016848216,0.00040100544,0.00038214127,0.000601322,0.0007773654],"genre_scores_gemma":[0.9979654,0.0011574798,0.00013813686,0.00006120421,0.00033382716,0.0000362461,0.0001574911,0.000039514198,0.00011068975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864167,0.0000802981,0.00035367344,0.0003993499,0.00022456425,0.00030044094],"domain_scores_gemma":[0.99906033,0.00007116548,0.000027054593,0.0006916383,0.00006439822,0.00008538227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018093946,0.00019844888,0.00021594831,0.0002094514,0.00014315268,0.00009145116,0.00024837692,0.00017314928,0.000032235923],"category_scores_gemma":[0.000008733702,0.00022104576,0.00005421592,0.0007521234,0.00004279758,0.00041918375,0.0000038355015,0.00042061083,0.00011753382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012428666,0.00016032303,0.00028490287,0.00014044659,0.00004411463,0.000050077244,0.00023169241,0.9823728,0.0060400846,0.000005759267,0.002074925,0.008582452],"study_design_scores_gemma":[0.0011676975,0.00008781011,0.0016556481,0.00044537196,0.00006353148,0.00020367542,0.0007094174,0.91208136,0.044406313,0.0000065414247,0.03841532,0.0007573012],"about_ca_topic_score_codex":0.00010075146,"about_ca_topic_score_gemma":0.0010116132,"teacher_disagreement_score":0.5757793,"about_ca_system_score_codex":0.00017895902,"about_ca_system_score_gemma":0.000071462346,"threshold_uncertainty_score":0.9013985},"labels":[],"label_agreement":null},{"id":"W3160969348","doi":"10.1109/jsyst.2021.3073816","title":"Event-Triggered Adaptive Optimal Fast Terminal Sliding Mode Control Under Denial-of-Service Attacks","year":2021,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Denial-of-service attack; Robustness (evolution); Control theory (sociology); Computer science; Terminal sliding mode; Bandwidth (computing); Scheduling (production processes); Real-time computing; Engineering; Sliding mode control; Computer network; Control (management); The Internet; Nonlinear system","score_opus":0.015604455996695568,"score_gpt":0.24844795245427492,"score_spread":0.23284349645757935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160969348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77308464,0.0031399638,0.21712925,0.00009376312,0.0057930625,0.0001738999,0.00004361835,0.00007159976,0.0004702309],"genre_scores_gemma":[0.99813855,0.00007325584,0.00031864824,0.000045678622,0.0012771492,0.0000081168255,0.0000016302041,0.000033746845,0.0001032404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981803,0.00016462184,0.0006173616,0.00018602167,0.00043813043,0.00041353665],"domain_scores_gemma":[0.99897474,0.00011853242,0.00016695536,0.00020190039,0.00032882893,0.00020905407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030607317,0.00022065561,0.00044501177,0.00011865868,0.0001758503,0.000119393204,0.000257011,0.00016101208,0.00003252415],"category_scores_gemma":[0.000020222746,0.00020537894,0.00016720005,0.00026800175,0.000027008902,0.00027907564,0.000019811037,0.0005273516,0.000030436431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004402623,0.000031871597,0.0002154334,0.0001352944,0.00018638224,0.00033961597,0.00074839435,0.95772755,0.039610684,0.00009693043,0.0007228125,0.00014102997],"study_design_scores_gemma":[0.0020525134,0.000094476294,0.0004875534,0.00095661206,0.000121132616,0.0051235566,0.0024500715,0.9695846,0.018002234,0.00006307617,0.0005983627,0.00046584386],"about_ca_topic_score_codex":0.000036166042,"about_ca_topic_score_gemma":0.00004891752,"teacher_disagreement_score":0.22505392,"about_ca_system_score_codex":0.00014514194,"about_ca_system_score_gemma":0.00017110187,"threshold_uncertainty_score":0.837511},"labels":[],"label_agreement":null},{"id":"W3162075735","doi":"10.1109/lsp.2021.3078696","title":"Elimination of Undetectable Attacks on Natural Gas Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nova Scotia Department of Energy","keywords":"SCADA; Countermeasure; Computer science; Computer security; Natural gas; Operator (biology); Network topology; Electric power system; Cyber-attack; Pipeline (software); Smart grid; Vulnerability (computing); Power (physics); Computer network; Engineering; Electrical engineering","score_opus":0.007100903156426877,"score_gpt":0.20588332959926917,"score_spread":0.19878242644284227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162075735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9353304,0.0013452224,0.06056505,0.0006625016,0.0009889081,0.00006874693,0.0000016876631,0.00017231859,0.00086516596],"genre_scores_gemma":[0.9988785,0.00002002597,0.0002542181,0.0005243265,0.0002611728,0.000003588459,0.0000052761807,0.000018798279,0.00003414416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992294,0.000021900341,0.00016321678,0.00015768933,0.000205324,0.00022251628],"domain_scores_gemma":[0.99972063,0.00005710699,0.000037397567,0.00009485814,0.000054244952,0.00003576594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000791109,0.00011645859,0.00013006282,0.000058838166,0.00007791352,0.000043929875,0.000103735685,0.00006252496,0.000023191402],"category_scores_gemma":[0.000009361048,0.000115166404,0.000047798505,0.0002731763,0.000053147087,0.00015048946,0.000008612808,0.00026718355,0.000006042347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000120447185,0.0000167144,0.000040409628,0.00015380606,0.000013404022,0.000025315201,0.00020676365,0.6627818,0.31480166,0.000009416499,0.0022012158,0.019737508],"study_design_scores_gemma":[0.00021596432,0.000026245078,0.0005036271,0.00028829358,0.000015713125,0.000017357332,0.000069358866,0.5929536,0.40525672,0.000030994677,0.0004132337,0.00020887698],"about_ca_topic_score_codex":0.0000019855486,"about_ca_topic_score_gemma":0.0000036846845,"teacher_disagreement_score":0.09045506,"about_ca_system_score_codex":0.000043997607,"about_ca_system_score_gemma":0.000021374304,"threshold_uncertainty_score":0.46963495},"labels":[],"label_agreement":null},{"id":"W3165969682","doi":"10.1109/tii.2021.3085543","title":"Design, Analysis and Implementation of a Security Assessment/Enhancement Platform for Cyber-Physical Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Cyber-physical system; Modular design; Computer science; Control system security; Physical security; Computer security; Hardware security module; Industrial control system; Security management; Embedded system; Software security assurance; Systems engineering; Security service; Engineering; Information security; Control (management); Cryptography; Operating system","score_opus":0.03552103562942025,"score_gpt":0.2980053647533916,"score_spread":0.26248432912397135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165969682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33626303,0.000008620071,0.66275185,0.000007915478,0.00043617352,0.00033733697,0.00010237639,0.000028663264,0.00006400944],"genre_scores_gemma":[0.9979822,0.000060693532,0.0017501884,0.000008015887,0.0000601039,0.000097938435,0.000024467456,0.0000074650256,0.000008906466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904823,0.000019954572,0.0004768633,0.00007365923,0.00021247615,0.00016881972],"domain_scores_gemma":[0.99943024,0.00018943349,0.00008736648,0.00014280672,0.00008727673,0.00006289351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018714185,0.0001249105,0.00027748273,0.00016557987,0.00010298721,0.000056763918,0.000061042236,0.00010859683,0.000021928077],"category_scores_gemma":[0.0000028211145,0.00012303698,0.00010360601,0.0004988479,0.000030289451,0.0002858582,0.0000012365635,0.00019751962,0.0000012731069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057630605,0.0002118899,0.00006958947,0.0004275944,0.001721168,0.000001160047,0.010168869,0.96798325,0.0024461953,0.0003473536,0.00034342895,0.016221887],"study_design_scores_gemma":[0.001358462,0.00022158342,0.000028855302,0.000041179894,0.0006259393,0.0000033260208,0.0064939577,0.7391814,0.25154915,0.000052013336,0.00025202864,0.00019211735],"about_ca_topic_score_codex":0.000033221033,"about_ca_topic_score_gemma":0.000036462978,"teacher_disagreement_score":0.6617192,"about_ca_system_score_codex":0.00008214319,"about_ca_system_score_gemma":0.0000842949,"threshold_uncertainty_score":0.5017302},"labels":[],"label_agreement":null},{"id":"W3167034277","doi":"10.1109/jsyst.2021.3077558","title":"Event Tree Reliability Analysis of Safety-Critical Systems Using Theorem Proving","year":2021,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fault tree analysis; Computer science; Reliability (semiconductor); Probabilistic logic; Schematic; Event tree; Notation; Automated theorem proving; Theoretical computer science; Formal methods; Event (particle physics); Formal verification; Algorithm; Reliability engineering; Programming language; Power (physics); Mathematics; Artificial intelligence; Arithmetic; Engineering","score_opus":0.01266178429824017,"score_gpt":0.2573387668669359,"score_spread":0.24467698256869574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167034277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82411987,0.005955618,0.16116367,0.00003161165,0.007589436,0.00016530839,0.000034903976,0.00007241014,0.00086719077],"genre_scores_gemma":[0.9989984,0.000086539876,0.00021829865,0.0000032639687,0.0006249106,0.0000032781875,0.0000019628344,0.000021436275,0.000041899533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974835,0.0003945674,0.0009921421,0.00021598942,0.0005497922,0.00036403487],"domain_scores_gemma":[0.99861294,0.000307914,0.00013699006,0.00037466316,0.0003753198,0.00019214427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013865946,0.00017975904,0.0006529979,0.0002616581,0.0001785836,0.00013290612,0.00021151066,0.00014052622,0.00002273082],"category_scores_gemma":[0.00027696358,0.00015460457,0.00034052494,0.00086586154,0.00008911609,0.00020538822,0.000024239062,0.0004247931,0.0000037741017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001074789,0.000042878994,0.0025714145,0.0005051448,0.0005028327,0.000111196074,0.00043861422,0.98315305,0.011959541,0.00052859855,0.00007469238,0.00010126671],"study_design_scores_gemma":[0.00022498281,0.000027612092,0.0017935849,0.00065521506,0.00067832775,0.0009304384,0.0009886284,0.9912582,0.0025190506,0.00004334419,0.000636197,0.00024443067],"about_ca_topic_score_codex":0.000072350755,"about_ca_topic_score_gemma":0.000022117467,"teacher_disagreement_score":0.17487855,"about_ca_system_score_codex":0.00027500157,"about_ca_system_score_gemma":0.00013729633,"threshold_uncertainty_score":0.63045913},"labels":[],"label_agreement":null},{"id":"W3173174802","doi":"10.1016/j.future.2021.06.051","title":"CShield: Enabling code privacy for Cyber–Physical systems","year":2021,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Cyber-physical system; Computer security; Code (set theory); Internet privacy; Programming language; Operating system","score_opus":0.017611660715700216,"score_gpt":0.22744822419842467,"score_spread":0.20983656348272445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173174802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06643558,0.0064736037,0.7846639,0.00018453422,0.14114748,0.00051281415,0.000045680168,0.00038177267,0.00015462514],"genre_scores_gemma":[0.5705786,0.00013099062,0.004822127,0.0001346119,0.42307997,0.0002476933,0.00034471715,0.00007233264,0.0005889973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882096,0.00006808899,0.00030990902,0.00031440987,0.0002213236,0.00026527836],"domain_scores_gemma":[0.99927384,0.00006793252,0.00004621594,0.00033899018,0.00017889147,0.00009413795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013571254,0.00019161713,0.00028817818,0.000058544207,0.000173629,0.0003607078,0.00017064299,0.00014425673,0.0000026081714],"category_scores_gemma":[0.000008382647,0.00017977582,0.00010053527,0.00019181985,0.000010889868,0.00016794876,0.000037728405,0.00014663991,0.000018856284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028016,0.000036990055,0.000030453557,0.00042771694,0.00007923904,0.000016431808,0.0015953028,0.6896745,0.010628186,0.0073374794,0.2893349,0.0008360281],"study_design_scores_gemma":[0.00018446852,0.000019142857,0.000013886301,0.000043128104,0.000009355888,0.00004208766,0.000100060366,0.60339236,0.0025663336,0.0000014587986,0.39347202,0.00015569599],"about_ca_topic_score_codex":0.0000059514578,"about_ca_topic_score_gemma":0.000012439652,"teacher_disagreement_score":0.7798418,"about_ca_system_score_codex":0.000058121725,"about_ca_system_score_gemma":0.00004298701,"threshold_uncertainty_score":0.7331045},"labels":[],"label_agreement":null},{"id":"W3174085705","doi":"10.1109/tsg.2021.3091535","title":"A Cyber Attack Mitigation Scheme for Series Compensated DFIG-Based Wind Parks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Hong Kong Polytechnic University; Lakehead University","keywords":"Wind power; Scheme (mathematics); Doubly fed electric machine; Series (stratigraphy); Computer science; Control theory (sociology); Engineering; AC power; Electrical engineering; Voltage; Control (management); Mathematics","score_opus":0.017914407989736498,"score_gpt":0.23648984869238268,"score_spread":0.21857544070264617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174085705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6296416,0.00016574831,0.3614531,0.00085496024,0.005582517,0.0005373909,0.00038447918,0.0006428937,0.000737301],"genre_scores_gemma":[0.9953421,0.0000468715,0.0034816463,0.00024979716,0.00023234246,0.000095595846,0.00009518264,0.000049020786,0.00040747545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988946,0.000037119786,0.00026845987,0.00028267287,0.0001992467,0.000317954],"domain_scores_gemma":[0.9992898,0.00013880194,0.000025498022,0.00029575033,0.00013463141,0.00011548359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089892106,0.00021611068,0.00022204591,0.00009564128,0.0002609855,0.000063228144,0.00010537047,0.00015967814,0.00022554814],"category_scores_gemma":[0.000008206435,0.00023297977,0.00017342034,0.00034587467,0.00008243789,0.00022847956,6.973993e-7,0.00027663642,0.000089526555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017471907,0.0003050905,0.00016804974,0.00032962204,0.00020470853,0.00003551314,0.00048441964,0.9177926,0.06935124,0.000068481044,0.009688317,0.0013972386],"study_design_scores_gemma":[0.0014724493,0.00012838421,0.0009245455,0.00015213114,0.00007248937,0.000038859453,0.00016185828,0.1557323,0.77173615,0.00003319531,0.06902632,0.0005213431],"about_ca_topic_score_codex":0.00000793661,"about_ca_topic_score_gemma":0.00023592325,"teacher_disagreement_score":0.7620603,"about_ca_system_score_codex":0.0000687751,"about_ca_system_score_gemma":0.00007688241,"threshold_uncertainty_score":0.95006394},"labels":[],"label_agreement":null},{"id":"W3181079314","doi":"10.1109/icps49255.2021.9468121","title":"Recommending Location for Placing Data Collector in the OPC Classic","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Operating system; Distributed Component Object Model; Interoperability; Interfacing; OPC Data Access; Server-side; Data exchange; SCADA; Embedded system; Server; Database; Common Object Request Broker Architecture; Software; Engineering; Computer hardware","score_opus":0.055548799134556286,"score_gpt":0.27736726156163993,"score_spread":0.22181846242708364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181079314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58914876,0.0033288638,0.33901078,0.01092643,0.0053899405,0.0015855487,0.000106976026,0.0005957812,0.049906883],"genre_scores_gemma":[0.99616003,0.000063994885,0.003147641,0.00020881396,0.00013643387,0.000022634491,0.00006152361,0.000007745847,0.0001912011],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996177,0.000018548088,0.00009229439,0.00010631426,0.000053654494,0.00011152223],"domain_scores_gemma":[0.99947536,0.00024188124,0.0000061993765,0.00025075243,0.000013855215,0.000011950558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021158539,0.000043279142,0.00005270494,0.00002561204,0.000058603335,0.000040546198,0.00019822581,0.000028480792,0.000030490442],"category_scores_gemma":[0.000104125975,0.000032799882,0.000009378525,0.00028117656,0.0000067603273,0.000111711815,0.000032454627,0.00007431872,0.000005627088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004235574,0.00023478924,0.0055496837,0.00109001,0.000105608524,0.000048606395,0.011630122,0.16033356,0.018082438,0.015826546,0.7560801,0.030976197],"study_design_scores_gemma":[0.00039807017,0.000012820457,0.0022323031,0.00007220572,0.000008714069,0.000016807184,0.0027318646,0.8878833,0.006545411,0.00018825826,0.099753566,0.00015665549],"about_ca_topic_score_codex":0.000008495997,"about_ca_topic_score_gemma":0.0006294323,"teacher_disagreement_score":0.7275498,"about_ca_system_score_codex":0.000028277325,"about_ca_system_score_gemma":0.000023287812,"threshold_uncertainty_score":0.13375403},"labels":[],"label_agreement":null},{"id":"W3181784683","doi":"10.1109/icps49255.2021.9468197","title":"Optimal Linear FDI Attacks with Side Information: A Comparative Study","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Computer science; Covariance; Detector; Convex optimization; Scalar (mathematics); Anomaly (physics); Anomaly detection; Mathematical optimization; State (computer science); Regular polygon; Algorithm; Data mining; Mathematics; Statistics","score_opus":0.014696196959573266,"score_gpt":0.24792372590974268,"score_spread":0.2332275289501694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181784683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95709425,0.00005115924,0.009641644,0.000044394576,0.00012612563,0.00013806477,0.000002572504,0.00018156931,0.03272024],"genre_scores_gemma":[0.99633557,0.000005941972,0.0033222213,0.000054746397,0.000053527354,0.000010739116,0.000007894998,0.00000392112,0.00020544099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995427,0.000012283314,0.000121505145,0.000066503075,0.00013804247,0.00011894886],"domain_scores_gemma":[0.9997155,0.000027712396,0.000009637474,0.0001294872,0.000070706956,0.0000469635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036578334,0.00008282079,0.00011350693,0.000025462377,0.000052480566,0.00003970978,0.00006426183,0.000024329493,0.00012893355],"category_scores_gemma":[0.0000050684844,0.00006234431,0.000016426788,0.00019045066,0.000022366674,0.00033498794,0.000024274983,0.00011644969,0.00018000975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024088178,0.00012085731,0.0037647788,0.00003541118,0.000108334425,0.00006418997,0.018433254,0.9738391,0.00008271822,0.00031539466,0.0030082192,0.0002036343],"study_design_scores_gemma":[0.0031994958,0.00078992214,0.041285496,0.00007568277,0.00006677619,0.00019130191,0.090592206,0.7519667,0.034772485,0.000011347838,0.07607998,0.00096857786],"about_ca_topic_score_codex":0.000007311748,"about_ca_topic_score_gemma":0.00011558832,"teacher_disagreement_score":0.22187239,"about_ca_system_score_codex":0.000013323904,"about_ca_system_score_gemma":0.00002620664,"threshold_uncertainty_score":0.2542327},"labels":[],"label_agreement":null},{"id":"W3182055194","doi":"10.1109/icps49255.2021.9468223","title":"Dynamic Group Decision Support Models for Locating Faults in Power Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Group decision-making; Electric power system; Process (computing); Fault (geology); Set (abstract data type); Scheme (mathematics); Group (periodic table); Power (physics); Selection (genetic algorithm); Data mining; Distributed computing; Reliability engineering; Artificial intelligence; Engineering; Mathematics","score_opus":0.008089962922694247,"score_gpt":0.2288746421347798,"score_spread":0.22078467921208556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182055194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27585664,0.0005913594,0.7175093,0.000021723985,0.0010055824,0.00019921838,0.0000073161746,0.00013092787,0.004677887],"genre_scores_gemma":[0.9946324,0.000047418274,0.004991574,0.000022895003,0.000012596537,0.000028328443,0.000015575413,0.000016576938,0.00023259681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927235,0.00000821294,0.00022051204,0.00016710615,0.000117044096,0.0002147787],"domain_scores_gemma":[0.99964285,0.000105295025,0.000010725714,0.00016055627,0.000036489888,0.000044083383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000142463,0.000088053726,0.00013325058,0.000054237364,0.000030324703,0.000025906413,0.000090531226,0.00007803158,0.000024488207],"category_scores_gemma":[0.000031690433,0.00008151133,0.000038807237,0.00016093627,0.000010926454,0.00015732225,0.000025559802,0.000083985826,0.000015457874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070911583,0.000028275766,0.00012559287,0.00013295782,0.000007863839,0.000027322409,0.00045635374,0.99154097,0.0018918515,0.004010223,0.00053401437,0.0012374696],"study_design_scores_gemma":[0.00026670718,0.0000162493,0.00026802957,0.000086089836,0.0000019879535,0.000018899029,0.00059237436,0.9969616,0.00033633914,0.0006421841,0.0006908493,0.00011870217],"about_ca_topic_score_codex":0.000019488663,"about_ca_topic_score_gemma":0.00032190155,"teacher_disagreement_score":0.7187758,"about_ca_system_score_codex":0.000056457833,"about_ca_system_score_gemma":0.000017242075,"threshold_uncertainty_score":0.33239356},"labels":[],"label_agreement":null},{"id":"W3182317422","doi":"10.1049/cps2.12020","title":"Covert channels in stochastic cyber‐physical systems","year":2021,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Covert channel; Exploit; Acknowledgement; Channel (broadcasting); Cyber-physical system; Computer security; Decoding methods; Computer network; Covert; Algorithm","score_opus":0.006971608512411442,"score_gpt":0.22587691105187874,"score_spread":0.2189053025394673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182317422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8316459,0.0030228433,0.14748032,0.00015696975,0.0025484625,0.0027230035,0.00026012142,0.0010588068,0.011103555],"genre_scores_gemma":[0.99509853,0.000023087245,0.000012652776,0.000023434533,0.0020506417,0.002043267,0.00006692033,0.000075225274,0.00060624245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976077,0.00021253091,0.00049196347,0.0006166383,0.00044721144,0.0006239277],"domain_scores_gemma":[0.99791646,0.0007449835,0.00008175445,0.0008710983,0.0001276485,0.00025804478],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028334698,0.0003888908,0.0006795773,0.000109431196,0.00019107,0.00017553559,0.00046101675,0.00017602813,0.000010045228],"category_scores_gemma":[0.00004977097,0.00037925763,0.00020439002,0.000977983,0.00016652877,0.00020970812,0.000100958016,0.00053120294,0.0007293056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013302795,0.0005937336,0.00002917316,0.00028138736,0.00011001955,0.000022191534,0.0017591624,0.5446287,0.018412897,0.4326993,0.0008369824,0.00061319064],"study_design_scores_gemma":[0.0017923742,0.00014417792,0.00097029074,0.0010574141,0.0002615275,0.0002269168,0.004356421,0.89194405,0.0068479255,0.0389438,0.05091529,0.0025398382],"about_ca_topic_score_codex":0.00009697856,"about_ca_topic_score_gemma":0.000014817291,"teacher_disagreement_score":0.3937555,"about_ca_system_score_codex":0.00020650704,"about_ca_system_score_gemma":0.00007320862,"threshold_uncertainty_score":0.99986595},"labels":[],"label_agreement":null},{"id":"W3183422383","doi":"10.23919/acc50511.2021.9483078","title":"Covert Channels in Cyber-Physical Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reachability; Computer science; Channel (broadcasting); Covert channel; Controller (irrigation); Covert; Control channel; Computer network; Distributed computing; Theoretical computer science","score_opus":0.0068727894251605585,"score_gpt":0.20198795076054787,"score_spread":0.1951151613353873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183422383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96527505,0.0005162207,0.0009126267,0.00005511689,0.0013304004,0.000050579296,0.0000016809231,0.00013220223,0.031726148],"genre_scores_gemma":[0.99894595,0.00003980097,0.000017846112,0.000022483468,0.00020282787,0.0000066245234,0.0000020968141,0.0000067015794,0.00075567147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961394,0.000010801881,0.00007161605,0.000086571345,0.00008082332,0.00013624872],"domain_scores_gemma":[0.9998203,0.000031067248,0.0000027774897,0.000100038684,0.000011151583,0.000034647193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028633844,0.00005498588,0.00009789413,0.000022257656,0.0000116035135,0.000024437439,0.00005167938,0.00003449786,0.000028144903],"category_scores_gemma":[0.000009662028,0.00004969188,0.000023322596,0.00015805624,0.000009456415,0.000060110837,0.00001664059,0.00008615813,0.00011699726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042814536,0.00017204879,0.0021551566,0.00027055087,0.000038837115,0.00041788365,0.0024908842,0.9196955,0.025485687,0.035298645,0.01313602,0.00083452964],"study_design_scores_gemma":[0.0003485582,0.000016524533,0.002018268,0.0000870246,0.0000042520105,0.000046344932,0.0006333965,0.9180151,0.047983576,0.00028223416,0.030266853,0.0002978585],"about_ca_topic_score_codex":0.000033665743,"about_ca_topic_score_gemma":0.000029089186,"teacher_disagreement_score":0.03501641,"about_ca_system_score_codex":0.000021268746,"about_ca_system_score_gemma":0.000009603308,"threshold_uncertainty_score":0.20263761},"labels":[],"label_agreement":null},{"id":"W3183805430","doi":"10.1109/tac.2020.3024143","title":"Optimal Linear Encryption Against Stealthy Attacks on Remote State Estimation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Encryption; Computer science; Network packet; Stackelberg competition; Probabilistic encryption; Computer security; Computer network; Real-time computing; Mathematics","score_opus":0.011651828185886573,"score_gpt":0.23474807840187287,"score_spread":0.22309625021598628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183805430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22235937,0.00002267971,0.77487004,0.00071247126,0.0005317561,0.00041327285,0.000040910767,0.00085968897,0.00018979718],"genre_scores_gemma":[0.99484617,0.000059014557,0.004087541,0.0008337093,0.000072382514,0.000025423176,0.000005088049,0.000037690665,0.000033001692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870914,0.00006745927,0.0003852817,0.00024112496,0.00030812074,0.0002888989],"domain_scores_gemma":[0.9993192,0.00017644298,0.00005404342,0.00022246198,0.000034037705,0.00019379245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012570243,0.00022887184,0.00026718836,0.00011785774,0.0001591428,0.000042495933,0.00014105231,0.00010172447,0.00008995556],"category_scores_gemma":[0.000017431868,0.00022488575,0.000118258475,0.00024699475,0.000038423426,0.00017025275,4.9993815e-7,0.00032779056,0.0005467924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054620683,0.000039975206,4.042242e-7,0.00010276245,0.00004575562,0.000007788786,0.00081611896,0.90256304,0.0021632586,0.000003267991,0.00012251103,0.09408048],"study_design_scores_gemma":[0.0012540477,0.0002597011,0.000076730204,0.00009211226,0.000035839676,0.000003258298,0.00004596256,0.99216074,0.0056087263,0.000014194119,0.00023514564,0.00021356052],"about_ca_topic_score_codex":0.0000065982017,"about_ca_topic_score_gemma":0.000007767911,"teacher_disagreement_score":0.77248675,"about_ca_system_score_codex":0.0000985185,"about_ca_system_score_gemma":0.00003453012,"threshold_uncertainty_score":0.91705745},"labels":[],"label_agreement":null},{"id":"W3185243740","doi":"10.32920/ryerson.14657520.v1","title":"A lightweight approach towards mutual authentication in a smart grid environment","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mutual authentication; Computer science; Smart grid; Authentication (law); Smart meter; Computer network; Authentication protocol; Computer security; Overhead (engineering); Key (lock); Default gateway; Key management; Protocol (science); Cryptography; Engineering; Operating system","score_opus":0.011178743170602527,"score_gpt":0.19615254491563405,"score_spread":0.18497380174503153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185243740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88050616,0.003765095,0.052653864,0.0004782184,0.004019552,0.0010766606,0.000036922786,0.0005943755,0.056869145],"genre_scores_gemma":[0.9898545,0.0011080435,0.0075762677,0.000034419892,0.00037146092,0.0002144876,0.00027273616,0.000037891466,0.00053016696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853027,0.000047586367,0.0003592551,0.00047197225,0.00029975886,0.00029118365],"domain_scores_gemma":[0.9993043,0.000017806608,0.000032192274,0.0005463648,0.0000109823395,0.000088387234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018873662,0.00027736652,0.0003128355,0.0001460191,0.000027635637,0.00008137303,0.00030946665,0.00036601324,0.00030270603],"category_scores_gemma":[0.000012656457,0.00026078615,0.00012087044,0.00011194354,0.00004753829,0.000071072274,0.00037725872,0.0006786531,0.000076737175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006468333,0.003084066,0.007520387,0.0069253976,0.0009722485,0.00036236757,0.07342536,0.84873813,0.009642731,0.005611258,0.021245463,0.022407888],"study_design_scores_gemma":[0.0007083839,0.000036830857,0.043959048,0.0003890979,0.00009726542,0.00004022385,0.0014162351,0.9006018,0.016449306,0.00050179305,0.034105614,0.0016943975],"about_ca_topic_score_codex":0.000076938144,"about_ca_topic_score_gemma":0.000038490532,"teacher_disagreement_score":0.10934836,"about_ca_system_score_codex":0.0001983381,"about_ca_system_score_gemma":0.000056909877,"threshold_uncertainty_score":0.99998444},"labels":[],"label_agreement":null},{"id":"W3191323206","doi":"10.1080/00207179.2021.1964604","title":"Backstepping control for stochastic nonlinear strict-feedback systems based on observer with incomplete measurements","year":2021,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Nonlinear system; State observer; Estimator; Observer (physics); Bounded function; State (computer science); State variable; Mathematics; Stability (learning theory); Network packet; Computer science; Control (management); Adaptive control; Algorithm; Artificial intelligence; Statistics","score_opus":0.02043131680092506,"score_gpt":0.23408864839442062,"score_spread":0.21365733159349556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191323206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06616095,0.0007161123,0.92769605,0.00070130324,0.0038945565,0.0003675321,0.0001508627,0.000034684064,0.00027795712],"genre_scores_gemma":[0.9978623,0.0000049099544,0.0007946313,0.000349048,0.00092536584,0.000013456638,0.0000073139195,0.000022407166,0.000020563166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983845,0.00006746455,0.0004604971,0.0001158658,0.00078170956,0.00018998672],"domain_scores_gemma":[0.9978446,0.0005116781,0.00018853121,0.00011186904,0.0012417828,0.00010153925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039389293,0.00015242869,0.00030823998,0.00014085286,0.000042319392,0.00011284471,0.00030837208,0.00005527012,0.000023270648],"category_scores_gemma":[0.00024596057,0.00012279986,0.00014263795,0.00008304898,0.000023685743,0.0001623424,0.00000653058,0.00020206432,0.000006958129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008061121,0.000075088865,0.0008720345,0.00003347311,0.0005469913,0.000066840075,0.00002858785,0.99346983,0.0034240156,0.000086037675,0.00029164046,0.00029932387],"study_design_scores_gemma":[0.013323524,0.00027208973,0.0025638626,0.00063990784,0.00010819626,0.0001183351,0.00005758794,0.97933424,0.00057390094,0.000019009103,0.0027920746,0.00019726048],"about_ca_topic_score_codex":0.0000031112338,"about_ca_topic_score_gemma":0.000008306426,"teacher_disagreement_score":0.93170136,"about_ca_system_score_codex":0.00015916416,"about_ca_system_score_gemma":0.00014389674,"threshold_uncertainty_score":0.50076324},"labels":[],"label_agreement":null},{"id":"W3194527527","doi":"10.1109/tsg.2021.3106246","title":"Targeted False Data Injection Attacks Against AC State Estimation Without Network Parameters","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Phasor; Phasor measurement unit; Electric power system; State (computer science); Units of measurement; Computer science; Data modeling; Data mining; Power (physics); Algorithm","score_opus":0.022664958578599556,"score_gpt":0.24816426914738535,"score_spread":0.2254993105687858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194527527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28275368,0.00019551563,0.70896137,0.00009098572,0.0067808046,0.00021755019,0.00023199352,0.0005439025,0.00022420878],"genre_scores_gemma":[0.9930528,0.00051416014,0.005521667,0.00019744612,0.00020647892,0.000040590374,0.0002638712,0.000056135028,0.00014689776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837816,0.00009325441,0.0003583671,0.00045494386,0.00029571154,0.0004195906],"domain_scores_gemma":[0.99880064,0.00011452381,0.000045905166,0.000823846,0.00006959909,0.0001454913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021263996,0.0002607353,0.00025454303,0.000112962094,0.00030110683,0.0001024915,0.00026669403,0.00013769146,0.00004666514],"category_scores_gemma":[0.0000147916135,0.00027890297,0.00009019404,0.0006281976,0.00006792215,0.0005566457,0.000004714478,0.0005109795,0.00014662098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003159282,0.000065384134,0.000116707844,0.000042609277,0.00009491404,0.000017439179,0.00020053552,0.97889274,0.001360962,0.0000017313911,0.0033774325,0.01579796],"study_design_scores_gemma":[0.0005552813,0.00007247304,0.00083585735,0.00012307109,0.00007779247,0.000045653494,0.000085702784,0.9535145,0.035439912,0.000055656277,0.008713831,0.0004802625],"about_ca_topic_score_codex":0.000041184267,"about_ca_topic_score_gemma":0.00056710915,"teacher_disagreement_score":0.7102991,"about_ca_system_score_codex":0.00010323286,"about_ca_system_score_gemma":0.000068574605,"threshold_uncertainty_score":0.9999663},"labels":[],"label_agreement":null},{"id":"W3197535271","doi":"10.1109/blackseacom52164.2021.9527781","title":"On Delay Sensitivity Clusters of Microgrid Data Aggregation Under LTE-A Links","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Science Foundation","keywords":"Microgrid; Computer science; Latency (audio); Sensitivity (control systems); Overhead (engineering); Energy consumption; Smart grid; Low latency (capital markets); Computer network; Distributed computing; Real-time computing; Telecommunications; Engineering; Electronic engineering; Artificial intelligence","score_opus":0.018659544089065474,"score_gpt":0.23607295821966603,"score_spread":0.21741341413060056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197535271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95930684,0.00037108036,0.036529824,0.0003252039,0.00070210866,0.0000850842,0.00004034166,0.00011791181,0.002521617],"genre_scores_gemma":[0.99840856,0.00013291571,0.0009922654,0.00022461216,0.00006717912,7.430809e-7,0.00008490422,0.000009146185,0.00007966299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945885,0.000032335898,0.000119040575,0.00016031528,0.00011419647,0.00011527226],"domain_scores_gemma":[0.99935246,0.00013962062,0.000014894365,0.00042515527,0.000032115673,0.000035744222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012415678,0.00007389055,0.00009894265,0.000030576168,0.000025760723,0.000014306206,0.000090435446,0.00010547813,0.000046277575],"category_scores_gemma":[0.000039228617,0.000069071495,0.000025654555,0.00013042602,0.00003080093,0.00011038504,0.00007815994,0.00018539676,0.000028557317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045310924,0.00029818754,0.0013638441,0.00042879488,0.00025821294,0.0002546718,0.0011676868,0.74785185,0.16092245,0.0057057934,0.02796399,0.053739194],"study_design_scores_gemma":[0.00045176878,0.00003431049,0.0033835194,0.00013815204,0.000031692543,0.000083070765,0.00042468862,0.6160993,0.37333766,0.00028653568,0.0054115523,0.0003177503],"about_ca_topic_score_codex":0.000023196248,"about_ca_topic_score_gemma":0.0003579734,"teacher_disagreement_score":0.21241519,"about_ca_system_score_codex":0.00001793327,"about_ca_system_score_gemma":0.00001821233,"threshold_uncertainty_score":0.28166538},"labels":[],"label_agreement":null},{"id":"W3198286640","doi":"10.1016/j.epsr.2021.107547","title":"A distributed communication framework for smart Grid control applications based on data distribution service","year":2021,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Smart grid; Microgrid; Distributed computing; Asynchronous communication; Quality of service; Grid; Computer network; Control (management); Engineering; Electrical engineering","score_opus":0.04700865578887676,"score_gpt":0.334186618312346,"score_spread":0.2871779625234692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198286640","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011843562,0.004163115,0.98777366,0.0013982754,0.0003924676,0.0016062113,0.0028926898,0.00023779664,0.00035144834],"genre_scores_gemma":[0.99200994,0.00014830208,0.0002694162,0.00005751596,0.00017774208,0.0011163446,0.0061604627,0.000030316569,0.000029955663],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997617,0.00041252043,0.00032626497,0.0004165825,0.0006222962,0.00060533633],"domain_scores_gemma":[0.99499935,0.0020760933,0.000041906787,0.0020044618,0.0007302398,0.00014792169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015649354,0.00015295584,0.00023479229,0.00012244242,0.00047158348,0.00019730009,0.0010092485,0.00021221931,0.000015270216],"category_scores_gemma":[0.00076194014,0.00015478421,0.00004634646,0.0021935613,0.000038164675,0.00013565015,0.000095035364,0.0007490446,0.00008101438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086363056,0.0026082452,0.002289571,0.004466105,0.0008498235,0.000060694994,0.0006602387,0.2953421,0.011857712,0.1429644,0.5333202,0.004717287],"study_design_scores_gemma":[0.0005007159,0.000059277365,0.0006710476,0.00014622747,0.0000134379825,0.0000075708103,0.000084535895,0.7839382,0.0007494742,0.00032920047,0.21332559,0.0001746927],"about_ca_topic_score_codex":0.000066386536,"about_ca_topic_score_gemma":0.000039529623,"teacher_disagreement_score":0.9908256,"about_ca_system_score_codex":0.00029524582,"about_ca_system_score_gemma":0.00023514513,"threshold_uncertainty_score":0.63119173},"labels":[],"label_agreement":null},{"id":"W3199743083","doi":"10.3390/en14185823","title":"A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Kalman filter; Unsupervised learning; Process (computing); Phasor; Denial-of-service attack; Electric power system; Cluster analysis; Decision tree; Artificial intelligence; Data mining; State (computer science); Machine learning; Smart grid; Power (physics); Real-time computing; Engineering","score_opus":0.007429252373926352,"score_gpt":0.23231465114733632,"score_spread":0.22488539877340996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199743083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916549,0.0022749223,0.004729457,0.00006374743,0.0005052684,0.00004290992,0.0000027024244,0.00010122285,0.0006249052],"genre_scores_gemma":[0.9875197,0.00012733233,0.012127642,0.00004293657,0.00010916607,0.00002117567,0.0000017917188,0.00001680146,0.000033457323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994482,0.00001226414,0.00012475543,0.00014323764,0.0000658469,0.00020572403],"domain_scores_gemma":[0.9995182,0.00031502036,0.000012322503,0.00010340956,0.000021473377,0.000029532246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009568141,0.00008949545,0.00011629566,0.00004843454,0.00006678199,0.000044759483,0.00005491171,0.00005577514,0.000011518967],"category_scores_gemma":[0.0003222035,0.00009314006,0.00002924536,0.000105867985,0.00002425108,0.00008800666,0.000039286737,0.0001569535,0.0000013306792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005394855,0.000132482,0.018386897,0.0012868412,0.00014284984,0.0005236223,0.025507884,0.7187216,0.078063145,0.054197993,0.0019640855,0.10101861],"study_design_scores_gemma":[0.0009980431,0.000114870934,0.022070052,0.0009573388,0.000026521691,0.00016316024,0.0073807817,0.10564731,0.8258484,0.020533739,0.0151938945,0.0010659118],"about_ca_topic_score_codex":0.0000066125867,"about_ca_topic_score_gemma":0.000032299024,"teacher_disagreement_score":0.7477852,"about_ca_system_score_codex":0.000018235745,"about_ca_system_score_gemma":0.000010368102,"threshold_uncertainty_score":0.37981415},"labels":[],"label_agreement":null},{"id":"W3201306532","doi":"10.3390/app11188780","title":"Technological Perspective of Cyber Secure Smart Inverters Used in Power Distribution System: State of the Art Review","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Smart grid; Computer security; Software deployment; Interoperability; Computer science; Reliability (semiconductor); Risk analysis (engineering); Cyber-physical system; Grid; Systems engineering; Engineering; Power (physics); Electrical engineering; Business; Software engineering","score_opus":0.008182738626494684,"score_gpt":0.21407494717624068,"score_spread":0.205892208549746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201306532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980215,0.005102007,0.0014682437,0.000777892,0.00028812618,0.00043740118,0.00003640377,0.00008446536,0.01159047],"genre_scores_gemma":[0.99959373,0.00030525067,0.00004336811,0.00003174946,0.00000298225,0.000011888596,0.0000015238985,0.0000022048773,0.0000072975427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919534,0.000030640018,0.00019892187,0.00016116662,0.0002726776,0.00014125703],"domain_scores_gemma":[0.9996853,0.000047297413,0.000046788788,0.00016078397,0.000041516094,0.00001832727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039849145,0.00007248054,0.0001838628,0.000027674423,0.00004574436,0.000008237676,0.00026691196,0.000041700427,0.000011021929],"category_scores_gemma":[0.000055735127,0.000046219502,0.00004382574,0.0010184002,0.0006346432,0.00004743341,0.00006024888,0.00013079171,0.000005212813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002676877,0.00040067322,0.031549603,0.00515129,0.000120103294,0.000041642605,0.0077289217,0.019045047,0.15173915,0.77108777,0.009715369,0.0033936347],"study_design_scores_gemma":[0.0014929394,0.0002073077,0.1048751,0.011044208,0.0001319264,0.00010861404,0.047054462,0.018565817,0.7902494,0.013459145,0.011345252,0.0014658127],"about_ca_topic_score_codex":0.000006929131,"about_ca_topic_score_gemma":0.00005071913,"teacher_disagreement_score":0.7576286,"about_ca_system_score_codex":0.00005831962,"about_ca_system_score_gemma":0.00004584184,"threshold_uncertainty_score":0.23383693},"labels":[],"label_agreement":null},{"id":"W3204844788","doi":"10.23919/annsim52504.2021.9552043","title":"Modeling and Simulation Approaches for Cybersecurity Impact Analysis: State-of-the-Art","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyberinfrastructure; Cyber-physical system; Exploit; Computer science; Computer security; Compromise; Critical infrastructure; Aggregate (composite); Industrial control system; Risk analysis (engineering); Control (management); State (computer science); Systems engineering; Data science; Engineering","score_opus":0.024995110173493224,"score_gpt":0.2506332755491379,"score_spread":0.22563816537564466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204844788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7168173,0.00028852784,0.2825197,0.000014248998,0.00004446653,0.00006961649,0.0000089439345,0.000026590533,0.00021057458],"genre_scores_gemma":[0.9989115,0.00002150078,0.0009888732,0.000006050058,0.000015556254,0.000003842994,0.0000083889745,0.00000549319,0.000038819137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958956,0.000011782743,0.00012356511,0.00009893057,0.00007501831,0.0001011695],"domain_scores_gemma":[0.9997416,0.00005290406,0.000010636732,0.00012836294,0.00003646703,0.000029993753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008596005,0.00006368523,0.00012104654,0.000038802136,0.00004128701,0.000017549033,0.00004379977,0.000030015699,0.000009212281],"category_scores_gemma":[0.0000269516,0.00004572768,0.00011651038,0.00027841143,0.000016251795,0.00008273511,0.000019425703,0.00004924598,4.4875856e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030489045,0.000008275148,0.001222167,0.000035226924,0.00013324736,1.3511176e-7,0.00044496023,0.9973785,0.00012954317,0.00008784385,0.000013677251,0.0005433611],"study_design_scores_gemma":[0.00008834166,0.0000046966734,0.0016089302,0.0000051034604,0.0000848141,4.950332e-7,0.0001023886,0.9956539,0.001778337,0.00057654653,0.000034827568,0.00006157679],"about_ca_topic_score_codex":0.00001324584,"about_ca_topic_score_gemma":0.0001881931,"teacher_disagreement_score":0.28209415,"about_ca_system_score_codex":0.000012939206,"about_ca_system_score_gemma":0.0000132448595,"threshold_uncertainty_score":0.18647207},"labels":[],"label_agreement":null},{"id":"W3205437656","doi":"10.1016/j.automatica.2021.109953","title":"Distributed control under compromised measurements: Resilient estimation, attack detection, and vehicle platooning","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; International Federation of Automatic Control; Vetenskapsrådet; Stiftelsen för Strategisk Forskning","keywords":"Observer (physics); Control theory (sociology); Detector; Controller (irrigation); Computer science; Fault tolerance; Real-time computing; Engineering; Control (management); Distributed computing; Artificial intelligence","score_opus":0.015869897892561272,"score_gpt":0.22912230754503726,"score_spread":0.213252409652476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205437656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8221274,0.0006088697,0.17581779,0.0002187323,0.0002502002,0.00017418906,0.000013485776,0.00046061116,0.00032874683],"genre_scores_gemma":[0.99863887,0.00001294503,0.0011737804,0.00008420094,0.000027109112,0.000018523479,0.000012966013,0.000014705452,0.00001688587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991425,0.000044438828,0.00023683324,0.00016337914,0.00020803855,0.0002048104],"domain_scores_gemma":[0.9995058,0.00010756823,0.000027462826,0.00018699926,0.00008214334,0.00009002786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012606956,0.00011940248,0.00016330488,0.000031615684,0.00016141035,0.00007280047,0.00006397989,0.00006526298,0.00004553238],"category_scores_gemma":[0.0001212356,0.000120082565,0.000029229914,0.00019177378,0.000051316354,0.00012636745,0.000019740799,0.00011347074,0.00003578207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031778407,0.00015988809,0.0045102444,0.00051952427,0.0003729315,0.00003684095,0.0010319202,0.85550857,0.12713985,0.00066886377,0.0027323687,0.007287196],"study_design_scores_gemma":[0.00093092275,0.000015478909,0.04726712,0.00006633446,0.000032242904,0.000021158801,0.0000921714,0.9285346,0.02231633,0.00020583185,0.00036527254,0.00015249755],"about_ca_topic_score_codex":0.0000030591088,"about_ca_topic_score_gemma":0.000023405251,"teacher_disagreement_score":0.17651151,"about_ca_system_score_codex":0.00006215446,"about_ca_system_score_gemma":0.00002447276,"threshold_uncertainty_score":0.48968247},"labels":[],"label_agreement":null},{"id":"W3206438888","doi":"10.36227/techrxiv.15176175.v1","title":"Automating Network Operation Centers with Superhuman Performance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Reinforcement learning; Computer science; Action (physics); Artificial intelligence; Automation; Face (sociological concept); Engineering","score_opus":0.006342908741879539,"score_gpt":0.1794790001133157,"score_spread":0.17313609137143615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206438888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98395014,0.00043293016,0.004043672,0.000030177194,0.0013471342,0.00017290049,0.0000012720817,0.000555472,0.009466318],"genre_scores_gemma":[0.99512,0.00029045448,0.0039729187,0.000045851782,0.00030184153,0.000026292248,0.00008504084,0.000029723578,0.00012789028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991109,0.000018193758,0.00020510027,0.00023865404,0.00016914749,0.00025800205],"domain_scores_gemma":[0.9996049,0.000013163627,0.000020754938,0.0002793711,0.000029820178,0.000052007385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000951137,0.00020061692,0.00019721426,0.000032195854,0.00011454832,0.00017496606,0.00017772698,0.0001425017,0.00020413878],"category_scores_gemma":[0.000002624014,0.00016865619,0.000044838012,0.00008052881,0.000029974188,0.00015148548,0.00014356963,0.00045386303,0.000015000416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012250478,0.0000065392464,0.007082152,0.00036791054,0.000039020826,0.0000067899277,0.0007932117,0.9902478,0.000089029796,0.0000626244,0.00037430905,0.00092938665],"study_design_scores_gemma":[0.00013201509,0.000022296752,0.020537049,0.0006956003,0.000016955237,0.00001960438,0.00021131875,0.97647095,0.0012935515,0.0000050451617,0.00022851847,0.00036707966],"about_ca_topic_score_codex":0.00001927325,"about_ca_topic_score_gemma":0.00014793526,"teacher_disagreement_score":0.013776836,"about_ca_system_score_codex":0.000057690915,"about_ca_system_score_gemma":0.000040103,"threshold_uncertainty_score":0.68776},"labels":[],"label_agreement":null},{"id":"W3206834915","doi":"10.1016/j.comnet.2021.108541","title":"Towards efficient and flexible management and interworking techniques for Industrial Internet of Things","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Industrial Internet; Internet of Things; The Internet; Telecommunications; Data science; Engineering management; World Wide Web","score_opus":0.014763273079255398,"score_gpt":0.21436268740764494,"score_spread":0.19959941432838954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206834915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051351372,0.0015217919,0.9453396,0.000026769325,0.00088144524,0.0001713304,6.4624066e-7,0.00012192033,0.0005850863],"genre_scores_gemma":[0.9673376,0.00024701393,0.031880256,0.000074487005,0.00039102678,0.000013443588,0.0000048629986,0.000012909374,0.000038419614],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950606,0.00001086371,0.00014594242,0.00014769376,0.000054673732,0.00013477667],"domain_scores_gemma":[0.9997921,0.0000409797,0.000019977455,0.00009114695,0.000020662648,0.000035105695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110655375,0.00008768122,0.00013854925,0.000042387102,0.000023259874,0.000046543446,0.00007929409,0.000080056154,0.0000024328303],"category_scores_gemma":[0.0000021093938,0.00008471153,0.00002764013,0.00008730957,0.000039137445,0.00003655106,0.00019917227,0.00012063629,1.0625018e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032737873,0.00003966144,0.00051391695,0.00035664084,0.00013269314,0.000026220283,0.0014737226,0.060271308,0.000046991787,0.0039575086,0.008352854,0.92479575],"study_design_scores_gemma":[0.0002557413,0.000045369412,0.00021739336,0.00039301,0.000015488122,0.000016791544,0.000026796703,0.98631394,0.003135739,0.00015086553,0.009319486,0.000109401415],"about_ca_topic_score_codex":0.0000021589908,"about_ca_topic_score_gemma":5.6051294e-7,"teacher_disagreement_score":0.9260426,"about_ca_system_score_codex":0.000012163016,"about_ca_system_score_gemma":0.0000032980322,"threshold_uncertainty_score":0.34544358},"labels":[],"label_agreement":null},{"id":"W3209428779","doi":"10.1016/j.cose.2021.102511","title":"Power jacking your station: In-depth security analysis of electric vehicle charging station management systems","year":2021,"lang":"en","type":"article","venue":"Computers & Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Office of Advanced Cyberinfrastructure; Natural Sciences and Engineering Research Council of Canada; Ontario Arts Council; Concordia University; National Science Foundation","keywords":"Computer security; Computer science; Cyber-physical system; Firmware; Leverage (statistics); Grid; Vulnerability assessment; Vulnerability (computing); Implementation; Vulnerability management; Critical infrastructure; Telecommunications","score_opus":0.008312177583636468,"score_gpt":0.22573767002711898,"score_spread":0.2174254924434825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209428779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97907096,0.0021983632,0.016159855,0.00004016313,0.0008704395,0.00021483863,0.00002473231,0.00014492491,0.0012756974],"genre_scores_gemma":[0.9992293,0.0003363052,0.00023537767,0.000033277916,0.00005265327,0.000011447634,0.00007823539,0.000017164712,0.0000062022887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830276,0.00012213118,0.00048416707,0.00035145364,0.0003778233,0.00036168535],"domain_scores_gemma":[0.99926996,0.000096318196,0.00009773788,0.0003294829,0.00012324905,0.00008324814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031498756,0.00019304178,0.00041556894,0.00055381574,0.000071950875,0.00008149818,0.00021115539,0.00008417352,0.000024429597],"category_scores_gemma":[0.0000130117005,0.0002245224,0.00013536678,0.002567808,0.000025338122,0.00024516744,0.000079877966,0.0002520942,0.0000065438894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003340351,0.0003875556,0.035082255,0.0014094188,0.0017236691,0.00036407606,0.028384103,0.91640955,0.0023881418,0.010313601,0.0010970298,0.0024072172],"study_design_scores_gemma":[0.00044496902,0.00002286423,0.086266175,0.00012662665,0.00015897608,0.000004845474,0.0012537121,0.90897983,0.0014514669,0.0003427889,0.00066256657,0.00028516832],"about_ca_topic_score_codex":0.00008453741,"about_ca_topic_score_gemma":0.00014449478,"teacher_disagreement_score":0.051183917,"about_ca_system_score_codex":0.00017570262,"about_ca_system_score_gemma":0.000026307056,"threshold_uncertainty_score":0.91557574},"labels":[],"label_agreement":null},{"id":"W3209743353","doi":"10.1109/tsmc.2021.3121205","title":"A Key-Agreement Scheme for Cyber–Physical Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Key (lock); Computer science; Scheme (mathematics); Cryptography; Controller (irrigation); State (computer science); Actuator; Key exchange; Physical system; Distributed computing; Theoretical computer science; Computer security; Public-key cryptography; Algorithm; Mathematics; Artificial intelligence; Encryption","score_opus":0.013015583443104037,"score_gpt":0.21699365341636453,"score_spread":0.2039780699732605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209743353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38460317,0.013448364,0.5707072,0.000084268955,0.020412598,0.0030105007,0.00048112095,0.00078398077,0.006468807],"genre_scores_gemma":[0.99390835,0.00034145167,0.00007246793,0.000014017917,0.0006336562,0.0005648394,0.000011107123,0.00007057711,0.0043835538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997821,0.000114528186,0.0005854179,0.00049867464,0.0004639367,0.00051645463],"domain_scores_gemma":[0.9987782,0.00018640536,0.000079697755,0.00051401666,0.00017730136,0.00026434177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023758593,0.0003879472,0.0006058439,0.0001389235,0.00025444367,0.00035998988,0.00018334399,0.00022469828,0.000005566925],"category_scores_gemma":[0.000004383509,0.0003756865,0.00017758491,0.0002655872,0.00007585597,0.00011615717,0.00000303226,0.0002953401,0.00008119878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007055536,0.0006246878,0.000074884054,0.007163736,0.00096784614,0.000100110155,0.0044461368,0.9432319,0.02146738,0.014458309,0.006275274,0.001119214],"study_design_scores_gemma":[0.0015332199,0.00028103037,0.000045963625,0.0011773638,0.00016861435,0.00038505148,0.0046895836,0.9076866,0.005818944,0.000020737078,0.077283084,0.0009098052],"about_ca_topic_score_codex":0.00015951332,"about_ca_topic_score_gemma":0.000045405865,"teacher_disagreement_score":0.60930514,"about_ca_system_score_codex":0.00013981799,"about_ca_system_score_gemma":0.000046250243,"threshold_uncertainty_score":0.9998695},"labels":[],"label_agreement":null},{"id":"W3210132965","doi":"10.1109/tsipn.2021.3122289","title":"Detection of False Data Injection Attacks in Industrial Wireless Sensor Networks Exploiting Network Numerical Sparsity","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Signal and Information Processing over Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Wireless sensor network; Scalability; Compressed sensing; Linear network coding; Data aggregator; Computer network; Distributed computing; Software deployment; Real-time computing; Algorithm","score_opus":0.0223292163812453,"score_gpt":0.22262770714395666,"score_spread":0.20029849076271136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210132965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16035326,0.0002333056,0.838258,0.000010422831,0.0007875777,0.0001183593,0.000010391472,0.00010549378,0.00012314218],"genre_scores_gemma":[0.99906576,0.00032564413,0.00015381226,0.00008134159,0.00030552398,0.000010979652,0.000038576767,0.0000132678515,0.0000050792087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866164,0.00006502943,0.00055585057,0.00019644487,0.00022377378,0.0002972819],"domain_scores_gemma":[0.99941367,0.00010509121,0.00012859538,0.00018528404,0.00008646618,0.00008091669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029331454,0.00018506416,0.00025709404,0.00012650454,0.00024660537,0.00011568611,0.000120292185,0.00028881078,0.000020694548],"category_scores_gemma":[0.000006735294,0.00019619503,0.000043571945,0.0008713114,0.000057287587,0.0023355247,0.000007842554,0.0007213072,0.0000017087123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084001134,0.000028851842,0.00028414332,0.000055386892,0.000017701212,0.0000017592553,0.00018539537,0.8622776,0.0000837936,0.00000438716,0.00005593798,0.13692102],"study_design_scores_gemma":[0.0005750616,0.000048582,0.0007156221,0.00026488048,0.000027539598,0.000028938526,0.0003212298,0.995403,0.0020343922,0.000008700673,0.0003642621,0.00020781302],"about_ca_topic_score_codex":0.000036495563,"about_ca_topic_score_gemma":0.000064824875,"teacher_disagreement_score":0.8387125,"about_ca_system_score_codex":0.000077495286,"about_ca_system_score_gemma":0.000046289508,"threshold_uncertainty_score":0.80006015},"labels":[],"label_agreement":null},{"id":"W3210807370","doi":"10.1109/isie45552.2021.9576200","title":"A Q-Learning Based Dynamic Event-Triggered Control for Load Frequency Regulation of Power Systems with Denial-of-Service Attacks","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Denial-of-service attack; Computer science; Controller (irrigation); Scheme (mathematics); Control theory (sociology); Duration (music); Electric power system; Event (particle physics); Transmission (telecommunications); Control (management); Power (physics); Automatic frequency control; Real-time computing; Artificial intelligence; Telecommunications; Mathematics","score_opus":0.004043284705301027,"score_gpt":0.20472967699631053,"score_spread":0.2006863922910095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210807370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57008445,0.00071466336,0.42758748,0.00008203347,0.00031197103,0.000425072,0.000021400323,0.00010538336,0.00066757575],"genre_scores_gemma":[0.9984679,0.0000045114753,0.0013289618,0.000021351705,0.000013046395,0.000026449452,0.00001744866,0.000019026718,0.00010126619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991591,0.000041998195,0.00028775417,0.00014303312,0.000210019,0.0001580837],"domain_scores_gemma":[0.9991442,0.00016613826,0.00007928265,0.00018037626,0.0003898461,0.000040143088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015279603,0.000109929155,0.00024825602,0.000049540045,0.000036275225,0.000013625135,0.000081911,0.0000885944,0.00005737506],"category_scores_gemma":[0.000056429995,0.00009432487,0.000059614933,0.00026440414,0.000019670053,0.00008731874,0.000005739487,0.00008480686,0.000002682354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080950835,0.00003808276,0.001864722,0.0008410708,0.000081184546,0.000003554796,0.00032056705,0.87125856,0.124939576,0.00046435377,0.00003380631,0.00007356932],"study_design_scores_gemma":[0.0015828687,0.00012258903,0.0042577954,0.0002758083,0.00004391646,0.000005711456,0.0003238898,0.9788215,0.014281412,0.000034140005,0.00009885907,0.00015151435],"about_ca_topic_score_codex":0.0000764776,"about_ca_topic_score_gemma":0.00027738707,"teacher_disagreement_score":0.4283835,"about_ca_system_score_codex":0.000057796024,"about_ca_system_score_gemma":0.00012224235,"threshold_uncertainty_score":0.38464564},"labels":[],"label_agreement":null},{"id":"W3211862199","doi":"10.1109/tac.2021.3125430","title":"Worst-Case Stealthy Innovation-Based Linear Attacks on Remote State Estimation Under Kullback–Leibler Divergence","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Divergence (linguistics); Semidefinite programming; Constraint (computer-aided design); Covariance; Kullback–Leibler divergence; Linear programming; State (computer science); Mathematical optimization; Computer science; Linear system; Optimization problem; Mathematics; Algorithm; Artificial intelligence","score_opus":0.01603823068393164,"score_gpt":0.25634916298514526,"score_spread":0.24031093230121361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211862199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20480505,0.000032253043,0.79250693,0.0005096032,0.0011215312,0.00032954145,0.00006571586,0.00051258365,0.00011679542],"genre_scores_gemma":[0.9943411,0.000018800874,0.004523977,0.00079600303,0.00003845498,0.000036636906,0.000010687406,0.00004065635,0.000193701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834234,0.00009184523,0.000548102,0.00030716995,0.00036945922,0.00034110484],"domain_scores_gemma":[0.9987102,0.00047001065,0.00007916701,0.00045259585,0.00017785175,0.00011013843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022800703,0.00026452346,0.000286456,0.000311311,0.00028890383,0.00006283611,0.00012083684,0.00012595422,0.0003889949],"category_scores_gemma":[0.000034344976,0.0002672843,0.00010402329,0.0010443212,0.000055500892,0.00016347514,8.3083137e-7,0.00035106466,0.00030424297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003111276,0.00012332851,0.0000028637714,0.00012872671,0.00007301244,0.00014294648,0.00021675468,0.9645689,0.0009871083,0.00006218293,0.000114049,0.03354901],"study_design_scores_gemma":[0.0014428396,0.00008936113,0.00014688166,0.00017064619,0.00005434151,0.000061957544,0.000067864225,0.98588306,0.011441797,0.00026473973,0.00010474952,0.00027177224],"about_ca_topic_score_codex":0.000028579987,"about_ca_topic_score_gemma":0.00014666952,"teacher_disagreement_score":0.78953606,"about_ca_system_score_codex":0.00016532297,"about_ca_system_score_gemma":0.00014644141,"threshold_uncertainty_score":0.99997795},"labels":[],"label_agreement":null},{"id":"W3214578222","doi":"10.1109/iecon48115.2021.9589353","title":"Worst-Case Stealthy False-Data Injection Attacks on Remote State Estimation","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Estimator; Computer science; Set (abstract data type); State (computer science); Contrast (vision); Detector; Quality (philosophy); Data mining; Estimation; Interval (graph theory); Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Statistics; Engineering","score_opus":0.02983808120449154,"score_gpt":0.2782927632678369,"score_spread":0.24845468206334537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214578222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6274693,0.00026439247,0.36436617,0.0002981785,0.0014584252,0.00015460001,0.000035195244,0.0006007291,0.005353043],"genre_scores_gemma":[0.9932547,0.00014175857,0.0056369244,0.00019573231,0.00010377587,0.000001513593,0.00009308164,0.000022497765,0.0005499926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992498,0.000029443909,0.00017106086,0.00022789268,0.00014285004,0.00017894505],"domain_scores_gemma":[0.9993023,0.00007056282,0.000017870776,0.0005016329,0.000034999306,0.00007257984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015388134,0.00010194426,0.00009727086,0.000058716098,0.000092415794,0.00005226975,0.00010822777,0.000059366062,0.00006285073],"category_scores_gemma":[0.000077917255,0.00009777393,0.000020298445,0.00024795323,0.000015284366,0.0002387886,0.000055940523,0.00018448549,0.00017923125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024840185,0.00005094609,0.000068075795,0.00016461495,0.000036555422,0.0009384937,0.0007498,0.8428003,0.00073747477,0.0003966945,0.009717996,0.14431417],"study_design_scores_gemma":[0.00021156829,0.000044617424,0.00027075387,0.00004775448,0.000008226802,0.0005837043,0.0001829531,0.988834,0.0055099805,0.0006236184,0.0035102149,0.00017258262],"about_ca_topic_score_codex":0.00009376684,"about_ca_topic_score_gemma":0.000742546,"teacher_disagreement_score":0.36578545,"about_ca_system_score_codex":0.00004956023,"about_ca_system_score_gemma":0.000026145317,"threshold_uncertainty_score":0.39871055},"labels":[],"label_agreement":null},{"id":"W3215033917","doi":"10.1109/rws52686.2021.9611810","title":"Analyzing Implicit Interactions to Identify Weak Points in Cyber-Physical System Designs","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cyber-physical system; Computer science; Vulnerability (computing); Resilience (materials science); Unintended consequences; Distributed computing; Physical system; Computer security; Psychological resilience; Complex system; Systems design; Risk analysis (engineering); Human–computer interaction; Software engineering; Artificial intelligence","score_opus":0.01781560295315757,"score_gpt":0.2909201322896583,"score_spread":0.2731045293365007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215033917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545604,0.000043991127,0.032025725,0.00014733069,0.000604887,0.00008688176,0.0000031408754,0.00021673799,0.012310881],"genre_scores_gemma":[0.9988646,0.0000049732935,0.00066981686,0.000028540446,0.00013865744,0.00001637842,0.000002781054,0.000013637984,0.00026065158],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929094,0.00003119516,0.00017539444,0.00018247965,0.00009579327,0.00022417892],"domain_scores_gemma":[0.99958247,0.000086228036,0.0000087466,0.00019364641,0.000032055817,0.000096874144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071433795,0.00009861335,0.00015949775,0.00012265197,0.000045225628,0.00006147491,0.000107696185,0.000033488875,0.000057582118],"category_scores_gemma":[0.00003058424,0.00009783698,0.000062983716,0.00052853755,0.0000076286037,0.0001552942,0.000052495812,0.00017428353,0.00034350186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015704043,0.00024850943,0.011395003,0.00039542184,0.00016963271,0.0003638762,0.005100037,0.13575368,0.8108538,0.024498744,0.008119699,0.00308592],"study_design_scores_gemma":[0.0009667837,0.00006994099,0.1928463,0.0012310243,0.00009023735,0.00041537295,0.014728604,0.3901095,0.387476,0.00058348465,0.009979822,0.0015029139],"about_ca_topic_score_codex":0.000072510986,"about_ca_topic_score_gemma":0.0006646786,"teacher_disagreement_score":0.42337778,"about_ca_system_score_codex":0.00012921913,"about_ca_system_score_gemma":0.000014811184,"threshold_uncertainty_score":0.44151363},"labels":[],"label_agreement":null},{"id":"W3215327393","doi":"10.1016/j.ijepes.2021.107784","title":"Electric vehicle attack impact on power grid operation","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Software deployment; Grid; Electric vehicle; Vulnerability (computing); Computer security; Greenhouse gas; Electric power system; Incentive; Computer science; Automotive engineering; Power (physics); Environmental economics; Environmental science; Engineering","score_opus":0.006781747127132029,"score_gpt":0.24877758315166193,"score_spread":0.2419958360245299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215327393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699555,0.0060946248,0.0060818437,0.00038269907,0.010669433,0.000059429076,0.000011869103,0.00007653958,0.0066680335],"genre_scores_gemma":[0.998189,0.00036734724,0.000017273305,0.00018027994,0.0010169975,0.0000027837805,0.000007716118,0.000025909329,0.00019272929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803805,0.000102807906,0.00057978276,0.00015999241,0.0008303576,0.00028902804],"domain_scores_gemma":[0.998826,0.00015810612,0.0001353767,0.00014078019,0.00057482114,0.00016488756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020506562,0.00018858688,0.00028543477,0.00030949537,0.00004607962,0.0001753883,0.00038748508,0.00012715529,0.00012544447],"category_scores_gemma":[0.00011348138,0.00014853933,0.00023691129,0.00039502946,0.000014367176,0.0002766646,0.000020350382,0.00038398776,0.000038238497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003391996,0.0005247203,0.0015413163,0.0000097163065,0.0011287618,0.0015239108,0.0002439192,0.7949865,0.115388036,0.00964631,0.07322855,0.0014390944],"study_design_scores_gemma":[0.0041586324,0.0031953189,0.023094606,0.00053264166,0.00010056795,0.0077443873,0.00014148613,0.49738988,0.17321496,0.0003699652,0.28851297,0.001544568],"about_ca_topic_score_codex":0.000022749633,"about_ca_topic_score_gemma":0.000003470902,"teacher_disagreement_score":0.29759657,"about_ca_system_score_codex":0.000443923,"about_ca_system_score_gemma":0.00015426241,"threshold_uncertainty_score":0.60572577},"labels":[],"label_agreement":null},{"id":"W3216543983","doi":"10.1109/lcsys.2021.3130077","title":"Finite-Horizon Strictly Stealthy Deterministic Attacks on Cyber-Physical Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Constraint (computer-aided design); Computer science; Quadratic equation; Function (biology); Actuator; Horizon; Computer security; Optimization problem; Mathematics; Algorithm; Artificial intelligence","score_opus":0.009889837915398457,"score_gpt":0.2175896069430135,"score_spread":0.20769976902761503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216543983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489625,0.0015156387,0.026712712,0.00046826448,0.018437829,0.00089857675,0.00015796437,0.00066759007,0.0021789433],"genre_scores_gemma":[0.99638325,0.000024708525,0.0000044249405,0.0005708175,0.0026595662,0.00014649169,0.000011978097,0.000067293986,0.00013147228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975067,0.00027709865,0.0005333998,0.0004714624,0.0005421297,0.0006692309],"domain_scores_gemma":[0.99807334,0.0009006798,0.00010239328,0.0006005761,0.00007876965,0.0002442289],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020901576,0.0003812157,0.000679873,0.00013371451,0.00015679453,0.00023507849,0.0003021137,0.00016858436,0.0000045115266],"category_scores_gemma":[0.00008535306,0.00036225124,0.00018351799,0.0002944425,0.00006275047,0.00012982039,0.000014907045,0.00047289644,0.000325367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003808291,0.00007189601,0.00018579524,0.0005682872,0.00016252293,0.00072247547,0.0003031067,0.94076765,0.045292858,0.00042283707,0.01118451,0.00028000306],"study_design_scores_gemma":[0.0026780493,0.0003789991,0.00047060242,0.0006839521,0.0001314406,0.00014749463,0.00036536463,0.96197534,0.0013231292,0.0000048428187,0.030874215,0.0009665745],"about_ca_topic_score_codex":0.00006507483,"about_ca_topic_score_gemma":0.000010750575,"teacher_disagreement_score":0.047420766,"about_ca_system_score_codex":0.00021297517,"about_ca_system_score_gemma":0.000051573297,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W3217004556","doi":"10.1016/j.automatica.2021.110015","title":"Single-dimensional encryption against innovation-based stealthy attacks on remote state estimation","year":2021,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encryption; Computer security; Computer science; Countermeasure; Watermarking attack; Scheme (mathematics); Computer network; 40-bit encryption; 56-bit encryption; Engineering; Mathematics","score_opus":0.014601384884124232,"score_gpt":0.2385386564774574,"score_spread":0.22393727159333315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217004556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94572073,0.00004947112,0.04999848,0.00060148776,0.0005390478,0.00013646595,0.000010274135,0.00056498847,0.0023790225],"genre_scores_gemma":[0.9785688,0.000006962264,0.020365912,0.0007783806,0.00004478867,0.0000049967903,0.00014129993,0.000023128532,0.00006575769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989576,0.00004348951,0.00032471385,0.00017132974,0.00030015173,0.00020276407],"domain_scores_gemma":[0.9993482,0.00019468357,0.00005074507,0.0002372031,0.000119967604,0.000049199203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014964143,0.00013011905,0.00013282927,0.00013943239,0.00010090376,0.000045169843,0.00006960213,0.000071574934,0.0000649062],"category_scores_gemma":[0.0002013974,0.0001324919,0.000031489086,0.0005831458,0.000032183736,0.00011298123,0.000013181743,0.00015756734,0.00021221042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000896037,0.00007998571,0.000022583374,0.00017033525,0.000018540622,0.00002873177,0.00023517349,0.9193996,0.023590071,0.000622439,0.0017101737,0.0541134],"study_design_scores_gemma":[0.00026493618,0.00004265469,0.0014249113,0.00016994827,0.000005264476,0.000003758934,0.000013191821,0.9605497,0.035557076,0.0011004042,0.0007163887,0.0001517219],"about_ca_topic_score_codex":0.000002200917,"about_ca_topic_score_gemma":0.000005719025,"teacher_disagreement_score":0.053961676,"about_ca_system_score_codex":0.000108086766,"about_ca_system_score_gemma":0.00008441963,"threshold_uncertainty_score":0.5402863},"labels":[],"label_agreement":null},{"id":"W3217476834","doi":"10.1109/mcom.101.2001126","title":"Securing Critical Infrastructures: Deep-Learning-Based Threat Detection in IIoT","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":246,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"Japan Society for the Promotion of Science; National Natural Science Foundation of China","keywords":"Computer science; Deep learning; Industrial Internet; Long short term memory; ALARM; Computer security; Artificial intelligence; Transformer; Industrial control system; Scheme (mathematics); Encoder; Sequence (biology); Constant false alarm rate; False alarm; Internet of Things; Control (management); Artificial neural network; Recurrent neural network","score_opus":0.012444748705327273,"score_gpt":0.25855379895976016,"score_spread":0.2461090502544329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217476834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.771034,0.015778959,0.17811055,0.0027634092,0.003253619,0.00053298427,0.000026574951,0.0018161696,0.026683725],"genre_scores_gemma":[0.99622506,0.00050882087,0.0030073908,0.00006467608,0.00007796966,0.000035825207,0.00002505566,0.000024180319,0.000030996565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910164,0.00013246786,0.00024884037,0.00015710191,0.0001260986,0.0002338818],"domain_scores_gemma":[0.9985578,0.000370073,0.000018233159,0.00089433254,0.000090394045,0.00006915737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010999265,0.00013262083,0.00015026341,0.00013696738,0.00018613061,0.00005160979,0.0003988035,0.000111034875,0.00008593157],"category_scores_gemma":[0.00027353413,0.0001503384,0.00005209818,0.0005342473,0.0001388595,0.0001336402,0.00008374296,0.00065971445,0.00007766501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022783252,0.00028455767,0.0039407318,0.00031714785,0.000041464627,0.000063410436,0.0021010442,0.87900543,0.09462612,0.0016551587,0.0005251157,0.017417012],"study_design_scores_gemma":[0.0006693991,0.000042380663,0.027758017,0.00016601576,0.000025685145,0.00005984427,0.00028248032,0.8953929,0.046618264,0.0014612643,0.027098069,0.00042568072],"about_ca_topic_score_codex":0.000013420368,"about_ca_topic_score_gemma":0.0018810438,"teacher_disagreement_score":0.22519109,"about_ca_system_score_codex":0.0000948191,"about_ca_system_score_gemma":0.000031561696,"threshold_uncertainty_score":0.6130622},"labels":[],"label_agreement":null},{"id":"W3217495307","doi":"10.1109/epec52095.2021.9621640","title":"Real-Time Anomaly Detection in Distribution Grids Using Long Short Term Memory Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tripping; Computer science; Software deployment; Relay; Smart grid; Anomaly detection; Real-time computing; Electric power system; Grid; Identification (biology); Range (aeronautics); Power (physics); Data mining; Electrical engineering; Engineering; Circuit breaker","score_opus":0.007618293570947514,"score_gpt":0.21257098753447662,"score_spread":0.2049526939635291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217495307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98034286,0.00014248534,0.016502487,0.0000066190955,0.00058910256,0.0000667383,0.0000030097585,0.00018267258,0.0021640495],"genre_scores_gemma":[0.9991279,0.00009980064,0.0002888543,0.0000054951856,0.00033660486,0.0000035775188,0.000036821595,0.000012110375,0.00008882914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929124,0.000028282879,0.00017158545,0.00015872055,0.000099752804,0.00025041157],"domain_scores_gemma":[0.9997503,0.000025324049,0.000008167685,0.00014525796,0.000023228014,0.000047691647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012008766,0.00009797041,0.000120721714,0.000027641474,0.00006565255,0.00003141679,0.000054163604,0.00009763912,0.0000787194],"category_scores_gemma":[0.000011782093,0.00010298301,0.000040618077,0.00036736016,0.000020206768,0.00015402415,0.000029228602,0.00013474749,0.000016087473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016763619,0.00005103923,0.054967668,0.000101696314,0.00003408026,0.0002724591,0.00017459509,0.6121059,0.32176435,0.000059326227,0.0004158904,0.010036211],"study_design_scores_gemma":[0.00015574589,0.00001527082,0.3052854,0.0000817042,0.000016550048,0.0000964177,0.000055721393,0.5377288,0.15613793,0.00003529642,0.00011172832,0.00027947346],"about_ca_topic_score_codex":0.0000752416,"about_ca_topic_score_gemma":0.00060155144,"teacher_disagreement_score":0.25031772,"about_ca_system_score_codex":0.00014117007,"about_ca_system_score_gemma":0.00001958449,"threshold_uncertainty_score":0.4199525},"labels":[],"label_agreement":null},{"id":"W330699538","doi":"10.1007/978-3-662-45928-7_9","title":"Biologically Inspired Hierarchical Cyber-Physical Multi-agent Distributed Control Framework for Sustainable Smart Grids","year":2015,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cyber-physical system; Smart grid; Computer science; Distributed computing; Electric power system; Computer security; Grid; Flocking (texture); Engineering; Power (physics)","score_opus":0.022200120619193152,"score_gpt":0.24663073217218653,"score_spread":0.22443061155299338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W330699538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020487506,0.011274491,0.89643246,0.00029913455,0.011250519,0.0068527744,0.0033508302,0.0021403881,0.06635068],"genre_scores_gemma":[0.95858365,0.00007700552,0.00049507275,0.00007588544,0.0016448909,0.00051675295,0.0005501908,0.00020777417,0.037848745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973726,0.000058280166,0.0006423715,0.0006125381,0.00044901273,0.00086515996],"domain_scores_gemma":[0.99793684,0.00047191567,0.00014647291,0.00062404486,0.00038839146,0.00043235332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041428476,0.0006669847,0.0011405466,0.00013201067,0.00015919059,0.00015044484,0.00054711604,0.0011121122,0.000029985227],"category_scores_gemma":[0.0003200438,0.0005456808,0.00040155902,0.0000758803,0.0002150531,0.00009546922,0.000108542656,0.0009819207,0.00015479125],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024569946,0.0002125288,0.00011932074,0.0013262213,0.0007930033,0.00034426365,0.00064952014,0.012041231,0.0000755381,0.94481575,0.03924862,0.00012827845],"study_design_scores_gemma":[0.0014078009,0.00039470033,0.00013074355,0.0004930737,0.00012816822,0.000028148015,0.00012851653,0.030633088,0.0000108340455,0.011080852,0.9544821,0.0010819953],"about_ca_topic_score_codex":0.000030047102,"about_ca_topic_score_gemma":0.0000047548183,"teacher_disagreement_score":0.9565349,"about_ca_system_score_codex":0.0003784677,"about_ca_system_score_gemma":0.00010940844,"threshold_uncertainty_score":0.9996995},"labels":[],"label_agreement":null},{"id":"W403593874","doi":"10.1007/978-81-322-1798-5","title":"Reliability Modeling and Analysis of Smart Power Systems","year":2014,"lang":"en","type":"book","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Smart grid; Reliability (semiconductor); Computer science; Electric power system; Reliability engineering; Power grid; Work (physics); Systems engineering; Power (physics); Engineering; Electrical engineering; Mechanical engineering","score_opus":0.006622441407385892,"score_gpt":0.19174036730944874,"score_spread":0.18511792590206286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W403593874","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028885929,0.004222666,0.08772674,0.0000066597077,0.0011765471,0.00032569098,0.00007236939,0.00032835672,0.877255],"genre_scores_gemma":[0.8892477,0.00030892532,0.0001516147,0.000011070943,0.000057173424,0.0000067054593,0.000042601576,0.000036353806,0.11013782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907136,0.000017328432,0.0003575901,0.00022593663,0.00019071742,0.00013706708],"domain_scores_gemma":[0.9993405,0.00008697529,0.000039728155,0.00039808737,0.00006968935,0.00006502179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026345655,0.00018002519,0.00060795614,0.00025323898,0.00002214129,0.00001790243,0.00012302691,0.00028723912,0.00005053221],"category_scores_gemma":[0.000019459885,0.00015222604,0.00015072859,0.00013535155,0.00005149194,0.000040646093,0.000035426074,0.00020285812,0.000006963532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003072361,0.0000051879742,0.00014131829,0.00056151237,0.0005633224,8.179027e-7,0.00013109585,0.99302495,0.000016888984,0.0021712,0.0033542714,0.00002638334],"study_design_scores_gemma":[0.000038518352,0.000014129566,0.00007609191,0.00007574013,0.0004682371,8.339926e-7,0.000013955692,0.9857495,0.000005573195,0.00011926875,0.013259,0.00017916496],"about_ca_topic_score_codex":0.00004251997,"about_ca_topic_score_gemma":0.00004629975,"teacher_disagreement_score":0.8603618,"about_ca_system_score_codex":0.000047964502,"about_ca_system_score_gemma":0.000023042883,"threshold_uncertainty_score":0.6207598},"labels":[],"label_agreement":null},{"id":"W4200053677","doi":"10.1109/pst52912.2021.9647848","title":"A Novel Trust Model In Detecting Final-Phase Attacks in Substations","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Modbus; Computer science; Computer security; Blacklisting; Protocol (science); Transmission (telecommunications); Computer network; Embedded system; Communications protocol; Telecommunications","score_opus":0.03952198370224066,"score_gpt":0.28540421772850344,"score_spread":0.24588223402626277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200053677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93059146,0.00011546186,0.06557286,0.00005451804,0.00008210655,0.000046830843,0.00000419602,0.0000625368,0.0034700234],"genre_scores_gemma":[0.9947232,0.000026524982,0.004964168,0.000039009876,0.000016060363,0.000011576417,0.0000036148833,0.000008675199,0.00020719814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994803,0.000006413678,0.00015764836,0.00011598187,0.00006578828,0.0001738489],"domain_scores_gemma":[0.99979645,0.000050371884,0.000006259033,0.00009984849,0.000015572177,0.000031512915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007015189,0.000066018685,0.00008599695,0.00009314836,0.000024007708,0.000017183143,0.000054912416,0.00004854696,0.000039106584],"category_scores_gemma":[0.00005722871,0.00007102102,0.000021552083,0.0004013721,0.000010364336,0.000106371495,0.000015114926,0.00017216612,0.000009511378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032009075,0.00009366881,0.0011512673,0.00002623933,0.0000025195222,0.000038828875,0.0015458375,0.961997,0.033413995,0.0005000978,0.0000513943,0.0011759872],"study_design_scores_gemma":[0.000719705,0.0000044246935,0.0022222805,0.000025215111,0.0000013530288,0.000010311512,0.0005070622,0.9854948,0.010732122,0.00012162785,0.000064027554,0.000097074895],"about_ca_topic_score_codex":0.000051432406,"about_ca_topic_score_gemma":0.0042737625,"teacher_disagreement_score":0.0641317,"about_ca_system_score_codex":0.000043325083,"about_ca_system_score_gemma":0.000032508193,"threshold_uncertainty_score":0.28961533},"labels":[],"label_agreement":null},{"id":"W4200079843","doi":"10.1109/isgteurope52324.2021.9640212","title":"Sniffing Serial-Based Substation Devices: A Complement to Security-Centric Data Collection","year":2021,"lang":"en","type":"article","venue":"2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Modbus; Serial communication; Computer science; SCADA; Ethernet; USB; Embedded system; Serial port; Protocol (science); Computer network; Computer hardware; Communications protocol; Operating system; Engineering","score_opus":0.031126321278107126,"score_gpt":0.2604361031669194,"score_spread":0.22930978188881226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200079843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8939867,0.0026322077,0.06245706,0.0049452814,0.013660718,0.0023607158,0.0011185984,0.0064632017,0.012375503],"genre_scores_gemma":[0.9832064,0.0018124533,0.011048408,0.00096369284,0.00079271465,0.00013738223,0.0013797887,0.00024723524,0.00041191108],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99634516,0.00026579358,0.00087044877,0.001127148,0.0005912156,0.00080023776],"domain_scores_gemma":[0.9964957,0.00023097868,0.00019051804,0.0016041673,0.0013853002,0.00009331868],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060450606,0.00054940593,0.0005245892,0.00071663235,0.0004345716,0.0002965383,0.0014288926,0.00017104125,0.00019752243],"category_scores_gemma":[0.0012998288,0.0005646299,0.000056309793,0.012328587,0.0001978752,0.00050569815,0.0008848586,0.00080759014,0.00043655743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043998566,0.0018543048,0.01666331,0.0020464356,0.0011627679,0.0036831147,0.004337879,0.09316899,0.24601583,0.00733304,0.5775315,0.04576281],"study_design_scores_gemma":[0.0011434024,0.0002831184,0.0027356292,0.0003840112,0.000058750462,0.00007233151,0.0014212365,0.059296686,0.17873059,0.000051904568,0.7546386,0.0011837288],"about_ca_topic_score_codex":0.000024392444,"about_ca_topic_score_gemma":0.00033778424,"teacher_disagreement_score":0.17710708,"about_ca_system_score_codex":0.00020074114,"about_ca_system_score_gemma":0.00025599028,"threshold_uncertainty_score":0.9996805},"labels":[],"label_agreement":null},{"id":"W4200160815","doi":"10.52924/zurr2598","title":"A NOVEL FULLY CONTROLLABLE ROTARY SWITCH FOR ELECTRICAL INSTALLATION IN BUILDINGS","year":2021,"lang":"en","type":"article","venue":"ENERGY ENVIRONMENT & STORAGE","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Installation; Control (management); Computer science; Electrical load; Automotive engineering; Blocking (statistics); Limit switch; Electrical engineering; Engineering; Computer network; Voltage","score_opus":0.004752103974107226,"score_gpt":0.1691249029158986,"score_spread":0.16437279894179138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200160815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7010357,0.0031259041,0.2934207,0.00016806842,0.00036108747,0.00018565252,0.000016481346,0.00010102932,0.0015853624],"genre_scores_gemma":[0.99583983,0.0004394276,0.0029988235,0.00012224245,0.00013621784,0.000048482754,0.000040908064,0.00002216409,0.0003518837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912757,0.000013838377,0.00019008957,0.00022973066,0.00015782278,0.00028092385],"domain_scores_gemma":[0.9996908,0.00006429504,0.000021508524,0.00015740417,0.000005670257,0.00006037144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008278225,0.00013480564,0.00016952866,0.00006291586,0.00004952304,0.00001969571,0.00008428807,0.00009882507,0.00010404815],"category_scores_gemma":[0.00001766422,0.00014730032,0.00005731579,0.00013635997,0.000018328621,0.00011123361,0.000022503596,0.00011262757,0.0000065244153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030071333,0.000114917384,0.00066793076,0.000018673132,0.000026599024,0.000030585186,0.00011408546,0.800948,0.18963864,0.0014827462,0.00037084988,0.006556878],"study_design_scores_gemma":[0.0028665336,0.000114143666,0.013894043,0.000039106915,0.000024303934,0.000024667737,0.000055533314,0.63294315,0.040824078,0.0004215312,0.30823436,0.0005585743],"about_ca_topic_score_codex":0.000050378923,"about_ca_topic_score_gemma":0.000110522866,"teacher_disagreement_score":0.3078635,"about_ca_system_score_codex":0.0001649799,"about_ca_system_score_gemma":0.000019041176,"threshold_uncertainty_score":0.60067326},"labels":[],"label_agreement":null},{"id":"W4200166817","doi":"10.1109/tsg.2021.3107972","title":"Optimal Coding Schemes for Detecting False Data Injection Attacks in Power System State Estimation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Fund for Distinguished Young Scholars; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Coding (social sciences); Computer science; Real-time computing; Engineering; Mathematics; Statistics","score_opus":0.024414102335320893,"score_gpt":0.263049471525667,"score_spread":0.23863536919034609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200166817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31984165,0.00007487359,0.6767289,0.000022466975,0.0026704313,0.00020751865,0.00013620402,0.0002563461,0.00006159808],"genre_scores_gemma":[0.9937453,0.000039278253,0.00594243,0.000014636889,0.000079361096,0.00007019078,0.00003683838,0.00003650338,0.000035420228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875385,0.00004285797,0.00035007217,0.00036472356,0.00018023165,0.00030825558],"domain_scores_gemma":[0.9992125,0.00018106255,0.00003797449,0.0004338147,0.000066809676,0.000067835135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029819802,0.00018123684,0.00020769566,0.00019087206,0.00022416277,0.00008273557,0.00017220752,0.00010746524,0.000013756732],"category_scores_gemma":[0.000025359586,0.00020412846,0.000067486246,0.00041233664,0.00002546836,0.000499684,0.0000036922042,0.00032919252,0.000022772812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042721018,0.00005006157,0.00004696541,0.00024570184,0.000040671115,0.000014059535,0.00043094845,0.98759943,0.0055406145,0.000011518821,0.00012627397,0.005851007],"study_design_scores_gemma":[0.0005477863,0.000056869027,0.00013763366,0.00024162907,0.00002684976,0.0000702054,0.0006352096,0.874453,0.12228293,0.0000040730265,0.0012983829,0.00024544142],"about_ca_topic_score_codex":0.000029981327,"about_ca_topic_score_gemma":0.00034635607,"teacher_disagreement_score":0.6739037,"about_ca_system_score_codex":0.00017830035,"about_ca_system_score_gemma":0.000047735044,"threshold_uncertainty_score":0.8324117},"labels":[],"label_agreement":null},{"id":"W4200349994","doi":"10.1016/j.epsr.2021.107732","title":"Design of AC state estimation based cyber-physical attack for disrupting electricity market operation under limited sensor information","year":2021,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Cyber-physical system; Cyber-attack; Benchmark (surveying); Vulnerability (computing); Smart grid; Computer security; Electricity; Computer science; Electricity market; Grid; Engineering; Electrical engineering","score_opus":0.04068784371099798,"score_gpt":0.3201240715964473,"score_spread":0.2794362278854493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200349994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20167303,0.00029629908,0.796252,0.00005775175,0.00020545506,0.00097033195,0.000015735004,0.000104256666,0.00042512998],"genre_scores_gemma":[0.9984267,0.00004159973,0.0011107038,0.000011217716,0.00004551638,0.00014129274,0.000054697546,0.000023674067,0.00014462681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975423,0.0004965938,0.0004455419,0.00020392486,0.0007398056,0.0005718032],"domain_scores_gemma":[0.9975545,0.0012609311,0.00006914023,0.00026369482,0.0007588551,0.000092926886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015976686,0.00015525427,0.00026533927,0.00042234437,0.00020278904,0.00018076978,0.00016288226,0.00011571135,0.000011835984],"category_scores_gemma":[0.0006924102,0.00015042862,0.00006231269,0.0015774821,0.000029218887,0.0005250942,0.000022669046,0.00036716144,0.000023845787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010283606,0.00007344919,0.000031145228,0.00043715735,0.00004685858,0.0000033231674,0.0005944313,0.94055134,0.053597312,0.00013878393,0.0031561826,0.0012671904],"study_design_scores_gemma":[0.00041620916,0.00017818835,0.00040310275,0.00006433061,0.000007412075,0.0000084552785,0.00010445194,0.93187404,0.06628139,0.000029598114,0.00048434362,0.00014850342],"about_ca_topic_score_codex":0.000027151948,"about_ca_topic_score_gemma":0.0000032256341,"teacher_disagreement_score":0.79675364,"about_ca_system_score_codex":0.00028987508,"about_ca_system_score_gemma":0.0002970913,"threshold_uncertainty_score":0.6134301},"labels":[],"label_agreement":null},{"id":"W4200431430","doi":"10.1109/iscc53001.2021.9631258","title":"Anonymous Authentication Protocol for Efficient Communications in Vehicle to Grid Networks","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Symposium on Computers and Communications (ISCC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Authentication (law); Public key infrastructure; Computer security; Anonymity; Protocol (science); Confidentiality; Computer network; Cryptographic protocol; Vehicle-to-grid; Grid; Message authentication code; Cryptography; Public-key cryptography; Electric vehicle; Power (physics)","score_opus":0.022121651485659637,"score_gpt":0.2835670723767791,"score_spread":0.26144542089111944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200431430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13209204,0.0024588357,0.54417485,0.06419866,0.0056235613,0.2296505,0.0003145679,0.0014314204,0.020055564],"genre_scores_gemma":[0.8841538,0.00045238202,0.021502696,0.0006894479,0.00023534632,0.09264051,0.00013605852,0.000061103696,0.00012869631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881756,0.00014379702,0.00037267784,0.00027198554,0.00012233252,0.00027166924],"domain_scores_gemma":[0.99718446,0.00040316864,0.00004622009,0.002130481,0.000116901385,0.000118789714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002311709,0.00017376988,0.00020537086,0.00014035913,0.00035573664,0.00012857027,0.0009221474,0.00009324428,0.000006406361],"category_scores_gemma":[0.000015987045,0.00018720487,0.000068010195,0.0005509577,0.00011016858,0.000064423475,0.00034308594,0.00028468165,0.000016265049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047966892,0.0010817433,0.00042154145,0.00014228097,0.00006281436,0.0000035198316,0.0034697358,0.9553071,0.0079816105,0.010293324,0.007900259,0.013288072],"study_design_scores_gemma":[0.0006712427,0.00007423739,0.0009711522,0.0002096427,0.000011213643,0.0000062050894,0.00012871415,0.9542168,0.0010578961,0.000055157852,0.042362597,0.00023515125],"about_ca_topic_score_codex":0.000015528525,"about_ca_topic_score_gemma":0.00016043246,"teacher_disagreement_score":0.7520617,"about_ca_system_score_codex":0.00008887104,"about_ca_system_score_gemma":0.000045031655,"threshold_uncertainty_score":0.7633993},"labels":[],"label_agreement":null},{"id":"W4205103003","doi":"10.1109/tii.2021.3132131","title":"Detection of Malicious Attacks in Autonomous Cyber-Physical Inverter-Based Microgrids","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cyber-physical system; Computer security; Computer science; Software deployment; Cyber-attack; Resilience (materials science); Smart grid; Electric power system; Distributed computing; Engineering; Power (physics)","score_opus":0.020880095688272576,"score_gpt":0.2291245426416581,"score_spread":0.20824444695338554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205103003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87646973,0.000012203274,0.12144762,0.000025602294,0.0013918086,0.00016086042,0.00004329287,0.000113452996,0.00033541975],"genre_scores_gemma":[0.9996064,0.00001821744,0.00017722888,0.00005049329,0.00009041722,0.000020104075,0.0000049867185,0.000014494332,0.000017707845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989841,0.000031935026,0.0005031003,0.00007723825,0.00018371933,0.00021993472],"domain_scores_gemma":[0.9995083,0.000103908525,0.000054151416,0.00021609572,0.000047837326,0.00006968051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009033976,0.00015495282,0.00024595793,0.00020848731,0.00005694504,0.000028389315,0.000109534485,0.00024818032,0.000023244924],"category_scores_gemma":[0.000008367048,0.00016481026,0.000114722796,0.0005513965,0.000064218315,0.0001979789,0.000001092514,0.00060604926,0.000026503529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004556895,0.00031304013,0.000034384226,0.00010135783,0.00004312215,0.000008028267,0.0018750096,0.93876183,0.014391662,0.000008443077,0.00010110484,0.04431644],"study_design_scores_gemma":[0.0009795424,0.000117651885,0.000033992295,0.00007198286,0.000022779324,0.000010848591,0.00033419524,0.36949137,0.628008,0.000009225434,0.00076080026,0.0001596383],"about_ca_topic_score_codex":0.000042086784,"about_ca_topic_score_gemma":0.00014645854,"teacher_disagreement_score":0.61361635,"about_ca_system_score_codex":0.00013408723,"about_ca_system_score_gemma":0.00011141781,"threshold_uncertainty_score":0.67207676},"labels":[],"label_agreement":null},{"id":"W4205859290","doi":"10.1109/tcns.2022.3140692","title":"Undetectable Finite-Time Covert Attack on Constrained Cyber-Physical Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Computer security","score_opus":0.01089087937412053,"score_gpt":0.20650952897806424,"score_spread":0.1956186496039437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205859290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.100737825,0.0027679447,0.85689074,0.00013727252,0.022899985,0.0032815372,0.0013919894,0.0013216313,0.010571047],"genre_scores_gemma":[0.9982844,0.000019581004,0.0000066139555,0.00005306224,0.0005188136,0.0003055083,0.0000058243468,0.000053237007,0.0007529435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784434,0.00027139735,0.00050642784,0.00030627626,0.0005573777,0.00051418337],"domain_scores_gemma":[0.9982501,0.0010367875,0.0001101306,0.00041713315,0.000052948435,0.00013284871],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033663012,0.00029555944,0.0006717455,0.00013995414,0.00036666237,0.000052162988,0.00028925517,0.000107327636,0.00009862282],"category_scores_gemma":[0.0000047114245,0.00029647505,0.00023697333,0.0004665719,0.00008278232,0.00009179101,0.0000017933503,0.0005714036,0.000106576896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017799357,0.00015137317,0.00000506622,0.00011671644,0.0002445789,0.000015180667,0.000108893626,0.9945239,0.001649815,0.00016181706,0.0025814539,0.00026323955],"study_design_scores_gemma":[0.0014858886,0.00058450084,0.000008493781,0.00015951224,0.00008239465,0.000033714256,0.00020044761,0.98918414,0.00025574048,0.0000053343833,0.0076983594,0.0003014781],"about_ca_topic_score_codex":0.000055071872,"about_ca_topic_score_gemma":0.0000078514495,"teacher_disagreement_score":0.8975466,"about_ca_system_score_codex":0.00019935872,"about_ca_system_score_gemma":0.000053876058,"threshold_uncertainty_score":0.99994874},"labels":[],"label_agreement":null},{"id":"W4206782180","doi":"10.1007/s11768-021-00072-w","title":"Adaptive output regulation for cyber-physical systems under time-delay attacks","year":2022,"lang":"en","type":"article","venue":"Control Theory and Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Cyber-physical system; Controller (irrigation); Reinforcement learning; Computer science; Stability (learning theory); Convergence (economics); Channel (broadcasting); Actuator; Control (management); Computational intelligence; Control engineering; Engineering; Artificial intelligence; Machine learning; Telecommunications","score_opus":0.005134515509037816,"score_gpt":0.1984611373733578,"score_spread":0.19332662186431998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206782180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.689778,0.00539789,0.29795274,0.00083422736,0.001161847,0.0013493953,0.00015181865,0.0014213303,0.0019528007],"genre_scores_gemma":[0.9991487,0.000006536868,0.000020771262,0.000032413456,0.00009920515,0.00024283437,0.0000065154777,0.000016383976,0.00042662158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940723,0.00007144009,0.00010740937,0.00016365855,0.000064496155,0.00018576725],"domain_scores_gemma":[0.9994772,0.0002895786,0.000026621237,0.00015577523,0.000025534917,0.00002528175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026398234,0.0001010591,0.0001909787,0.00011592213,0.00020827014,0.000010396563,0.00012329414,0.0000987491,0.000015650148],"category_scores_gemma":[0.0000265581,0.00009600446,0.000035429162,0.00013892305,0.00013168996,0.00004588953,0.00004176417,0.0001994444,0.000009823055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018359274,0.000039277642,0.000026465686,0.000019846724,0.000103241255,0.0000043074087,0.00017466175,0.076469846,0.006014821,0.91232735,0.00081188866,0.0038246815],"study_design_scores_gemma":[0.0015979713,0.00038659756,0.00008718227,0.000014641825,0.000066695546,0.00006981095,0.0008837744,0.7276834,0.00065162074,0.25492108,0.013369787,0.00026742206],"about_ca_topic_score_codex":5.56453e-7,"about_ca_topic_score_gemma":4.2744273e-7,"teacher_disagreement_score":0.6574063,"about_ca_system_score_codex":0.00003642522,"about_ca_system_score_gemma":0.000008875526,"threshold_uncertainty_score":0.39149484},"labels":[],"label_agreement":null},{"id":"W4210315416","doi":"10.1038/s41598-022-05690-1","title":"Cyber-physical defense in the quantum Era","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; European Commission","keywords":"Cyber-physical system; Computer science; Computer security; Hacker; Quantum computer; Adversarial system; Quantum; Physical system; Cryptography; Artificial intelligence","score_opus":0.008879741537562802,"score_gpt":0.2151160475172856,"score_spread":0.2062363059797228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210315416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98827296,0.00015209721,0.000022944569,0.00011602653,0.0074377423,0.00013102024,0.000001500646,0.00007698908,0.0037887122],"genre_scores_gemma":[0.9996066,0.0000012865069,0.000012371036,0.00003190195,0.00007358931,0.000043267897,0.000008958607,0.000007380035,0.00021460633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879384,0.000053647407,0.00018049825,0.00026213925,0.0004827054,0.0002271746],"domain_scores_gemma":[0.99937946,0.00004470651,0.000027759332,0.00050303584,0.00001203792,0.000032974607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010101119,0.000072139315,0.000084156905,0.00008694444,0.0003500422,0.00010044394,0.00019821107,0.000014340514,0.000070368806],"category_scores_gemma":[0.000034303688,0.00005438225,0.000057157366,0.0006545271,0.00009969217,0.000074521085,0.00006747741,0.00029077794,0.000020584519],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016796457,0.00078505324,0.012020306,0.00010195135,0.00003375827,0.011242154,0.06105053,0.49663228,0.040904954,0.013992169,0.3594551,0.0037649404],"study_design_scores_gemma":[0.00023548547,0.00007386279,0.015850218,0.00002274414,0.000019888445,0.0025849177,0.0047861934,0.13042797,0.0049621696,0.051630847,0.78876895,0.000636749],"about_ca_topic_score_codex":0.000017812368,"about_ca_topic_score_gemma":0.0000243678,"teacher_disagreement_score":0.42931387,"about_ca_system_score_codex":0.000039022365,"about_ca_system_score_gemma":0.0000338231,"threshold_uncertainty_score":0.26922768},"labels":[],"label_agreement":null},{"id":"W4210328861","doi":"10.1109/tsg.2020.3002310","title":"IEEE Transactions on Smart Grid publication information","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Universidad de Castilla-La Mancha; Natural Resources Canada; Iowa State University; Washington State University","keywords":"Smart grid; Computer science; Grid; Engineering; Electrical engineering","score_opus":0.014375078628996488,"score_gpt":0.20566043800358036,"score_spread":0.19128535937458388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210328861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021616055,0.000032297154,0.96100456,0.0028313927,0.00882362,0.00063364854,0.0004637403,0.0013967771,0.0031979354],"genre_scores_gemma":[0.9963828,0.00027253924,0.00039088388,0.0019386495,0.0005156431,0.00021618098,0.0000592928,0.00005832629,0.00016572695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979045,0.00006279994,0.00062226865,0.00036543154,0.0005478702,0.0004971263],"domain_scores_gemma":[0.9987992,0.00012548128,0.00007768462,0.00046252133,0.00014906407,0.00038604782],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016590215,0.0004001466,0.0003149276,0.000368578,0.0004606541,0.00017923673,0.00034969687,0.00027417552,0.00056324445],"category_scores_gemma":[0.0000099911895,0.00041748094,0.00026738664,0.00094002817,0.000093007584,0.0014932646,5.2854335e-7,0.00091501826,0.0023115382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023131886,0.0003397186,0.00001716204,0.00026701574,0.00020979026,0.000006945078,0.0034585902,0.91849625,0.003773456,0.00006857292,0.032036863,0.0410943],"study_design_scores_gemma":[0.0023359654,0.00084041676,0.0006312889,0.00015593893,0.00021957721,0.000060412396,0.0005595638,0.35281995,0.30502772,0.000035012672,0.3357329,0.0015812314],"about_ca_topic_score_codex":0.000058317477,"about_ca_topic_score_gemma":0.000083091494,"teacher_disagreement_score":0.97476673,"about_ca_system_score_codex":0.00016517726,"about_ca_system_score_gemma":0.000068920686,"threshold_uncertainty_score":0.9998277},"labels":[],"label_agreement":null},{"id":"W4210674468","doi":"10.1109/prdc53464.2021.00026","title":"Are you for Real? Authentication in Dynamic IoT Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Drone; Denial-of-service attack; Cyber-physical system; Authentication (law); Computer security; Exploit; Stability (learning theory); Distributed computing; The Internet; Operating system; Machine learning","score_opus":0.010013349574633708,"score_gpt":0.2328473319598022,"score_spread":0.2228339823851685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210674468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890405,0.00057828776,0.0069247093,0.00016702247,0.0007998733,0.00016180873,0.000008266886,0.00013985606,0.0021796876],"genre_scores_gemma":[0.99874365,0.00004991426,0.00020378595,0.000010784763,0.00003360257,0.000029109035,0.000007774942,0.0000075321564,0.0009138254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996586,0.0000074412055,0.00009958318,0.00008522407,0.000046811245,0.00010233259],"domain_scores_gemma":[0.9998061,0.00002903072,0.000011208853,0.00011107811,0.000022346345,0.000020242403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055698918,0.000042881093,0.00006958747,0.000029988782,0.000016656919,0.000016711514,0.00004495083,0.000043166314,0.000011153171],"category_scores_gemma":[0.000024911049,0.000040692645,0.000018926656,0.000102854836,0.000006395284,0.000017255312,0.000006763554,0.00003915558,0.000015082041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032251417,0.00035489385,0.034114003,0.004917989,0.00013840552,0.00013113918,0.0064604376,0.7492526,0.1178732,0.07093839,0.010484479,0.0053022066],"study_design_scores_gemma":[0.00017091684,0.0000043421187,0.027980248,0.00006854705,0.0000044496473,0.00000558371,0.0009844605,0.9661215,0.0017240416,0.00016335164,0.0026729514,0.00009961956],"about_ca_topic_score_codex":0.000020165795,"about_ca_topic_score_gemma":0.00038048794,"teacher_disagreement_score":0.21686889,"about_ca_system_score_codex":0.00003963921,"about_ca_system_score_gemma":0.0000073429956,"threshold_uncertainty_score":0.16593978},"labels":[],"label_agreement":null},{"id":"W4212926081","doi":"10.1109/jetcas.2022.3151645","title":"Incomplete Information Stochastic Game Theoretic Vulnerability Management for Wide-Area Damping Control Against Cyber Attacks","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vulnerability (computing); Game theory; Complete information; Control (management); Computer security; Computer science; Stochastic process; Mathematical economics; Economics; Mathematics; Statistics; Artificial intelligence","score_opus":0.013095371016429162,"score_gpt":0.2291144728826122,"score_spread":0.21601910186618303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212926081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9331695,0.0005942334,0.06306927,0.00012956686,0.0019394511,0.0005187017,0.0000253358,0.00005274736,0.00050121854],"genre_scores_gemma":[0.9994688,0.00015184908,0.0000088579245,0.00011631742,0.00014579736,0.00006466122,0.000009094308,0.000010837039,0.000023780896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987893,0.00011457769,0.00045034813,0.00013260297,0.00023884166,0.00027430206],"domain_scores_gemma":[0.9994818,0.00018125687,0.00009027871,0.00010041742,0.00006671614,0.00007953363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070018426,0.00014438391,0.00024481982,0.00021928755,0.00037984923,0.00013504911,0.000104814164,0.00004807095,0.000004186546],"category_scores_gemma":[0.000054232638,0.00013194761,0.000034855722,0.00020228326,0.00002791677,0.00015926028,0.000014446408,0.00045755412,3.697915e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000268979,0.000026665497,0.0015964031,0.00038625146,0.00008070317,0.000011160204,0.002783301,0.98478293,0.00012760726,0.0028586714,0.000287426,0.0070320005],"study_design_scores_gemma":[0.0021216867,0.0001959192,0.0063016107,0.00026940004,0.000033505767,0.00013091811,0.0012142006,0.97687656,0.000010612129,0.0008123348,0.0116884485,0.00034483397],"about_ca_topic_score_codex":0.0000068138406,"about_ca_topic_score_gemma":0.0000050377703,"teacher_disagreement_score":0.06629933,"about_ca_system_score_codex":0.00013421908,"about_ca_system_score_gemma":0.000013656178,"threshold_uncertainty_score":0.53806674},"labels":[],"label_agreement":null},{"id":"W4213003028","doi":"10.1007/978-3-030-72322-4_81-1","title":"Reliability Analysis of Smart Grids Using Formal Methods","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Computer science; Engineering; Physics","score_opus":0.0248494981143471,"score_gpt":0.28651623535028836,"score_spread":0.26166673723594125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213003028","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007070174,0.0021331895,0.23977117,0.000008559004,0.0013796451,0.00018739817,0.00007884244,0.00023149134,0.74913955],"genre_scores_gemma":[0.09620437,0.0033654387,0.5141913,0.00019500917,0.0010861418,0.000017045237,0.00044402396,0.00038262538,0.384114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873525,0.0000267513,0.00050139835,0.0002770179,0.00023270694,0.00022687824],"domain_scores_gemma":[0.999005,0.00015709912,0.00006971692,0.0005686131,0.00012206428,0.000077510755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048115727,0.0002580976,0.00077466527,0.00034378862,0.000043587486,0.000016075712,0.00018331267,0.00038011017,0.0016397049],"category_scores_gemma":[0.000038533995,0.00023704105,0.0005842241,0.00023677287,0.00009516517,0.00011711014,0.00010652478,0.0003519693,0.0000048617394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003953245,0.0000680901,0.00061020313,0.001939588,0.0108352965,0.00006027294,0.00081037503,0.8220506,0.0058144825,0.13759549,0.0010114976,0.019164624],"study_design_scores_gemma":[0.00021594805,0.000059686095,0.0013233526,0.0002476058,0.0064766407,0.000015278243,0.000085217114,0.8503634,0.011295459,0.0021682894,0.12646225,0.0012869147],"about_ca_topic_score_codex":0.00004703044,"about_ca_topic_score_gemma":0.000085210886,"teacher_disagreement_score":0.36502552,"about_ca_system_score_codex":0.00008006807,"about_ca_system_score_gemma":0.00004474814,"threshold_uncertainty_score":0.99927294},"labels":[],"label_agreement":null},{"id":"W4213451045","doi":"10.1049/stg2.12059","title":"Vulnerability assessment and defence strategy to site distributed generation in smart grid","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Vulnerability (computing); Computer science; Vulnerability assessment; Smart grid; Grid; Computer security; Greedy algorithm; Distributed computing; Engineering; Algorithm; Mathematics","score_opus":0.018233497418720927,"score_gpt":0.26068886339631125,"score_spread":0.24245536597759032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213451045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99443895,0.0001859742,0.0019872186,0.00034889168,0.0018502326,0.00037533528,0.00040599518,0.00013769652,0.00026970726],"genre_scores_gemma":[0.99854654,0.00004087326,0.00027601412,0.00016239588,0.0003581528,0.00018660667,0.0003922742,0.000018635854,0.000018476856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99843174,0.00014270851,0.00032938833,0.0003977729,0.00032409225,0.0003742872],"domain_scores_gemma":[0.9994099,0.000066409,0.000028504865,0.0003091628,0.00003111252,0.0001548742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053888425,0.00019692697,0.00022220018,0.00010721181,0.0002673725,0.00007403382,0.00018016862,0.000059419075,0.00015134158],"category_scores_gemma":[0.000028789436,0.00021278112,0.00004336436,0.0004234171,0.000043445725,0.00018643659,0.00016099245,0.0004584332,0.000015891545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030849103,0.00016986746,0.14012513,0.00008322479,0.000022300655,0.00005611475,0.00084789406,0.8117155,0.0166533,0.000402772,0.028291965,0.0016010903],"study_design_scores_gemma":[0.0008470802,0.0004524368,0.64646846,0.000021767853,0.000020939844,0.00005204858,0.00033517816,0.28902254,0.0036041467,0.0002195637,0.05817147,0.0007844032],"about_ca_topic_score_codex":0.00020714932,"about_ca_topic_score_gemma":0.0009551652,"teacher_disagreement_score":0.522693,"about_ca_system_score_codex":0.00028617654,"about_ca_system_score_gemma":0.000056531728,"threshold_uncertainty_score":0.86769617},"labels":[],"label_agreement":null},{"id":"W4214632064","doi":"10.3390/en15051785","title":"Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; King Saud University","keywords":"IEC 61850; Testbed; Interoperability; Embedded system; Operating system; Engineering; Computer science; Computer network; Automation","score_opus":0.01443326525886848,"score_gpt":0.19023098140077527,"score_spread":0.17579771614190678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214632064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880785,0.00021840438,0.00046540372,0.000008123499,0.00011744084,0.000046268873,0.000013569552,0.000090588,0.00023232719],"genre_scores_gemma":[0.9976854,0.0000015131365,0.002235659,0.000006154961,0.000009019117,0.000024046953,0.000013665965,0.0000072997204,0.000017263073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956554,0.0000150284095,0.00012775617,0.0000950345,0.00010881437,0.00008785258],"domain_scores_gemma":[0.99977237,0.000099594676,0.00001804507,0.000065689375,0.000024049516,0.000020222227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006785455,0.00006454963,0.000080125596,0.000043834174,0.00009194958,0.000018327062,0.00006272777,0.00001118289,0.000013471873],"category_scores_gemma":[0.000065069915,0.000063113344,0.000013805092,0.000108765824,0.000042860935,0.000092677736,0.000050049064,0.000071656126,7.151487e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022261704,0.00005483078,0.043288678,0.00017695298,0.000020772442,0.0000075035236,0.007426574,0.9050853,0.010281171,0.00007190677,0.00006270521,0.03350132],"study_design_scores_gemma":[0.0013213408,0.0002208555,0.23785897,0.0001459589,0.000014449055,0.000016810758,0.008889686,0.32066494,0.40818402,0.000102465536,0.021903338,0.0006771709],"about_ca_topic_score_codex":0.000013225773,"about_ca_topic_score_gemma":0.00000985944,"teacher_disagreement_score":0.5844204,"about_ca_system_score_codex":0.00004188444,"about_ca_system_score_gemma":0.000023553299,"threshold_uncertainty_score":0.25736874},"labels":[],"label_agreement":null},{"id":"W4220654386","doi":"10.1049/stg2.12062","title":"Cascading verification initiated by switching attacks through compromised digital relays","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Water Security Agency","funders":"","keywords":"Relay; Circuit breaker; Computer science; Enumeration; Digital protective relay; Computation; Process (computing); Protective relay; Reliability engineering; Engineering; Electrical engineering; Power (physics); Mathematics; Operating system; Algorithm","score_opus":0.01579971404768745,"score_gpt":0.2187923547477701,"score_spread":0.20299264070008263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220654386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97937393,0.0006069833,0.004193945,0.00023761122,0.0034990686,0.0003929112,0.00023479205,0.0007738388,0.010686895],"genre_scores_gemma":[0.9989135,0.000048683014,0.00010383672,0.00015546748,0.0002384772,0.000096600896,0.0003222878,0.000044682394,0.00007640842],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987543,0.000041406598,0.00028624362,0.0002749267,0.0003006425,0.00034248113],"domain_scores_gemma":[0.99948573,0.00008543563,0.000049916514,0.0002811087,0.00002155878,0.00007623849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014693715,0.00018633595,0.00018636118,0.00005594337,0.00045646165,0.00010398334,0.00028458715,0.00006632843,0.0001405918],"category_scores_gemma":[0.000027955897,0.00020878334,0.000076620185,0.00033381305,0.000034116438,0.0004915477,0.00009920361,0.00050452555,0.00008737933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002025797,0.000524891,0.014144427,0.00034127076,0.0003563574,0.00020866266,0.01976676,0.17043696,0.1580789,0.0012836476,0.63031656,0.004338976],"study_design_scores_gemma":[0.0015368558,0.0001739257,0.0025748182,0.00005580825,0.000036977144,0.00015166737,0.0014748691,0.09897472,0.015018559,0.0003352378,0.87864804,0.0010185321],"about_ca_topic_score_codex":0.000030326997,"about_ca_topic_score_gemma":0.0000039873416,"teacher_disagreement_score":0.24833146,"about_ca_system_score_codex":0.00014812638,"about_ca_system_score_gemma":0.000020799356,"threshold_uncertainty_score":0.85139376},"labels":[],"label_agreement":null},{"id":"W4220750544","doi":"10.3390/en15062288","title":"State Estimation Fusion for Linear Microgrids over an Unreliable Network","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Agencia Estatal de Investigación; Universidad Carlos III de Madrid; Ministerio de Ciencia e Innovación; Comunidad de Madrid","keywords":"Computer science; Network packet; Lossy compression; Kalman filter; Linear regression; Packet loss; Mean squared error; Perceptron; Random forest; Sensor fusion; Multilayer perceptron; Fusion; Data mining; Real-time computing; Artificial intelligence; Machine learning; Artificial neural network; Statistics; Mathematics; Computer network","score_opus":0.0065546751571475895,"score_gpt":0.2208415645724579,"score_spread":0.21428688941531032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220750544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98841554,0.0008341096,0.008656115,0.000023209026,0.0015014483,0.00010618719,0.000020479589,0.00026945438,0.000173484],"genre_scores_gemma":[0.98519254,0.00016328318,0.0134109175,0.00009940451,0.0003350847,0.00010959714,0.00012819533,0.000033508997,0.0005274565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948376,0.00001560611,0.00010217145,0.000105753665,0.0001025616,0.00019012274],"domain_scores_gemma":[0.9997767,0.000043770848,0.000015005188,0.00012215147,0.000011714181,0.000030640327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012257429,0.00007539885,0.000076497425,0.00003223423,0.00024719586,0.000021773343,0.00010504115,0.000021219006,0.00008194274],"category_scores_gemma":[0.0000073127017,0.0000771943,0.000030131427,0.00013141285,0.000015415979,0.00012708164,0.000047211208,0.000084733154,0.0000037129191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000136718445,0.000012453345,0.00009144234,0.000020338326,0.00000574048,0.0000011584461,0.0003254923,0.9827279,0.002387589,0.0003093047,0.0118982345,0.002206706],"study_design_scores_gemma":[0.00016278966,0.00007299192,0.00044724476,0.0000070951473,0.000004960477,0.0000021023047,0.00007169245,0.8674949,0.004696812,0.00070185616,0.12621972,0.000117843905],"about_ca_topic_score_codex":0.00003098503,"about_ca_topic_score_gemma":0.000015048051,"teacher_disagreement_score":0.11523297,"about_ca_system_score_codex":0.00003256747,"about_ca_system_score_gemma":0.000011291396,"threshold_uncertainty_score":0.3147892},"labels":[],"label_agreement":null},{"id":"W4220799614","doi":"10.3390/s22072644","title":"Resilient Consensus Control Design for DC Microgrids against False Data Injection Attacks Using a Distributed Bank of Sliding Mode Observers","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Microgrid; Converters; Mode (computer interface); Control theory (sociology); Computer science; Engineering; Voltage; Control (management); Artificial intelligence","score_opus":0.05552465189172685,"score_gpt":0.27648250338540664,"score_spread":0.2209578514936798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220799614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95928925,0.000368964,0.03658018,0.00004560817,0.00080312236,0.0006100563,0.002147018,0.00014221655,0.000013568231],"genre_scores_gemma":[0.9972915,0.00002396472,0.0022675367,0.000026249187,0.000079693455,0.000019782126,0.00024785486,0.000034570243,0.000008816799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985575,0.00016086524,0.0003681697,0.00032231575,0.00023208409,0.0003590362],"domain_scores_gemma":[0.9989154,0.0003614511,0.00009492616,0.00048848864,0.000064928834,0.00007482699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046952107,0.00017940934,0.00028096518,0.000113129936,0.0002948721,0.000022288817,0.00031703082,0.000072374016,0.000006473159],"category_scores_gemma":[0.00018326836,0.0002002572,0.00008582897,0.0003196998,0.00006159203,0.00006645257,0.00011014373,0.0002187318,9.944662e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016628897,0.000035059584,0.00034501418,0.00007653362,0.00007502079,0.000011855989,0.00031685084,0.91938925,0.07791966,0.000027726011,0.0014832087,0.00015350757],"study_design_scores_gemma":[0.0010191497,0.00008555544,0.00016212136,0.000031843167,0.00006367748,0.000028487082,0.0012058758,0.97802925,0.017146789,0.00002059982,0.0019801166,0.00022654876],"about_ca_topic_score_codex":0.00008557016,"about_ca_topic_score_gemma":0.000023364038,"teacher_disagreement_score":0.06077287,"about_ca_system_score_codex":0.00019973879,"about_ca_system_score_gemma":0.000059370042,"threshold_uncertainty_score":0.8166252},"labels":[],"label_agreement":null},{"id":"W4220954143","doi":"10.3390/en15030828","title":"Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Quality (philosophy); Comprehension; Renewable energy; Observability; Engineering management; Systems engineering; Risk analysis (engineering); Telecommunications; Engineering; Business; Electrical engineering","score_opus":0.03892611189345847,"score_gpt":0.311236992578651,"score_spread":0.27231088068519255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220954143","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000036863894,0.9920466,0.0055175237,0.00003268919,0.0011914999,0.0007450576,0.00022873559,0.00015789116,0.000043114862],"genre_scores_gemma":[0.00007156026,0.9938712,0.00015240749,0.000045725625,0.00040275767,0.000884429,0.004463034,0.000032369564,0.000076480974],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862874,0.00015278776,0.0005022235,0.00029607458,0.000174134,0.00024603767],"domain_scores_gemma":[0.99929094,0.00026775655,0.00012053184,0.00024769513,0.00003097765,0.000042118525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006248629,0.0002724673,0.0008774106,0.000027105247,0.00026679545,0.000056565605,0.00015130678,0.00013995537,0.000051302828],"category_scores_gemma":[0.00012865274,0.00023673767,0.00015852432,0.00020462449,0.00004062835,0.00013653084,0.00006640634,0.00020264827,0.0000032177845],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039560086,0.000014420606,0.0000034324637,0.09567009,0.000090558795,0.0000022539757,0.000046284473,0.016649526,5.991716e-7,0.013796377,0.033772938,0.83994955],"study_design_scores_gemma":[0.00008751518,0.00001806609,0.000025742222,0.007971671,0.00021081006,0.0000086229575,0.0000064518367,0.00044144513,0.0000020104328,0.00015458492,0.99077904,0.00029401656],"about_ca_topic_score_codex":0.000036217916,"about_ca_topic_score_gemma":0.00003582503,"teacher_disagreement_score":0.9570061,"about_ca_system_score_codex":0.00015290715,"about_ca_system_score_gemma":0.00007964026,"threshold_uncertainty_score":0.9653882},"labels":[],"label_agreement":null},{"id":"W4225329217","doi":"10.36227/techrxiv.19398449.v1","title":"Multi-Layer Defense Algorithm Against Deep Reinforcement Learning-based Intruders in Smart Grids","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reinforcement learning; Computer science; Layer (electronics); Reinforcement; Smart grid; Artificial intelligence; Distributed computing; Algorithm; Engineering; Materials science; Electrical engineering; Nanotechnology; Structural engineering","score_opus":0.015369080947311575,"score_gpt":0.2362057251750786,"score_spread":0.22083664422776703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225329217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13379744,0.0020725797,0.8334498,0.00027229186,0.009104632,0.0022447745,0.000025669317,0.002463702,0.016569123],"genre_scores_gemma":[0.982412,0.00069916114,0.014312122,0.0004950234,0.00020677304,0.00044267563,0.0004974998,0.0001299955,0.00080476684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757445,0.000119018514,0.0006070243,0.00058666646,0.00049286743,0.00061995164],"domain_scores_gemma":[0.99903536,0.00010441864,0.00008165279,0.00056859397,0.00004419049,0.00016580959],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043575035,0.00050333206,0.00047299688,0.00045279288,0.0001409112,0.00008255965,0.0005449477,0.00037684667,0.00094262493],"category_scores_gemma":[0.000071864495,0.0005314643,0.0002172002,0.00032419778,0.00007596515,0.000075072094,0.0006143165,0.0024722372,0.00007786524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010898332,0.00005419421,0.00071987906,0.00021401206,0.00005119123,0.00008940899,0.000812406,0.9937776,0.00008801137,0.000012534627,0.00047017957,0.003699713],"study_design_scores_gemma":[0.00081804075,0.00004168725,0.0010659292,0.00008611798,0.000016514246,0.0000020355255,0.0005364591,0.98488206,0.00047681722,0.000013118034,0.011401256,0.00065993867],"about_ca_topic_score_codex":0.0003110222,"about_ca_topic_score_gemma":0.0005179872,"teacher_disagreement_score":0.8486145,"about_ca_system_score_codex":0.0005374418,"about_ca_system_score_gemma":0.00012465741,"threshold_uncertainty_score":0.9999707},"labels":[],"label_agreement":null},{"id":"W4225775465","doi":"10.1109/qrs54544.2021.00106","title":"Analyzing the Impact of Cyberattacks on Industrial Control Systems using Timed Automata","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exploit; Computer science; Industrial control system; Spoofing attack; Automaton; Computer security; Model checking; Critical infrastructure; Vulnerability (computing); Ransomware; Control (management); Malware; Theoretical computer science; Artificial intelligence","score_opus":0.057983503388506816,"score_gpt":0.33548058703050765,"score_spread":0.2774970836420008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225775465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919842,0.00023659974,0.0027084565,0.00033405406,0.002157403,0.00037035174,0.00083787524,0.0001213233,0.0012497648],"genre_scores_gemma":[0.99902344,0.000268984,0.00006563296,0.00004731373,0.0004492633,0.000018827639,0.000060767285,0.000021586413,0.000044186458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996952,0.0006273448,0.0008357504,0.00054488366,0.00068664574,0.0003533691],"domain_scores_gemma":[0.9973027,0.0010414955,0.00021048739,0.00065885455,0.000620674,0.0001657956],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012891988,0.0003565427,0.0006146236,0.00012497559,0.00020226749,0.00028019975,0.00049260614,0.00032653354,0.00032768428],"category_scores_gemma":[0.0011386451,0.00027826393,0.00029066685,0.00031495898,0.00028951842,0.00023960481,0.000089762936,0.0008431909,0.0000178282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017353883,0.0028778506,0.14690807,0.0012770047,0.0030934664,0.00013970422,0.009290051,0.7196962,0.010899285,0.091006525,0.0043659625,0.008710484],"study_design_scores_gemma":[0.0046660253,0.00054128026,0.019668031,0.0014238876,0.00016778005,0.00007999068,0.0021601282,0.95754075,0.0053284704,0.0062178066,0.00082425703,0.0013815679],"about_ca_topic_score_codex":0.0007933878,"about_ca_topic_score_gemma":0.000075102376,"teacher_disagreement_score":0.23784459,"about_ca_system_score_codex":0.00026598762,"about_ca_system_score_gemma":0.00030777158,"threshold_uncertainty_score":0.999967},"labels":[],"label_agreement":null},{"id":"W4225938315","doi":"10.1016/j.ijepes.2022.108167","title":"PMU placement with multi-objective optimization considering resilient communication infrastructure","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Computer science; Multi-objective optimization; Engineering","score_opus":0.004921351439424182,"score_gpt":0.20875407000441876,"score_spread":0.20383271856499457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225938315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15051906,0.00868191,0.83065706,0.0004071027,0.006240279,0.0003110665,0.000030570438,0.00015749676,0.0029954577],"genre_scores_gemma":[0.99804145,0.00018495065,0.0014916991,0.00006863732,0.000105278334,0.00001734534,0.000010818043,0.000019947656,0.00005984637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984013,0.00014057018,0.0004488861,0.00011086511,0.0007351087,0.00016326852],"domain_scores_gemma":[0.9991046,0.00011315125,0.00023613694,0.00013214398,0.0003384549,0.00007550562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022700905,0.00012980949,0.00018698366,0.00028581693,0.00012294075,0.00006815811,0.0004446791,0.00004502355,0.00006371478],"category_scores_gemma":[0.000042019197,0.00011155235,0.0000607283,0.00024784944,0.00003404702,0.00018250888,0.00007193032,0.0003944639,6.6487684e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001298315,0.000061033606,0.0004291002,0.0000027272235,0.00019915465,0.000045940076,0.00040859505,0.99522525,0.0005106459,0.0013334741,0.0015402748,0.00011398725],"study_design_scores_gemma":[0.0017985468,0.0005292181,0.0007678536,0.00010462244,0.00003195486,0.0016134382,0.0010593114,0.9602129,0.0014743501,0.00006342295,0.032033198,0.00031118107],"about_ca_topic_score_codex":0.000037637994,"about_ca_topic_score_gemma":0.000008164084,"teacher_disagreement_score":0.84752244,"about_ca_system_score_codex":0.00062614144,"about_ca_system_score_gemma":0.00008606281,"threshold_uncertainty_score":0.45489728},"labels":[],"label_agreement":null},{"id":"W4226185674","doi":"10.1016/b978-0-323-98826-1.00004-1","title":"Building as a smart system","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smart grid; Flexibility (engineering); Software deployment; Building automation; Electricity; Distributed generation; The Internet; Sustainability; Engineering; Telecommunications; Computer science; Architectural engineering; Renewable energy; Electrical engineering; World Wide Web","score_opus":0.0079464861120513,"score_gpt":0.20316453884023625,"score_spread":0.19521805272818496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226185674","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016994713,0.003155979,0.000013616306,0.000008142255,0.002604688,0.00036862562,0.00003170938,0.0007036506,0.99294364],"genre_scores_gemma":[0.0071558477,0.00016166853,0.0002477838,0.00007964279,0.00065635715,0.00008429946,0.000013479607,0.0001898213,0.9914111],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984794,0.000016951786,0.00036885357,0.00036329654,0.00042534556,0.00034614952],"domain_scores_gemma":[0.99919474,0.000053893957,0.00007102068,0.0005159526,0.000025609474,0.00013880577],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018271184,0.0004144669,0.00046665012,0.00018447799,0.00019085284,0.000048002308,0.00041768284,0.00026925022,0.00059854594],"category_scores_gemma":[0.000006436839,0.0004362874,0.00024428449,0.00001799723,0.00006523701,0.00004320192,0.00016976181,0.00085732504,0.00045319914],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000977861,0.000003884149,0.000001742469,0.0012542262,0.00025027897,0.0004890152,0.0004942974,0.0006308343,0.00015211268,0.23764664,0.0008573781,0.7582098],"study_design_scores_gemma":[0.00010565202,0.000029585266,0.0000014983945,0.00047716012,0.000065302214,0.00015508189,0.000016419806,0.0003248309,0.00008810624,0.0012673385,0.9969876,0.00048145448],"about_ca_topic_score_codex":0.0000012059473,"about_ca_topic_score_gemma":0.000007599533,"teacher_disagreement_score":0.99613017,"about_ca_system_score_codex":0.00030087898,"about_ca_system_score_gemma":0.00005661975,"threshold_uncertainty_score":0.9998089},"labels":[],"label_agreement":null},{"id":"W4226193498","doi":"10.22215/etd/2021-14841","title":"A Cyberattack Impact Analysis Approach for Industrial Control Systems","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Industrial control system; Exploit; Computer security; Computer science; Spoofing attack; Vulnerability (computing); Risk analysis (engineering); Control (management); Business","score_opus":0.01722672646705199,"score_gpt":0.2607699645382034,"score_spread":0.2435432380711514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226193498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5916669,0.017156795,0.2659587,0.000017417,0.015654478,0.006224633,0.0018254959,0.0014089583,0.10008668],"genre_scores_gemma":[0.985405,0.000054892098,0.00017523428,0.0000062642507,0.0010724273,0.00029739234,0.0070115933,0.000049482933,0.0059276633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988261,0.000034004708,0.0003462208,0.00029129142,0.00021311101,0.0002893147],"domain_scores_gemma":[0.9993624,0.00010151159,0.00006156248,0.0002562136,0.00011666823,0.00010165398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015061049,0.00028711135,0.0007200479,0.0002752078,0.00006588411,0.00017539675,0.00014854655,0.0006255519,0.00008555747],"category_scores_gemma":[0.000046080557,0.00023734405,0.0005901951,0.0006518421,0.000008147668,0.00006704459,0.0000033473043,0.00032588304,0.0000045255138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007568842,0.00004501467,0.00036883488,0.00043876795,0.0053094537,0.0000041216663,0.00039369497,0.97982883,0.00029539192,0.00014581745,0.012840019,0.00025436695],"study_design_scores_gemma":[0.0011242214,0.000042615746,0.0006422281,0.00005272743,0.0022219871,0.0000028858915,0.0018351927,0.9916844,0.00032709294,0.0000022802913,0.0015368492,0.0005275613],"about_ca_topic_score_codex":0.00018477262,"about_ca_topic_score_gemma":0.00020999218,"teacher_disagreement_score":0.3937382,"about_ca_system_score_codex":0.00008744346,"about_ca_system_score_gemma":0.00009523448,"threshold_uncertainty_score":0.96786094},"labels":[],"label_agreement":null},{"id":"W4229369060","doi":"10.4018/978-1-7998-8390-6.ch003","title":"NERC CIP Standards","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in information security, privacy, and ethics book series","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; Workforce; Corporation; NIST; Critical infrastructure protection; Engineering management; Business; Critical infrastructure; Computer science; Computer security; Political science; Finance","score_opus":0.01068961657964027,"score_gpt":0.25500908297074787,"score_spread":0.2443194663911076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229369060","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015354645,0.044885665,0.00035165797,0.0007876065,0.0021931806,0.00048137462,0.0005981563,0.0004095508,0.9501393],"genre_scores_gemma":[0.017625885,0.96316236,0.0004823993,0.0018880182,0.00043083704,0.00012725791,0.0006104882,0.00012018074,0.015552546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977213,0.000033445027,0.0007406935,0.00022314319,0.0009426273,0.00033875537],"domain_scores_gemma":[0.9989028,0.00023459514,0.00017505858,0.00039140554,0.00018737827,0.00010875364],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000830104,0.00043054906,0.0004523361,0.00034179087,0.0003676773,0.0001544903,0.0003936438,0.0005902042,0.0006935549],"category_scores_gemma":[0.0002001163,0.00046672684,0.000086409964,0.00008471707,0.00042967274,0.007415619,0.0003845732,0.0025929806,0.000024857887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073409676,0.0000071800623,0.000030073916,0.0023628045,0.000037310107,0.000015669404,0.039397493,0.004035987,0.0000010342585,0.94655865,0.0034656047,0.004014806],"study_design_scores_gemma":[0.00024308541,0.000071799834,0.000012259579,0.00022742747,0.000013781372,0.00003540011,0.00054501346,0.00036091998,0.00003324697,0.08514342,0.9128103,0.0005033],"about_ca_topic_score_codex":0.000009580263,"about_ca_topic_score_gemma":0.00018826526,"teacher_disagreement_score":0.9345867,"about_ca_system_score_codex":0.00023362173,"about_ca_system_score_gemma":0.00020567332,"threshold_uncertainty_score":0.99977845},"labels":[],"label_agreement":null},{"id":"W4229774317","doi":"10.1109/tsg.2013.2279012","title":"IEEE Transactions on Smart Grid publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Waterloo","funders":"","keywords":"Smart grid; Computer science; Grid; Engineering; Electrical engineering; Mathematics","score_opus":0.009019005887775678,"score_gpt":0.1979524122638328,"score_spread":0.18893340637605713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229774317","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06457785,0.000031925894,0.9124189,0.0011740845,0.013755105,0.0010525866,0.00028029163,0.0013537433,0.0053555416],"genre_scores_gemma":[0.9968305,0.00025805293,0.00045697053,0.000722037,0.0003576853,0.00061783276,0.00005256371,0.000058510446,0.00064581307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978254,0.00006380379,0.000649251,0.00033874344,0.0005423172,0.0005804888],"domain_scores_gemma":[0.9986011,0.0001490493,0.000081902675,0.00063899107,0.00022826111,0.00030070645],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019512638,0.0004166052,0.00030094487,0.00060533173,0.0005219002,0.00026583046,0.0003460566,0.00031063933,0.0013314143],"category_scores_gemma":[0.0000067392193,0.00041682424,0.000255015,0.0007714378,0.000109923305,0.0023435291,4.8208193e-7,0.00084318506,0.0054514157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011447529,0.00075381686,0.00003656098,0.00028257509,0.00030510203,0.0000041156986,0.0025188874,0.80992943,0.005909935,0.00010410184,0.06940493,0.110636055],"study_design_scores_gemma":[0.00315601,0.0008876372,0.0037321872,0.00031022413,0.00026606728,0.00014059694,0.0008072638,0.3565687,0.37159654,0.0001830654,0.25975704,0.0025946682],"about_ca_topic_score_codex":0.0002726171,"about_ca_topic_score_gemma":0.00016657091,"teacher_disagreement_score":0.9322527,"about_ca_system_score_codex":0.00022441978,"about_ca_system_score_gemma":0.00005915929,"threshold_uncertainty_score":0.99982834},"labels":[],"label_agreement":null},{"id":"W4229879624","doi":"10.1109/glocom.2015.7417140","title":"Security-Enhanced Data Aggregation against Malicious Gateways in Smart Grid","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Computer science; Homomorphic encryption; Data aggregator; Computer security; Cryptosystem; Cryptography; Smart grid; News aggregator; Paillier cryptosystem; Default gateway; Computer network; Information privacy; Energy consumption; Data integrity; Authentication (law); Scheme (mathematics); Encryption; Wireless sensor network; Engineering; Hybrid cryptosystem; Operating system","score_opus":0.08496835250947447,"score_gpt":0.3131640900202471,"score_spread":0.2281957375107726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229879624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8185305,0.007788033,0.011682144,0.0031727448,0.005035762,0.001505978,0.0017055864,0.0015749645,0.14900428],"genre_scores_gemma":[0.9945467,0.0028027555,0.0013608885,0.00015458389,0.00012676608,0.000060062663,0.00089388754,0.000023764462,0.000030554802],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976974,0.00028553425,0.00062078197,0.00044533584,0.00040374536,0.00054716296],"domain_scores_gemma":[0.9950598,0.00010690646,0.000117689684,0.004089026,0.00030763604,0.00031893994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073693256,0.00033657803,0.00038321543,0.00012582167,0.00018857683,0.00017444695,0.003809189,0.00023805707,0.000026540407],"category_scores_gemma":[0.00022259934,0.00036907746,0.00005335016,0.0008284002,0.00030565052,0.00085770694,0.00078321435,0.0006247261,0.00044489346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003397528,0.0032429409,0.046274446,0.00069943274,0.000612452,0.00012463109,0.019677116,0.10138176,0.0053984593,0.055549994,0.663245,0.10345398],"study_design_scores_gemma":[0.0027847032,0.00011480648,0.0063079274,0.0005656397,0.00007100855,0.000056802528,0.0030874298,0.82597995,0.0018887745,0.009630065,0.1477758,0.0017370915],"about_ca_topic_score_codex":0.00082943187,"about_ca_topic_score_gemma":0.013711094,"teacher_disagreement_score":0.72459817,"about_ca_system_score_codex":0.00041656397,"about_ca_system_score_gemma":0.0003203575,"threshold_uncertainty_score":0.99987614},"labels":[],"label_agreement":null},{"id":"W4231934858","doi":"10.1109/tsmc.2013.2265731","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Alberta","funders":"Institute of Electrical and Electronics Engineers","keywords":"Cybernetics; Computer science; Information system; Data science; World Wide Web; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.008503624639722679,"score_gpt":0.18661472557746642,"score_spread":0.17811110093774374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231934858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18846223,0.002725394,0.78287137,0.0002166258,0.012415953,0.0043321713,0.0003619966,0.0011766991,0.0074375933],"genre_scores_gemma":[0.9950232,0.0011503162,0.000036476773,0.000057953905,0.00019184644,0.00068991224,0.00001741122,0.00006991903,0.002763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997135,0.00017559486,0.0010613148,0.0004339083,0.00063642435,0.0005577955],"domain_scores_gemma":[0.9983393,0.00017110918,0.00020223504,0.0006029876,0.00028787542,0.0003965165],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00033824856,0.00052593625,0.00055571226,0.0005277003,0.00041361933,0.0010675348,0.0002530392,0.00046658996,0.000028429271],"category_scores_gemma":[0.000004094157,0.00050566864,0.00010447137,0.0004046585,0.00014243409,0.0008790667,0.0000012341363,0.0005705063,0.00048277716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005229649,0.00030787254,0.00006327113,0.0042649726,0.0004856274,0.00000772769,0.0050519216,0.96401536,0.0018270923,0.0023335782,0.01020615,0.011384107],"study_design_scores_gemma":[0.0016821638,0.00050771463,0.00052566914,0.001296169,0.00022397452,0.0004775512,0.0052538,0.9380755,0.0022629737,0.000020100202,0.04826635,0.0014080547],"about_ca_topic_score_codex":0.001392782,"about_ca_topic_score_gemma":0.000078863326,"teacher_disagreement_score":0.80656093,"about_ca_system_score_codex":0.00019656568,"about_ca_system_score_gemma":0.000033994853,"threshold_uncertainty_score":0.9999695},"labels":[],"label_agreement":null},{"id":"W4233329179","doi":"10.32920/14640498.v1","title":"Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National University of Sciences and Technology; Umm Al-Qura University","keywords":"Cyber-physical system; Computer science; Cloud computing; Wireless sensor network; Provisioning; Condition monitoring; Network architecture; Systems engineering; Computer network; Engineering","score_opus":0.03531816453243953,"score_gpt":0.27416427217018663,"score_spread":0.2388461076377471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233329179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873209,0.002335179,0.004516498,0.000026071106,0.0029121786,0.0015760675,0.000015867467,0.0004521463,0.00084508583],"genre_scores_gemma":[0.9949734,0.00021794268,0.0002418974,0.0000077807335,0.003514347,0.00081460975,0.00003748399,0.000081077196,0.00011142737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830455,0.000055371605,0.0003133796,0.00060134876,0.00031320626,0.00041213166],"domain_scores_gemma":[0.998871,0.00023109367,0.00008347297,0.0005447544,0.0001616844,0.00010798998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022572857,0.00041866433,0.00061271864,0.00005960401,0.00014968259,0.00016810266,0.00018781653,0.00023040034,0.000002820819],"category_scores_gemma":[0.000007815853,0.00034059133,0.00009203526,0.00012057246,0.000025776413,0.00009652442,0.00012095866,0.000631557,0.0000062870267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000332364,0.00035998016,0.0006972896,0.0018740564,0.00021483339,0.0010626343,0.0043234625,0.9906529,0.000019167719,0.00011776195,0.0003336561,0.00031099786],"study_design_scores_gemma":[0.0020397024,0.00088366296,0.0011930002,0.0069681285,0.0005220883,0.00071087346,0.10368364,0.8800885,0.0009257528,0.000060472517,0.0010453054,0.0018788795],"about_ca_topic_score_codex":0.00028938163,"about_ca_topic_score_gemma":0.00036650742,"teacher_disagreement_score":0.11056443,"about_ca_system_score_codex":0.000104698374,"about_ca_system_score_gemma":0.000044287484,"threshold_uncertainty_score":0.99990463},"labels":[],"label_agreement":null},{"id":"W4233717556","doi":"10.22215/timreview702","title":"Security Challenges in Smart-Grid Metering and Control Systems","year":2013,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart grid; Metering mode; Computer science; Grid; Reliability (semiconductor); Electricity; Computer security; Control (management); Telecommunications; Distributed computing; Power (physics); Engineering; Electrical engineering","score_opus":0.017874344900799907,"score_gpt":0.22825086445734,"score_spread":0.21037651955654008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233717556","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21343519,0.7576155,0.0022166683,0.009277103,0.0009541424,0.0037317507,0.0000037569516,0.0014930062,0.011272877],"genre_scores_gemma":[0.74819404,0.25106516,0.000110918714,0.00015714038,0.000019704248,0.0004271442,0.0000031581155,0.000009750828,0.000012970511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991155,0.000021091942,0.0003894958,0.00018875756,0.00008932463,0.00019582445],"domain_scores_gemma":[0.9996195,0.000014907327,0.00005326906,0.0002517362,0.000047527465,0.000013072685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035704242,0.00013227994,0.00027415896,0.00051671563,0.000027886954,0.000019419553,0.00015553847,0.00009450576,0.000021687047],"category_scores_gemma":[0.000024402363,0.00012341718,0.000012601914,0.0010316845,0.000049571627,0.00016077617,0.000060053186,0.00018053332,0.000055276436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020178377,0.000076813776,0.005496223,0.046002433,0.00025512467,0.000047224356,0.000114366274,0.0005795,0.0009902121,0.5992829,0.00694729,0.3402059],"study_design_scores_gemma":[0.0029163503,0.00016886131,0.027064951,0.02038942,0.0002177281,0.00014112367,0.0013649855,0.038099516,0.00055622985,0.021140162,0.88603526,0.0019054246],"about_ca_topic_score_codex":0.0000061569526,"about_ca_topic_score_gemma":0.000004431274,"teacher_disagreement_score":0.879088,"about_ca_system_score_codex":0.000031638217,"about_ca_system_score_gemma":0.0000015715309,"threshold_uncertainty_score":0.50328064},"labels":[],"label_agreement":null},{"id":"W4234209067","doi":"10.1109/tsg.2020.3045568","title":"IEEE Transactions on Smart Grid publication information","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Universidad de Castilla-La Mancha; RWTH Aachen University; Rensselaer Polytechnic Institute; Natural Resources Canada; Iowa State University","keywords":"Smart grid; Computer science; Grid; Telecommunications; Computer security; Engineering; Electrical engineering; Geography","score_opus":0.014375078628996488,"score_gpt":0.20566043800358036,"score_spread":0.19128535937458388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234209067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021616055,0.000032297154,0.96100456,0.0028313927,0.00882362,0.00063364854,0.0004637403,0.0013967771,0.0031979354],"genre_scores_gemma":[0.9963828,0.00027253924,0.00039088388,0.0019386495,0.0005156431,0.00021618098,0.0000592928,0.00005832629,0.00016572695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979045,0.00006279994,0.00062226865,0.00036543154,0.0005478702,0.0004971263],"domain_scores_gemma":[0.9987992,0.00012548128,0.00007768462,0.00046252133,0.00014906407,0.00038604782],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016590215,0.0004001466,0.0003149276,0.000368578,0.0004606541,0.00017923673,0.00034969687,0.00027417552,0.00056324445],"category_scores_gemma":[0.0000099911895,0.00041748094,0.00026738664,0.00094002817,0.000093007584,0.0014932646,5.2854335e-7,0.00091501826,0.0023115382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023131886,0.0003397186,0.00001716204,0.00026701574,0.00020979026,0.000006945078,0.0034585902,0.91849625,0.003773456,0.00006857292,0.032036863,0.0410943],"study_design_scores_gemma":[0.0023359654,0.00084041676,0.0006312889,0.00015593893,0.00021957721,0.000060412396,0.0005595638,0.35281995,0.30502772,0.000035012672,0.3357329,0.0015812314],"about_ca_topic_score_codex":0.000058317477,"about_ca_topic_score_gemma":0.000083091494,"teacher_disagreement_score":0.97476673,"about_ca_system_score_codex":0.00016517726,"about_ca_system_score_gemma":0.000068920686,"threshold_uncertainty_score":0.9998277},"labels":[],"label_agreement":null},{"id":"W4235454321","doi":"10.1002/9781119453550.ch12","title":"Conclusion","year":2019,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; British Columbia Institute of Technology","funders":"","keywords":"Microgrid; Smart grid; Renewable energy; Reliability (semiconductor); Computer science; Control (management); Systems engineering; Risk analysis (engineering); Telecommunications; Engineering; Power (physics); Business; Electrical engineering","score_opus":0.002925610144010826,"score_gpt":0.1762122299077672,"score_spread":0.17328661976375637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235454321","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008004491,0.0012054958,0.0004823423,0.0000074868094,0.0015432764,0.00007207652,0.000003635728,0.00067084085,0.99600685],"genre_scores_gemma":[0.00044077882,0.00039269563,0.0001134769,0.00003407586,0.00025642398,0.0000012253552,0.0000043583873,0.00017038883,0.9985866],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977374,0.0000018707797,0.000033723583,0.000061585924,0.000056184526,0.000072881936],"domain_scores_gemma":[0.9998433,0.0000051152665,0.000004979655,0.00012726728,0.0000014426136,0.00001786983],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000009300094,0.00007204756,0.00008103768,0.00004430402,0.0000045826355,0.0000045481165,0.00007574128,0.00014153653,0.004025074],"category_scores_gemma":[0.0000010218466,0.000057825957,0.000020236494,0.000026643273,0.000009186181,0.000006326501,0.000019264126,0.00007238519,0.0040202322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.3500076e-8,9.888056e-7,0.0000036565907,0.000055377885,0.000005815454,0.0000011806574,0.000010488513,0.00008310585,0.000040285522,0.00039589446,0.9990613,0.0003418484],"study_design_scores_gemma":[0.000039125556,0.0000024935289,0.0000040848704,0.000045524972,0.0000018823589,9.358746e-7,0.0000040112373,0.0011861775,0.00009808466,0.000005353332,0.9985218,0.00009053663],"about_ca_topic_score_codex":0.000020257496,"about_ca_topic_score_gemma":0.000031531898,"teacher_disagreement_score":0.0025797351,"about_ca_system_score_codex":0.0000064438786,"about_ca_system_score_gemma":0.0000036355582,"threshold_uncertainty_score":0.99688536},"labels":[],"label_agreement":null},{"id":"W4236312195","doi":"10.1109/tsmc.2014.2298928","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; Artificial intelligence","score_opus":0.008117979158415181,"score_gpt":0.18891666018958284,"score_spread":0.18079868103116764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236312195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07260428,0.0012707536,0.9078255,0.00010901043,0.009134215,0.0018304074,0.00023391577,0.0007852012,0.0062066964],"genre_scores_gemma":[0.9964052,0.0008810857,0.00003655553,0.000059475482,0.0002484428,0.00032673747,0.00001769597,0.000069756694,0.0019550372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712175,0.00023565987,0.0010253814,0.00044376252,0.0006448744,0.0005285972],"domain_scores_gemma":[0.9983552,0.00021775193,0.00020789423,0.00062896276,0.00022252736,0.00036765824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005490919,0.0005156338,0.0005778957,0.0005202348,0.0004316542,0.0007918396,0.00025205757,0.00046018852,0.000010434586],"category_scores_gemma":[0.0000061914384,0.0005044228,0.000105387524,0.00038416745,0.00014011531,0.00057961186,0.0000011621861,0.00055909745,0.00021084682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006241353,0.000198747,0.000040248266,0.0032724715,0.00029444572,0.0000042747183,0.0031919864,0.9755421,0.0008589239,0.0038216268,0.003456542,0.009256169],"study_design_scores_gemma":[0.0014301301,0.00047156337,0.000229538,0.0010351943,0.00019621923,0.00033274363,0.0021971134,0.9079024,0.0017312209,0.000015015462,0.08342025,0.0010385871],"about_ca_topic_score_codex":0.0005599865,"about_ca_topic_score_gemma":0.00009167596,"teacher_disagreement_score":0.92380095,"about_ca_system_score_codex":0.00017513154,"about_ca_system_score_gemma":0.000029167912,"threshold_uncertainty_score":0.9997407},"labels":[],"label_agreement":null},{"id":"W4237381140","doi":"10.1007/978-3-319-32903-1_250-1","title":"Privacy-Preserving Data Aggregation for Smart Grids","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Data aggregator; Computer security; Internet privacy; Computer network; Wireless sensor network","score_opus":0.04524081268758994,"score_gpt":0.2523756898261696,"score_spread":0.20713487713857964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237381140","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022844179,0.0014127592,0.030366845,0.00014573404,0.0034995596,0.00078162516,0.00038698103,0.0007399396,0.9624381],"genre_scores_gemma":[0.0023587241,0.0014602098,0.013370381,0.0001799745,0.005535685,0.000039289513,0.0025329168,0.0002801239,0.9742427],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893737,0.0000031080492,0.00025670588,0.00037716576,0.0001949421,0.0002306989],"domain_scores_gemma":[0.99829954,0.000094653755,0.00004545749,0.0014187812,0.00006831195,0.000073262825],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017171414,0.00025488352,0.000231693,0.00009170458,0.00008419838,0.00005919521,0.0011862122,0.00032582605,0.0013814789],"category_scores_gemma":[0.000078400146,0.00023879713,0.00006932168,0.000020406133,0.000060952916,0.00026449398,0.0005200726,0.00021057985,0.00028983975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014640985,0.000007705437,0.000013919056,0.000728283,0.00016738109,0.000005091662,0.00025367193,0.00023040523,0.000102439524,0.021229152,0.9701643,0.007083005],"study_design_scores_gemma":[0.00013238702,0.000027337996,0.000009649827,0.00022429475,0.00003938769,0.0000049809373,0.000006019686,0.05288448,0.0003341507,0.011445869,0.9345529,0.00033851288],"about_ca_topic_score_codex":0.000008330065,"about_ca_topic_score_gemma":0.0001297496,"teacher_disagreement_score":0.05265408,"about_ca_system_score_codex":0.000039137823,"about_ca_system_score_gemma":0.000028995113,"threshold_uncertainty_score":0.9995314},"labels":[],"label_agreement":null},{"id":"W4237415699","doi":"10.1109/tdsc.2021.3096213","title":"Detecting False Data Injection Attacks in Peer to Peer Energy Trading Using Machine Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Norges Forskningsråd","keywords":"Computer science; Peer-to-peer; Energy (signal processing); Computer security; Artificial intelligence; Computer network","score_opus":0.029732842824567444,"score_gpt":0.2612602721635021,"score_spread":0.23152742933893466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237415699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5077857,0.00032906284,0.4908395,0.0000585583,0.00067951647,0.000052566193,0.000012667575,0.00014087318,0.00010158429],"genre_scores_gemma":[0.9968101,0.00005125177,0.0027474547,0.000062998406,0.00014420963,0.0000022953564,0.00001663666,0.000044433036,0.000120669654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983101,0.000096513555,0.00033441818,0.0004989218,0.00033721118,0.00042283573],"domain_scores_gemma":[0.9992664,0.00018514425,0.00003478896,0.0002839955,0.00009869446,0.00013100174],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048573758,0.00023294675,0.0002651896,0.00027721608,0.00047841016,0.00015212307,0.00018282018,0.00014756733,0.000027991919],"category_scores_gemma":[0.000049049595,0.0002644002,0.000049973463,0.0007033549,0.00001799879,0.00031864786,0.000015149837,0.0007615833,0.000003324474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001371454,0.00003444413,0.00037832296,0.000057297282,0.000032051765,0.00007292949,0.0016908657,0.9635241,0.01114637,0.0000081479975,0.00002363424,0.023018131],"study_design_scores_gemma":[0.00032688706,0.000039209157,0.000060081482,0.00016997464,0.000024698697,0.0002892399,0.00077885785,0.9621387,0.03374483,0.000014059121,0.0021152426,0.0002981984],"about_ca_topic_score_codex":0.00045929395,"about_ca_topic_score_gemma":0.0030801375,"teacher_disagreement_score":0.4890244,"about_ca_system_score_codex":0.00009835596,"about_ca_system_score_gemma":0.00003685286,"threshold_uncertainty_score":0.9999808},"labels":[],"label_agreement":null},{"id":"W4237526528","doi":"10.1109/tsmc.2019.2905066","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Information system; Cognitive science; Data science; Engineering; Psychology; Artificial intelligence; Electrical engineering","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237526528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4238719580","doi":"10.1007/978-3-319-78262-1_246","title":"Cyber-physical Security in Smart Grid Communications","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Smart grid; Computer security; Cyber-physical system; Computer science; Engineering; Electrical engineering; Operating system","score_opus":0.016427127017643883,"score_gpt":0.22378775115010624,"score_spread":0.20736062413246237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238719580","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046426107,0.0007329577,0.00003237674,0.0005704829,0.0004415715,0.00020333072,0.000058430433,0.0003671445,0.99712944],"genre_scores_gemma":[0.90614134,0.0055608437,0.00070070924,0.0008149632,0.0022593902,0.00007330958,0.0005322461,0.00029009717,0.083627075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918175,0.000011399594,0.00023875425,0.00021809903,0.00017223581,0.00017773485],"domain_scores_gemma":[0.9990115,0.000105258216,0.00002445805,0.0007296396,0.000020188187,0.00010892757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000046917114,0.0002553368,0.0003422085,0.00008464365,0.00004536135,0.000023692834,0.0005986875,0.00023107395,0.00016907117],"category_scores_gemma":[0.000010479371,0.0002572874,0.00012810272,0.000054181466,0.00013365762,0.00007076875,0.00022172047,0.0010066779,0.0007125667],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008900329,0.00008550722,0.00008669605,0.00029810643,0.000122020494,0.00007163451,0.0040985807,0.00049959245,0.000096133575,0.942254,0.050792087,0.001586714],"study_design_scores_gemma":[0.00018177433,0.000027513683,0.000117614974,0.00014369372,0.00002713924,0.0000074477234,0.000031227562,0.03613616,0.00010136264,0.027475048,0.9351803,0.00057069823],"about_ca_topic_score_codex":0.000031358668,"about_ca_topic_score_gemma":0.0006506726,"teacher_disagreement_score":0.914779,"about_ca_system_score_codex":0.00006696951,"about_ca_system_score_gemma":0.00002616718,"threshold_uncertainty_score":0.99998796},"labels":[],"label_agreement":null},{"id":"W4238864961","doi":"10.1007/978-1-4939-7131-2_100232","title":"Cyberinfrastructure","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cyberinfrastructure; Computer science; Data science","score_opus":0.005031025525874419,"score_gpt":0.1699780895896544,"score_spread":0.16494706406377999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238864961","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011845793,0.00036130348,0.00031945968,0.000007895424,0.0012673707,0.000058356105,0.000011815646,0.00038357105,0.99747175],"genre_scores_gemma":[0.00203938,0.00029992335,0.00051526853,0.00007305934,0.0012690324,0.0000013877014,0.0000146372295,0.00006443279,0.9957229],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952376,6.735548e-7,0.00010638031,0.0001295634,0.00011107765,0.00012853525],"domain_scores_gemma":[0.9996814,0.00000880209,0.000011407482,0.00022302633,0.00001893959,0.000056385274],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000015373476,0.00018809963,0.00014586812,0.0000489397,0.00002460209,0.000016172233,0.00014641508,0.00030665088,0.016671292],"category_scores_gemma":[0.0000015797312,0.00016012853,0.000063141364,0.0000086024165,0.00007070547,0.000029817822,0.000028967874,0.00023960907,0.0018838022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003083648,0.0000015992539,0.0000040208724,0.00016681534,0.0001275814,0.000039290986,0.000292999,0.0006998249,0.0001740254,0.164303,0.82908934,0.0050984356],"study_design_scores_gemma":[0.000031686577,0.000010465274,0.000017539625,0.00003820589,0.000008964411,0.0000150756405,0.0000024407002,0.00035282478,0.00025475564,0.013561301,0.98547584,0.00023088884],"about_ca_topic_score_codex":7.2647384e-7,"about_ca_topic_score_gemma":0.000016685975,"teacher_disagreement_score":0.15638654,"about_ca_system_score_codex":0.000022494187,"about_ca_system_score_gemma":0.000008165535,"threshold_uncertainty_score":0.9988933},"labels":[],"label_agreement":null},{"id":"W4239737589","doi":"10.14236/ewic/icscsr2014.10","title":"Not all SCADA is Equal: Impact of Control Models on ICS Threat Landscape","year":2014,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Polytechnique Montréal","funders":"","keywords":"SCADA; Industrial control system; Control (management); State (computer science); Computer science; Control system; Supervisory control; Engineering; Distributed computing; Control engineering; Embedded system; Electrical engineering; Artificial intelligence","score_opus":0.01103798035345759,"score_gpt":0.2498653037441859,"score_spread":0.2388273233907283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239737589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91116714,0.0014989814,0.08389416,0.000063469815,0.0002525796,0.00021843442,0.000003053841,0.00014311018,0.0027590566],"genre_scores_gemma":[0.9994223,0.000075736956,0.0000887032,0.00015056565,0.00021413469,0.0000038954627,0.000004318329,0.00003378463,0.0000065773766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982907,0.00007655832,0.00033709273,0.0002557147,0.00028754698,0.0007523811],"domain_scores_gemma":[0.9990689,0.00049522886,0.00006225227,0.00027056047,0.000036458267,0.0000666132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070379954,0.00022523089,0.00035525323,0.00013304903,0.00004799693,0.000026811318,0.0002746218,0.00014962612,0.00002415407],"category_scores_gemma":[0.000038911483,0.00020150254,0.00013791287,0.00029608968,0.000031660697,0.00008425339,0.000035447283,0.00063094543,0.000007716477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030084337,0.000032824737,0.0013554518,0.00002181535,0.0000606908,0.0000011823012,0.0005299281,0.98457396,0.00022969319,0.0016045448,0.00041704415,0.01114278],"study_design_scores_gemma":[0.0009137329,0.0001602805,0.0010232116,0.00013541196,0.0000146865095,0.000005172882,0.000017428512,0.99442554,0.00081312534,0.0022116192,0.00006548721,0.00021431499],"about_ca_topic_score_codex":0.00004334829,"about_ca_topic_score_gemma":0.000048568018,"teacher_disagreement_score":0.08825513,"about_ca_system_score_codex":0.00024487247,"about_ca_system_score_gemma":0.00006704624,"threshold_uncertainty_score":0.8217035},"labels":[],"label_agreement":null},{"id":"W4240434392","doi":"10.36227/techrxiv.15176175","title":"Automating Network Operation Centers with Superhuman Performance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Computer science; Reinforcement learning; Action (physics); Automation; Artificial intelligence; Face (sociological concept); Engineering","score_opus":0.006342908741879539,"score_gpt":0.1794790001133157,"score_spread":0.17313609137143615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240434392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98395014,0.00043293016,0.004043672,0.000030177194,0.0013471342,0.00017290049,0.0000012720817,0.000555472,0.009466318],"genre_scores_gemma":[0.99512,0.00029045448,0.0039729187,0.000045851782,0.00030184153,0.000026292248,0.00008504084,0.000029723578,0.00012789028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991109,0.000018193758,0.00020510027,0.00023865404,0.00016914749,0.00025800205],"domain_scores_gemma":[0.9996049,0.000013163627,0.000020754938,0.0002793711,0.000029820178,0.000052007385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000951137,0.00020061692,0.00019721426,0.000032195854,0.00011454832,0.00017496606,0.00017772698,0.0001425017,0.00020413878],"category_scores_gemma":[0.000002624014,0.00016865619,0.000044838012,0.00008052881,0.000029974188,0.00015148548,0.00014356963,0.00045386303,0.000015000416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012250478,0.0000065392464,0.007082152,0.00036791054,0.000039020826,0.0000067899277,0.0007932117,0.9902478,0.000089029796,0.0000626244,0.00037430905,0.00092938665],"study_design_scores_gemma":[0.00013201509,0.000022296752,0.020537049,0.0006956003,0.000016955237,0.00001960438,0.00021131875,0.97647095,0.0012935515,0.0000050451617,0.00022851847,0.00036707966],"about_ca_topic_score_codex":0.00001927325,"about_ca_topic_score_gemma":0.00014793526,"teacher_disagreement_score":0.013776836,"about_ca_system_score_codex":0.000057690915,"about_ca_system_score_gemma":0.000040103,"threshold_uncertainty_score":0.68776},"labels":[],"label_agreement":null},{"id":"W4240705788","doi":"10.18280/ijsse.100415","title":"A Lightweight Authenticated Key Establishment Scheme for Secure Smart Grid Communications","year":2020,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheme (mathematics); Computer science; Computer network; Key (lock); Computer security; Smart grid; Engineering; Electrical engineering","score_opus":0.010619294586294953,"score_gpt":0.2223055987395023,"score_spread":0.21168630415320736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240705788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5147128,0.021410622,0.39159304,0.054189187,0.01302165,0.0012710928,0.00087650033,0.00083618955,0.0020889342],"genre_scores_gemma":[0.99032253,0.0023808812,0.0063968506,0.0001654643,0.0006726608,0.00000522385,0.00002965134,0.000022474544,0.0000042540173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989912,0.000011809842,0.00046159612,0.00010478184,0.00026423714,0.00016639501],"domain_scores_gemma":[0.9992313,0.00014247619,0.000084917636,0.00012374818,0.00023394209,0.00018361669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019542786,0.00014601766,0.00021813241,0.000113842754,0.00005940203,0.00007707852,0.00057070283,0.0000803877,0.000018639177],"category_scores_gemma":[0.0001372926,0.00014155998,0.000112094895,0.00012601272,0.000040584255,0.00033081786,0.000098235614,0.0003537735,0.0000028118243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003901058,0.0016101454,0.0062712175,0.0042763688,0.010932104,0.00063593785,0.18452626,0.31562874,0.12667617,0.27588955,0.04546907,0.02418338],"study_design_scores_gemma":[0.0010968988,0.00009630779,0.00051242986,0.00018949599,0.000041386247,0.00010915989,0.00020962987,0.6358602,0.0027752356,0.00029306306,0.35856065,0.00025552986],"about_ca_topic_score_codex":0.0000019532497,"about_ca_topic_score_gemma":0.0000031092195,"teacher_disagreement_score":0.47560975,"about_ca_system_score_codex":0.00005821543,"about_ca_system_score_gemma":0.000025120526,"threshold_uncertainty_score":0.57726485},"labels":[],"label_agreement":null},{"id":"W4241584538","doi":"10.1109/isci53438.2021.00013","title":"RiskISM: A Risk Assessment Tool for Substations","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Downtime; Failure mode, effects, and criticality analysis; Computer science; Criticality; Reliability engineering; Risk assessment; Visualization; Identification (biology); Risk analysis (engineering); Computer security; Engineering; Data mining; Failure mode and effects analysis","score_opus":0.007270698995584531,"score_gpt":0.2508006849538263,"score_spread":0.24352998595824177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241584538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38182682,0.00028243734,0.6009424,0.0001991619,0.00069940015,0.0001766516,0.000059823928,0.0002799297,0.015533414],"genre_scores_gemma":[0.9566599,0.00030302373,0.042051394,0.00006231378,0.00009325381,0.000060569415,0.000023025195,0.000011067124,0.00073543633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996403,0.00000955433,0.00008765126,0.00008372166,0.000062473475,0.00011632213],"domain_scores_gemma":[0.9997013,0.00010728041,0.0000071069708,0.00011227146,0.000044674973,0.000027322065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060742943,0.00004958462,0.00005909927,0.000016998203,0.000074463045,0.000029495744,0.000041803527,0.000028486369,0.00017346136],"category_scores_gemma":[0.000036549067,0.000046206715,0.000042945427,0.00009472026,0.000008954327,0.00006916035,0.0000083768045,0.00006864952,0.000020851314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015989226,0.00045280068,0.049998328,0.00054337154,0.0005169303,0.00007085981,0.0038044371,0.4453097,0.024276923,0.21255441,0.21742755,0.04502871],"study_design_scores_gemma":[0.001119274,0.000049879785,0.105590776,0.000026531205,0.00008235937,0.000018765371,0.00097168825,0.66163874,0.04089179,0.0090485765,0.18001717,0.00054446544],"about_ca_topic_score_codex":0.000005640269,"about_ca_topic_score_gemma":0.00009571981,"teacher_disagreement_score":0.5748331,"about_ca_system_score_codex":0.000018886783,"about_ca_system_score_gemma":0.00002607275,"threshold_uncertainty_score":0.18992803},"labels":[],"label_agreement":null},{"id":"W4241752532","doi":"10.32920/ryerson.14656977","title":"An Intrusion Detection System for Smart Grid Neighborhood Area Network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Intrusion detection system; Smart grid; Distributed computing; Reliability (semiconductor); Grid; Overhead (engineering); Computation; Computer network; Computer security; Engineering; Operating system","score_opus":0.009819147293404233,"score_gpt":0.2077115750912639,"score_spread":0.19789242779785965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241752532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19352214,0.0012130154,0.77153146,0.000023412576,0.027745044,0.00092917524,0.000034251247,0.0017342023,0.0032672815],"genre_scores_gemma":[0.9939433,0.00015037015,0.002264653,0.000023447887,0.003151469,0.00018818465,0.000196251,0.00005582049,0.000026539454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862194,0.000044319782,0.00033580617,0.0004548348,0.00017648804,0.00036661705],"domain_scores_gemma":[0.9990781,0.00006371908,0.000054296892,0.000574072,0.000096731266,0.00013307895],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022242845,0.0003031842,0.00036822766,0.00007209042,0.00015203601,0.00018116343,0.0002752698,0.0005149766,0.00003411662],"category_scores_gemma":[0.00001746927,0.00028975485,0.00017388538,0.00014950713,0.000017428047,0.000119742566,0.00016380774,0.00049974886,0.000008263393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028441078,0.00003678571,0.0003647879,0.0020860843,0.000110079134,0.000013888218,0.00033316837,0.9840587,0.0036942442,0.00028267133,0.0013634579,0.007627695],"study_design_scores_gemma":[0.00022921318,0.0000687551,0.00080365624,0.000609786,0.000069370784,0.000028512415,0.0005100866,0.9742629,0.020549573,0.00018981064,0.0021294057,0.0005489199],"about_ca_topic_score_codex":0.00005897249,"about_ca_topic_score_gemma":0.0005147367,"teacher_disagreement_score":0.8004211,"about_ca_system_score_codex":0.00017144589,"about_ca_system_score_gemma":0.0000421254,"threshold_uncertainty_score":0.9999555},"labels":[],"label_agreement":null},{"id":"W4242169935","doi":"10.1109/tsmc.2019.2917413","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Information system; Data science; Cognitive science; Psychology; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242169935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4243120955","doi":"10.1109/tsmc.2016.2551206","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Data science; Psychology; Artificial intelligence","score_opus":0.009438870355947633,"score_gpt":0.19208886723515087,"score_spread":0.18264999687920325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243120955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08505042,0.0017282913,0.89624774,0.00021157641,0.00953922,0.0020536243,0.0004935581,0.00083522557,0.0038403738],"genre_scores_gemma":[0.9940791,0.0017806112,0.000024919516,0.000041204585,0.00020820281,0.00036378653,0.000008808534,0.000068380796,0.0034249497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971691,0.0001822546,0.0010201093,0.00044884943,0.0006362484,0.0005434886],"domain_scores_gemma":[0.99834865,0.00023601181,0.00020357118,0.00061357365,0.0002316834,0.00036653108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041989962,0.0005075694,0.00053662056,0.00051925617,0.00037130443,0.0005880614,0.00024762648,0.00044885938,0.000016706515],"category_scores_gemma":[0.0000055027226,0.00041467632,0.00010595486,0.00035231243,0.00016282251,0.0007171209,0.000001204734,0.0003891717,0.00027311893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003249035,0.0007583164,0.000202073,0.009041931,0.0013544805,0.000034350356,0.009566082,0.88595235,0.01064155,0.01025793,0.01603093,0.055835098],"study_design_scores_gemma":[0.0069317953,0.0016398977,0.00095559197,0.006590423,0.00069454696,0.00154117,0.0074414746,0.7031931,0.013992787,0.000055764274,0.25290397,0.0040594577],"about_ca_topic_score_codex":0.00039847786,"about_ca_topic_score_gemma":0.00007965361,"teacher_disagreement_score":0.9090287,"about_ca_system_score_codex":0.00023842738,"about_ca_system_score_gemma":0.000038373528,"threshold_uncertainty_score":0.9998305},"labels":[],"label_agreement":null},{"id":"W4244163424","doi":"10.32920/ryerson.14654283.v1","title":"Optimal Resource Allocation For QOS Supports In Smart Grid Neighborhood Area Network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Quality of service; Computer science; Smart grid; Computer network; Network packet; Packet loss; Latency (audio); Reliability (semiconductor); Wide area network; Grid; Telecommunications network; Distributed computing; Power (physics); Telecommunications; Engineering","score_opus":0.011187622258775506,"score_gpt":0.21583607915821465,"score_spread":0.20464845689943914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244163424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59445834,0.005951899,0.33801854,0.0012914601,0.020876741,0.0038554687,0.00011606209,0.0016210104,0.033810508],"genre_scores_gemma":[0.9857536,0.00038148012,0.008958289,0.0001893905,0.0026004938,0.00041259243,0.0011981435,0.00008691439,0.00041908573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983271,0.00003452659,0.00044839276,0.0004939946,0.00019783911,0.0004981944],"domain_scores_gemma":[0.9991417,0.00012640805,0.000054097007,0.0005123907,0.000057992456,0.00010742561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003108255,0.00031419008,0.00039450958,0.000100928875,0.00005512718,0.00011295923,0.0003024896,0.0004565388,0.00014694248],"category_scores_gemma":[0.00005066685,0.00033058604,0.00016299957,0.00019614707,0.000029162713,0.00008691358,0.00025080037,0.00061891275,0.0000067187807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013381046,0.000035047746,0.0017353663,0.00030685953,0.00004093538,0.000022708651,0.00047250363,0.96837217,0.000038882656,0.00018469579,0.028273834,0.0005036335],"study_design_scores_gemma":[0.00059087866,0.0000517263,0.007813452,0.00072311854,0.000060531624,0.000026043796,0.0006018417,0.9329737,0.0016853706,0.00031586827,0.054105874,0.0010515942],"about_ca_topic_score_codex":0.000048755403,"about_ca_topic_score_gemma":0.00041908768,"teacher_disagreement_score":0.39129528,"about_ca_system_score_codex":0.00010904115,"about_ca_system_score_gemma":0.00010411338,"threshold_uncertainty_score":0.99991465},"labels":[],"label_agreement":null},{"id":"W4244880488","doi":"10.1109/tsmc.2019.2923490","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; Information system; World Wide Web; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244880488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4244901037","doi":"10.1109/tsmc.2013.2257472","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Standards Association","funders":"Institute of Electrical and Electronics Engineers","keywords":"Cybernetics; Computer science; Information system; Cognitive science; Data science; Engineering; Psychology; Artificial intelligence; Electrical engineering","score_opus":0.008503624639722679,"score_gpt":0.18661472557746642,"score_spread":0.17811110093774374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244901037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18846223,0.002725394,0.78287137,0.0002166258,0.012415953,0.0043321713,0.0003619966,0.0011766991,0.0074375933],"genre_scores_gemma":[0.9950232,0.0011503162,0.000036476773,0.000057953905,0.00019184644,0.00068991224,0.00001741122,0.00006991903,0.002763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997135,0.00017559486,0.0010613148,0.0004339083,0.00063642435,0.0005577955],"domain_scores_gemma":[0.9983393,0.00017110918,0.00020223504,0.0006029876,0.00028787542,0.0003965165],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00033824856,0.00052593625,0.00055571226,0.0005277003,0.00041361933,0.0010675348,0.0002530392,0.00046658996,0.000028429271],"category_scores_gemma":[0.000004094157,0.00050566864,0.00010447137,0.0004046585,0.00014243409,0.0008790667,0.0000012341363,0.0005705063,0.00048277716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005229649,0.00030787254,0.00006327113,0.0042649726,0.0004856274,0.00000772769,0.0050519216,0.96401536,0.0018270923,0.0023335782,0.01020615,0.011384107],"study_design_scores_gemma":[0.0016821638,0.00050771463,0.00052566914,0.001296169,0.00022397452,0.0004775512,0.0052538,0.9380755,0.0022629737,0.000020100202,0.04826635,0.0014080547],"about_ca_topic_score_codex":0.001392782,"about_ca_topic_score_gemma":0.000078863326,"teacher_disagreement_score":0.80656093,"about_ca_system_score_codex":0.00019656568,"about_ca_system_score_gemma":0.000033994853,"threshold_uncertainty_score":0.9999695},"labels":[],"label_agreement":null},{"id":"W4244995045","doi":"10.1109/tsmc.2019.2912559","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Data science; Psychology; Artificial intelligence","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244995045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4246000424","doi":"10.1007/978-3-319-32903-1_273-1","title":"Smart Grid Communication Based on IEEE 2030 Standard","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro One (Canada); University of Ottawa; Carleton University","funders":"","keywords":"Smart grid; Computer science; Grid; Electrical engineering; Geography; Engineering; Geodesy","score_opus":0.013067859731831133,"score_gpt":0.21045385023775975,"score_spread":0.19738599050592862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246000424","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012473168,0.00028423706,0.001907297,0.000100396035,0.0015295421,0.00019837705,0.00009122668,0.00042510094,0.9953391],"genre_scores_gemma":[0.054554347,0.0037865823,0.0051907618,0.0019213074,0.0035405834,0.000057090892,0.00068856345,0.00049860607,0.9297622],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990941,0.000010987855,0.00022092844,0.00019580171,0.0002999302,0.0001782229],"domain_scores_gemma":[0.9988884,0.00009659225,0.00003858824,0.0008282719,0.00006892847,0.00007922108],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014531346,0.00026656233,0.0002462966,0.00012088404,0.000093464114,0.000037299964,0.0003480454,0.0003241902,0.0038606133],"category_scores_gemma":[0.000007906559,0.00024246672,0.00010335086,0.000022515573,0.00012824789,0.000051471885,0.000026301044,0.00043124554,0.0011682983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079416284,0.000021023858,0.000012101906,0.00022753599,0.00009359845,0.00001332782,0.00022307101,0.008692462,0.00006697195,0.022030933,0.96629983,0.0022396974],"study_design_scores_gemma":[0.00020992229,0.00011469196,0.000014004177,0.00032321518,0.000022259124,0.000001886645,0.000005339903,0.0134813,0.0010787009,0.0015331551,0.98282826,0.00038723933],"about_ca_topic_score_codex":0.0000071088552,"about_ca_topic_score_gemma":0.00011788489,"teacher_disagreement_score":0.06557693,"about_ca_system_score_codex":0.00010619052,"about_ca_system_score_gemma":0.000034407585,"threshold_uncertainty_score":0.9996094},"labels":[],"label_agreement":null},{"id":"W4246729406","doi":"10.4108/icst.bionetics2007.2462","title":"Evolving the ‘DNA blueprint’ of eNetwork middleware to control resilient and efficient Cyber-Physical Ecosystems","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Research Canada","funders":"","keywords":"Blueprint; Middleware (distributed applications); Cyber-physical system; Computer science; The Internet; Ecosystem; Control (management); Computer security; Internet of Things; Business; World Wide Web; Operating system; Engineering; Ecology; Biology","score_opus":0.004284367260613116,"score_gpt":0.1989582498259855,"score_spread":0.19467388256537238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246729406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758744,0.0004899184,0.01978385,0.000074219235,0.00040721992,0.0003225126,0.0000039466704,0.000088174966,0.0029557047],"genre_scores_gemma":[0.9995103,0.00000808807,0.0001288487,0.000049094586,0.00024615257,0.000007915206,4.4939603e-7,0.000012680668,0.0000364996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990548,0.000024991496,0.00023118632,0.00016967196,0.00021843753,0.00030091088],"domain_scores_gemma":[0.9992212,0.0003293633,0.000023175417,0.00025988638,0.0000444808,0.000121859186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004188201,0.00012530934,0.00019106775,0.000052261454,0.0000805997,0.000021929207,0.0001696702,0.00004869799,0.000014665618],"category_scores_gemma":[0.000042654254,0.00008286851,0.000054400258,0.00020054556,0.00005214384,0.000023313616,0.000051627543,0.000120749166,0.000019938161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007809288,0.00015353967,0.0075969063,0.00024161296,0.00011018459,0.0000170315,0.007638712,0.934452,0.036581576,0.007429938,0.0020640122,0.0036364156],"study_design_scores_gemma":[0.0007821363,0.0001403528,0.061261293,0.00026308076,0.000041315674,0.000021270125,0.0017873857,0.87182456,0.058668025,0.00009718809,0.00467686,0.0004365091],"about_ca_topic_score_codex":0.000047387537,"about_ca_topic_score_gemma":0.00027562812,"teacher_disagreement_score":0.0626274,"about_ca_system_score_codex":0.00003536356,"about_ca_system_score_gemma":0.0000074900886,"threshold_uncertainty_score":0.33792797},"labels":[],"label_agreement":null},{"id":"W4247244339","doi":"10.9734/bjast/2014/3682","title":"Risk Management Framework for the Power Grid Cyber-Physical Security","year":2013,"lang":"en","type":"article","venue":"British Journal of Applied Science & Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Power grid; Cyber-physical system; Business; Grid; Physical security; Computer security; Risk management; Computer science; Power (physics); Geography; Finance; Physics","score_opus":0.003181401531220795,"score_gpt":0.20744874668045232,"score_spread":0.20426734514923153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247244339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95477927,0.0011130561,0.037822966,0.00057013956,0.0015112679,0.0006545666,0.000010506985,0.00018838981,0.0033498271],"genre_scores_gemma":[0.9920512,0.00078088284,0.006805872,0.000068808746,0.00021603525,0.000059201644,1.4662699e-7,0.000013335687,0.00000452924],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986514,0.000005949239,0.00028749107,0.00020312845,0.0003831194,0.0004689158],"domain_scores_gemma":[0.9992277,0.00013951809,0.00012604478,0.00027030235,0.00014367362,0.00009275951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054281775,0.00012314846,0.00021547305,0.00027759335,0.00045170926,0.00016560227,0.0012510042,0.0001281424,0.00003290848],"category_scores_gemma":[0.00009643548,0.000102518985,0.000091080256,0.00097137963,0.0011007335,0.00022161855,0.00014079042,0.00081145484,0.000037042355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054797096,0.0005149261,0.00044849317,0.00011718122,0.00031961408,0.00018699502,0.0034067903,0.017062265,0.009111814,0.42514405,0.025508752,0.51812434],"study_design_scores_gemma":[0.00088543334,0.00028073293,0.0069439565,0.00019730265,0.000106221145,0.0012351414,0.0048982436,0.018220501,0.017221756,0.91129667,0.038123365,0.0005906779],"about_ca_topic_score_codex":0.0000066131597,"about_ca_topic_score_gemma":0.0000044214066,"teacher_disagreement_score":0.51753366,"about_ca_system_score_codex":0.000065050765,"about_ca_system_score_gemma":0.0000286718,"threshold_uncertainty_score":0.41806027},"labels":[],"label_agreement":null},{"id":"W4247392673","doi":"10.1109/tsmc.2013.2295454","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Alberta","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Data science; Psychology; Artificial intelligence","score_opus":0.008117979158415181,"score_gpt":0.18891666018958284,"score_spread":0.18079868103116764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247392673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07260428,0.0012707536,0.9078255,0.00010901043,0.009134215,0.0018304074,0.00023391577,0.0007852012,0.0062066964],"genre_scores_gemma":[0.9964052,0.0008810857,0.00003655553,0.000059475482,0.0002484428,0.00032673747,0.00001769597,0.000069756694,0.0019550372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712175,0.00023565987,0.0010253814,0.00044376252,0.0006448744,0.0005285972],"domain_scores_gemma":[0.9983552,0.00021775193,0.00020789423,0.00062896276,0.00022252736,0.00036765824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005490919,0.0005156338,0.0005778957,0.0005202348,0.0004316542,0.0007918396,0.00025205757,0.00046018852,0.000010434586],"category_scores_gemma":[0.0000061914384,0.0005044228,0.000105387524,0.00038416745,0.00014011531,0.00057961186,0.0000011621861,0.00055909745,0.00021084682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006241353,0.000198747,0.000040248266,0.0032724715,0.00029444572,0.0000042747183,0.0031919864,0.9755421,0.0008589239,0.0038216268,0.003456542,0.009256169],"study_design_scores_gemma":[0.0014301301,0.00047156337,0.000229538,0.0010351943,0.00019621923,0.00033274363,0.0021971134,0.9079024,0.0017312209,0.000015015462,0.08342025,0.0010385871],"about_ca_topic_score_codex":0.0005599865,"about_ca_topic_score_gemma":0.00009167596,"teacher_disagreement_score":0.92380095,"about_ca_system_score_codex":0.00017513154,"about_ca_system_score_gemma":0.000029167912,"threshold_uncertainty_score":0.9997407},"labels":[],"label_agreement":null},{"id":"W4247566808","doi":"10.32920/ryerson.14658174.v1","title":"Cryptographic Key Management for Role-Based Access Control Model in Power System Computer Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Key (lock); Computer science; Key management; Reliability (semiconductor); Control (management); Computer security; Hash function; Power management; Power (physics); Electricity; Cryptography; Domain (mathematical analysis); Engineering management; Engineering; Electrical engineering","score_opus":0.007834996785139022,"score_gpt":0.21221711591694095,"score_spread":0.20438211913180193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247566808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022533711,0.0009046231,0.9705917,0.000047709742,0.001872662,0.001368991,0.000019814153,0.0004371657,0.002223573],"genre_scores_gemma":[0.98785794,0.000072442366,0.010979038,0.00022696237,0.00016659229,0.000570848,0.000059219434,0.000052815216,0.000014127898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831957,0.000039889794,0.00045119642,0.0005218678,0.00021318214,0.0004542944],"domain_scores_gemma":[0.999162,0.00007802544,0.0000535563,0.0005426323,0.000068963425,0.000094817966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023596892,0.00036855397,0.0005301264,0.0002948586,0.00004665366,0.0003049398,0.0006413875,0.00040066883,0.0000142277195],"category_scores_gemma":[0.0000015816186,0.00035888632,0.00027536027,0.00020741254,0.000027079537,0.0000916614,0.00029275977,0.00050848036,0.0000016310445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002519354,0.000041827603,0.0003460793,0.0015230424,0.00014094802,0.000019572091,0.00007274369,0.9949779,0.0000025292884,0.0021402582,0.00044726918,0.00026266146],"study_design_scores_gemma":[0.0010730311,0.000010349376,0.0011956588,0.00076256465,0.00004762985,9.874502e-7,0.00007404548,0.996214,0.000017787434,0.00009305867,0.00010726723,0.00040366474],"about_ca_topic_score_codex":0.000028342207,"about_ca_topic_score_gemma":0.00011197573,"teacher_disagreement_score":0.9653242,"about_ca_system_score_codex":0.000113907285,"about_ca_system_score_gemma":0.000029961215,"threshold_uncertainty_score":0.99988633},"labels":[],"label_agreement":null},{"id":"W4248093757","doi":"10.32920/ryerson.14658174","title":"Cryptographic Key Management for Role-Based Access Control Model in Power System Computer Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Key (lock); Computer science; Key management; Reliability (semiconductor); Control (management); Computer security; Hash function; Cryptography; Power management; Power (physics); Electricity; Domain (mathematical analysis); Distributed computing; Systems engineering; Engineering; Electrical engineering","score_opus":0.007834996785139022,"score_gpt":0.21221711591694095,"score_spread":0.20438211913180193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248093757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022533711,0.0009046231,0.9705917,0.000047709742,0.001872662,0.001368991,0.000019814153,0.0004371657,0.002223573],"genre_scores_gemma":[0.98785794,0.000072442366,0.010979038,0.00022696237,0.00016659229,0.000570848,0.000059219434,0.000052815216,0.000014127898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831957,0.000039889794,0.00045119642,0.0005218678,0.00021318214,0.0004542944],"domain_scores_gemma":[0.999162,0.00007802544,0.0000535563,0.0005426323,0.000068963425,0.000094817966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023596892,0.00036855397,0.0005301264,0.0002948586,0.00004665366,0.0003049398,0.0006413875,0.00040066883,0.0000142277195],"category_scores_gemma":[0.0000015816186,0.00035888632,0.00027536027,0.00020741254,0.000027079537,0.0000916614,0.00029275977,0.00050848036,0.0000016310445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002519354,0.000041827603,0.0003460793,0.0015230424,0.00014094802,0.000019572091,0.00007274369,0.9949779,0.0000025292884,0.0021402582,0.00044726918,0.00026266146],"study_design_scores_gemma":[0.0010730311,0.000010349376,0.0011956588,0.00076256465,0.00004762985,9.874502e-7,0.00007404548,0.996214,0.000017787434,0.00009305867,0.00010726723,0.00040366474],"about_ca_topic_score_codex":0.000028342207,"about_ca_topic_score_gemma":0.00011197573,"teacher_disagreement_score":0.9653242,"about_ca_system_score_codex":0.000113907285,"about_ca_system_score_gemma":0.000029961215,"threshold_uncertainty_score":0.99988633},"labels":[],"label_agreement":null},{"id":"W4248677567","doi":"10.1002/9780470382844.index","title":"Index","year":2008,"lang":"en","type":"paratext","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Index (typography); Library science; Engineering; Sociology; Computer science; World Wide Web","score_opus":0.007679729919167038,"score_gpt":0.20278844764657966,"score_spread":0.19510871772741262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248677567","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061060477,0.0038749226,0.0021735833,0.000010400808,0.005689015,0.00006219238,0.000012463455,0.0001728307,0.987394],"genre_scores_gemma":[0.05132521,0.018158276,0.00010860923,0.0001337986,0.0017137167,0.000016263686,0.000081322,0.00006668798,0.9283961],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949527,0.00000425391,0.00010446686,0.00011111522,0.00011209269,0.00017280219],"domain_scores_gemma":[0.99974585,0.000014408559,0.0000079548945,0.00017082621,0.000010711477,0.000050267987],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000011609781,0.00014610348,0.00015810475,0.00006795168,0.000032037395,0.00001190993,0.00016192974,0.0002777028,0.0064128954],"category_scores_gemma":[0.0000019984602,0.00012729787,0.00005354334,0.00008742316,0.000033097145,0.00003128603,0.000019486106,0.00031789803,0.034742597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.9834364e-7,0.0000028500876,0.000004408099,0.000050556933,0.000012775056,0.0000063399443,0.000041213745,0.014867875,0.000010890259,0.000011909004,0.98472553,0.00026522903],"study_design_scores_gemma":[0.00004514141,0.0000040637697,0.000049367365,0.00002166636,0.0000016821162,0.000017680422,0.0000052915098,0.003983449,0.0003592228,0.0000034795942,0.9953199,0.00018907459],"about_ca_topic_score_codex":0.000016196527,"about_ca_topic_score_gemma":0.000010081886,"teacher_disagreement_score":0.05899787,"about_ca_system_score_codex":0.000022984674,"about_ca_system_score_gemma":0.000021098738,"threshold_uncertainty_score":0.9944954},"labels":[],"label_agreement":null},{"id":"W4248718744","doi":"10.32920/ryerson.14657520","title":"A lightweight approach towards mutual authentication in a smart grid environment","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mutual authentication; Computer science; Smart grid; Authentication (law); Smart meter; Computer network; Authentication protocol; Computer security; Overhead (engineering); Key (lock); Default gateway; Protocol (science); Key management; Message authentication code; Cryptography; Engineering; Operating system","score_opus":0.011178743170602527,"score_gpt":0.19615254491563405,"score_spread":0.18497380174503153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248718744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88050616,0.003765095,0.052653864,0.0004782184,0.004019552,0.0010766606,0.000036922786,0.0005943755,0.056869145],"genre_scores_gemma":[0.9898545,0.0011080435,0.0075762677,0.000034419892,0.00037146092,0.0002144876,0.00027273616,0.000037891466,0.00053016696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853027,0.000047586367,0.0003592551,0.00047197225,0.00029975886,0.00029118365],"domain_scores_gemma":[0.9993043,0.000017806608,0.000032192274,0.0005463648,0.0000109823395,0.000088387234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018873662,0.00027736652,0.0003128355,0.0001460191,0.000027635637,0.00008137303,0.00030946665,0.00036601324,0.00030270603],"category_scores_gemma":[0.000012656457,0.00026078615,0.00012087044,0.00011194354,0.00004753829,0.000071072274,0.00037725872,0.0006786531,0.000076737175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006468333,0.003084066,0.007520387,0.0069253976,0.0009722485,0.00036236757,0.07342536,0.84873813,0.009642731,0.005611258,0.021245463,0.022407888],"study_design_scores_gemma":[0.0007083839,0.000036830857,0.043959048,0.0003890979,0.00009726542,0.00004022385,0.0014162351,0.9006018,0.016449306,0.00050179305,0.034105614,0.0016943975],"about_ca_topic_score_codex":0.000076938144,"about_ca_topic_score_gemma":0.000038490532,"teacher_disagreement_score":0.10934836,"about_ca_system_score_codex":0.0001983381,"about_ca_system_score_gemma":0.000056909877,"threshold_uncertainty_score":0.99998444},"labels":[],"label_agreement":null},{"id":"W4249170407","doi":"10.1049/oap-cired.2021.0124","title":"Innovative solutions to enable flexibility and retail markets in distribution grids: The Platone approach","year":2020,"lang":"en","type":"article","venue":"CIRED - Open Access Proceedings Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Observability; Grid; Certification; Computer science; Operator (biology); Data access layer; Systems engineering; Risk analysis (engineering); Business; Engineering; Database; Data modeling; Economics","score_opus":0.09130221716795518,"score_gpt":0.3104234337573156,"score_spread":0.21912121658936046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249170407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830626,0.0004600417,0.0035977403,0.0039759534,0.00020170695,0.00078077894,0.000028421915,0.00007008131,0.007822629],"genre_scores_gemma":[0.99899256,0.0001461947,0.0002635484,0.00028745053,0.00021685605,0.000051092833,0.000008442501,0.000014372227,0.00001950056],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99871314,0.000020756974,0.0003777302,0.00027723913,0.0002293848,0.0003817436],"domain_scores_gemma":[0.9993708,0.000035777895,0.00008311173,0.000078662066,0.00022017375,0.0002114739],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010167889,0.00016304594,0.00023264723,0.00006626579,0.00046245006,0.0015596444,0.0011715116,0.00008348595,0.000039163453],"category_scores_gemma":[0.00047642746,0.00012402772,0.00002584974,0.0015523621,0.000105511084,0.002431316,0.0007455672,0.0007231275,0.0000045070587],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028907731,0.0010314411,0.30730686,0.0024860466,0.0007251657,0.00010787113,0.08196263,0.033647604,0.03954488,0.039498743,0.43416694,0.05663105],"study_design_scores_gemma":[0.0043022702,0.0003250007,0.6423897,0.0007138075,0.0000882362,0.00072720833,0.015288267,0.25410384,0.016636208,0.009440631,0.054107703,0.0018770873],"about_ca_topic_score_codex":0.000018664972,"about_ca_topic_score_gemma":0.000005210519,"teacher_disagreement_score":0.38005924,"about_ca_system_score_codex":0.0001351321,"about_ca_system_score_gemma":0.00006803025,"threshold_uncertainty_score":0.99947685},"labels":[],"label_agreement":null},{"id":"W4249741162","doi":"10.1007/978-3-540-89768-2_2","title":"Infrastructure","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Open Text (Canada)","funders":"","keywords":"Telecommunications; Telephony; Variety (cybernetics); Telephone network; Telephone line; Electricity; Telecommunications network; Engineering; Computer science; Computer network; Electrical engineering","score_opus":0.004037632791881791,"score_gpt":0.16906686029967613,"score_spread":0.16502922750779433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249741162","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018479765,0.00080082595,0.00017211154,0.000019974861,0.00048819845,0.000051916813,0.0000054338125,0.0003511079,0.99809194],"genre_scores_gemma":[0.0022822567,0.0008723283,0.00040442141,0.00017852805,0.0005579184,6.2397726e-7,0.000015545726,0.000038189242,0.9956502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99958384,5.929013e-7,0.00009883493,0.00010308797,0.00010421903,0.000109418484],"domain_scores_gemma":[0.9997576,0.0000074049235,0.00000954298,0.00016709905,0.000010465857,0.00004787646],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000011794003,0.00016759482,0.00014049653,0.000052727202,0.000018254292,0.000013701498,0.00011990048,0.00029460227,0.00187529],"category_scores_gemma":[0.0000012498434,0.00014376437,0.000059477698,0.00000844678,0.000022964563,0.000028227998,0.000011546158,0.00031530537,0.00034699732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025470665,0.0000022312154,0.0000033814879,0.000117466254,0.00007290457,0.00006636916,0.00013015908,0.01084332,0.000090539565,0.43886283,0.42469138,0.12511688],"study_design_scores_gemma":[0.000031759893,0.000009073291,0.000055013712,0.000035265886,0.000007610009,0.000012169244,0.0000010585302,0.00050225924,0.00006563811,0.023791082,0.97528726,0.0002017897],"about_ca_topic_score_codex":3.717883e-7,"about_ca_topic_score_gemma":0.0000051279985,"teacher_disagreement_score":0.55059594,"about_ca_system_score_codex":0.00002386952,"about_ca_system_score_gemma":0.000008207809,"threshold_uncertainty_score":0.99903715},"labels":[],"label_agreement":null},{"id":"W4250832678","doi":"10.1109/tsg.2013.2292211","title":"IEEE Transactions on Smart Grid publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Waterloo","funders":"","keywords":"Smart grid; Computer science; Grid; Database; Engineering; Electrical engineering; Mathematics","score_opus":0.009019005887775678,"score_gpt":0.1979524122638328,"score_spread":0.18893340637605713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250832678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06457785,0.000031925894,0.9124189,0.0011740845,0.013755105,0.0010525866,0.00028029163,0.0013537433,0.0053555416],"genre_scores_gemma":[0.9968305,0.00025805293,0.00045697053,0.000722037,0.0003576853,0.00061783276,0.00005256371,0.000058510446,0.00064581307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978254,0.00006380379,0.000649251,0.00033874344,0.0005423172,0.0005804888],"domain_scores_gemma":[0.9986011,0.0001490493,0.000081902675,0.00063899107,0.00022826111,0.00030070645],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019512638,0.0004166052,0.00030094487,0.00060533173,0.0005219002,0.00026583046,0.0003460566,0.00031063933,0.0013314143],"category_scores_gemma":[0.0000067392193,0.00041682424,0.000255015,0.0007714378,0.000109923305,0.0023435291,4.8208193e-7,0.00084318506,0.0054514157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011447529,0.00075381686,0.00003656098,0.00028257509,0.00030510203,0.0000041156986,0.0025188874,0.80992943,0.005909935,0.00010410184,0.06940493,0.110636055],"study_design_scores_gemma":[0.00315601,0.0008876372,0.0037321872,0.00031022413,0.00026606728,0.00014059694,0.0008072638,0.3565687,0.37159654,0.0001830654,0.25975704,0.0025946682],"about_ca_topic_score_codex":0.0002726171,"about_ca_topic_score_gemma":0.00016657091,"teacher_disagreement_score":0.9322527,"about_ca_system_score_codex":0.00022441978,"about_ca_system_score_gemma":0.00005915929,"threshold_uncertainty_score":0.99982834},"labels":[],"label_agreement":null},{"id":"W4251406131","doi":"10.1109/tsmc.2019.2942656","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; World Wide Web; Artificial intelligence","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251406131","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4251468949","doi":"10.32920/ryerson.14656977.v1","title":"An Intrusion Detection System for Smart Grid Neighborhood Area Network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Intrusion detection system; Smart grid; Distributed computing; Grid; Reliability (semiconductor); Overhead (engineering); Computation; Computer network; Computer security; Engineering; Operating system","score_opus":0.009819147293404233,"score_gpt":0.2077115750912639,"score_spread":0.19789242779785965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251468949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19352214,0.0012130154,0.77153146,0.000023412576,0.027745044,0.00092917524,0.000034251247,0.0017342023,0.0032672815],"genre_scores_gemma":[0.9939433,0.00015037015,0.002264653,0.000023447887,0.003151469,0.00018818465,0.000196251,0.00005582049,0.000026539454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862194,0.000044319782,0.00033580617,0.0004548348,0.00017648804,0.00036661705],"domain_scores_gemma":[0.9990781,0.00006371908,0.000054296892,0.000574072,0.000096731266,0.00013307895],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022242845,0.0003031842,0.00036822766,0.00007209042,0.00015203601,0.00018116343,0.0002752698,0.0005149766,0.00003411662],"category_scores_gemma":[0.00001746927,0.00028975485,0.00017388538,0.00014950713,0.000017428047,0.000119742566,0.00016380774,0.00049974886,0.000008263393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028441078,0.00003678571,0.0003647879,0.0020860843,0.000110079134,0.000013888218,0.00033316837,0.9840587,0.0036942442,0.00028267133,0.0013634579,0.007627695],"study_design_scores_gemma":[0.00022921318,0.0000687551,0.00080365624,0.000609786,0.000069370784,0.000028512415,0.0005100866,0.9742629,0.020549573,0.00018981064,0.0021294057,0.0005489199],"about_ca_topic_score_codex":0.00005897249,"about_ca_topic_score_gemma":0.0005147367,"teacher_disagreement_score":0.8004211,"about_ca_system_score_codex":0.00017144589,"about_ca_system_score_gemma":0.0000421254,"threshold_uncertainty_score":0.9999555},"labels":[],"label_agreement":null},{"id":"W4251489858","doi":"10.33423/jabe.v22i7.3259","title":"The Vulnerability of the United States Electrical Power Grid","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Grid; Power grid; Power (physics); Vulnerability assessment; Electric power; Business; Computer security; Electrical engineering; Computer science; Engineering; Geography; Psychology","score_opus":0.006902735110484723,"score_gpt":0.17401261748116337,"score_spread":0.16710988237067864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251489858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978322,0.00017989117,0.00016985637,0.0012456262,0.00030744445,0.000045427096,0.000003479327,0.000005288261,0.00021083433],"genre_scores_gemma":[0.9980494,0.0015759658,0.000039722356,0.00017575902,0.00015095671,5.916166e-7,5.542782e-7,0.0000062743034,8.010917e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995339,0.0000066012735,0.00027260082,0.00004814331,0.000043419634,0.00009533778],"domain_scores_gemma":[0.9996252,0.00009520729,0.000101875,0.00007601078,0.000054751352,0.000046950103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015431156,0.000065297114,0.0001441288,0.000019980163,0.00007907492,0.000032104297,0.00017017234,0.000035590496,0.000004627325],"category_scores_gemma":[0.000025767504,0.00003554161,0.000037265596,0.00017765995,0.00008408032,0.000048343074,0.00003011684,0.00018776064,6.4324774e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003973174,0.00005491633,0.003040383,0.00010546326,0.00015128923,0.0000019781455,0.001789922,0.97389495,0.0024143327,0.010092083,0.004206966,0.0038504114],"study_design_scores_gemma":[0.0027158915,0.00022986962,0.18153557,0.000065408174,0.00014355179,0.000100516714,0.002277991,0.34089267,0.024685537,0.011290004,0.43533498,0.0007280041],"about_ca_topic_score_codex":0.0000034435045,"about_ca_topic_score_gemma":0.0000037009252,"teacher_disagreement_score":0.6330023,"about_ca_system_score_codex":0.000016426884,"about_ca_system_score_gemma":0.000024241866,"threshold_uncertainty_score":0.14493448},"labels":[],"label_agreement":null},{"id":"W4251511392","doi":"10.1109/tsmc.2019.2928152","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; Cognitive science; Psychology; Artificial intelligence","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251511392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4251900800","doi":"10.32920/14640498","title":"Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National University of Sciences and Technology; Umm Al-Qura University","keywords":"Cyber-physical system; Computer science; Cloud computing; Wireless sensor network; Provisioning; Condition monitoring; Leverage (statistics); Systems engineering; Computer network; Engineering","score_opus":0.03531816453243953,"score_gpt":0.27416427217018663,"score_spread":0.2388461076377471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251900800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873209,0.002335179,0.004516498,0.000026071106,0.0029121786,0.0015760675,0.000015867467,0.0004521463,0.00084508583],"genre_scores_gemma":[0.9949734,0.00021794268,0.0002418974,0.0000077807335,0.003514347,0.00081460975,0.00003748399,0.000081077196,0.00011142737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830455,0.000055371605,0.0003133796,0.00060134876,0.00031320626,0.00041213166],"domain_scores_gemma":[0.998871,0.00023109367,0.00008347297,0.0005447544,0.0001616844,0.00010798998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022572857,0.00041866433,0.00061271864,0.00005960401,0.00014968259,0.00016810266,0.00018781653,0.00023040034,0.000002820819],"category_scores_gemma":[0.000007815853,0.00034059133,0.00009203526,0.00012057246,0.000025776413,0.00009652442,0.00012095866,0.000631557,0.0000062870267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000332364,0.00035998016,0.0006972896,0.0018740564,0.00021483339,0.0010626343,0.0043234625,0.9906529,0.000019167719,0.00011776195,0.0003336561,0.00031099786],"study_design_scores_gemma":[0.0020397024,0.00088366296,0.0011930002,0.0069681285,0.0005220883,0.00071087346,0.10368364,0.8800885,0.0009257528,0.000060472517,0.0010453054,0.0018788795],"about_ca_topic_score_codex":0.00028938163,"about_ca_topic_score_gemma":0.00036650742,"teacher_disagreement_score":0.11056443,"about_ca_system_score_codex":0.000104698374,"about_ca_system_score_gemma":0.000044287484,"threshold_uncertainty_score":0.99990463},"labels":[],"label_agreement":null},{"id":"W4252262743","doi":"10.1109/tsmc.2019.2959103","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Data science; Artificial intelligence","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252262743","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4252711766","doi":"10.1109/tsmc.2019.2899693","title":"IEEE Transactions on Systems, Man, and Cybernetics publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Information system; Data science; Cognitive science; Psychology; Engineering; Artificial intelligence; Electrical engineering","score_opus":0.007591220073912377,"score_gpt":0.18817131381286767,"score_spread":0.18058009373895528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252711766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34491444,0.0030489515,0.6149251,0.00014667069,0.019470233,0.0045035128,0.00053959625,0.0012039708,0.011247558],"genre_scores_gemma":[0.9944286,0.0010665194,0.000023941693,0.000049238635,0.00016296824,0.00028520517,0.000019360106,0.000070722745,0.0038934853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717003,0.0001689064,0.0010034236,0.00046104295,0.00066782907,0.0005287739],"domain_scores_gemma":[0.9984213,0.00017447563,0.00020513011,0.00065772544,0.00021678844,0.00032455605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041451264,0.0005128695,0.0005899858,0.00053167803,0.0003061421,0.0007539959,0.0002518768,0.00046929807,0.000022297687],"category_scores_gemma":[0.0000030297626,0.00050246547,0.000110147776,0.00040886103,0.00010476255,0.00067215745,0.0000012434447,0.00058360293,0.0004870507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007491473,0.00019054387,0.00009162348,0.003834596,0.00033401916,0.0000059991544,0.003307448,0.9820156,0.001322836,0.0022144222,0.0025546695,0.00405331],"study_design_scores_gemma":[0.0022126588,0.0006637338,0.00042041874,0.0016676679,0.00023787114,0.0004957954,0.005057294,0.9087386,0.0025326442,0.000011308441,0.07649339,0.0014686165],"about_ca_topic_score_codex":0.0005539453,"about_ca_topic_score_gemma":0.00006300255,"teacher_disagreement_score":0.64951414,"about_ca_system_score_codex":0.00020738329,"about_ca_system_score_gemma":0.000039139028,"threshold_uncertainty_score":0.9997427},"labels":[],"label_agreement":null},{"id":"W4253300967","doi":"10.1109/tsg.2013.2296692","title":"IEEE Transactions on Smart Grid publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Standards Association; University of Waterloo","funders":"","keywords":"Smart grid; Computer science; Grid; Distributed computing; Electrical engineering; Engineering; Mathematics","score_opus":0.008558793690156217,"score_gpt":0.20060768508206936,"score_spread":0.19204889139191314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253300967","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026456008,0.000016756368,0.9530282,0.00067513547,0.012410344,0.0004917888,0.00021693962,0.0010886578,0.0056161466],"genre_scores_gemma":[0.99739933,0.000182619,0.00044542504,0.0007260183,0.00047372808,0.00024776626,0.00005221742,0.00005684375,0.00041607625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784297,0.000090513575,0.00062321656,0.00034789293,0.00055086165,0.0005445743],"domain_scores_gemma":[0.99860203,0.00019853674,0.00008463303,0.00067181705,0.00016809936,0.00027489115],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034705683,0.00040691553,0.00031531454,0.0005951776,0.00054898695,0.00018638938,0.00034446645,0.00030557724,0.00040525798],"category_scores_gemma":[0.000011017165,0.00041560098,0.00025773578,0.00072499376,0.00010780233,0.0014286144,4.4881548e-7,0.00082317105,0.0020460484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000148052,0.0004695044,0.000022468797,0.00021629778,0.00017647354,0.0000021375588,0.0015276095,0.88418317,0.0025353625,0.00019576288,0.020260816,0.090262346],"study_design_scores_gemma":[0.0022431845,0.00070062745,0.0012051421,0.00020472507,0.000195976,0.00007892588,0.00024658395,0.35331154,0.23287618,0.000111673784,0.40726754,0.0015579014],"about_ca_topic_score_codex":0.00009223898,"about_ca_topic_score_gemma":0.00019914981,"teacher_disagreement_score":0.9709433,"about_ca_system_score_codex":0.00019565289,"about_ca_system_score_gemma":0.00004933757,"threshold_uncertainty_score":0.9998296},"labels":[],"label_agreement":null},{"id":"W4253879967","doi":"10.32920/ryerson.14654283","title":"Optimal Resource Allocation For QOS Supports In Smart Grid Neighborhood Area Network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Quality of service; Computer science; Smart grid; Computer network; Network packet; Latency (audio); Packet loss; Reliability (semiconductor); Wide area network; Grid; Telecommunications network; Distributed computing; Power (physics); Telecommunications; Engineering","score_opus":0.011187622258775506,"score_gpt":0.21583607915821465,"score_spread":0.20464845689943914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253879967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59445834,0.005951899,0.33801854,0.0012914601,0.020876741,0.0038554687,0.00011606209,0.0016210104,0.033810508],"genre_scores_gemma":[0.9857536,0.00038148012,0.008958289,0.0001893905,0.0026004938,0.00041259243,0.0011981435,0.00008691439,0.00041908573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983271,0.00003452659,0.00044839276,0.0004939946,0.00019783911,0.0004981944],"domain_scores_gemma":[0.9991417,0.00012640805,0.000054097007,0.0005123907,0.000057992456,0.00010742561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003108255,0.00031419008,0.00039450958,0.000100928875,0.00005512718,0.00011295923,0.0003024896,0.0004565388,0.00014694248],"category_scores_gemma":[0.00005066685,0.00033058604,0.00016299957,0.00019614707,0.000029162713,0.00008691358,0.00025080037,0.00061891275,0.0000067187807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013381046,0.000035047746,0.0017353663,0.00030685953,0.00004093538,0.000022708651,0.00047250363,0.96837217,0.000038882656,0.00018469579,0.028273834,0.0005036335],"study_design_scores_gemma":[0.00059087866,0.0000517263,0.007813452,0.00072311854,0.000060531624,0.000026043796,0.0006018417,0.9329737,0.0016853706,0.00031586827,0.054105874,0.0010515942],"about_ca_topic_score_codex":0.000048755403,"about_ca_topic_score_gemma":0.00041908768,"teacher_disagreement_score":0.39129528,"about_ca_system_score_codex":0.00010904115,"about_ca_system_score_gemma":0.00010411338,"threshold_uncertainty_score":0.99991465},"labels":[],"label_agreement":null},{"id":"W4255010938","doi":"10.1007/978-1-4614-6170-8_100813","title":"Cyberinfrastructure","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cyberinfrastructure; Computer science; Data science","score_opus":0.0036970232098162328,"score_gpt":0.15688124927465305,"score_spread":0.1531842260648368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255010938","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027106116,0.0003323512,0.0024295612,0.000012770705,0.0009828473,0.000053712552,0.0000062049057,0.00038569563,0.99576974],"genre_scores_gemma":[0.007865947,0.00027938522,0.00038964345,0.000108474225,0.00079385174,0.0000016066481,0.000015916527,0.00006812951,0.990477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995317,9.503375e-7,0.00011056737,0.00012296636,0.00011037757,0.00012346712],"domain_scores_gemma":[0.9996806,0.000014480572,0.000012183388,0.00022246643,0.000011788435,0.00005851188],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000018676701,0.00019092251,0.00017184256,0.0000478018,0.000021122756,0.000014961541,0.00014042539,0.00029973383,0.0029651045],"category_scores_gemma":[0.0000018709464,0.0001631844,0.00006989677,0.000006703767,0.000036589357,0.000015216134,0.000023138116,0.0002979903,0.0008034607],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001386761,6.392737e-7,0.0000036389263,0.00016951864,0.00006796521,0.00001660166,0.00006101201,0.0048421556,0.00010178612,0.7894398,0.1901475,0.01514798],"study_design_scores_gemma":[0.000034714056,0.000006455507,0.00002121677,0.000034819954,0.000008641059,0.0000122918555,7.3159975e-7,0.0009501591,0.00011190617,0.0073171696,0.99127245,0.00022943279],"about_ca_topic_score_codex":9.0463766e-7,"about_ca_topic_score_gemma":0.000012061425,"teacher_disagreement_score":0.801125,"about_ca_system_score_codex":0.000018838382,"about_ca_system_score_gemma":0.0000055949185,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W4255706078","doi":"10.35940/ijitee.k2109.1081219","title":"The Present Trends and Challenges in Renewable Energy Sources Connected to a Grid","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Smart grid; Grid; Electricity; Environmental economics; Computer science; Electricity system; Electricity generation; Risk analysis (engineering); Operations research; Telecommunications; Systems engineering; Business; Computer security; Power (physics); Engineering; Economics; Electrical engineering; Geography","score_opus":0.02279881529069317,"score_gpt":0.21908192890172778,"score_spread":0.19628311361103462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255706078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885323,0.0068053612,0.0007981491,0.0024782773,0.0011106726,0.000023736893,0.0000011203801,0.00005687839,0.00019350264],"genre_scores_gemma":[0.99401313,0.00552232,0.00028015536,0.000008994131,0.00013715641,0.000011222841,3.1115107e-7,0.0000092164555,0.000017468497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943733,0.000005479915,0.00022111845,0.00008427365,0.000116749674,0.00013503179],"domain_scores_gemma":[0.9996495,0.000099215955,0.000039684415,0.000062499,0.0001240817,0.000025019064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015991602,0.00008911596,0.00012815044,0.00093246874,0.000020891614,0.00002347214,0.00020408785,0.000054564152,0.0000020335146],"category_scores_gemma":[0.00007425824,0.00006919087,0.000011969487,0.00051432545,0.00003124067,0.00016986323,0.00007359978,0.00020475806,5.089623e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000201484,0.00006503354,0.025760842,0.000119411285,0.00073351886,0.00017986138,0.005099582,0.5520819,0.044226833,0.08364201,0.0004747387,0.2874148],"study_design_scores_gemma":[0.0034975086,0.0009248264,0.13803019,0.0020189579,0.000016568272,0.001216385,0.008442497,0.060688473,0.18589136,0.0038344478,0.5942655,0.0011732779],"about_ca_topic_score_codex":0.000008076116,"about_ca_topic_score_gemma":0.000019969271,"teacher_disagreement_score":0.59379077,"about_ca_system_score_codex":0.000034891826,"about_ca_system_score_gemma":0.000006072186,"threshold_uncertainty_score":0.2821522},"labels":[],"label_agreement":null},{"id":"W4281381850","doi":"10.1109/cpre55809.2022.9776596","title":"Substation SCADA Retrofit at Silicon Valley Power","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hitachi (Canada)","funders":"","keywords":"SCADA; Retrofitting; Engineering; Master station; Embedded system; Visibility; Computer science; Operating system; Electrical engineering","score_opus":0.005555570614849332,"score_gpt":0.18194175467045862,"score_spread":0.1763861840556093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281381850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686058,0.0002607835,0.00022730386,0.000102785605,0.0007562325,0.000069206166,0.000004899036,0.0002509475,0.029722044],"genre_scores_gemma":[0.9972974,0.00002267974,0.00006182128,0.00012387482,0.000028229255,0.000014692465,0.00001106635,0.000011836976,0.0024283736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994598,0.000016349875,0.00009242476,0.00010328082,0.00018313955,0.00014501583],"domain_scores_gemma":[0.9997919,0.000026977827,0.000008627765,0.00012469527,0.000009018897,0.000038763355],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000791041,0.00006296228,0.000059967366,0.00004090109,0.00015188157,0.000009685008,0.00010065656,0.00002200954,0.003665939],"category_scores_gemma":[0.0000068069635,0.00006249485,0.000031139065,0.0001415834,0.000012928617,0.00006431069,0.000057263893,0.000117702475,0.00012150858],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095589545,0.00012392836,0.037197553,0.000109119326,0.000105259904,0.00009328381,0.008567981,0.5275384,0.14180532,0.016027011,0.26662812,0.0017084121],"study_design_scores_gemma":[0.0016092319,0.00037518222,0.19044085,0.000015637766,0.000028452261,0.00013493834,0.0035023564,0.21366934,0.08687523,0.00093584624,0.5010649,0.0013480409],"about_ca_topic_score_codex":0.000020513744,"about_ca_topic_score_gemma":0.000049418213,"teacher_disagreement_score":0.31386906,"about_ca_system_score_codex":0.00011560811,"about_ca_system_score_gemma":0.000005819222,"threshold_uncertainty_score":0.99724483},"labels":[],"label_agreement":null},{"id":"W4281665732","doi":"10.3390/en15114164","title":"Situational Awareness for Smart Distribution Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"State Grid Corporation of China","keywords":"Situation awareness; Situational ethics; Renewable energy; Internet of Things; Climate change; Risk analysis (engineering); Distribution (mathematics); Computer science; Environmental economics; Computer security; Business; Architectural engineering; Engineering; Political science; Electrical engineering; Economics; Ecology","score_opus":0.010928172196529482,"score_gpt":0.2108620478736076,"score_spread":0.19993387567707813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281665732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97444373,0.0010895836,0.020618495,0.00006128023,0.0028597026,0.000118175085,0.00025732568,0.00024253657,0.0003091401],"genre_scores_gemma":[0.99892443,0.000014527074,0.000043052223,0.000007680598,0.0001528371,0.00024715968,0.00038088573,0.0000073378405,0.00022206825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960476,0.000012650397,0.000079449455,0.00007256676,0.00012422702,0.00010635201],"domain_scores_gemma":[0.999829,0.000055925477,0.0000100343605,0.00007038921,0.000017538327,0.000017135048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008381907,0.000050491562,0.000059780723,0.000020073428,0.0002312862,0.00001982934,0.00008297176,0.000016378732,0.000022293192],"category_scores_gemma":[0.000011793388,0.00005250657,0.000028665549,0.00008026193,0.00001344733,0.000053664346,0.000025465526,0.00004690615,0.0000030622364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003839084,0.0000070998817,0.0004990214,0.000030241423,0.000008134382,6.8542744e-7,0.00010327942,0.97316843,0.00055236823,0.014516366,0.010987651,0.00012290968],"study_design_scores_gemma":[0.00026955173,0.000038344773,0.0034777417,0.00000907075,0.00001014151,0.00001912525,0.0007081836,0.49607375,0.0028250432,0.0005115118,0.49584565,0.00021187535],"about_ca_topic_score_codex":0.000023823008,"about_ca_topic_score_gemma":0.0000052673,"teacher_disagreement_score":0.484858,"about_ca_system_score_codex":0.00006001053,"about_ca_system_score_gemma":0.000017579681,"threshold_uncertainty_score":0.21411557},"labels":[],"label_agreement":null},{"id":"W4283261634","doi":"10.1109/repec55671.2022.00019","title":"Leveraging Technology for Automation and NERC Compliance","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Vendor; Automation; Event (particle physics); Computer science; Service (business); Reliability (semiconductor); Fault management; Computer security; Engineering management; Engineering; Business","score_opus":0.018450881982272644,"score_gpt":0.22707231567359334,"score_spread":0.2086214336913207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283261634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8987093,0.0006261485,0.09558732,0.0009578366,0.00048817712,0.0002047572,0.000004835982,0.00084515073,0.0025764625],"genre_scores_gemma":[0.99699885,0.0000087289945,0.0027606238,0.00005037512,0.000015302869,0.00004833986,0.0000019276986,0.0000045403644,0.00011129188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997834,0.0000024087822,0.00004458648,0.00005968536,0.000033102002,0.00007679164],"domain_scores_gemma":[0.9999151,0.000015979756,0.0000043895884,0.000049589216,0.000005251948,0.000009695103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039580056,0.000030300474,0.00003886504,0.000046688383,0.00012095581,0.0000063857688,0.00004923717,0.000013353944,0.000032892185],"category_scores_gemma":[0.0000046324035,0.000031622338,0.000006889061,0.000092295064,0.000013865304,0.000031694322,0.000029125564,0.000054687538,0.0000018263318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024124392,0.000078468394,0.009333589,0.0007415887,0.00007605925,0.000013234577,0.004547338,0.5854564,0.07416444,0.11712035,0.038724817,0.16971962],"study_design_scores_gemma":[0.00017139276,0.000023536117,0.0013820536,0.0000045164516,0.0000021044593,0.000023857996,0.0005279644,0.94746894,0.0027331745,0.0024605962,0.045114387,0.00008748032],"about_ca_topic_score_codex":0.0000017966979,"about_ca_topic_score_gemma":0.0000016608684,"teacher_disagreement_score":0.3620126,"about_ca_system_score_codex":0.000016822658,"about_ca_system_score_gemma":0.000002567438,"threshold_uncertainty_score":0.12895215},"labels":[],"label_agreement":null},{"id":"W4285043087","doi":"10.3390/jsan11030034","title":"A Trust-Influenced Smart Grid: A Survey and a Proposal","year":2022,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Computer science; Modbus; Computer security; Context (archaeology); Smart grid; NIST; Intrusion detection system; Grid; Encryption; Computer network; Communications protocol; Engineering","score_opus":0.006207250825200838,"score_gpt":0.2005923831284812,"score_spread":0.19438513230328036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285043087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966439,0.0018822717,0.0003339395,0.00008133432,0.0008796547,0.00007751288,0.000011915036,0.000023061377,0.000066383785],"genre_scores_gemma":[0.9986195,0.0006271204,0.00026419706,0.00008661071,0.00036326324,0.0000021563162,0.0000017355921,0.000014908596,0.000020491769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99914986,0.00008121758,0.0002683021,0.00009333936,0.0002045749,0.00020273628],"domain_scores_gemma":[0.9995288,0.00013090698,0.00008193094,0.000072074254,0.000041390496,0.00014489898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004951034,0.00011670837,0.00022647771,0.000080555124,0.00017153523,0.000050192783,0.00010024927,0.000049186096,0.000044125132],"category_scores_gemma":[0.000035655652,0.00009650882,0.00004447167,0.00015629515,0.000059952916,0.0001253888,0.00005154562,0.00052013336,4.6969552e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020103399,0.00041159213,0.34355196,0.00037351935,0.0009681839,0.0015803233,0.009044493,0.5384067,0.008991095,0.00035786806,0.046396084,0.0479078],"study_design_scores_gemma":[0.0038236335,0.0014229678,0.5161885,0.00014054759,0.000145373,0.0055408673,0.0022430478,0.4314254,0.00041939426,0.0003499468,0.037223022,0.0010773161],"about_ca_topic_score_codex":0.000011235478,"about_ca_topic_score_gemma":0.000011844663,"teacher_disagreement_score":0.17263652,"about_ca_system_score_codex":0.000026380383,"about_ca_system_score_gemma":0.000027982096,"threshold_uncertainty_score":0.39355153},"labels":[],"label_agreement":null},{"id":"W4285103619","doi":"10.1109/isgt50606.2022.9817514","title":"Robust Autoencoder-based State Estimation in Power Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autoencoder; Computer science; Estimator; Reliability (semiconductor); State (computer science); Exploit; Process (computing); Smart grid; Measure (data warehouse); Data mining; Artificial intelligence; Units of measurement; Task (project management); Construct (python library); Cyber-physical system; Power (physics); Algorithm; Deep learning; Computer security; Statistics; Mathematics; Engineering","score_opus":0.011107105044255088,"score_gpt":0.19130427559307062,"score_spread":0.18019717054881554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285103619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5658707,0.00036166763,0.42109698,0.00014097373,0.0018380628,0.000326153,0.000018126602,0.00063744775,0.009709877],"genre_scores_gemma":[0.9989,0.0000022423785,0.0008196123,0.00003213663,0.0000032357564,0.000042150205,0.000006868804,0.00000922703,0.00018453125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994784,0.000025609728,0.0001253276,0.00008566548,0.00014788142,0.00013709784],"domain_scores_gemma":[0.99983007,0.000028381799,0.000009421463,0.00010000566,0.0000061772107,0.000025956006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013663917,0.000058597845,0.000069669455,0.000091120084,0.000053573633,0.000020044172,0.000086658976,0.000014826472,0.00022075296],"category_scores_gemma":[0.0000064871674,0.000058493362,0.0000152269995,0.00020426947,0.000008926878,0.000066725916,0.000017565842,0.00012978348,0.000022058806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022498457,0.000015198906,0.0003454371,0.000022339664,0.0000018407248,0.00000963323,0.00023179782,0.9978208,0.000087517605,0.0002027405,0.0012150132,0.0000454596],"study_design_scores_gemma":[0.00014508102,0.000019529427,0.0012518256,0.000006907102,7.801569e-7,0.0000032055918,0.00017128438,0.99627656,0.00013205095,0.000024231484,0.0018864837,0.00008205471],"about_ca_topic_score_codex":0.00008375125,"about_ca_topic_score_gemma":0.0000382087,"teacher_disagreement_score":0.43302926,"about_ca_system_score_codex":0.00009528671,"about_ca_system_score_gemma":0.000018337996,"threshold_uncertainty_score":0.24170901},"labels":[],"label_agreement":null},{"id":"W4285116599","doi":"10.1109/tifs.2022.3173728","title":"Attack-Resilient Optimal PMU Placement via Reinforcement Learning Guided Tree Search in Smart Grids","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Concordia University","funders":"National Natural Science Foundation of China","keywords":"Observability; Reinforcement learning; Computer science; Smart grid; Phasor; Smart meter; Tree (set theory); Units of measurement; Installation; Grid; Real-time computing; Artificial intelligence; Electric power system; Engineering; Power (physics)","score_opus":0.01222098638477174,"score_gpt":0.22932889213517507,"score_spread":0.21710790575040334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285116599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6199136,0.000047359932,0.3760938,0.00010954912,0.00089626375,0.00048505064,0.000034864708,0.00017024795,0.0022492649],"genre_scores_gemma":[0.9993043,0.00014978688,0.00017949007,0.00011874404,0.000017299848,0.00010429901,0.000053546322,0.000012373679,0.000060138926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984217,0.0000541735,0.00051188824,0.00014843527,0.000516451,0.00034733288],"domain_scores_gemma":[0.9995592,0.000049444665,0.00004827617,0.00017577673,0.000052256568,0.000115004405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040912413,0.00019657363,0.00018681858,0.00033412804,0.000519138,0.00006683102,0.00013086434,0.000073088515,0.0001905038],"category_scores_gemma":[0.0000032682499,0.000213174,0.000075705066,0.0003679779,0.00006623496,0.000539478,0.000010863569,0.0007546828,0.000024251867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006526289,0.000032823526,0.00006780579,0.00006176881,0.000022033388,0.0000024584958,0.006380563,0.98725027,0.000040540952,0.00020156002,0.000605316,0.00526962],"study_design_scores_gemma":[0.0010513271,0.00029537897,0.00027189383,0.000019779533,0.000012614351,0.000026001793,0.002234473,0.9797955,0.0024921976,0.000040930507,0.013477161,0.00028271961],"about_ca_topic_score_codex":0.000106992746,"about_ca_topic_score_gemma":0.000088408204,"teacher_disagreement_score":0.37939072,"about_ca_system_score_codex":0.00026768987,"about_ca_system_score_gemma":0.000036475747,"threshold_uncertainty_score":0.86929834},"labels":[],"label_agreement":null},{"id":"W4285186354","doi":"10.1109/tsg.2022.3174250","title":"Resilient Model Predictive Adaptive Control of Networked Z-Source Inverters Using GMDH","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Australian Research Council","keywords":"Control theory (sociology); Model predictive control; Controller (irrigation); Smart grid; Electric power system; Computer science; Kalman filter; Noise (video); Estimator; Control engineering; Engineering; Power (physics); Control (management); Artificial intelligence","score_opus":0.014587613691046847,"score_gpt":0.202313651864082,"score_spread":0.18772603817303515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285186354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1736266,0.000090840906,0.823368,0.000027472108,0.0019358548,0.0003169417,0.00026410873,0.00017992522,0.00019024636],"genre_scores_gemma":[0.9990869,0.000027145787,0.00046620244,0.000109076165,0.00009427321,0.00008740611,0.0000034145314,0.00004251573,0.000083069084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852306,0.00010620806,0.00033400577,0.0002738706,0.00042110687,0.00034174594],"domain_scores_gemma":[0.99936706,0.00011256749,0.00005936138,0.00029664926,0.000048175953,0.0001162061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017917862,0.00021661617,0.00028904973,0.00020791008,0.00037259795,0.000010629242,0.0002320521,0.00007453666,0.00007060203],"category_scores_gemma":[0.0000020834163,0.00023639674,0.00017603533,0.00041109842,0.00012168457,0.000137716,0.000003463879,0.0004915202,0.000004725122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025214112,0.00011767253,0.000043020853,0.00001810864,0.00010637844,0.000003931126,0.0010308366,0.99453,0.0026865394,0.000016010146,0.0006045791,0.0005907546],"study_design_scores_gemma":[0.00079140556,0.00020520587,0.000042413532,0.000030183795,0.00008825,0.000014721026,0.00056161097,0.9905397,0.0068448647,0.000024430796,0.000637487,0.00021967269],"about_ca_topic_score_codex":0.0000960213,"about_ca_topic_score_gemma":0.00005812452,"teacher_disagreement_score":0.8254603,"about_ca_system_score_codex":0.00023698932,"about_ca_system_score_gemma":0.00006407715,"threshold_uncertainty_score":0.96399796},"labels":[],"label_agreement":null},{"id":"W4285293659","doi":"10.1109/tpwrd.2022.3175148","title":"Resilience Enhancement of Pilot Protection in Power Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Resilience (materials science); Denial-of-service attack; Electric power system; Computer security; Controller (irrigation); SCADA; Computer science; Engineering; Reliability engineering; Power (physics); Electrical engineering; The Internet","score_opus":0.011819660750238638,"score_gpt":0.20020792165388832,"score_spread":0.18838826090364968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285293659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78591096,0.00031738065,0.20949294,0.000020856876,0.0027425166,0.0004503039,0.00002997005,0.000101025864,0.0009340594],"genre_scores_gemma":[0.99942124,0.00008357522,0.000029623785,0.000018801633,0.000005374525,0.00024435736,6.260063e-7,0.000016298134,0.00018012822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988949,0.00006851105,0.00029114276,0.0001979543,0.0003378069,0.00020971693],"domain_scores_gemma":[0.99963444,0.000035110934,0.000034140838,0.0002270181,0.00002841396,0.000040863357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018651024,0.00012390249,0.0001519809,0.00027326847,0.0001334224,0.000010809723,0.00016299794,0.00003660127,0.00031518246],"category_scores_gemma":[0.0000015082811,0.0001370625,0.00005398856,0.00045630513,0.000042209533,0.00013254111,0.0000021232174,0.00037584789,0.000024261493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012904995,0.00033329247,0.000011333322,0.00005344189,0.000021085312,0.000010267092,0.00087313686,0.9252281,0.072846055,0.00002593257,0.00016376661,0.00030449615],"study_design_scores_gemma":[0.0032650682,0.0067072785,0.0019150092,0.0005091283,0.00006458984,0.00014544172,0.00637032,0.23509343,0.73095876,0.00007241034,0.013271311,0.0016272552],"about_ca_topic_score_codex":0.00016572377,"about_ca_topic_score_gemma":0.00003772487,"teacher_disagreement_score":0.6901347,"about_ca_system_score_codex":0.00020918314,"about_ca_system_score_gemma":0.000029309947,"threshold_uncertainty_score":0.5589246},"labels":[],"label_agreement":null},{"id":"W4285328486","doi":"10.1109/hpcc-dss-smartcity-dependsys53884.2021.00294","title":"False Data Injection Attack Detection Based on Wavelet Packet Decomposition and Random Forest in Smart Grid","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Smart grid; Network packet; Wavelet packet decomposition; Random forest; Reliability (semiconductor); Wavelet; Data mining; Grid; Stability (learning theory); Wavelet transform; Real-time computing; Power (physics); Artificial intelligence; Machine learning; Engineering; Computer security; Mathematics","score_opus":0.01771256924203384,"score_gpt":0.25196940535587925,"score_spread":0.2342568361138454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285328486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97023034,0.00010131929,0.02729683,0.00010776091,0.0007651097,0.0001475837,0.000022380988,0.00013522756,0.0011934742],"genre_scores_gemma":[0.9990759,0.000087161265,0.0003959376,0.00009705724,0.00012396369,0.000009515953,0.00018150375,0.000012037571,0.000016910997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992894,0.00005266221,0.00015654271,0.00023938039,0.00011325466,0.00014877903],"domain_scores_gemma":[0.99951375,0.000114071176,0.000013140715,0.00029118656,0.000020313066,0.00004752556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018568306,0.00010490172,0.00012201429,0.00010046928,0.000060832375,0.00004796904,0.00007039479,0.00008335823,0.000032733573],"category_scores_gemma":[0.00005442878,0.00010108285,0.00001937286,0.0002246575,0.00001955794,0.00022653925,0.00003513681,0.0001602621,0.000014415738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012033376,0.0005647649,0.047179345,0.0007179329,0.000089290705,0.00025478183,0.0006315079,0.82280475,0.051844627,0.00021603299,0.010545127,0.06394853],"study_design_scores_gemma":[0.0016295805,0.00006209823,0.041765865,0.00005826182,0.000008841978,0.00003528499,0.00006066227,0.9335036,0.020776361,0.00004658172,0.0018916292,0.00016118406],"about_ca_topic_score_codex":0.000060880702,"about_ca_topic_score_gemma":0.006597417,"teacher_disagreement_score":0.11069893,"about_ca_system_score_codex":0.000043400436,"about_ca_system_score_gemma":0.000013129335,"threshold_uncertainty_score":0.41220388},"labels":[],"label_agreement":null},{"id":"W4285725498","doi":"10.1016/j.automatica.2022.110461","title":"Stochastic detection against deception attacks in CPS: Performance evaluation and game-theoretic analysis","year":2022,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Liaoning Revitalization Talents Program; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Deception; Game theory; Computer security; Computer science; Psychology; Artificial intelligence; Mathematical economics; Mathematics; Social psychology","score_opus":0.006214187479888459,"score_gpt":0.2227324356399929,"score_spread":0.21651824816010443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285725498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98986024,0.00018458095,0.009166583,0.000016076074,0.00015200654,0.00020629786,0.000001834573,0.00013492026,0.00027744964],"genre_scores_gemma":[0.9996927,0.00004364299,0.00007693864,0.000016535723,0.00001755621,0.00012703752,0.000012156648,0.0000091154925,0.00000435957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918795,0.000079789024,0.00018093866,0.00013401026,0.00027360386,0.00014369037],"domain_scores_gemma":[0.9997343,0.00005860948,0.000026882613,0.00013153399,0.000017605948,0.00003111156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046876702,0.000081968334,0.00012162811,0.00029344673,0.0001051847,0.000020011048,0.00006675217,0.000031179134,0.0001399422],"category_scores_gemma":[0.000043767428,0.00008790921,0.00003038806,0.0007316388,0.00003542481,0.00010742036,0.000030232706,0.00015057686,0.0000119057595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004714207,0.000014966801,0.00093294727,0.000034702152,0.000032427877,6.774654e-7,0.0014427907,0.9645218,0.00083187677,0.000025051508,0.0000064400615,0.0321516],"study_design_scores_gemma":[0.00018646927,0.000034161778,0.08101441,0.0000108367385,0.000093400966,0.0000035782211,0.00024615196,0.91798973,0.00018408506,0.00012461485,0.000016483455,0.00009604932],"about_ca_topic_score_codex":0.0000040946616,"about_ca_topic_score_gemma":0.000039662595,"teacher_disagreement_score":0.08008146,"about_ca_system_score_codex":0.00015435819,"about_ca_system_score_gemma":0.000011483657,"threshold_uncertainty_score":0.35848337},"labels":[],"label_agreement":null},{"id":"W4285814201","doi":"10.1109/icps51978.2022.9816944","title":"A Diagnosis Method of Inverter Anomalies under DoS Attack Based on Interval Sliding Mode Observer","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Observer (physics); Robustness (evolution); Upper and lower bounds; Computer science; Residual; State observer; Inverter; Mathematics; Engineering; Algorithm; Voltage; Artificial intelligence; Nonlinear system","score_opus":0.03603826841609593,"score_gpt":0.2809100202038528,"score_spread":0.24487175178775689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285814201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9487404,0.00010307627,0.046914387,0.00028028313,0.00061644375,0.0001589654,0.000028937786,0.00019032683,0.0029671795],"genre_scores_gemma":[0.9957608,0.000011964849,0.0034010638,0.00058782945,0.000031209624,0.00007831869,0.0000055062296,0.00002027484,0.00010300979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991608,0.00008827629,0.0001848711,0.00016146667,0.00022522047,0.00017932574],"domain_scores_gemma":[0.9994703,0.0002379435,0.00002138356,0.00021129471,0.000014146172,0.000044965673],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017105852,0.000121051715,0.00017619046,0.00010379654,0.00007461667,0.000014045043,0.000205456,0.000037547867,0.0010941429],"category_scores_gemma":[0.000016047423,0.00011016999,0.00010381557,0.00020575502,0.000017642471,0.00008595306,0.000090523085,0.00018230283,0.000009968058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019930094,0.000077416604,0.006193537,0.000082868646,0.000034740704,0.000005230534,0.0007801354,0.983959,0.0015144363,0.0008074343,0.005864713,0.0006605404],"study_design_scores_gemma":[0.00028287235,0.00008312091,0.0045189783,0.000027985714,0.000013670628,0.0000025442396,0.00054300943,0.9691586,0.023404045,0.00009949188,0.0016958474,0.00016982201],"about_ca_topic_score_codex":0.00009134062,"about_ca_topic_score_gemma":0.000055252003,"teacher_disagreement_score":0.047020424,"about_ca_system_score_codex":0.00007328164,"about_ca_system_score_gemma":0.000012994834,"threshold_uncertainty_score":0.999819},"labels":[],"label_agreement":null},{"id":"W4286111065","doi":"10.1145/3524454","title":"Coordinated Charging and Discharging of Electric Vehicles: A New Class of Switching Attacks","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hitachi (Canada); Concordia University","funders":"","keywords":"Grid; Computer science; Electric power system; Smart grid; Computer security; Cyber-attack; Identification (biology); Stability (learning theory); Power (physics); Electrical engineering; Engineering","score_opus":0.009519715874805766,"score_gpt":0.21957807890647313,"score_spread":0.21005836303166736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286111065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967457,0.00042371574,0.031113004,0.00009328329,0.00036164647,0.0002463418,0.000024410623,0.00012598916,0.00015460409],"genre_scores_gemma":[0.99971247,0.00003595277,0.00003835275,0.000006953181,0.00007688964,0.000037788974,0.0000024949686,0.00002821186,0.0000608688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988701,0.00007271386,0.00030393028,0.0002105248,0.00029257074,0.00025018217],"domain_scores_gemma":[0.99926764,0.00024627027,0.00007323356,0.00029319344,0.000023605611,0.00009603081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013156679,0.00016140341,0.00035835002,0.0001788248,0.00020881709,0.000018585415,0.00025096157,0.000044535132,0.000010982612],"category_scores_gemma":[0.00001200238,0.00015967462,0.00010622517,0.00066015194,0.000027367969,0.00012594345,0.00001358671,0.0004425895,0.000003048653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006655145,0.0003159452,0.0003402126,0.00054538925,0.00024850943,0.000007380838,0.0058381017,0.50984,0.46334743,0.0012435914,0.00012975269,0.018077144],"study_design_scores_gemma":[0.0017386337,0.0005900899,0.001916502,0.00045592702,0.00018207241,0.00007146407,0.003552633,0.8776703,0.11045376,0.00044897318,0.0021751423,0.00074450485],"about_ca_topic_score_codex":0.00035612247,"about_ca_topic_score_gemma":0.0000063956963,"teacher_disagreement_score":0.3678303,"about_ca_system_score_codex":0.00007450423,"about_ca_system_score_gemma":0.000027495787,"threshold_uncertainty_score":0.6511342},"labels":[],"label_agreement":null},{"id":"W4287667853","doi":"10.48550/arxiv.2009.06196","title":"Cyber Attack and Machine Induced Fault Detection and Isolation Methodologies for Cyber-Physical Systems","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Qatar National Research Fund; Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Cyber-physical system; Adversary; Computer science; Isolation (microbiology); Fault detection and isolation; Computer security; Replay attack; Cyber-attack; Observer (physics); Actuator; Detector; Covert; Real-time computing; Authentication (law); Artificial intelligence; Telecommunications","score_opus":0.14617294132451894,"score_gpt":0.23490956428379473,"score_spread":0.08873662295927578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287667853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7749135,0.0001834513,0.22362468,0.000021586266,0.0005188142,0.00036090479,0.000027586284,0.00021262196,0.00013689698],"genre_scores_gemma":[0.9991136,0.00026432791,0.00034788303,0.000008144031,0.00018401946,0.000003570146,0.000014283551,0.000022306966,0.000041867374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910516,0.00008638027,0.00011920183,0.0004740108,0.00004188748,0.00017335065],"domain_scores_gemma":[0.9993405,0.00026328774,0.00006443476,0.00019201316,0.000046880414,0.00009292612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012429869,0.0002282088,0.00031566023,0.000100849036,0.000107097614,0.000057944995,0.00013506685,0.00028460068,9.788025e-7],"category_scores_gemma":[0.00007099215,0.00024517413,0.000073482595,0.00014740389,0.00006311404,0.00014708069,0.00021943332,0.00042681594,0.0000033371457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001600117,0.000025620335,0.0011334104,0.0013489105,0.00026645735,0.00003151262,0.0013819103,0.9715205,0.018095478,0.003936707,0.00008683218,0.0020126672],"study_design_scores_gemma":[0.00033334273,0.00006704601,0.0021858711,0.000055040964,0.00011420987,0.0000048090383,0.00022509403,0.9927476,0.0015403563,0.0021591412,0.0002730401,0.00029445728],"about_ca_topic_score_codex":0.00010414121,"about_ca_topic_score_gemma":0.00006277098,"teacher_disagreement_score":0.22420013,"about_ca_system_score_codex":0.000067609544,"about_ca_system_score_gemma":0.000012988038,"threshold_uncertainty_score":0.9997911},"labels":[],"label_agreement":null},{"id":"W4288699019","doi":"10.36227/techrxiv.20387397.v1","title":"Cybersecurity of Electric Vehicles Charging Systems By Using Residual Generation Technique","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Testbed; Denial-of-service attack; Residual; Computer security; Electric vehicle; Computer science; Wireless; Cyber-physical system; Embedded system; Electrical engineering; Computer network; Engineering; Telecommunications; Physics; Operating system","score_opus":0.019352879272841114,"score_gpt":0.23734697847364358,"score_spread":0.21799409920080248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288699019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96082383,0.0071074255,0.027988112,0.000013986682,0.001343319,0.0008370209,0.00009480548,0.0004627156,0.0013287942],"genre_scores_gemma":[0.99799323,0.0005453571,0.00079639687,0.000007030526,0.00033132886,0.0001264268,0.0001046569,0.00004217928,0.000053395113],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985487,0.00010492453,0.00042611113,0.00031421802,0.00034946683,0.00025661022],"domain_scores_gemma":[0.9994047,0.00003632712,0.00011122039,0.00035080416,0.00004802961,0.000048912287],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042252132,0.00023599506,0.00034329566,0.0002352758,0.00011543332,0.000050893068,0.00030296863,0.000288339,0.00006119543],"category_scores_gemma":[0.000018095208,0.00025479164,0.00008066857,0.0002517118,0.0000253075,0.00007581073,0.00023615292,0.0007780456,0.0000013073192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029331168,0.000027496058,0.00014013058,0.00068013166,0.000051580282,0.000004829965,0.0003565725,0.3790814,0.61499137,0.0004798642,0.0040859864,0.00009768235],"study_design_scores_gemma":[0.00007475649,0.00001973456,0.000027401064,0.00010504877,0.000032386357,0.0000148713925,0.00013720586,0.6592516,0.3387084,0.00005888465,0.0011982546,0.0003714815],"about_ca_topic_score_codex":0.0007086323,"about_ca_topic_score_gemma":0.000011443163,"teacher_disagreement_score":0.28017017,"about_ca_system_score_codex":0.00024321224,"about_ca_system_score_gemma":0.00007761706,"threshold_uncertainty_score":0.9999904},"labels":[],"label_agreement":null},{"id":"W4288772231","doi":"10.1016/j.ifacol.2022.07.148","title":"An Event-Triggered Watermarking Strategy for Detection of Replay Attacks","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Digital watermarking; Replay attack; Scheme (mathematics); Observer (physics); Generator (circuit theory); Controller (irrigation); Watermark; Control theory (sociology); Signature (topology); Residual; Invariant (physics); Algorithm; Control (management); Artificial intelligence; Authentication (law); Power (physics); Computer security; Mathematics","score_opus":0.013781749085175843,"score_gpt":0.2600570728600538,"score_spread":0.24627532377487796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288772231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930411,0.00033298117,0.005125589,0.000042301435,0.0007600017,0.00026856063,0.00013274053,0.00017027523,0.00012643184],"genre_scores_gemma":[0.99649525,0.000030040477,0.0029633217,0.000032521275,0.00022026026,0.000059232563,0.00008352384,0.000028908971,0.00008692558],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990531,0.000040806153,0.00025816567,0.00020877049,0.00019009663,0.00024905862],"domain_scores_gemma":[0.9995709,0.000050216924,0.000050906958,0.0002318138,0.00003279443,0.000063373525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022771572,0.00013227326,0.00017978702,0.000087652224,0.00019574737,0.000015625617,0.0001923473,0.000059003167,0.00010567477],"category_scores_gemma":[0.0000149801,0.0001319975,0.000092543414,0.0001749321,0.000027164162,0.00013393309,0.000026992633,0.00019507787,0.0000022284712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095566014,0.00008832171,0.00021073582,0.00012017859,0.000039216637,0.0000071294776,0.00086579507,0.34177998,0.6432887,0.000024380142,0.000011884228,0.013468146],"study_design_scores_gemma":[0.0011302452,0.00077399565,0.00169157,0.000027742255,0.00004537847,0.00003912213,0.001719881,0.74787635,0.24104758,0.00010743784,0.0051113986,0.00042927486],"about_ca_topic_score_codex":0.000029160268,"about_ca_topic_score_gemma":0.00007647362,"teacher_disagreement_score":0.4060964,"about_ca_system_score_codex":0.00006607241,"about_ca_system_score_gemma":0.000020692627,"threshold_uncertainty_score":0.5382702},"labels":[],"label_agreement":null},{"id":"W4288783082","doi":"10.1109/access.2022.3194989","title":"Modeling Cascading Failures in Coupled Smart Grid Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Cascading failure; Computer science; Smart grid; Distributed computing; Interdependence; Electric power system; Power-system protection; Telecommunications network; Network packet; Electric power transmission; Grid; Interdependent networks; Computer network; Complex network; Power (physics); Engineering","score_opus":0.01667978879137098,"score_gpt":0.24261394988743223,"score_spread":0.22593416109606126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288783082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719757,0.0008193304,0.023255164,0.000058449677,0.0031459078,0.00013776524,0.000004190112,0.00019717982,0.00040635848],"genre_scores_gemma":[0.99932563,0.0000926803,0.000036288056,0.00009201438,0.00033809518,0.00006905281,0.000006738092,0.00002459418,0.000014932569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990716,0.000030451723,0.00020259287,0.00018059518,0.00019021312,0.0003245379],"domain_scores_gemma":[0.99970144,0.00004769423,0.000014272013,0.00017211167,0.000011919301,0.000052533385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021284494,0.00011835325,0.00015064524,0.00013325308,0.00017576892,0.000078895624,0.0004689252,0.00004716109,0.000090385576],"category_scores_gemma":[0.000008960304,0.00012971282,0.000041608124,0.00041843278,0.000014969748,0.00029049406,0.00011313309,0.00044159155,0.0000046003684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006965051,0.000011364278,0.0024003105,0.000017509095,0.000007709571,0.00003709652,0.00027712656,0.99598914,0.00026058004,0.000034207493,0.00079100695,0.00016698873],"study_design_scores_gemma":[0.00019544324,0.000007785745,0.00038499205,0.000015280842,0.0000039977353,0.000011658163,0.00011453488,0.997783,0.00019898362,0.00006693644,0.0010454414,0.00017195835],"about_ca_topic_score_codex":0.0005957116,"about_ca_topic_score_gemma":0.00066000747,"teacher_disagreement_score":0.027349949,"about_ca_system_score_codex":0.0000965949,"about_ca_system_score_gemma":0.000014002906,"threshold_uncertainty_score":0.5289535},"labels":[],"label_agreement":null},{"id":"W4289950852","doi":"10.1109/access.2022.3186328","title":"Divergence-Based Transferability Analysis for Self-Adaptive Smart Grid Intrusion Detection With Transfer Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs","keywords":"Computer science; Transfer of learning; Divergence (linguistics); Artificial intelligence; Machine learning; Intrusion detection system; Grid; Classifier (UML); Data mining; Transferability; Deep learning; Mathematics","score_opus":0.014608830426807638,"score_gpt":0.22384958259402024,"score_spread":0.2092407521672126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289950852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6355268,0.000029736319,0.3633821,0.000015580245,0.00047505382,0.0002718023,0.000027929142,0.0002325892,0.000038462702],"genre_scores_gemma":[0.999334,0.000016088108,0.000182682,0.000028486598,0.00009606216,0.00029538557,0.00002014932,0.000021344797,0.0000058016617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886465,0.0000947177,0.00019145092,0.00030598856,0.0002877355,0.00025545413],"domain_scores_gemma":[0.9995779,0.00011670242,0.0000147500095,0.00016475009,0.000059075264,0.00006685412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026567047,0.00016120097,0.00023082577,0.00021023936,0.00055474084,0.0000485453,0.00028092408,0.00005186228,0.00013716271],"category_scores_gemma":[0.000005925096,0.00014837012,0.00016176992,0.0011329907,0.00003394123,0.00025411224,0.0000146397615,0.00034088222,0.0000013397635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025366785,0.000063921616,0.016673774,0.00006340726,0.000224561,0.0000034426248,0.00081727304,0.9775311,0.0028097725,0.000005326542,0.000012393248,0.0015413803],"study_design_scores_gemma":[0.0009355874,0.0005616887,0.031423174,0.000009379838,0.0005647732,0.0000032234123,0.00027181616,0.8568817,0.10696122,0.000041081916,0.0019039864,0.00044241623],"about_ca_topic_score_codex":0.00013061042,"about_ca_topic_score_gemma":0.0007652859,"teacher_disagreement_score":0.36380723,"about_ca_system_score_codex":0.00014303131,"about_ca_system_score_gemma":0.000030488307,"threshold_uncertainty_score":0.6050358},"labels":[],"label_agreement":null},{"id":"W4291803904","doi":"10.1109/isncc55209.2022.9851807","title":"Wireless Meter Bus: Secure Remote Metering within the IoT Smart Grid","year":2022,"lang":"en","type":"article","venue":"2022 International Symposium on Networks, Computers and Communications (ISNCC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Metering mode; Internet of Things; Computer science; Metre; Wireless; Smart meter; Automatic meter reading; Smart grid; Embedded system; Computer network; Telecommunications; Electrical engineering; Engineering","score_opus":0.009744910615940133,"score_gpt":0.21389718595624516,"score_spread":0.20415227534030503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291803904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70585686,0.014005301,0.12921003,0.070542626,0.052877486,0.0026788942,0.00046761928,0.0021700738,0.022191122],"genre_scores_gemma":[0.99504334,0.0015968014,0.0016238857,0.0009319256,0.0004241458,0.00006106306,0.00012732943,0.000040532956,0.00015100538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849576,0.00022527007,0.0003735293,0.00027957818,0.00038852566,0.0002373213],"domain_scores_gemma":[0.99838823,0.00039244795,0.00010516531,0.0009835754,0.000053403248,0.00007715068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044846756,0.00022068899,0.00018981787,0.0001029688,0.0009336541,0.00017836837,0.0018987041,0.00005580389,0.000054642744],"category_scores_gemma":[0.0000067209403,0.00019578476,0.00010790495,0.00032217632,0.00019467773,0.00009631228,0.0012175674,0.00085470063,0.000006754585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003730926,0.00008749761,0.00016877874,0.000013651522,0.0002693007,0.000008169189,0.001984985,0.9646934,0.00031089762,0.013691032,0.01167677,0.0070581757],"study_design_scores_gemma":[0.0002355121,0.000061770035,0.000260181,0.000047441365,0.000020796648,0.000066802495,0.00039571483,0.9227473,0.000040403957,0.00018278733,0.07571587,0.00022540725],"about_ca_topic_score_codex":0.00009636802,"about_ca_topic_score_gemma":0.00010254929,"teacher_disagreement_score":0.28918645,"about_ca_system_score_codex":0.00015276347,"about_ca_system_score_gemma":0.000015775267,"threshold_uncertainty_score":0.79838705},"labels":[],"label_agreement":null},{"id":"W4293009556","doi":"10.3390/en15176140","title":"Edge Computing for IoT-Enabled Smart Grid: The Future of Energy","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Smart grid; Computer science; Electricity; Grid; Telecommunications; Electrical engineering; Systems engineering; Engineering","score_opus":0.005054300197603609,"score_gpt":0.1893674899611461,"score_spread":0.1843131897635425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293009556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795615,0.009244491,0.0019589546,0.00046962782,0.0061546033,0.0001175645,0.000034377183,0.00023325223,0.0022256249],"genre_scores_gemma":[0.99813354,0.00010331737,0.00039796412,0.00009694378,0.0009170799,0.0000374669,0.000014377769,0.000017835744,0.00028144906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942267,0.000029229508,0.00013864931,0.00009697782,0.00013188599,0.00018058071],"domain_scores_gemma":[0.9996266,0.0001350143,0.000028449078,0.00017100155,0.000019552348,0.00001942792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014028573,0.00008733604,0.00012186932,0.00004213319,0.00027985906,0.000012750022,0.00026200688,0.000028095386,0.000042726657],"category_scores_gemma":[0.0000073574843,0.000066413864,0.00007262973,0.0001715629,0.000039213424,0.00002581888,0.000101062564,0.00010910206,5.5267714e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010854013,0.0000144001215,0.00017937428,0.000051123207,0.00003239154,0.0000016159523,0.0009744739,0.93676794,0.0022942515,0.024696484,0.031834587,0.0031424842],"study_design_scores_gemma":[0.00027871318,0.00005587692,0.00090725505,0.0000100431125,0.000014539897,0.000009925704,0.0022405193,0.09011417,0.019596478,0.00073441607,0.8858621,0.00017595816],"about_ca_topic_score_codex":0.000026895288,"about_ca_topic_score_gemma":0.000036733578,"teacher_disagreement_score":0.8540275,"about_ca_system_score_codex":0.000021770218,"about_ca_system_score_gemma":0.00002006662,"threshold_uncertainty_score":0.27082786},"labels":[],"label_agreement":null},{"id":"W4293055451","doi":"10.1109/icsmartgrid55722.2022.9848703","title":"A Realistic Failure Propagation Model for Smart Grid Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Cascading failure; Interdependence; Computer science; Smart grid; Distributed computing; Grid; Electric power transmission; Process (computing); Interdependent networks; Electric power system; Power-system protection; Power grid; Reliability engineering; Power (physics); Complex network; Engineering","score_opus":0.010115838386656166,"score_gpt":0.19847467556580034,"score_spread":0.18835883717914417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293055451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012513268,0.00010639019,0.98311937,0.00027084458,0.0007917465,0.00043438896,0.000037195197,0.00039971247,0.0023270831],"genre_scores_gemma":[0.9971078,0.000008749064,0.0016849178,0.00010185829,0.00016761084,0.00026298975,0.000072224066,0.00001650886,0.0005773671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952346,0.000008989975,0.00010067314,0.00010499529,0.00009922975,0.00016267187],"domain_scores_gemma":[0.99980164,0.000029048826,0.000010146204,0.00010911741,0.000015711194,0.000034336335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102955564,0.00006704865,0.00006853464,0.000030807605,0.00016572818,0.000015352694,0.00010060728,0.000027375372,0.00004512374],"category_scores_gemma":[0.000010093713,0.00006411685,0.00003534531,0.000107423766,0.000011079896,0.000056013163,0.000030211791,0.000121541016,0.0000022322388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005841951,0.000007741998,0.00001940794,0.000022312764,0.0000049957916,6.8578316e-7,0.00014526157,0.9465258,0.00008728466,0.003060579,0.049786005,0.0003340924],"study_design_scores_gemma":[0.00012344653,0.000022339613,0.000026275797,0.0000024957938,0.0000064391857,0.0000050865915,0.00006594716,0.992317,0.00007305619,0.00075289153,0.0065090074,0.00009600587],"about_ca_topic_score_codex":0.000009243208,"about_ca_topic_score_gemma":0.00008264835,"teacher_disagreement_score":0.9845945,"about_ca_system_score_codex":0.000044075714,"about_ca_system_score_gemma":0.000012840898,"threshold_uncertainty_score":0.26146093},"labels":[],"label_agreement":null},{"id":"W4293208459","doi":"10.1109/jiot.2022.3160864","title":"Dynamic-Line-Rating-Based Robust Corrective Dispatch Against Load Redistribution Attacks With Unknown Objectives","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Computer science; Economic dispatch; Smart grid; Electric power system; Reliability engineering; Grid; Robust optimization; Power (physics); Mathematical optimization; Engineering","score_opus":0.006571027188265479,"score_gpt":0.21258218330097928,"score_spread":0.2060111561127138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293208459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81631297,0.00027151025,0.17957999,0.00010258314,0.0024945822,0.00012708096,0.000028375474,0.00010467454,0.000978215],"genre_scores_gemma":[0.998733,0.000019792566,0.00089572277,0.00007352186,0.000111601774,0.000012934729,0.000014910822,0.000029926508,0.00010858578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984132,0.00009346415,0.0003901375,0.00020309773,0.0005993054,0.0003007652],"domain_scores_gemma":[0.99918133,0.00010307109,0.00023920441,0.0001495972,0.00022093921,0.00010586059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047277924,0.00021148668,0.00026595662,0.00012395703,0.00021110648,0.00007238342,0.0003927965,0.00006556027,0.00006419401],"category_scores_gemma":[0.000077864686,0.00018476148,0.00012706227,0.00025910934,0.00011749115,0.00031216448,0.00005102749,0.0011733996,0.0000028936863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026726123,0.00011398132,0.0008883746,0.00005221814,0.00011815836,0.00009039242,0.004177613,0.984396,0.006462918,0.00002086154,0.0023229881,0.0010892745],"study_design_scores_gemma":[0.00087157707,0.0006809024,0.00055400835,0.0003141236,0.0000360198,0.00034620592,0.0013447653,0.97037107,0.024409981,0.000066791465,0.0007011665,0.00030340822],"about_ca_topic_score_codex":0.000046189252,"about_ca_topic_score_gemma":0.000060221108,"teacher_disagreement_score":0.18242002,"about_ca_system_score_codex":0.00073774904,"about_ca_system_score_gemma":0.00014775715,"threshold_uncertainty_score":0.75343543},"labels":[],"label_agreement":null},{"id":"W4293566398","doi":"10.48550/arxiv.2208.12662","title":"Reinforcement Learning based Multi-connectivity Resource Allocation in Factory Automation Systems","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Payload (computing); Computer science; Robot; Distributed computing; Resource allocation; Computer network; Latency (audio); Cluster (spacecraft); Real-time computing; Artificial intelligence; Network packet; Telecommunications","score_opus":0.04407343874148064,"score_gpt":0.17794515288452978,"score_spread":0.13387171414304913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293566398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79162425,0.0001018011,0.20568477,0.0000073800784,0.0006286729,0.0004302968,0.000005572473,0.00048787458,0.0010293833],"genre_scores_gemma":[0.9992963,0.00005836173,0.000025738806,0.000008499868,0.000039530532,0.0000075047733,0.000113430804,0.000025826208,0.00042480638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872833,0.00023116767,0.00021442561,0.00046037382,0.00011395622,0.0002517291],"domain_scores_gemma":[0.9992726,0.00011773234,0.00011791365,0.00038683522,0.000033975277,0.00007095535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036479963,0.00023145608,0.00024121758,0.00037805876,0.00014679837,0.00003966637,0.00033553815,0.00022878058,0.00006462416],"category_scores_gemma":[0.000047079917,0.00030877208,0.00009220447,0.00036417128,0.000037265112,0.00015587844,0.00023537147,0.0009859856,0.00001697636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015887443,0.000034055305,0.0055350987,0.00031073103,0.00002411607,0.000039111248,0.0005131436,0.99285215,0.00007944352,0.00052734045,0.000036092646,0.00003280195],"study_design_scores_gemma":[0.00045210018,0.00002226137,0.0077555235,0.00012411647,0.000020565993,5.753994e-7,0.0007127071,0.989156,0.00009796238,0.000019749867,0.0013240715,0.00031435443],"about_ca_topic_score_codex":0.00043359373,"about_ca_topic_score_gemma":0.00012224406,"teacher_disagreement_score":0.20767204,"about_ca_system_score_codex":0.0009561442,"about_ca_system_score_gemma":0.0000789571,"threshold_uncertainty_score":0.99993646},"labels":[],"label_agreement":null},{"id":"W4293704402","doi":"10.1109/tsg.2022.3202926","title":"A Novel ZSV-Based Detection Scheme for FDIAs in Multiphase Power Distribution Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"False alarm; Electric power system; Voltage; Mathematics; Algorithm; Power (physics); Control theory (sociology); Computer science; Engineering; Statistics; Artificial intelligence; Electrical engineering","score_opus":0.013470696729163935,"score_gpt":0.218567502169829,"score_spread":0.20509680544066508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293704402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21026036,0.00006536944,0.7823422,0.00004197406,0.005496109,0.00057898124,0.00094480213,0.0002458564,0.00002435636],"genre_scores_gemma":[0.9984881,0.0000067238525,0.0002646013,0.000036457357,0.000089820205,0.0009904811,0.000055292512,0.000033008855,0.000035484474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884695,0.00003953076,0.00028903317,0.0002631355,0.00024364569,0.00031772093],"domain_scores_gemma":[0.99949324,0.00013543437,0.00003223235,0.00022376968,0.000035349283,0.0000799796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024393269,0.00018030316,0.00017980883,0.00020690565,0.0003539698,0.000031893574,0.00012975764,0.0000874812,0.00004472731],"category_scores_gemma":[0.000007507487,0.00020584061,0.00013377664,0.00043871856,0.00003170907,0.00012704519,0.0000010918153,0.00041624674,0.000013469851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015864249,0.00032350354,0.000020066802,0.00006380975,0.000020245167,0.0000039403863,0.00012236295,0.9594741,0.03901165,0.000011888579,0.00024421973,0.000545607],"study_design_scores_gemma":[0.002274456,0.00028875607,0.0002732988,0.00003584063,0.00002091105,0.000025749163,0.00027473262,0.90832263,0.06425603,0.0000027968201,0.023888653,0.000336151],"about_ca_topic_score_codex":0.00013671216,"about_ca_topic_score_gemma":0.00021368514,"teacher_disagreement_score":0.7882278,"about_ca_system_score_codex":0.00039490368,"about_ca_system_score_gemma":0.000036930865,"threshold_uncertainty_score":0.8393936},"labels":[],"label_agreement":null},{"id":"W4295832406","doi":"10.1109/tpel.2022.3206239","title":"Cybersecurity of Smart Inverters in the Smart Grid: A Survey","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Computer security; Computer science; Grid; Engineering; Telecommunications; Electrical engineering; Systems engineering","score_opus":0.00940164668864607,"score_gpt":0.208415612321654,"score_spread":0.19901396563300794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295832406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713465,0.00065730786,0.024361009,0.00017862974,0.001990091,0.0003735555,0.00018368168,0.00012192265,0.000787289],"genre_scores_gemma":[0.9994757,0.00019494427,0.000010011983,0.00019024168,0.0000076149036,0.00006891843,0.0000070512474,0.00002061269,0.00002485934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986029,0.00024040899,0.00025272617,0.00017961593,0.00034890967,0.0003753861],"domain_scores_gemma":[0.9993853,0.0001980666,0.00002803995,0.0003301654,0.000019948473,0.00003848963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006633104,0.00015081243,0.0001749458,0.00017109328,0.0001769785,0.000013457457,0.00038041582,0.00005808987,0.000160878],"category_scores_gemma":[0.0000045107286,0.00013853391,0.0001034877,0.0007655504,0.000061042374,0.000082948914,0.000001927182,0.00093784323,0.000009476799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006808816,0.0022911944,0.0028032286,0.00014064298,0.00038426017,0.00005616859,0.033067845,0.93707955,0.003700467,0.0011237805,0.014014953,0.00465701],"study_design_scores_gemma":[0.011491902,0.010501479,0.081177965,0.00020511469,0.00045304472,0.00075375737,0.014982738,0.37454182,0.15586983,0.0031177094,0.34108457,0.005820096],"about_ca_topic_score_codex":0.00027873064,"about_ca_topic_score_gemma":0.0050289645,"teacher_disagreement_score":0.5625378,"about_ca_system_score_codex":0.00018970201,"about_ca_system_score_gemma":0.00008298581,"threshold_uncertainty_score":0.5649249},"labels":[],"label_agreement":null},{"id":"W4297095258","doi":"10.1109/tii.2022.3209287","title":"False Data Injection Attacks on Smart Grid Voltage Regulation With Stochastic Communication Model","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Computer science; Smart grid; Flexibility (engineering); Constraint (computer-aided design); Grid; Process (computing); Vulnerability (computing); Mathematical optimization; Real-time computing; Engineering; Computer security; Electrical engineering; Mathematics","score_opus":0.05890079337338295,"score_gpt":0.24826066744231723,"score_spread":0.1893598740689343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297095258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10520972,0.000008901418,0.8910927,0.000060447233,0.0014670728,0.0005467726,0.0005138437,0.00033780656,0.000762737],"genre_scores_gemma":[0.9989239,0.000015311016,0.0004060833,0.00008045737,0.000090041154,0.000091461334,0.00024995292,0.000027329605,0.00011547072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986991,0.00004833837,0.00045189282,0.00012431618,0.00046379067,0.0002125073],"domain_scores_gemma":[0.99874055,0.00012743601,0.000104759136,0.0009120313,0.000040228268,0.00007500489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033532505,0.00018852773,0.00016847691,0.00025602523,0.0006606708,0.00006786283,0.00046796052,0.0001360015,0.00007330272],"category_scores_gemma":[0.000009395581,0.00018729827,0.000037995604,0.00047490123,0.00006169571,0.0007065476,0.00000978079,0.001097631,0.000026693562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014909182,0.000075989105,0.0000019106283,0.000014463883,0.000035017634,2.6713022e-7,0.0010520191,0.99136996,0.000029722447,0.000052040537,0.0033191056,0.0039004218],"study_design_scores_gemma":[0.00088739913,0.00028248626,0.0000066305583,0.000048201815,0.00004814837,0.000018223309,0.00086614984,0.99557453,0.00058763527,0.000037253525,0.0014195514,0.00022380774],"about_ca_topic_score_codex":0.000038846007,"about_ca_topic_score_gemma":0.00005265985,"teacher_disagreement_score":0.8937142,"about_ca_system_score_codex":0.0002451161,"about_ca_system_score_gemma":0.00008037418,"threshold_uncertainty_score":0.7637801},"labels":[],"label_agreement":null},{"id":"W4297198361","doi":"10.3390/en15196984","title":"A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Computer security; Software deployment; Computer science; Internet of Things; Grid; Reliability (semiconductor); Enhanced Data Rates for GSM Evolution; Telecommunications; Engineering; Power (physics); Electrical engineering","score_opus":0.015596198997630758,"score_gpt":0.21384009999454104,"score_spread":0.19824390099691028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297198361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8979071,0.087952,0.000108015316,0.0004256489,0.0010582795,0.00033816823,0.00006392483,0.0007558497,0.011391022],"genre_scores_gemma":[0.9924019,0.006309215,0.000069661415,0.00007625191,0.0001255196,0.00027361576,0.0000346061,0.000026417249,0.0006828153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992512,0.00006636781,0.00012147641,0.00019639588,0.0001728482,0.00019170262],"domain_scores_gemma":[0.9995864,0.000103390485,0.00001761546,0.00023028126,0.000013007713,0.00004930751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002488136,0.00011809235,0.00012750931,0.00008799142,0.000214875,0.000018606164,0.00016148527,0.000032541797,0.00006296658],"category_scores_gemma":[0.000015534568,0.00012021028,0.000024866033,0.00012590138,0.00003566856,0.000036995447,0.000092498565,0.00018441863,0.000016367927],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007654973,0.00028529082,0.005307914,0.0003603534,0.00021793968,0.000036373385,0.008859949,0.78570426,0.0013792984,0.033058263,0.053223565,0.11149024],"study_design_scores_gemma":[0.0003656194,0.00009677949,0.070344105,0.000015614232,0.000010686388,0.000008885861,0.0010796606,0.007110102,0.0008858279,0.00048278857,0.9191845,0.00041542985],"about_ca_topic_score_codex":0.00008236831,"about_ca_topic_score_gemma":0.00016141962,"teacher_disagreement_score":0.86596096,"about_ca_system_score_codex":0.00003475383,"about_ca_system_score_gemma":0.00001143385,"threshold_uncertainty_score":0.4902033},"labels":[],"label_agreement":null},{"id":"W4297329477","doi":"10.1016/j.ijepes.2022.108610","title":"A resilience-based recovery scheme for smart grid restoration following cyberattacks to substations","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada); Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resilience (materials science); Smart grid; Electric power system; Reliability engineering; Computer science; Metric (unit); Grid; Computer security; Power (physics); Engineering; Electrical engineering; Operations management","score_opus":0.008179908692477566,"score_gpt":0.2403383495896363,"score_spread":0.23215844089715873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297329477","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46585986,0.0028814503,0.4946799,0.0015749008,0.032995053,0.00040915582,0.000102481565,0.00013798142,0.0013592183],"genre_scores_gemma":[0.99782145,0.000015249656,0.0008631387,0.00029334132,0.00067555567,0.00008292663,0.000025535091,0.000024912262,0.00019789254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802154,0.00009423063,0.0006213259,0.00015911262,0.0008585863,0.00024521508],"domain_scores_gemma":[0.99891627,0.00031257028,0.0001647734,0.00011727845,0.0003530533,0.00013604674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004926794,0.00013514378,0.00022052508,0.00053263974,0.00016900005,0.00011563624,0.0004974049,0.000053596526,0.000021911163],"category_scores_gemma":[0.00023899045,0.00013581892,0.0002280802,0.00046851285,0.0000118559965,0.00025923492,0.000026839425,0.00024945958,0.0000030677088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027177154,0.00010616368,0.00045987373,0.0000056342333,0.0001939641,0.00008225105,0.00017406343,0.9422781,0.012294106,0.0037039767,0.03997491,0.0004552228],"study_design_scores_gemma":[0.0024377953,0.0019032032,0.0009647492,0.00018359418,0.000058329395,0.00035524994,0.00034060274,0.32622805,0.0061376486,0.0006107296,0.66005945,0.00072059175],"about_ca_topic_score_codex":0.000050897233,"about_ca_topic_score_gemma":0.000024267174,"teacher_disagreement_score":0.6200845,"about_ca_system_score_codex":0.00061152026,"about_ca_system_score_gemma":0.00018568196,"threshold_uncertainty_score":0.5538535},"labels":[],"label_agreement":null},{"id":"W4298001180","doi":"10.1049/stg2.12090","title":"Smart grid security: Attacks and defence techniques","year":2022,"lang":"en","type":"article","venue":"IET Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Computer security; Smart grid; Grid; Electricity; Cyber threats; Computer science; Business; Telecommunications; Engineering; Electrical engineering; Geography","score_opus":0.0057287158035695404,"score_gpt":0.19993210137028714,"score_spread":0.1942033855667176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298001180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97368646,0.003119968,0.00042120845,0.0006933339,0.006545503,0.00060362136,0.00027086158,0.0017969621,0.012862104],"genre_scores_gemma":[0.9970249,0.00062864914,0.0004926338,0.00047142862,0.00089094497,0.0002096835,0.00005247307,0.000058932485,0.00017038517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983454,0.000073884665,0.00029235,0.0003971496,0.00039794983,0.00049327477],"domain_scores_gemma":[0.99925464,0.000093798735,0.000041026913,0.0004091655,0.000032060903,0.00016927766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003664658,0.00027026644,0.00027814734,0.00014870858,0.0004443483,0.000068222645,0.00037733658,0.00009817133,0.0002816353],"category_scores_gemma":[0.000029781228,0.00028852705,0.000090425805,0.00037134043,0.00014270356,0.0002236177,0.00033573678,0.0006554953,0.00004488697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015644454,0.0004440556,0.084756725,0.00092387863,0.0002744514,0.00063401216,0.009810095,0.0052618026,0.016918901,0.0032255019,0.8644606,0.01313357],"study_design_scores_gemma":[0.00031156364,0.00019891474,0.004817946,0.000043315737,0.00003133949,0.00030529845,0.00040322635,0.0050911396,0.01353089,0.00087065663,0.9737065,0.0006892078],"about_ca_topic_score_codex":0.00006870839,"about_ca_topic_score_gemma":0.00007606354,"teacher_disagreement_score":0.10924593,"about_ca_system_score_codex":0.00009121753,"about_ca_system_score_gemma":0.00003213979,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W4299674676","doi":"10.48550/arxiv.1801.04613","title":"Software Defined Networks based Smart Grid Communication: A\\n Comprehensive Survey","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Smart grid; Computer science; Interoperability; Vendor; Software-defined networking; Grid; Reliability (semiconductor); Communications protocol; Software; Computer network; Key (lock); Distributed computing; Computer security; Power (physics); Engineering; World Wide Web; Operating system","score_opus":0.06523030727159924,"score_gpt":0.18037745953521667,"score_spread":0.11514715226361742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299674676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7412602,0.0012856576,0.25047338,0.00003314427,0.003473741,0.0005578291,0.00026464113,0.0012267726,0.0014246368],"genre_scores_gemma":[0.99719805,0.0008752041,0.00069891155,0.00010726359,0.00021247273,0.000002085949,0.00071878463,0.000054796983,0.00013242943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829036,0.0003198821,0.0002527913,0.00061752653,0.00009436044,0.0004251009],"domain_scores_gemma":[0.9972045,0.0005717024,0.00012147669,0.0015715511,0.00033633498,0.00019444076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025236144,0.00042525452,0.00044959213,0.00017595694,0.00026412227,0.00007115658,0.0012447379,0.00055635296,0.00014733846],"category_scores_gemma":[0.00006283664,0.0005194748,0.00020262001,0.0005154732,0.00035873984,0.00012597133,0.0007309738,0.0010079314,0.0001437424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047546117,0.000037487793,0.02900205,0.00012392098,0.00010097293,0.000041787884,0.00004986494,0.9612428,0.0000018864993,0.00021931872,0.009094684,0.000037659553],"study_design_scores_gemma":[0.000556568,0.000035782956,0.08354555,0.00025031206,0.000088054534,0.0000029318487,0.000035415847,0.9096444,0.00004389973,0.00068186637,0.0043603214,0.00075488474],"about_ca_topic_score_codex":0.00038284127,"about_ca_topic_score_gemma":0.0009983728,"teacher_disagreement_score":0.25593787,"about_ca_system_score_codex":0.00018802925,"about_ca_system_score_gemma":0.00010391764,"threshold_uncertainty_score":0.9997257},"labels":[],"label_agreement":null},{"id":"W4300125214","doi":"10.1109/csr54599.2022.9850310","title":"Current drainage induced by bias injection attack against Kalman filter of BLDC motor","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Control theory (sociology); Kalman filter; Extended Kalman filter; Controller (irrigation); Computer science; Rotor (electric); Invariant extended Kalman filter; Engineering; Artificial intelligence","score_opus":0.028401581507486583,"score_gpt":0.24641757443822035,"score_spread":0.21801599293073376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300125214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99217546,0.00032940952,0.00025474222,0.000034896224,0.001233201,0.00014996236,0.000032628006,0.00015852092,0.005631166],"genre_scores_gemma":[0.99950117,0.000032486125,0.000026016929,0.000049534083,0.00007364506,0.000030616095,0.000024944167,0.0000151424165,0.0002464464],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992671,0.000036636127,0.00018218222,0.0001366398,0.00020761102,0.00016984218],"domain_scores_gemma":[0.99971145,0.00003075799,0.000027401631,0.00016748118,0.000015646337,0.00004726779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011771807,0.000101346726,0.00011598106,0.00009327514,0.00009453657,0.00001056529,0.00015382448,0.000032883552,0.00031408409],"category_scores_gemma":[0.000014898913,0.00009879289,0.00005838142,0.00023541198,0.000019674406,0.000086052,0.00008251925,0.00025261677,0.000018008523],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007070505,0.00073082856,0.0025346405,0.0006626903,0.00015109307,0.000014283113,0.0073124007,0.19861859,0.50999033,0.0009924155,0.2438093,0.035112742],"study_design_scores_gemma":[0.0018153875,0.0009869607,0.010232378,0.00009547697,0.000042869124,0.000022326147,0.0025700715,0.31076643,0.13678166,0.0001649843,0.5351264,0.0013950362],"about_ca_topic_score_codex":0.000019897758,"about_ca_topic_score_gemma":0.000011618951,"teacher_disagreement_score":0.37320864,"about_ca_system_score_codex":0.00006513344,"about_ca_system_score_gemma":0.000011173089,"threshold_uncertainty_score":0.4028657},"labels":[],"label_agreement":null},{"id":"W4300193103","doi":"10.2172/1879890","title":"Hydroelectric Cybersecurity Response and Recovery Overview","year":2020,"lang":"en","type":"report","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Water Power Technologies Office; Centre for Energy Advancement through Technological Innovation; National Institute of Standards and Technology; National Institute for Materials Science; Federal Emergency Management Agency; Battelle; U.S. Department of Homeland Security; Natural Environment Research Council; U.S. Department of Energy","keywords":"Hydroelectricity; Event (particle physics); Incident response; Process (computing); Computer security; Emergency response; Cyber-attack; Engineering; Computer science; Electrical engineering","score_opus":0.026105373253928674,"score_gpt":0.25119823964208937,"score_spread":0.2250928663881607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300193103","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102365896,0.27193305,0.00058968825,0.00094909087,0.008536614,0.0012732872,0.00022451,0.0030476125,0.6110802],"genre_scores_gemma":[0.4877193,0.49832326,0.0004942583,0.000543267,0.0021893354,0.00006904651,0.00011465296,0.0002845217,0.010262378],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983616,0.00007950008,0.00034244743,0.00038864213,0.00050573674,0.00032207055],"domain_scores_gemma":[0.9991508,0.00023456245,0.000052071093,0.00030751055,0.000060211118,0.00019481212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005379724,0.00033901227,0.0005109248,0.00016876055,0.00006056364,0.000061459534,0.00018979622,0.00042079203,0.00021956116],"category_scores_gemma":[0.00040256692,0.0003177154,0.00014082098,0.00038005837,0.000047274505,0.00011056,0.00008660938,0.0007237853,0.00010804534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036347038,0.00006222397,0.0003293377,0.005732949,0.0006907263,0.00058696617,0.00080448884,0.0008213422,0.0009987645,0.00022966569,0.95954347,0.029836591],"study_design_scores_gemma":[0.00015983077,0.00012861498,0.002894753,0.00025187584,0.00010338666,0.0002685226,0.00001745928,0.003315168,0.00044113444,0.00023802604,0.99150366,0.0006775475],"about_ca_topic_score_codex":0.000086909575,"about_ca_topic_score_gemma":0.00008559944,"teacher_disagreement_score":0.60081786,"about_ca_system_score_codex":0.00019843693,"about_ca_system_score_gemma":0.0003312227,"threshold_uncertainty_score":0.9999275},"labels":[],"label_agreement":null},{"id":"W4307273497","doi":"10.3390/en15207807","title":"Detection of Load-Altering Cyberattacks Targeting Peak Shaving Using Residential Electric Water Heaters","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hydro-Québec","funders":"Hydro-Québec","keywords":"Peaking power plant; Smart grid; Demand response; Energy management system; Load management; Grid; Load shifting; Peak demand; Load balancing (electrical power); Computer science; Control (management); Energy management; Peak load; Electric power system; Latency (audio); Real-time computing; Automotive engineering; Electricity; Engineering; Renewable energy; Power (physics); Energy (signal processing); Distributed generation; Electrical engineering; Telecommunications","score_opus":0.006509709957096486,"score_gpt":0.19969590724126335,"score_spread":0.19318619728416686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307273497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99669063,0.0007584847,0.001156935,0.0000073098463,0.0010253085,0.000049413826,0.0000013470574,0.00015623198,0.00015436001],"genre_scores_gemma":[0.9995051,0.000032596363,0.0001922337,0.000007642014,0.00018762937,0.000011219493,0.0000034233524,0.000026106958,0.00003404398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990141,0.000047556303,0.00022548337,0.00015395397,0.0002606102,0.00029834238],"domain_scores_gemma":[0.9997843,0.000020724488,0.000026086032,0.000117016316,0.000023782433,0.000028123379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021657353,0.00011508484,0.00013692981,0.00014969886,0.0003132839,0.000034043638,0.00013686395,0.00003236147,0.00006999746],"category_scores_gemma":[0.000012759073,0.0001104719,0.00006033571,0.00020590403,0.00001998581,0.0001734381,0.00012006831,0.00019868521,0.0000021109715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064554806,0.0000031392733,0.000063132946,0.000023009316,0.000008419514,0.000005008694,0.00082217186,0.4667345,0.5321458,0.000003550803,0.000021817534,0.00016299123],"study_design_scores_gemma":[0.00010716724,0.000028484435,0.00032790055,0.000012908667,0.000011142242,0.000021012193,0.0004205095,0.10383457,0.89430815,0.000017878461,0.00076122326,0.00014908118],"about_ca_topic_score_codex":0.0002807268,"about_ca_topic_score_gemma":0.000022111892,"teacher_disagreement_score":0.36289993,"about_ca_system_score_codex":0.00018132957,"about_ca_system_score_gemma":0.00001584261,"threshold_uncertainty_score":0.4504913},"labels":[],"label_agreement":null},{"id":"W4308026387","doi":"10.1109/pesgm48719.2022.9916999","title":"Dynamic Load Altering EV Attacks Against Power Grid Frequency Control","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blackout; Grid; Software deployment; Computer science; Controller (irrigation); Electric power system; Power (physics); Control (management); Stability (learning theory); Dynamic demand; Computer security; Distributed computing","score_opus":0.006541437708325137,"score_gpt":0.2141699772793446,"score_spread":0.20762853957101945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308026387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604352,0.006597088,0.008444607,0.0005010861,0.013884818,0.0002982124,0.00029361932,0.0011426816,0.00840265],"genre_scores_gemma":[0.98891765,0.00077834574,0.0038960103,0.0023917775,0.00080887764,0.00026200654,0.0001780874,0.00022878949,0.002538449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99535006,0.0002964367,0.000833759,0.00093042495,0.0012171557,0.001372158],"domain_scores_gemma":[0.99828523,0.00016479036,0.00019931591,0.0008854577,0.00012804891,0.00033716118],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010697643,0.0007042118,0.0006559686,0.00011550623,0.0011573907,0.00013970089,0.00095511257,0.00027179724,0.0008837317],"category_scores_gemma":[0.00007089782,0.0007890968,0.000780274,0.00073724316,0.00017025805,0.00025968655,0.00023486513,0.0011866633,0.00007157679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021857559,0.000096347576,0.0004009027,0.000052626507,0.00032469348,0.00003179523,0.0029974969,0.65357965,0.28994107,0.000121689314,0.052033536,0.00039832786],"study_design_scores_gemma":[0.0033154434,0.00024992274,0.00047055032,0.00016816202,0.00016637804,0.00015542247,0.0013657263,0.26934737,0.005801319,0.00036821014,0.7151098,0.003481676],"about_ca_topic_score_codex":0.0002970609,"about_ca_topic_score_gemma":0.00035539275,"teacher_disagreement_score":0.6630763,"about_ca_system_score_codex":0.0011014913,"about_ca_system_score_gemma":0.00015915537,"threshold_uncertainty_score":0.999456},"labels":[],"label_agreement":null},{"id":"W4308075611","doi":"10.1109/tcst.2022.3213435","title":"IEEE Transactions on Control Systems Technology Publication Information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bilkent Üniversitesi; Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California; Università di Bologna; Università degli Studi di Pavia; Università degli Studi di Genova; University of Toronto; Technische Universiteit Eindhoven; Università degli Studi di Salerno; National University of Singapore; University of the West of England; Clemson University","keywords":"Control (management); Computer science; Control system; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.004894940112940676,"score_gpt":0.1873552493612117,"score_spread":0.18246030924827103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308075611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011668971,0.0005247297,0.9703486,0.00205944,0.008168112,0.0022612603,0.0006215353,0.0038333044,0.000514043],"genre_scores_gemma":[0.994213,0.00007334787,0.000029679044,0.00016556644,0.000077542616,0.0050886245,0.000010331197,0.000061671344,0.00028026185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99704164,0.00016743389,0.0010216839,0.00047007276,0.0005664935,0.00073270174],"domain_scores_gemma":[0.99823344,0.00020126412,0.00023737998,0.0009425479,0.000257804,0.00012758924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004637185,0.00045756824,0.0006937423,0.002885541,0.0009779854,0.00013115903,0.00073596236,0.00074814865,0.00008165434],"category_scores_gemma":[0.000014842664,0.0004905145,0.00019420851,0.0014881599,0.0002060169,0.0005536484,0.0000011281942,0.0017377292,0.0003351518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011089639,0.00019568492,0.000009691379,0.000117843905,0.00027577198,0.000008337692,0.00015861799,0.9841797,0.004781279,0.0016928824,0.0007367993,0.0077324947],"study_design_scores_gemma":[0.005586815,0.0011120257,0.000011492911,0.00011144588,0.00021982426,0.00062446465,0.0023283719,0.9154316,0.008831757,0.00010371216,0.06473492,0.0009035576],"about_ca_topic_score_codex":0.00008531211,"about_ca_topic_score_gemma":0.00006494806,"teacher_disagreement_score":0.982544,"about_ca_system_score_codex":0.00069653883,"about_ca_system_score_gemma":0.000095259245,"threshold_uncertainty_score":0.99975467},"labels":[],"label_agreement":null},{"id":"W4308090755","doi":"10.1109/ccece49351.2022.9918406","title":"Impact of the Open Charge Point Protocol Between the Electric Vehicle and the Fast Charging Station on the Cybersecurity of the Smart Grid","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smart grid; Microgrid; Computer security; Computer science; Protocol (science); Electric vehicle; Grid; Cyber-attack; Computer network; Power (physics); Control (management); Engineering; Electrical engineering","score_opus":0.011411448885487388,"score_gpt":0.24950893326001944,"score_spread":0.23809748437453204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308090755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635107,0.000027578417,0.00002163335,0.002750585,0.00014434296,0.030035209,0.00006455911,0.000027136246,0.0034182915],"genre_scores_gemma":[0.9929351,0.00000653653,0.0000018206554,0.00015489341,0.00006992687,0.00675259,0.0000014929834,0.0000144804135,0.000063110834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848455,0.00045966986,0.00027500992,0.000145324,0.00040099237,0.00023447728],"domain_scores_gemma":[0.9987401,0.0004999612,0.00014005473,0.0005600777,0.000035122535,0.000024697732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014132503,0.00014417742,0.0001827693,0.00002913587,0.00073615956,0.000061252555,0.0011894178,0.000029347695,0.00018191809],"category_scores_gemma":[0.000087627275,0.00004747329,0.0001462226,0.0005775659,0.0001805948,0.000103551196,0.0004842331,0.0005297184,0.000002163771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023491867,0.0012493766,0.43880808,0.0008393638,0.0023205264,0.0000041231315,0.16426776,0.075746424,0.06250525,0.1774619,0.05957855,0.014869437],"study_design_scores_gemma":[0.0031162447,0.0004082036,0.84682566,0.00009869298,0.000095888274,0.000013774205,0.0030160563,0.087607995,0.050934974,0.0025419374,0.004967271,0.00037327845],"about_ca_topic_score_codex":0.00081154716,"about_ca_topic_score_gemma":0.00007063161,"teacher_disagreement_score":0.4080176,"about_ca_system_score_codex":0.00007327332,"about_ca_system_score_gemma":0.00006392244,"threshold_uncertainty_score":0.56620187},"labels":[],"label_agreement":null},{"id":"W4309728390","doi":"10.3390/iot3040024","title":"Living in the Dark: MQTT-Based Exploitation of IoT Security Vulnerabilities in ZigBee Networks for Smart Lighting Control","year":2022,"lang":"en","type":"article","venue":"IoT","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MQTT; Computer science; Home automation; Computer security; Computer network; Denial-of-service attack; The Internet; Internet of Things; Telecommunications","score_opus":0.008517261345961785,"score_gpt":0.2131317647065123,"score_spread":0.2046145033605505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309728390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99443024,0.0005834229,0.0036371711,0.00014979493,0.00042776225,0.00042558878,0.0000151131935,0.000044887824,0.000286039],"genre_scores_gemma":[0.9993967,0.000004226778,0.00011430457,0.00010694312,0.00008908553,0.00026676035,0.000004392725,0.0000133323065,0.0000042993092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989741,0.00019379513,0.0002881273,0.0001333895,0.00017117904,0.00023942237],"domain_scores_gemma":[0.99817014,0.0015960933,0.00004164368,0.00015425394,0.000020265137,0.000017601871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011741833,0.00009655347,0.00017262004,0.00010514495,0.00011480013,0.000017424061,0.00020103849,0.00004363518,0.000020320007],"category_scores_gemma":[0.00018387914,0.00008750665,0.00005755537,0.00026667817,0.00003490102,0.00004071943,0.000023095306,0.00030947296,3.210509e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029231092,0.00006150214,0.0121001685,0.00011289854,0.000005711268,0.0000027469532,0.009402905,0.9769171,0.00034125228,0.00046598306,0.00022774057,0.0003327826],"study_design_scores_gemma":[0.00063263153,0.00009300889,0.010484948,0.00008154522,0.0000066301454,0.00000169663,0.0054399893,0.9816022,0.0003149372,0.0006151664,0.00058967475,0.00013755693],"about_ca_topic_score_codex":0.00011589446,"about_ca_topic_score_gemma":0.00053031155,"teacher_disagreement_score":0.0049664355,"about_ca_system_score_codex":0.00007530219,"about_ca_system_score_gemma":0.000024382654,"threshold_uncertainty_score":0.35684177},"labels":[],"label_agreement":null},{"id":"W4309791565","doi":"10.1007/978-3-031-16237-4_6","title":"Secure Design of Cyber-Physical Systems at the Radio Frequency Level: Machine and Deep Learning-Driven Approaches, Challenges and Opportunities","year":2022,"lang":"en","type":"book-chapter","venue":"Engineering cyber-physical systems and critical infrastructures","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Research Foundation; University of Ottawa","funders":"","keywords":"Software deployment; Transmitter; Computer security; Wireless; Wireless network; Cyber-physical system; Computer science; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.039944103714301286,"score_gpt":0.21234096823827978,"score_spread":0.17239686452397848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309791565","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09428542,0.8381385,0.018836262,0.0007863058,0.0052362042,0.004496574,0.0019778092,0.0017696634,0.034473237],"genre_scores_gemma":[0.9899068,0.007621122,0.00013713849,0.000007237444,0.00097220624,0.000106238054,0.000053370906,0.00017937072,0.001016506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975662,0.00013024907,0.0005321795,0.0006288745,0.0005970012,0.0005454784],"domain_scores_gemma":[0.99801147,0.0010890929,0.00010493086,0.00038813375,0.000058942664,0.00034741688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022929853,0.0008199123,0.0012230554,0.00015083549,0.00030004198,0.00013887836,0.00029018417,0.00038647224,0.000025545483],"category_scores_gemma":[0.00007826554,0.0006352174,0.00015223754,0.000048432685,0.00066173996,0.00017398811,0.0003113421,0.0014782198,0.0000016605243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020065132,0.000025877745,0.000010741211,0.003633286,0.00042389677,0.00007958731,0.0036146273,0.21396142,0.0005849359,0.77444845,0.0001421553,0.0030549301],"study_design_scores_gemma":[0.00074941217,0.0007861215,0.0011491575,0.0013323816,0.00067081343,0.0010542456,0.0013770864,0.94369227,0.00008550579,0.0068193898,0.03987448,0.0024091355],"about_ca_topic_score_codex":0.00006917145,"about_ca_topic_score_gemma":0.000007082004,"teacher_disagreement_score":0.89562136,"about_ca_system_score_codex":0.00010359478,"about_ca_system_score_gemma":0.000023983177,"threshold_uncertainty_score":0.9996099},"labels":[],"label_agreement":null},{"id":"W4310173026","doi":"10.1109/sst55530.2022.9954705","title":"Keynote Speakers","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Smart Systems and Technologies (SST)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Greenhouse gas; Smart grid; Quality of service; Renewable energy; Information and Communications Technology; Telecommunications network; Reliability (semiconductor); Computer security; Telecommunications; Environmental economics; Electrical engineering; Engineering; Power (physics)","score_opus":0.018973471688997545,"score_gpt":0.2266946138853928,"score_spread":0.20772114219639526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310173026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87188375,0.0026982555,0.0011067053,0.0038309311,0.011211512,0.00066506315,0.00029922323,0.0033401113,0.10496443],"genre_scores_gemma":[0.99819326,0.0005452423,0.000036243582,0.000037355327,0.000056834477,0.00014485128,0.000021700609,0.000014950873,0.00094957283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988901,0.000025138675,0.00021986738,0.00026412818,0.00038895285,0.0002117865],"domain_scores_gemma":[0.9995947,0.00004019521,0.000048222002,0.00024189953,0.000043697153,0.000031288226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017003037,0.00015881554,0.00017084646,0.00023391943,0.00021488796,0.00009330217,0.0005092691,0.00007880148,0.00027621898],"category_scores_gemma":[0.0000373121,0.00015203722,0.000042507272,0.0001785524,0.00010162115,0.00009363389,0.0003020238,0.0004485033,0.00003834513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009936317,0.00013375182,0.0071318764,0.00015717573,0.0003373504,0.00020821451,0.0008827015,0.020486597,0.00837629,0.9061276,0.034007806,0.022051288],"study_design_scores_gemma":[0.0009084754,0.00041419102,0.0022566833,0.00013296402,0.000018491175,0.00026394124,0.018904673,0.30124715,0.0018389431,0.005248425,0.6678923,0.00087377435],"about_ca_topic_score_codex":0.00006203322,"about_ca_topic_score_gemma":0.000016106282,"teacher_disagreement_score":0.90087914,"about_ca_system_score_codex":0.000121941186,"about_ca_system_score_gemma":0.000021321699,"threshold_uncertainty_score":0.61998975},"labels":[],"label_agreement":null},{"id":"W4312543752","doi":"10.1109/tac.2022.3209396","title":"Decentralized False-Data Injection Attacks Against State Omniscience: Existence and Security Analysis","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; Liaoning Revitalization Talents Program; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Omniscience; Residual; Node (physics); State (computer science); Computer science; Eigenvalues and eigenvectors; Vulnerability (computing); Computer security; Control theory (sociology); Mathematics; Algorithm; Engineering; Artificial intelligence; Control (management)","score_opus":0.012505063840956126,"score_gpt":0.24272885432286093,"score_spread":0.2302237904819048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312543752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6289427,0.0002413852,0.3686783,0.00011449874,0.000719864,0.00035989482,0.00036921087,0.00048595262,0.00008817208],"genre_scores_gemma":[0.9993086,0.00016876298,0.00020193026,0.0001428052,0.000012677383,0.00009808208,0.000012049076,0.00001642415,0.000038671074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983154,0.0001521247,0.0003548669,0.00039068965,0.00044432937,0.00034258055],"domain_scores_gemma":[0.9989996,0.00019469656,0.000058933132,0.0005818241,0.000027492206,0.00013746714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045585723,0.0001949567,0.00033426107,0.00033979432,0.00059498125,0.000091906695,0.00040454825,0.000044608296,0.00019006888],"category_scores_gemma":[0.00001076726,0.00019834943,0.00011023733,0.0011431403,0.00010868286,0.0002904028,0.0000064054543,0.00031313172,0.0000109736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034613033,0.00014749462,0.00018227188,0.00006134442,0.00046948178,0.000015073967,0.0019676036,0.97089344,0.0010304558,0.000011879767,0.00015013284,0.025036212],"study_design_scores_gemma":[0.000905338,0.000068631314,0.0010305375,0.000010270935,0.00029527195,0.000018141078,0.00036200872,0.99609774,0.00036902033,0.0000891885,0.00052723545,0.00022661989],"about_ca_topic_score_codex":0.00005739546,"about_ca_topic_score_gemma":0.00031007428,"teacher_disagreement_score":0.3703659,"about_ca_system_score_codex":0.00012293294,"about_ca_system_score_gemma":0.000043129166,"threshold_uncertainty_score":0.80884546},"labels":[],"label_agreement":null},{"id":"W4312584258","doi":"10.1109/tits.2022.3211020","title":"A Cross-Layer Defense Method for Blockchain Empowered CBTC Systems Against Data Tampering Attacks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; Fundamental Research Funds for the Central Universities; Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Computer science; Authentication (law); Cyber-physical system; Computer security; Physical layer; Computer network; Key (lock); Distributed computing; Wireless; Telecommunications","score_opus":0.0524688359619824,"score_gpt":0.31544067062250675,"score_spread":0.2629718346605243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312584258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11204032,0.0007825096,0.87295,0.000017469081,0.008304967,0.0015103384,0.0037432064,0.0005492543,0.00010189344],"genre_scores_gemma":[0.9963825,0.00010791054,0.00089950813,0.00003853606,0.00017168812,0.0014109211,0.0003292914,0.00011396428,0.00054573437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969529,0.0001583777,0.0010550185,0.0006959152,0.0006313075,0.000506479],"domain_scores_gemma":[0.99833775,0.00034416618,0.00012914129,0.0008706917,0.00013293774,0.00018530153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009218652,0.00039106974,0.0004725634,0.00035051192,0.0007071951,0.00015480083,0.00067820266,0.00016080496,0.00009601165],"category_scores_gemma":[0.0000055182963,0.00042988933,0.00023374047,0.00052663445,0.000048692287,0.00015603165,0.0000017330293,0.0005253258,0.000027927932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011606469,0.00011941908,0.000048600337,0.0004850554,0.00020241945,0.000016401307,0.002621642,0.99136925,0.003344125,0.000102478865,0.00033123087,0.0012432856],"study_design_scores_gemma":[0.00062966713,0.00012892316,0.000034511402,0.00012268886,0.00010107999,0.00003107836,0.004125816,0.9456304,0.008871147,0.00000390841,0.039767988,0.0005528077],"about_ca_topic_score_codex":0.00027652236,"about_ca_topic_score_gemma":0.0001831551,"teacher_disagreement_score":0.88434213,"about_ca_system_score_codex":0.00023921202,"about_ca_system_score_gemma":0.00006352238,"threshold_uncertainty_score":0.9998153},"labels":[],"label_agreement":null},{"id":"W4312679399","doi":"10.2139/ssrn.4249829","title":"Early Detection of Cyber-Physical Attacks on Fast Charging Stations Using Machine Learning Considering Vehicle-to-Grid Operation in Microgrids","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Grid; Cyber-physical system; Computer security; Computer science; Automotive engineering; Real-time computing; Engineering; Operating system","score_opus":0.0074201770345326675,"score_gpt":0.22722284986204583,"score_spread":0.21980267282751317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312679399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986478,0.00034282438,0.012629678,0.000046380417,0.00030910372,0.000119314274,0.0000054015563,0.000044176762,0.000025166286],"genre_scores_gemma":[0.99953526,0.00012995076,0.00007268776,0.000013901765,0.00019185903,0.000009013623,0.000003894769,0.000027565484,0.000015859017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998426,0.00011422038,0.0002586426,0.00014484367,0.00024718128,0.00080910674],"domain_scores_gemma":[0.9997311,0.000053736887,0.000060152397,0.00007527436,0.000027883598,0.00005184521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005549003,0.00012550068,0.00016436273,0.0003079495,0.00039749205,0.00003757271,0.00011631,0.000029294473,0.000009886551],"category_scores_gemma":[0.000024909566,0.00013960579,0.00006024577,0.0003671956,0.000018673954,0.00016898263,0.000038836537,0.002162481,0.0000042746665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028461765,0.000035793826,0.0018834837,0.000006556955,0.000024214993,0.0000038110882,0.0018122328,0.74832565,0.24417555,0.00034543793,4.813504e-7,0.0033583369],"study_design_scores_gemma":[0.0010171039,0.000872142,0.004431411,0.00006789828,0.000026812575,0.0003237302,0.0041740565,0.9393911,0.048400063,0.0005469872,0.00037975327,0.00036894274],"about_ca_topic_score_codex":0.00020298248,"about_ca_topic_score_gemma":0.000731252,"teacher_disagreement_score":0.1957755,"about_ca_system_score_codex":0.00096728816,"about_ca_system_score_gemma":0.00018972432,"threshold_uncertainty_score":0.9395024},"labels":[],"label_agreement":null},{"id":"W4312738012","doi":"10.1109/pesgm48719.2022.9916889","title":"A New Approach to Reliability Assessment and Improvement of Synchrophasor Communications in Smart Grids","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Phasor; Smart grid; Reliability (semiconductor); Data transmission; Transmission (telecommunications); Fault (geology); Computer science; Real-time computing; Probabilistic logic; Wireless; Engineering; Communications system; Telecommunications network; Electric power system; Reliability engineering; Computer network; Power (physics); Telecommunications; Electrical engineering","score_opus":0.016767483922732425,"score_gpt":0.26577890604130133,"score_spread":0.24901142211856891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312738012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97188866,0.0012644547,0.020562163,0.00068471313,0.0011126419,0.00037124922,0.00006211313,0.00015518532,0.0038987896],"genre_scores_gemma":[0.9047388,0.00045794278,0.09298729,0.0004335668,0.000102550395,0.00030301954,0.00007132731,0.000049695835,0.0008558488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783134,0.00019139575,0.00056696276,0.00048084345,0.0004888692,0.00044061127],"domain_scores_gemma":[0.99854803,0.0001290218,0.00009203435,0.0009928413,0.00004891032,0.00018916639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011766986,0.00025849536,0.00036660593,0.00008430298,0.00034668058,0.000036169713,0.0006500616,0.00009683802,0.0000955467],"category_scores_gemma":[0.000032906697,0.00028352844,0.00018891213,0.00068050006,0.00010057624,0.0000843648,0.0006264749,0.0005273595,0.00000194473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002604766,0.0005732547,0.003963474,0.00017537228,0.00017026674,0.0000010638249,0.009878962,0.77912897,0.14926879,0.0012429522,0.0529303,0.0026405402],"study_design_scores_gemma":[0.0035398158,0.00059786206,0.008531308,0.00017397568,0.00016640284,0.000036875244,0.0064000194,0.41893435,0.010626589,0.0011019921,0.54730934,0.002581444],"about_ca_topic_score_codex":0.001559738,"about_ca_topic_score_gemma":0.0003200097,"teacher_disagreement_score":0.49437907,"about_ca_system_score_codex":0.00045721457,"about_ca_system_score_gemma":0.00012524315,"threshold_uncertainty_score":0.9999617},"labels":[],"label_agreement":null},{"id":"W4312768013","doi":"10.1109/isgt50606.2022.9931183","title":"Resilient Periodic Observer-based Control for Wide Area Oscillation Damping Against Time Synchronization Attacks","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Synchronization (alternating current); Linear matrix inequality; Observer (physics); Computer science; Oscillation (cell signaling); State observer; Control (management); Mathematics; Mathematical optimization; Physics","score_opus":0.01034751898873276,"score_gpt":0.20435214387081926,"score_spread":0.1940046248820865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312768013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6694123,0.00029849578,0.32572308,0.00039592214,0.0007388926,0.0008806361,0.00008014537,0.0005796439,0.0018908648],"genre_scores_gemma":[0.9984946,0.0000071959025,0.00048145847,0.00041330679,0.000053785985,0.00013119832,0.00018333139,0.000027452252,0.00020763729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990189,0.00004123331,0.00022793257,0.00021263241,0.00024456563,0.00025470954],"domain_scores_gemma":[0.9994737,0.00018252443,0.00003811516,0.00019567057,0.000049518243,0.000060474915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022063238,0.00013466345,0.00015292798,0.00009219071,0.00041615823,0.000046964793,0.0001445411,0.00004764217,0.00031807585],"category_scores_gemma":[0.00007974206,0.00014120957,0.00007835342,0.00022319137,0.000028096276,0.00011637754,0.000019431656,0.000117705626,0.000020017786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026021706,0.00002072512,0.0027503562,0.00005132779,0.000013514582,0.0000017663291,0.00014207636,0.98886245,0.0038510559,0.00006406553,0.0038619465,0.0003546733],"study_design_scores_gemma":[0.00084548374,0.00007130619,0.0019996979,0.000017223862,0.000013296013,0.0000011097978,0.0000840608,0.9809755,0.0009310829,0.000020885931,0.014846895,0.00019345067],"about_ca_topic_score_codex":0.000005478961,"about_ca_topic_score_gemma":0.000014614455,"teacher_disagreement_score":0.3290823,"about_ca_system_score_codex":0.00025641575,"about_ca_system_score_gemma":0.00005627977,"threshold_uncertainty_score":0.57583594},"labels":[],"label_agreement":null},{"id":"W4312873207","doi":"10.1109/ijcnn55064.2022.9892584","title":"Deep Reinforcement Learning for Penetration Testing of Cyber-Physical Attacks in the Smart Grid","year":2022,"lang":"en","type":"article","venue":"2022 International Joint Conference on Neural Networks (IJCNN)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Artificial Intelligence in Medicine (Canada); Ericsson (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cyber-physical system; Reinforcement learning; Smart grid; Sandbox (software development); Distributed computing; Emulation; Cyber-attack; Computer security; Interconnectivity; Grid; Markov decision process; Artificial intelligence; Markov process; Engineering; Software engineering; Operating system","score_opus":0.032315920612443975,"score_gpt":0.25456673481043823,"score_spread":0.22225081419799425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312873207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88708663,0.0000919072,0.080920845,0.0023380052,0.005723887,0.0050147194,0.000020120542,0.00028106256,0.018522816],"genre_scores_gemma":[0.9980818,0.000010758274,0.0000658037,0.0001766362,0.00041756337,0.001068755,0.000087696295,0.00001497711,0.000076002536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986196,0.000095028154,0.00034856892,0.00020840202,0.0004905977,0.00023776757],"domain_scores_gemma":[0.9992782,0.00035979,0.00010958837,0.00013569814,0.00008514692,0.00003160656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155422,0.00015294681,0.00016516044,0.0001080171,0.00017113451,0.00005389256,0.00040288264,0.000033648495,0.00018500251],"category_scores_gemma":[0.000086538734,0.00013239823,0.000091031485,0.00023871979,0.000041050054,0.00012240151,0.00009938796,0.00062828476,0.000002507926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004756513,0.000048309303,0.00091892027,0.000013058171,0.000014872122,0.0000060699886,0.0005365194,0.98944086,0.0006421531,0.004938456,0.0006015042,0.002791699],"study_design_scores_gemma":[0.00038465735,0.0002765801,0.0032677092,0.00003774112,0.000005372586,0.000013050113,0.00037963403,0.9939031,0.0001605409,0.00017682015,0.0012563913,0.00013839777],"about_ca_topic_score_codex":0.000029990224,"about_ca_topic_score_gemma":0.000050110077,"teacher_disagreement_score":0.110995166,"about_ca_system_score_codex":0.00009727715,"about_ca_system_score_gemma":0.000021026686,"threshold_uncertainty_score":0.5399043},"labels":[],"label_agreement":null},{"id":"W4312892409","doi":"10.1109/tsg.2022.3218066","title":"Mitigation of Cyber-Attacks on Wide-Area Under-Frequency Load-Shedding Schemes","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo; University of Toronto","funders":"University of Toronto","keywords":"Blackout; Electric power system; Load Shedding; Vulnerability (computing); Computer science; Power (physics); Scheme (mathematics); Stability (learning theory); Adversary; Real-time computing; Engineering; Computer security; Mathematics","score_opus":0.012534830513527693,"score_gpt":0.2224784355621747,"score_spread":0.209943605048647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312892409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.812324,0.0001939255,0.17553262,0.00038013677,0.0058675455,0.00035455258,0.00020237792,0.0004610792,0.0046837656],"genre_scores_gemma":[0.9990576,0.00008600055,0.00030400575,0.00015966316,0.00007294704,0.000100570905,0.000012448923,0.000039754854,0.00016699798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984463,0.00006167777,0.0003491033,0.00028299363,0.00055850804,0.0003014364],"domain_scores_gemma":[0.999228,0.00020129677,0.00005344868,0.0003665752,0.00005581839,0.00009487003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971359,0.0002207029,0.00022987547,0.00023454508,0.00039960866,0.000021937956,0.00024371715,0.00008457866,0.0005841671],"category_scores_gemma":[0.000008479829,0.00024230366,0.00016708356,0.00050100713,0.00008378637,0.00018539384,0.0000025894092,0.00058312825,0.000052626438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046134086,0.00024105342,0.0002032168,0.00007668142,0.00009714157,0.000010686576,0.00068637857,0.97158325,0.023148399,0.00036791264,0.0022054203,0.0013337517],"study_design_scores_gemma":[0.0022881073,0.0012084545,0.0023929104,0.0003485333,0.00018483805,0.000088504785,0.0019199355,0.063921034,0.8944706,0.001220585,0.030449066,0.0015074856],"about_ca_topic_score_codex":0.000049791448,"about_ca_topic_score_gemma":0.00007284799,"teacher_disagreement_score":0.9076622,"about_ca_system_score_codex":0.00032019158,"about_ca_system_score_gemma":0.000071617455,"threshold_uncertainty_score":0.9880857},"labels":[],"label_agreement":null},{"id":"W4312991998","doi":"10.1109/pesgm48719.2022.9917110","title":"Detection of Cyber-Physical Attacks Using Optimal Recursive Least Square in an Islanded Microgrid","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Control theory (sociology); Microgrid; Network topology; Particle swarm optimization; Sensitivity (control systems); Physical layer; Square (algebra); Recursive least squares filter; Covariance matrix; Forgetting; Mathematical optimization; Algorithm; Engineering; Mathematics; Electronic engineering; Control (management); Telecommunications; Wireless","score_opus":0.01451544160343214,"score_gpt":0.24852373583218224,"score_spread":0.2340082942287501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312991998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918877,0.000780114,0.0049171834,0.00003326465,0.0018811355,0.00012933693,0.000063032065,0.0001629505,0.00014531231],"genre_scores_gemma":[0.9953414,0.00008939512,0.003494948,0.00009594268,0.0006287524,0.000053891876,0.00007693276,0.00008436874,0.00013431958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749684,0.00028941533,0.00047812678,0.00054513046,0.00054672285,0.0006437596],"domain_scores_gemma":[0.99915016,0.00007781785,0.00014854078,0.0004028996,0.00008350785,0.00013710301],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004481456,0.00035817848,0.0004447718,0.00012505428,0.0004306547,0.00004424348,0.0003879257,0.00017126321,0.00007986879],"category_scores_gemma":[0.000020816491,0.00041327663,0.00039419634,0.0007972293,0.00012421829,0.0002053178,0.00016473305,0.00071462797,0.0000035834546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031091226,0.000113219525,0.00036039905,0.000026552745,0.000049218117,0.0000044115927,0.0059994524,0.5773625,0.41499633,0.000017406548,0.0005866466,0.00045281887],"study_design_scores_gemma":[0.0021477018,0.000554981,0.0007305645,0.00016757843,0.00013858601,0.00013900646,0.008195157,0.68469507,0.2593625,0.00013541854,0.041726306,0.0020071524],"about_ca_topic_score_codex":0.0005840347,"about_ca_topic_score_gemma":0.00082388974,"teacher_disagreement_score":0.15563384,"about_ca_system_score_codex":0.00040254876,"about_ca_system_score_gemma":0.00005875041,"threshold_uncertainty_score":0.9998319},"labels":[],"label_agreement":null},{"id":"W4313142603","doi":"10.1109/tac.2022.3200963","title":"Optimal Deception Attacks Against Remote State Estimation: An Information-Based Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Deception; Divergence (linguistics); Minimum mean square error; Computer science; Information theory; State (computer science); Transformation (genetics); Measure (data warehouse); Perspective (graphical); Mathematical optimization; Control theory (sociology); Algorithm; Mathematics; Data mining; Artificial intelligence; Control (management); Statistics; Law","score_opus":0.006993723261523954,"score_gpt":0.2125996678856152,"score_spread":0.20560594462409126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313142603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12211795,0.000012299721,0.8754496,0.00007632002,0.0005956649,0.000490282,0.0001099735,0.0008470919,0.0003008032],"genre_scores_gemma":[0.98615193,0.0000043692676,0.013227787,0.0003254483,0.000017726823,0.00017430623,0.000049788046,0.00002343623,0.000025199593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864376,0.000103509046,0.00040621465,0.00015569036,0.00042447404,0.00026633812],"domain_scores_gemma":[0.99934477,0.00010476196,0.000064710395,0.00032776076,0.000040352057,0.000117651834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025887357,0.00019690757,0.00020518947,0.00026532673,0.00048736538,0.00008842332,0.00021169083,0.0000542599,0.00027677513],"category_scores_gemma":[0.0000053289614,0.00021254095,0.00010360067,0.0003397825,0.000043157906,0.0005594314,8.712223e-7,0.0003082414,0.000078080484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026426815,0.00009053528,0.0000010125185,0.00006105275,0.000031498468,0.0000016205655,0.0008505698,0.9172578,0.00020789914,0.0000031280604,0.000098703575,0.08136974],"study_design_scores_gemma":[0.0013639885,0.0001306441,0.000081611106,0.000014224064,0.00002763121,0.000011000957,0.00023671068,0.99691033,0.00060010323,0.000015022508,0.00037451976,0.00023421623],"about_ca_topic_score_codex":0.000012761462,"about_ca_topic_score_gemma":0.000007483674,"teacher_disagreement_score":0.864034,"about_ca_system_score_codex":0.00020820914,"about_ca_system_score_gemma":0.00007052052,"threshold_uncertainty_score":0.86671686},"labels":[],"label_agreement":null},{"id":"W4313174820","doi":"10.1109/tsg.2022.3215579","title":"Extended Moving Target Defense for AC State Estimation in Smart Grids","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Reactance; Smart grid; Electric power transmission; Electric power system; Susceptance; Computer science; Electricity market; Electricity; AC power; Minification; Reliability engineering; Engineering; Control theory (sociology); Power (physics); Electrical engineering; Voltage; Control (management)","score_opus":0.010084087363116903,"score_gpt":0.22434160676037193,"score_spread":0.21425751939725501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313174820","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2545419,0.000112383874,0.7379807,0.00014463883,0.0054435953,0.0006457917,0.000390386,0.0004125502,0.00032805535],"genre_scores_gemma":[0.99564284,0.000050896124,0.0031845684,0.000113297625,0.00006195676,0.0006522644,0.00003302134,0.00005394157,0.00020718672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852693,0.000068384106,0.00036340032,0.00031454238,0.00029331565,0.00043340644],"domain_scores_gemma":[0.99938184,0.0001771958,0.0000357285,0.0002784365,0.0000296896,0.00009712568],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034402104,0.0002226359,0.00022955798,0.0003426189,0.00042289047,0.000037296384,0.00019989537,0.000063217034,0.0001463699],"category_scores_gemma":[0.00000900502,0.0002557679,0.00014176642,0.00047282237,0.000041441646,0.00024802476,0.0000030011188,0.0005082715,0.000030160983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099480756,0.00014418906,0.00005426023,0.00006325573,0.000029680643,0.000012157849,0.000835377,0.99225116,0.0015444137,0.00002481652,0.0009053432,0.0040358696],"study_design_scores_gemma":[0.0014034887,0.00029821516,0.0016775216,0.000040969713,0.000034924284,0.000035667523,0.00034905964,0.95186067,0.026804302,0.0007805475,0.016132215,0.00058241276],"about_ca_topic_score_codex":0.00006204111,"about_ca_topic_score_gemma":0.00018034798,"teacher_disagreement_score":0.74110097,"about_ca_system_score_codex":0.00024549937,"about_ca_system_score_gemma":0.000049899154,"threshold_uncertainty_score":0.99998945},"labels":[],"label_agreement":null},{"id":"W4313549840","doi":"10.1109/epec56903.2022.10000083","title":"A Secure Time-Based Bad Data Detection Algorithm for State Estimation","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Open Text (Canada)","funders":"National Science Foundation","keywords":"Computer science; Estimation; State (computer science); Detector; Process (computing); Algorithm; Change detection; Data mining; State vector; Data modeling; Real-time computing; Artificial intelligence; Engineering","score_opus":0.009671181073700958,"score_gpt":0.21952819030345794,"score_spread":0.20985700922975697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313549840","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008697014,0.000057412657,0.98975027,0.000052891417,0.00041302736,0.0002474271,0.0002757027,0.00032908923,0.00017715966],"genre_scores_gemma":[0.88356626,0.00001024971,0.11350465,0.00023003008,0.00016696865,0.0003045868,0.0013412079,0.000063053165,0.0008129864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994953,0.000014992775,0.00009483626,0.00014262911,0.00012383274,0.00012839737],"domain_scores_gemma":[0.999652,0.000052555773,0.000012822648,0.00024021027,0.00001311641,0.000029240438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016577629,0.000066081586,0.000061747836,0.000052008858,0.00015858882,0.000021142025,0.00018506474,0.000018683797,0.00019113222],"category_scores_gemma":[0.00001306327,0.000067734865,0.000019621706,0.00013901031,0.00000915468,0.00013600277,0.000054609132,0.00009506011,0.000022088181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009309107,0.00002312998,0.000003124121,0.0000317092,0.000013506993,0.0000017640634,0.000112627335,0.78192776,0.0020742689,0.000009491582,0.0061923303,0.20960099],"study_design_scores_gemma":[0.00023586664,0.000047687638,0.000029991772,0.0000021376138,0.0000067497476,0.000003593961,0.000021147074,0.9725076,0.0065161213,0.00011862523,0.02041667,0.00009383136],"about_ca_topic_score_codex":0.000014521192,"about_ca_topic_score_gemma":0.000021932787,"teacher_disagreement_score":0.8762456,"about_ca_system_score_codex":0.00004619655,"about_ca_system_score_gemma":0.00001703982,"threshold_uncertainty_score":0.27621478},"labels":[],"label_agreement":null},{"id":"W4313549870","doi":"10.1109/epec56903.2022.10000211","title":"Virtualized Experiential Learning Platform for Substation Automation and Industrial Control Cybersecurity","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"Government of Canada","keywords":"Virtualization; Cloud computing; Computer security; Computer science; Cyber-physical system; Automation; Critical infrastructure; Experiential learning; Control system security; Engineering; Engineering management; Cloud computing security; Operating system","score_opus":0.014463041358452227,"score_gpt":0.22337073567518775,"score_spread":0.20890769431673553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313549870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96590114,0.00006551012,0.032017183,0.000031549484,0.0008212924,0.00036171978,0.000015967384,0.00030069676,0.00048496187],"genre_scores_gemma":[0.9994021,0.000006075655,0.00015952991,0.000024440933,0.0001219253,0.00015605357,0.000045752968,0.000010396687,0.000073716525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944925,0.000025358784,0.0001437663,0.00010842374,0.00013690046,0.00013627198],"domain_scores_gemma":[0.9997744,0.00010238394,0.00002499196,0.000045808854,0.000014437085,0.000037978676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019561504,0.00007217655,0.0000972082,0.000059048754,0.00029989815,0.00003346311,0.00004733466,0.000046543384,0.00017248567],"category_scores_gemma":[0.000047382055,0.00007609198,0.000030136127,0.000085085376,0.00002026003,0.00017696213,0.000017579843,0.00016459942,0.0000013793278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016540813,0.00021234357,0.004109811,0.0001840394,0.0002841687,0.000012483529,0.08124435,0.74702615,0.037693616,0.06142879,0.018832333,0.04731786],"study_design_scores_gemma":[0.004096144,0.00016099676,0.00030253464,0.0000035594755,0.00001691426,0.0000075223325,0.005038052,0.95267695,0.0023868238,0.0002717023,0.03484417,0.00019462193],"about_ca_topic_score_codex":0.00001859269,"about_ca_topic_score_gemma":0.000013555575,"teacher_disagreement_score":0.20565082,"about_ca_system_score_codex":0.000045945482,"about_ca_system_score_gemma":0.000012028738,"threshold_uncertainty_score":0.3102941},"labels":[],"label_agreement":null},{"id":"W4313555772","doi":"10.1109/mpe.2022.3219179","title":"Dynamic Wide Area Situational Awareness: Propelling Future Decentralized, Decarbonized, Digitized, and Democratized Electricity Grids","year":2023,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Grid; Computer science; Electric power system; Microgrid; Situation awareness; Risk analysis (engineering); Electricity; Distributed computing; Control (management); Engineering; Power (physics); Business","score_opus":0.006252471002374883,"score_gpt":0.20591149324066704,"score_spread":0.19965902223829216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313555772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97378874,0.00398262,0.017934594,0.00038744468,0.0013440686,0.000110835594,0.000028590994,0.0007600998,0.0016629887],"genre_scores_gemma":[0.98895127,0.00972711,0.0002962198,0.00012817001,0.000119409,0.000030175603,0.00007937824,0.000043339096,0.0006249531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858123,0.000033391865,0.0002847335,0.00035386955,0.00025726337,0.0004895222],"domain_scores_gemma":[0.99940455,0.00013897139,0.00003395156,0.00017577906,0.000058807684,0.00018793032],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001264,0.0002884678,0.00031142146,0.00018114514,0.00018688662,0.000106607076,0.00012811771,0.00015317489,0.000031196458],"category_scores_gemma":[0.00003247533,0.00025400484,0.00006035783,0.0005606023,0.00008969349,0.00021797193,0.000037055353,0.00018413577,0.00001921077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00223869,0.0005942831,0.042580854,0.0016288577,0.0017623971,0.0013757856,0.0062895,0.5188853,0.24396494,0.012951322,0.10367342,0.06405466],"study_design_scores_gemma":[0.004639223,0.00014325527,0.0242287,0.00018415356,0.000118323565,0.00021031339,0.00016566885,0.87650895,0.006410908,0.0059993546,0.07987013,0.0015210367],"about_ca_topic_score_codex":0.000018762908,"about_ca_topic_score_gemma":0.00018777516,"teacher_disagreement_score":0.35762364,"about_ca_system_score_codex":0.000038918068,"about_ca_system_score_gemma":0.00004364545,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W4313562557","doi":"10.1109/epec56903.2022.10000114","title":"UKF-based State Estimation for Smart Grids Under False Data Injection Attacks","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"SCADA; Smart grid; Kalman filter; Computer science; Residual; Electric power system; Data acquisition; State (computer science); Real-time computing; Node (physics); Data integrity; Supervisory control; Power (physics); Engineering; Computer security; Control (management); Artificial intelligence; Algorithm","score_opus":0.031193122423497043,"score_gpt":0.2681596914135741,"score_spread":0.23696656899007706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16026415,0.00008161778,0.8365138,0.00028122994,0.001361155,0.00034305576,0.00020010724,0.00043937936,0.0005155065],"genre_scores_gemma":[0.99574256,0.000005868522,0.003067322,0.00019935478,0.000049538652,0.000079742385,0.0005597453,0.000021157379,0.00027471033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993349,0.000020684722,0.00014042461,0.00018150642,0.00015701287,0.00016548863],"domain_scores_gemma":[0.9995103,0.00008087261,0.000017085467,0.00033697905,0.000017474125,0.000037306043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023008339,0.00008526657,0.00007905369,0.00007302294,0.00019971462,0.000031124233,0.00022227807,0.000024265983,0.00013674673],"category_scores_gemma":[0.000021516333,0.000086402746,0.000025120027,0.00017320504,0.000016803539,0.00019923209,0.00007945803,0.00012125988,0.00001392688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001591962,0.000022268188,0.0001773289,0.000040203733,0.0000107437045,6.222058e-7,0.000067882436,0.98149496,0.00034939995,0.00020968477,0.01559045,0.002020507],"study_design_scores_gemma":[0.00031137333,0.000067220004,0.00078697933,0.0000035662956,0.000009172194,0.0000040052287,0.000102773985,0.9779708,0.0012360676,0.00049221667,0.01888756,0.00012827774],"about_ca_topic_score_codex":0.000051721527,"about_ca_topic_score_gemma":0.00013213373,"teacher_disagreement_score":0.8354784,"about_ca_system_score_codex":0.00007588984,"about_ca_system_score_gemma":0.000031202846,"threshold_uncertainty_score":0.35234016},"labels":[],"label_agreement":null},{"id":"W4313562571","doi":"10.1109/epec56903.2022.10000109","title":"Detection and Mitigation Methods of Attacks on Low-inertia Hybrid Microgrids: A Short Survey","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Microgrid; Computer science; Renewable energy; Context (archaeology); Smart grid; Grid; Terminology; Computer security; Control (management); Popularity; Risk analysis (engineering); Engineering; Business; Artificial intelligence; Electrical engineering","score_opus":0.012094342054835859,"score_gpt":0.26591287128325186,"score_spread":0.253818529228416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826487,0.00021233561,0.016075741,0.000009885678,0.0004002649,0.00009857809,0.000016705646,0.00008532385,0.00045247687],"genre_scores_gemma":[0.9990222,0.000038299026,0.00081747706,0.00002695223,0.000026144877,0.000016117807,0.000010645667,0.000010694387,0.000031495856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993751,0.00013817468,0.00014688597,0.00012481648,0.0001096643,0.00010534308],"domain_scores_gemma":[0.9996944,0.00012924035,0.000012687448,0.00011019303,0.000019817955,0.000033634522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005058754,0.000075487806,0.00010584865,0.00007691629,0.00007550621,0.000009142864,0.00006251495,0.00002125256,0.000057733836],"category_scores_gemma":[0.00003390753,0.00007420764,0.000027589276,0.00016016052,0.000028654773,0.00004819384,0.000034831515,0.00013990227,0.000001564363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009942251,0.0001217579,0.008684155,0.00017836886,0.000084267536,0.0000072493126,0.0007306308,0.078901134,0.80978185,0.000055119115,0.00141032,0.09994574],"study_design_scores_gemma":[0.00013191656,0.00012128806,0.06373043,0.000008713065,0.000008274882,0.000020317904,0.00011063644,0.102151684,0.83271813,0.00003157853,0.00082454755,0.00014246735],"about_ca_topic_score_codex":0.00008449853,"about_ca_topic_score_gemma":0.00005874276,"teacher_disagreement_score":0.09980327,"about_ca_system_score_codex":0.0000310566,"about_ca_system_score_gemma":0.000005870149,"threshold_uncertainty_score":0.30260998},"labels":[],"label_agreement":null},{"id":"W4313562625","doi":"10.1109/epec56903.2022.10000207","title":"On Propagation of Cyber-Attacks in Wide-Area Measurement Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"","keywords":"Phasor; Situation awareness; Computer science; Units of measurement; Computer security; Cyber-attack; Cyber-physical system; Electric power system; SCADA; Construct (python library); Distributed computing; Power (physics); Computer network; Engineering; Electrical engineering","score_opus":0.017768023579338175,"score_gpt":0.19588750619149772,"score_spread":0.17811948261215954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744526,0.00034378696,0.0029927304,0.0000622404,0.00088643056,0.00037025503,0.0000041596873,0.00010911529,0.020778695],"genre_scores_gemma":[0.9998403,0.000006114142,0.000010653197,0.000014957286,0.000008187914,0.00005103487,0.0000018443344,0.00000604664,0.000060839375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930066,0.00002938575,0.00015136851,0.00007561948,0.0003511067,0.00009188965],"domain_scores_gemma":[0.99982005,0.000024620107,0.000015318185,0.00010264738,0.000020323421,0.000017045108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027884668,0.000051656054,0.00008184457,0.00007793251,0.000028417186,0.000005184672,0.00007796436,0.000016389213,0.00007340406],"category_scores_gemma":[0.000023033686,0.000046772067,0.000016604878,0.00015885988,0.000007892589,0.0000325611,0.000017685321,0.00010237839,0.0000060809884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008705524,0.000055865814,0.0016046282,0.00009046209,0.0000076364,0.0000036301478,0.0004311988,0.98800504,0.00420102,0.0025977155,0.0028490522,0.00014503766],"study_design_scores_gemma":[0.0014950469,0.00058216805,0.023666203,0.000332977,0.000016155243,0.000016434864,0.002897798,0.89974684,0.05499324,0.00044392483,0.015161931,0.0006472976],"about_ca_topic_score_codex":0.00007414444,"about_ca_topic_score_gemma":0.00005978391,"teacher_disagreement_score":0.08825822,"about_ca_system_score_codex":0.00014458931,"about_ca_system_score_gemma":0.000013143179,"threshold_uncertainty_score":0.19073096},"labels":[],"label_agreement":null},{"id":"W4313562781","doi":"10.1109/epec56903.2022.10000189","title":"Detection of FDI Attacks on Voltage Regulation of PV-Integrated Distribution Grids Using Machine Learning Methods","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Support vector machine; Computer science; Controller (irrigation); Transmission (telecommunications); Software deployment; Smart grid; Voltage; Photovoltaic system; Grid; Engineering; Artificial intelligence; Telecommunications; Electrical engineering","score_opus":0.014793366403113899,"score_gpt":0.26854415236231444,"score_spread":0.25375078595920053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55680734,0.00008310317,0.44252592,0.0000030137082,0.00026873266,0.00006446164,0.000017904666,0.000081010716,0.00014852882],"genre_scores_gemma":[0.99825144,0.000013058745,0.0015530243,0.0000024791098,0.00002649576,0.000004271629,0.0000696487,0.000011948968,0.00006763664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992103,0.00014062671,0.00024213243,0.00011290113,0.00018169463,0.00011232486],"domain_scores_gemma":[0.9996703,0.00008012039,0.00007148023,0.0001106893,0.000044653196,0.000022756396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044638765,0.00008960399,0.00014798618,0.00009332533,0.00013007406,0.0000051266584,0.00006862353,0.00004863695,0.00013703002],"category_scores_gemma":[0.000071263064,0.00008543385,0.000058029957,0.0004405933,0.00002830499,0.00007094191,0.000031241572,0.00027643703,7.400391e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002364047,0.000014971293,0.00048816137,0.000026679301,0.000009792756,2.4339272e-7,0.00009066732,0.5012,0.49381563,0.00013053039,0.0000063951047,0.0041932454],"study_design_scores_gemma":[0.00009796486,0.00008227351,0.0024835938,0.000011968296,0.000009367047,0.0000035285968,0.00011065204,0.5928259,0.40331382,0.000035967096,0.00096819294,0.000056813617],"about_ca_topic_score_codex":0.000231827,"about_ca_topic_score_gemma":0.000023154755,"teacher_disagreement_score":0.4414441,"about_ca_system_score_codex":0.00013530883,"about_ca_system_score_gemma":0.0000104051605,"threshold_uncertainty_score":0.34838915},"labels":[],"label_agreement":null},{"id":"W4317425337","doi":"10.18280/mmep.090634","title":"Improving the Reliability of RPL Using Hybrid Deep Learning and Objective Function-Based DODAG Structure for AMI","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Computer science; Routing protocol; Routing (electronic design automation); Reliability engineering; Smart grid; Computer network; Protocol (science); Power (physics); Engineering; Electrical engineering; Medicine","score_opus":0.008302399853821838,"score_gpt":0.18459119256419998,"score_spread":0.17628879271037814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317425337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40756541,0.0004140608,0.5916298,0.000008318195,0.00008607304,0.00019997258,0.000008599461,0.00008030567,0.0000074723835],"genre_scores_gemma":[0.9860746,0.000011660077,0.013784585,0.0000053295635,0.00003412503,0.000049569728,0.000003758229,0.000031522308,0.0000048350985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917054,0.000016248785,0.00024589352,0.00019369255,0.00014892643,0.00022471632],"domain_scores_gemma":[0.9993897,0.00036648032,0.000040275125,0.00012064209,0.000032749515,0.000050163173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518747,0.00015403765,0.00021085948,0.000058227986,0.00027302952,0.000032288157,0.0000793537,0.000041008156,0.0000071846366],"category_scores_gemma":[0.0000655326,0.00012363143,0.00004896565,0.0001098149,0.00005195242,0.00005671148,0.00004836145,0.00036030996,8.4046675e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009564417,0.000010294702,0.000031628166,0.0011571253,0.000016115557,2.499404e-7,0.00060542196,0.9929646,0.0042632804,0.00064316706,9.3931715e-7,0.00029757715],"study_design_scores_gemma":[0.00018506908,0.000067445086,0.000007791978,0.000057441925,0.000040245366,0.000008994668,0.0001415,0.99147016,0.0011051525,0.0067073386,0.00006065776,0.00014819835],"about_ca_topic_score_codex":0.0000121384055,"about_ca_topic_score_gemma":4.775599e-7,"teacher_disagreement_score":0.5785092,"about_ca_system_score_codex":0.000039283612,"about_ca_system_score_gemma":0.000010135966,"threshold_uncertainty_score":0.5041543},"labels":[],"label_agreement":null},{"id":"W4319264236","doi":"10.36227/techrxiv.21990410","title":"Distributed Energy Resources, Transmission Power System Control, Energy Transition: An Exploratory Bibliometric Analysis","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Context (archaeology); Computer science; Electric power system; Reliability (semiconductor); Distributed generation; Electricity; Systems engineering; Power (physics); Renewable energy; Engineering; Electrical engineering; Geography","score_opus":0.012568478825145557,"score_gpt":0.21078112398064242,"score_spread":0.19821264515549686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319264236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024134327,0.004587434,0.9653632,0.00012661397,0.001110343,0.0001331412,0.00075704255,0.0031492517,0.00063862524],"genre_scores_gemma":[0.9960846,0.0014980267,0.00020445173,0.00007500551,0.0003111492,0.00013271118,0.0015066541,0.000100562735,0.00008688737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967642,0.000271799,0.0007803951,0.0008383848,0.00078082754,0.0005644304],"domain_scores_gemma":[0.9981766,0.00014947173,0.00009892597,0.00092326716,0.0001721968,0.00047957202],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0004351839,0.0005854896,0.0010033909,0.04616626,0.00017062298,0.00023514635,0.0006731986,0.0008318436,0.00016371519],"category_scores_gemma":[0.000009853629,0.00053656974,0.0006365596,0.08110298,0.000070172806,0.00023131564,0.00007562725,0.00049956405,0.000016616099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061074345,0.000097303644,0.00004880294,0.000554513,0.0018704396,0.00018209647,0.0008532533,0.9896073,0.0004558264,0.0006288323,0.0038481967,0.0017924133],"study_design_scores_gemma":[0.0006703582,0.000078411205,0.001889137,0.00025276715,0.0011313142,0.000008908084,0.00082004024,0.9607258,0.0007472977,0.00008499602,0.0325604,0.0010305558],"about_ca_topic_score_codex":0.00068644516,"about_ca_topic_score_gemma":0.0003383583,"teacher_disagreement_score":0.97195023,"about_ca_system_score_codex":0.0002071288,"about_ca_system_score_gemma":0.000055982448,"threshold_uncertainty_score":0.9997086},"labels":[],"label_agreement":null},{"id":"W4319264300","doi":"10.36227/techrxiv.21990410.v1","title":"Distributed Energy Resources, Transmission Power System Control, Energy Transition: An Exploratory Bibliometric Analysis","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Context (archaeology); Computer science; Electric power system; Reliability (semiconductor); Distributed generation; Electricity; Systems engineering; Reliability engineering; Power (physics); Renewable energy; Engineering; Electrical engineering","score_opus":0.012568478825145557,"score_gpt":0.21078112398064242,"score_spread":0.19821264515549686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319264300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024134327,0.004587434,0.9653632,0.00012661397,0.001110343,0.0001331412,0.00075704255,0.0031492517,0.00063862524],"genre_scores_gemma":[0.9960846,0.0014980267,0.00020445173,0.00007500551,0.0003111492,0.00013271118,0.0015066541,0.000100562735,0.00008688737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967642,0.000271799,0.0007803951,0.0008383848,0.00078082754,0.0005644304],"domain_scores_gemma":[0.9981766,0.00014947173,0.00009892597,0.00092326716,0.0001721968,0.00047957202],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0004351839,0.0005854896,0.0010033909,0.04616626,0.00017062298,0.00023514635,0.0006731986,0.0008318436,0.00016371519],"category_scores_gemma":[0.000009853629,0.00053656974,0.0006365596,0.08110298,0.000070172806,0.00023131564,0.00007562725,0.00049956405,0.000016616099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061074345,0.000097303644,0.00004880294,0.000554513,0.0018704396,0.00018209647,0.0008532533,0.9896073,0.0004558264,0.0006288323,0.0038481967,0.0017924133],"study_design_scores_gemma":[0.0006703582,0.000078411205,0.001889137,0.00025276715,0.0011313142,0.000008908084,0.00082004024,0.9607258,0.0007472977,0.00008499602,0.0325604,0.0010305558],"about_ca_topic_score_codex":0.00068644516,"about_ca_topic_score_gemma":0.0003383583,"teacher_disagreement_score":0.97195023,"about_ca_system_score_codex":0.0002071288,"about_ca_system_score_gemma":0.000055982448,"threshold_uncertainty_score":0.9997086},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4319458294","doi":"10.1007/978-3-031-20360-2_8","title":"Cyberattack-Resilient Control in Multi-area Power Generation","year":2023,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Security controls; Computer security; Resilience (materials science); Control (management); Electric power system; Power (physics); Computer network","score_opus":0.030136015045044005,"score_gpt":0.2265628684749525,"score_spread":0.19642685342990848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319458294","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056518367,0.02980541,0.04161007,0.00018595421,0.07457276,0.0059343674,0.0010575022,0.0032247412,0.8379574],"genre_scores_gemma":[0.8331138,0.00027004236,0.000016343727,0.000053698954,0.0003148594,0.00010405924,0.0000854514,0.00018917125,0.1658526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801755,0.00003247731,0.0006574712,0.00045617012,0.00042321108,0.00041313298],"domain_scores_gemma":[0.99910355,0.0001000905,0.000094456875,0.000493578,0.0000795106,0.00012882167],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002693289,0.00046748633,0.00060828746,0.00032868082,0.00006230519,0.00010653958,0.00025650757,0.0005811623,0.00012391995],"category_scores_gemma":[0.000029128838,0.0004532189,0.00015297414,0.00007287867,0.000047715206,0.0001037098,0.000036722293,0.0005263683,0.0011948067],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069452,0.0001846822,0.0013092731,0.0011620754,0.0008870111,0.0017254842,0.006491467,0.55247974,0.008502694,0.12729944,0.29968962,0.00019908173],"study_design_scores_gemma":[0.0029682855,0.00016533717,0.00090758083,0.0020780815,0.00009198969,0.000097891134,0.00021720341,0.30929083,0.00016324285,0.000081765116,0.6813197,0.0026180565],"about_ca_topic_score_codex":0.000053198077,"about_ca_topic_score_gemma":0.00036216606,"teacher_disagreement_score":0.8274619,"about_ca_system_score_codex":0.00021912136,"about_ca_system_score_gemma":0.000038184386,"threshold_uncertainty_score":0.999792},"labels":[],"label_agreement":null},{"id":"W4319458299","doi":"10.1007/978-3-031-20360-2_9","title":"Cyber-Security of Protection System in Power Grids—Part 1: Vulnerabilities and Counter-Measures","year":2023,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"","keywords":"Computer security; Power grid; Vulnerability (computing); Computer science; Power-system protection; Electric power system; Critical infrastructure protection; Grid; Power (physics); Critical infrastructure; Geography","score_opus":0.014960744361873609,"score_gpt":0.19146947017233315,"score_spread":0.17650872581045954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319458299","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07001416,0.032197673,0.0007950547,0.000049817274,0.04122107,0.006007045,0.0010725203,0.0025101546,0.8461325],"genre_scores_gemma":[0.98172224,0.00026479672,0.0000016501224,0.0000023557934,0.000204174,0.00012735011,0.000010758487,0.00010761664,0.017559072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978514,0.000061921055,0.00081090425,0.00042422916,0.00052905286,0.00032253552],"domain_scores_gemma":[0.9990594,0.00010428336,0.00016281841,0.00045533568,0.0001277592,0.0000904525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007083715,0.00042773935,0.0008091458,0.0003557893,0.000059807455,0.00006780199,0.000197695,0.0005506666,0.000019476707],"category_scores_gemma":[0.000039217557,0.00041019556,0.00012050885,0.000087705754,0.00014904026,0.00013117975,0.000061403975,0.000600046,0.00006726682],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058962667,0.00030044783,0.0035053457,0.1166195,0.002891135,0.0009792901,0.0637877,0.034286473,0.0024198254,0.7271444,0.046667255,0.00080900255],"study_design_scores_gemma":[0.0023912601,0.0009242225,0.0017336729,0.04438784,0.00023348077,0.00072063087,0.010259346,0.01944047,0.0007972605,0.0024253936,0.9120241,0.0046623694],"about_ca_topic_score_codex":0.00042465085,"about_ca_topic_score_gemma":0.0003602471,"teacher_disagreement_score":0.91170806,"about_ca_system_score_codex":0.00023430974,"about_ca_system_score_gemma":0.00003801451,"threshold_uncertainty_score":0.999835},"labels":[],"label_agreement":null},{"id":"W4319458307","doi":"10.1007/978-3-031-20360-2_3","title":"Cyber-Physical Security in Smart Power Systems from a Resilience Perspective: Concepts and Possible Solutions","year":2023,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Resilience (materials science); Cyber-physical system; Flexibility (engineering); Electric power system; Computer security; Computer science; Critical infrastructure; Risk analysis (engineering); Smart grid; Smart power; Power (physics); Systems engineering; Engineering; Electrical engineering; Business","score_opus":0.01309794157617025,"score_gpt":0.2416617314706295,"score_spread":0.22856378989445925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319458307","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07740421,0.06403254,0.0006395353,0.00017211905,0.024032576,0.0034051682,0.0022195075,0.0021919636,0.8259024],"genre_scores_gemma":[0.97012657,0.00045534282,0.000003804673,0.000009111516,0.0003479972,0.00009140261,0.000032210108,0.00013753728,0.028796047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99706775,0.00008699479,0.0006259068,0.0008864574,0.00063427124,0.0006986271],"domain_scores_gemma":[0.99838245,0.00035905957,0.00013916628,0.0007046681,0.00015077229,0.0002638859],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033117188,0.0006314024,0.0009954652,0.00033641528,0.00017788312,0.00023070502,0.0004241019,0.0006169371,0.000035555466],"category_scores_gemma":[0.00006328311,0.0006347176,0.00017633547,0.00019319257,0.00034174434,0.00024417875,0.00019581117,0.0010342121,0.00047530074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008696922,0.0001984865,0.0013608843,0.0014424471,0.00086693175,0.0011497204,0.069434054,0.013204651,0.0007154682,0.87420183,0.03730849,0.00003007496],"study_design_scores_gemma":[0.007151195,0.0014221934,0.0176581,0.032735743,0.00085514784,0.0008338372,0.057081103,0.38394988,0.00017036873,0.05263926,0.429959,0.015544175],"about_ca_topic_score_codex":0.0025765346,"about_ca_topic_score_gemma":0.000654071,"teacher_disagreement_score":0.89272237,"about_ca_system_score_codex":0.00044530365,"about_ca_system_score_gemma":0.000101792546,"threshold_uncertainty_score":0.9996104},"labels":[],"label_agreement":null},{"id":"W4320018490","doi":"10.1109/tcns.2023.3244103","title":"An Active Detection Strategy Based on Dimensionality Reduction for False Data Injection Attacks in Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimensionality reduction; Computer science; Cyber-physical system; Reduction (mathematics); Curse of dimensionality; Multidimensional systems; Artificial intelligence; Data mining","score_opus":0.028145249775123823,"score_gpt":0.27606955941669065,"score_spread":0.2479243096415668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320018490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38040295,0.000069837784,0.6109743,0.000018598894,0.0062565375,0.0014634334,0.00038143742,0.00039114527,0.000041758205],"genre_scores_gemma":[0.99867684,0.000015168409,0.000009049457,0.000004357623,0.00081858557,0.00035763948,0.00006264816,0.00004130221,0.000014409796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980853,0.00028083613,0.00048050092,0.00045449685,0.00034032966,0.00035853445],"domain_scores_gemma":[0.9986092,0.0004678893,0.000112012116,0.0006177509,0.00009935902,0.00009379913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064209674,0.000239062,0.0004446403,0.00027505046,0.00019398054,0.00004814478,0.0002113524,0.00020818222,0.0000012121976],"category_scores_gemma":[0.000007955835,0.00023673999,0.0001036751,0.0007251558,0.00004808693,0.00036506265,9.0223205e-7,0.00034230325,0.000010064767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006050492,0.00017758578,0.000010440921,0.00015224,0.00007174435,0.0000020095765,0.000076778524,0.98621905,0.009470948,0.000032977252,0.00012315364,0.0030580165],"study_design_scores_gemma":[0.0013009488,0.0006284126,0.00054255745,0.00022747327,0.000057909074,0.000007979723,0.0003489416,0.9944899,0.0020679703,0.000020127407,0.000096515934,0.0002112317],"about_ca_topic_score_codex":0.00025884833,"about_ca_topic_score_gemma":0.00031026735,"teacher_disagreement_score":0.6182739,"about_ca_system_score_codex":0.00018774254,"about_ca_system_score_gemma":0.00004296074,"threshold_uncertainty_score":0.96539766},"labels":[],"label_agreement":null},{"id":"W4320487207","doi":"10.1016/j.compchemeng.2023.108175","title":"Risk assessment of human-automation conflict under cyberattacks in process systems","year":2023,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer security; Automation; Process (computing); Pareto principle; Risk analysis (engineering); Denial-of-service attack; Computer science; Conflict resolution; Cyber-attack; Operations research; Engineering; Business; Operations management; Law","score_opus":0.010645158310940825,"score_gpt":0.2654509263593981,"score_spread":0.2548057680484573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320487207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588012,0.00012213961,0.039630823,0.0000080010595,0.00054868934,0.00014155617,0.000004297535,0.00059536804,0.00014792249],"genre_scores_gemma":[0.9993583,0.000025797202,0.00044432713,0.0000035610558,0.00009580796,0.000024635674,0.00002050574,0.000024247158,0.000002814199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990978,0.000009109511,0.00030570972,0.00016047481,0.00018277635,0.00024410544],"domain_scores_gemma":[0.99963176,0.00010104409,0.000032727843,0.00014649516,0.000027824633,0.000060133578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001383518,0.00014366054,0.00023168289,0.00017213149,0.000019195657,0.00002812715,0.00017535975,0.00009874475,0.0000021350618],"category_scores_gemma":[0.00001452933,0.00015448066,0.00004220107,0.00048090378,0.000020284146,0.00010306211,0.0000370926,0.00025693933,0.000004234642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.3309953e-7,0.000010695413,0.0006757841,0.0003377991,0.000018394796,0.000004208666,0.00026237094,0.9360082,0.06221957,0.00026154995,0.00011106834,0.000089881665],"study_design_scores_gemma":[0.00023692673,0.000008906208,0.007969628,0.00021220508,0.0000053395042,0.0000029739072,0.000039673287,0.9753304,0.015968751,0.000015863983,0.000048709735,0.00016062912],"about_ca_topic_score_codex":0.00001029551,"about_ca_topic_score_gemma":4.4209148e-7,"teacher_disagreement_score":0.04625082,"about_ca_system_score_codex":0.000085444815,"about_ca_system_score_gemma":0.000010531759,"threshold_uncertainty_score":0.62995386},"labels":[],"label_agreement":null},{"id":"W4320915716","doi":"10.1002/047134608x.w8446","title":"False Data Injection Attacks in Power Systems","year":2023,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Adversarial system; Computer security; Damages; Computer science; Electric power system; Focus (optics); Cyber-physical system; Power (physics); Data science; Artificial intelligence; Law","score_opus":0.006773889956432416,"score_gpt":0.2081333456799886,"score_spread":0.20135945572355618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320915716","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050198562,0.6141046,0.028658658,0.0000748732,0.008787318,0.002500098,0.0002392495,0.010013103,0.28542352],"genre_scores_gemma":[0.68795747,0.2932198,0.00041877513,0.000013722,0.00089707534,0.00010940687,0.00008657572,0.0021659897,0.015131145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865335,0.000013477594,0.00030233033,0.0003207286,0.00018498611,0.00052512507],"domain_scores_gemma":[0.99942154,0.00008932394,0.000039127866,0.00035098917,0.000010014781,0.00008901551],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016245098,0.00025613396,0.0003644924,0.00047968165,0.000014790785,0.000017997296,0.00029240476,0.00027958205,0.00001099322],"category_scores_gemma":[0.00008098824,0.00026354424,0.000030875308,0.0007684545,0.000020134035,0.00010471369,0.0000652718,0.0005039949,0.000009875584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009273358,0.00043340755,0.009334455,0.0038691717,0.0010813616,0.00024688075,0.0010180008,0.54315114,0.0029193736,0.030325146,0.36313152,0.0443968],"study_design_scores_gemma":[0.0004580543,0.00019176053,0.0008975625,0.0005918431,0.00004075264,0.000050376595,0.000013810734,0.41806006,0.000052681677,0.000044425255,0.57881737,0.00078130345],"about_ca_topic_score_codex":0.000112323294,"about_ca_topic_score_gemma":0.00018856021,"teacher_disagreement_score":0.6377589,"about_ca_system_score_codex":0.000079310965,"about_ca_system_score_gemma":0.000035564146,"threshold_uncertainty_score":0.9999817},"labels":[],"label_agreement":null},{"id":"W4321189349","doi":"10.1016/j.neunet.2023.02.028","title":"Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach","year":2023,"lang":"en","type":"article","venue":"Neural Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Markov decision process; Denial-of-service attack; Network packet; Scheduling (production processes); Wireless sensor network; Estimator; Mathematical optimization; Markov process; Real-time computing; Distributed computing; Computer network; Artificial intelligence; Mathematics","score_opus":0.02194121463886433,"score_gpt":0.24611670879679415,"score_spread":0.2241754941579298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321189349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04322706,0.0014184006,0.95166695,0.000026406953,0.0019325236,0.0003062239,6.309648e-7,0.00104146,0.00038031797],"genre_scores_gemma":[0.9957412,0.0007006741,0.0011390902,0.0001652139,0.0014894671,0.00014109381,0.00012973786,0.00007854028,0.00041502205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982905,0.000036828817,0.00032808603,0.00034140766,0.0001921589,0.0008110547],"domain_scores_gemma":[0.9993528,0.00017429511,0.00005306361,0.00023557388,0.000036101494,0.0001481385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001960056,0.00027687242,0.0002616603,0.00009616673,0.0002841784,0.00008900616,0.000261413,0.00023907503,0.000019991132],"category_scores_gemma":[0.000027068274,0.00026778856,0.0001600611,0.0005515898,0.00004705352,0.00018314827,0.000101947,0.00049324776,0.000009145323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001959556,0.000009626862,0.00030464304,0.00004202612,0.000036379195,0.0000060749294,0.00015295908,0.9910277,0.000043357555,0.00011965269,0.0018039906,0.0064339656],"study_design_scores_gemma":[0.0005916008,0.000044743552,0.00029656137,0.00003195792,0.000017659746,0.000004652562,0.000075391625,0.99256426,0.000030461873,0.000004765254,0.006018524,0.00031941157],"about_ca_topic_score_codex":0.000011075243,"about_ca_topic_score_gemma":0.000020195499,"teacher_disagreement_score":0.9525141,"about_ca_system_score_codex":0.00004807135,"about_ca_system_score_gemma":0.0000055941828,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W4321372786","doi":"10.3390/fi15020083","title":"Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods","year":2023,"lang":"en","type":"article","venue":"Future Internet","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Computer science; Smart grid; Computer security; Dependability; Network packet; Grid; Network security; Computer network","score_opus":0.023346602940945937,"score_gpt":0.3057006603169986,"score_spread":0.2823540573760527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321372786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98167104,0.0066949585,0.010113186,0.00022843196,0.00088903186,0.00013189827,0.00008913219,0.00011622154,0.0000661329],"genre_scores_gemma":[0.9979551,0.000499169,0.0009907192,0.000018571136,0.00032802415,0.0000122009615,0.000023210072,0.000015291338,0.00015773968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999348,0.000074077754,0.00015843351,0.00014520789,0.00007415728,0.00020015308],"domain_scores_gemma":[0.9994604,0.00034286993,0.00003333948,0.00008888711,0.000032830932,0.000041656895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063378277,0.00010600518,0.00020142361,0.00016445898,0.000111998714,0.00002247547,0.000089588735,0.000078411475,0.000025851701],"category_scores_gemma":[0.000072429764,0.00007833003,0.000083588006,0.0004928187,0.000045405384,0.000030450117,0.00009697568,0.0002038292,8.7737794e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016951136,0.00012446697,0.092603676,0.0017442114,0.012844592,0.00003088236,0.07193529,0.7125991,0.05783246,0.0071368213,0.010660194,0.032318786],"study_design_scores_gemma":[0.00010340974,0.000016407235,0.004339969,0.000017297298,0.00033251123,0.0000055501537,0.00038896647,0.9686566,0.0010251605,0.000028907256,0.024994548,0.000090688576],"about_ca_topic_score_codex":0.00008056786,"about_ca_topic_score_gemma":0.000500503,"teacher_disagreement_score":0.25605747,"about_ca_system_score_codex":0.000011951196,"about_ca_system_score_gemma":0.0000043126147,"threshold_uncertainty_score":0.31942058},"labels":[],"label_agreement":null},{"id":"W4321385062","doi":"10.1109/cistem55808.2022.10044067","title":"A New False Data Injection Detection Protocol based Machine Learning for P2P Energy Transaction between CEVs","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Reliability (semiconductor); Computer science; Database transaction; Vulnerability (computing); Computer security; Resilience (materials science); Protocol (science); Electricity; Peer-to-peer; Electric vehicle; Warning system; Computer network; Engineering; Telecommunications; Database; Electrical engineering; Power (physics)","score_opus":0.022963283764200697,"score_gpt":0.24980640584147054,"score_spread":0.22684312207726984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321385062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014325766,0.000011826966,0.9897222,0.00004844807,0.0003235072,0.007742607,0.00002779146,0.00050021405,0.00019082245],"genre_scores_gemma":[0.97326666,0.0000016303989,0.0016265268,0.000032906373,0.0004094999,0.023880286,0.00023689229,0.00004075476,0.00050484715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918646,0.000052446714,0.00017813541,0.00023006093,0.00017577104,0.00017714189],"domain_scores_gemma":[0.99960655,0.00006823674,0.000030017185,0.00022041895,0.000013433043,0.00006132601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021915545,0.00011331963,0.00011036981,0.00012568828,0.00033226298,0.000030231284,0.00019383882,0.000053965516,0.00024386076],"category_scores_gemma":[0.0000172585,0.000117247335,0.000044918448,0.00027105102,0.0000066584244,0.00023611441,0.000030760762,0.00025193702,0.0000022045267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015462,0.000027164664,0.00035156414,0.000116397794,0.00003234853,8.2072984e-7,0.00011826271,0.794556,0.008828808,0.000028390737,0.0009398081,0.1948458],"study_design_scores_gemma":[0.00069519994,0.00024453076,0.00016991417,0.0000043192554,0.00001568406,0.0000047368003,0.00004289826,0.7298075,0.02052464,0.000046354424,0.24830608,0.00013816387],"about_ca_topic_score_codex":0.00076149503,"about_ca_topic_score_gemma":0.00080548075,"teacher_disagreement_score":0.9880957,"about_ca_system_score_codex":0.00009333776,"about_ca_system_score_gemma":0.000036930724,"threshold_uncertainty_score":0.47812074},"labels":[],"label_agreement":null},{"id":"W4321488991","doi":"10.1109/icaic57335.2023.10044123","title":"Voltage hopping induced by bias injection attack against Kalman filter of BLDC motor","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Control theory (sociology); Controller (irrigation); Kalman filter; Voltage; Computer science; Rotor (electric); Extended Kalman filter; Engineering; Electrical engineering; Control (management)","score_opus":0.03567334901150587,"score_gpt":0.24622986043825362,"score_spread":0.21055651142674775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321488991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99328303,0.00004238138,0.00054823153,0.00003301505,0.0006463511,0.00011028323,0.000012030127,0.00048901513,0.0048356354],"genre_scores_gemma":[0.9986697,0.000066656874,0.000032295426,0.00005795742,0.00010548861,0.000008965458,0.00001978485,0.000019669289,0.0010194901],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993131,0.000012230117,0.00018715327,0.0001337725,0.00014544938,0.00020829456],"domain_scores_gemma":[0.9996877,0.000053210537,0.000021817912,0.0001627911,0.000022103379,0.000052407588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011519291,0.000105653795,0.00012667234,0.00014007222,0.000045921995,0.000015979896,0.00011340662,0.00009648681,0.0000631637],"category_scores_gemma":[0.000038755225,0.00009793893,0.000053760417,0.0004292416,0.000021567936,0.0001314009,0.000036654616,0.00013747891,0.00015242152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006879368,0.000026031767,0.0013794834,0.00017706785,0.00004497372,0.000005791048,0.0009807213,0.024094213,0.9080845,0.00004493826,0.06226265,0.0028927224],"study_design_scores_gemma":[0.0008870549,0.00025096402,0.027870912,0.00022098776,0.000021702108,0.000006455089,0.0013874554,0.4877318,0.44106022,0.00004297971,0.03965729,0.0008621631],"about_ca_topic_score_codex":0.000034362754,"about_ca_topic_score_gemma":0.000031635293,"teacher_disagreement_score":0.4670243,"about_ca_system_score_codex":0.000025292406,"about_ca_system_score_gemma":0.0000073641327,"threshold_uncertainty_score":0.39938337},"labels":[],"label_agreement":null},{"id":"W4321763369","doi":"10.1016/j.compeleceng.2023.108639","title":"Energy grid management system with anomaly detection and Q-learning decision modules","year":2023,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"Narodowe Centrum Badań i Rozwoju; Natural Sciences and Engineering Research Council of Canada","keywords":"Anomaly detection; Robustness (evolution); Computer science; Grid; Energy management; Smart grid; Transferability; Artificial intelligence; Energy (signal processing); Reliability engineering; Machine learning; Engineering; Electrical engineering","score_opus":0.0023366101513030363,"score_gpt":0.15084677791948686,"score_spread":0.14851016776818382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321763369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27767783,0.0003481555,0.7200843,0.0000035953506,0.00043086044,0.000058586505,2.7870325e-7,0.0013133902,0.00008299893],"genre_scores_gemma":[0.99526924,0.0002166301,0.0042729755,0.0000051423085,0.00016636963,0.000019027026,0.000002827183,0.000035214372,0.000012602766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908745,0.000012755157,0.00014621977,0.0002294696,0.00018016183,0.00034394974],"domain_scores_gemma":[0.9996338,0.00012498419,0.000013333758,0.0001114216,0.000013765774,0.00010268082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092958726,0.0001700182,0.00016861157,0.0003212233,0.000105696345,0.000059233844,0.000109555986,0.00006329592,4.623076e-7],"category_scores_gemma":[0.0000060428424,0.00015792063,0.000030820764,0.0008479622,0.000010776061,0.000093377756,0.00005160635,0.00022033331,0.000008121998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009010947,0.0000033478004,0.0000451046,0.0001300062,0.0000380152,0.00007444905,0.000043758668,0.91191334,0.0011322446,0.0005332291,0.000073143114,0.08600434],"study_design_scores_gemma":[0.00021418468,0.00007450193,0.0051154876,0.00011929668,0.000011265112,0.00006275771,0.000016689433,0.9896765,0.00088851585,0.000004718246,0.003615036,0.00020108103],"about_ca_topic_score_codex":0.000008174001,"about_ca_topic_score_gemma":0.0000020787454,"teacher_disagreement_score":0.71759135,"about_ca_system_score_codex":0.00009118425,"about_ca_system_score_gemma":0.0000021817918,"threshold_uncertainty_score":0.64398164},"labels":[],"label_agreement":null},{"id":"W4322623148","doi":"10.34190/iccws.18.1.959","title":"Towards the Usefulness of Learning Factories in the Cybersecurity Domain","year":2023,"lang":"en","type":"article","venue":"International Conference on Cyber Warfare and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Workforce; Sophistication; Computer security; Business; Work (physics); Consistency (knowledge bases); Position (finance); Ignorance; Public relations; Knowledge management; Computer science; Risk analysis (engineering); Engineering; Political science","score_opus":0.04482098070769602,"score_gpt":0.26897226808886404,"score_spread":0.22415128738116802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322623148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831893,0.0000694787,0.000053440126,0.0018855263,0.0005601995,0.00012720245,0.000040113973,0.00008063081,0.013994138],"genre_scores_gemma":[0.999349,0.0004017252,0.0000053505914,0.00006864736,0.00008861185,0.000025906267,0.000022805545,0.000007847872,0.00003013633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989255,0.00010733784,0.00021344483,0.00016493144,0.00039973762,0.00018904614],"domain_scores_gemma":[0.9994824,0.00021205541,0.000038541268,0.00015896498,0.00007821635,0.000029818986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039653055,0.00013810839,0.00014481411,0.000098999524,0.000113267524,0.000078482124,0.00045178333,0.00007992114,0.00007898247],"category_scores_gemma":[0.00008772399,0.0000856311,0.00005042616,0.00027844138,0.00017272115,0.0001304867,0.000073683004,0.00047419022,0.00001576391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092817114,0.00013477355,0.026252909,0.00014847676,0.00013771026,0.000086649176,0.17677471,0.0036240246,0.0007828368,0.7836484,0.0024638884,0.0058528464],"study_design_scores_gemma":[0.0019593057,0.00030561208,0.4621963,0.0005496959,0.00003845584,0.00007050524,0.11662575,0.09525329,0.0056363665,0.22806494,0.08807172,0.0012280659],"about_ca_topic_score_codex":0.00018170537,"about_ca_topic_score_gemma":0.0005161174,"teacher_disagreement_score":0.5555834,"about_ca_system_score_codex":0.000023442768,"about_ca_system_score_gemma":0.000025930594,"threshold_uncertainty_score":0.3491935},"labels":[],"label_agreement":null},{"id":"W4322742403","doi":"10.3390/en16052355","title":"A Survey on Key Management and Authentication Approaches in Smart Metering Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Smart grid; Computer security; Computer science; Authentication (law); Key (lock); Key management; Context (archaeology); Cryptography; Reliability (semiconductor); Engineering; Power (physics)","score_opus":0.04775667979410131,"score_gpt":0.22095768309952832,"score_spread":0.173201003305427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322742403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787307,0.0003490334,0.000079018304,0.000011004752,0.00033309942,0.00007134038,0.0000023005364,0.00018470144,0.0010964328],"genre_scores_gemma":[0.9993821,0.00024013844,0.000044908367,0.0000021140156,0.000018311264,0.000035348694,0.000012500881,0.000009089708,0.00025552735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995826,0.00002812097,0.000087243476,0.000104054925,0.00007874378,0.00011925959],"domain_scores_gemma":[0.9998158,0.000055734516,0.000006887051,0.00010130577,0.0000027479084,0.000017521075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002239194,0.00006273939,0.00007354098,0.0001379045,0.000025741216,0.000035870245,0.00005749307,0.000025841442,8.2566964e-7],"category_scores_gemma":[0.000009628027,0.00005842619,0.000008727176,0.00021475313,0.000015965627,0.00004663351,0.000030903924,0.000042054882,0.000018860506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075382313,0.000015513742,0.016272632,0.00035400063,0.000038673825,0.000016308648,0.0026276708,0.9708875,0.00041937415,0.00642108,0.00070803944,0.002231671],"study_design_scores_gemma":[0.00011522426,0.000010724505,0.7220475,0.000077965036,0.000003511577,7.3280313e-7,0.0006517872,0.27535775,0.0005661261,0.000049613598,0.0009998033,0.00011925357],"about_ca_topic_score_codex":0.00008287007,"about_ca_topic_score_gemma":0.000088943736,"teacher_disagreement_score":0.7057749,"about_ca_system_score_codex":0.000015551048,"about_ca_system_score_gemma":0.0000010633343,"threshold_uncertainty_score":0.2382551},"labels":[],"label_agreement":null},{"id":"W4323304986","doi":"10.1016/j.segan.2023.101027","title":"Early detection of cyber–physical attacks on fast charging stations using machine learning considering vehicle-to-grid operation in microgrids","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Denial-of-service attack; Metering mode; Computer science; Grid; Vulnerability (computing); Electric vehicle; Computer security; Real-time computing; Automotive engineering; Reliability engineering; Power (physics); Engineering; Artificial intelligence; The Internet","score_opus":0.00622267740357199,"score_gpt":0.21514216730961974,"score_spread":0.20891948990604775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323304986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822874,0.00028301863,0.01679415,0.000024311124,0.00027083064,0.000112935304,0.0000029855246,0.00014856838,0.00007579718],"genre_scores_gemma":[0.9991402,0.00028313993,0.000053374286,0.00001865218,0.00032080806,0.00002242798,0.000019229625,0.00003349899,0.000108651475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989095,0.000050382427,0.00022505556,0.00022824983,0.00012782338,0.00045901307],"domain_scores_gemma":[0.9996125,0.0001109248,0.000032580352,0.00010481983,0.00005317341,0.00008597449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019847068,0.00016644956,0.00021297266,0.00032924704,0.0002497761,0.00006560234,0.0000645295,0.000091658345,0.000002509038],"category_scores_gemma":[0.000024528541,0.00017500331,0.000038452716,0.00079167803,0.000042993037,0.00019304534,0.00006423911,0.00030554776,0.0000013963802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023755325,0.000016017495,0.0016379008,0.00005165042,0.0000137568395,0.000028589868,0.0010921514,0.97958255,0.012973875,0.00061725563,0.0000112149655,0.0039512655],"study_design_scores_gemma":[0.0002917936,0.00011372857,0.00443727,0.000083523846,0.000008436881,0.0000038481344,0.0012071575,0.9838852,0.008747153,0.000044229353,0.0009824052,0.0001952021],"about_ca_topic_score_codex":0.00091383746,"about_ca_topic_score_gemma":0.00025443893,"teacher_disagreement_score":0.016852815,"about_ca_system_score_codex":0.00009881189,"about_ca_system_score_gemma":0.000019533352,"threshold_uncertainty_score":0.7136428},"labels":[],"label_agreement":null},{"id":"W4323352185","doi":"10.1109/mts.2023.3241315","title":"Public Policy Challenges, Regulations, Oversight, Technical, and Ethical Considerations for Autonomous Systems: A Survey","year":2023,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial intelligence; Computer science; Algorithm","score_opus":0.054820298569708825,"score_gpt":0.27259240485099656,"score_spread":0.21777210628128774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323352185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66328233,0.03695167,0.019132728,0.25191975,0.002538043,0.003822804,0.0009160673,0.017666448,0.0037701966],"genre_scores_gemma":[0.99282825,0.005857412,0.00080199854,0.00011864697,0.00009532998,0.00011633816,0.000022544804,0.000019059204,0.00014041334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914736,0.00003263717,0.0002020639,0.00024479686,0.00007749335,0.0002956365],"domain_scores_gemma":[0.9990578,0.0005585367,0.00002628939,0.00021061022,0.00007875471,0.00006798538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004698752,0.00013427754,0.0002178833,0.00022454122,0.0003411988,0.000045895715,0.0000835134,0.000845514,0.0000027253095],"category_scores_gemma":[0.0004085004,0.00013361478,0.000045510365,0.0005918023,0.0004813869,0.000067001594,0.000049459326,0.00045215717,0.000010399184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006856958,0.000041467458,0.0006474686,0.0005434704,0.00018527557,0.000009137284,0.0010170715,0.0017168244,0.004690988,0.82709,0.16257627,0.0014751258],"study_design_scores_gemma":[0.004965501,0.0006728629,0.11944236,0.00029274513,0.00017073033,0.00092352537,0.0028476645,0.39811116,0.00089525187,0.22870119,0.24061039,0.0023666022],"about_ca_topic_score_codex":0.000010110165,"about_ca_topic_score_gemma":0.00013312833,"teacher_disagreement_score":0.59838885,"about_ca_system_score_codex":0.00004297307,"about_ca_system_score_gemma":0.000067456276,"threshold_uncertainty_score":0.6521378},"labels":[],"label_agreement":null},{"id":"W4323644080","doi":"10.1109/comst.2023.3251899","title":"Security of Wide-Area Monitoring, Protection, and Control (WAMPAC) Systems of the Smart Grid: A Survey on Challenges and Opportunities","year":2023,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Computer science; Smart grid; Computer security; Scope (computer science); Reliability (semiconductor); Risk analysis (engineering); Attack surface; Security controls; Critical infrastructure; Domain (mathematical analysis); Grid; Control (management); Power (physics); Engineering; Business","score_opus":0.13760156274031712,"score_gpt":0.27714858367477935,"score_spread":0.13954702093446222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323644080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98203593,0.0105006,0.000116993404,0.00032319946,0.005112063,0.0008716842,0.00048367347,0.00018336253,0.0003725059],"genre_scores_gemma":[0.9708538,0.028851612,0.0000039823,0.000002034711,0.00012326066,0.00010831833,0.000011345027,0.000018815099,0.000026815098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968571,0.002146127,0.0004490603,0.00014404084,0.00023419957,0.00016948802],"domain_scores_gemma":[0.99607587,0.0023760407,0.00015694115,0.0011226691,0.00020755819,0.000060946044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004549369,0.00015743938,0.00037523647,0.00012808517,0.000195214,0.000028239425,0.00048203333,0.0001239434,9.70824e-7],"category_scores_gemma":[0.00063031213,0.00012882175,0.000044982553,0.00023616041,0.00039880263,0.000106330226,0.00010940898,0.00021831306,0.0000014657297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047780643,0.0019493377,0.7277993,0.00949696,0.0036955415,0.000008678244,0.084968545,0.04974558,0.05438154,0.025931124,0.016146967,0.025398616],"study_design_scores_gemma":[0.0006057788,0.000109777946,0.98530203,0.00047030658,0.000041670464,0.0000035296023,0.000970985,0.0026824642,0.0032835992,0.00039546075,0.0058595333,0.0002748369],"about_ca_topic_score_codex":0.0015716413,"about_ca_topic_score_gemma":0.0013408597,"teacher_disagreement_score":0.25750276,"about_ca_system_score_codex":0.000026483045,"about_ca_system_score_gemma":0.00004380097,"threshold_uncertainty_score":0.5253198},"labels":[],"label_agreement":null},{"id":"W4323662788","doi":"10.1016/j.ijepes.2023.109062","title":"Design of an intelligent hybrid diagnosis scheme for cyber-physical PV systems at the microgrid level","year":2023,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Microgrid; Scheme (mathematics); Cyber-physical system; Computer science; Photovoltaic system; Engineering; Control engineering; Renewable energy; Electrical engineering; Mathematics","score_opus":0.027545890118921973,"score_gpt":0.26472371297845554,"score_spread":0.23717782285953357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323662788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7891003,0.008893809,0.18881263,0.00036468686,0.011971347,0.0004623125,0.000127629,0.00013011633,0.00013715806],"genre_scores_gemma":[0.99781084,0.0006089051,0.000093479466,0.000027832712,0.0011766559,0.00006399896,0.0000141852615,0.000035085155,0.00016899228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978933,0.00013088482,0.00072979537,0.00016700813,0.000765531,0.00031350405],"domain_scores_gemma":[0.9980079,0.0008927707,0.00026857055,0.00017484176,0.00052255986,0.00013336001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761451,0.00018976389,0.00037437346,0.000286197,0.00006830628,0.000089535584,0.0007788326,0.000076486875,0.0000070679903],"category_scores_gemma":[0.00014706168,0.00013285663,0.000234937,0.0003093081,0.000064105414,0.00017400247,0.00005429092,0.00020998354,0.000012592583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027562102,0.00030085607,0.0002511857,0.00004656044,0.00096382014,0.00014471127,0.00041998562,0.915256,0.03965195,0.0056921598,0.034507614,0.002489535],"study_design_scores_gemma":[0.000732196,0.0007305759,0.00023511864,0.0002643069,0.00005904649,0.00074954657,0.00015784442,0.81977624,0.102188595,0.00028359567,0.07447286,0.00035008776],"about_ca_topic_score_codex":0.00007711867,"about_ca_topic_score_gemma":0.000004312707,"teacher_disagreement_score":0.20871055,"about_ca_system_score_codex":0.00027257125,"about_ca_system_score_gemma":0.00006397229,"threshold_uncertainty_score":0.5417736},"labels":[],"label_agreement":null},{"id":"W4323868075","doi":"10.1016/j.automatica.2023.110957","title":"Cyber–physical systems subject to false data injections: A model predictive control framework for resilience operations","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Model predictive control; Computer science; Cyber-physical system; Resilience (materials science); Set (abstract data type); Control (management); Artificial intelligence","score_opus":0.025194645817886323,"score_gpt":0.29480053866234074,"score_spread":0.2696058928444544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323868075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10734338,0.00008157347,0.8881842,0.000325721,0.00061350106,0.001190389,0.00066987926,0.0013967922,0.00019457265],"genre_scores_gemma":[0.99097866,0.000018971721,0.0077732294,0.00006839011,0.0002780976,0.00072009803,0.000053657626,0.00003180043,0.00007708927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880964,0.000035196317,0.00025016197,0.00032278468,0.00023356298,0.00034868676],"domain_scores_gemma":[0.99839383,0.0006529273,0.000015633934,0.00074220845,0.000064038526,0.00013135783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024773704,0.00015277864,0.00024017047,0.00013024069,0.0002403561,0.000111694215,0.0005012432,0.00009567512,0.0000023039624],"category_scores_gemma":[0.00082300114,0.00014124335,0.000045704583,0.00063456123,0.000050995695,0.0003030303,0.000094701594,0.00017454928,0.00018998096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008645772,0.000030027457,0.000017362185,0.00007765534,0.00004120486,0.0000015756522,0.0013820111,0.97882205,0.00050016405,0.012556107,0.0064334036,0.0001297631],"study_design_scores_gemma":[0.00017107982,0.00007266733,0.0003991319,0.00012710862,0.000035736823,0.0000036705771,0.0003873955,0.99571437,0.00009755986,0.0025471584,0.00027679597,0.0001673061],"about_ca_topic_score_codex":0.000021173106,"about_ca_topic_score_gemma":0.000029981824,"teacher_disagreement_score":0.8836353,"about_ca_system_score_codex":0.000050915292,"about_ca_system_score_gemma":0.000065814376,"threshold_uncertainty_score":0.57597363},"labels":[],"label_agreement":null},{"id":"W4323921947","doi":"10.48550/arxiv.2303.04931","title":"An Observer-Based Key Agreement Scheme for Remotely Controlled Mobile Robots","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Key (lock); Robot; Scheme (mathematics); Cryptography; Computer security; Public key infrastructure; Software deployment; Distributed computing; Controller (irrigation); Mobile robot; Key exchange; Public-key cryptography; Encryption; Artificial intelligence","score_opus":0.09210934318505055,"score_gpt":0.2066575874753537,"score_spread":0.11454824429030315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323921947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.845915,0.00017230422,0.14857788,0.000031340704,0.0018896512,0.0018964327,0.00012275345,0.0009816713,0.00041295722],"genre_scores_gemma":[0.9970027,0.00018709002,0.0013488363,0.000038400405,0.0002179859,0.000023139672,0.00016159883,0.00006908909,0.0009511667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982333,0.00006912058,0.00028880662,0.00079778867,0.00011639681,0.0004945518],"domain_scores_gemma":[0.9983898,0.00019568815,0.00011449004,0.00092570623,0.0001435436,0.00023077877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025811742,0.00041146285,0.00060005294,0.00024413607,0.0001571212,0.00007031269,0.00083438493,0.00043438972,0.0000543374],"category_scores_gemma":[0.000044177166,0.00047069197,0.00041432228,0.00031768729,0.00008407754,0.00014714696,0.00019182434,0.00048172678,0.0001062516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022891145,0.00009072867,0.00049683737,0.00034797183,0.00016550298,0.000088164634,0.00009405324,0.9960452,0.00059449754,0.001125399,0.0006617948,0.00006095528],"study_design_scores_gemma":[0.0033894903,0.0001447493,0.0008493314,0.00015595758,0.00013298135,4.6111415e-7,0.00012683327,0.99139386,0.0007277124,0.0014961386,0.0010218966,0.0005605752],"about_ca_topic_score_codex":0.000088283785,"about_ca_topic_score_gemma":0.00021400493,"teacher_disagreement_score":0.15108769,"about_ca_system_score_codex":0.00025019032,"about_ca_system_score_gemma":0.00012244275,"threshold_uncertainty_score":0.99977446},"labels":[],"label_agreement":null},{"id":"W4324290838","doi":"10.1109/tac.2023.3256764","title":"Secure Nonlinear Sampled-Data Control System Against Stealthy Attack: Multirate Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Control theory (sociology); Sampling (signal processing); Nonlinear system; Zero (linguistics); Stability (learning theory); Sampled data systems; Computer science; Property (philosophy); Control (management); Process (computing); Control system; Mathematics; Engineering; Artificial intelligence","score_opus":0.025583931290065746,"score_gpt":0.2512125245384488,"score_spread":0.22562859324838302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324290838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07735232,0.00015793416,0.91097504,0.00022816304,0.0024899591,0.0015653579,0.0018063628,0.004884806,0.00054004474],"genre_scores_gemma":[0.9978455,0.000059466434,0.0011864243,0.00019238675,0.00021541252,0.00024011731,0.00007201342,0.00008518619,0.000103547165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99752134,0.0001693859,0.00064819737,0.00051260926,0.00047517137,0.00067329087],"domain_scores_gemma":[0.9979542,0.00052945653,0.00008346914,0.0011268902,0.00006338359,0.00024259526],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005804445,0.00039459404,0.00061327947,0.00031958762,0.00033946408,0.000101206795,0.00067477446,0.00023214796,0.000036192683],"category_scores_gemma":[0.00002003128,0.00036416296,0.00017594619,0.0007006007,0.00007810896,0.00026814174,0.0000030836172,0.00045235598,0.0007102072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045795143,0.00015116976,0.000009546995,0.0009591679,0.00037461706,0.000035414938,0.0006252871,0.9792198,0.0010301758,0.000018242821,0.0015566646,0.01597415],"study_design_scores_gemma":[0.0034467042,0.00005568379,0.0001400718,0.0001504577,0.00013531136,0.000018704664,0.0005518136,0.99348235,0.00017786301,0.0000015490231,0.0014774646,0.00036200523],"about_ca_topic_score_codex":0.000024265502,"about_ca_topic_score_gemma":0.000064585976,"teacher_disagreement_score":0.9204931,"about_ca_system_score_codex":0.00014818796,"about_ca_system_score_gemma":0.00007949533,"threshold_uncertainty_score":0.999881},"labels":[],"label_agreement":null},{"id":"W4327500501","doi":"10.1109/tps-isa56441.2022.00037","title":"Adaptive Control for Security and Resilience of Networked Cyber-Physical Systems: Where Are We?","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Dalhousie University; Université Laval","funders":"","keywords":"Cyber-physical system; Resilience (materials science); Computer science; Vulnerability (computing); Computer security; Critical infrastructure; Controller (irrigation); Wireless sensor network; Industrial control system; Wireless; Field (mathematics); Distributed computing; Control (management); Computer network; Telecommunications","score_opus":0.00793582779695265,"score_gpt":0.20821703298842614,"score_spread":0.2002812051914735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327500501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535535,0.011864407,0.027654855,0.00043095992,0.0013113212,0.0016386211,0.00036191446,0.0003535911,0.00283083],"genre_scores_gemma":[0.99943686,0.000114313414,0.00006364639,0.00001529457,0.00013521721,0.00013269544,0.0000015285393,0.000012954407,0.00008751217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992096,0.00005309384,0.00016481843,0.00017921359,0.0001785838,0.00021471534],"domain_scores_gemma":[0.99945134,0.00025167805,0.00004529818,0.00014917272,0.000038682603,0.0000638382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014520029,0.0001144749,0.00026137652,0.000033392353,0.00013380521,0.000012988836,0.00014892708,0.000035638834,0.000015620322],"category_scores_gemma":[0.000011054588,0.00010424591,0.000055689445,0.00013785176,0.00007708533,0.00007727779,0.000052389074,0.00016361618,8.766541e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002233905,0.00012100968,0.0016992358,0.00057849975,0.00010640829,0.0000102339845,0.0034740514,0.9577485,0.0008886805,0.017399289,0.017311243,0.00043950716],"study_design_scores_gemma":[0.00067384995,0.00018181978,0.00037995866,0.000053063322,0.000022959104,0.000009708351,0.00503739,0.9855651,0.00018556365,0.0005920182,0.0071258037,0.00017272304],"about_ca_topic_score_codex":0.00004238536,"about_ca_topic_score_gemma":0.000062021936,"teacher_disagreement_score":0.04588334,"about_ca_system_score_codex":0.000033788856,"about_ca_system_score_gemma":0.0000140481225,"threshold_uncertainty_score":0.4251025},"labels":[],"label_agreement":null},{"id":"W4352976914","doi":"10.1109/tcns.2023.3260041","title":"On Information Fusion in Optimal Linear FDI Attacks Against Remote State Estimation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Covariance; Network packet; Sensor fusion; State (computer science); Data mining; Mathematical optimization; Estimation; Algorithm; Computer security; Mathematics; Artificial intelligence; Statistics; Engineering","score_opus":0.007507546880488501,"score_gpt":0.21585346058334223,"score_spread":0.20834591370285374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4352976914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21048583,0.000054331143,0.7861854,0.000034686178,0.0022008305,0.00047159646,0.000038165363,0.00028379878,0.0002453485],"genre_scores_gemma":[0.9994215,0.00019899341,0.00015999466,0.00003244494,0.000087240514,0.000027190583,0.000016120162,0.000018937895,0.0000376012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986841,0.000071017705,0.0005446619,0.00012244709,0.00028549458,0.00029225033],"domain_scores_gemma":[0.99935526,0.0002428336,0.000084359126,0.00020566999,0.00005067785,0.00006119713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038626755,0.00016414528,0.0002750857,0.0003028476,0.000091546026,0.00002969229,0.00011060244,0.00012597794,0.000004069861],"category_scores_gemma":[0.000008001808,0.00015969346,0.00007851269,0.00062339276,0.000025170726,0.00029852617,6.7334423e-7,0.00027938635,0.00014873123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011577966,0.00001581296,0.000005887588,0.00011299091,0.000025590642,0.0000042156853,0.00034689825,0.9875037,0.000225018,0.000013460402,0.0003690381,0.011261587],"study_design_scores_gemma":[0.0010150073,0.00011028677,0.00018553244,0.0004141379,0.000010144512,0.000002243953,0.000051984844,0.9973306,0.00029798225,0.000015594786,0.00042393283,0.00014251904],"about_ca_topic_score_codex":0.000041801988,"about_ca_topic_score_gemma":0.000044787485,"teacher_disagreement_score":0.78893566,"about_ca_system_score_codex":0.000086835775,"about_ca_system_score_gemma":0.000019913854,"threshold_uncertainty_score":0.651211},"labels":[],"label_agreement":null},{"id":"W4360584139","doi":"10.1109/isgt51731.2023.10066437","title":"A Resilience Quantitative Framework for Wide Area Damping Control Against Cyberattacks","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Observability; Controllability; Vulnerability (computing); Resilience (materials science); Computer science; Measure (data warehouse); Denial-of-service attack; Metric (unit); Control theory (sociology); Stability (learning theory); Disaster area; Computer network; Control (management); Engineering; Mathematics; Computer security; Data mining; The Internet","score_opus":0.023029710140363552,"score_gpt":0.27999962641618525,"score_spread":0.2569699162758217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360584139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2544049,0.00022555569,0.73836696,0.00049581984,0.00088083354,0.0004528482,0.000033165663,0.0010742147,0.0040656812],"genre_scores_gemma":[0.9879592,0.00013623704,0.010909923,0.0005331528,0.00008420864,0.00011296826,0.0000119260585,0.000029283361,0.00022311552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894917,0.000018624734,0.00021062366,0.00023804008,0.00015824419,0.00042531177],"domain_scores_gemma":[0.99808306,0.0015293622,0.000022592432,0.00021956797,0.000053652762,0.00009174104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022531273,0.00015509537,0.00019896038,0.00011169516,0.0001623344,0.00005771526,0.00021244827,0.00011640104,0.000020183063],"category_scores_gemma":[0.0006801158,0.00013954416,0.000082302126,0.00048431964,0.000073046234,0.00016502531,0.000022577866,0.00019685004,0.00015639878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009306851,0.00003798614,0.0048639984,0.00025787353,0.00014377384,0.00004534997,0.0039418223,0.8244927,0.008659709,0.113282345,0.042502947,0.0016784223],"study_design_scores_gemma":[0.0006768958,0.00009527644,0.004921752,0.0002571876,0.000016311658,0.0000020529276,0.0017942949,0.9661958,0.00581866,0.010273035,0.009448938,0.00049977785],"about_ca_topic_score_codex":0.000004723432,"about_ca_topic_score_gemma":0.000038035014,"teacher_disagreement_score":0.7335543,"about_ca_system_score_codex":0.000030908406,"about_ca_system_score_gemma":0.000020964653,"threshold_uncertainty_score":0.5690446},"labels":[],"label_agreement":null},{"id":"W4360764590","doi":"10.1109/icir55739.2022.00027","title":"Virtualized Experiential Learning Platform (VELP) for Smart Grids and Operational Technology Cybersecurity","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Virtualization; Cloud computing; Computer science; Industry 4.0; Experiential learning; Cyberspace; Computer security; Engineering management; Engineering; The Internet; World Wide Web; Embedded system; Operating system","score_opus":0.007925583866896308,"score_gpt":0.21844872262790518,"score_spread":0.21052313876100887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360764590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98822856,0.00032317295,0.007713903,0.00020377937,0.0008365704,0.0002625902,0.000018164295,0.0004405617,0.001972672],"genre_scores_gemma":[0.9980673,0.000026070662,0.0009749738,0.00006586561,0.00008210592,0.0002508349,0.000035305904,0.000015661044,0.00048186159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993211,0.000010693477,0.00014838144,0.000176695,0.00013773609,0.00020539205],"domain_scores_gemma":[0.99978906,0.0000492924,0.000012932119,0.000084468375,0.000020729076,0.00004348945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013588423,0.00010128885,0.00012316965,0.00011950493,0.000497944,0.000030041458,0.00011443542,0.00006417688,0.00044844337],"category_scores_gemma":[0.00003493433,0.00010344752,0.00003571245,0.00016348969,0.0000700608,0.00012649444,0.00012025225,0.00025269116,0.0000037707052],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006350877,0.00047566116,0.015072098,0.00034742197,0.0004679654,0.00006137382,0.05533874,0.123858064,0.09764078,0.63732046,0.04935002,0.019432332],"study_design_scores_gemma":[0.0021510373,0.00038532063,0.00032623688,0.000007275292,0.00001785317,0.00012164059,0.011301102,0.36429712,0.016137367,0.0019946129,0.6027056,0.0005548321],"about_ca_topic_score_codex":0.000011732336,"about_ca_topic_score_gemma":0.000020123802,"teacher_disagreement_score":0.63532585,"about_ca_system_score_codex":0.000040117313,"about_ca_system_score_gemma":0.00001862092,"threshold_uncertainty_score":0.49101403},"labels":[],"label_agreement":null},{"id":"W4361272491","doi":"10.18280/ijsse.130108","title":"Analysis on Secured Cryptography Models with Robust Authentication and Routing Models in Smart Grid","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cryptography; Computer security; Authentication (law); Smart grid; Computer network; Engineering; Electrical engineering","score_opus":0.00827107521116032,"score_gpt":0.19985760167385638,"score_spread":0.19158652646269606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361272491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90470606,0.0003963248,0.093832284,0.00024690924,0.00044291516,0.000073578885,0.000022460652,0.00008111253,0.00019837133],"genre_scores_gemma":[0.9974035,0.0017805087,0.0006479937,0.0000153273,0.00012183534,0.0000021766166,0.000012456068,0.000014551812,0.0000016469545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894524,0.000015006133,0.0003720321,0.0001390094,0.0003493895,0.00017930211],"domain_scores_gemma":[0.9995572,0.000111976915,0.00006951403,0.000075847885,0.00009679492,0.000088661705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036039096,0.00014518642,0.00024151882,0.00095280644,0.00003693407,0.000062053565,0.00015960868,0.000070520095,0.0000033786764],"category_scores_gemma":[0.000021847485,0.00013181422,0.00007619088,0.00066755456,0.000029632027,0.00045637897,0.00003284668,0.00031542368,5.380997e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073660965,0.000016878375,0.0013164674,0.000025718984,0.00033925776,0.00004169697,0.0027283565,0.9887449,0.00010160305,0.00630045,0.0000073740975,0.00030362356],"study_design_scores_gemma":[0.00048121225,0.000035450237,0.013190468,0.00017345742,0.000056079098,0.000039703424,0.00023006227,0.98437756,0.00007467085,0.0011176862,0.00007889336,0.00014476287],"about_ca_topic_score_codex":0.000013269052,"about_ca_topic_score_gemma":0.000039354894,"teacher_disagreement_score":0.09318429,"about_ca_system_score_codex":0.00004896633,"about_ca_system_score_gemma":0.000010853349,"threshold_uncertainty_score":0.5375228},"labels":[],"label_agreement":null},{"id":"W4361989366","doi":"10.1007/978-3-031-30122-3_18","title":"SCADA Radio Blackbox Reverse Engineering","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"SCADA; Computer science; Supervisory control; Embedded system; Wireless; Programmable logic controller; Network packet; Computer network; Computer hardware; Real-time computing; Telecommunications; Engineering; Electrical engineering; Operating system; Control (management)","score_opus":0.00899106561047427,"score_gpt":0.19368442971886682,"score_spread":0.18469336410839254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361989366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00097061,0.0007622968,0.9865582,0.00014105452,0.0077987947,0.00028876265,0.000011776639,0.0009207677,0.0025477463],"genre_scores_gemma":[0.74564207,0.0037912354,0.22718929,0.0018986422,0.013141508,0.00006843915,0.00006759392,0.001109785,0.007091436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794906,0.000005093351,0.0003066116,0.00062365795,0.00054997153,0.0005655975],"domain_scores_gemma":[0.9989375,0.00025402135,0.000041151005,0.00057426904,0.000049493567,0.00014356358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033186874,0.0004069959,0.00037095134,0.0006027482,0.000092275164,0.00012629406,0.0009313166,0.0003158337,0.000027009837],"category_scores_gemma":[0.000068301226,0.00040243933,0.00010245436,0.00049248245,0.00029548674,0.00019249867,0.00024448207,0.00089764036,0.00019282012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013115622,0.0000027701483,0.000012402506,0.00011424249,0.00001109523,0.00013350362,0.0003846498,0.9764741,0.00028357067,0.0010333123,0.0002083524,0.02134067],"study_design_scores_gemma":[0.00013773983,0.000033634424,0.00010942189,0.0006665838,0.0000094967045,0.000055603097,2.1825066e-7,0.9835868,0.0016661589,0.0045826286,0.008454544,0.0006971978],"about_ca_topic_score_codex":0.000008669013,"about_ca_topic_score_gemma":0.00003529615,"teacher_disagreement_score":0.7593689,"about_ca_system_score_codex":0.0002223583,"about_ca_system_score_gemma":0.000094633244,"threshold_uncertainty_score":0.99984276},"labels":[],"label_agreement":null},{"id":"W4361995010","doi":"10.1007/978-3-031-30122-3_17","title":"Defense Models for Data Recovery in Industrial Control Systems","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer security; Automaton; Industrial control system; Language change; Work (physics); Control (management); Risk analysis (engineering); Artificial intelligence; Business; Engineering","score_opus":0.0591159600742843,"score_gpt":0.2403173908939618,"score_spread":0.18120143081967752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361995010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016499551,0.00077749224,0.9896083,0.0000638619,0.007703283,0.0008066921,0.00019536527,0.00017260994,0.0005074418],"genre_scores_gemma":[0.964789,0.00088008336,0.024318546,0.0006251575,0.00787854,0.00015694277,0.00028784148,0.00033867595,0.0007252127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977898,0.00001724849,0.00044620913,0.0008111733,0.00042363125,0.00051191833],"domain_scores_gemma":[0.9979245,0.00092416076,0.00007170033,0.00093798526,0.00005612659,0.00008553938],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095952826,0.00032224754,0.00048674666,0.00056031905,0.00007641377,0.00019173384,0.0015986954,0.00048699314,0.000001957252],"category_scores_gemma":[0.00015612593,0.00030647367,0.000059925045,0.00032125163,0.00021278851,0.000396253,0.00032228974,0.00072331214,0.0000136008075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015447298,0.0000041967573,0.000009083889,0.00007290821,0.000009946703,0.000028039167,0.00010587834,0.9650096,0.00001191642,0.0010038421,0.00018027739,0.03354886],"study_design_scores_gemma":[0.0005148519,0.00004756481,0.0000034508626,0.0005633626,0.000008628896,0.000012213342,2.8027e-7,0.97760576,0.000017525505,0.01990442,0.0009793289,0.0003425831],"about_ca_topic_score_codex":0.000053111806,"about_ca_topic_score_gemma":0.00030336535,"teacher_disagreement_score":0.9652897,"about_ca_system_score_codex":0.00018616834,"about_ca_system_score_gemma":0.00021577188,"threshold_uncertainty_score":0.9999387},"labels":[],"label_agreement":null},{"id":"W4362589807","doi":"10.1007/s42835-023-01482-3","title":"Cyber-Physical Power and Energy Systems with Wireless Sensor Networks: A Systematic Review","year":2023,"lang":"en","type":"review","venue":"Journal of Electrical Engineering and Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Wireless sensor network; Cyber-physical system; Software deployment; Reliability (semiconductor); Resilience (materials science); Computer science; Wireless; Electric power system; Efficient energy use; Computer security; Computer network; Power (physics); Engineering; Risk analysis (engineering); Telecommunications; Electrical engineering; Business","score_opus":0.00542983734777432,"score_gpt":0.21209728681385392,"score_spread":0.2066674494660796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362589807","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004050219,0.9966113,0.00259603,0.000018048815,0.0002333007,0.00023415114,0.0000020500959,0.0002564197,0.000008228835],"genre_scores_gemma":[0.0008693269,0.9987667,0.00004400408,0.000004677433,0.00015273932,0.000052041407,0.0000010921107,0.00008138552,0.000027996697],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9983479,0.000046457324,0.0008027163,0.00020132386,0.00021503985,0.0003866134],"domain_scores_gemma":[0.9988848,0.0004023516,0.00027144808,0.00021741581,0.00008186087,0.00014211095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002316174,0.0004186972,0.0029972764,0.0006668743,0.000034826415,0.00004000012,0.0002463608,0.00043189686,2.7311452e-7],"category_scores_gemma":[0.00015141188,0.0002694358,0.00016067432,0.0014647647,0.000057278954,0.000052449093,0.000042462456,0.0010900756,0.0000015950702],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028930424,0.0000329949,4.62325e-7,0.97258794,0.0012495745,0.0006403398,0.000013669276,0.0049129464,0.0000028416705,0.0023791464,0.0002823218,0.017894858],"study_design_scores_gemma":[0.00022218926,0.0005392454,2.2624386e-7,0.79105806,0.0028193917,0.013228769,0.000012068598,0.134451,0.000001342614,0.000013366033,0.056910653,0.0007436588],"about_ca_topic_score_codex":0.0000011445491,"about_ca_topic_score_gemma":2.8277174e-7,"teacher_disagreement_score":0.18152986,"about_ca_system_score_codex":0.00007469443,"about_ca_system_score_gemma":0.00004241988,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W4362654447","doi":"10.1109/tcns.2023.3264937","title":"Stability Analysis for Model-Based Event-Triggered Nonlinear Control Systems Under DoS Attacks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Nonlinear system; Computer science; Controller (irrigation); Denial-of-service attack; Stability (learning theory); Discretization; Lyapunov function; Exponential stability; Mathematics; Control (management); Artificial intelligence","score_opus":0.021457566667787233,"score_gpt":0.2451776959553583,"score_spread":0.22372012928757107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362654447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02278618,0.00073600333,0.96980006,0.000067500805,0.0031182936,0.001913548,0.0010267548,0.00052301644,0.000028676519],"genre_scores_gemma":[0.9985933,0.00003737204,0.000092008784,0.00003572957,0.00037077023,0.00070790667,0.00003239383,0.000057736226,0.00007279983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731106,0.00020980572,0.000978727,0.0004189828,0.00045033687,0.0006310942],"domain_scores_gemma":[0.99764436,0.0011304072,0.0001665047,0.00063220377,0.00024479855,0.0001817275],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009654253,0.0003468364,0.0010638838,0.0003459117,0.00022753618,0.00006745425,0.0002791322,0.0002873002,0.0000086885175],"category_scores_gemma":[0.000008862771,0.00032524735,0.00069679855,0.0014160002,0.00008132829,0.00011605876,6.3305333e-7,0.00027430258,0.000022606648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027835273,0.00009187721,0.00013863652,0.0004067763,0.0015197976,0.0000019180482,0.000055144585,0.9963213,0.0007234518,0.000050552386,0.00034647956,0.00006568579],"study_design_scores_gemma":[0.0030626294,0.00012109876,0.00007449909,0.000120260076,0.00093462586,8.820228e-7,0.000112015034,0.99481183,0.00021632413,0.000013175065,0.00023200506,0.00030066492],"about_ca_topic_score_codex":0.00006202679,"about_ca_topic_score_gemma":0.0001655037,"teacher_disagreement_score":0.97580713,"about_ca_system_score_codex":0.00015809665,"about_ca_system_score_gemma":0.00009257816,"threshold_uncertainty_score":0.99991995},"labels":[],"label_agreement":null},{"id":"W4365800313","doi":"10.2139/ssrn.4418724","title":"Safe Control of Logical Control Networks with Random Impulses","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control (management); Computer science; Control theory (sociology); Artificial intelligence","score_opus":0.005577065837271238,"score_gpt":0.20187441143811938,"score_spread":0.19629734560084813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365800313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057734653,0.022080962,0.9163813,0.00026410943,0.002248203,0.0006289938,0.000033952143,0.0002704145,0.0003574153],"genre_scores_gemma":[0.982691,0.0155794425,0.000048620106,0.00003864447,0.001408367,0.000028578761,0.000009733966,0.00007018741,0.00012545126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962776,0.00014811262,0.000607244,0.0002948912,0.00041609287,0.0022561178],"domain_scores_gemma":[0.9987951,0.0003307115,0.00023142828,0.00030671028,0.00019439854,0.00014166196],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015212701,0.00040225658,0.00088371447,0.00016312323,0.000115787356,0.000063610605,0.00056930946,0.00042442558,0.000025522275],"category_scores_gemma":[0.000115508934,0.00029295392,0.00032661206,0.0001695772,0.0001470639,0.00006912885,0.00006422617,0.0053094225,0.000010773345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007267997,0.000035075507,0.0012809784,0.00006792162,0.0011218985,0.000028905379,0.000050627466,0.992349,0.000055701294,0.0025395215,0.00027031757,0.0014732449],"study_design_scores_gemma":[0.034029994,0.002028318,0.0047581554,0.0013706351,0.0014473865,0.0013583271,0.00092996826,0.84590906,0.00017418902,0.1033901,0.0023360683,0.0022677795],"about_ca_topic_score_codex":0.00003360898,"about_ca_topic_score_gemma":0.00054052466,"teacher_disagreement_score":0.9249563,"about_ca_system_score_codex":0.0004101174,"about_ca_system_score_gemma":0.00093375234,"threshold_uncertainty_score":0.99995226},"labels":[],"label_agreement":null},{"id":"W4368408198","doi":"10.1145/3576841.3589614","title":"PIRAT - Tool for Automated Cyber-risk Assessment of PLC Components & Systems Deploying NVD CVE & MITRE ATT&CK Databases","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Component (thermodynamics); Critical infrastructure; Computer science; Programmable logic controller; Database; Vulnerability (computing); Computer security; Risk analysis (engineering); Operating system; Business","score_opus":0.05757462757142046,"score_gpt":0.3162935662938664,"score_spread":0.25871893872244595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368408198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96115243,0.0002516515,0.031872272,0.000046837908,0.0016791412,0.0008301689,0.0006560054,0.0030079938,0.00050350244],"genre_scores_gemma":[0.9855466,0.00032272216,0.0112783415,0.000032921515,0.00020781536,0.00017494164,0.001232423,0.00009718929,0.0011070803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978478,0.000085137086,0.0006423608,0.00040064022,0.0004544849,0.000569563],"domain_scores_gemma":[0.99839073,0.000565348,0.00012301738,0.00067677087,0.00011394819,0.00013017656],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004703168,0.0003193701,0.00049131876,0.00023197832,0.00020361603,0.00008724844,0.00034059962,0.00012580358,0.000062979016],"category_scores_gemma":[0.00014249129,0.00028786497,0.00015538906,0.00052359747,0.00006516186,0.0003034617,0.00014988742,0.00022495739,0.00022989635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043512016,0.00024937894,0.106802754,0.0029910365,0.00061486656,0.000012742063,0.0010454442,0.61834174,0.0759829,0.0008368361,0.19275425,0.00032450474],"study_design_scores_gemma":[0.001189966,0.000041272542,0.042188656,0.0005709745,0.00013933939,0.000019379775,0.00032704696,0.7453828,0.00175256,0.000017381793,0.20757532,0.0007953283],"about_ca_topic_score_codex":0.0008854061,"about_ca_topic_score_gemma":0.0011460696,"teacher_disagreement_score":0.12704101,"about_ca_system_score_codex":0.000111560235,"about_ca_system_score_gemma":0.000045282963,"threshold_uncertainty_score":0.9999573},"labels":[],"label_agreement":null},{"id":"W4376644215","doi":"10.3390/math11102313","title":"Language Recovery in Discrete-Event Systems against Sensor Deception Attacks","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundo para o Desenvolvimento das Ciências e da Tecnologia; King Saud University","keywords":"Nondeterministic algorithm; Supervisor; Supervisory control; Computer science; Finite-state machine; Rendering (computer graphics); Wireless sensor network; Wireless; Event (particle physics); Real-time computing; Computer security; Control (management); Artificial intelligence; Computer network; Theoretical computer science; Algorithm; Telecommunications","score_opus":0.010571067682674714,"score_gpt":0.24450559304786673,"score_spread":0.23393452536519202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376644215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341005,0.00015593343,0.003343304,0.000023402336,0.00057312456,0.00017171523,0.00001224896,0.0003502093,0.0019600007],"genre_scores_gemma":[0.99809825,0.00024494424,0.00066894176,0.0000109685025,0.000121416444,0.000028020226,0.000024409757,0.000029901727,0.0007731197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934036,0.000015493708,0.00021439868,0.00008937477,0.0001422088,0.00019819401],"domain_scores_gemma":[0.9996718,0.00008172394,0.000022333434,0.00018069263,0.0000074927416,0.000035930007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019447185,0.000094637966,0.00014330189,0.00010614877,0.000024287041,0.00003186036,0.00008939772,0.00006857561,0.000010504995],"category_scores_gemma":[0.00004656182,0.00008508159,0.000039092916,0.00027085838,0.000013378766,0.000063264124,0.00002455065,0.000104459716,0.00044960258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043050954,0.00007400251,0.000522688,0.0023578675,0.000038538332,0.00016677922,0.015079045,0.95700073,0.014279526,0.000799866,0.0074633188,0.002213318],"study_design_scores_gemma":[0.00022919655,0.000018519837,0.0012287822,0.0005088945,0.000008141353,0.000012411707,0.006078942,0.98807305,0.0014756954,0.0002363446,0.0018496949,0.0002802981],"about_ca_topic_score_codex":0.000006458818,"about_ca_topic_score_gemma":0.000025267287,"teacher_disagreement_score":0.031072332,"about_ca_system_score_codex":0.000054098447,"about_ca_system_score_gemma":0.0000048660486,"threshold_uncertainty_score":0.57788813},"labels":[],"label_agreement":null},{"id":"W4377140673","doi":"10.1177/01423312231171473","title":"Decentralized event-triggered resilient control for a class of networked control systems under denial-of-service attacks","year":2023,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Denial-of-service attack; Decentralised system; Noise (video); Benchmark (surveying); Computer science; Stability (learning theory); Networked control system; Actuator; Transmission (telecommunications); Jamming; Control (management); Control engineering; Engineering","score_opus":0.023980527958313638,"score_gpt":0.22932367173952045,"score_spread":0.20534314378120683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377140673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35824344,0.0061922353,0.6272688,0.001135585,0.0032486299,0.003367294,0.00035634422,0.00011058276,0.0000770699],"genre_scores_gemma":[0.9994974,0.00022799053,0.00004326167,0.000033352615,0.000045320645,0.00011681248,0.0000020288153,0.000017129274,0.00001671517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981486,0.00009406445,0.0007841081,0.00016181816,0.00053894904,0.00027246735],"domain_scores_gemma":[0.998764,0.00016948697,0.00024058309,0.0003236313,0.00043048366,0.00007181496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000752237,0.00019258504,0.00065521774,0.00012481234,0.00010925422,0.000009954843,0.00029757118,0.00012453942,0.0000050140493],"category_scores_gemma":[0.00004150284,0.00015030522,0.00027807485,0.00037576337,0.00016672893,0.000113469505,0.000004204571,0.00012100909,6.474187e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093819003,0.00009850058,0.00021773705,0.00082503667,0.0007728391,3.0313606e-7,0.00016295565,0.92314154,0.07273773,0.0004602858,0.00014171095,0.00050317275],"study_design_scores_gemma":[0.03276655,0.00031564376,0.0031050856,0.0014989311,0.0018399082,0.0000048008587,0.0004258563,0.92634135,0.030350978,0.00036867804,0.0025623548,0.00041987264],"about_ca_topic_score_codex":0.00016558394,"about_ca_topic_score_gemma":0.0005417413,"teacher_disagreement_score":0.64125395,"about_ca_system_score_codex":0.000050263356,"about_ca_system_score_gemma":0.00010981634,"threshold_uncertainty_score":0.6129269},"labels":[],"label_agreement":null},{"id":"W4377964664","doi":"10.1007/978-981-99-0915-5","title":"Intelligent Solutions for Smart Grids and Smart Cities","year":2023,"lang":"en","type":"book","venue":"Lecture notes in electrical engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Aalborg Universitet; Universiti Teknologi Brunei; University of Ontario Institute of Technology","keywords":"Smart grid; Computer science; Engineering; Electrical engineering","score_opus":0.012217198114071615,"score_gpt":0.21058251330171218,"score_spread":0.19836531518764056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377964664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009165505,0.022940483,0.96586406,0.00020553288,0.0036241952,0.0012354105,0.00010180174,0.0019803212,0.0031316264],"genre_scores_gemma":[0.78283536,0.051923368,0.027088797,0.0013125046,0.02041404,0.0045531867,0.0024457374,0.004977391,0.10444961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980418,0.000010149029,0.00040717665,0.00040550643,0.00021778468,0.00091758324],"domain_scores_gemma":[0.99835736,0.0012079932,0.000028603681,0.00023475285,0.000036845402,0.00013442778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020479408,0.00048529822,0.00054420036,0.0005944261,0.00009371988,0.000059254933,0.00023222501,0.0006658925,0.000009328019],"category_scores_gemma":[0.00049042323,0.0005055601,0.00015920382,0.0004447895,0.000055306748,0.000060675513,0.000076389224,0.0011956644,0.000016209091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017294979,0.000018911405,0.00003936114,0.0011855161,0.00017135848,0.00003517588,0.0004399789,0.97119784,0.00053172116,0.005089822,0.00460182,0.01667122],"study_design_scores_gemma":[0.00029785396,0.00013715835,0.00017115251,0.0004854635,0.00007382242,0.00003708377,0.0000022314248,0.9101221,0.0011984372,0.010596307,0.07585415,0.0010242357],"about_ca_topic_score_codex":0.000009458401,"about_ca_topic_score_gemma":0.00009591217,"teacher_disagreement_score":0.9387753,"about_ca_system_score_codex":0.00041036654,"about_ca_system_score_gemma":0.00008596718,"threshold_uncertainty_score":0.9997396},"labels":[],"label_agreement":null},{"id":"W4377972250","doi":"10.1109/oncon56984.2022.10126142","title":"On the Economic Vulnerability Analysis of Power Grids to False Data Injection Attacks Against Wide Area Measurement Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"Public Safety Canada","keywords":"Electric power system; Computer science; Vulnerability (computing); Contingency; Generator (circuit theory); Vulnerability assessment; Reliability engineering; Power flow; Power (physics); Economic dispatch; Cyber-physical system; Computer security; Engineering","score_opus":0.042560542330535855,"score_gpt":0.2446302079757508,"score_spread":0.20206966564521495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377972250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915206,0.00008812121,0.00370982,0.00014750386,0.0009995011,0.0002849299,0.0001655797,0.00007969103,0.0030042892],"genre_scores_gemma":[0.9997365,0.0000065864647,0.0000068971517,0.00011884532,0.000019611107,0.000043327673,0.000033384284,0.000008347847,0.00002649093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988645,0.00011546143,0.0002846758,0.00026088223,0.00032838472,0.00014612566],"domain_scores_gemma":[0.9987517,0.00015504683,0.00003557439,0.000977668,0.000030230609,0.00004976909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013640954,0.000105825966,0.00021159029,0.00016907182,0.00014626578,0.000027174454,0.00048176982,0.000024902622,0.00026100356],"category_scores_gemma":[0.00009962626,0.00007835167,0.00007211401,0.00043656144,0.000020825164,0.00007359271,0.0001888321,0.00016814229,0.000013856684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012274096,0.000025306243,0.0024938635,0.000011080714,0.00029744074,4.324534e-7,0.00023151883,0.986443,0.0003082725,0.0003148157,0.009812996,0.000049013084],"study_design_scores_gemma":[0.000118091964,0.000110172645,0.013249488,0.000012511265,0.00015211386,0.0000010463092,0.0015136226,0.9766381,0.00056124787,0.000024948593,0.0074024065,0.00021625317],"about_ca_topic_score_codex":0.000345132,"about_ca_topic_score_gemma":0.0008075047,"teacher_disagreement_score":0.010755625,"about_ca_system_score_codex":0.00047405442,"about_ca_system_score_gemma":0.000030736734,"threshold_uncertainty_score":0.31950885},"labels":[],"label_agreement":null},{"id":"W4378980144","doi":"10.1109/icict57646.2023.10134409","title":"Development and Improving Energy Management System in Smart Grid through Integration with Renewable Energy System with AI and Internet of Things","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Smart grid; Renewable energy; The Internet; Computer science; Energy management; Electricity; Energy management system; Grid; Telecommunications; Energy (signal processing); Electrical engineering; Engineering; World Wide Web","score_opus":0.004783826839242026,"score_gpt":0.16552120862386946,"score_spread":0.16073738178462743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378980144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.507644,0.00036960546,0.47707337,0.00002286855,0.00032585693,0.00023554382,0.000001449269,0.00064445357,0.013682843],"genre_scores_gemma":[0.994152,0.000059963535,0.005237147,0.000020667429,0.000014860329,0.00004626187,0.000008717688,0.000017376326,0.00044297788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921435,0.000013685053,0.00022895809,0.00020657029,0.00015658764,0.00017986963],"domain_scores_gemma":[0.9997823,0.000016874335,0.000035821507,0.00010763702,0.000022166409,0.000035180645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011909627,0.00014390946,0.00018704138,0.0001402157,0.000034465884,0.00004025985,0.000071101626,0.000048220547,9.2691306e-7],"category_scores_gemma":[0.0000010209159,0.00009971177,0.000007652874,0.00028216373,0.00003046368,0.00024534715,0.00006264039,0.000052432217,5.406861e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008107253,0.00017908454,0.016651826,0.03597406,0.0013543818,0.0011328001,0.074500754,0.23264588,0.011546787,0.500975,0.004810559,0.11941811],"study_design_scores_gemma":[0.0012666798,0.00018564166,0.0021656838,0.0041021653,0.000038379803,0.00012052649,0.021786993,0.8695976,0.09319849,0.000018300096,0.0069515817,0.00056791113],"about_ca_topic_score_codex":0.0051792,"about_ca_topic_score_gemma":0.0059328894,"teacher_disagreement_score":0.63695174,"about_ca_system_score_codex":0.00009269662,"about_ca_system_score_gemma":0.00001333747,"threshold_uncertainty_score":0.78294355},"labels":[],"label_agreement":null},{"id":"W4379017221","doi":"10.18280/ijsse.130204","title":"Trust Cyber Physical Systems: Trust Degree Framework and Evaluation","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cyber-physical system; Computer security; Computer science; Degree (music); Physics","score_opus":0.013617010234156362,"score_gpt":0.2544167256720413,"score_spread":0.24079971543788495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379017221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903775,0.0016996899,0.00463447,0.00023207956,0.002538703,0.00008991256,0.000018500636,0.00009003782,0.00031909312],"genre_scores_gemma":[0.9971142,0.0017407538,0.00015761943,0.000011356624,0.00094391376,0.0000030236884,0.000005485031,0.000016343103,0.00000731313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988913,0.000020372481,0.0003118391,0.00010412261,0.00051263114,0.00015974925],"domain_scores_gemma":[0.99940276,0.00019381555,0.000059344824,0.00006894642,0.00017040741,0.0001047157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048628412,0.00013353377,0.0002049104,0.0002237086,0.00004403976,0.0000827326,0.00016806327,0.000090973546,0.000010086332],"category_scores_gemma":[0.00017109753,0.000125259,0.0000577837,0.00016804534,0.00003431968,0.00030494478,0.000046294095,0.00036420036,0.000005659154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011861587,0.000052818345,0.0020386472,0.0002583585,0.0005194982,0.0001580782,0.008490717,0.9534232,0.0017411109,0.018109005,0.0004559339,0.014634023],"study_design_scores_gemma":[0.0004816734,0.00003329045,0.018354056,0.0003082185,0.000035801066,0.00023857698,0.0003504174,0.97361654,0.00018647338,0.00094539183,0.0052805953,0.00016893876],"about_ca_topic_score_codex":0.000004727938,"about_ca_topic_score_gemma":0.0000014955315,"teacher_disagreement_score":0.020193374,"about_ca_system_score_codex":0.000073618074,"about_ca_system_score_gemma":0.000017607848,"threshold_uncertainty_score":0.51079136},"labels":[],"label_agreement":null},{"id":"W4379982878","doi":"10.1016/j.epsr.2023.109496","title":"Real-time detection of stealthy IoT-based cyber-attacks on power distribution systems: A novel anomaly prediction approach","year":2023,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Anomaly detection; Computer security; Reliability (semiconductor); Smart grid; Computer science; Electric power system; Safeguarding; Internet of Things; Cyber-physical system; Power (physics); Reliability engineering; Real-time computing; Engineering; Embedded system; Data mining; Electrical engineering","score_opus":0.02341051144799782,"score_gpt":0.27486257104106127,"score_spread":0.25145205959306344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379982878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95750934,0.0008682795,0.030036313,0.000024844578,0.0019210742,0.0020241837,0.0002941286,0.0011201157,0.006201693],"genre_scores_gemma":[0.99867815,0.00009375947,0.000007785809,0.0000014892516,0.00015267584,0.00032669358,0.00013376446,0.00006361293,0.0005420862],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99560785,0.00049270113,0.00068439526,0.00054242986,0.001623814,0.001048791],"domain_scores_gemma":[0.99811673,0.0004919487,0.00010913162,0.00063458376,0.00042670555,0.00022090085],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003078523,0.00027476254,0.00044780917,0.0011299846,0.00031037748,0.00011608146,0.00037912352,0.0003925557,0.000007249446],"category_scores_gemma":[0.00026313617,0.0002605858,0.000115621566,0.0044307993,0.00008144073,0.00012952638,0.000041800926,0.00080370076,0.00024425748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050850975,0.00064052053,0.00063143304,0.0023168472,0.00025201522,0.000033870936,0.000929828,0.3513383,0.62227726,0.0010227058,0.019753499,0.00029520004],"study_design_scores_gemma":[0.00081402453,0.0011390741,0.0072013745,0.0003105505,0.000012835384,0.000034205266,0.00036365003,0.97126085,0.013319639,0.0000027275692,0.0052376627,0.00030338435],"about_ca_topic_score_codex":0.0006190797,"about_ca_topic_score_gemma":0.000005118178,"teacher_disagreement_score":0.6199226,"about_ca_system_score_codex":0.0008688674,"about_ca_system_score_gemma":0.00020935651,"threshold_uncertainty_score":0.9999846},"labels":[],"label_agreement":null},{"id":"W4381735259","doi":"10.3233/aise230004","title":"A Survey of Smart Grid Intrusion Detection Datasets","year":2023,"lang":"en","type":"book-chapter","venue":"Ambient intelligence and smart environments","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Intrusion detection system; Globe; Computer security; Grid; Computer science; Intrusion prevention system; Intrusion; Engineering; Geography","score_opus":0.02787907850148045,"score_gpt":0.22276001014177094,"score_spread":0.1948809316402905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381735259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70939785,0.02545901,0.0545125,0.00018758766,0.061132323,0.010304723,0.03086201,0.0027009458,0.10544304],"genre_scores_gemma":[0.90991884,0.051721774,0.000046523102,0.000076888,0.00026129774,0.000041158633,0.0027058895,0.00023381738,0.034993786],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833864,0.000027937194,0.000511458,0.0004355017,0.00040656613,0.00027988103],"domain_scores_gemma":[0.9991613,0.00012579304,0.000112533984,0.000463056,0.000010794847,0.00012651732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033460592,0.00036099213,0.00038447342,0.00018891577,0.00009398743,0.000020848263,0.0002477828,0.00032611427,0.00015129666],"category_scores_gemma":[0.00003124065,0.0003649056,0.00007738433,0.000069411406,0.00022548695,0.00011577269,0.00022141602,0.00038398337,0.0005528485],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091355195,0.0008636964,0.027351307,0.004143651,0.0029706527,0.00066903955,0.0044845743,0.038365103,0.023472868,0.005167558,0.033709154,0.8578888],"study_design_scores_gemma":[0.0007351194,0.0018407386,0.14335789,0.0025515482,0.0005209424,0.00010210145,0.00018959865,0.036818344,0.13179329,0.005286432,0.67213815,0.004665849],"about_ca_topic_score_codex":0.00019188058,"about_ca_topic_score_gemma":0.00063966366,"teacher_disagreement_score":0.85322297,"about_ca_system_score_codex":0.00006269029,"about_ca_system_score_gemma":0.000008569628,"threshold_uncertainty_score":0.9998803},"labels":[],"label_agreement":null},{"id":"W4382119126","doi":"10.1109/jsyst.2023.3286375","title":"A Generalizable Deep Neural Network Method for Detecting Attacks in Industrial Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Guelph","funders":"","keywords":"Computer science; Cyber-physical system; Robustness (evolution); Artificial neural network; Electric power system; Artificial intelligence; Data mining; Machine learning; Deep learning; Regularization (linguistics); Data modeling; Power (physics); Database","score_opus":0.04387600120949124,"score_gpt":0.2925961545763883,"score_spread":0.24872015336689707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382119126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8609797,0.0012939291,0.108281225,0.000030737046,0.028188242,0.0007231822,0.00001055823,0.0003381063,0.00015434818],"genre_scores_gemma":[0.9846373,0.000029094623,0.00036379969,0.000008396613,0.014700553,0.00010550806,0.0000027743188,0.000062451996,0.00009012021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976578,0.00030146597,0.00063635426,0.00022845024,0.0003398959,0.00083604694],"domain_scores_gemma":[0.9989939,0.0004287393,0.00013213858,0.0001803055,0.00007023248,0.00019471259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016619673,0.00023868193,0.0005115922,0.0002338022,0.00027851504,0.0002743602,0.0002849291,0.00023145226,0.0000017011924],"category_scores_gemma":[0.00008777426,0.00021463471,0.000168857,0.00079863914,0.000019277242,0.0002219669,0.000024424024,0.0007738718,0.000022628286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018905599,0.000008754886,0.00071458495,0.000119027114,0.00005040714,0.000075452226,0.000594379,0.99027056,0.001664122,0.000037340324,0.0056569404,0.0007895143],"study_design_scores_gemma":[0.00083440257,0.00006412019,0.00009034248,0.0002448873,0.000020297555,0.0005217922,0.00035863442,0.993391,0.00019618859,0.00004482413,0.0039813505,0.00025219662],"about_ca_topic_score_codex":0.00014044296,"about_ca_topic_score_gemma":0.00005867989,"teacher_disagreement_score":0.12365763,"about_ca_system_score_codex":0.0001731676,"about_ca_system_score_gemma":0.000038342245,"threshold_uncertainty_score":0.8752549},"labels":[],"label_agreement":null},{"id":"W4383552202","doi":"10.3390/en16135206","title":"Review of Cyberattack Implementation, Detection, and Mitigation Methods in Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cyber-physical system; Computer security; Critical infrastructure; Computer science; Risk analysis (engineering); Reliability (semiconductor); Cyber-attack; Component (thermodynamics); Critical infrastructure protection; Business","score_opus":0.012467314426526974,"score_gpt":0.33674303414977175,"score_spread":0.32427571972324476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383552202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98271084,0.01570897,0.0007413034,0.000045934572,0.0003409163,0.00012193144,0.000003501758,0.00012118435,0.0002054107],"genre_scores_gemma":[0.9811714,0.018120548,0.00050871127,0.000020939011,0.00008123268,0.00005463708,0.000010371375,0.000009934403,0.000022210354],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955237,0.00005946593,0.00016531306,0.00007405071,0.00006435133,0.00008447832],"domain_scores_gemma":[0.99978226,0.00008718967,0.000020384277,0.00007027857,0.000023285236,0.000016572407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203095,0.000055105178,0.00012554112,0.00007268083,0.000021577804,0.000009168568,0.0000350033,0.000020391806,0.0000036639044],"category_scores_gemma":[0.000027931716,0.00005155497,0.000018088149,0.00036634857,0.00002365355,0.00008660923,0.000013297892,0.00004385808,0.0000034731036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007643949,0.000045619396,0.0050683515,0.027346035,0.00013738133,0.0000108273225,0.009861478,0.404384,0.40851808,0.009004463,0.015536658,0.12007949],"study_design_scores_gemma":[0.0009023045,0.00012314602,0.10282104,0.0065239924,0.000077501296,0.000025529354,0.0050461013,0.1932705,0.63785726,0.001476076,0.051103454,0.0007731206],"about_ca_topic_score_codex":0.00006622378,"about_ca_topic_score_gemma":0.000047277717,"teacher_disagreement_score":0.22933915,"about_ca_system_score_codex":0.0000135348055,"about_ca_system_score_gemma":0.0000053737863,"threshold_uncertainty_score":0.21023507},"labels":[],"label_agreement":null},{"id":"W4384694727","doi":"10.3390/fi15070244","title":"Self-Healing in Cyber–Physical Systems Using Machine Learning: A Critical Analysis of Theories and Tools","year":2023,"lang":"en","type":"article","venue":"Future Internet","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Zayed University; King Khalid University; Trent University; Nottingham Trent University","keywords":"Cyber-physical system; Computer science; Computer security; Process (computing); Electric power system; Smart grid; Risk analysis (engineering); Power (physics); Engineering","score_opus":0.010637869005117533,"score_gpt":0.2562307598265944,"score_spread":0.24559289082147684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384694727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772424,0.000804333,0.000545458,0.00003774549,0.0005000812,0.000055021315,0.000014804486,0.00016306319,0.00015523857],"genre_scores_gemma":[0.9994683,0.000080141566,0.0001231153,0.0000046132936,0.00027931927,0.000003893576,0.000014655623,0.000011655734,0.0000143069265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993256,0.000054096843,0.00018289426,0.00013759956,0.00012229319,0.00017752028],"domain_scores_gemma":[0.9995807,0.0002484887,0.000017382725,0.000089291236,0.000020864558,0.000043293767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016382348,0.00010129511,0.00028503328,0.000258805,0.000020198433,0.00005449607,0.00008634306,0.0000723579,0.0000059293666],"category_scores_gemma":[0.00007486047,0.00008775717,0.00006029755,0.0007272515,0.000045903806,0.00011021102,0.00004497602,0.0002395082,0.0000034397003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080893835,0.00015124392,0.09837864,0.0020386695,0.0016397395,0.0002017917,0.05748623,0.7423924,0.009484378,0.08713301,0.00020427955,0.00080870744],"study_design_scores_gemma":[0.000076009055,0.000022119686,0.004920127,0.00006193056,0.00010745005,0.000005418868,0.001074424,0.99210787,0.00042290209,0.00007060712,0.001032601,0.00009856139],"about_ca_topic_score_codex":0.00013131379,"about_ca_topic_score_gemma":0.00010688074,"teacher_disagreement_score":0.24971543,"about_ca_system_score_codex":0.000024039262,"about_ca_system_score_gemma":0.0000054766197,"threshold_uncertainty_score":0.35786337},"labels":[],"label_agreement":null},{"id":"W4384787505","doi":"10.1109/access.2023.3296562","title":"Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"King Saud University","keywords":"Computer science; Denial-of-service attack; Embedding; Deep learning; False alarm; Artificial neural network; Detector; Real-time computing; Artificial intelligence; Grid; Object detection; Pattern recognition (psychology); Telecommunications","score_opus":0.01973945654576707,"score_gpt":0.27635512125606215,"score_spread":0.25661566471029507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384787505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8860912,0.00007551569,0.11256873,0.0000031241384,0.0010010609,0.00009579234,0.000013882816,0.00014000853,0.000010739079],"genre_scores_gemma":[0.9996606,0.000018946523,0.000029234587,0.0000028644556,0.00025045703,0.000005536357,0.00000983814,0.000020902708,0.0000015824595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999257,0.000018125747,0.00020165918,0.0001263866,0.0001578147,0.00023897928],"domain_scores_gemma":[0.9996431,0.00005836831,0.00006445674,0.00014212902,0.000047047783,0.00004493962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007239062,0.000111798916,0.0001853101,0.00009632645,0.00006003693,0.0000267004,0.00020702706,0.000079410296,0.000009847328],"category_scores_gemma":[0.000014927473,0.00010077206,0.00004466667,0.0007355967,0.00004928213,0.00026371176,0.000032137104,0.00014336455,0.0000016993779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032887205,0.000008119265,0.004155042,0.00009656666,0.000026323873,0.000008553174,0.00012983792,0.9510628,0.043799695,0.0000019870274,0.000019690557,0.0006584899],"study_design_scores_gemma":[0.000188184,0.000025034537,0.008960406,0.000042189535,0.0000186662,0.0000073766996,0.00002247856,0.85375315,0.13686804,0.0000026097575,0.000010176091,0.00010168101],"about_ca_topic_score_codex":0.000050207298,"about_ca_topic_score_gemma":0.00009208725,"teacher_disagreement_score":0.11356949,"about_ca_system_score_codex":0.00002893724,"about_ca_system_score_gemma":0.0000066000707,"threshold_uncertainty_score":0.4109365},"labels":[],"label_agreement":null},{"id":"W4385259445","doi":"10.1109/med59994.2023.10185827","title":"Robust Covert Attack Strategies and Their Detection for Switched Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Covert; Cyber-physical system; Covert channel; Computer security; SIGNAL (programming language); Channel (broadcasting); Mode (computer interface); Computer network; Real-time computing","score_opus":0.029456438212707627,"score_gpt":0.23327268636757173,"score_spread":0.2038162481548641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385259445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584692,0.00010527623,0.03894576,0.000023028666,0.0005634771,0.00020016197,0.0000063957723,0.00056007504,0.0011266413],"genre_scores_gemma":[0.9995057,0.000041166317,0.000020366371,0.000004679932,0.00022029341,0.000039782208,0.0000042473603,0.000013379992,0.00015041043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995983,0.000006332334,0.00007498459,0.00011116424,0.000050773,0.00015844648],"domain_scores_gemma":[0.9997525,0.00010581079,0.000007300423,0.000081099555,0.000016523987,0.000036729314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059846516,0.00008865044,0.000110052744,0.00003718012,0.00006450418,0.00009510073,0.00004729264,0.000051187308,0.0000015579079],"category_scores_gemma":[0.000007907454,0.000065726184,0.000031281754,0.0001361816,0.000021146114,0.00018012445,0.000013056418,0.000060710743,0.000021331321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017959339,0.000018645302,0.00007511615,0.00049445516,0.000065207496,0.0000022881434,0.0019265079,0.9092505,0.07958722,0.0031041275,0.0030297092,0.00242827],"study_design_scores_gemma":[0.00016227826,0.000041290255,0.0008891694,0.000015501913,0.0000047080175,0.000004832004,0.0036300553,0.98083603,0.011708279,0.00018294094,0.0024028826,0.0001220014],"about_ca_topic_score_codex":0.00002630435,"about_ca_topic_score_gemma":0.000076733944,"teacher_disagreement_score":0.071585566,"about_ca_system_score_codex":0.00001364675,"about_ca_system_score_gemma":0.000007161447,"threshold_uncertainty_score":0.2680236},"labels":[],"label_agreement":null},{"id":"W4385423342","doi":"10.3390/electronics12153283","title":"A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems","year":2023,"lang":"en","type":"review","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"H2020 European Research Council; Interreg; Ministerio de Ciencia e Innovación","keywords":"Cyber-physical system; Computer security; Vulnerability (computing); Critical infrastructure; Computer science; Industrial control system; Smart grid; The Internet; Anomaly detection; Vulnerability assessment; Field (mathematics); Risk analysis (engineering); Systems engineering; Engineering; Control (management); Business; Electrical engineering","score_opus":0.026766002947376695,"score_gpt":0.308470876654836,"score_spread":0.28170487370745934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385423342","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005342322,0.99632865,0.0010309886,0.000005030518,0.0005567723,0.0013855872,0.000024185001,0.00033181286,0.000283559],"genre_scores_gemma":[0.00010270679,0.9989608,0.000025832198,0.000013986385,0.00035210382,0.00036684348,0.000012913608,0.00009749871,0.00006729799],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982022,0.00008844029,0.0005533724,0.00035444816,0.00026634568,0.0005351695],"domain_scores_gemma":[0.99908924,0.00013766921,0.00009521201,0.00048132578,0.00006147517,0.00013508469],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026396295,0.0004087029,0.0015651083,0.00022547509,0.000046607223,0.000047796686,0.00039975077,0.00019755139,0.0000027236224],"category_scores_gemma":[0.00005887891,0.00035149022,0.00037111886,0.0013983285,0.000015795535,0.000072599054,0.00006111553,0.0005119803,0.00033386945],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022932502,0.00001072631,2.0135262e-8,0.26756218,0.00020298296,0.0000070768183,0.00008003359,0.0018016249,0.000053535965,0.00029785224,0.00088340713,0.72909826],"study_design_scores_gemma":[0.000024436027,0.00022715756,3.689385e-7,0.08106709,0.00030345176,0.000030939533,0.000009574062,0.00018362439,0.00008655503,0.000050500945,0.91764927,0.00036704558],"about_ca_topic_score_codex":0.000013220305,"about_ca_topic_score_gemma":0.00018086792,"teacher_disagreement_score":0.91676587,"about_ca_system_score_codex":0.00032312697,"about_ca_system_score_gemma":0.00026169795,"threshold_uncertainty_score":0.9998937},"labels":[],"label_agreement":null},{"id":"W4385452087","doi":"10.23919/ecc57647.2023.10178372","title":"Cyber-Attack Detection by Using Event-Based Control in Multi-Agent Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Event (particle physics); Computer security; Covert; Cyber-attack; Control (management); Artificial intelligence","score_opus":0.02230263346432543,"score_gpt":0.26534273600276365,"score_spread":0.24304010253843822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385452087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9158341,0.0001107912,0.08231442,0.00002125557,0.0008970604,0.00027900716,0.000012414213,0.0004423717,0.00008855965],"genre_scores_gemma":[0.99968183,0.0000059180993,0.000028058554,0.000026295367,0.00010401739,0.000035065055,0.0000065525333,0.000024227716,0.00008801377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990686,0.000050720842,0.00020275745,0.00018496576,0.00017843294,0.00031450955],"domain_scores_gemma":[0.9996558,0.00008500688,0.000019289353,0.00014631807,0.00001825754,0.00007535167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001423836,0.0001415516,0.00018842188,0.000121226425,0.00005843964,0.000037679965,0.00009172438,0.00008703264,0.0000072964476],"category_scores_gemma":[0.00001831954,0.00013166372,0.000063703665,0.0004178662,0.000023446326,0.000095478215,0.000009404568,0.00016748814,0.00015616397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000581122,0.000048218004,0.00057026016,0.000055331133,0.000012310359,0.000011630404,0.0001189475,0.87966716,0.118800625,0.000007656349,0.0004203888,0.00028162898],"study_design_scores_gemma":[0.0007873727,0.000019232193,0.0009929946,0.00003667485,0.000007757472,0.0000020804146,0.000136814,0.9797037,0.017308053,0.0000010437958,0.0008407153,0.00016356488],"about_ca_topic_score_codex":0.00032778058,"about_ca_topic_score_gemma":0.00023070263,"teacher_disagreement_score":0.10149258,"about_ca_system_score_codex":0.00013322738,"about_ca_system_score_gemma":0.000011798211,"threshold_uncertainty_score":0.53690904},"labels":[],"label_agreement":null},{"id":"W4385517031","doi":"10.1109/eeeic/icpseurope57605.2023.10194883","title":"Detection and Localization of Stealth False Data Injection Attacks in Active Power Distribution Systems Using an Ensemble of Deep CNNs","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial intelligence; Distribution (mathematics); Pattern recognition (psychology); Power (physics); Physics; Mathematics","score_opus":0.029290420124486752,"score_gpt":0.2757265374704314,"score_spread":0.24643611734594467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385517031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7098248,0.00004925331,0.28968614,8.1257866e-7,0.00021284651,0.00011207926,0.00003236684,0.00005284001,0.000028858376],"genre_scores_gemma":[0.9997788,0.000052302625,0.000018335337,8.018093e-7,0.000018556857,0.000002017541,0.00012019094,0.0000073920028,0.0000016029269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999409,0.000046624915,0.00020483624,0.0001337088,0.00010516508,0.00010064548],"domain_scores_gemma":[0.9996775,0.000029690087,0.000048472102,0.0001739436,0.000042501215,0.000027908169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021998945,0.000061868894,0.000116815674,0.00011497412,0.000034784964,0.000009395191,0.000057283272,0.00007791997,0.0000013885467],"category_scores_gemma":[0.000035808822,0.00006192951,0.000007688843,0.00049329485,0.000025372061,0.00037876362,0.00003371506,0.00006321127,6.223187e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028892713,0.00003462344,0.0050395676,0.00027503667,0.000011857713,8.631721e-7,0.0009261318,0.96007204,0.031102272,0.000108339904,0.000009926301,0.0023904215],"study_design_scores_gemma":[0.00014066449,0.00005968596,0.0133315455,0.00004716505,0.0000064589203,0.0000053800964,0.0020024467,0.96669537,0.017611738,0.000019137073,0.00001894554,0.00006144255],"about_ca_topic_score_codex":0.0009081107,"about_ca_topic_score_gemma":0.0017654285,"teacher_disagreement_score":0.28995398,"about_ca_system_score_codex":0.0000638136,"about_ca_system_score_gemma":0.000010586829,"threshold_uncertainty_score":0.25254118},"labels":[],"label_agreement":null},{"id":"W4385583293","doi":"10.1016/j.comnet.2023.109956","title":"Exploring the potential, limitations, and future directions of wireless technologies in smart grid networks: A comparative analysis","year":2023,"lang":"en","type":"article","venue":"Computer Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Smart grid; Computer science; Smart meter; Grid; Network packet; Wireless; Electricity; Telecommunications; Computer network; Electrical engineering","score_opus":0.035891847079305296,"score_gpt":0.2238176784431304,"score_spread":0.18792583136382512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385583293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8685762,0.0067900205,0.12039941,0.0003732136,0.0027785727,0.00022325935,0.000003901934,0.000787996,0.00006740603],"genre_scores_gemma":[0.9771543,0.021980258,0.00030991124,0.0000079335505,0.0004689816,0.000052964107,0.000015969707,0.000007215169,0.0000024691792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992892,0.000045057965,0.00020831476,0.00016171734,0.000082718136,0.0002129482],"domain_scores_gemma":[0.99949425,0.00022207816,0.000031757492,0.00020173454,0.000028261955,0.00002192783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013426547,0.00011904392,0.0002415473,0.00028838892,0.00012560334,0.000040263407,0.00017734291,0.00006913625,7.513199e-7],"category_scores_gemma":[0.0000023462676,0.00009397031,0.00006921293,0.0026125514,0.00010854971,0.00013610948,0.00010145988,0.00028421183,0.0000013047833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000272868,0.000008934566,0.0020011722,0.00000907869,0.0001436279,0.0000044262983,0.0009335079,0.9589151,0.0000025998902,0.0001727333,0.0009203307,0.036885723],"study_design_scores_gemma":[0.000071258175,0.00001179789,0.086412914,0.00003175679,0.000048781792,0.000001973026,0.0011753525,0.90972465,0.0000093075005,0.000027091404,0.0023905993,0.00009450516],"about_ca_topic_score_codex":0.000010457816,"about_ca_topic_score_gemma":0.00022225433,"teacher_disagreement_score":0.1200895,"about_ca_system_score_codex":0.000013870287,"about_ca_system_score_gemma":0.0000035875887,"threshold_uncertainty_score":0.38319978},"labels":[],"label_agreement":null},{"id":"W4385588175","doi":"10.1007/978-3-030-97940-9_81","title":"Reliability Analysis of Smart Grids Using Formal Methods","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Computer science; Reliability block diagram; Renewable energy; Wind power; Smart grid; Electric power system; Fault tree analysis; Power (physics); Engineering; Electrical engineering","score_opus":0.03459852696066998,"score_gpt":0.2973736411667987,"score_spread":0.26277511420612876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385588175","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058010467,0.00047713474,0.18262927,0.0000119471415,0.0025182029,0.00033560809,0.00015902249,0.00090585346,0.8071619],"genre_scores_gemma":[0.06460762,0.002733928,0.2092964,0.00012071474,0.0011521237,0.000027291493,0.00035814653,0.0006286198,0.7210752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870807,0.00001973194,0.0005077992,0.00026270543,0.00024799313,0.0002537147],"domain_scores_gemma":[0.9990255,0.00022652626,0.00007062355,0.0005211703,0.000080489524,0.00007564627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066520565,0.00025822115,0.0007073896,0.00055588374,0.000046832687,0.000012558247,0.00021921036,0.00038192092,0.00051563844],"category_scores_gemma":[0.00004405045,0.00023142369,0.00052322255,0.00031672706,0.000103552855,0.00011173149,0.000108435815,0.0003399533,0.000025735213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000341221,0.000026263922,0.00038987567,0.0012889203,0.0066422755,0.000025244988,0.0006560316,0.8823399,0.0016614908,0.09447572,0.0014159638,0.011044188],"study_design_scores_gemma":[0.00013852972,0.00005199701,0.0016872665,0.00014032444,0.0037622491,0.000003861966,0.000043009728,0.9492208,0.0022680785,0.0054750727,0.036348533,0.0008603261],"about_ca_topic_score_codex":0.00006884531,"about_ca_topic_score_gemma":0.000108449596,"teacher_disagreement_score":0.08900064,"about_ca_system_score_codex":0.00006946767,"about_ca_system_score_gemma":0.000027413738,"threshold_uncertainty_score":0.94371843},"labels":[],"label_agreement":null},{"id":"W4385729689","doi":"10.1109/itc-egypt58155.2023.10206242","title":"Cyber Physical Security of Energy Hubs Using Feasibility Area Estimation","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Phasor; Software deployment; Electric power system; Computer science; Node (physics); Power (physics); Energy (signal processing); Variable (mathematics); Cyber-physical system; Pipeline (software); Computer security; Real-time computing; Engineering; Operating system","score_opus":0.02447260233809865,"score_gpt":0.26184552028804126,"score_spread":0.2373729179499426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385729689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99099493,0.000020632378,0.0066830767,0.000011629661,0.00019194045,0.00004277938,0.0000056030963,0.00029717025,0.0017522465],"genre_scores_gemma":[0.99962485,0.000008408889,0.0002546019,0.0000064068913,0.00005730856,0.0000022137872,0.000008690994,0.000008450758,0.000029044524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994635,0.000014678783,0.00012111829,0.00011407282,0.00014118181,0.00014547729],"domain_scores_gemma":[0.9996984,0.00005610584,0.0000142644585,0.0001654401,0.00002496383,0.000040811996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007423295,0.00007836281,0.00012473817,0.000051857623,0.000032652253,0.00000815457,0.00007504177,0.00004682505,0.00002941672],"category_scores_gemma":[0.000027466069,0.0000703541,0.000053667198,0.00034188016,0.0000454313,0.00011165105,0.000029794224,0.00006272282,0.000014256265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015506046,0.00017808829,0.0065253656,0.00029409936,0.00004956771,0.000010026721,0.004884591,0.92861533,0.048489194,0.0069673522,0.0021772936,0.0017935896],"study_design_scores_gemma":[0.000079924015,0.000008323829,0.004540795,0.000013000334,0.000005910923,0.000001520621,0.00004940621,0.96375996,0.028141199,0.0032020188,0.00011522099,0.00008272173],"about_ca_topic_score_codex":0.00006676148,"about_ca_topic_score_gemma":0.000038049897,"teacher_disagreement_score":0.035144635,"about_ca_system_score_codex":0.000029353963,"about_ca_system_score_gemma":0.0000103754155,"threshold_uncertainty_score":0.2868957},"labels":[],"label_agreement":null},{"id":"W4385889924","doi":"10.48550/arxiv.2308.07526","title":"Protecting the Future Grid: An Electric Vehicle Robust Mitigation Scheme Against Load Altering Attacks on Power Grids","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Grid; Controller (irrigation); Scheme (mathematics); Electric vehicle; Computer science; Software deployment; Control (management); Power (physics); Power grid; Control theory (sociology); Topology (electrical circuits); Engineering; Electrical engineering; Mathematics","score_opus":0.04131395995929358,"score_gpt":0.18003375971803995,"score_spread":0.13871979975874638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385889924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914764,0.00012929195,0.0036748848,0.00009703874,0.0023542203,0.00054568757,0.000016784821,0.00086603285,0.0008396392],"genre_scores_gemma":[0.99836427,0.00037819534,0.00005441643,0.000057311518,0.00087837584,0.000005911774,0.000031635824,0.000069235335,0.0001606256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982535,0.00015048236,0.00020885997,0.0007196027,0.00017765707,0.00048985257],"domain_scores_gemma":[0.998787,0.00010451496,0.000105885774,0.00076161174,0.00010262589,0.00013836077],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044277674,0.00037922672,0.0002544851,0.00021310245,0.0005060646,0.00011788024,0.0007516634,0.0004111585,0.000015333955],"category_scores_gemma":[0.000052846397,0.00036450574,0.00016475281,0.00079872814,0.00006366627,0.0002510804,0.0002950908,0.0021876944,0.00011241672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027363265,0.000030097153,0.0008390327,0.0001369934,0.00006981344,0.00010971785,0.000656589,0.99443924,0.0026684003,0.00051768863,0.0002834387,0.00022161577],"study_design_scores_gemma":[0.00035964174,0.00009032078,0.0062215724,0.00029269414,0.00004248009,0.000004304295,0.0010257352,0.98633814,0.0033558917,0.0005264266,0.0010484414,0.000694377],"about_ca_topic_score_codex":0.000044279346,"about_ca_topic_score_gemma":0.00012128436,"teacher_disagreement_score":0.0081011355,"about_ca_system_score_codex":0.0004406939,"about_ca_system_score_gemma":0.0000923296,"threshold_uncertainty_score":0.9998807},"labels":[],"label_agreement":null},{"id":"W4386028207","doi":"10.1007/s11227-023-05555-y","title":"Correction to: Using a privacy‑enhanced authentication process to secure IoT‑based smart grid infrastructures","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Vanier College","funders":"","keywords":"Computer science; Internet of Things; Authentication (law); Computer security; Smart grid; Process (computing); Grid; Operating system; Electrical engineering","score_opus":0.011728792749411245,"score_gpt":0.2616277981462245,"score_spread":0.24989900539681326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386028207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92482984,0.000038472073,0.07105159,0.00020386509,0.0035902055,0.00014517015,0.0000015673601,0.0001093234,0.000029961642],"genre_scores_gemma":[0.9974718,0.0000046159266,0.0016727864,0.00010570064,0.0007157143,0.0000010339437,0.0000013358266,0.00002183496,0.00000515705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896663,0.00005307219,0.00034045865,0.00008962908,0.00029591838,0.00025429906],"domain_scores_gemma":[0.9993697,0.0001767136,0.000062122584,0.00013787298,0.00014697839,0.00010665551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056923117,0.00012484568,0.00016314368,0.00024594253,0.00020157732,0.00004806529,0.0003147151,0.000044179244,0.000010722353],"category_scores_gemma":[0.00023678537,0.000092513954,0.000056168992,0.00088828185,0.000020305048,0.00010856928,0.0000457618,0.00032088117,0.000017161086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021182957,0.0000060183866,0.00039505918,0.0000439788,0.000014393843,0.0000023563996,0.011709256,0.8830893,0.1017277,0.0000018614056,0.0013987174,0.0015901817],"study_design_scores_gemma":[0.00021630172,0.00009209684,0.020952018,0.0005632322,0.00003790377,0.000097754695,0.0018308389,0.895109,0.080533415,0.00012135565,0.0002571807,0.00018887776],"about_ca_topic_score_codex":0.000014506039,"about_ca_topic_score_gemma":0.000009660536,"teacher_disagreement_score":0.072641976,"about_ca_system_score_codex":0.000080957965,"about_ca_system_score_gemma":0.000052948442,"threshold_uncertainty_score":0.37726095},"labels":[],"label_agreement":null},{"id":"W4386051386","doi":"10.1002/rnc.6928","title":"A neural fictitious self‐play anti‐jamming strategy for secondary frequency control in microgrids with imperfect observations","year":2023,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; Natural Science Foundation of Beijing Municipality","keywords":"Microgrid; Computer science; Jamming; Controllability; Stochastic game; Nash equilibrium; Imperfect; Game theory; Control (management); Mathematical optimization; Artificial intelligence; Mathematics","score_opus":0.012462131632940921,"score_gpt":0.23146437813836412,"score_spread":0.21900224650542321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386051386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925134,0.000608097,0.005012912,0.00066306104,0.00073591876,0.00020495142,0.00015983098,0.0000581143,0.000043676075],"genre_scores_gemma":[0.997083,0.00022013218,0.0018504629,0.00013932434,0.00064702914,0.000011869009,0.000019090214,0.000018845423,0.000010222967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990954,0.000026033751,0.00037154954,0.0001067036,0.00019719364,0.00020315584],"domain_scores_gemma":[0.9992503,0.00027388957,0.000096892276,0.0000546341,0.00025623327,0.000068058405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027067188,0.00013115293,0.00023717276,0.00026264702,0.00005408105,0.000084293526,0.00018891426,0.000067141795,0.000010695203],"category_scores_gemma":[0.00004523861,0.00010728226,0.0000828748,0.00015144567,0.000035260942,0.00032752845,0.000008248209,0.00028026875,0.0000016492532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004921474,0.0001672838,0.074707136,0.00010882548,0.00090504106,0.00068684586,0.0011254553,0.88515496,0.024822328,0.00019734018,0.0011160582,0.0105165895],"study_design_scores_gemma":[0.008664926,0.0004579751,0.065699264,0.00013570576,0.00006799975,0.00045921333,0.00024081126,0.9220766,0.00023108198,0.0000836394,0.0016507134,0.00023207506],"about_ca_topic_score_codex":0.000015668593,"about_ca_topic_score_gemma":0.00010561914,"teacher_disagreement_score":0.03692165,"about_ca_system_score_codex":0.00004461522,"about_ca_system_score_gemma":0.00008764863,"threshold_uncertainty_score":0.43748438},"labels":[],"label_agreement":null},{"id":"W4386108495","doi":"10.1109/tifs.2023.3305916","title":"A Smart Digital Twin Enabled Security Framework for Vehicle-to-Grid Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Computer science; Cyber-physical system; Smart grid; Distributed computing; Reinforcement learning; Electric power system; Embedded system; Grid; Industrial control system; Computer security; Real-time computing; Control (management); Artificial intelligence; Operating system; Engineering; Power (physics)","score_opus":0.008210083045696667,"score_gpt":0.21926560237596582,"score_spread":0.21105551933026914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386108495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55388945,0.00001861507,0.44001237,0.00016829351,0.002778415,0.00082007266,0.0010492635,0.0007256217,0.0005379282],"genre_scores_gemma":[0.9991605,0.000060212566,0.00018111421,0.00010790091,0.00020205927,0.00017441768,0.000075148404,0.000022359227,0.000016279639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987173,0.000014203576,0.0003751841,0.00017981969,0.0003039905,0.0004094808],"domain_scores_gemma":[0.9990984,0.000259373,0.00004609997,0.00024544948,0.00012124304,0.00022939598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016817234,0.0002443751,0.000278475,0.00025833707,0.00032382732,0.00032377322,0.00013577788,0.00019284319,0.0000056048752],"category_scores_gemma":[0.000023559558,0.00023980928,0.0001386335,0.00053304946,0.00008634894,0.001019263,0.0000043391683,0.00039098188,0.00020393406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060706434,0.000383251,0.00016673523,0.0030291127,0.0005525512,0.000013833937,0.08618091,0.74120575,0.0002728034,0.103153825,0.0286198,0.035814375],"study_design_scores_gemma":[0.00071681244,0.00023153229,0.000142118,0.00013296312,0.000038658196,0.000012512823,0.0014995075,0.94253486,0.0017034984,0.016702317,0.035750043,0.00053519465],"about_ca_topic_score_codex":0.000017753693,"about_ca_topic_score_gemma":0.000012068138,"teacher_disagreement_score":0.44527107,"about_ca_system_score_codex":0.000061633815,"about_ca_system_score_gemma":0.000025046418,"threshold_uncertainty_score":0.97791386},"labels":[],"label_agreement":null},{"id":"W4386203897","doi":"10.1007/s11071-023-08840-w","title":"Resilient neural network-based control of nonlinear heterogeneous multi-agent systems: a cyber-physical system approach","year":2023,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Artificial neural network; Lyapunov stability; Control theory (sociology); Computer science; Platoon; Vulnerability (computing); Lyapunov function; Stability (learning theory); Lipschitz continuity; Cyber-physical system; Adaptive control; Multi-agent system; Control engineering; Control (management); Engineering; Computer security; Artificial intelligence; Mathematics","score_opus":0.011350914739407048,"score_gpt":0.2227348155217233,"score_spread":0.21138390078231625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386203897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.923723,0.00048049475,0.07090749,0.000026974163,0.0019565432,0.00094546954,0.0005437708,0.0012438509,0.00017241557],"genre_scores_gemma":[0.99616534,0.000020166,0.002567396,0.000018390996,0.00074327027,0.00006602487,0.00028117982,0.00009239755,0.000045864916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775934,0.000121864956,0.0005726661,0.0003961903,0.0004824882,0.0006674712],"domain_scores_gemma":[0.9988516,0.0001661105,0.00010726423,0.0005687512,0.00011546423,0.00019079841],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002914224,0.0003532105,0.0006172235,0.00015266903,0.00011509956,0.00004597589,0.00039667555,0.00020623486,0.0000010935177],"category_scores_gemma":[0.000027445221,0.00032767025,0.00025678877,0.00065642415,0.00012573988,0.00005992813,0.00005155776,0.00036607613,0.000059291688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039835617,0.00015185833,0.0008507807,0.0008291001,0.00008036779,0.00006596276,0.0001257465,0.9972721,0.00020511764,0.00012658502,0.00006080915,0.00019174263],"study_design_scores_gemma":[0.000996512,0.00008788701,0.00027601043,0.0001288748,0.000060291815,0.000032629247,0.00018809462,0.9975198,0.00013783366,8.163979e-7,0.0002644261,0.00030684532],"about_ca_topic_score_codex":0.000045042983,"about_ca_topic_score_gemma":0.000044958782,"teacher_disagreement_score":0.072442316,"about_ca_system_score_codex":0.00021440018,"about_ca_system_score_gemma":0.000052274412,"threshold_uncertainty_score":0.9999175},"labels":[],"label_agreement":null},{"id":"W4386206210","doi":"10.1016/j.apenergy.2023.121769","title":"Protecting the future grid: An electric vehicle robust mitigation scheme against load altering attacks on power grids","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Concordia University","keywords":"Grid; Controller (irrigation); Scheme (mathematics); Electric vehicle; Software deployment; Computer science; Smart grid; Control (management); Power (physics); Control theory (sociology); Engineering; Electrical engineering; Mathematics","score_opus":0.007347032969811226,"score_gpt":0.1986788553304932,"score_spread":0.19133182236068197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386206210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912453,0.00013794116,0.00070115406,0.00015441881,0.00084755605,0.0001645482,0.000002433203,0.00085845165,0.0058881594],"genre_scores_gemma":[0.9981176,0.00013767325,0.000090740614,0.00022777046,0.0011741769,0.00013568558,0.000026301312,0.00005051433,0.0000395166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987672,0.00003412502,0.00018505602,0.00028146815,0.00029905525,0.00043307786],"domain_scores_gemma":[0.9994622,0.000065922686,0.000033914715,0.00033107275,0.00002578367,0.00008113402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000274551,0.00019911745,0.00013237959,0.000097625,0.00039961346,0.00007065256,0.00026246486,0.00013750364,0.000011926022],"category_scores_gemma":[0.000013994881,0.00016078778,0.00004709374,0.0008048235,0.00002703732,0.00010919321,0.00004253906,0.00046826215,0.000071012975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022217031,0.000029247984,0.00003755396,0.000037639213,0.0000338703,0.000011831107,0.001062869,0.6942792,0.2827833,0.00468551,0.0017864269,0.015230362],"study_design_scores_gemma":[0.00079495896,0.00017487614,0.004184873,0.00008207329,0.00001580602,0.000011013753,0.0018441518,0.5708986,0.34795827,0.0005025762,0.07255039,0.000982404],"about_ca_topic_score_codex":0.000017387896,"about_ca_topic_score_gemma":0.00005344463,"teacher_disagreement_score":0.12338058,"about_ca_system_score_codex":0.00009850374,"about_ca_system_score_gemma":0.000023344055,"threshold_uncertainty_score":0.6556735},"labels":[],"label_agreement":null},{"id":"W4386223270","doi":"10.3390/s23177464","title":"Ensemble Model Based on Hybrid Deep Learning for Intrusion Detection in Smart Grid Networks","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Computer science; Smart grid; Intrusion detection system; Reliability (semiconductor); Grid; Anomaly detection; Denial-of-service attack; Deep learning; SCADA; Resilience (materials science); Real-time computing; Distributed computing; Artificial intelligence; Computer security; Engineering; The Internet; Operating system","score_opus":0.008659955713557698,"score_gpt":0.20898226102517836,"score_spread":0.20032230531162065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386223270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.919231,0.000020719031,0.07893192,0.000033548346,0.00078903575,0.00019387215,0.0000014108192,0.00041229546,0.0003861795],"genre_scores_gemma":[0.9993927,0.000055837456,0.00018057678,0.000033849872,0.00018463723,0.000028948092,0.0000190258,0.000031216274,0.0000732026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925005,0.00002680882,0.0001389105,0.00017424779,0.00010851787,0.0003014628],"domain_scores_gemma":[0.9996591,0.0001502325,0.00001582576,0.000112437316,0.000015916155,0.0000464945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019549254,0.00011296277,0.00011504186,0.00018834828,0.00010268631,0.000017112674,0.000060723563,0.00007771196,0.0000036441616],"category_scores_gemma":[0.00007555941,0.000116929485,0.000052763207,0.00029913912,0.000013932149,0.000041537132,0.000012584594,0.00026319688,0.000033190532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003475974,0.000006541495,0.00012362562,0.000027817774,0.0000023399648,0.0000071903924,0.0001111817,0.9790819,0.0013475381,0.0000059424187,0.00012972948,0.019121379],"study_design_scores_gemma":[0.00028117545,0.000050063372,0.0007070171,0.00003457687,0.0000033718027,0.0000016244376,0.000043939104,0.9870069,0.011011257,0.00008805084,0.00063431915,0.00013767285],"about_ca_topic_score_codex":0.000011315955,"about_ca_topic_score_gemma":0.0001280665,"teacher_disagreement_score":0.08016169,"about_ca_system_score_codex":0.000056737044,"about_ca_system_score_gemma":0.000005391649,"threshold_uncertainty_score":0.4768246},"labels":[],"label_agreement":null},{"id":"W4386435322","doi":"10.1016/j.automatica.2023.111264","title":"Graph-theoretic approaches for analyzing the resilience of distributed control systems: A tutorial and survey","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Air Force Research Laboratory; National Science Foundation","keywords":"Computer science; Adversarial system; Robustness (evolution); Theoretical computer science; Distributed computing; Resilience (materials science); Graph; Complex network; Graph theory; Data science; Artificial intelligence; Mathematics","score_opus":0.01941589060554748,"score_gpt":0.22147048625309046,"score_spread":0.20205459564754297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386435322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93708116,0.00089967373,0.059671197,0.00008736698,0.00077403494,0.0007254737,0.00029831508,0.00039250377,0.00007028858],"genre_scores_gemma":[0.99971175,0.000052914493,0.00005500887,0.000001996531,0.000066944376,0.00007322145,0.000022428552,0.000010727031,0.0000050190865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992095,0.00009968414,0.00023959175,0.00012056537,0.00012384099,0.00020681808],"domain_scores_gemma":[0.99829894,0.0013862944,0.00004061431,0.00020203833,0.000032730804,0.000039362567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009208562,0.0000951439,0.00020732002,0.000059299946,0.00009857832,0.000039539904,0.00017137792,0.00005473624,0.00000131554],"category_scores_gemma":[0.00046756506,0.00006493408,0.000042650394,0.00043706587,0.000191051,0.000049492464,0.000020459573,0.00006620915,0.0000030505446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026490673,0.00012656336,0.04420846,0.006572206,0.0009449467,0.0000125611,0.008420106,0.75523865,0.003317105,0.16139382,0.01570234,0.0037983176],"study_design_scores_gemma":[0.00034775998,0.000031667056,0.04365711,0.000060857896,0.000036712263,0.0000025382212,0.0002449497,0.95411557,0.00015263936,0.0011494826,0.00010169891,0.00009904153],"about_ca_topic_score_codex":0.00002112145,"about_ca_topic_score_gemma":0.000011440716,"teacher_disagreement_score":0.19887687,"about_ca_system_score_codex":0.000009538267,"about_ca_system_score_gemma":0.000013544809,"threshold_uncertainty_score":0.2647935},"labels":[],"label_agreement":null},{"id":"W4386449577","doi":"10.34190/eckm.24.2.1551","title":"Digital innovation through cybersecurity learning factories","year":2023,"lang":"en","type":"article","venue":"European Conference on Knowledge Management","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Knowledge management; Computer science; Computer security; Knowledge sharing; Workforce; Engineering management; Engineering","score_opus":0.03516687841277428,"score_gpt":0.25248042860838016,"score_spread":0.2173135501956059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386449577","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07485985,0.000043423173,0.002055537,0.000051969295,0.00096203136,0.00015732601,0.0000060403813,0.0013987665,0.92046505],"genre_scores_gemma":[0.98891246,0.00025074207,0.000037401842,0.00002080435,0.00016614211,0.00000900282,0.00006257039,0.000038098362,0.010502797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896115,0.00005664162,0.00023012963,0.0002641333,0.00018425817,0.00030368599],"domain_scores_gemma":[0.9996047,0.000033253637,0.000030715706,0.00022685566,0.000066682405,0.000037792146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017072477,0.00019389793,0.00012506515,0.00020483692,0.00015618508,0.00021285386,0.00026825018,0.000028255035,0.00006561164],"category_scores_gemma":[0.000031247426,0.0001900948,0.00003705386,0.0009899985,0.00006269655,0.00026890103,0.00018151767,0.00026050425,0.005798064],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022653332,0.00015587559,0.0011471777,0.00056745927,0.00018872204,0.00026864884,0.015237336,0.008363311,0.00043065174,0.72762305,0.039758068,0.20623708],"study_design_scores_gemma":[0.00052120653,0.0001251412,0.01538055,0.0002530368,0.000016561102,0.0000019032735,0.004404285,0.014826302,0.0005599524,0.001617863,0.9616189,0.0006742889],"about_ca_topic_score_codex":3.8013758e-7,"about_ca_topic_score_gemma":0.0000018372994,"teacher_disagreement_score":0.9218608,"about_ca_system_score_codex":0.00004376795,"about_ca_system_score_gemma":0.000006574941,"threshold_uncertainty_score":0.99497604},"labels":[],"label_agreement":null},{"id":"W4386580649","doi":"10.1016/j.iot.2023.100926","title":"A two-stage cyber attack detection and classification system for smart grids","year":2023,"lang":"en","type":"article","venue":"Internet of Things","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Intrusion detection system; Computer science; Stage (stratigraphy); Internet of Things; Popularity; Computer security; Smart grid; Class (philosophy); Cyber-attack; Artificial intelligence; Real-time computing; Engineering","score_opus":0.022478547742231646,"score_gpt":0.2544230506276728,"score_spread":0.23194450288544113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386580649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98644215,0.0000546647,0.010262155,0.00002994374,0.00091097876,0.00016971931,0.000005922773,0.00036125636,0.0017631823],"genre_scores_gemma":[0.99910355,0.000013316002,0.00017424657,0.000010363017,0.000054902266,0.000028995892,0.000005014498,0.000014420447,0.0005952054],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952817,0.000008441845,0.0001544874,0.000114449824,0.00008091813,0.00011352422],"domain_scores_gemma":[0.99975455,0.000059417005,0.00003292283,0.0000954379,0.00002870476,0.00002895644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001504645,0.00007049863,0.00009924307,0.000082508974,0.00002214211,0.000023277758,0.000083658044,0.00005589898,0.000003016026],"category_scores_gemma":[0.000025347139,0.00006762702,0.00003767157,0.00010354571,0.000028342458,0.00013934558,0.000023817533,0.00007305811,0.000026500731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024363046,0.000057869147,0.0056427177,0.007481563,0.00032710558,0.000014922818,0.024357,0.009724141,0.893967,0.014273385,0.011691123,0.032219563],"study_design_scores_gemma":[0.00034593488,0.000057022346,0.002942304,0.00018385936,0.000015712458,0.000010175722,0.0008085156,0.8798751,0.104051225,0.00004153258,0.011535476,0.00013312013],"about_ca_topic_score_codex":0.000067771885,"about_ca_topic_score_gemma":0.000024796436,"teacher_disagreement_score":0.870151,"about_ca_system_score_codex":0.00003621552,"about_ca_system_score_gemma":0.0000030162896,"threshold_uncertainty_score":0.275775},"labels":[],"label_agreement":null},{"id":"W4386747333","doi":"10.3390/s23187856","title":"HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Taif University","keywords":"Computer science; Artificial intelligence; Transfer of learning; Intrusion detection system; Process (computing); Industrial Internet; Deep learning; Machine learning; Cloud computing; Internet of Things; Automation; Measure (data warehouse); Quality (philosophy); Transfer (computing); Data mining; Computer security; Engineering","score_opus":0.021101921733171027,"score_gpt":0.22897919476894282,"score_spread":0.2078772730357718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386747333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73646384,0.000016859927,0.26258767,0.00001245939,0.00022707146,0.00016813145,0.0000025532795,0.0004899415,0.000031464733],"genre_scores_gemma":[0.9979098,0.00004305226,0.0016219236,0.0000142327835,0.00022450376,0.000013392478,0.000016324804,0.000057183348,0.000099581186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991486,0.000031232015,0.00014728072,0.00021003348,0.00012556085,0.00033725612],"domain_scores_gemma":[0.99969375,0.000044478045,0.0000129563905,0.00012457503,0.000032874515,0.00009137246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015147649,0.00015367065,0.00015808833,0.00011672737,0.00021395274,0.00003673199,0.000074523174,0.00019588711,0.0000067510327],"category_scores_gemma":[0.000013958575,0.0001417468,0.000047222737,0.00028791785,0.000035139343,0.00014937912,0.0000106736425,0.00053903257,0.0000037171799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000775756,0.0000071010068,0.000033146338,0.00002591906,0.000015472562,0.000007841553,0.00055002654,0.9929154,0.0044862814,0.0000048729366,0.00001681426,0.0018595585],"study_design_scores_gemma":[0.00052096613,0.000058831127,0.00005814665,0.000044208387,0.000024624016,0.000018927036,0.00030604925,0.9909353,0.007704005,0.00002032246,0.00010013341,0.0002084529],"about_ca_topic_score_codex":0.000016594819,"about_ca_topic_score_gemma":0.000018755534,"teacher_disagreement_score":0.26144597,"about_ca_system_score_codex":0.000044001983,"about_ca_system_score_gemma":0.000013763728,"threshold_uncertainty_score":0.57802665},"labels":[],"label_agreement":null},{"id":"W4386952208","doi":"10.1109/mts.2023.3306540","title":"A Review of Techniques and Policies on Cybersecurity Using Artificial Intelligence and Reinforcement Learning Algorithms","year":2023,"lang":"en","type":"review","venue":"IEEE Technology and Society Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer security; Computer science; Reinforcement learning; Context (archaeology); Cyber threats; Domain (mathematical analysis); USable; Process (computing); Artificial intelligence; World Wide Web","score_opus":0.05449281894655274,"score_gpt":0.32900923689099854,"score_spread":0.2745164179444458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386952208","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013356186,0.9976698,0.0009269944,0.000052717944,0.00011898137,0.0004936932,0.000011230093,0.00048186682,0.00011113583],"genre_scores_gemma":[0.00013390253,0.99877053,0.0008746874,0.000030851057,0.0000823785,0.000041598592,0.000007362251,0.000034660326,0.000024028292],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871904,0.000032704524,0.00055011554,0.0003101929,0.00011725331,0.00027070436],"domain_scores_gemma":[0.9994356,0.000115867784,0.00015405111,0.00020628535,0.00003923258,0.000048937236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035254893,0.00033771532,0.0010575925,0.0002408001,0.00014435078,0.000016160908,0.0001490312,0.0006099629,0.0000028355137],"category_scores_gemma":[0.00005661387,0.00029564145,0.00014613512,0.0007278735,0.0006438949,0.000052567615,0.0001330659,0.0008724072,0.0000041299536],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013369722,0.000014469936,0.0000010678717,0.12004011,0.00017148006,0.0000113540755,0.00031165345,0.0000683773,0.000016917313,0.00465118,0.00032868158,0.8743834],"study_design_scores_gemma":[0.000081494865,0.00040902098,0.0000010740434,0.19274014,0.0007881397,0.00040057756,0.00046915046,0.008301689,0.0006194209,0.0030549977,0.79207414,0.0010601695],"about_ca_topic_score_codex":0.000009685757,"about_ca_topic_score_gemma":0.0000030847839,"teacher_disagreement_score":0.8733232,"about_ca_system_score_codex":0.0000422232,"about_ca_system_score_gemma":0.000029676436,"threshold_uncertainty_score":0.9999496},"labels":[],"label_agreement":null},{"id":"W4386953413","doi":"10.1109/ccta54093.2023.10252873","title":"Sensor Cyber-Attack and Fault Detection and Isolation of Nonlinear Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Kalman filter; Fault detection and isolation; Cyber-attack; Nonlinear system; Computer science; Detector; Fault (geology); Real-time computing; Noise (video); Computer security; Control theory (sociology); Control (management); Artificial intelligence; Telecommunications; Physics; Actuator","score_opus":0.010930818293495091,"score_gpt":0.23275414860613428,"score_spread":0.22182333031263918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386953413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970013,0.00007674901,0.0017757674,0.00001792287,0.0002346314,0.000096832664,0.0000055054443,0.00018988347,0.0006014364],"genre_scores_gemma":[0.99947894,0.00009660969,0.00012577424,0.000002647633,0.00014012327,0.0000036112979,0.0000026762261,0.000009213724,0.0001404017],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959743,0.000011994141,0.00010398151,0.00010037248,0.000085763735,0.000100481935],"domain_scores_gemma":[0.9997927,0.00006432505,0.000013394293,0.00007009366,0.000021287418,0.00003822055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057228022,0.00006847958,0.00010816159,0.000060551098,0.00003658986,0.000017888628,0.00002190289,0.00005420331,0.000001586615],"category_scores_gemma":[0.000014364568,0.000059539874,0.000015695592,0.00017088052,0.00003282354,0.0000877175,0.000016205046,0.00006852702,0.000017111075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004028525,0.00006913589,0.006652028,0.0013165805,0.00011485272,0.00001509946,0.0050047785,0.24194531,0.7339813,0.0006453785,0.0007830243,0.009432236],"study_design_scores_gemma":[0.00013040476,0.000033503813,0.008877345,0.000020332183,0.0000075117177,0.000009745424,0.00032771158,0.97842175,0.011374612,0.000009935169,0.000707185,0.000079985584],"about_ca_topic_score_codex":0.000048499052,"about_ca_topic_score_gemma":0.00003916154,"teacher_disagreement_score":0.7364764,"about_ca_system_score_codex":0.000005890949,"about_ca_system_score_gemma":0.000002240631,"threshold_uncertainty_score":0.24279656},"labels":[],"label_agreement":null},{"id":"W4387005196","doi":"10.1109/pesgm52003.2023.10252928","title":"Real-time Protection Against Microgrid False Data Injection Attacks Using Passive Monitoring","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Microgrid; IEC 61850; Testbed; Fault (geology); Computer science; Reliability (semiconductor); Real-time computing; Smart grid; Distributed generation; Energy (signal processing); Reliability engineering; Computer security; Computer network; Engineering; Control (management); Electrical engineering; Power (physics)","score_opus":0.044850824853103585,"score_gpt":0.2771166850274552,"score_spread":0.23226586017435158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387005196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99414456,0.000043491764,0.0017047578,0.000024574492,0.0015745886,0.00025128876,0.000015644982,0.0014362655,0.0008048164],"genre_scores_gemma":[0.99660903,0.0006777592,0.0011207284,0.000005356492,0.0011889429,0.000024311472,0.00008004302,0.000052074403,0.00024176716],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999094,0.00002407433,0.00017791674,0.00026568898,0.00015754296,0.00028074093],"domain_scores_gemma":[0.99944484,0.000026763586,0.000026262114,0.0004090198,0.00003255228,0.000060552335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480387,0.00013464574,0.000118937016,0.00015555116,0.00017114777,0.00006512962,0.00021529672,0.000108154556,0.00001354884],"category_scores_gemma":[0.000033532233,0.0001327843,0.000029842595,0.0005877145,0.000025228448,0.00041470956,0.00013389229,0.00018276747,0.00026078284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007129264,0.000012552851,0.0008383799,0.00007740122,0.00003605682,0.000017947214,0.00029959503,0.15617245,0.8264539,0.0000035408468,0.0019606513,0.01412036],"study_design_scores_gemma":[0.00018918567,0.000027052676,0.0034109952,0.00010993076,0.000015795455,0.000022498905,0.00043927552,0.85695857,0.13572252,0.000016649128,0.0027776107,0.00030989168],"about_ca_topic_score_codex":0.00017904412,"about_ca_topic_score_gemma":0.000020789705,"teacher_disagreement_score":0.7007861,"about_ca_system_score_codex":0.000095279844,"about_ca_system_score_gemma":0.000017421562,"threshold_uncertainty_score":0.5414787},"labels":[],"label_agreement":null},{"id":"W4387005490","doi":"10.1109/pesgm52003.2023.10252747","title":"Cyberattack Threats Against Adaptive Protection Systems in Microgrids","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Resilience (materials science); Vulnerability (computing); Reliability (semiconductor); Computer science; Computer security; Power-system protection; Risk analysis (engineering); Electric power system; Reliability engineering; Engineering; Business","score_opus":0.026416234070389726,"score_gpt":0.22872708230074215,"score_spread":0.20231084823035242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387005490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98094535,0.0007077803,0.00119546,0.000056394325,0.0012600672,0.00049077295,0.0000044050425,0.001024171,0.0143155875],"genre_scores_gemma":[0.9989408,0.00023503363,0.000035580786,0.000011083504,0.00012078523,0.00008042458,0.0000044300537,0.0000141259925,0.00055771763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994314,0.00001717745,0.00012854056,0.00012532197,0.00009042226,0.0002071737],"domain_scores_gemma":[0.99982333,0.000017267947,0.0000074760383,0.000103570455,0.000014121182,0.00003423695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010898478,0.00008756506,0.00009892179,0.00013140395,0.000035570643,0.000028871078,0.00006825867,0.00007574104,0.0000062412987],"category_scores_gemma":[0.000005490969,0.00007760664,0.000023740233,0.00052292313,0.000017537537,0.0000989146,0.000016246393,0.00013991396,0.0003796267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017896396,0.00004227712,0.0012675386,0.00020829722,0.000039609757,0.00009747066,0.0017894033,0.9287546,0.044760246,0.0013349289,0.006903882,0.014783797],"study_design_scores_gemma":[0.00040686785,0.00005571847,0.012273914,0.00016993677,0.0000032653822,0.000012507224,0.0013325494,0.96670574,0.012106154,0.000111376066,0.006474913,0.0003470845],"about_ca_topic_score_codex":0.00009384569,"about_ca_topic_score_gemma":0.00018025786,"teacher_disagreement_score":0.03795106,"about_ca_system_score_codex":0.00005557701,"about_ca_system_score_gemma":0.000007974999,"threshold_uncertainty_score":0.48794597},"labels":[],"label_agreement":null},{"id":"W4387005704","doi":"10.1109/pesgm52003.2023.10252825","title":"A Real-time Quantitative Framework for Survivability Evaluation of Smart Grids","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Hydro-Québec","keywords":"Survivability; Computer science; Distributed computing; Reliability engineering; Computer network; Engineering","score_opus":0.05155386442081353,"score_gpt":0.3336068018778784,"score_spread":0.28205293745706483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387005704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817206,0.00003017604,0.013424881,0.000071754504,0.00048755785,0.0004216621,0.000027863172,0.0003320795,0.0034834212],"genre_scores_gemma":[0.9907269,0.000050014267,0.008981564,0.000004141582,0.00004980817,0.00007665898,0.000020677911,0.0000143249645,0.00007589265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992247,0.000055447443,0.00017813372,0.00012574952,0.00026293623,0.00015301768],"domain_scores_gemma":[0.9988417,0.00075554417,0.000019389821,0.00018136327,0.00017019824,0.000031814576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013376035,0.0000731052,0.00013786905,0.00006406664,0.000035325826,0.000007135756,0.00008708701,0.00008016104,0.00015033827],"category_scores_gemma":[0.00067207427,0.00006566194,0.00006006134,0.0003793185,0.000044829812,0.000070386835,0.00001533541,0.00005972225,0.0000904151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003383512,0.00030547057,0.014793433,0.0018937734,0.00047440105,0.0000021737324,0.01605404,0.4911255,0.0946685,0.33699486,0.031024804,0.012324717],"study_design_scores_gemma":[0.0002440468,0.000101320395,0.03062559,0.00004076945,0.000031556974,2.3446256e-7,0.00043680266,0.91264194,0.012237315,0.04330105,0.00020114213,0.00013823889],"about_ca_topic_score_codex":0.00004414299,"about_ca_topic_score_gemma":0.00004950131,"teacher_disagreement_score":0.42151645,"about_ca_system_score_codex":0.00003263307,"about_ca_system_score_gemma":0.000029489658,"threshold_uncertainty_score":0.26776162},"labels":[],"label_agreement":null},{"id":"W4387005885","doi":"10.1109/pesgm52003.2023.10253436","title":"Application of Feasibility Area for Cybersecurity of Electric Power Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Electric power system; Computer science; Power (physics); Phasor; Real-time computing","score_opus":0.01404206333566573,"score_gpt":0.2378219626031646,"score_spread":0.22377989926749886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387005885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516789,0.00022736183,0.045514215,0.000009548852,0.00021029137,0.0005341741,0.000021285607,0.00020351954,0.001600731],"genre_scores_gemma":[0.99981123,0.000023398143,0.000056046494,0.0000015953132,0.000011313418,0.000041702355,0.000007823044,0.000006653905,0.000040237606],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948454,0.0000076030224,0.00019236229,0.000097686774,0.000098281525,0.00011953506],"domain_scores_gemma":[0.99960303,0.00009293185,0.000029442586,0.00018790373,0.000061556144,0.000025133606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018805012,0.00005561287,0.00013538408,0.00007202334,0.000015196945,0.0000028598429,0.0000934254,0.000055888122,0.0000050737076],"category_scores_gemma":[0.000036181533,0.000049460392,0.00005071234,0.00040470852,0.000018446839,0.000037956775,0.000009613334,0.00003854911,0.0000066705315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012621921,0.0003820592,0.042832833,0.0053062956,0.00019117985,0.0000012959572,0.0029974459,0.21755067,0.64827836,0.05904955,0.022195606,0.0010884982],"study_design_scores_gemma":[0.0003045298,0.000080711194,0.02147316,0.00002225392,0.000013302275,0.0000014048959,0.00030497723,0.9012883,0.07415899,0.0008275124,0.001381613,0.00014328014],"about_ca_topic_score_codex":0.00003707983,"about_ca_topic_score_gemma":0.000009343047,"teacher_disagreement_score":0.6837376,"about_ca_system_score_codex":0.000020106607,"about_ca_system_score_gemma":0.000009407859,"threshold_uncertainty_score":0.20169362},"labels":[],"label_agreement":null},{"id":"W4387006169","doi":"10.1109/pesgm52003.2023.10252487","title":"On the Use of Safety Critical Control for Cyber-Physical Security in the Smart Grid","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Testbed; Exploit; Computer science; Smart grid; Computer security; Cyber-physical system; Compromise; Security controls; Control (management); Process (computing); Controller (irrigation); Critical infrastructure; Engineering; Computer network","score_opus":0.0254356377746509,"score_gpt":0.2560364425932624,"score_spread":0.2306008048186115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387006169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899324,0.000015371992,0.0018204999,0.005483512,0.0005519675,0.0005671616,0.00011439404,0.00014598512,0.0013686726],"genre_scores_gemma":[0.9992894,0.000012151797,0.000016491265,0.0004483942,0.00015090972,0.000052404383,0.0000041644203,0.000008804285,0.000017300541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992815,0.000067960544,0.00014899609,0.00010427366,0.00017131833,0.00022591792],"domain_scores_gemma":[0.9944701,0.0052505764,0.0000071409704,0.00022248302,0.000023451916,0.00002621687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032344088,0.00008815554,0.00013846751,0.00003402042,0.000065979744,0.000022253938,0.00019423504,0.00004632445,0.000019732113],"category_scores_gemma":[0.0005364806,0.000045516466,0.000089331756,0.00023285669,0.00010845071,0.00006539011,0.000016486149,0.00019665052,0.000031642772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020139664,0.00029171637,0.00071218633,0.00017497996,0.00005326217,0.000016494529,0.0077517857,0.03729426,0.0010954316,0.84773815,0.10419498,0.00047533656],"study_design_scores_gemma":[0.0007907157,0.00015508872,0.014777721,0.000051541792,0.000023758015,0.0000035218322,0.00059024576,0.935855,0.0018543354,0.016494485,0.029191824,0.00021182175],"about_ca_topic_score_codex":0.000029029674,"about_ca_topic_score_gemma":0.00009845229,"teacher_disagreement_score":0.8985607,"about_ca_system_score_codex":0.0000116748015,"about_ca_system_score_gemma":0.000008052919,"threshold_uncertainty_score":0.18561076},"labels":[],"label_agreement":null},{"id":"W4387011016","doi":"10.1109/pesgm52003.2023.10252465","title":"Load-Altering Attacks Against Power Grids Under COVID-19 Low-Inertia Conditions","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Inertia; Electric power system; Exploit; Grid; Computer science; Renewable energy; Vulnerability (computing); Transmission (telecommunications); Power (physics); Engineering; Computer security; Telecommunications; Electrical engineering","score_opus":0.0173963007697648,"score_gpt":0.2755059425371967,"score_spread":0.2581096417674319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387011016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618451,0.00010800626,0.007287165,0.0010001633,0.0017059414,0.00016940071,0.00003432383,0.0024756552,0.025374265],"genre_scores_gemma":[0.9968758,0.000120991375,0.00004388166,0.0014604528,0.00014182931,0.000022979462,0.00004738455,0.000032722794,0.0012539532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998934,0.000015979114,0.00020495646,0.00021675584,0.00022737746,0.00040093492],"domain_scores_gemma":[0.999311,0.000110518595,0.000013365539,0.00027043733,0.00002886756,0.00026586014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013214031,0.00016611052,0.00014536991,0.0001309593,0.0001714495,0.000055116914,0.00019282999,0.000100795536,0.00076799805],"category_scores_gemma":[0.00006303651,0.00015553916,0.00007794286,0.00049152726,0.00007885267,0.00016578964,0.00006983078,0.00018622726,0.0014819844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005752604,0.000032943688,0.0008743365,0.00018278454,0.00006992421,0.000120241,0.0011375977,0.8211143,0.033386473,0.0044500874,0.13855393,0.00007164321],"study_design_scores_gemma":[0.0041829166,0.00019139564,0.056678727,0.00036489553,0.00008523334,0.00014396195,0.0067752283,0.47335616,0.047129646,0.004796435,0.4023801,0.0039152973],"about_ca_topic_score_codex":0.00002524855,"about_ca_topic_score_gemma":0.00009959525,"teacher_disagreement_score":0.3477581,"about_ca_system_score_codex":0.00016502794,"about_ca_system_score_gemma":0.00007714187,"threshold_uncertainty_score":0.9992955},"labels":[],"label_agreement":null},{"id":"W4387034870","doi":"10.36227/techrxiv.24171486.v1","title":"Detecting Adversarial Attacks on Distribution System State Estimation with Feature Attributions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adversarial system; Estimation; Attribution; Feature (linguistics); Computer science; Artificial intelligence; State (computer science); Distribution (mathematics); Pattern recognition (psychology); Computer security; Mathematics; Algorithm; Psychology; Social psychology; Engineering; Philosophy; Systems engineering","score_opus":0.013951509462525729,"score_gpt":0.2268162510198111,"score_spread":0.21286474155728535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387034870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17317435,0.00006386857,0.8146948,0.00023487149,0.0047817556,0.0008753001,0.0011544675,0.004190193,0.00083037117],"genre_scores_gemma":[0.99697477,0.000023914383,0.00096746127,0.0000051680113,0.0002746859,0.000088457426,0.0013926274,0.000047962327,0.00022496998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986178,0.000040970215,0.00023588471,0.0003888022,0.00037243706,0.0003440795],"domain_scores_gemma":[0.99924016,0.000113549584,0.00007734727,0.00038738956,0.000087720386,0.00009385008],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021993021,0.00031758382,0.00028076154,0.00009698933,0.00022379028,0.00013712114,0.00021562539,0.0003596804,0.000005311546],"category_scores_gemma":[0.000060836122,0.0002671654,0.000090287416,0.00027472473,0.00003767123,0.00008797717,0.00013300379,0.0010162288,0.00014469163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002884149,0.000008698282,0.000092498565,0.0005754601,0.00007158002,0.000020441103,0.00013565064,0.9951732,0.00003495181,0.00032611826,0.0029839408,0.00054860907],"study_design_scores_gemma":[0.00033965334,0.00006504475,0.00316031,0.0012166697,0.00006986295,0.000018232362,0.00021525119,0.9909707,0.0027051028,0.000093623465,0.0006715073,0.0004740435],"about_ca_topic_score_codex":0.00008512731,"about_ca_topic_score_gemma":0.0001835616,"teacher_disagreement_score":0.8238004,"about_ca_system_score_codex":0.0005760217,"about_ca_system_score_gemma":0.000059214766,"threshold_uncertainty_score":0.99997807},"labels":[],"label_agreement":null},{"id":"W4387039383","doi":"10.1049/icp.2023.0605","title":"Distributed ledger technology for monitoring operations carried out on the embedded generation units","year":2023,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"SCADA; Distributed ledger; Computer science; Reliability (semiconductor); Distributed generation; Resilience (materials science); Distributed computing; Process (computing); Proof of concept; Software; Grid; Blockchain; Ledger; Embedded system; Computer security; Reliability engineering; Power (physics); Engineering; Operating system; Electrical engineering; Renewable energy","score_opus":0.07218612705183654,"score_gpt":0.274725851007116,"score_spread":0.20253972395527947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387039383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906144,0.000038430608,0.0045881253,0.0015508906,0.0011544734,0.00050907,0.00006285003,0.00089747057,0.00058427115],"genre_scores_gemma":[0.9987091,0.00006382675,0.00013816787,0.000022066803,0.0004284678,0.00039706117,0.000049099115,0.00001929654,0.00017292384],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921936,0.0000037785064,0.0001633844,0.00019741693,0.00013063035,0.00028541195],"domain_scores_gemma":[0.99940807,0.000036040467,0.000017972097,0.00010998796,0.00038198804,0.000045939436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001401117,0.00014452176,0.00012342459,0.00011978743,0.00033303656,0.0001507398,0.00024834074,0.00014065245,0.000010896344],"category_scores_gemma":[0.00033076128,0.000111377194,0.000026297515,0.00066374487,0.000065839544,0.00013837132,0.000033058976,0.00021445399,0.00005772966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031999734,0.00005520719,0.00481877,0.00023897187,0.00016297637,0.0000047558437,0.01823675,0.038138848,0.70223176,0.16185561,0.06993882,0.004285532],"study_design_scores_gemma":[0.00031626658,0.00008143756,0.0006404215,0.000100817284,0.000022680291,0.0000027604005,0.0049999575,0.562335,0.42251378,0.000798249,0.007849958,0.00033868078],"about_ca_topic_score_codex":0.0000015326127,"about_ca_topic_score_gemma":0.000010919967,"teacher_disagreement_score":0.52419615,"about_ca_system_score_codex":0.000040317293,"about_ca_system_score_gemma":0.000043232852,"threshold_uncertainty_score":0.454183},"labels":[],"label_agreement":null},{"id":"W4387039883","doi":"10.1049/icp.2023.0837","title":"Implementation of an advanced remote engineering platform","year":2023,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Estonian; Computer science; Realization (probability); Systems engineering; Grid; Grid computing; Embedded system; Telecommunications; Engineering","score_opus":0.01551676663957618,"score_gpt":0.2589706323381113,"score_spread":0.2434538656985351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387039883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973243,0.00002462272,0.0007219745,0.000024187937,0.00027297199,0.00013883713,0.00000793708,0.00058859703,0.00089656725],"genre_scores_gemma":[0.99824125,0.000121241654,0.0015038194,0.000006891872,0.00007018985,0.000008890592,0.000012363053,0.000018680588,0.000016668355],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992269,8.17016e-7,0.00019964567,0.00014689533,0.00017072314,0.00025497994],"domain_scores_gemma":[0.9997213,0.000010214856,0.000033083066,0.00007107374,0.00009232756,0.000072011295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114531336,0.000118687945,0.00013642118,0.00012846543,0.0000343764,0.00003271866,0.00017274474,0.00005989086,0.000041464773],"category_scores_gemma":[0.000018515688,0.00012254037,0.000027930906,0.00037297767,0.000020816577,0.00047992365,0.000027941152,0.000117105286,0.000023516033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036464702,0.000029657676,0.0039979964,0.001463211,0.00008638075,0.000012830567,0.019413725,0.021547358,0.72496605,0.013295229,0.0014638812,0.21368723],"study_design_scores_gemma":[0.0005256392,0.00014524584,0.024241613,0.0001374388,0.000013280108,0.000009647751,0.0058222115,0.66797554,0.29786292,0.0007565817,0.0021304826,0.00037935964],"about_ca_topic_score_codex":0.00001661965,"about_ca_topic_score_gemma":0.000015543834,"teacher_disagreement_score":0.6464282,"about_ca_system_score_codex":0.000022632921,"about_ca_system_score_gemma":0.000018314426,"threshold_uncertainty_score":0.49970514},"labels":[],"label_agreement":null},{"id":"W4387132951","doi":"10.18280/ijsse.130403","title":"SE-CDR: Enhancing Security and Efficiency of Key Management in Internet of Energy Consumer Demand-Response Communications","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demand response; Key (lock); The Internet; Computer security; Efficient energy use; On demand; Business; Computer science; Engineering; World Wide Web; Commerce","score_opus":0.006892117690502528,"score_gpt":0.23176597282819436,"score_spread":0.22487385513769184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387132951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870099,0.0027571835,0.009456964,0.00014209413,0.00036738737,0.00005568,0.000016014756,0.000027315491,0.0001674915],"genre_scores_gemma":[0.9894054,0.010114872,0.00042286614,0.0000090255,0.000026239453,0.0000018102132,0.0000036081003,0.000010312089,0.000005900264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884206,0.000046216937,0.0006202837,0.00009033184,0.00026119608,0.00013993183],"domain_scores_gemma":[0.999229,0.00036978605,0.00011722909,0.00011526142,0.00010593389,0.00006276055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007216327,0.000117874,0.00025276883,0.00050075323,0.000018237997,0.000015218737,0.00035770398,0.00006501873,0.0000069942153],"category_scores_gemma":[0.000084388616,0.00012094288,0.00005912091,0.000245101,0.000089460336,0.00017091859,0.00018461136,0.00022204277,5.210427e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049603507,0.0012223803,0.018879315,0.00388189,0.0038997824,0.00094528083,0.14508517,0.583237,0.1158371,0.104509436,0.00054726185,0.016995052],"study_design_scores_gemma":[0.0025514234,0.00014307164,0.036209956,0.0016216341,0.00007223333,0.0002623341,0.0014783078,0.91456103,0.031813134,0.0012355748,0.009609672,0.00044161233],"about_ca_topic_score_codex":0.000028792256,"about_ca_topic_score_gemma":0.000042600506,"teacher_disagreement_score":0.33132407,"about_ca_system_score_codex":0.00004579574,"about_ca_system_score_gemma":0.00001463549,"threshold_uncertainty_score":0.49319074},"labels":[],"label_agreement":null},{"id":"W4387411723","doi":"10.1109/icrera59003.2023.10269439","title":"Resilient DoS Attack Detector Design for Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denial-of-service attack; Computer science; Smart grid; Cyber-physical system; Controller (irrigation); Electric power system; Grid; Telecommunications network; Transmission (telecommunications); Distributed computing; Computer network; Computer security; Power (physics); Engineering; Telecommunications; Electrical engineering","score_opus":0.03557925683656846,"score_gpt":0.26479405938305683,"score_spread":0.22921480254648838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387411723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8964812,0.00018751391,0.09657861,0.000072518815,0.0021167495,0.0009845262,0.000019216,0.0019209259,0.0016387088],"genre_scores_gemma":[0.9978467,0.000023583027,0.00043221237,0.0000122265565,0.00043258874,0.00017781535,0.000004999017,0.000030832085,0.0010390239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916726,0.000020798721,0.00014516278,0.00017544114,0.0001567403,0.0003346067],"domain_scores_gemma":[0.99936956,0.0003018561,0.000010453838,0.00020227468,0.000027061602,0.00008878265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015293363,0.00012339166,0.00015595424,0.00007269269,0.00007654019,0.00004331477,0.00015309463,0.00006532925,0.000010019467],"category_scores_gemma":[0.000032560583,0.0001018432,0.00007312046,0.00028168352,0.000025899088,0.00006970853,0.000022992643,0.00008220449,0.0005058728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021268443,0.000025054036,0.000061004903,0.0002465392,0.0000394747,0.000010754127,0.0005657308,0.8791512,0.016043853,0.0013356685,0.10186711,0.00063229405],"study_design_scores_gemma":[0.00024150398,0.00007419547,0.0005503761,0.000028579378,0.000010180668,0.0000036576716,0.00015943406,0.9646318,0.018739846,0.00007823899,0.015279002,0.00020318246],"about_ca_topic_score_codex":0.000007907818,"about_ca_topic_score_gemma":0.000005698599,"teacher_disagreement_score":0.10136549,"about_ca_system_score_codex":0.00003671388,"about_ca_system_score_gemma":0.000011996538,"threshold_uncertainty_score":0.650214},"labels":[],"label_agreement":null},{"id":"W4387885630","doi":"10.1109/ticps.2023.3326773","title":"A Proactive Intrusion Detection and Mitigation System for Grid-Connected Photovoltaic Inverters","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Photovoltaic system; Grid; Computer science; Intrusion detection system; Electric power system; Grid-connected photovoltaic power system; Identification (biology); Maximum power point tracking; Power (physics); Real-time computing; Reliability engineering; Distributed computing; Voltage; Engineering; Electrical engineering; Computer security; Inverter","score_opus":0.020946419623514897,"score_gpt":0.21831231109920643,"score_spread":0.19736589147569153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387885630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9117338,0.000010483067,0.078284614,0.000022528757,0.0069115567,0.0017428148,0.0001506941,0.0010761422,0.00006733465],"genre_scores_gemma":[0.9979301,0.00000855228,0.0000064320807,0.000004275793,0.001125218,0.00082637894,0.000014976982,0.000042991378,0.000041093575],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986528,0.00009942429,0.00030912264,0.00034257097,0.0002653409,0.00033074804],"domain_scores_gemma":[0.9992222,0.00033128908,0.000059034435,0.00017327043,0.000065756794,0.00014843454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017541937,0.0002438542,0.0003284188,0.0002504435,0.00034069346,0.00009072083,0.00009296045,0.00029679743,0.000001342262],"category_scores_gemma":[0.00001628765,0.00023011968,0.000121730365,0.0007761653,0.00006608857,0.0002393118,0.0000015180213,0.0004107762,0.000040894607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007094504,0.00021244312,0.000022656635,0.00089465105,0.00053972757,0.0000124079,0.0035575514,0.31943303,0.62253344,0.00017099717,0.0011659424,0.050747693],"study_design_scores_gemma":[0.0014823745,0.00029261483,0.000080284124,0.0002620652,0.00009246359,0.000015565372,0.0013366323,0.7112867,0.28430912,0.000022458862,0.00049906597,0.0003206431],"about_ca_topic_score_codex":0.0002814728,"about_ca_topic_score_gemma":0.00005757931,"teacher_disagreement_score":0.39185366,"about_ca_system_score_codex":0.00027049994,"about_ca_system_score_gemma":0.000027167625,"threshold_uncertainty_score":0.93840086},"labels":[],"label_agreement":null},{"id":"W4387914644","doi":"10.1109/codit58514.2023.10284048","title":"Detection of Event-Based Covert Attacks in Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Covert; Computer science; Event (particle physics); Anomaly detection; Cyber-physical system; Detector; Computer security; Anomaly (physics); Real-time computing; Data mining; Telecommunications","score_opus":0.008000102719246968,"score_gpt":0.22846034950683536,"score_spread":0.22046024678758838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387914644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99506146,0.000034187975,0.0031497593,0.000008166183,0.00045867043,0.00008005308,0.0000022908773,0.00018808678,0.0010173031],"genre_scores_gemma":[0.9998408,0.000006476791,0.0000036518527,0.0000034171164,0.000052550055,0.00001106182,0.0000021198491,0.000005935669,0.00007398148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960166,0.000012591338,0.000104091545,0.000068239206,0.00010231581,0.000111120105],"domain_scores_gemma":[0.99981886,0.000055424076,0.000008040334,0.00008640571,0.000009516707,0.000021750659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006512137,0.000051066698,0.000101265694,0.000085263426,0.000010784931,0.000005622304,0.000050409464,0.000039389004,0.000004118249],"category_scores_gemma":[0.000008048246,0.000045984827,0.000030791314,0.0003600095,0.000013163336,0.00004139483,0.000007354297,0.00006800318,0.000073119816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005003372,0.000021779922,0.0009353374,0.00012317242,0.000005918862,0.0000040948594,0.00018896538,0.91828436,0.079672836,0.0001310005,0.0003218996,0.00030563542],"study_design_scores_gemma":[0.00015120982,0.00002244476,0.007090795,0.00003221813,0.0000018970964,6.0871815e-7,0.00012250671,0.9044736,0.08743771,0.000009867238,0.00059443153,0.00006272956],"about_ca_topic_score_codex":0.000114985894,"about_ca_topic_score_gemma":0.00013287144,"teacher_disagreement_score":0.013810777,"about_ca_system_score_codex":0.00002470009,"about_ca_system_score_gemma":0.0000066938555,"threshold_uncertainty_score":0.18752068},"labels":[],"label_agreement":null},{"id":"W4387951191","doi":"10.1109/ccece58730.2023.10288731","title":"An RTDS-based Early-stage Attack Detection Mechanism for Smart Grid Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Smart grid; Computer science; Mechanism (biology); Stage (stratigraphy); Computer network; Engineering; Electrical engineering","score_opus":0.017733575660887624,"score_gpt":0.2482877116284947,"score_spread":0.23055413596760707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387951191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5224695,0.000011394068,0.47324094,0.000034599507,0.0021160443,0.00027078038,0.000012228188,0.0014672325,0.00037725418],"genre_scores_gemma":[0.99836737,0.000021178454,0.00055743684,0.00009688783,0.0004521597,0.00007854583,0.000031103824,0.000036390447,0.0003589072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992222,0.000014384851,0.00013565844,0.00018653547,0.00011038507,0.00033080683],"domain_scores_gemma":[0.99956846,0.00007233072,0.000013060147,0.00021582204,0.000034002765,0.00009632481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015938058,0.00012473343,0.00011068157,0.00009348025,0.00012768661,0.000049214403,0.00013197715,0.00012752111,0.00004822294],"category_scores_gemma":[0.000014196815,0.00011930723,0.000067895424,0.0002977628,0.000016313445,0.00014106858,0.000010908829,0.0001238762,0.00008403484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025339412,0.000020653972,0.00026080548,0.00008191797,0.000019738369,0.000007240704,0.000117819705,0.9831529,0.010398517,0.0014336448,0.0024387224,0.0020426963],"study_design_scores_gemma":[0.0002478079,0.00011461588,0.0014655556,0.000008193231,0.000006732322,6.79139e-7,0.000047987472,0.95364994,0.040374763,0.00012502813,0.0037860973,0.00017258507],"about_ca_topic_score_codex":0.000042570842,"about_ca_topic_score_gemma":0.00043840523,"teacher_disagreement_score":0.47589788,"about_ca_system_score_codex":0.000026556127,"about_ca_system_score_gemma":0.000007696,"threshold_uncertainty_score":0.48652077},"labels":[],"label_agreement":null},{"id":"W4387951288","doi":"10.1109/ccece58730.2023.10288760","title":"Protection of Power System State Estimation against False Data Injection Attacks","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Redundancy (engineering); Reliability (semiconductor); Electric power system; Computer science; Reliability engineering; State (computer science); Data mining; Power (physics); Engineering; Algorithm","score_opus":0.024370594336205684,"score_gpt":0.24480740542240345,"score_spread":0.22043681108619778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387951288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89154387,0.000026152282,0.10415247,0.000019206844,0.0008602468,0.00028339028,0.000028052975,0.0010687155,0.0020178903],"genre_scores_gemma":[0.99959576,0.00001882478,0.0001900996,0.000002760347,0.000021455222,0.000012109653,0.000056102257,0.000011252882,0.00009164784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944156,0.000016476544,0.00017106906,0.00012488799,0.00013488448,0.00011110892],"domain_scores_gemma":[0.99961424,0.000015420912,0.000025677495,0.0002921296,0.000027820408,0.000024733523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020620557,0.00006596481,0.000082332204,0.00011518674,0.000041656265,0.000015994996,0.00011898723,0.0000455245,0.000005304647],"category_scores_gemma":[0.000028731258,0.000059944836,0.000014874131,0.0003969939,0.0000147591245,0.0002708363,0.000045805788,0.00007636956,0.00011456673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009119225,0.000010795761,0.00016656697,0.00048106798,0.000022962342,0.000003229332,0.00049681595,0.97569484,0.01147401,0.00013449021,0.002325922,0.009180212],"study_design_scores_gemma":[0.000091669666,0.00002386888,0.0025564928,0.0000659183,0.0000033953218,0.000004367862,0.00028920648,0.9886003,0.007771187,0.000016117234,0.00050139177,0.00007604696],"about_ca_topic_score_codex":0.0000420159,"about_ca_topic_score_gemma":0.000037396447,"teacher_disagreement_score":0.108051874,"about_ca_system_score_codex":0.000036669535,"about_ca_system_score_gemma":0.000008622985,"threshold_uncertainty_score":0.24444795},"labels":[],"label_agreement":null},{"id":"W4387957230","doi":"10.18280/mmep.100505","title":"A Comprehensive Review of Distributed Control Techniques for the Operation of Modern Electrical Distribution Networks","year":2023,"lang":"en","type":"review","venue":"Mathematical Modelling and Engineering Problems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad del Valle; Universidad Nacional de Colombia","keywords":"Distribution (mathematics); Computer science; Control (management); Systems engineering; Engineering; Artificial intelligence; Mathematics","score_opus":0.03755613303289267,"score_gpt":0.26474101120417276,"score_spread":0.22718487817128008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387957230","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.2862968e-7,0.4959157,0.5030513,0.0000047589106,0.000032058448,0.0007949696,0.00009775648,0.0001021926,9.556462e-7],"genre_scores_gemma":[0.0003723222,0.99708146,0.0017404408,0.0000025356774,0.00006119156,0.00049916696,0.00018954789,0.000051415947,0.0000019324486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985904,0.000023528277,0.0008154337,0.00017564381,0.0001527627,0.00024224141],"domain_scores_gemma":[0.9985237,0.0010107904,0.00011238767,0.00021577402,0.000088075016,0.000049287817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035915594,0.00028314543,0.0012418103,0.00004816873,0.000044359942,0.000018192437,0.00017553967,0.00022403795,8.60028e-7],"category_scores_gemma":[0.000074181706,0.00018821891,0.00025102808,0.0002577842,0.00004570539,0.000034168308,0.000024705278,0.0003117161,6.673808e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010845406,0.000011236087,9.874274e-9,0.23672615,0.00011121924,1.7479202e-7,0.0000153031,0.73601645,0.0000013396751,0.0011990354,0.00004892859,0.025869062],"study_design_scores_gemma":[0.000060733117,0.000029499126,3.2082113e-8,0.0627594,0.00042375326,0.000007740034,6.5577655e-7,0.90781933,0.0000042024903,0.0005085322,0.028220946,0.00016516242],"about_ca_topic_score_codex":0.0000011350731,"about_ca_topic_score_gemma":5.0624504e-8,"teacher_disagreement_score":0.5013108,"about_ca_system_score_codex":0.000033077024,"about_ca_system_score_gemma":0.000016825026,"threshold_uncertainty_score":0.76753443},"labels":[],"label_agreement":null},{"id":"W4387982695","doi":"10.1109/rfid-ta58140.2023.10290714","title":"Replay Cyberattack Detection in an IoT-based Healthcare System using RFID Sensors","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Hacker; Replay attack; Computer security; Key (lock); Adversary; Drone; Scheme (mathematics); Embedded system; Authentication (law)","score_opus":0.025112110276397925,"score_gpt":0.26854636702012535,"score_spread":0.24343425674372743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387982695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968954,0.000034880843,0.0009281654,0.000039126826,0.0007643217,0.00013795974,0.0000035824226,0.00101719,0.00017939422],"genre_scores_gemma":[0.9995812,0.000003076902,0.00022634253,0.00002341958,0.00011160703,0.0000071415748,0.000004819097,0.000022107402,0.000020285432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917674,0.00005629556,0.00019175393,0.00018526468,0.00012889839,0.00026103712],"domain_scores_gemma":[0.99964106,0.00003349757,0.000014049845,0.00020734286,0.000024504252,0.0000795547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001927982,0.00010150498,0.00012418946,0.00020456252,0.00008155372,0.000028406066,0.00006683562,0.0001049523,0.000006808179],"category_scores_gemma":[0.0000110569135,0.00009932856,0.00002773266,0.00065794965,0.000013592354,0.00007980387,0.000008748884,0.00015570481,0.000056594297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000078711455,0.000005516159,0.002899082,0.00028708938,0.0000028182462,0.000046455538,0.00033174813,0.98021203,0.015686916,0.000045428613,0.000031707594,0.00044331476],"study_design_scores_gemma":[0.000145703,0.000025381,0.0058631315,0.00008410987,0.0000018635941,0.000011913438,0.00076070946,0.96460295,0.028281337,0.0000020785048,0.000093073795,0.00012775119],"about_ca_topic_score_codex":0.00039723705,"about_ca_topic_score_gemma":0.0022323437,"teacher_disagreement_score":0.015609105,"about_ca_system_score_codex":0.00017083381,"about_ca_system_score_gemma":0.000019499452,"threshold_uncertainty_score":0.4050501},"labels":[],"label_agreement":null},{"id":"W4388004989","doi":"10.1145/3616394.3618275","title":"Are ML Models Scenario-Independent in Enhancing Routing Efficiency for Smart Grid Networks?","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Computer science; Smart grid; Context (archaeology); Grid; Quality of service; Routing protocol; Routing (electronic design automation); Machine learning; Data mining; Distributed computing; Artificial intelligence; Computer network; Engineering","score_opus":0.018174240741882453,"score_gpt":0.2267458934994102,"score_spread":0.20857165275752776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388004989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70026153,0.00031316816,0.29351678,0.0000867431,0.0022619143,0.00047526904,0.0000055403007,0.00096170435,0.0021173186],"genre_scores_gemma":[0.9990426,0.0000807943,0.00025612095,0.00005664769,0.00029065175,0.000050923616,0.000008106536,0.000030497267,0.00018366997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986565,0.000014435341,0.0002976065,0.00025982028,0.00017838908,0.0005932326],"domain_scores_gemma":[0.9995292,0.00015179864,0.000034971887,0.00018174786,0.000026298372,0.00007602331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046554644,0.00015585775,0.0001975232,0.00015572252,0.00011974998,0.0000533194,0.000200024,0.00011622789,0.000014008806],"category_scores_gemma":[0.00005829368,0.00014815795,0.00007252201,0.0005500252,0.000017963415,0.0001940792,0.0000644327,0.00021879586,0.000036130743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000415252,0.000012887246,0.001321719,0.00005560878,0.0000055671408,0.000012960541,0.00051793025,0.99610895,0.00030239625,0.0004370774,0.00082384853,0.00039692628],"study_design_scores_gemma":[0.00026546745,0.000012046759,0.0027362083,0.00013608245,0.0000037827892,0.0000027512172,0.0007542095,0.99417645,0.0012893449,0.00024133245,0.00017720474,0.00020514485],"about_ca_topic_score_codex":0.000053920605,"about_ca_topic_score_gemma":0.0012915682,"teacher_disagreement_score":0.29878104,"about_ca_system_score_codex":0.00007961402,"about_ca_system_score_gemma":0.00001525183,"threshold_uncertainty_score":0.6041706},"labels":[],"label_agreement":null},{"id":"W4388039951","doi":"10.1109/imeta59369.2023.10294503","title":"BOLT: A Bayesian Online Learning Framework for Time Sensitive Networks in Metaverse","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Robustness (evolution); Load balancing (electrical power); Distributed computing; Software-defined networking; OpenFlow; Adaptability; Bayesian network; Real-time computing; Machine learning","score_opus":0.007700134354906082,"score_gpt":0.23354715323577496,"score_spread":0.2258470188808689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388039951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4214759,0.000119494835,0.57280713,0.0003317634,0.0008308724,0.00048861967,0.000016731494,0.0016819497,0.0022475824],"genre_scores_gemma":[0.9899056,0.000109312234,0.008395348,0.00010489696,0.00031485353,0.0000156365,0.000055756107,0.000034710985,0.0010638884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992962,0.000023145236,0.00013728725,0.00014837983,0.00007667968,0.00031831767],"domain_scores_gemma":[0.99945945,0.0003620939,0.000011338501,0.00009491303,0.00001593081,0.000056273177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017381167,0.00010721132,0.0001613476,0.00011486395,0.000051978925,0.000017569559,0.00006950402,0.00013342079,0.00006483922],"category_scores_gemma":[0.000116654744,0.00010240899,0.000059688155,0.0005014642,0.000021239033,0.00006662535,0.000026983189,0.00033037763,0.00013632029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010917144,0.000011661343,0.00023576888,0.000020195317,0.000023267896,0.00002972431,0.0006976842,0.9952534,0.0002041202,0.00087111804,0.0011256873,0.001516445],"study_design_scores_gemma":[0.00015156122,0.000022349943,0.0021548963,0.00004887042,0.00000707619,0.0000024049411,0.0005383765,0.99318516,0.00026094372,0.0005097374,0.002976296,0.00014232915],"about_ca_topic_score_codex":0.0000110761575,"about_ca_topic_score_gemma":0.00006261013,"teacher_disagreement_score":0.5684297,"about_ca_system_score_codex":0.00002461604,"about_ca_system_score_gemma":0.000006028537,"threshold_uncertainty_score":0.41761175},"labels":[],"label_agreement":null},{"id":"W4388516500","doi":"10.1109/fuzz52849.2023.10309678","title":"Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"Narodowe Centrum Badań i Rozwoju","keywords":"Smart grid; Anomaly detection; Fuzzy logic; Computer science; Stability (learning theory); Convergence (economics); Energy management; Anomaly (physics); Mains electricity; Electricity; Data mining; Rate of convergence; Fuzzy control system; Grid; Task (project management); Artificial intelligence; Machine learning; Energy (signal processing); Engineering; Computer security; Mathematics; Statistics; Electrical engineering; Systems engineering","score_opus":0.004243023282431475,"score_gpt":0.17330758170401575,"score_spread":0.16906455842158427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388516500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363118,0.00008854926,0.007601441,0.000011078472,0.00014833707,0.00014067112,2.767447e-7,0.0014787226,0.054219145],"genre_scores_gemma":[0.9991886,0.000109006985,0.00015109895,0.000005027551,0.00004462102,0.000016565546,0.0000011393846,0.000013540986,0.0004703693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994583,0.000014105029,0.000079533966,0.00013663039,0.00011349232,0.00019792853],"domain_scores_gemma":[0.99983877,0.00001967726,0.000009914138,0.000077048506,0.000010374806,0.000044199856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104943916,0.0000859399,0.00008129605,0.0001278776,0.000111884845,0.00003509814,0.000046634446,0.00003728987,0.0000026529556],"category_scores_gemma":[0.0000025037666,0.00006971952,0.00001318018,0.00050182326,0.000013538769,0.00007596876,0.000021797976,0.000115109884,0.000063263346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018542622,0.000060979484,0.0514524,0.0060531804,0.00071465876,0.000758225,0.0027110316,0.7490451,0.026073888,0.032065492,0.0022001166,0.12867954],"study_design_scores_gemma":[0.0011402968,0.00040406108,0.27165464,0.00023107138,0.0000849519,0.00018832304,0.004913198,0.69809496,0.013126013,0.00014844268,0.0091471365,0.00086688343],"about_ca_topic_score_codex":0.000029085772,"about_ca_topic_score_gemma":0.00009330181,"teacher_disagreement_score":0.22020225,"about_ca_system_score_codex":0.00003739053,"about_ca_system_score_gemma":0.0000018382975,"threshold_uncertainty_score":0.28430796},"labels":[],"label_agreement":null},{"id":"W4388737020","doi":"10.1109/iecon51785.2023.10312054","title":"Detection of False Data Injection Attack in CPS by Adaptive Unscented Kalman Filter","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Computer science; Residual; Cyber-attack; Data mining; Adaptive filter; Euclidean distance; Artificial intelligence; Algorithm; Computer security","score_opus":0.03417199848381944,"score_gpt":0.25559543055696893,"score_spread":0.2214234320731495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388737020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99322414,0.00008791426,0.0050766706,0.000022532147,0.0004345593,0.00011853164,0.00004235001,0.00026996576,0.00072332134],"genre_scores_gemma":[0.9995861,0.00008647135,0.000029100149,0.000009128471,0.000033903678,0.000004636351,0.00006506118,0.000009720905,0.00017588277],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946296,0.00001840026,0.00014436484,0.00014278243,0.000097484844,0.00013397711],"domain_scores_gemma":[0.99968606,0.000032834476,0.000013811376,0.00022989397,0.000013528317,0.000023874598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011401617,0.00006799604,0.00008522871,0.00012315977,0.000019338866,0.0000059906492,0.00013795306,0.00006175919,0.000028488115],"category_scores_gemma":[0.000023050845,0.000064909014,0.000014499669,0.0005241283,0.000020669855,0.00019416786,0.000056707104,0.000111035166,0.00006557307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018238254,0.00021658438,0.011201193,0.0003683727,0.00013250324,0.000023391862,0.002861579,0.24954881,0.5751093,0.0001398043,0.13523118,0.0249849],"study_design_scores_gemma":[0.00044331676,0.00009201433,0.021758633,0.000054383934,0.000007284148,0.0000044914646,0.0007422579,0.8460616,0.12391934,0.000036668145,0.0066814935,0.00019852094],"about_ca_topic_score_codex":0.00021019782,"about_ca_topic_score_gemma":0.0014376327,"teacher_disagreement_score":0.5965128,"about_ca_system_score_codex":0.000026343616,"about_ca_system_score_gemma":0.0000042916627,"threshold_uncertainty_score":0.2646913},"labels":[],"label_agreement":null},{"id":"W4388893996","doi":"10.1109/pst58708.2023.10320202","title":"DDoS Attack Dataset (CICEV2023) against EV Authentication in Charging Infrastructure","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Denial-of-service attack; Authentication (law); Computer science; Computer security; Smart grid; Grid; Protocol (science); Service (business); Computer network; The Internet; Engineering; World Wide Web; Business","score_opus":0.013699732677036882,"score_gpt":0.2528513478504118,"score_spread":0.2391516151733749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388893996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647474,0.000053172957,0.0003632958,0.00016697239,0.0006297079,0.00014627195,0.00017163219,0.0004911926,0.0015029912],"genre_scores_gemma":[0.9985889,0.00013002266,0.00007570686,0.00008821238,0.00010003448,0.000012899276,0.000896204,0.00001492527,0.00009306284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993313,0.000011721666,0.00014950169,0.00014832441,0.00012313502,0.00023604359],"domain_scores_gemma":[0.9996835,0.00002804166,0.00001098948,0.00022171979,0.000007771995,0.000047959642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011387497,0.000095027586,0.000088649846,0.00015831002,0.000039695584,0.000029091909,0.00016862813,0.000068188456,0.00009502403],"category_scores_gemma":[0.000027306447,0.00008854952,0.00001776863,0.00054653187,0.000021054017,0.00016224291,0.000033754935,0.00016008726,0.0005886889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010653174,0.00003276254,0.016174586,0.0005125568,0.000036303623,0.000080211736,0.0046444316,0.6068704,0.051099498,0.0010471577,0.3114517,0.008039707],"study_design_scores_gemma":[0.00032554456,0.0000072630874,0.10706808,0.00009110593,0.000005027453,0.0000033935314,0.00048957026,0.83607507,0.0026852188,0.00016773476,0.05278656,0.00029544608],"about_ca_topic_score_codex":0.000008871282,"about_ca_topic_score_gemma":0.00006215874,"teacher_disagreement_score":0.25866514,"about_ca_system_score_codex":0.000034143857,"about_ca_system_score_gemma":0.000009169792,"threshold_uncertainty_score":0.7566601},"labels":[],"label_agreement":null},{"id":"W4388894093","doi":"10.1109/pst58708.2023.10320154","title":"Securing Substations with Trust, Risk Posture, and Multi-Agent Systems: A Comprehensive Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of New Brunswick","funders":"","keywords":"Computer science; Risk analysis (engineering); Computer security; Business","score_opus":0.01725619937123859,"score_gpt":0.2116306223094676,"score_spread":0.194374422938229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388894093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790684,0.0009906889,0.017497461,0.000009755978,0.00019472433,0.00030417938,0.00002647836,0.0006570806,0.0012512098],"genre_scores_gemma":[0.997029,0.00046857583,0.0021688207,0.000010066265,0.000043725286,0.000041936535,0.000018308654,0.000021095793,0.00019848319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936587,0.000022734837,0.00011551635,0.00016757629,0.00012089536,0.00020740567],"domain_scores_gemma":[0.999675,0.000061074345,0.000016839158,0.00013261798,0.00003417641,0.00008031269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051787858,0.00012245234,0.00012969291,0.00009945132,0.00012878224,0.000050850434,0.000065973545,0.00004767781,0.0000030630467],"category_scores_gemma":[0.0000064881715,0.000092777496,0.000018219534,0.00031585657,0.000044590866,0.00008648783,0.000024174147,0.00014609238,0.000030196603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013948905,0.000047480946,0.018267367,0.00061520236,0.00018046968,0.000042874646,0.008805035,0.9678176,0.000706079,0.0014376615,0.0017590532,0.00030719853],"study_design_scores_gemma":[0.00047169832,0.00002400778,0.07267685,0.000033253153,0.000022772543,0.000035377765,0.006409968,0.9185681,0.00013858448,0.000007140662,0.0014182974,0.00019396322],"about_ca_topic_score_codex":0.00010451568,"about_ca_topic_score_gemma":0.000051567647,"teacher_disagreement_score":0.054409485,"about_ca_system_score_codex":0.000016725447,"about_ca_system_score_gemma":0.000006619201,"threshold_uncertainty_score":0.37833565},"labels":[],"label_agreement":null},{"id":"W4389188683","doi":"10.2139/ssrn.4634256","title":"Leveraging Bitcoin Miners as Flexible Load Resources for Power System Stability and Efficiency","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Hospital","funders":"","keywords":"Stability (learning theory); Electric power system; Power (physics); Business; Industrial organization; Computer science; Economics; Environmental economics","score_opus":0.007885994932739877,"score_gpt":0.2167677964693502,"score_spread":0.20888180153661035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389188683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889857,0.0039552897,0.0039635515,0.00016274085,0.00040661058,0.000170552,0.0000028492857,0.00033181653,0.0020208654],"genre_scores_gemma":[0.99876505,0.00063991215,0.000027768892,0.000012598817,0.00012757316,0.000009483525,9.32948e-7,0.000024891788,0.0003917913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976965,0.00003354409,0.00023570204,0.00019555478,0.0002582758,0.0015804177],"domain_scores_gemma":[0.99956506,0.00011228931,0.00003869004,0.00013426908,0.00005371838,0.00009595013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017527585,0.00014831437,0.00017345978,0.00013178706,0.00021897184,0.00007460687,0.0001861299,0.00007081594,0.000006278611],"category_scores_gemma":[0.00008181266,0.00013021247,0.000079426514,0.00034220392,0.000053781132,0.00012555592,0.000030655523,0.0006758896,0.000024634073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018005376,0.0006184165,0.039095875,0.0071976604,0.0028381876,0.00029449482,0.10926252,0.24457417,0.17176384,0.36633986,0.014443607,0.041770834],"study_design_scores_gemma":[0.012588589,0.0043317843,0.011314563,0.0015831266,0.00051384134,0.007899705,0.32454893,0.38846046,0.031844184,0.094717376,0.11710797,0.0050894576],"about_ca_topic_score_codex":0.0000316508,"about_ca_topic_score_gemma":0.00007562255,"teacher_disagreement_score":0.27162248,"about_ca_system_score_codex":0.00069722644,"about_ca_system_score_gemma":0.00040029935,"threshold_uncertainty_score":0.5309911},"labels":[],"label_agreement":null},{"id":"W4389253009","doi":"10.1016/b978-0-323-90386-8.00080-2","title":"Smart Grids","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Smart grid; Renewable energy; Carbon footprint; Environmental economics; Portfolio; Electricity; Grid; Electric power industry; Electricity generation; Computer science; Engineering; Business; Power (physics); Electrical engineering; Economics; Greenhouse gas; Finance","score_opus":0.0130155973661379,"score_gpt":0.20519846755754242,"score_spread":0.19218287019140454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389253009","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000045761713,0.0009524875,0.000004985754,0.000018640456,0.0031731084,0.00023108834,0.00003901519,0.00095256587,0.99458236],"genre_scores_gemma":[0.00040215792,0.0005384562,0.000047204016,0.00007755912,0.00085160026,0.000024101453,0.000025050684,0.00018352659,0.99785036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876803,0.0000062150966,0.00030398296,0.0002961504,0.00029193275,0.00033370152],"domain_scores_gemma":[0.9992752,0.000055231903,0.0000377493,0.0004708104,0.000031172134,0.00012979949],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000118749886,0.000378782,0.0003837648,0.00016031432,0.00007652237,0.00003819238,0.00031313306,0.0004135727,0.0001889027],"category_scores_gemma":[0.000008303728,0.00037306384,0.00021124423,0.000017071108,0.000105210136,0.000029452925,0.00008875883,0.0006425281,0.0033447198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029384184,0.0000019438446,0.0000037220623,0.0003038619,0.0001368471,0.00014484409,0.0002604305,0.00012294886,0.000041136173,0.010940581,0.005772854,0.9822679],"study_design_scores_gemma":[0.000083268525,0.000016531721,0.000021489905,0.00031509448,0.000041105217,0.000014214876,0.0000035370047,0.00016222628,0.000072871604,0.0066215736,0.9922069,0.00044122076],"about_ca_topic_score_codex":2.2521378e-7,"about_ca_topic_score_gemma":0.000034688288,"teacher_disagreement_score":0.986434,"about_ca_system_score_codex":0.000057191282,"about_ca_system_score_gemma":0.00003331186,"threshold_uncertainty_score":0.99987215},"labels":[],"label_agreement":null},{"id":"W4389383434","doi":"10.1109/tcyb.2023.3332079","title":"Fast Attack Detection for Cyber–Physical Systems Using Dynamic Data Encryption","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Provincial Universities of Zhejiang; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Cyber-physical system; Encryption; Computer science; Computer security; Embedded system; Operating system","score_opus":0.0470069830166304,"score_gpt":0.29324371039225755,"score_spread":0.24623672737562716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389383434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38916025,0.000029944871,0.60744804,0.000010580336,0.0023960765,0.00027584395,0.00020432331,0.00043240126,0.000042568485],"genre_scores_gemma":[0.9989931,0.0001443658,0.00035947142,0.0000049197934,0.00020282464,0.00004359557,0.000040220206,0.000051406878,0.00016010983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897027,0.000024736932,0.00020338225,0.00029021566,0.00020964388,0.00030172968],"domain_scores_gemma":[0.99925387,0.00013612164,0.000026821785,0.0004679914,0.000039970728,0.00007523992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115740804,0.0001725156,0.00016530063,0.00016466908,0.00019430346,0.0000618156,0.00023911285,0.00012647796,0.0000037566901],"category_scores_gemma":[0.0000049780792,0.00018447546,0.00007337895,0.0004349719,0.000048810653,0.00018611601,0.0000025297438,0.0002312886,0.00011321025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011207671,0.000038547045,0.000001019521,0.000094896866,0.00003487418,0.0000016848772,0.00025196403,0.9647168,0.026864005,0.000010039552,0.00010986457,0.007865105],"study_design_scores_gemma":[0.00023312758,0.00006144608,0.000068506255,0.00005131442,0.000063611464,0.000012390648,0.00016358751,0.98858565,0.009301458,0.000025726744,0.0012299336,0.00020326575],"about_ca_topic_score_codex":0.00003381025,"about_ca_topic_score_gemma":0.00016822298,"teacher_disagreement_score":0.6098328,"about_ca_system_score_codex":0.00011657402,"about_ca_system_score_gemma":0.000016536338,"threshold_uncertainty_score":0.7522691},"labels":[],"label_agreement":null},{"id":"W4389387714","doi":"10.1109/smartgridcomm57358.2023.10333907","title":"Detection of Cyber Attacks on Synchro-Phasor Network Targeting Topology Detection Application of Power Distribution Grids","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Phasor; Synchro; Network topology; Computer science; Topology (electrical circuits); Power (physics); Computer network; Electrical engineering; Electric power system; Engineering; Physics","score_opus":0.004499636480759407,"score_gpt":0.21935355176487248,"score_spread":0.21485391528411307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389387714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7803738,0.00005695611,0.21773002,0.00002003727,0.00079961057,0.0001625477,0.000008986596,0.00027277024,0.0005752572],"genre_scores_gemma":[0.99962133,0.00004799419,0.000049353945,0.0000064862593,0.00017478301,0.000026619082,0.00004107477,0.000012686649,0.000019648724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921083,0.000029379462,0.00027182588,0.00015050972,0.00013273266,0.00020474414],"domain_scores_gemma":[0.9996062,0.0000925209,0.000062669205,0.00015184669,0.000055744335,0.000031001604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022573577,0.00009890867,0.00014623239,0.00006759291,0.00007123409,0.0000044397593,0.00007335998,0.00014385818,0.000022717848],"category_scores_gemma":[0.000047639227,0.00009489134,0.00005881426,0.00057510857,0.000052663065,0.00006878626,0.000019385769,0.00013044561,0.000039905968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007560099,0.000051351337,0.0023523984,0.0001528398,0.000052108946,0.0000012142938,0.00023057249,0.43277436,0.53869843,0.0014573724,0.00117573,0.02297802],"study_design_scores_gemma":[0.00025368817,0.0002055476,0.028876951,0.000029958774,0.000017679988,0.000004295145,0.0001622437,0.25955138,0.7065885,0.00033223335,0.0037911583,0.00018633806],"about_ca_topic_score_codex":0.0000551528,"about_ca_topic_score_gemma":0.00007561883,"teacher_disagreement_score":0.21924753,"about_ca_system_score_codex":0.000054227476,"about_ca_system_score_gemma":0.000004757186,"threshold_uncertainty_score":0.38695565},"labels":[],"label_agreement":null},{"id":"W4389508583","doi":"10.1049/gtd2.13072","title":"Guest editorial: Reliability and resilience modelling, assessment, and enhancement of modern power systems with proliferation of grid‐edge resources","year":2023,"lang":"en","type":"editorial","venue":"IET Generation Transmission & Distribution","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Reliability (semiconductor); Interdependence; Electric power system; Grid; Computer science; Distributed generation; Cascading failure; Smart grid; Electricity; Critical infrastructure; Risk analysis (engineering); Enhanced Data Rates for GSM Evolution; Reliability engineering; Computer security; Engineering; Power (physics); Telecommunications; Business; Renewable energy; Electrical engineering","score_opus":0.008505113174645583,"score_gpt":0.2395468240826681,"score_spread":0.2310417109080225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389508583","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040627662,0.0012365208,0.35951185,0.000022363442,0.59700125,0.00061638444,0.00085922837,0.00010676031,0.0000179378],"genre_scores_gemma":[0.5627128,0.004318085,0.0003996726,6.790057e-7,0.42822772,0.00013538032,0.0041006505,0.00005652063,0.000048500267],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729764,0.00013981335,0.0007739564,0.0005155025,0.0010435884,0.00022948174],"domain_scores_gemma":[0.99856603,0.00019489815,0.0002604887,0.00029855166,0.0005574415,0.00012256074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078374625,0.0003219596,0.00048903975,0.00008534887,0.00016357107,0.00008697812,0.00012929189,0.00064631895,0.0000023879618],"category_scores_gemma":[0.000071895396,0.00027386006,0.000049675986,0.00022226678,0.00016101592,0.00025806687,0.000020663992,0.0004225833,4.7692237e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013379553,0.00009085261,0.00005388264,0.0016604014,0.000044069136,9.351233e-7,0.000781664,0.36971676,0.015438902,0.000036461777,0.6118804,0.00016182667],"study_design_scores_gemma":[0.0007675288,0.00047365707,0.00006101883,0.0008686001,0.00011930222,0.0000010089205,0.00006710745,0.7214552,0.014711837,0.000044516346,0.26099744,0.00043272984],"about_ca_topic_score_codex":0.000052972577,"about_ca_topic_score_gemma":0.000012869081,"teacher_disagreement_score":0.52208513,"about_ca_system_score_codex":0.00012113037,"about_ca_system_score_gemma":0.00017587321,"threshold_uncertainty_score":0.99997133},"labels":[],"label_agreement":null},{"id":"W4389722721","doi":"10.1109/tsg.2023.3343100","title":"On the Use of Reinforcement Learning for Attacking and Defending Load Frequency Control","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reinforcement learning; Computer science; Sophistication; Anomaly detection; Computer security; Grid; Process (computing); Reliability (semiconductor); Control (management); Artificial intelligence; Power (physics)","score_opus":0.03901159060105528,"score_gpt":0.23830379074948535,"score_spread":0.19929220014843008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389722721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3789248,0.00004232769,0.61780876,0.00019017799,0.0018709705,0.0005254496,0.00003288964,0.0003094968,0.00029511828],"genre_scores_gemma":[0.99930847,0.00016022386,0.00009702367,0.00006610369,0.00006450311,0.000087899796,0.0000023467824,0.000022328722,0.00019111313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991872,0.000028266166,0.00021328527,0.00014459914,0.0001915407,0.00023514566],"domain_scores_gemma":[0.99881226,0.0009156061,0.00003138344,0.00015693992,0.000038021313,0.000045804878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021668086,0.00012909646,0.00014504402,0.000119027616,0.00028353566,0.00003449934,0.000080751524,0.000060890234,0.000029198203],"category_scores_gemma":[0.00003458076,0.00010234692,0.00008989539,0.00022413355,0.000054342476,0.0001228906,8.048872e-7,0.00024347295,0.000022113793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028210312,0.000009924511,0.00007868658,0.000055245855,0.000055904056,0.0000015082204,0.00043673033,0.99233294,0.0043964097,0.0002668917,0.00084432,0.0014932406],"study_design_scores_gemma":[0.0010773907,0.000329444,0.00058823865,0.0002484356,0.00007799474,0.000006701286,0.00020785554,0.95660526,0.027152818,0.00009838673,0.013298014,0.0003094943],"about_ca_topic_score_codex":0.000036072113,"about_ca_topic_score_gemma":0.000042103104,"teacher_disagreement_score":0.6203837,"about_ca_system_score_codex":0.000054364384,"about_ca_system_score_gemma":0.000015916026,"threshold_uncertainty_score":0.41735864},"labels":[],"label_agreement":null},{"id":"W4389888435","doi":"10.1109/cgee59468.2023.10352032","title":"A Comprehensive Review of Cyber Security Enhancements for PMU Communications in Microgrids","year":2023,"lang":"en","type":"review","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer security; Computer science; Intrusion detection system; Smart grid; Communications system; Cyber-attack; Telecommunications network; Encryption; Authentication (law); Secure communication; Network security; Computer network; Engineering","score_opus":0.10497254259307068,"score_gpt":0.39167871639724694,"score_spread":0.2867061738041763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389888435","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015154812,0.9964882,0.00007133179,0.000021178435,0.00028666502,0.0018762121,0.00018537388,0.00010570905,0.0009638185],"genre_scores_gemma":[0.0000014261782,0.998225,0.00060807465,0.000052874366,0.000031703923,0.00063727045,0.0003191248,0.000045377026,0.00007917725],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984679,0.000084696214,0.00088099955,0.00020304437,0.00012285491,0.00024050883],"domain_scores_gemma":[0.9984106,0.0004806832,0.00012445603,0.0008534824,0.00008665077,0.000044169083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022790121,0.00027099295,0.0014570162,0.00016013705,0.000032388944,0.000008078128,0.00074057863,0.00018061411,0.00003736689],"category_scores_gemma":[0.000050221955,0.00023402218,0.00037608683,0.0006312047,0.00008242612,0.00004648595,0.0001922311,0.00032846167,0.00007629026],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.758571e-7,0.00006180294,6.200219e-7,0.84259385,0.00016314605,0.0000011891565,0.00010567748,0.0000039785473,0.0000016130767,0.0003172897,0.010980408,0.14576985],"study_design_scores_gemma":[0.00007364795,0.000009577455,7.63521e-7,0.1429887,0.0001323618,0.0000025193517,0.000013103732,0.000108695305,0.0000047854573,0.00003866722,0.8564384,0.0001887533],"about_ca_topic_score_codex":0.000022691976,"about_ca_topic_score_gemma":0.000069630885,"teacher_disagreement_score":0.84545803,"about_ca_system_score_codex":0.00007550954,"about_ca_system_score_gemma":0.00006714018,"threshold_uncertainty_score":0.95431477},"labels":[],"label_agreement":null},{"id":"W4390054846","doi":"10.53555/ephijse.v9i3.215","title":"SAFEGUARDING STABILITY: STRATEGIES FOR ADDRESSING DYNAMIC SYSTEM VARIATIONS IN POWER GRID CYBERSECURITY","year":2023,"lang":"en","type":"article","venue":"EPH - International Journal of Science And Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Safeguarding; Computer security; Resilience (materials science); Safeguard; Grid; Smart grid; Compromise; Electric power system; Computer science; Critical infrastructure; Risk analysis (engineering); Power (physics); Engineering; Business; Political science","score_opus":0.014112290285976973,"score_gpt":0.25677181164814267,"score_spread":0.2426595213621657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390054846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978098,0.00016532595,0.01758345,0.00011521501,0.0036410808,0.00007673812,0.0000147202945,0.00008296942,0.00022250421],"genre_scores_gemma":[0.9987434,0.00006258919,0.0010269128,0.000006005997,0.00014534751,0.0000046284804,0.000001376777,0.000008485386,0.0000012626415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892014,0.0000058456544,0.00030497232,0.0001116937,0.00043575597,0.00022161573],"domain_scores_gemma":[0.99946535,0.00011768695,0.000049955146,0.00005978976,0.00023697046,0.00007026425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011074672,0.00008838461,0.00013309906,0.00059462694,0.00008506707,0.00018708064,0.00030106702,0.000036094658,0.000003180724],"category_scores_gemma":[0.00019148187,0.00008427724,0.000041171475,0.0005228269,0.00008011211,0.001013859,0.000041905758,0.00016356156,0.0000013447351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026558464,0.000027964954,0.0010542879,0.00029169966,0.0000800669,0.00008921384,0.00979757,0.8414985,0.12726624,0.01804897,0.00018861727,0.0016302909],"study_design_scores_gemma":[0.00037066863,0.000029390963,0.021854483,0.0004435662,0.000007349504,0.00010387998,0.00671191,0.96827704,0.0011641965,0.00031422888,0.0005577332,0.00016554535],"about_ca_topic_score_codex":0.0000054709935,"about_ca_topic_score_gemma":0.0000074807454,"teacher_disagreement_score":0.12677853,"about_ca_system_score_codex":0.00026878447,"about_ca_system_score_gemma":0.000109209264,"threshold_uncertainty_score":0.3436726},"labels":[],"label_agreement":null},{"id":"W4390422128","doi":"10.1109/jiot.2023.3348590","title":"Multitimescale Control and Communications With Deep Reinforcement Learning—Part I: Communication-Aware Vehicle Control","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Computer science; Reinforcement learning; Control (management); Computer network; Artificial intelligence","score_opus":0.008489308438021075,"score_gpt":0.2202001670619521,"score_spread":0.21171085862393105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390422128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86598647,0.0028168217,0.12387654,0.0022446476,0.000721002,0.00051017595,0.0000070137235,0.0005135493,0.00332375],"genre_scores_gemma":[0.9981997,0.0009963409,0.00030847132,0.000118721066,0.00004347955,0.00001193953,0.0000049990394,0.000019425624,0.00029691687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908906,0.000082787876,0.00033977162,0.000080907135,0.00020605135,0.00020143832],"domain_scores_gemma":[0.99905527,0.00026417486,0.00013342428,0.00031961012,0.00012598872,0.00010152648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039325314,0.00011855891,0.00020561831,0.00010910251,0.00016973839,0.00007640885,0.0005181293,0.00006169077,0.000036112648],"category_scores_gemma":[0.00003620512,0.0001008251,0.000053033018,0.000121114266,0.00020208243,0.00029254463,0.000053366595,0.00061837013,0.000025736988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030614893,0.00012314472,0.024269503,0.00022525399,0.0009633294,0.000042328844,0.024988065,0.91751605,0.010060611,0.0005746306,0.014538477,0.00639244],"study_design_scores_gemma":[0.0015902799,0.00013287555,0.001254166,0.0002716478,0.000039615294,0.000087678774,0.00057207735,0.9898728,0.0011131414,0.000055197444,0.0048721447,0.00013834375],"about_ca_topic_score_codex":0.00004944701,"about_ca_topic_score_gemma":0.000025750258,"teacher_disagreement_score":0.1322132,"about_ca_system_score_codex":0.000036990525,"about_ca_system_score_gemma":0.00001540313,"threshold_uncertainty_score":0.4111528},"labels":[],"label_agreement":null},{"id":"W4390465979","doi":"10.3390/smartcities7010005","title":"Implementation of a Trust-Based Framework for Substation Defense in the Smart Grid","year":2023,"lang":"en","type":"article","venue":"Smart Cities","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Testbed; Modbus; Computer security; Computer science; Emulation; SCADA; IEC 61850; Cyber-attack; Critical infrastructure; Resilience (materials science); Smart grid; Intrusion detection system; Grid; Embedded system; Computer network; Engineering; Communications protocol; Automation","score_opus":0.020373228450346042,"score_gpt":0.2790794257521753,"score_spread":0.25870619730182925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390465979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928535,0.00008163236,0.005568243,0.00026173433,0.0006151894,0.00031737058,0.00007037401,0.00010407831,0.00012785028],"genre_scores_gemma":[0.9988367,0.000036210316,0.0006675648,0.00009422871,0.00010046238,0.00016222236,0.00008039132,0.000012438932,0.000009779947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993668,0.00003082717,0.00019151649,0.00008329347,0.00014250523,0.00018505413],"domain_scores_gemma":[0.99938655,0.00042240944,0.00002638021,0.00012398232,0.00002635944,0.000014325758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018452,0.000078123645,0.00009756376,0.00013275511,0.00005689697,0.000019128902,0.00010414942,0.000050118466,0.000022199247],"category_scores_gemma":[0.000047517,0.000065041466,0.000051465297,0.00035659623,0.000045140987,0.000071476155,0.0000059863587,0.00008362421,0.0000089996565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029515606,0.00013647717,0.4613294,0.003285529,0.00016491115,0.000030352096,0.16334642,0.13949949,0.0032448082,0.1627094,0.052754678,0.013203383],"study_design_scores_gemma":[0.0025086964,0.0003726317,0.6686337,0.0003053253,0.000071999355,0.000004823592,0.12215196,0.084867716,0.0428618,0.057239674,0.020258186,0.0007234896],"about_ca_topic_score_codex":0.00008869937,"about_ca_topic_score_gemma":0.00073448464,"teacher_disagreement_score":0.2073043,"about_ca_system_score_codex":0.000019330273,"about_ca_system_score_gemma":0.000022726408,"threshold_uncertainty_score":0.2652314},"labels":[],"label_agreement":null},{"id":"W4390480762","doi":"10.1109/access.2023.3348549","title":"A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Qatar National Library","keywords":"Computer science; Convolutional neural network; Controller (irrigation); Smart grid; Photovoltaic system; Real-time computing; Deep learning; Voltage; Software deployment; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.03931393187846857,"score_gpt":0.2833904418676625,"score_spread":0.24407650998919392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390480762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1681336,0.0014611306,0.82196677,0.000041973875,0.006579688,0.00045531883,0.00031432186,0.0007890176,0.00025815974],"genre_scores_gemma":[0.9979755,0.000014755005,0.00007187372,0.0000547964,0.00094725756,0.000077779114,0.0008139748,0.00002715977,0.000016860811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986654,0.00006606336,0.00023612472,0.0004194252,0.00027302423,0.00033997913],"domain_scores_gemma":[0.9992756,0.00011282884,0.000019931265,0.0004282387,0.000052138246,0.000111262445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024191116,0.00019727087,0.0001697871,0.00009368057,0.0001282215,0.00040158082,0.0005820858,0.00013181484,0.0000062321215],"category_scores_gemma":[0.000037413563,0.00017320283,0.000045474353,0.0007849125,0.000036178797,0.0004424807,0.000056128938,0.00034663468,0.000058168083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034844383,0.000017769593,0.00019756696,0.00015369181,0.00002874199,0.00000891336,0.00002111981,0.9807125,0.0001466188,0.0001310946,0.017241633,0.0013055594],"study_design_scores_gemma":[0.00013112203,0.000047049,0.0010752677,0.0001649388,0.000021779393,0.000021718328,0.000013269468,0.9909893,0.00038791,0.000018378982,0.006917527,0.00021172132],"about_ca_topic_score_codex":0.00014148267,"about_ca_topic_score_gemma":0.000077526194,"teacher_disagreement_score":0.8298419,"about_ca_system_score_codex":0.0001894479,"about_ca_system_score_gemma":0.000045469475,"threshold_uncertainty_score":0.7063007},"labels":[],"label_agreement":null},{"id":"W4390946721","doi":"10.1145/3640341","title":"Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Sensor Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Anomaly detection; Interpretability; Robustness (evolution); Smart grid; Grid; Distributed computing; Computer security; Artificial intelligence","score_opus":0.00756419617214528,"score_gpt":0.2036340252337383,"score_spread":0.196069829061593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390946721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070794867,0.00053397333,0.98781556,0.000047368954,0.0034528691,0.0002987971,0.000033507655,0.00068488525,0.00005356386],"genre_scores_gemma":[0.9979196,0.0006541137,0.0006865005,0.000011567663,0.0002143559,0.00022163069,0.000044936543,0.000047994236,0.000199252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895567,0.00004043226,0.00024597082,0.00029118874,0.00012984304,0.00033688013],"domain_scores_gemma":[0.9994781,0.00016602472,0.00001546,0.0002597096,0.000019263232,0.00006145264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011867635,0.00018733779,0.0001667531,0.00021042478,0.0001557784,0.000103748964,0.00016507093,0.00016635406,0.0000108184395],"category_scores_gemma":[0.000004393413,0.00019213706,0.00010394176,0.0004993299,0.000015405798,0.00011945002,0.000005099786,0.00036168942,0.000008406615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024318622,0.000019459863,0.000002516214,0.00015991452,0.000075333184,0.000027633165,0.00006556629,0.97502023,0.00027713366,0.00023112164,0.000081918195,0.024014825],"study_design_scores_gemma":[0.00023396476,0.00007437064,0.00006133312,0.00021263237,0.000045688863,0.000021324022,0.0003437423,0.97942734,0.0018905986,0.000116048825,0.017352471,0.00022046332],"about_ca_topic_score_codex":0.000037301903,"about_ca_topic_score_gemma":0.00007088363,"teacher_disagreement_score":0.99084014,"about_ca_system_score_codex":0.00014800314,"about_ca_system_score_gemma":0.0000045494717,"threshold_uncertainty_score":0.7835122},"labels":[],"label_agreement":null},{"id":"W4391016103","doi":"10.1016/j.ijhydene.2024.01.129","title":"A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects","year":2024,"lang":"en","type":"review","venue":"International Journal of Hydrogen Energy","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Smart grid; Computer science; Interoperability; Energy management; Flexibility (engineering); Systems engineering; Risk analysis (engineering); Computer security; Energy (signal processing); Engineering; Business; Electrical engineering; World Wide Web","score_opus":0.017447064246180526,"score_gpt":0.2879508975768171,"score_spread":0.27050383333063655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391016103","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001109384,0.9947549,0.0007118653,0.00022824723,0.0036676347,0.00019787782,0.00013041095,0.00003556932,0.0002623758],"genre_scores_gemma":[0.0002000977,0.9957604,0.0002155533,0.00013745653,0.0033545268,0.00007427356,0.00014749578,0.00007251814,0.000037703663],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99760157,0.00007345733,0.0012453253,0.00029286603,0.0005729527,0.00021380321],"domain_scores_gemma":[0.9983663,0.00012122351,0.00059482385,0.00019090311,0.000605617,0.00012112612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019355613,0.00045935335,0.0014427667,0.00040986482,0.000027020309,0.00003197589,0.00059209816,0.00024422086,0.000014920903],"category_scores_gemma":[0.000036152993,0.00034552286,0.00071263575,0.00018404535,0.000067822635,0.00029232108,0.00008084887,0.00041870883,0.0000021783997],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019710535,0.000041637624,4.1261075e-8,0.03976373,0.0011988037,0.00006417019,0.00008432417,0.00012822346,0.000057465742,0.006140506,0.0016161347,0.95088524],"study_design_scores_gemma":[0.0002003574,0.000114366994,1.10606095e-7,0.060246687,0.0005675085,0.00074245036,0.00001775452,0.0002846605,0.0010651052,0.00089046685,0.93558955,0.00028100613],"about_ca_topic_score_codex":0.000004909208,"about_ca_topic_score_gemma":0.00002718293,"teacher_disagreement_score":0.95060426,"about_ca_system_score_codex":0.00018235954,"about_ca_system_score_gemma":0.00018469867,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W4391019746","doi":"10.1109/cdc49753.2023.10383322","title":"Cyberattack Detection for a Class of Nonlinear Multi-Agent Systems Using Set-Membership Fuzzy Filtering","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ellipsoid; Computer science; Intersection (aeronautics); Nonlinear system; Bounded function; Fuzzy set; Data mining; Fuzzy logic; Set (abstract data type); Algorithm; Control theory (sociology); Artificial intelligence; Mathematics; Control (management); Engineering","score_opus":0.06949324735046992,"score_gpt":0.28894043478515635,"score_spread":0.21944718743468644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391019746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94243693,0.00009843481,0.054543994,0.000008025793,0.0017811343,0.00036374867,0.000028937473,0.00043853384,0.00030027895],"genre_scores_gemma":[0.99682003,0.000021354914,0.0026929236,0.000004992484,0.00021381036,0.000027519767,0.000009033475,0.000029053543,0.00018129977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992499,0.000015693993,0.00023881577,0.00014560863,0.0001000965,0.0002498853],"domain_scores_gemma":[0.999645,0.00007814115,0.000029221746,0.00014934194,0.000043762437,0.00005454873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018230047,0.00011496485,0.00016274168,0.00012148503,0.00007071028,0.000029134495,0.000090906564,0.00009290507,0.0000069412736],"category_scores_gemma":[0.000030088619,0.00010973687,0.00007218646,0.0002947468,0.000020457725,0.00009849263,0.000026248012,0.00008395461,0.000023896926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008902084,0.000010886704,0.00008766052,0.0006725915,0.00003479568,0.0000038474914,0.00046537677,0.8192472,0.17894869,0.00004828981,0.00017019243,0.00030160422],"study_design_scores_gemma":[0.0002544141,0.000022630658,0.00015202924,0.0000689279,0.000010964754,0.0000072208923,0.00056689885,0.9352264,0.062181327,0.0000040266673,0.0013783431,0.00012682364],"about_ca_topic_score_codex":0.000085212516,"about_ca_topic_score_gemma":0.00014159302,"teacher_disagreement_score":0.11676736,"about_ca_system_score_codex":0.000056040986,"about_ca_system_score_gemma":0.000009981427,"threshold_uncertainty_score":0.44749397},"labels":[],"label_agreement":null},{"id":"W4391020409","doi":"10.1109/cdc49753.2023.10383939","title":"The Security Requirement to Prevent Zero Dynamics Attacks and Perfectly Undetectable Cyber-Attacks in Cyber-Physical Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund","keywords":"Unobservable; Covert; Computer science; Computer security; Dependability; Cyber-physical system; Zero (linguistics); Metric (unit); Mathematics; Engineering","score_opus":0.009160103414820849,"score_gpt":0.2444143681846329,"score_spread":0.23525426476981207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391020409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922289,0.00030380618,0.0005307858,0.00032749263,0.00078738865,0.00060114684,0.000012132225,0.0003532493,0.0048551005],"genre_scores_gemma":[0.9986526,0.00026683294,0.000014811882,0.000025490746,0.00011614574,0.000104992745,0.0000059030062,0.00002852782,0.0007847205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985121,0.0000656125,0.00027084022,0.00030174362,0.00030405994,0.0005456769],"domain_scores_gemma":[0.99922526,0.00023415929,0.00002014247,0.0003453289,0.000026749312,0.00014839038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045643907,0.00020708528,0.00023595401,0.00009845342,0.00018487714,0.00013967123,0.00024495466,0.00009060659,0.0000055901123],"category_scores_gemma":[0.00004143202,0.00015374922,0.000048135524,0.0005646137,0.0000580912,0.00012554256,0.0001699724,0.00027712248,0.000108421686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012421324,0.0006814617,0.009730379,0.0016589548,0.00039612493,0.00019865535,0.022672359,0.8325141,0.011900059,0.054482736,0.048795853,0.016845072],"study_design_scores_gemma":[0.00032679367,0.000151006,0.0039305715,0.00015251744,0.000016266493,0.000013212882,0.0019504188,0.98235756,0.0024947987,0.0010706525,0.007080722,0.00045546613],"about_ca_topic_score_codex":0.00025759026,"about_ca_topic_score_gemma":0.0019936804,"teacher_disagreement_score":0.14984344,"about_ca_system_score_codex":0.0002373315,"about_ca_system_score_gemma":0.000020908707,"threshold_uncertainty_score":0.6269711},"labels":[],"label_agreement":null},{"id":"W4391021315","doi":"10.1109/cdc49753.2023.10384292","title":"Stealthy Linear Deception Attacks against Kalman Filtering with Partially Secured Measurements","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Deception; Compromise; Constraint (computer-aided design); Computer science; Network packet; Estimator; Mathematical optimization; Computer security; Control theory (sociology); Engineering; Mathematics; Law; Artificial intelligence","score_opus":0.03488552534091797,"score_gpt":0.2510780507835237,"score_spread":0.21619252544260573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391021315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985497,0.000042186097,0.0067095165,0.0001016498,0.0005604455,0.00021026231,0.000004393656,0.0013143584,0.0055601685],"genre_scores_gemma":[0.99854696,0.00011376251,0.0007213486,0.00010058448,0.00019929296,0.000025169884,0.000029797982,0.000033860313,0.00022922174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893385,0.000020764894,0.00018305315,0.00018999433,0.00031307898,0.000359264],"domain_scores_gemma":[0.99960613,0.000018920484,0.00001927454,0.00020057092,0.000039793133,0.00011529114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016361588,0.00014893178,0.00013152197,0.00009784526,0.0001059381,0.000030974446,0.00013830309,0.00007107699,0.00006497437],"category_scores_gemma":[0.000013120197,0.00012425354,0.000034867848,0.00037642717,0.000026903092,0.00015534226,0.00003120088,0.00014074506,0.00039055673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000712791,0.000052430507,0.011024219,0.00034001798,0.0001410075,0.000056268225,0.0025981213,0.9002166,0.06664185,0.000075060605,0.012159272,0.0066238805],"study_design_scores_gemma":[0.002394508,0.000380517,0.04425555,0.00041689948,0.00004800319,0.000017867153,0.0010878125,0.7895782,0.11509987,0.000048915106,0.045297038,0.0013748186],"about_ca_topic_score_codex":0.000009412119,"about_ca_topic_score_gemma":0.0003439109,"teacher_disagreement_score":0.110638395,"about_ca_system_score_codex":0.00004531196,"about_ca_system_score_gemma":0.000019605599,"threshold_uncertainty_score":0.5066912},"labels":[],"label_agreement":null},{"id":"W4391308095","doi":"10.1109/smc53992.2023.10394306","title":"A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Feature selection; Discriminator; Real-time computing; Computer security; Data mining; Artificial intelligence; Telecommunications; Detector","score_opus":0.01983515862283049,"score_gpt":0.24701456888543902,"score_spread":0.22717941026260852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391308095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38480294,0.000070133414,0.6125823,0.00015229458,0.00041784762,0.00042310616,0.000048032754,0.0011585733,0.00034475655],"genre_scores_gemma":[0.9982088,0.000020771964,0.0012687009,0.000027886603,0.0001805833,0.000040162387,0.00008635738,0.000024900542,0.0001418229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940807,0.000006183123,0.000073458155,0.00023516313,0.000101938276,0.00017517366],"domain_scores_gemma":[0.9995887,0.0001281993,0.000015220263,0.00019204139,0.000028992445,0.000046817648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008307669,0.00010753839,0.00008534247,0.00009987208,0.0001283515,0.00010297518,0.00007894594,0.0001463929,0.000005001598],"category_scores_gemma":[0.00007916931,0.000089452,0.000016312586,0.0005392605,0.00002439363,0.00042598147,0.000012365469,0.00019450697,0.000011280494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005560142,0.000088227236,0.017271062,0.0010016853,0.00019283393,0.000011502425,0.00073595217,0.8877891,0.007417363,0.00044489044,0.031072982,0.0534184],"study_design_scores_gemma":[0.00037852547,0.00025930197,0.006515955,0.0000824558,0.0000222986,0.00003136837,0.00017123084,0.97457194,0.005890775,0.00031366348,0.011526712,0.00023578448],"about_ca_topic_score_codex":0.0000065132017,"about_ca_topic_score_gemma":0.00054088386,"teacher_disagreement_score":0.6134059,"about_ca_system_score_codex":0.00002772636,"about_ca_system_score_gemma":0.000012447158,"threshold_uncertainty_score":0.36477464},"labels":[],"label_agreement":null},{"id":"W4391310127","doi":"10.36227/techrxiv.170654786.60460078/v1","title":"Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical &amp; Quantum Computi","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Quantum; Function (biology); Computer science; Robust optimization; Quantum computer; Mathematical optimization; Distributed computing; Physics; Mathematics; Quantum mechanics; Biology; Cell biology","score_opus":0.019196541518112023,"score_gpt":0.21539177649518015,"score_spread":0.19619523497706814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391310127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014519083,0.0010809881,0.9637087,0.0019515661,0.013940384,0.00043431896,0.00003847235,0.0020738991,0.0022525687],"genre_scores_gemma":[0.9739905,0.0004265677,0.014139898,0.00079454936,0.006513668,0.000072744384,0.0017847733,0.00023605606,0.0020412544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979666,0.00007171343,0.0004442407,0.00064290565,0.00038350173,0.00049105886],"domain_scores_gemma":[0.99903053,0.00012827109,0.000050731673,0.00050051534,0.00012348602,0.00016647665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020520033,0.0004843666,0.00041732067,0.00015741141,0.00013376989,0.0002785688,0.00031819748,0.0008726949,0.0004674306],"category_scores_gemma":[0.000021556718,0.00043704137,0.00022725476,0.00034639504,0.000100246245,0.00007695489,0.00061556295,0.0018092884,0.00037489246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002349694,0.000023444825,0.0000075551707,0.0001831697,0.00015622757,0.0000050599597,0.00011123207,0.89900833,0.000019279534,0.016473172,0.083705395,0.00028363368],"study_design_scores_gemma":[0.00013508995,0.000051329618,0.00008399951,0.00027097575,0.0001134622,0.000012110973,0.00014038487,0.98174804,0.0000037843788,0.004081199,0.012828963,0.00053067727],"about_ca_topic_score_codex":0.0000565596,"about_ca_topic_score_gemma":0.0006374248,"teacher_disagreement_score":0.9594714,"about_ca_system_score_codex":0.0002308036,"about_ca_system_score_gemma":0.00012523218,"threshold_uncertainty_score":0.99980813},"labels":[],"label_agreement":null},{"id":"W4391515290","doi":"10.1016/j.iot.2024.101092","title":"An explainable multi-modal model for advanced cyber-attack detection in industrial control systems","year":2024,"lang":"en","type":"article","venue":"Internet of Things","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Interpretability; Industrial control system; Leverage (statistics); Computer security; Machine learning; Artificial intelligence; Control (management)","score_opus":0.0229601856530095,"score_gpt":0.2619484952400713,"score_spread":0.2389883095870618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391515290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6873224,0.00038995367,0.31005698,0.000010676717,0.0016270062,0.00034393204,0.000011024878,0.00017025713,0.0000677512],"genre_scores_gemma":[0.9991037,0.000008241827,0.00043049938,0.000011029412,0.00011767636,0.0000870455,0.0000035119813,0.000024189598,0.00021411001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925727,0.000015482548,0.00025865328,0.00017490586,0.00010064906,0.00019303295],"domain_scores_gemma":[0.9997246,0.00006905446,0.000024225013,0.00011120529,0.000028629747,0.000042284024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019381357,0.00011248679,0.00018285954,0.00013032841,0.000013919271,0.000057657755,0.00016277321,0.00014799286,0.0000023894222],"category_scores_gemma":[0.000041822095,0.00010879549,0.000056051013,0.00008900752,0.00002150361,0.0005189635,0.000011838988,0.00022653322,0.0000038105902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100271434,0.000030960455,0.0000346322,0.00026969425,0.000026766349,0.0000055832315,0.003773478,0.9585413,0.03375182,0.00019782627,0.00019628719,0.0030713815],"study_design_scores_gemma":[0.00089983025,0.00009342016,0.0000067799333,0.00027097383,0.000008941622,0.0000046446307,0.00020802706,0.9773587,0.020131858,0.0000384332,0.00086313765,0.00011523897],"about_ca_topic_score_codex":0.00024150638,"about_ca_topic_score_gemma":0.00008397231,"teacher_disagreement_score":0.3117813,"about_ca_system_score_codex":0.00009852796,"about_ca_system_score_gemma":0.000016186152,"threshold_uncertainty_score":0.4436551},"labels":[],"label_agreement":null},{"id":"W4391543158","doi":"10.1016/j.segan.2024.101291","title":"Smart grid cyberattack types classification: A fine tree bagging-based ensemble learning approach with feature selection","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feature selection; Ensemble learning; Feature (linguistics); Computer science; Artificial intelligence; Tree (set theory); Smart grid; Selection (genetic algorithm); Machine learning; Pattern recognition (psychology); Data mining; Engineering; Mathematics","score_opus":0.004168001255457918,"score_gpt":0.18373389132799064,"score_spread":0.17956589007253274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391543158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08515104,0.050125986,0.81718063,0.0011338028,0.0017841058,0.0005137952,0.000004289974,0.0029355576,0.041170776],"genre_scores_gemma":[0.9902778,0.00045311655,0.0004716435,0.00004534178,0.0009956551,0.00006904109,0.00008173688,0.000053098764,0.007552543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988454,0.000040701645,0.00013010831,0.0003519786,0.00014776149,0.00048403334],"domain_scores_gemma":[0.9995936,0.00007105932,0.000020254396,0.00013087105,0.00007982465,0.000104380466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016762408,0.00023660198,0.00018977888,0.00014058247,0.0003152432,0.00024559483,0.000086917535,0.00020196757,0.000014358807],"category_scores_gemma":[0.000008668591,0.00019123546,0.00004583844,0.0007694045,0.00006755006,0.00020587827,0.000021989516,0.0005128106,0.0000014218497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004330007,0.000019717974,0.00060323003,0.00028070822,0.000059343416,0.00005066029,0.00011996554,0.9692535,0.000067289635,0.008467477,0.013548098,0.007486741],"study_design_scores_gemma":[0.0001842432,0.00011128618,0.00046340196,0.00007510776,0.000033171007,0.000036791844,0.00025336162,0.82325023,0.00019730245,0.00005416848,0.17509909,0.00024185458],"about_ca_topic_score_codex":0.000058911446,"about_ca_topic_score_gemma":0.00015536133,"teacher_disagreement_score":0.9051268,"about_ca_system_score_codex":0.00009402936,"about_ca_system_score_gemma":0.000076135446,"threshold_uncertainty_score":0.7798356},"labels":[],"label_agreement":null},{"id":"W4391724773","doi":"10.14722/ndss.2024.24267","title":"When Cryptography Needs a Hand: Practical Post-Quantum Authentication for V2V Communications","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Public Works and Government Services Canada; National Science Foundation","keywords":"Computer science; Cryptography; Quantum cryptography; Authentication (law); Computer security; Computer network; Post-quantum cryptography; Quantum; Public-key cryptography; Encryption; Physics; Quantum information; Quantum mechanics","score_opus":0.02268376930492458,"score_gpt":0.2880389535549215,"score_spread":0.2653551842499969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391724773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05033172,0.0042695766,0.9099319,0.021440808,0.001816886,0.0008715641,0.00006688676,0.0018315857,0.009439068],"genre_scores_gemma":[0.9805432,0.00020785003,0.01865431,0.0001251115,0.00010431447,0.00011565796,0.000049368507,0.000023638113,0.0001765775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994683,0.000016421502,0.00015290112,0.000101222555,0.0000930901,0.00016801141],"domain_scores_gemma":[0.9991402,0.00033522065,0.0000079513675,0.00039844197,0.000056133424,0.000062049075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013998018,0.00008818845,0.000079663674,0.00018752267,0.00012794646,0.00016960043,0.00019868578,0.00007270228,0.00007741527],"category_scores_gemma":[0.00005876466,0.00007645188,0.00008884452,0.00026737107,0.00010592576,0.00023007214,0.000038675902,0.00015511666,0.00010006812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119872475,0.00008869732,0.000054354583,0.00027878003,0.0001241803,0.0000016574879,0.0061754235,0.00010948429,0.018039076,0.9243525,0.04846982,0.0022940396],"study_design_scores_gemma":[0.00013377193,0.000059536564,0.00025965265,0.00006270547,0.00006497661,0.000017946144,0.00084377546,0.5872285,0.0021622868,0.014777439,0.39419225,0.00019717349],"about_ca_topic_score_codex":0.000013023956,"about_ca_topic_score_gemma":0.000026964504,"teacher_disagreement_score":0.9302115,"about_ca_system_score_codex":0.000016968597,"about_ca_system_score_gemma":0.000028861843,"threshold_uncertainty_score":0.3117617},"labels":[],"label_agreement":null},{"id":"W4391756312","doi":"10.21203/rs.3.rs-3918353/v1","title":"Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation Ireland; European Commission; Canadian Institute of Steel Construction","keywords":"Reinforcement learning; Residual; Action (physics); Computer science; State (computer science); Controller (irrigation); Artificial intelligence; Control theory (sociology); Reinforcement; Control engineering; Control (management); Engineering; Psychology; Algorithm; Physics; Social psychology","score_opus":0.057857806339268375,"score_gpt":0.37385953716559545,"score_spread":0.3160017308263271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391756312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6874392,0.040289387,0.15274982,0.019073132,0.008500546,0.03825112,0.0020619063,0.005793503,0.045841374],"genre_scores_gemma":[0.99440414,0.0013895474,0.0003066492,0.000027855214,0.0014488816,0.00052414637,0.0002729636,0.0000943811,0.0015314565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970153,0.00026015757,0.0004364636,0.0005648666,0.0008704397,0.00085276173],"domain_scores_gemma":[0.99834085,0.0006701688,0.00006350717,0.00031733816,0.00036289904,0.0002452264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012044387,0.0003600831,0.00057330925,0.0007773829,0.00033561568,0.0005580565,0.00027370852,0.00032846615,0.0001555787],"category_scores_gemma":[0.0005778253,0.00033856215,0.00016582366,0.00032629646,0.0002681092,0.00005699178,0.00043738287,0.0018019011,0.000059212827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009392645,0.000046419096,0.00015309987,0.0077168094,0.0002866514,0.000042002463,0.0021886998,0.961796,0.0019189831,0.0017489903,0.014612699,0.008550369],"study_design_scores_gemma":[0.0023863765,0.00051969395,0.0013193614,0.000868431,0.000039211372,0.0000043021937,0.0010235306,0.8466616,0.001589208,0.0040435186,0.14096221,0.0005825353],"about_ca_topic_score_codex":0.00058228034,"about_ca_topic_score_gemma":0.00044078182,"teacher_disagreement_score":0.3069649,"about_ca_system_score_codex":0.00043992134,"about_ca_system_score_gemma":0.00034061092,"threshold_uncertainty_score":0.99990666},"labels":[],"label_agreement":null},{"id":"W4391811388","doi":"10.3390/en17040878","title":"Cyclic Homomorphic Encryption Aggregation (CHEA)—A Novel Approach to Data Aggregation in the Smart Grid","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communitech; University of Ottawa","funders":"","keywords":"Computer science; Data aggregator; Homomorphic encryption; Smart grid; Encryption; Flexibility (engineering); Distributed computing; Context (archaeology); Computer security; Computer network; Wireless sensor network; Engineering","score_opus":0.03366936089085951,"score_gpt":0.24644795786098228,"score_spread":0.21277859697012277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391811388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968413,0.0045370245,0.018854422,0.0006591673,0.002467334,0.00034545365,0.000042480904,0.00071492826,0.003966172],"genre_scores_gemma":[0.9973214,0.0004163746,0.0013306745,0.000077038116,0.00051965733,0.000064741704,0.00019402879,0.000024920068,0.000051119485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990707,0.000035371657,0.00018592279,0.00027220682,0.00024110358,0.00019467404],"domain_scores_gemma":[0.9993746,0.00009538974,0.000012448447,0.00047366382,0.000012750408,0.000031104504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003885123,0.00013037217,0.00009990394,0.00017271383,0.000069962865,0.00016077023,0.00045105233,0.00007780252,0.000007082352],"category_scores_gemma":[0.00005816992,0.00009991674,0.000027528296,0.000634161,0.000037207134,0.00045783474,0.00006878165,0.0002124782,0.00007313586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018329925,0.00017749296,0.00055179157,0.0005651267,0.000063701,0.000024166651,0.014635726,0.84996074,0.027414441,0.02288632,0.037240986,0.046461154],"study_design_scores_gemma":[0.00024344477,0.000034882363,0.010838696,0.00030081972,0.000027024516,0.00006556864,0.0012058683,0.8600628,0.006726071,0.0006021851,0.119463034,0.00042959972],"about_ca_topic_score_codex":0.00010841773,"about_ca_topic_score_gemma":0.00015440775,"teacher_disagreement_score":0.08222205,"about_ca_system_score_codex":0.00004988851,"about_ca_system_score_gemma":0.000019619176,"threshold_uncertainty_score":0.40744862},"labels":[],"label_agreement":null},{"id":"W4391827248","doi":"10.1109/mie.2023.3321390","title":"Synergies of Operation, Information, and Communication Technology for Solving New Societal and Industrial Challenges: Future Directions","year":2024,"lang":"en","type":"article","venue":"IEEE Industrial Electronics Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Virtualization; Automation; Sustainability; Information and Communications Technology; Information technology; Computer science; Business; Engineering; Engineering management; Risk analysis (engineering); Cloud computing","score_opus":0.01888292285868805,"score_gpt":0.23480376590481233,"score_spread":0.21592084304612427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391827248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61055446,0.34561223,0.0075383903,0.024411768,0.0067473277,0.0022864,0.00014800181,0.0016236639,0.0010777677],"genre_scores_gemma":[0.92654765,0.07067129,0.0005661887,0.000021198,0.0018990489,0.00008160579,0.00006281706,0.000034147626,0.00011607573],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992404,0.000014591229,0.00031552496,0.00012446084,0.00009424254,0.00021080414],"domain_scores_gemma":[0.9995737,0.00012097293,0.000041543266,0.00015237194,0.000063571926,0.00004783916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021059667,0.00013643412,0.00018671663,0.00020501633,0.00013431026,0.00009103455,0.00011870235,0.00042403178,0.0000051840434],"category_scores_gemma":[0.000090941816,0.00013422496,0.00003477342,0.0003118207,0.000094135066,0.0005275039,0.000029324316,0.00052477396,0.0000023604573],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118351454,0.000050930365,0.00007435658,0.00047319348,0.0005161557,0.0000011176826,0.007048592,0.01030913,0.0116634425,0.09784101,0.08472363,0.7871801],"study_design_scores_gemma":[0.001587937,0.00030100998,0.00002826825,0.0001907331,0.000095260475,0.000042165855,0.0009273545,0.033474,0.0065146503,0.003150072,0.95337474,0.00031378976],"about_ca_topic_score_codex":0.000009625128,"about_ca_topic_score_gemma":0.00010974292,"teacher_disagreement_score":0.86865115,"about_ca_system_score_codex":0.00006598292,"about_ca_system_score_gemma":0.00022137535,"threshold_uncertainty_score":0.5473535},"labels":[],"label_agreement":null},{"id":"W4391924590","doi":"10.1109/oncon60463.2023.10430425","title":"Cyber Attack-Aware Security Hardening of Time Synchronization Technologies in WAMPAC Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Public Safety Canada","keywords":"Synchronization (alternating current); Computer science; Computer security; Time synchronization; Hardening (computing); Real-time computing; Computer network; Materials science","score_opus":0.008275835800792984,"score_gpt":0.21695420170155041,"score_spread":0.20867836590075742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391924590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99101764,0.00054913753,0.0020294904,0.000071247094,0.00039482105,0.00021325686,0.000011738663,0.002233295,0.003479361],"genre_scores_gemma":[0.9994796,0.00020195209,0.000029131306,0.0000012701212,0.000023299493,0.00001231889,0.000012973127,0.0000134340335,0.00022601636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934095,0.000013554098,0.00019624569,0.000118640084,0.00013316602,0.00019744798],"domain_scores_gemma":[0.99971986,0.000053224438,0.000019786074,0.00016353877,0.000027499029,0.000016080425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302794,0.00009085262,0.0001611143,0.00019712765,0.000025870024,0.000015921742,0.00014026859,0.00012987571,0.0000315566],"category_scores_gemma":[0.000047878828,0.000082783656,0.000024643616,0.0006997511,0.00004377801,0.00011259123,0.00005389691,0.00012380705,0.0001790203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043954333,0.00002553427,0.017093096,0.00076537835,0.000033411143,0.000033495606,0.0020271633,0.9582474,0.0036742028,0.0006409869,0.01653948,0.00091541547],"study_design_scores_gemma":[0.00014249656,0.000013989544,0.0014041003,0.0001830691,0.0000036885353,0.0000049926257,0.0019782027,0.98909307,0.0058951806,0.00007281721,0.0010497824,0.00015864051],"about_ca_topic_score_codex":0.000036214195,"about_ca_topic_score_gemma":0.000041880096,"teacher_disagreement_score":0.0308456,"about_ca_system_score_codex":0.00004676022,"about_ca_system_score_gemma":0.000010232507,"threshold_uncertainty_score":0.33758196},"labels":[],"label_agreement":null},{"id":"W4391929903","doi":"10.1109/oncon60463.2023.10430902","title":"Detection and Mitigation of False Data Injection Attacks on Wide Area Damping Controllers","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Public Safety Canada","keywords":"Computer science; Control theory (sociology); Computer security; Control (management); Artificial intelligence","score_opus":0.023953684300858865,"score_gpt":0.24173871105762224,"score_spread":0.21778502675676337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391929903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98922384,0.000038772854,0.008993266,0.000050934595,0.00036979697,0.00010389761,0.000008338169,0.00024552186,0.00096562103],"genre_scores_gemma":[0.9997418,0.000103984974,0.00003118464,0.00001955286,0.000034848494,0.000003919094,0.00002207795,0.0000070448264,0.00003557087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995746,0.000012228464,0.00011305744,0.00012149612,0.00008942591,0.00008916676],"domain_scores_gemma":[0.9996612,0.000111551715,0.00001718255,0.00017061096,0.000013858775,0.000025604606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398387,0.00005796368,0.00007994163,0.00010515809,0.000047758396,0.000013281224,0.000061718296,0.00004798808,0.0000053404187],"category_scores_gemma":[0.000081583225,0.00005386677,0.000011777745,0.00020735373,0.000024434165,0.00016553637,0.00002585721,0.00006927483,0.0000105970985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018200002,0.00004180882,0.013472876,0.0004133572,0.000154784,0.000008415451,0.0016502102,0.6771244,0.25527093,0.00040083213,0.006566239,0.044714145],"study_design_scores_gemma":[0.0004315838,0.00007955856,0.026393775,0.000057872134,0.000011263133,0.0000039590986,0.0004348135,0.9317167,0.039786723,0.00013359736,0.0008370304,0.00011313417],"about_ca_topic_score_codex":0.000027945756,"about_ca_topic_score_gemma":0.00018952419,"teacher_disagreement_score":0.2545923,"about_ca_system_score_codex":0.000014209528,"about_ca_system_score_gemma":0.0000036449962,"threshold_uncertainty_score":0.21966231},"labels":[],"label_agreement":null},{"id":"W4391929906","doi":"10.1109/oncon60463.2023.10431170","title":"Cybersecurity Vulnerabilities in Phase-Locked Loop (PLL) of DFIG-Based Wind Power Plants","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phase-locked loop; Loop (graph theory); Doubly fed electric machine; Wind power; Locked-in syndrome; Power (physics); Phase (matter); Computer science; Electrical engineering; AC power; Engineering; Voltage; Physics; Phase noise","score_opus":0.012377428063851227,"score_gpt":0.24451216464694084,"score_spread":0.2321347365830896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391929906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952992,0.000094517054,0.0000673229,0.000057563804,0.00043132028,0.00014780124,0.000048242415,0.00032420602,0.0035297954],"genre_scores_gemma":[0.9996488,0.000025863143,0.000051809126,0.000034619254,0.00002626082,0.000007190382,0.00002111767,0.000016592734,0.00016771797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898547,0.000032566055,0.0002888706,0.00017106021,0.00020958539,0.00031245276],"domain_scores_gemma":[0.9994712,0.00019346309,0.000018879304,0.00023065394,0.000020589077,0.00006520751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023216578,0.00014038949,0.00023327256,0.00022524575,0.00003138764,0.000011408362,0.00016634552,0.000104722065,0.00036091325],"category_scores_gemma":[0.000056688557,0.00012970448,0.00005917965,0.00041537933,0.00009405888,0.00010307183,0.000025167375,0.00018867939,0.00008773031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006724234,0.0022939702,0.08539608,0.002455814,0.00029024915,0.000608433,0.040431887,0.65393496,0.14370723,0.0070764283,0.059613492,0.003519047],"study_design_scores_gemma":[0.008391787,0.00053791486,0.04394891,0.00044318222,0.000021334807,0.000012184405,0.009022437,0.47629935,0.44981262,0.0017782708,0.008336897,0.0013951373],"about_ca_topic_score_codex":0.00011275288,"about_ca_topic_score_gemma":0.00025882787,"teacher_disagreement_score":0.30610538,"about_ca_system_score_codex":0.000034015782,"about_ca_system_score_gemma":0.000030595278,"threshold_uncertainty_score":0.5289195},"labels":[],"label_agreement":null},{"id":"W4392187916","doi":"10.1109/tsg.2024.3370892","title":"Securing Power System Data in Motion by Timestamped Digital Text Watermarking","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Science and Engineering Research Board","keywords":"Digital watermarking; Computer science; Power (physics); Motion (physics); Digital Watermarking Alliance; Computer vision; Artificial intelligence; Computer graphics (images); Physics","score_opus":0.008833402488013991,"score_gpt":0.20886821165062863,"score_spread":0.20003480916261465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392187916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5190061,0.00092177896,0.45567644,0.00022354392,0.014708767,0.0005225638,0.0013755469,0.0023456272,0.0052196356],"genre_scores_gemma":[0.99939567,0.000075047756,0.000034178243,0.000011422532,0.00013857997,0.00002309732,0.00007306535,0.000050407394,0.00019853708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998684,0.000024834058,0.00030401148,0.0004049994,0.00024079246,0.00034135193],"domain_scores_gemma":[0.99931425,0.00008765861,0.0000118873595,0.00048630813,0.000011860735,0.0000880075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016830387,0.00021855172,0.00017898736,0.0002486723,0.000105055406,0.00025029902,0.0003065471,0.00012069765,0.00005757083],"category_scores_gemma":[0.000002235625,0.00021046384,0.00006616172,0.0003709798,0.000038777394,0.00091482,0.0000045741917,0.00045226127,0.00034693722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002563325,0.0010908083,0.0007947078,0.006195482,0.00095178816,0.0014137042,0.01255148,0.7233526,0.056745585,0.00026947475,0.06725309,0.12912491],"study_design_scores_gemma":[0.00066227117,0.00008405689,0.0002723313,0.0015073537,0.00006179772,0.00022170132,0.00069478597,0.8916119,0.038735956,0.000018068597,0.065176405,0.0009533765],"about_ca_topic_score_codex":0.000028381672,"about_ca_topic_score_gemma":0.000030007945,"teacher_disagreement_score":0.48038957,"about_ca_system_score_codex":0.00016681373,"about_ca_system_score_gemma":0.000019114657,"threshold_uncertainty_score":0.8582467},"labels":[],"label_agreement":null},{"id":"W4392309528","doi":"10.1109/tii.2024.3363091","title":"Resilient Control of CPSs Under Mixed DoS Attacks: A Type-Dependent ADT Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science","score_opus":0.030739795497761548,"score_gpt":0.2400583898874076,"score_spread":0.20931859438964606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392309528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075133756,0.00017160023,0.9140817,0.00005577682,0.006477094,0.0005654908,0.00017412755,0.00043106417,0.0029094182],"genre_scores_gemma":[0.99921256,0.00009255318,0.000271541,0.000035619007,0.00015839841,0.000030527375,0.000007310227,0.000024781588,0.00016667994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860686,0.0000325918,0.0006308723,0.00010170711,0.00036485022,0.000263103],"domain_scores_gemma":[0.9993704,0.0001610739,0.00004356399,0.00026791848,0.0000518036,0.000105238265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023534537,0.00019871444,0.00025974106,0.00025507633,0.000080801474,0.000073991025,0.0001917725,0.00031078578,0.00006426127],"category_scores_gemma":[0.000007850249,0.00017525702,0.00012545598,0.00049035443,0.00008082288,0.00028935887,0.0000013949561,0.0007133126,0.0001333825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007501926,0.00008076206,0.0000021398696,0.00021749406,0.00018550789,0.000001939014,0.0012916009,0.99093467,0.0003167168,0.00026379002,0.0022858144,0.00434455],"study_design_scores_gemma":[0.0023114397,0.0003246204,0.000011121751,0.00035521504,0.00022643678,0.000040394087,0.0024974076,0.9463426,0.040176664,0.00007555332,0.007143726,0.0004948132],"about_ca_topic_score_codex":0.000013427731,"about_ca_topic_score_gemma":0.000008193755,"teacher_disagreement_score":0.9240788,"about_ca_system_score_codex":0.00011813941,"about_ca_system_score_gemma":0.00010327082,"threshold_uncertainty_score":0.7146774},"labels":[],"label_agreement":null},{"id":"W4392309549","doi":"10.1109/tac.2024.3371895","title":"Distributed Model Predictive Consensus of MASs Against False Data Injection Attacks and Denial-of-Service Attacks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Denial-of-service attack; Computer security; Denial; Computer science; The Internet; Psychology","score_opus":0.016103023367776484,"score_gpt":0.24692251018145195,"score_spread":0.23081948681367548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392309549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24941531,0.00031513697,0.7466808,0.00014036984,0.00056220713,0.0003384305,0.0021288164,0.0003521015,0.000066834706],"genre_scores_gemma":[0.9992367,0.000076072174,0.00053708197,0.000030405972,0.000026067644,0.00003188014,0.000026167687,0.000025233747,0.000010400512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885315,0.00004851377,0.00043157497,0.00025890296,0.00022163375,0.00018623301],"domain_scores_gemma":[0.9989767,0.00039238282,0.000048024922,0.00043256086,0.00007190739,0.00007841833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017905307,0.00018724155,0.00032463038,0.00016533569,0.000067774046,0.000030316181,0.00019217099,0.00013520427,0.000013883828],"category_scores_gemma":[0.000015179846,0.00017879005,0.00006417447,0.00035038692,0.00009964707,0.00015811439,0.0000024529024,0.00021772194,0.000007783806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053087744,0.000059777823,0.000012703454,0.00072584255,0.00029605697,0.0000065494405,0.0005649032,0.9767307,0.013835292,0.00001767697,0.00024592364,0.0074514938],"study_design_scores_gemma":[0.0007675003,0.00007113986,0.00013555272,0.0003101698,0.0002221524,0.000015280817,0.00015554513,0.9935768,0.004489774,0.00007331853,0.000032722008,0.00015000612],"about_ca_topic_score_codex":0.00003118046,"about_ca_topic_score_gemma":0.00012617759,"teacher_disagreement_score":0.74982136,"about_ca_system_score_codex":0.000051869083,"about_ca_system_score_gemma":0.00007085743,"threshold_uncertainty_score":0.7290847},"labels":[],"label_agreement":null},{"id":"W4392355386","doi":"10.18280/ria.380129","title":"Securing Cyber Physical System Using Machine Learning: A Survey on Attack Resistant Algorithms","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cyber-physical system; Machine learning; Computer security; Algorithm; Artificial intelligence; Operating system","score_opus":0.049585215228803124,"score_gpt":0.2834013393211677,"score_spread":0.23381612409236455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392355386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95739496,0.0026521713,0.033286992,0.000039505798,0.002103144,0.00028364937,0.000059254915,0.0011448197,0.0030355086],"genre_scores_gemma":[0.99865186,0.00009435632,0.00017565432,0.0000073631177,0.0004225933,0.0000101548,0.00001967216,0.00006727276,0.00055107597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833226,0.000112036214,0.0003701187,0.0004630201,0.0002613315,0.0004612506],"domain_scores_gemma":[0.99907756,0.0003710827,0.000029601988,0.00034474718,0.000048679176,0.00012830127],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004945795,0.00027427525,0.00029296623,0.00016392591,0.00020302371,0.00017088662,0.00025842158,0.00010389248,0.000044329354],"category_scores_gemma":[0.00007098059,0.00025434964,0.00014409452,0.00068650965,0.000076586846,0.00013418899,0.000059379494,0.0006203838,0.00077234633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023114826,0.000052903135,0.00015482435,0.0005710038,0.00004670404,0.00015566146,0.0022053062,0.9835553,0.009415894,0.0014198677,0.0002305952,0.0021687828],"study_design_scores_gemma":[0.000018314457,0.00007291653,0.000082279425,0.00069714745,0.000016442014,0.000032291773,0.00035153574,0.9502228,0.04308385,0.000025524168,0.005101859,0.0002950524],"about_ca_topic_score_codex":0.00019193612,"about_ca_topic_score_gemma":0.00007085916,"teacher_disagreement_score":0.041256905,"about_ca_system_score_codex":0.00020327898,"about_ca_system_score_gemma":0.000025861325,"threshold_uncertainty_score":0.9999909},"labels":[],"label_agreement":null},{"id":"W4392370783","doi":"10.1002/net.22215","title":"New approximations for network reliability","year":2024,"lang":"en","type":"article","venue":"Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Computer science; Mathematical optimization; Mathematics; Physics","score_opus":0.005889379222958262,"score_gpt":0.2123280333768972,"score_spread":0.20643865415393894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392370783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012711176,0.0060978234,0.98338217,0.00018754661,0.0038822568,0.00025166254,0.0000039623696,0.0007953999,0.004128083],"genre_scores_gemma":[0.95865536,0.0004589255,0.03029396,0.00011590879,0.008516809,0.00011582587,0.000040036204,0.00006226436,0.0017409282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941486,0.0000073690744,0.00012813348,0.00014336474,0.00005949516,0.00024674908],"domain_scores_gemma":[0.99957883,0.0001709878,0.0000047319663,0.00016106333,0.000012112816,0.000072284354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014758905,0.000085273896,0.000086793276,0.00001844132,0.00006759441,0.000064387874,0.000097413424,0.00010027945,0.000059608396],"category_scores_gemma":[0.000013668723,0.000077935714,0.00007020871,0.00024938319,0.000016562351,0.00009136463,0.000013424237,0.00017437796,0.000026266525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017444735,0.0000017963425,0.00003464167,0.000059169735,0.000008970407,6.1675684e-7,0.00006176284,0.7539032,0.00000259588,0.005365426,0.2272778,0.013282234],"study_design_scores_gemma":[0.00003827178,0.000007826468,0.00013807967,0.000038826834,0.000007664892,0.0000016254768,0.0000037827613,0.7229065,0.000008970353,0.0043026255,0.27247253,0.00007332236],"about_ca_topic_score_codex":0.0000037856835,"about_ca_topic_score_gemma":0.000014303114,"teacher_disagreement_score":0.9573842,"about_ca_system_score_codex":0.000027684859,"about_ca_system_score_gemma":0.000019476402,"threshold_uncertainty_score":0.31781262},"labels":[],"label_agreement":null},{"id":"W4392389627","doi":"10.1109/isgt59692.2024.10454181","title":"Mitigating False Data Injection Attacks on Inverter Set Points in a 100% Inverter-Based Microgrid","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Solar Energy Technologies Office; Manitoba Hydro; Office of Energy Efficiency and Renewable Energy; National Science Foundation","keywords":"Microgrid; Inverter; Computer science; Set (abstract data type); Electronic engineering; Electrical engineering; Engineering; Voltage; Artificial intelligence","score_opus":0.036559850858890956,"score_gpt":0.278427481610491,"score_spread":0.24186763075160006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392389627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937019,0.00042454043,0.0014997467,0.00047194058,0.0013881852,0.00019628434,0.000068389425,0.0006242312,0.0016248064],"genre_scores_gemma":[0.998446,0.000029930201,0.0003674984,0.000754709,0.00016765845,0.000011631584,0.00013037774,0.000031501346,0.000060695675],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892175,0.000038565093,0.00024038009,0.00036157595,0.00016489229,0.0002728285],"domain_scores_gemma":[0.99936175,0.00011042613,0.00001020685,0.00043648636,0.000010486535,0.0000706495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022855811,0.00017114356,0.00014163827,0.00023578065,0.000040032075,0.00011415755,0.00028498235,0.000116527386,0.000112898866],"category_scores_gemma":[0.0000375338,0.0001532145,0.00003858622,0.0004092071,0.000038409347,0.00032320528,0.00007566083,0.00037159052,0.00031714898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015472955,0.00053113775,0.049242184,0.004342965,0.00037127847,0.0009958555,0.011874867,0.105381235,0.096854255,0.0009997656,0.5552496,0.17400217],"study_design_scores_gemma":[0.00026109105,0.00005583623,0.0009832648,0.00042782267,0.000008020409,0.000017051212,0.00015639965,0.97686255,0.01166611,0.000093722956,0.00922593,0.00024219677],"about_ca_topic_score_codex":0.00016085235,"about_ca_topic_score_gemma":0.000793127,"teacher_disagreement_score":0.8714813,"about_ca_system_score_codex":0.00008452993,"about_ca_system_score_gemma":0.000034157216,"threshold_uncertainty_score":0.6247906},"labels":[],"label_agreement":null},{"id":"W4392398487","doi":"10.1016/b978-0-443-22187-3.00002-3","title":"Cyber-physical security in a stand-alone photovoltaic system for rural electrification","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrification; Rural electrification; Photovoltaic system; Cyber-physical system; Computer security; Computer science; Engineering; Electrical engineering; Operating system; Electricity","score_opus":0.006974029905366984,"score_gpt":0.2149914598106539,"score_spread":0.2080174299052869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392398487","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010169913,0.0073077003,0.000030304514,0.000013577102,0.0014622863,0.0018531986,0.00022348479,0.0006544657,0.9782851],"genre_scores_gemma":[0.5700861,0.00023185667,0.000038997234,0.000014589156,0.0009888626,0.00040865067,0.00008278719,0.00020834919,0.42793977],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845123,0.000012082452,0.00044522202,0.00039690678,0.00028284307,0.00041169394],"domain_scores_gemma":[0.99929523,0.00009245699,0.000064338565,0.0003873175,0.000056607212,0.00010403534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019096686,0.00044921454,0.00061853655,0.00024675496,0.0000611025,0.00006857083,0.0002485766,0.00038917077,0.0000073569922],"category_scores_gemma":[0.000007365396,0.0004374531,0.00027931604,0.000043785636,0.000071113056,0.00005334262,0.000026016725,0.0007677798,0.0001429698],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037345217,0.0001242674,0.000013899704,0.030195603,0.0011306328,0.0003888894,0.020443514,0.000654424,0.038285177,0.19355477,0.0024972446,0.7123381],"study_design_scores_gemma":[0.0007164512,0.00012958811,0.000011078875,0.0037521238,0.00023585377,0.000050504827,0.00012241403,0.02542053,0.0074888235,0.027109575,0.93379015,0.0011729387],"about_ca_topic_score_codex":0.000002124284,"about_ca_topic_score_gemma":0.000082074854,"teacher_disagreement_score":0.9312929,"about_ca_system_score_codex":0.00043990609,"about_ca_system_score_gemma":0.00006694753,"threshold_uncertainty_score":0.9998077},"labels":[],"label_agreement":null},{"id":"W4392693571","doi":"10.1109/ojits.2024.3376583","title":"Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Intelligent Transportation Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Traffic signal; Graph; Control (management); Artificial intelligence; Theoretical computer science; Real-time computing","score_opus":0.029146145329611836,"score_gpt":0.2684670140467207,"score_spread":0.23932086871710884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392693571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1164308,0.0013231107,0.8793353,0.00003021929,0.0020751297,0.0006521684,0.000015599593,0.00004799018,0.000089691406],"genre_scores_gemma":[0.99921304,0.000088723136,0.00028408645,0.000017296954,0.00021920048,0.000056073426,0.000013037216,0.00003104939,0.000077483746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984836,0.00003720317,0.0008408271,0.00013571345,0.00031160357,0.00019105624],"domain_scores_gemma":[0.99930036,0.0001398873,0.00013637268,0.00006889817,0.00024318314,0.00011128524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006416977,0.00016483798,0.00032392083,0.0002437204,0.00007809078,0.0002119426,0.00028743155,0.00008666475,0.000020535712],"category_scores_gemma":[0.000005935556,0.00013849586,0.00021418264,0.00020136699,0.000029458099,0.00042701382,7.541229e-7,0.00031447792,0.000006247554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012719861,0.000018406785,0.00002882253,0.00033348822,0.00024220654,0.000022705024,0.0020532403,0.9929943,0.0022746935,0.00037987067,0.0004496918,0.0010753523],"study_design_scores_gemma":[0.00055306667,0.00026326932,0.00001371481,0.00071828294,0.00010181621,0.000011171345,0.0008917287,0.9877617,0.0070658317,0.000038950195,0.002411184,0.00016933081],"about_ca_topic_score_codex":0.000010073722,"about_ca_topic_score_gemma":0.000016091548,"teacher_disagreement_score":0.8827822,"about_ca_system_score_codex":0.00008446055,"about_ca_system_score_gemma":0.0001289951,"threshold_uncertainty_score":0.5647697},"labels":[],"label_agreement":null},{"id":"W4392729593","doi":"10.1111/exsy.13556","title":"Classification of intrusion cyber‐attacks in smart power grids using deep ensemble learning with metaheuristic‐based optimization","year":2024,"lang":"en","type":"article","venue":"Expert Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Metaheuristic; Intrusion detection system; Intrusion; Smart grid; Artificial intelligence; Machine learning; Ensemble learning; Data mining","score_opus":0.014318796417593085,"score_gpt":0.24480556212480067,"score_spread":0.23048676570720758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392729593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38514403,0.005385804,0.6056641,0.00002592075,0.0015670984,0.00030550626,0.0000018425557,0.00027623482,0.0016294804],"genre_scores_gemma":[0.99777603,0.000054330474,0.001953412,0.000004962134,0.00009835906,0.00002635448,0.000015355381,0.000036669266,0.00003455544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897736,0.00008481904,0.00032099796,0.00020859917,0.00022889861,0.0001793077],"domain_scores_gemma":[0.99961007,0.000091871196,0.000041986852,0.0001622248,0.000050439427,0.000043383297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023647999,0.00014226588,0.00021144247,0.00023322493,0.000053053485,0.00006499674,0.00008604302,0.00010732442,0.000020984802],"category_scores_gemma":[0.00003284648,0.00011956467,0.000034639197,0.0004489456,0.000033567627,0.00017928441,0.0000119955275,0.00018384676,0.0000075916864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013328569,0.00001650309,0.00097160327,0.00019904859,0.00001720747,0.000013168287,0.0017625879,0.9755928,0.021023057,0.00017848356,0.00008160042,0.00013061416],"study_design_scores_gemma":[0.00015718058,0.00004061091,0.00038995754,0.0005919839,0.0000088633615,0.000014465184,0.0007555353,0.99319243,0.0026555452,0.000001235738,0.0020403839,0.0001518126],"about_ca_topic_score_codex":0.00016240742,"about_ca_topic_score_gemma":0.000027312157,"teacher_disagreement_score":0.612632,"about_ca_system_score_codex":0.00012505527,"about_ca_system_score_gemma":0.00003526122,"threshold_uncertainty_score":0.48757055},"labels":[],"label_agreement":null},{"id":"W4392943680","doi":"10.1109/icmla58977.2023.00058","title":"Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reinforcement learning; Reinforcement; Computer science; Supply chain; Chain (unit); Control (management); Voltage; Automatic frequency control; Artificial intelligence; Control theory (sociology); Electrical engineering; Engineering; Telecommunications; Business; Physics; Structural engineering","score_opus":0.007953094689380094,"score_gpt":0.21608930222008826,"score_spread":0.20813620753070816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392943680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8030603,0.0006189409,0.17261864,0.00047711426,0.000991213,0.0010854228,0.000014920745,0.0019228979,0.01921056],"genre_scores_gemma":[0.9974736,0.0002567024,0.00010034113,0.00010040241,0.00011102215,0.000059477523,0.000024226023,0.000017198112,0.0018570109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993732,0.0000063272787,0.00013844154,0.00012279794,0.00008831264,0.00027092232],"domain_scores_gemma":[0.9997115,0.0001080835,0.000011761965,0.00008486894,0.000017433695,0.00006634751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016951405,0.00009884355,0.00011562363,0.0000717045,0.000106577325,0.000029137838,0.00006802133,0.00005675892,0.00003734056],"category_scores_gemma":[0.000050614442,0.00008891484,0.000035676167,0.00011850885,0.000026296148,0.00008174854,0.000016236421,0.00010840402,0.000046042533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016262793,0.00000791866,0.0085954545,0.0003211538,0.00007778511,0.000019874753,0.0014954256,0.91957194,0.04447441,0.005990471,0.013276509,0.0061527863],"study_design_scores_gemma":[0.0009216828,0.00007601014,0.0029295075,0.00003053241,0.000008181052,0.0000016385541,0.00034164276,0.97111595,0.0022303776,0.00016566379,0.02196344,0.00021539502],"about_ca_topic_score_codex":0.0000111056315,"about_ca_topic_score_gemma":0.000015754176,"teacher_disagreement_score":0.19441333,"about_ca_system_score_codex":0.000017993994,"about_ca_system_score_gemma":0.0000068769377,"threshold_uncertainty_score":0.3625842},"labels":[],"label_agreement":null},{"id":"W4393058755","doi":"10.1016/j.apenergy.2024.122972","title":"Grid Chaos: An uncertainty-conscious robust dynamic EV load-altering attack strategy on power grid stability","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Power grid; Grid; CHAOS (operating system); Stability (learning theory); Control theory (sociology); Dynamic demand; Power (physics); Computer science; Physics; Mathematics; Computer security; Control (management); Artificial intelligence","score_opus":0.015475016028369024,"score_gpt":0.23116335061068954,"score_spread":0.2156883345823205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393058755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97546047,0.0009188976,0.002233618,0.000058426776,0.0034084164,0.00017291514,0.00006396521,0.0013719369,0.016311377],"genre_scores_gemma":[0.9988564,0.00022246322,0.00008242357,0.00009292913,0.0004575319,0.000070981245,0.00007485396,0.0000786163,0.00006379659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980365,0.000030576026,0.00033879577,0.00063245685,0.0003599593,0.0006017352],"domain_scores_gemma":[0.9990507,0.00010027661,0.000023229575,0.00058347476,0.00003191292,0.00021044337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021735976,0.00037680514,0.0002936137,0.00011866824,0.00012744807,0.00016287321,0.00034446962,0.0001972218,0.00033394093],"category_scores_gemma":[0.000007807033,0.00035328374,0.000095464486,0.00033906207,0.00012306766,0.0001730105,0.000047278245,0.00040032956,0.00015369088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036498244,0.00007351865,0.0000052298524,0.00014176086,0.000056787605,0.000053063384,0.0006636008,0.97080344,0.014977833,0.00647782,0.001006451,0.0057039713],"study_design_scores_gemma":[0.00085222034,0.0004695933,0.0007801225,0.00025192345,0.000063452724,0.00006182736,0.0016158546,0.84832704,0.031662073,0.0016762629,0.11222249,0.0020171565],"about_ca_topic_score_codex":0.00019491796,"about_ca_topic_score_gemma":0.0011414236,"teacher_disagreement_score":0.12247645,"about_ca_system_score_codex":0.00037425093,"about_ca_system_score_gemma":0.00009289565,"threshold_uncertainty_score":0.99989194},"labels":[],"label_agreement":null},{"id":"W4393125448","doi":"10.1016/j.epsr.2024.110321","title":"A cyberattack resilient model for battery electric bus transit fleets using real-time adaptive system information","year":2024,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McMaster University; York University","funders":"Natural Resources Canada","keywords":"Battery (electricity); Transit (satellite); Computer science; Computer security; Automotive engineering; Real-time computing; Engineering; Public transport; Transport engineering; Power (physics)","score_opus":0.033632005262661566,"score_gpt":0.29400239435063613,"score_spread":0.26037038908797455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393125448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34219575,0.0135822445,0.6226412,0.00008327615,0.002447033,0.0048651537,0.00012902262,0.0019413985,0.012114902],"genre_scores_gemma":[0.9983154,0.00023393672,0.00017843721,0.0000057280276,0.00022904789,0.00033951696,0.000019464882,0.00007589228,0.0006025678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961291,0.00024901747,0.0007023829,0.00044123924,0.0011529784,0.001325307],"domain_scores_gemma":[0.9983734,0.0004854035,0.000041277002,0.0004276169,0.000440528,0.0002317919],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020097794,0.00032545597,0.00043792778,0.0015876561,0.00037248593,0.0005273154,0.0004217041,0.00030552686,0.000008593548],"category_scores_gemma":[0.00006804607,0.00030388028,0.00015722816,0.0027244997,0.000036539535,0.00087229355,0.000036052697,0.0007547163,0.00030560288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019127537,0.00004479177,0.000003873285,0.0032288812,0.0002639965,0.00006781661,0.0048952936,0.8523012,0.10309461,0.003401623,0.031679425,0.0008272452],"study_design_scores_gemma":[0.00026447556,0.00020866915,0.000013171426,0.0005696261,0.000024274901,0.00013298828,0.00026927024,0.9929884,0.003612902,0.000023569817,0.0015610569,0.00033160628],"about_ca_topic_score_codex":0.00017065449,"about_ca_topic_score_gemma":0.000005947208,"teacher_disagreement_score":0.65611964,"about_ca_system_score_codex":0.0014612458,"about_ca_system_score_gemma":0.00048317312,"threshold_uncertainty_score":0.99994135},"labels":[],"label_agreement":null},{"id":"W4393182445","doi":"10.1051/e3sconf/202450503008","title":"RETRACTED: Integration of AI in Distributed Energy Resource Management for Enhanced Load Balancing and Grid Stability","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Distributed computing; Grid; Distributed generation; Load balancing (electrical power); Computer science; Stability (learning theory); Resource (disambiguation); Grid computing; Engineering; Computer network; Renewable energy; Electrical engineering; Geology","score_opus":0.008994891311094055,"score_gpt":0.22536788588644743,"score_spread":0.2163729945753534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393182445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589028,0.0010171793,0.03519937,0.000103749415,0.00036044768,0.00015288957,0.00007480943,0.000063176296,0.004125601],"genre_scores_gemma":[0.9995401,0.0002217305,0.00013142284,0.000004837912,0.000036997626,0.000016444945,0.00003087531,0.0000040170926,0.000013566325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993742,0.000018176997,0.00024063954,0.00013470123,0.00012821748,0.00010402994],"domain_scores_gemma":[0.99969614,0.00012545951,0.000022916052,0.000087749664,0.00004648164,0.000021254556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021989738,0.00007823959,0.00015423988,0.000072258044,0.000012791109,0.000020970081,0.00007758264,0.00006310742,0.000016894455],"category_scores_gemma":[0.000038007995,0.00006735896,0.000026743619,0.00017298046,0.00006200505,0.00009027373,0.000016753247,0.00010101451,1.8173584e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039800277,0.0002418979,0.008609977,0.008532329,0.00032344094,0.000016121696,0.00810314,0.0065080873,0.61435956,0.18744405,0.004618888,0.16084452],"study_design_scores_gemma":[0.0005511636,0.00017704474,0.03201404,0.0014130836,0.000039817074,0.000001276541,0.002956622,0.20610566,0.7180406,0.0032204583,0.03517736,0.00030286444],"about_ca_topic_score_codex":0.00007002174,"about_ca_topic_score_gemma":0.00059510564,"teacher_disagreement_score":0.19959757,"about_ca_system_score_codex":0.000028703816,"about_ca_system_score_gemma":0.00007656244,"threshold_uncertainty_score":0.27468187},"labels":[],"label_agreement":null},{"id":"W4393188806","doi":"10.1109/vcc60689.2023.10475111","title":"Generative Adversarial Networks to Secure Vehicle-to-Microgrid Services","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adversarial system; Computer science; Microgrid; Computer network; Generative grammar; Computer security; Artificial intelligence","score_opus":0.0048693451678562165,"score_gpt":0.20506112097973078,"score_spread":0.20019177581187456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393188806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832821,0.00016586074,0.007646825,0.0009122517,0.0032399597,0.00035369306,0.00001757248,0.0013629011,0.003018821],"genre_scores_gemma":[0.9954792,0.00008983154,0.0009958561,0.0013291744,0.0015625174,0.000034254812,0.000024360172,0.00003259774,0.00045220603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916434,0.000013986951,0.00012806703,0.00020294143,0.00013370068,0.00035694308],"domain_scores_gemma":[0.999576,0.00003446177,0.000006560528,0.00016990253,0.000028304696,0.00018480497],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000831353,0.00013672948,0.00012677998,0.0000990232,0.00009063985,0.000054551696,0.00021915135,0.000091801485,0.00009800592],"category_scores_gemma":[0.0000049591868,0.00012348728,0.00004162743,0.00071865064,0.000010807561,0.00009127897,0.00009937838,0.000137769,0.0011649263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012441782,0.0000058474493,0.00022547935,0.000024847046,0.00002575483,0.000015994927,0.002276942,0.95058614,0.0050957133,0.00025739963,0.039683346,0.0017901099],"study_design_scores_gemma":[0.00032183932,0.00007745367,0.0051449393,0.00004728769,0.00001154094,0.0000033917615,0.0008340571,0.84401214,0.011305983,0.00006185108,0.13773452,0.000444995],"about_ca_topic_score_codex":0.00005750102,"about_ca_topic_score_gemma":0.0004680261,"teacher_disagreement_score":0.106573984,"about_ca_system_score_codex":0.00002662209,"about_ca_system_score_gemma":0.000007667231,"threshold_uncertainty_score":0.9996128},"labels":[],"label_agreement":null},{"id":"W4393253182","doi":"10.1109/tpwrd.2024.3382843","title":"Power Swing in Systems With Inverter-Based Resources—Part II: Impact on Protection Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Swing; Electric power system; Inverter; Power-system protection; Electrical engineering; Computer science; Reliability engineering; Power (physics); Engineering; Electronic engineering; Physics; Voltage; Mechanical engineering","score_opus":0.00912381257475731,"score_gpt":0.199211933352126,"score_spread":0.1900881207773687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393253182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92246246,0.0008086736,0.06889254,0.00005177693,0.0050844895,0.00074032735,0.000063252584,0.0007871233,0.0011093551],"genre_scores_gemma":[0.9994139,0.000022039298,0.0000070098777,0.000026888434,0.00008308262,0.00016605663,0.0000020209925,0.00006653549,0.00021244999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984483,0.000080081845,0.00032005776,0.0003812774,0.00038549624,0.00038478806],"domain_scores_gemma":[0.9994012,0.00008850836,0.000024227977,0.00032811132,0.000038219496,0.00011973435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018435626,0.0003194162,0.00026725145,0.0006348521,0.00017790124,0.00018425757,0.00013912475,0.0001958825,0.000062717416],"category_scores_gemma":[0.0000015948477,0.00025226164,0.00013626667,0.0006782319,0.000048586702,0.0002991691,9.0579465e-7,0.0006975392,0.00012382753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017008779,0.000111004876,0.0000097706425,0.00022226667,0.0000929248,0.000094232004,0.0012489898,0.99510324,0.0021646651,0.0000076231822,0.0006225306,0.0001526448],"study_design_scores_gemma":[0.0007487784,0.0016137685,0.0001537201,0.003611192,0.000046354166,0.00010824992,0.0007812708,0.9788206,0.0056729508,0.0000020866432,0.0077947965,0.000646221],"about_ca_topic_score_codex":0.00042110775,"about_ca_topic_score_gemma":0.000043169588,"teacher_disagreement_score":0.07695146,"about_ca_system_score_codex":0.00044163782,"about_ca_system_score_gemma":0.00006262103,"threshold_uncertainty_score":0.99999297},"labels":[],"label_agreement":null},{"id":"W4393621421","doi":"10.14569/ijacsa.2024.01503127","title":"A Machine Learning-based Solution for Monitoring of Converters in Smart Grid Application","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Computer Science and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Converters; Computer science; Grid; Smart grid; Engineering; Electrical engineering; Mathematics","score_opus":0.006440866135040533,"score_gpt":0.258135267660171,"score_spread":0.25169440152513045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393621421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04071485,0.0007046111,0.9573621,0.00027509683,0.000756153,0.00013962464,0.000006705756,0.00002511017,0.000015739213],"genre_scores_gemma":[0.9853846,0.00019538114,0.014101594,0.000015803922,0.00025865046,0.000035294823,0.000002631544,0.0000046322557,0.0000014117055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993318,0.0000037223426,0.00023251216,0.000107211185,0.00023969107,0.000085069],"domain_scores_gemma":[0.9995012,0.00008533463,0.000056415938,0.000052506344,0.0002669673,0.00003753827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589874,0.000054331413,0.00007921883,0.00028576885,0.000040908773,0.00004508564,0.00025682294,0.000018288007,4.841983e-7],"category_scores_gemma":[0.000012303541,0.00005073675,0.00003140702,0.00029875856,0.000101010526,0.0003090515,0.000019161324,0.00010540001,6.3808346e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022855143,0.000049172504,0.002378481,0.00008420376,0.000021721497,0.00000211511,0.00032129633,0.48092368,0.058484774,0.002115812,0.000028971785,0.4555669],"study_design_scores_gemma":[0.00024413392,0.000049921797,0.0020122202,0.00011350739,0.0000043423197,0.000016629134,0.000021258089,0.97466147,0.011367609,0.0006071637,0.010842696,0.00005906655],"about_ca_topic_score_codex":0.000002991905,"about_ca_topic_score_gemma":0.0000017371784,"teacher_disagreement_score":0.9446697,"about_ca_system_score_codex":0.00007929725,"about_ca_system_score_gemma":0.00006389932,"threshold_uncertainty_score":0.20689847},"labels":[],"label_agreement":null},{"id":"W4393993391","doi":"10.1145/3656347","title":"A Probabilistic Approach to Adaptive Protection in the Smart Grid","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Probabilistic logic; Smart grid; Computer science; Grid; Computer security; Risk analysis (engineering); Business; Artificial intelligence; Engineering; Mathematics; Electrical engineering","score_opus":0.023594561841931778,"score_gpt":0.22831502046834146,"score_spread":0.20472045862640967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393993391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38100332,0.000428191,0.5957402,0.0009319124,0.00539295,0.0054438147,0.00010551983,0.0014026605,0.009551433],"genre_scores_gemma":[0.99786866,0.000005457183,0.00009069051,0.000020399033,0.00041576012,0.0014880801,0.0000027290139,0.00002641405,0.00008182479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988206,0.00010933295,0.0001960193,0.00031051628,0.00029796234,0.00026558732],"domain_scores_gemma":[0.9993061,0.0001997288,0.000008641374,0.00039644,0.000019556686,0.000069527545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019799518,0.0001841181,0.00018751128,0.00013538629,0.00011136659,0.00012596049,0.00030560643,0.00008051987,0.0000025203406],"category_scores_gemma":[0.000018150185,0.00012725293,0.00010479958,0.0009048814,0.000041874722,0.00014067742,0.0000035621476,0.0005433199,0.00020543221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003621994,0.00048486906,0.0000020115244,0.00051547174,0.000078600206,0.000014269751,0.008855915,0.97307307,0.0011006524,0.004817928,0.00051242433,0.010508556],"study_design_scores_gemma":[0.00024296888,0.0004003864,0.0006421518,0.0005319686,0.00006307819,0.000084935054,0.0019503841,0.97849196,0.00069047045,0.0011227783,0.015274313,0.0005045864],"about_ca_topic_score_codex":0.0003001726,"about_ca_topic_score_gemma":0.00007325174,"teacher_disagreement_score":0.61686534,"about_ca_system_score_codex":0.00014586959,"about_ca_system_score_gemma":0.000019561967,"threshold_uncertainty_score":0.51892245},"labels":[],"label_agreement":null},{"id":"W4394603473","doi":"10.3389/frsgr.2024.1371153","title":"A review of machine learning applications in power system protection and emergency control: opportunities, challenges, and future directions","year":2024,"lang":"en","type":"review","venue":"Frontiers in Smart Grids","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Manitoba Hydro","keywords":"Control (management); Power (physics); Computer science; Engineering; Systems engineering; Risk analysis (engineering); Engineering management; Business; Artificial intelligence; Physics","score_opus":0.024727221033120986,"score_gpt":0.24742563832091302,"score_spread":0.22269841728779205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394603473","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000022837307,0.9945651,0.00046895488,0.000057856803,0.0023701554,0.0015773604,0.00007784351,0.00014256976,0.0007378417],"genre_scores_gemma":[0.000033160108,0.99847037,0.000085524516,0.0000028784018,0.0002384476,0.0010052817,0.000052219653,0.000052472544,0.00005964607],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840236,0.0001805357,0.00072697067,0.00034821592,0.00012625242,0.0002156611],"domain_scores_gemma":[0.9995349,0.000023526252,0.00011643846,0.00021967402,0.000028322871,0.00007715914],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047515114,0.00034811872,0.0012373198,0.0005080938,0.000055410914,0.000011181255,0.00012018557,0.00029389173,0.0000057452407],"category_scores_gemma":[0.000015772714,0.000296537,0.00013746694,0.0004893601,0.00005666861,0.00008613315,0.000041710166,0.00085174,0.000001401354],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002068087,0.000019510642,0.000047300735,0.38638616,0.00012664418,0.000008830843,0.0003831562,0.0000047334597,8.4182616e-8,0.00039702255,0.0014472947,0.6111772],"study_design_scores_gemma":[0.00008848285,0.000023904893,0.000027234053,0.053043675,0.0002843985,0.00004446953,0.00037578636,0.00062165025,2.827727e-8,0.000016773378,0.94523364,0.00023994588],"about_ca_topic_score_codex":0.00002355972,"about_ca_topic_score_gemma":0.000053964915,"teacher_disagreement_score":0.9437864,"about_ca_system_score_codex":0.0001474481,"about_ca_system_score_gemma":0.00004831128,"threshold_uncertainty_score":0.9999487},"labels":[],"label_agreement":null},{"id":"W4395056573","doi":"10.1109/tcomm.2024.3392801","title":"Toward Generic Cross-Modal Transmission Strategy","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; National Natural Science Foundation of China","keywords":"Electronic engineering; Computer science; Transmission (telecommunications); Modal; Telecommunications; Engineering; Materials science","score_opus":0.047068633690698976,"score_gpt":0.29647147032742865,"score_spread":0.24940283663672969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395056573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014861758,0.0056851283,0.964401,0.00073212484,0.0011367403,0.00020769182,0.000075712676,0.0014085146,0.011491329],"genre_scores_gemma":[0.9929654,0.0048781596,0.001401412,0.000030164214,0.00004469688,0.00008050201,0.00001016876,0.00003534743,0.00055417744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921906,0.00004248076,0.00022272168,0.00016935734,0.00014349438,0.00020285677],"domain_scores_gemma":[0.99893564,0.00013780096,0.0000074673144,0.0007903518,0.000028336004,0.00010042744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008588336,0.00015139556,0.00010958334,0.00015503677,0.00031917114,0.00014946164,0.000549939,0.00011541206,0.00020359161],"category_scores_gemma":[7.621018e-7,0.00014672145,0.00012892709,0.0004615288,0.00014740234,0.00024669815,0.0000017293263,0.0005509813,0.0002650558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011345712,0.00021255176,0.000003282711,0.00019979678,0.0001225967,0.000010308079,0.0021373453,0.8122917,0.01486696,0.0017634495,0.0012014566,0.16717926],"study_design_scores_gemma":[0.0002060758,0.000070957205,0.00017505493,0.00014359808,0.000054832995,0.000047075046,0.00013100867,0.8768156,0.023717787,0.00066506147,0.09760165,0.0003712663],"about_ca_topic_score_codex":0.000025989119,"about_ca_topic_score_gemma":0.000037576378,"teacher_disagreement_score":0.97810364,"about_ca_system_score_codex":0.00006940326,"about_ca_system_score_gemma":0.000051327243,"threshold_uncertainty_score":0.5983127},"labels":[],"label_agreement":null},{"id":"W4396560408","doi":"10.1049/cth2.12675","title":"Fuzzy functional observer‐based sliding mode control for T‐S fuzzy cyber‐physical systems subject to disturbances and deception attacks","year":2024,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Deception; Fuzzy logic; Observer (physics); Control theory (sociology); Subject (documents); Cyber-physical system; Computer science; Fuzzy control system; Control (management); Sliding mode control; Artificial intelligence; Psychology; Social psychology; Physics; Nonlinear system","score_opus":0.00983366412513729,"score_gpt":0.2469167312449505,"score_spread":0.23708306711981322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396560408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19447666,0.0041527785,0.7978709,0.00031314231,0.00040744164,0.0014610826,0.0004405959,0.000354495,0.0005229008],"genre_scores_gemma":[0.99683833,0.000038088736,0.000056699355,0.00011163122,0.0007876445,0.002041469,0.000034391207,0.000022741466,0.00006900677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914795,0.000051296014,0.00017657735,0.00030409513,0.000106454434,0.00021363923],"domain_scores_gemma":[0.99857503,0.0010938798,0.000019627934,0.00015156217,0.000042223026,0.00011764795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031414654,0.00016738848,0.00021636568,0.00006421832,0.0002488516,0.00015630732,0.00008213831,0.000072901195,0.0000022641798],"category_scores_gemma":[0.00002698958,0.00014644026,0.00007522573,0.0001494159,0.00006398659,0.00014314157,0.000008679729,0.00012434863,0.0000133655585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025968615,0.000055142144,0.00023961309,0.0004072226,0.0001437405,0.0000010210351,0.000337335,0.14395681,0.030032095,0.8187221,0.00084814907,0.0049970755],"study_design_scores_gemma":[0.0027293416,0.00018131504,0.004480204,0.00024555172,0.00037083612,0.000017935568,0.00045503606,0.8653178,0.00095086626,0.08151819,0.04298524,0.0007476744],"about_ca_topic_score_codex":0.000005344532,"about_ca_topic_score_gemma":0.000010258707,"teacher_disagreement_score":0.80236167,"about_ca_system_score_codex":0.000032588265,"about_ca_system_score_gemma":0.000019129102,"threshold_uncertainty_score":0.59716606},"labels":[],"label_agreement":null},{"id":"W4396589252","doi":"10.1186/s42400-023-00200-w","title":"Study of smart grid cyber-security, examining architectures, communication networks, cyber-attacks, countermeasure techniques, and challenges","year":2024,"lang":"en","type":"article","venue":"Cybersecurity","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Countermeasure; Computer security; Computer science; Smart grid; Cyber threats; Computer network; Engineering","score_opus":0.026643935483852226,"score_gpt":0.24688260710306947,"score_spread":0.22023867161921726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396589252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83992535,0.15274182,0.000053174914,0.00012703598,0.00088820764,0.0010119143,0.00003875298,0.00109775,0.004116002],"genre_scores_gemma":[0.97806084,0.021335213,0.000094621544,0.000016738168,0.00029890452,0.000101517275,0.000018090417,0.00006372613,0.000010321061],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.997887,0.00025467272,0.00053316547,0.0004934708,0.00041153995,0.0004201069],"domain_scores_gemma":[0.9985053,0.0003736152,0.00007167854,0.0008222247,0.00007915677,0.00014805423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089286576,0.0003910541,0.0005349846,0.00024408253,0.00017227419,0.00011343297,0.00051930227,0.0002684636,0.00001686074],"category_scores_gemma":[0.00004608528,0.00037600577,0.00008182885,0.00031948055,0.00026467541,0.00020969189,0.00026705902,0.00093917485,0.000006532123],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006238776,0.0066237287,0.031671368,0.079813935,0.0053421366,0.00276245,0.64327747,0.019583387,0.0014990224,0.030459046,0.029276375,0.14906722],"study_design_scores_gemma":[0.011464498,0.010835752,0.11068075,0.057253424,0.003906647,0.004738104,0.105798274,0.21404132,0.017231558,0.019272732,0.42913797,0.015638974],"about_ca_topic_score_codex":0.00016945568,"about_ca_topic_score_gemma":0.0020527309,"teacher_disagreement_score":0.53747916,"about_ca_system_score_codex":0.00007705593,"about_ca_system_score_gemma":0.000028772267,"threshold_uncertainty_score":0.99986917},"labels":[],"label_agreement":null},{"id":"W4396712812","doi":"10.1109/ticps.2024.3396106","title":"A Stochastic Bayesian Game for Securing Secondary Frequency Control of Microgrids Against Spoofing Attacks With Incomplete Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Spoofing attack; Complete information; Computer science; Bayesian game; Computer security; Computer network; Nash equilibrium; Game theory; Adversary; Distributed computing; Mathematical optimization; Sequential game; Mathematics; Mathematical economics","score_opus":0.011421098134314054,"score_gpt":0.2124774984112306,"score_spread":0.20105640027691654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396712812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21580563,0.000106475454,0.77920556,0.00003262504,0.002568089,0.0010501718,0.00069474377,0.0003033769,0.00023334855],"genre_scores_gemma":[0.9987912,0.000004121434,0.0000538977,0.000012950431,0.00080019527,0.00026141273,0.000022785174,0.000042253116,0.000011156514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984992,0.000050787123,0.00054274127,0.00023026568,0.00030839242,0.0003686078],"domain_scores_gemma":[0.99910545,0.00039406965,0.00007466919,0.00021494878,0.00007602556,0.00013483154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017222733,0.00029186535,0.0004633776,0.0002603171,0.0001291039,0.00014950927,0.00017363406,0.00022129033,0.000008928678],"category_scores_gemma":[0.0000074796317,0.00025361867,0.00020222549,0.00044534964,0.000094639094,0.00059544324,0.0000011127285,0.00070612074,0.000020407473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017080533,0.000079358106,0.0000039236047,0.0007092709,0.0003543678,0.0000063972725,0.0016126429,0.9658682,0.009591169,0.00045043827,0.00013573818,0.021017702],"study_design_scores_gemma":[0.0032517377,0.0006665411,0.000015089221,0.0019356536,0.00022611946,0.000034580247,0.00042475146,0.9802149,0.010254922,0.00007216847,0.0022736567,0.00062985986],"about_ca_topic_score_codex":0.00013202296,"about_ca_topic_score_gemma":0.00002654593,"teacher_disagreement_score":0.7829856,"about_ca_system_score_codex":0.000172924,"about_ca_system_score_gemma":0.000120862496,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null},{"id":"W4396796193","doi":"10.1016/j.ins.2024.120723","title":"Important-data-based attack design and resilient remote estimation for recurrent neural networks","year":2024,"lang":"en","type":"article","venue":"Information Sciences","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Computer science; Estimation; Artificial neural network; Artificial intelligence; Data mining; Machine learning; Computer security; Engineering","score_opus":0.05309606258327444,"score_gpt":0.3116631855062817,"score_spread":0.25856712292300726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396796193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01978071,0.0010191086,0.97691804,0.00032083367,0.0012491753,0.00034050588,0.000019350817,0.00023337983,0.000118889555],"genre_scores_gemma":[0.97347665,0.00013420546,0.0260981,0.00011422692,0.00008218699,0.000012508806,0.00007314608,0.0000049735922,0.00000401604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918956,0.0000139317635,0.00029052232,0.00012514112,0.00020574665,0.00017511248],"domain_scores_gemma":[0.99954045,0.00021184841,0.00003426191,0.00013344514,0.00002977558,0.00005021682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008701122,0.000086359585,0.000071923605,0.00013307587,0.0001687618,0.0003792654,0.00021025214,0.0000430948,0.000005028843],"category_scores_gemma":[0.00008958047,0.00006868766,0.000018350498,0.00033230707,0.000106875945,0.001870587,0.000025835303,0.00007613669,0.00000771701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054097122,0.000001091984,0.000015087136,0.00007810726,0.000002104228,2.9269773e-7,0.00021546356,0.90268266,0.000004063204,0.00013892185,0.004109082,0.09274771],"study_design_scores_gemma":[0.00007113066,0.000060786308,0.00013196957,0.000057879064,0.000006030557,0.000005812337,0.000055241173,0.9917592,0.000115348776,0.00010868911,0.007533019,0.00009492996],"about_ca_topic_score_codex":0.0000035942066,"about_ca_topic_score_gemma":0.000005299494,"teacher_disagreement_score":0.95369595,"about_ca_system_score_codex":0.000020411097,"about_ca_system_score_gemma":0.00004065621,"threshold_uncertainty_score":0.3657265},"labels":[],"label_agreement":null},{"id":"W4396859756","doi":"10.36227/techrxiv.171560482.25583261/v1","title":"Linear-Dynamic Predictor Based Defense Against Current Drainage Cyber Attack of BLDC Motor Control System","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Current (fluid); Control (management); Drainage; Cyber-attack; Computer science; Control theory (sociology); Computer security; Engineering; Electrical engineering; Artificial intelligence; Biology; Ecology","score_opus":0.009621521671704556,"score_gpt":0.2368533872511939,"score_spread":0.22723186557948935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396859756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86353534,0.019331615,0.060105857,0.0001892214,0.023531863,0.0038239635,0.0036485195,0.004209779,0.021623818],"genre_scores_gemma":[0.99825686,0.0001333267,0.00048268537,0.000024938041,0.00046206854,0.00016412533,0.00011021756,0.00010492536,0.00026083723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760383,0.00008427977,0.0007633775,0.0005938587,0.00049241394,0.0004622559],"domain_scores_gemma":[0.9985611,0.00018345076,0.00010627209,0.0008169584,0.00013069029,0.00020152169],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031540304,0.0005455327,0.00076715683,0.0002876601,0.000043670265,0.00006696072,0.0005150547,0.00047162618,0.00004556803],"category_scores_gemma":[0.00005155435,0.00047173697,0.0004750535,0.0001837375,0.000112013026,0.000039228766,0.00032540405,0.0012966286,0.0001815397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006975421,0.00014318501,0.00014550885,0.03165833,0.00051134883,0.00012131937,0.0005046003,0.95871735,0.0023051898,0.0010805503,0.0037760872,0.00096676574],"study_design_scores_gemma":[0.00056832144,0.000032210377,0.00023128833,0.0025759689,0.00016579573,0.0000035608546,0.000061038794,0.99260914,0.0003885548,0.00004758573,0.0028578273,0.00045870498],"about_ca_topic_score_codex":0.000017619055,"about_ca_topic_score_gemma":0.000031768002,"teacher_disagreement_score":0.13472152,"about_ca_system_score_codex":0.00031245503,"about_ca_system_score_gemma":0.00018085986,"threshold_uncertainty_score":0.99977344},"labels":[],"label_agreement":null},{"id":"W4396877687","doi":"10.1109/tim.2024.3400328","title":"Measuring and Improving the Security Posture of IEC 61850 Substations Against Supply Chain Attacks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"IEC 61850; Supply chain; Computer security; Computer science; Reliability engineering; Chain (unit); Embedded system; Systems engineering; Engineering; Electrical engineering; Business; Automation; Mechanical engineering","score_opus":0.020398682632401362,"score_gpt":0.21417835958897422,"score_spread":0.19377967695657286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396877687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94615304,0.0014932192,0.049916808,0.000389646,0.0011448944,0.0004100595,0.000053547432,0.00015455762,0.0002841964],"genre_scores_gemma":[0.99881005,0.00091577123,0.00010427115,0.00005965969,0.000032253396,0.000047554156,0.000002998046,0.000015652848,0.0000117594045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904394,0.000039006954,0.000229384,0.00017899786,0.0003600375,0.00014860852],"domain_scores_gemma":[0.999696,0.00004329932,0.000022496337,0.000112609465,0.000059453072,0.00006613686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031390716,0.00014019363,0.00010747351,0.0001307041,0.00021932999,0.00008104955,0.000058457885,0.000055419823,0.000013231761],"category_scores_gemma":[0.0000041968037,0.00011253933,0.000046869693,0.000191898,0.000082755425,0.00018843397,0.0000011580861,0.00023449023,0.0000026978862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010134828,0.00023482212,0.000556081,0.002212104,0.00060528447,0.000010684401,0.043120854,0.058568463,0.4521983,0.0012633852,0.0004040649,0.44072464],"study_design_scores_gemma":[0.002161208,0.00032633403,0.010831702,0.0011795018,0.0003559251,0.0000623578,0.0117366435,0.20647553,0.76280105,0.0003821885,0.0028372782,0.0008502549],"about_ca_topic_score_codex":0.000039751576,"about_ca_topic_score_gemma":0.00030690094,"teacher_disagreement_score":0.43987438,"about_ca_system_score_codex":0.0000889842,"about_ca_system_score_gemma":0.000035270223,"threshold_uncertainty_score":0.45892206},"labels":[],"label_agreement":null},{"id":"W4398181761","doi":"10.36227/techrxiv.171625774.47272893/v1","title":"A Gain Randomization Framework Against Inference Attacks on Control Systems","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Randomization; Inference; Computer science; Control (management); Econometrics; Mathematics; Artificial intelligence; Randomized controlled trial; Medicine; Internal medicine","score_opus":0.009958729027451287,"score_gpt":0.24757345610690917,"score_spread":0.23761472707945788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398181761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08692384,0.00832184,0.7998039,0.00036047437,0.023553181,0.0025291925,0.00015911282,0.0032249056,0.07512354],"genre_scores_gemma":[0.9974736,0.0007879587,0.0001730496,0.00016332467,0.0007973015,0.00020609077,0.00003787928,0.000053658845,0.00030714128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985305,0.000080797865,0.00040450323,0.00040437683,0.0002967136,0.00028309098],"domain_scores_gemma":[0.99878216,0.000538992,0.000045822533,0.00047916092,0.000053699307,0.0001001605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028707748,0.0003547485,0.00050714985,0.00017864775,0.000046969486,0.00028326697,0.00029870754,0.0006777665,0.00004033957],"category_scores_gemma":[0.00022489179,0.00029304653,0.00015459952,0.00015525417,0.000038344846,0.000031208725,0.00014947243,0.0015447561,0.0004329194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040563536,0.000013265995,0.000046386056,0.0009460314,0.00010833899,0.000017634029,0.00028273778,0.98826474,0.00004185122,0.006124387,0.0038357433,0.0002783369],"study_design_scores_gemma":[0.0007771855,0.000016149472,0.000027536715,0.0023817078,0.000044297412,0.0000014682387,0.00004965509,0.99243027,0.00014145602,0.0022411286,0.0014910345,0.00039808213],"about_ca_topic_score_codex":0.000017446158,"about_ca_topic_score_gemma":0.000008028051,"teacher_disagreement_score":0.91054976,"about_ca_system_score_codex":0.000117310716,"about_ca_system_score_gemma":0.00005917512,"threshold_uncertainty_score":0.99995214},"labels":[],"label_agreement":null},{"id":"W4398449800","doi":"10.7910/dvn/bdcjnp/7ogko8","title":"NDVI towers data.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Normalized Difference Vegetation Index; Geography; Mathematics; Geology; Climate change; Oceanography","score_opus":0.02232122055038454,"score_gpt":0.23722603235574807,"score_spread":0.21490481180536353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398449800","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001711982,0.000021315438,0.00007563048,0.0000022887693,0.006374283,0.00026207417,0.99259984,0.00017564071,0.0004718311],"genre_scores_gemma":[0.000011017687,0.0034389326,0.00013526657,0.0001560235,0.0009345228,0.000008327324,0.9950417,0.000042031184,0.00023213074],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808663,0.000034480407,0.0003205089,0.00063568196,0.00042768673,0.0004950064],"domain_scores_gemma":[0.9951943,0.00008742705,0.00006438959,0.0044596847,0.00002623488,0.00016796471],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023229586,0.0004178353,0.00042894605,0.00017076849,0.00007197169,0.00012618236,0.002602564,0.0004229867,0.013115983],"category_scores_gemma":[0.00011297404,0.00041691618,0.00007726717,0.00018704083,0.00009500467,0.0006371353,0.0010052434,0.00076304283,0.2830431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000924252,0.000023802573,0.0000018228681,0.00037097637,0.00008554632,0.00009396292,0.00001536736,0.0008762002,0.000013861675,0.000003270371,0.9983032,0.00020278018],"study_design_scores_gemma":[0.00025385406,0.000016877875,0.000008339283,0.000115975774,0.000103606435,0.000022080125,0.000039391216,0.0022899942,0.000018417482,0.0000024697301,0.99660957,0.00051944715],"about_ca_topic_score_codex":0.00013197483,"about_ca_topic_score_gemma":0.000117440206,"teacher_disagreement_score":0.26992708,"about_ca_system_score_codex":0.00007405683,"about_ca_system_score_gemma":0.000085949585,"threshold_uncertainty_score":0.9998283},"labels":[],"label_agreement":null},{"id":"W4398787736","doi":"10.1109/access.2024.3405334","title":"A Reinforcement Learning Congestion Control Algorithm for Smart Grid Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Agència de Gestió d'Ajuts Universitaris i de Recerca; Generalitat de Catalunya; European Commission","keywords":"Reinforcement learning; Computer science; Network congestion; Smart grid; Algorithm; Artificial intelligence; Distributed computing; Computer network; Engineering","score_opus":0.011272011876164908,"score_gpt":0.2557219067097106,"score_spread":0.2444498948335457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398787736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068911114,0.0016243828,0.98292834,0.000070385264,0.006954541,0.00035657108,0.000006667799,0.00057565,0.0005923409],"genre_scores_gemma":[0.99756426,0.0002678233,0.0001841043,0.000080845006,0.0014798512,0.00014520704,0.000022049364,0.000028547012,0.00022730693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927235,0.000013522992,0.0001706754,0.00016455972,0.0001132121,0.0002657106],"domain_scores_gemma":[0.9996412,0.00015403228,0.000014387474,0.00009665811,0.00003311446,0.000060632916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017090589,0.00012285505,0.00012971717,0.00006833953,0.00009323809,0.0002281161,0.00017363201,0.0000889441,0.000028778464],"category_scores_gemma":[0.000014325079,0.000114212555,0.00006686227,0.00015362163,0.000025050933,0.00033316453,0.000013916452,0.00023630713,0.00002205561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060882244,0.000003418122,0.000070075184,0.00008832954,0.000048464113,0.000009507568,0.000078065474,0.954389,0.00013109247,0.000106779116,0.0063859173,0.038683288],"study_design_scores_gemma":[0.00028388645,0.000039378163,0.0001598767,0.000093864415,0.000027596867,0.0000064800543,0.000009922859,0.95339,0.00085395214,0.000050150844,0.044937182,0.0001477187],"about_ca_topic_score_codex":0.000018089957,"about_ca_topic_score_gemma":0.000009765796,"teacher_disagreement_score":0.9906732,"about_ca_system_score_codex":0.00004667833,"about_ca_system_score_gemma":0.00001409957,"threshold_uncertainty_score":0.4657453},"labels":[],"label_agreement":null},{"id":"W4399089638","doi":"10.1016/j.egyr.2024.05.051","title":"Smart grids: A comprehensive survey of challenges, industry applications, and future trends","year":2024,"lang":"en","type":"article","venue":"Energy Reports","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Engineering; Systems engineering; Data science","score_opus":0.015678799990718344,"score_gpt":0.23100228384256818,"score_spread":0.21532348385184985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399089638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5312642,0.43805885,0.0005497179,0.0006221482,0.004182523,0.00014765575,0.000059517184,0.0008822066,0.024233222],"genre_scores_gemma":[0.9916274,0.007582438,0.00003800706,0.000012795667,0.00038865115,0.000031479256,0.000047103957,0.000018504878,0.00025359934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999313,0.00002319291,0.00022370213,0.00020665607,0.00011530153,0.00011812609],"domain_scores_gemma":[0.9995893,0.00004963783,0.000027825075,0.00023234848,0.00003741643,0.000063476444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010776685,0.00010877775,0.0001544033,0.00010296686,0.000027058912,0.000015968886,0.00004517278,0.00019993936,0.000024988763],"category_scores_gemma":[0.0000039429997,0.00009920648,0.000029014825,0.00027154214,0.00004662049,0.00006089592,0.000025584975,0.00020213505,8.298893e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024346435,0.000156557,0.015851887,0.0016634795,0.0006345091,0.0016693005,0.002231278,0.0060798544,0.0021878285,0.018837633,0.039021406,0.9116419],"study_design_scores_gemma":[0.000041510208,0.000020569694,0.11914915,0.000053841326,0.000013765945,0.00045031589,0.00009794086,0.0010048827,0.00093279104,0.0001621229,0.87789994,0.00017318937],"about_ca_topic_score_codex":0.00015165158,"about_ca_topic_score_gemma":0.00024261847,"teacher_disagreement_score":0.91146874,"about_ca_system_score_codex":0.000012366857,"about_ca_system_score_gemma":0.000021162914,"threshold_uncertainty_score":0.40455228},"labels":[],"label_agreement":null},{"id":"W4399125187","doi":"10.1109/tiv.2024.3406951","title":"Resilient Neural-Sliding-Mode Distance Regulation in Merging Control of Heterogeneous Connected Automated Vehicles Subject to Deception Attacks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deception; Subject (documents); Mode (computer interface); Computer science; Control (management); Psychology; Computer security; Artificial intelligence; Cognitive psychology; Social psychology; Human–computer interaction; World Wide Web","score_opus":0.011525600332537663,"score_gpt":0.2596556880437592,"score_spread":0.24813008771122155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399125187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.613602,0.0004429877,0.3840972,0.00007714301,0.00073124934,0.0002966682,0.000048158796,0.0006869174,0.000017673196],"genre_scores_gemma":[0.9993932,0.00024461854,0.00013634264,0.00003110027,0.000043752065,0.00007015627,0.000006588234,0.00004744247,0.000026793856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983447,0.000094164694,0.0005601608,0.0003660277,0.0002968637,0.00033804862],"domain_scores_gemma":[0.999265,0.00028023886,0.000035154473,0.00025101044,0.00006325476,0.00010535022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000174929,0.00025009547,0.00028102924,0.0005004916,0.000096608404,0.00006280731,0.00016738813,0.00013809263,0.000045667726],"category_scores_gemma":[0.00001138215,0.0002529854,0.00014050853,0.00073461985,0.00005393766,0.00017571448,0.0000015884511,0.00028431235,0.00005083994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014581726,0.00006831269,0.00008668209,0.00014766882,0.000049333878,0.00001313266,0.0011702846,0.85846806,0.13069966,0.00006916668,0.00006606465,0.009015835],"study_design_scores_gemma":[0.00013920332,0.0000843931,0.00053963193,0.00030863428,0.000021451891,0.000008359554,0.000087211774,0.61954767,0.3788887,0.000038004026,0.00016949796,0.00016728276],"about_ca_topic_score_codex":0.00008671061,"about_ca_topic_score_gemma":0.000634565,"teacher_disagreement_score":0.3857912,"about_ca_system_score_codex":0.00023345731,"about_ca_system_score_gemma":0.000022580147,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W4399151917","doi":"10.48550/arxiv.2405.18134","title":"Metric and Geometric Spanners that are Resilient to Degree-Bounded Edge Faults","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bounded function; Metric (unit); Degree (music); Enhanced Data Rates for GSM Evolution; Mathematics; Discrete mathematics; Computer science; Combinatorics; Engineering; Physics; Mathematical analysis; Artificial intelligence","score_opus":0.06908982853197114,"score_gpt":0.1853864480929466,"score_spread":0.11629661956097546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399151917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822704,0.003057153,0.006431029,0.000076512755,0.0023232459,0.0004774539,0.000080845915,0.0005800107,0.00470332],"genre_scores_gemma":[0.99619025,0.0014706212,0.000115877934,0.000043499105,0.00015632315,0.0000025097904,0.000013939196,0.000057246554,0.0019497337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980222,0.000050091112,0.0001970928,0.0010326471,0.00016917764,0.00052879914],"domain_scores_gemma":[0.99861354,0.00014951105,0.00006825939,0.00068879675,0.00007657,0.00040334224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020411485,0.0004665137,0.00046179193,0.0022066818,0.00013035398,0.000123486,0.00064108014,0.00043640358,0.00003164963],"category_scores_gemma":[0.000090903784,0.00051155273,0.00019008614,0.0031914539,0.00011582322,0.000113498565,0.0013451254,0.0010047611,0.00028111905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007754904,0.00008057529,0.012412993,0.0017091418,0.00042220764,0.0014602456,0.0007230346,0.96821064,0.00005691117,0.0053148693,0.007789888,0.0017419606],"study_design_scores_gemma":[0.0030522035,0.00046206196,0.2059167,0.003631426,0.001980261,0.0001244459,0.0053600427,0.6933454,0.0057896934,0.027084833,0.045580808,0.007672118],"about_ca_topic_score_codex":0.0001449924,"about_ca_topic_score_gemma":0.00023574226,"teacher_disagreement_score":0.2748652,"about_ca_system_score_codex":0.0004152473,"about_ca_system_score_gemma":0.00006327335,"threshold_uncertainty_score":0.9997336},"labels":[],"label_agreement":null},{"id":"W4399413488","doi":"10.1016/j.automatica.2024.111747","title":"Nonlinear stealthy attacks on remote state estimation","year":2024,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nonlinear system; State (computer science); Computer science; Estimation; Control theory (sociology); Computer security; Engineering; Algorithm; Physics; Artificial intelligence; Control (management); Systems engineering","score_opus":0.007916436910877395,"score_gpt":0.25389041296645526,"score_spread":0.24597397605557786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399413488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89427793,0.0008861429,0.08256583,0.0011434668,0.0024268734,0.00034665925,0.000036777536,0.004235718,0.014080622],"genre_scores_gemma":[0.97472703,0.00017099168,0.02421019,0.00016932105,0.00015274696,0.000005883079,0.000020671787,0.000048513153,0.0004946261],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999357,0.000014390559,0.00016547866,0.00012337259,0.00016074495,0.00017904148],"domain_scores_gemma":[0.99962753,0.00012248944,0.0000081692915,0.00017347993,0.0000090113945,0.00005929725],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010649667,0.00009949347,0.00009505596,0.00007966008,0.000042974494,0.00006682293,0.00008615531,0.000045541245,0.000056677913],"category_scores_gemma":[0.00003136198,0.00008621281,0.000033941964,0.0001796532,0.000023168705,0.00010222187,0.000011252779,0.00016500341,0.0014731144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012855416,0.00006192305,0.000013095792,0.0023467136,0.00011720226,0.00018160402,0.005173908,0.45876387,0.0012102756,0.0022706476,0.033523213,0.4963247],"study_design_scores_gemma":[0.00005067014,0.000041978674,0.0002284505,0.00020093043,0.0000065357,0.000008080103,0.000011745995,0.9872545,0.0014217586,0.0012669476,0.009406388,0.000102003105],"about_ca_topic_score_codex":0.000005971871,"about_ca_topic_score_gemma":0.000004693835,"teacher_disagreement_score":0.5284906,"about_ca_system_score_codex":0.000044047512,"about_ca_system_score_gemma":0.000019961011,"threshold_uncertainty_score":0.99930435},"labels":[],"label_agreement":null},{"id":"W4399562988","doi":"10.1109/ticps.2024.3413605","title":"Early Detection of Cyber-Physical Attacks on Electric Vehicles Fast Charging Stations Using Wavelets and Deep Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavelet; Computer science; Artificial intelligence; Real-time computing; Automotive engineering; Computer security; Environmental science; Engineering","score_opus":0.02077021125439491,"score_gpt":0.24198496062413632,"score_spread":0.22121474936974142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399562988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8976379,0.000119687815,0.09968251,0.000014373996,0.0016409209,0.00038573204,0.00003046151,0.00035135943,0.00013703351],"genre_scores_gemma":[0.99864596,0.000032647993,0.000009276689,0.0000025108727,0.0011277358,0.000053035346,0.0000026692583,0.000064457476,0.000061708364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981719,0.0001648061,0.00038490447,0.0004102707,0.00045173374,0.00041636426],"domain_scores_gemma":[0.99901307,0.00052902225,0.000063948355,0.00018044148,0.000054746008,0.00015879759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015364597,0.0003199087,0.0004360642,0.0003811201,0.00033934595,0.00017207618,0.000116265815,0.00024321594,0.0000036180486],"category_scores_gemma":[0.000012726132,0.00030680612,0.00018643161,0.0009670236,0.00008572756,0.00031309127,0.0000022781646,0.0013219552,0.000037339607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007090247,0.00017482639,0.000015160747,0.0001526663,0.00019497523,0.000013524453,0.0023795126,0.6207335,0.30723545,0.0002656331,0.000007877926,0.06875595],"study_design_scores_gemma":[0.00053255504,0.00049612497,0.00017999216,0.0004814897,0.00014122085,0.000022753851,0.0003566252,0.85914886,0.13788082,0.00002386164,0.0003522226,0.00038348068],"about_ca_topic_score_codex":0.00038368258,"about_ca_topic_score_gemma":0.000019361121,"teacher_disagreement_score":0.23841533,"about_ca_system_score_codex":0.00021952111,"about_ca_system_score_gemma":0.00003932197,"threshold_uncertainty_score":0.9999384},"labels":[],"label_agreement":null},{"id":"W4399664686","doi":"10.1155/2024/2790548","title":"Resilient Event Triggered Interval Type‐2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of the West Indies, St. Augustine Campus; University of the West Indies","keywords":"Interval (graph theory); Control theory (sociology); Fuzzy logic; Control (management); Computer science; Event (particle physics); Mode (computer interface); Sliding mode control; Physics; Mathematics; Artificial intelligence; Operating system; Nonlinear system","score_opus":0.00826759066924347,"score_gpt":0.2567509763901795,"score_spread":0.24848338572093606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399664686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940661,0.0014222106,0.056079675,0.00015127474,0.0012352853,0.00031016857,0.000050244147,0.000083120234,0.000007029812],"genre_scores_gemma":[0.99693406,0.00014328156,0.0026726471,0.0000293185,0.00015102641,0.000013002606,0.000016236374,0.00002600935,0.000014408037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906373,0.000016347654,0.00046444777,0.0001357968,0.00014569292,0.0001739941],"domain_scores_gemma":[0.99939084,0.00022125973,0.00006258015,0.00006113064,0.00015632788,0.00010784292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014066313,0.00012985292,0.00023852549,0.00016766183,0.000047854337,0.000034394314,0.00006926604,0.0000647212,0.0000038050016],"category_scores_gemma":[0.00006544013,0.0001160312,0.00009589639,0.0001899242,0.000012980854,0.00027941068,0.0000012230742,0.00017075162,0.0000015382005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000657208,0.000031731874,0.00052684144,0.00024704478,0.0001198805,0.00003794648,0.004264211,0.7408201,0.24642576,0.00032779376,0.00018577116,0.00635569],"study_design_scores_gemma":[0.014948199,0.0025672442,0.2688693,0.0032271515,0.0007496247,0.00011393962,0.0034892415,0.44970983,0.23515981,0.0037437384,0.01594375,0.0014781432],"about_ca_topic_score_codex":0.000004440893,"about_ca_topic_score_gemma":0.00010660859,"teacher_disagreement_score":0.29111028,"about_ca_system_score_codex":0.00007786111,"about_ca_system_score_gemma":0.000037514514,"threshold_uncertainty_score":0.47316152},"labels":[],"label_agreement":null},{"id":"W4399729043","doi":"10.1109/syscon61195.2024.10553591","title":"Event-Based Covert Cyber-Attack in Switching Cyber-Physical Systems: Design and Detection Mechanisms","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Covert; Computer science; Computer security; Event (particle physics); Attack patterns; Intrusion detection system; Operating system","score_opus":0.010521467151765912,"score_gpt":0.23077367406742605,"score_spread":0.22025220691566014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399729043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35229847,0.00046578186,0.6456964,0.000021620695,0.00071833597,0.0001943661,0.0000010845612,0.0003370987,0.0002668376],"genre_scores_gemma":[0.9993367,0.000020078192,0.00043012018,0.000019697398,0.00009755502,0.00003294445,9.733178e-7,0.000020159212,0.00004177558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924934,0.000046422825,0.00014957866,0.00020741309,0.00014516502,0.00020209003],"domain_scores_gemma":[0.9996486,0.00017260587,0.0000072731027,0.000103415805,0.000008701934,0.000059407885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020128602,0.00013696308,0.00015311794,0.00012575493,0.000043636413,0.0001177059,0.000063361025,0.00008181512,0.0000063919724],"category_scores_gemma":[0.000009415008,0.00011887676,0.000036484875,0.00023541883,0.000011189949,0.0001829881,0.000014486165,0.00021307732,0.00004410233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011530648,0.000028603721,0.000011805734,0.00035370127,0.000024116856,0.00004483392,0.0006612676,0.85226876,0.1413615,0.002761175,0.00018320918,0.0022894682],"study_design_scores_gemma":[0.0001325404,0.000046385343,0.000069946815,0.00016639572,0.000009349714,0.0000136831,0.0001241784,0.93898976,0.059682872,0.00025650283,0.00035571188,0.00015268508],"about_ca_topic_score_codex":0.000084425956,"about_ca_topic_score_gemma":0.00008253738,"teacher_disagreement_score":0.6470382,"about_ca_system_score_codex":0.00008232489,"about_ca_system_score_gemma":0.00001901017,"threshold_uncertainty_score":0.48476532},"labels":[],"label_agreement":null},{"id":"W4399801556","doi":"10.1109/ichms59971.2024.10555711","title":"Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Neural coding; Coding (social sciences); Artificial intelligence; Machine learning","score_opus":0.013003480876501914,"score_gpt":0.24097877258552367,"score_spread":0.22797529170902175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399801556","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45936796,0.00097625173,0.5204707,0.00016431385,0.0056183888,0.0004506876,0.000006228141,0.0022884961,0.010657013],"genre_scores_gemma":[0.9976998,0.00004416387,0.001116333,0.000014139234,0.0004686956,0.000033579174,0.000003945928,0.00003178757,0.00058753096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993044,0.0000074933746,0.00012953527,0.00017426709,0.0001231655,0.0002610989],"domain_scores_gemma":[0.9996454,0.00018581965,0.0000067123947,0.000055449116,0.000044294204,0.00006233893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001321772,0.00012451259,0.00011304337,0.00006693811,0.00015320255,0.00018723168,0.00006427052,0.000072549825,0.000059998645],"category_scores_gemma":[0.000053220065,0.00011467243,0.00006236955,0.00018295286,0.000015743326,0.00013213257,0.000013374455,0.00021605898,0.00008257838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004255184,0.000027328382,0.0018814356,0.0015233398,0.00015686732,0.000120927114,0.0019341197,0.8176287,0.15058635,0.0006531104,0.00706845,0.018376812],"study_design_scores_gemma":[0.00015247636,0.000024415074,0.00014108823,0.00018990008,0.000010058278,0.0000027260048,0.00022657146,0.87048286,0.11736272,0.000016117456,0.011235367,0.00015569938],"about_ca_topic_score_codex":0.000014281259,"about_ca_topic_score_gemma":0.000009083344,"teacher_disagreement_score":0.53833187,"about_ca_system_score_codex":0.00010057365,"about_ca_system_score_gemma":0.000046130233,"threshold_uncertainty_score":0.4676206},"labels":[],"label_agreement":null},{"id":"W4399850394","doi":"10.1109/appeec57400.2023.10561901","title":"Appliance Anomaly Detection as NILM Extention","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"","keywords":"Anomaly detection; Computer science; Anomaly (physics); Artificial intelligence; Computer vision; Physics","score_opus":0.005331054623196559,"score_gpt":0.1999534219675369,"score_spread":0.19462236734434035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399850394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96110564,0.00008326674,0.014311355,0.000032344808,0.00084016717,0.00007989733,5.922915e-7,0.0013101174,0.022236604],"genre_scores_gemma":[0.99748755,0.00011034192,0.000060931194,0.000017501618,0.00010362046,0.000016048733,0.0000021309277,0.000008503364,0.0021933608],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996403,0.000003973238,0.00006501545,0.00008602245,0.00007771642,0.00012701392],"domain_scores_gemma":[0.9998606,0.000010701642,0.0000048452594,0.000086411805,0.000008369886,0.000029071985],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000053488267,0.000049806997,0.00004172842,0.000050977887,0.000047863257,0.00001591333,0.00005140656,0.00004089762,0.00009042759],"category_scores_gemma":[0.000007102381,0.000047628353,0.000024726733,0.00030481518,0.000011494316,0.000086133376,0.000010356945,0.000058098296,0.0024287815],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025788959,0.00004801985,0.003281182,0.0003384822,0.000059261405,0.00006798214,0.0007980821,0.13232197,0.64547217,0.004765902,0.020322569,0.1924986],"study_design_scores_gemma":[0.00034409456,0.0000672672,0.08750567,0.00003306921,0.000010586099,0.000032471005,0.00038659203,0.48023516,0.3478732,0.0021955892,0.0808884,0.00042786714],"about_ca_topic_score_codex":0.000019344663,"about_ca_topic_score_gemma":0.00005393689,"teacher_disagreement_score":0.3479132,"about_ca_system_score_codex":0.000014162854,"about_ca_system_score_gemma":0.0000023742202,"threshold_uncertainty_score":0.99834794},"labels":[],"label_agreement":null},{"id":"W4399881960","doi":"10.1109/icnc59896.2024.10556217","title":"Managing Failures and Service Quality in the Context of NFV","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Network Functions Virtualization; Context (archaeology); Service (business); Service quality; Process management; Business; Cloud computing; Marketing","score_opus":0.012782993123071469,"score_gpt":0.2512310110423339,"score_spread":0.23844801791926246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399881960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97636867,0.0035459083,0.0010393251,0.0058719274,0.00019915379,0.0000885785,0.0000028391312,0.000108338914,0.012775278],"genre_scores_gemma":[0.999566,0.00009408409,0.000047826758,0.00024381181,0.000018098071,0.0000021045273,3.9716252e-7,0.0000027453598,0.000024933717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973035,0.000016724438,0.000081528524,0.000054364897,0.000056946606,0.00006008175],"domain_scores_gemma":[0.99980557,0.00010783337,0.000002557086,0.000070751004,0.000004731943,0.000008561734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001827468,0.000035823647,0.000051286086,0.000027514883,0.000009956513,0.000021827113,0.00006880245,0.000017963397,0.000016020173],"category_scores_gemma":[0.000004849229,0.000022504944,0.000009941512,0.00013597951,0.000016347978,0.00005587097,0.000013092062,0.000071800445,0.0000055143983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019611869,0.000055038694,0.008292459,0.0072709788,0.000113517155,0.000069011294,0.12640624,0.009494274,0.016932355,0.77029127,0.007502925,0.05355233],"study_design_scores_gemma":[0.00077274715,0.000055750836,0.11060372,0.0008358747,0.00003945013,0.000057529716,0.10029804,0.60884494,0.021891002,0.021567548,0.13427494,0.0007584423],"about_ca_topic_score_codex":0.0006394317,"about_ca_topic_score_gemma":0.0019987714,"teacher_disagreement_score":0.74872375,"about_ca_system_score_codex":0.0000035780095,"about_ca_system_score_gemma":0.0000025450172,"threshold_uncertainty_score":0.111536145},"labels":[],"label_agreement":null},{"id":"W4400017163","doi":"10.18280/jesa.570301","title":"A Machine Learning-Based Smart Grid Protection and Control Framework Using Kalman Filters for Enhanced Power Management","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smart grid; Kalman filter; Computer science; Control (management); Power grid; Control engineering; Power (physics); Artificial intelligence; Engineering; Electrical engineering","score_opus":0.011278987295283077,"score_gpt":0.23463607050174418,"score_spread":0.2233570832064611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400017163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17171066,0.004235702,0.82084894,0.00010334539,0.0016720433,0.0006059787,0.000017669141,0.0005800661,0.00022559028],"genre_scores_gemma":[0.990524,0.00019176581,0.008750442,0.000049586262,0.00027613871,0.00004343052,0.0000021498774,0.000067183835,0.0000953231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873006,0.00010204457,0.00036209077,0.00021865846,0.00023886986,0.00034825038],"domain_scores_gemma":[0.9995182,0.0001337311,0.000070878115,0.000101740276,0.000049285198,0.00012615371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039716595,0.00022978299,0.00024975644,0.0002557812,0.00034364054,0.00038678682,0.00012331984,0.00009575566,0.000048967653],"category_scores_gemma":[0.00007829394,0.00019775589,0.00012740241,0.0002486028,0.00006552092,0.00024043508,0.000021054431,0.000516416,0.0000137140705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023752914,0.000101556165,0.00049265777,0.0073631317,0.001184015,0.0005377554,0.0031100102,0.7782387,0.03838779,0.0012695708,0.0010009144,0.16807635],"study_design_scores_gemma":[0.0005707097,0.00022536614,0.006729268,0.0016227837,0.00010251707,0.00030448136,0.00007026296,0.9824849,0.0012646215,0.0009804715,0.005371617,0.00027299617],"about_ca_topic_score_codex":0.0000065208137,"about_ca_topic_score_gemma":0.0000037331743,"teacher_disagreement_score":0.8188133,"about_ca_system_score_codex":0.0001633763,"about_ca_system_score_gemma":0.000022521175,"threshold_uncertainty_score":0.8064251},"labels":[],"label_agreement":null},{"id":"W4400075135","doi":"10.1109/tifs.2024.3420075","title":"A Feasibility Area Approach for Early Stage Detection of Stealthy Infiltrated Cyberattacks in Power Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Stage (stratigraphy); Computer security; Power (physics); Computer network; Geology","score_opus":0.012961524949351632,"score_gpt":0.2249406619072696,"score_spread":0.21197913695791798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400075135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45984355,0.00009997512,0.5382524,0.0000042513902,0.00060030667,0.00048653115,0.00024426338,0.00010421834,0.0003645266],"genre_scores_gemma":[0.9996372,0.000081620135,0.0001505841,0.000009711578,0.000008841926,0.000074344345,0.000019273306,0.000009204952,0.000009248938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910605,0.00002091502,0.00043107555,0.00011863047,0.00015422843,0.00016910679],"domain_scores_gemma":[0.9996079,0.00007125679,0.00003751287,0.00013491348,0.00008729685,0.00006108087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026079087,0.00013834507,0.00018200219,0.00025765653,0.00008047361,0.000104113315,0.00005104486,0.00015454402,0.0000037124378],"category_scores_gemma":[0.000004877617,0.0001309328,0.00006630793,0.00035235542,0.000058455946,0.00077983044,7.608527e-7,0.0002842752,0.0000016453398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006429003,0.00027181994,0.00052184594,0.008408475,0.00023463581,0.00000282727,0.047250047,0.9256119,0.0020437813,0.005404851,0.00025964165,0.009347283],"study_design_scores_gemma":[0.00049175555,0.00016295804,0.00053442427,0.000080196594,0.000014157796,0.0000068893128,0.0010214462,0.9920762,0.00436045,0.00019484921,0.00088209886,0.00017456892],"about_ca_topic_score_codex":0.0001170018,"about_ca_topic_score_gemma":0.00009225485,"teacher_disagreement_score":0.5397936,"about_ca_system_score_codex":0.00008080116,"about_ca_system_score_gemma":0.00002982123,"threshold_uncertainty_score":0.53392845},"labels":[],"label_agreement":null},{"id":"W4400113412","doi":"10.1109/sgsma58694.2024.10571477","title":"A Reliable Wide-Area and Wideband Synchronized Measurement System to Improve Grid Resiliency – A Practical Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alterra Power (Canada)","funders":"","keywords":"Wideband; Computer science; Grid; Electronic engineering; Engineering; Geology","score_opus":0.01426472516068318,"score_gpt":0.22245585311978353,"score_spread":0.20819112795910036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400113412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16330582,0.023845123,0.5383313,0.003342601,0.010060052,0.004226532,0.000047248104,0.0056639807,0.25117737],"genre_scores_gemma":[0.9938502,0.00010176725,0.0053217495,0.000060806065,0.00016781251,0.00012975473,0.0000031032635,0.000035321147,0.00032952396],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838865,0.000027182266,0.0002809794,0.00044585293,0.0004647973,0.00039256184],"domain_scores_gemma":[0.999291,0.00010482066,0.000011037745,0.0002907776,0.00006334965,0.00023902576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058659085,0.00021510251,0.00024236745,0.000117487965,0.00009195632,0.00021100609,0.00011270965,0.00011119759,0.000034778594],"category_scores_gemma":[0.00015523726,0.00016727298,0.000050943443,0.00032828868,0.000040767743,0.00025863617,0.00006612508,0.0002588031,0.00007289435],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040477124,0.00044285264,0.00094081624,0.022380562,0.00090899115,0.00084345264,0.0067995153,0.04025976,0.08968243,0.044205174,0.78712416,0.00600754],"study_design_scores_gemma":[0.0008601107,0.0003375511,0.00034500993,0.0012384362,0.00016161936,0.00044592813,0.0016810494,0.85326666,0.013477664,0.00011710439,0.12708253,0.0009863738],"about_ca_topic_score_codex":0.000074324606,"about_ca_topic_score_gemma":0.000032253298,"teacher_disagreement_score":0.83054435,"about_ca_system_score_codex":0.0002462239,"about_ca_system_score_gemma":0.00008959992,"threshold_uncertainty_score":0.6821194},"labels":[],"label_agreement":null},{"id":"W4400120586","doi":"10.1145/3634737.3644997","title":"Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deception; Computer security; Computer science; Human–computer interaction; Psychology","score_opus":0.02908327479020014,"score_gpt":0.27016151942652894,"score_spread":0.2410782446363288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400120586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95616335,0.0025743332,0.036871653,0.00019954344,0.0022309383,0.00031243023,0.000042712953,0.00096513197,0.00063991465],"genre_scores_gemma":[0.9939883,0.000966751,0.0035827507,0.00008020852,0.0008030724,0.00010728619,0.000053253207,0.000053732096,0.00036465432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990434,0.000015118211,0.00023369408,0.00028894187,0.00013031272,0.00028854492],"domain_scores_gemma":[0.99930334,0.0004009067,0.00001083592,0.00018179714,0.00002376706,0.00007932702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009504947,0.00017310762,0.00016942954,0.00008745257,0.000071299415,0.00014625877,0.000121993035,0.00013025805,0.00020726155],"category_scores_gemma":[0.00004145812,0.00015937832,0.00013361733,0.00015017617,0.00002564047,0.0002771957,0.000026883097,0.00014945597,0.0003020394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023468832,0.000058396603,0.0059187245,0.00076278317,0.00034089957,0.000035159934,0.0012139532,0.7834092,0.015192976,0.0005548746,0.16239515,0.030094454],"study_design_scores_gemma":[0.00045988616,0.00007029193,0.0120935375,0.0005632768,0.0001161227,0.000020748543,0.00022169769,0.8979623,0.056595545,0.0012105657,0.029929558,0.00075649534],"about_ca_topic_score_codex":0.000044730998,"about_ca_topic_score_gemma":0.00007900714,"teacher_disagreement_score":0.1324656,"about_ca_system_score_codex":0.000080908154,"about_ca_system_score_gemma":0.000013931728,"threshold_uncertainty_score":0.64992595},"labels":[],"label_agreement":null},{"id":"W4400121639","doi":"10.1145/3634737.3644999","title":"Uncovering Covert Attacks on EV Charging Infrastructure: How OCPP Backend Vulnerabilities Could Compromise Your System","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Compromise; Computer science; Covert; Computer security; Malware","score_opus":0.01088854607983205,"score_gpt":0.22384851184824833,"score_spread":0.21295996576841628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400121639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9571682,0.001958767,0.007494069,0.00033326139,0.0067180223,0.00041245265,0.000083182116,0.0025950193,0.023237024],"genre_scores_gemma":[0.9979541,0.00008727668,0.00021676131,0.000069812624,0.0005672317,0.000022805301,0.000013390425,0.000058021218,0.0010106299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985814,0.000031540007,0.0002328401,0.00037115754,0.00035093972,0.00043212727],"domain_scores_gemma":[0.9993271,0.00016866304,0.00001712732,0.000330374,0.000026728181,0.00013000405],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017469624,0.00031636152,0.0002968253,0.00014396966,0.00014155773,0.0003569268,0.0002353226,0.00016088907,0.00015619153],"category_scores_gemma":[0.000025706518,0.00026315328,0.00011445671,0.00024886918,0.00006370718,0.00033036488,0.00004287403,0.00053222914,0.00016006545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004638231,0.000028053406,0.0011899818,0.006635405,0.0002757867,0.00022158433,0.0038776195,0.89462364,0.015159652,0.018487658,0.056520384,0.0029338258],"study_design_scores_gemma":[0.0005783834,0.00011949701,0.0013718109,0.0015854901,0.000047810066,0.00014954273,0.0038568114,0.8558925,0.031199707,0.00027257425,0.1039211,0.001004783],"about_ca_topic_score_codex":0.000027748936,"about_ca_topic_score_gemma":0.000014378219,"teacher_disagreement_score":0.047400717,"about_ca_system_score_codex":0.00031678352,"about_ca_system_score_gemma":0.00003469202,"threshold_uncertainty_score":0.99998206},"labels":[],"label_agreement":null},{"id":"W4400145273","doi":"10.1016/j.epsr.2024.110774","title":"Intelligent alarm flood management for power systems","year":2024,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hitachi (Canada)","funders":"Bundesministerium für Bildung und Forschung","keywords":"ALARM; Flood myth; Power (physics); Electric power system; Computer science; Power management; Engineering; Electrical engineering; Geography","score_opus":0.02800961146993379,"score_gpt":0.3109876657952503,"score_spread":0.2829780543253165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400145273","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061730545,0.45146567,0.29647782,0.00040314958,0.039550893,0.01162973,0.00011051049,0.0033593078,0.13527238],"genre_scores_gemma":[0.9898917,0.0012694086,0.000025481802,0.000005622355,0.00024956718,0.00085211603,0.000008549869,0.00008844084,0.0076091136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649817,0.00017174208,0.0004785898,0.0005375063,0.0010840966,0.0012299073],"domain_scores_gemma":[0.99863714,0.00040082217,0.000016308793,0.0005290256,0.00019344532,0.00022326632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022783703,0.00025725298,0.0003137109,0.0009933335,0.00021226106,0.0006239349,0.0005932286,0.00018955756,0.00003961723],"category_scores_gemma":[0.000057636968,0.00022367608,0.00013737271,0.0017905382,0.000044486344,0.00016362261,0.00009300964,0.00067510665,0.00075451774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012551302,0.0003416012,0.00008974115,0.015378607,0.0021342735,0.0010852587,0.0045102434,0.045594744,0.00936387,0.1495525,0.7670154,0.0048082527],"study_design_scores_gemma":[0.00019695662,0.0002794196,0.000038729228,0.00059208344,0.000018770252,0.00009057871,0.00083380594,0.26787788,0.0019102773,0.00009558929,0.7277157,0.0003502546],"about_ca_topic_score_codex":0.00005942217,"about_ca_topic_score_gemma":0.000003659105,"teacher_disagreement_score":0.92816114,"about_ca_system_score_codex":0.00049207895,"about_ca_system_score_gemma":0.00007880167,"threshold_uncertainty_score":0.96980506},"labels":[],"label_agreement":null},{"id":"W4400238974","doi":"10.2139/ssrn.4883187","title":"Empowering 5g Sba Security: Time Series Transformer for Http/2 Anomaly Detection","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Anomaly detection; Series (stratigraphy); Computer science; Anomaly (physics); Computer security; Data mining; Geology; Physics","score_opus":0.0036610596351893195,"score_gpt":0.22069178002389603,"score_spread":0.21703072038870672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400238974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87298554,0.04826834,0.061829347,0.0007874824,0.009452001,0.0012541541,0.0001100669,0.0012294982,0.004083548],"genre_scores_gemma":[0.9861361,0.010569104,0.000091911024,0.0000149987445,0.0017723318,0.00007824875,0.00001945514,0.00013791451,0.0011799623],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99650466,0.00003331992,0.0004963868,0.0003997915,0.0002948311,0.0022710173],"domain_scores_gemma":[0.99943614,0.000041218027,0.0000773273,0.00024350341,0.00007828806,0.00012355081],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009523808,0.00046961856,0.00044667348,0.00029586972,0.00024212855,0.0002616979,0.00040393163,0.00049341924,0.000030811385],"category_scores_gemma":[0.000024423223,0.00045604858,0.0004780325,0.00018615126,0.000058542268,0.00022872149,0.000060065664,0.0059921416,0.00008341577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026374406,0.00063551805,0.000247958,0.020288963,0.019206762,0.00035443835,0.040130474,0.27251294,0.23976709,0.106274694,0.006510855,0.29143286],"study_design_scores_gemma":[0.0009648878,0.0008586292,0.00004340336,0.000871484,0.0006167475,0.0029270742,0.0017232237,0.060004454,0.038770232,0.8497262,0.041562952,0.0019307262],"about_ca_topic_score_codex":0.0000216619,"about_ca_topic_score_gemma":0.0010598393,"teacher_disagreement_score":0.7434515,"about_ca_system_score_codex":0.0012186492,"about_ca_system_score_gemma":0.00097180426,"threshold_uncertainty_score":0.9997891},"labels":[],"label_agreement":null},{"id":"W4400276571","doi":"10.1109/tifs.2024.3422876","title":"PrivGrid: Privacy-Preserving Individual Load Forecasting Service for Smart Grid","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Computer science; Smart grid; Service (business); Information privacy; Privacy protection; Computer security","score_opus":0.018390169221594446,"score_gpt":0.21957092706769007,"score_spread":0.20118075784609563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400276571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29231143,0.00036910106,0.6973791,0.0005255805,0.005225019,0.00081747223,0.00075384433,0.00087951584,0.0017389552],"genre_scores_gemma":[0.9978255,0.00017240657,0.0014074921,0.00024564168,0.00016403155,0.000083141684,0.000067277324,0.000022457662,0.000012057512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988526,0.000011067041,0.00037806202,0.00015515712,0.0003028359,0.00030026815],"domain_scores_gemma":[0.999346,0.0001680237,0.000032935794,0.00019515883,0.00014282616,0.00011506718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029256416,0.00021019616,0.00016663528,0.00018020473,0.0003070343,0.00033223213,0.00017749221,0.00015582175,0.000024040264],"category_scores_gemma":[0.000015746557,0.0002033486,0.000093614006,0.00034967766,0.000043755274,0.0014693907,0.000006346957,0.00037141115,0.000026433841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031563014,0.00016033887,0.00008520703,0.01346281,0.001016272,0.000017035238,0.1574377,0.38933575,0.0003757877,0.012413539,0.044839866,0.38054007],"study_design_scores_gemma":[0.0004314347,0.00007907582,0.000057908586,0.00021124225,0.000062972336,0.000041752573,0.0005036078,0.91350085,0.0036343404,0.0031929414,0.07795226,0.00033159292],"about_ca_topic_score_codex":0.000036533525,"about_ca_topic_score_gemma":0.00013682908,"teacher_disagreement_score":0.7055141,"about_ca_system_score_codex":0.000074269694,"about_ca_system_score_gemma":0.000059709895,"threshold_uncertainty_score":0.8292315},"labels":[],"label_agreement":null},{"id":"W4400315026","doi":"10.1109/tsg.2024.3423654","title":"Data-Enabled Modeling and PMU-Based Real-Time Localization of EV-Based Load-Altering Attacks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Computer science; Control theory (sociology); Real-time computing; Control (management); Artificial intelligence","score_opus":0.022440923657391133,"score_gpt":0.2503986492764616,"score_spread":0.22795772561907046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400315026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05016559,0.00025614508,0.94686645,0.000058546084,0.0014084843,0.00018762445,0.0002697698,0.000505775,0.00028163215],"genre_scores_gemma":[0.99829835,0.00024317356,0.0011706385,0.00003350595,0.0000865631,0.000020729562,0.000054691638,0.00005207703,0.00004025812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986983,0.000043275773,0.00034267834,0.0003709054,0.00029271268,0.0002521162],"domain_scores_gemma":[0.99918514,0.00015395354,0.000020195106,0.0004832266,0.000058183505,0.00009928924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003195498,0.00021289529,0.0002345207,0.00022511036,0.00013082297,0.000070717484,0.00019266375,0.00012203875,0.000089436115],"category_scores_gemma":[0.000006475738,0.00021349617,0.00006974277,0.00039125496,0.0000654827,0.00030940463,0.000001911723,0.0002481603,0.000040088973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033926026,0.0000405157,0.000007526735,0.00046415132,0.000039271563,0.0000090649655,0.00011020149,0.98372674,0.014216785,0.0000040901896,0.00029516127,0.0010525823],"study_design_scores_gemma":[0.0002922606,0.000050136336,0.000004733501,0.00034782992,0.00006766158,0.0000048166467,0.000018214683,0.9537853,0.043728635,0.000009124631,0.0014820376,0.000209237],"about_ca_topic_score_codex":0.000115454415,"about_ca_topic_score_gemma":0.000096553544,"teacher_disagreement_score":0.94813275,"about_ca_system_score_codex":0.00008963046,"about_ca_system_score_gemma":0.0001174975,"threshold_uncertainty_score":0.8706121},"labels":[],"label_agreement":null},{"id":"W4400412004","doi":"10.1109/jsyst.2024.3420950","title":"RESP: A Real-Time Early Stage Prediction Mechanism for Cascading Failures in Smart Grid Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Smart grid; Computer science; Cascading failure; Mechanism (biology); Real-time computing; Distributed computing; Electric power system; Engineering; Power (physics); Electrical engineering","score_opus":0.011311230730951742,"score_gpt":0.2265578166494554,"score_spread":0.21524658591850365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400412004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9262235,0.0030687244,0.027231233,0.00006438035,0.040264603,0.0010563295,0.0002385263,0.0006854839,0.0011671771],"genre_scores_gemma":[0.99469566,0.00034661806,0.000068722555,0.0000027441176,0.0035649615,0.00009708048,0.0000042193096,0.00006447374,0.001155516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811214,0.00012059764,0.00066458486,0.0002415048,0.00038760045,0.00047355224],"domain_scores_gemma":[0.99933994,0.0001608585,0.00006894669,0.00017452269,0.000089072506,0.00016667423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011678479,0.00022006364,0.00033171667,0.00046039338,0.00016729163,0.0006101347,0.00020295652,0.00021042429,0.0000073089122],"category_scores_gemma":[0.00003451538,0.00019447402,0.00012830595,0.0002886825,0.000020528381,0.0004880606,0.000011090656,0.00050869974,0.000054544544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009013215,0.000039262006,0.00066628004,0.003807091,0.0004143062,0.0011254379,0.0064702993,0.755448,0.1842445,0.009489148,0.038009115,0.00019643972],"study_design_scores_gemma":[0.0006614113,0.00022343994,0.00034482148,0.0035763865,0.000047889025,0.0017967169,0.0007321487,0.96133137,0.002139739,0.00014781667,0.028567094,0.0004311593],"about_ca_topic_score_codex":0.0006173743,"about_ca_topic_score_gemma":0.00007226022,"teacher_disagreement_score":0.20588338,"about_ca_system_score_codex":0.00034274196,"about_ca_system_score_gemma":0.000067597255,"threshold_uncertainty_score":0.79304206},"labels":[],"label_agreement":null},{"id":"W4400420714","doi":"10.1016/j.procs.2024.06.137","title":"Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Computer science; Reinforcement learning; Flexibility (engineering); Efficient energy use; Energy consumption; Anomaly detection; Reliability (semiconductor); Cyber-physical system; Adaptation (eye); Resource efficiency; Risk analysis (engineering); Distributed computing; Artificial intelligence","score_opus":0.005340990691195734,"score_gpt":0.21017058282273524,"score_spread":0.2048295921315395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400420714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53906006,0.0012202378,0.45842502,0.0000032721223,0.00091458403,0.00004154268,1.7116821e-7,0.00014094495,0.00019418437],"genre_scores_gemma":[0.9987288,0.000057053778,0.0009160741,0.0000056312756,0.00027361122,0.000004359546,3.4386494e-7,0.000009211314,0.0000048756356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879754,0.000011769505,0.00020158647,0.00030553498,0.00037247222,0.00031112175],"domain_scores_gemma":[0.9996154,0.0000794199,0.000025705804,0.00011366606,0.0000640454,0.00010181844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030036786,0.00012734722,0.00015951273,0.00017813282,0.00014918912,0.00017281304,0.00023819767,0.000033099,9.673157e-7],"category_scores_gemma":[0.000020981088,0.00011339861,0.000029858282,0.0007487616,0.00025128064,0.00038733237,0.0001558062,0.00015671403,0.0000021740543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011977703,0.000012677115,0.000103434584,0.00066415884,0.000007988523,0.000008358811,0.008359929,0.94339406,0.03919262,0.005139045,0.0000048289035,0.0031116812],"study_design_scores_gemma":[0.000038078437,0.000048812235,0.000034235738,0.00022770758,0.000006274542,0.00003590494,0.000070082395,0.9729964,0.02619852,0.00007129494,0.0001394776,0.00013320547],"about_ca_topic_score_codex":0.000030768846,"about_ca_topic_score_gemma":0.000003010074,"teacher_disagreement_score":0.4596688,"about_ca_system_score_codex":0.000058379,"about_ca_system_score_gemma":0.00008163992,"threshold_uncertainty_score":0.4624261},"labels":[],"label_agreement":null},{"id":"W4400446800","doi":"10.1145/3632775.3661966","title":"On Brittleness of Data-Driven Distribution System State Estimation to Targeted Attacks","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Universitas Brawijaya","keywords":"Estimation; Computer science; Brittleness; State (computer science); Computer security; Environmental science; Materials science; Engineering; Algorithm; Systems engineering; Metallurgy","score_opus":0.013657412403418985,"score_gpt":0.2574610118182572,"score_spread":0.24380359941483823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400446800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38712844,0.00013842435,0.61005455,0.000047025525,0.00078825944,0.0002020419,0.00065776997,0.00053199497,0.0004514758],"genre_scores_gemma":[0.9988476,0.000009317298,0.00061345374,0.00000511814,0.0000267622,0.000009275529,0.0004355242,0.0000093492845,0.00004362294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994403,0.000011184951,0.00014821575,0.00014694546,0.00014654816,0.0001068114],"domain_scores_gemma":[0.9996404,0.000052999207,0.0000072411076,0.00023638562,0.000020052476,0.000042909596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100501886,0.00006989438,0.000090989444,0.000044285418,0.00002080655,0.00003587174,0.00016488721,0.000031498123,0.00001629675],"category_scores_gemma":[0.000017098539,0.00006067378,0.000016062557,0.0002145454,0.000010984614,0.00018121855,0.000040068342,0.00006150037,0.00012978981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008289865,0.000011598115,0.00003135601,0.0008757904,0.000027784561,0.000010501982,0.00017643288,0.9712774,0.0020453061,0.0054656365,0.011919348,0.008150532],"study_design_scores_gemma":[0.00004031942,0.000022246466,0.00069941295,0.00025955547,0.0000074848954,0.0000030267308,0.00003008042,0.9875891,0.008932747,0.000033539705,0.0023026436,0.000079814905],"about_ca_topic_score_codex":0.00003195212,"about_ca_topic_score_gemma":0.00001945911,"teacher_disagreement_score":0.61171913,"about_ca_system_score_codex":0.00006222954,"about_ca_system_score_gemma":0.000012429515,"threshold_uncertainty_score":0.24742049},"labels":[],"label_agreement":null},{"id":"W4400446999","doi":"10.1109/ticps.2024.3424769","title":"Deep Learning Detection and Robust MPC Mitigation for EV-Based Load-Altering Attacks on Wind-Integrated Power Grids","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Wind power; Computer science; Power (physics); Electrical engineering; Engineering; Physics","score_opus":0.019676439309994423,"score_gpt":0.23223052617392723,"score_spread":0.2125540868639328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400446999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49717048,0.00007866224,0.49543172,0.00004261056,0.0057498747,0.0006683685,0.00003772858,0.0006460948,0.00017447733],"genre_scores_gemma":[0.99857014,0.000008618202,0.00002216707,0.000008651963,0.001046159,0.00016112941,0.000009266032,0.00006551452,0.00010832223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984319,0.0001066688,0.0003366531,0.00042201622,0.00034975546,0.00035299105],"domain_scores_gemma":[0.99912,0.00045837046,0.00003865445,0.00016204227,0.000070886315,0.00015007464],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022672687,0.00031135613,0.00031782562,0.0001971361,0.0003176311,0.00026152408,0.00009421878,0.00034198412,0.000011510414],"category_scores_gemma":[0.000023464387,0.00028686633,0.0001801094,0.00047508877,0.000066117456,0.00023725918,5.9259065e-7,0.0010321243,0.000038819067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012981494,0.00005824017,0.0000036684526,0.00012286605,0.00007968101,0.0000050030603,0.0003382802,0.95830417,0.028528119,0.000042122723,0.00006424175,0.01232379],"study_design_scores_gemma":[0.000892346,0.00064328185,0.000021199448,0.00065254676,0.00007959231,0.000009953903,0.00024358674,0.9083043,0.0846249,0.000009422487,0.0041583516,0.00036053706],"about_ca_topic_score_codex":0.00012661502,"about_ca_topic_score_gemma":0.000048083748,"teacher_disagreement_score":0.5013997,"about_ca_system_score_codex":0.0004009396,"about_ca_system_score_gemma":0.000056812714,"threshold_uncertainty_score":0.99995834},"labels":[],"label_agreement":null},{"id":"W4400452414","doi":"10.1007/978-981-97-3948-6_19","title":"Optimal Deception Attacks on Remote State Estimation with Heterogeneous Vulnerabilities","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deception; State (computer science); Computer science; Computer security; Estimation; Political science; Law; Algorithm; Engineering","score_opus":0.01772500418254807,"score_gpt":0.25957220219589106,"score_spread":0.24184719801334298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400452414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016112585,0.0015895613,0.66545546,0.0005580807,0.0012861473,0.0011735356,0.00010018179,0.00080812187,0.31291634],"genre_scores_gemma":[0.77713907,0.013375675,0.20407276,0.0006158148,0.0001323941,0.000057693265,0.00035502252,0.00008223496,0.0041693244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897933,0.000009253125,0.00037902515,0.00016212327,0.00030729675,0.00016295785],"domain_scores_gemma":[0.99886715,0.00010094691,0.00006532754,0.00078932184,0.00011547598,0.00006179824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032290016,0.00019355494,0.00015563778,0.0005892111,0.00023455768,0.0003403327,0.00058670406,0.00008434046,0.000008511459],"category_scores_gemma":[0.000009040482,0.0001710329,0.000025660054,0.00019619979,0.000657353,0.001744743,0.00023977658,0.00043638604,0.00010453199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005757943,0.0000042071647,0.0000024576125,0.00010333177,0.000007385245,7.1775787e-7,0.0024676078,0.8766617,0.0000022832128,0.015452716,0.00008784138,0.10520395],"study_design_scores_gemma":[0.0000941762,0.00007975453,0.000062363855,0.00042618427,0.000004669211,0.000039293685,0.000019254476,0.97722495,0.00003403959,0.0026244782,0.019175248,0.00021556934],"about_ca_topic_score_codex":0.000005380881,"about_ca_topic_score_gemma":0.000019316903,"teacher_disagreement_score":0.7610265,"about_ca_system_score_codex":0.00016340597,"about_ca_system_score_gemma":0.000061990206,"threshold_uncertainty_score":0.6974519},"labels":[],"label_agreement":null},{"id":"W4400489440","doi":"10.1109/tnsm.2024.3423762","title":"Authentication of Smart Grid by Integrating QKD and Blockchain in SCADA Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Blockchain; SCADA; Smart grid; Internet of Things; Computer science; Authentication (law); Grid; Computer security; Computer network; Engineering; Electrical engineering; Geology","score_opus":0.004897634748142978,"score_gpt":0.1902326991166655,"score_spread":0.1853350643685225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400489440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77241623,0.007526781,0.21243519,0.0005961417,0.003569401,0.0007688616,0.00003141734,0.0003153232,0.0023406364],"genre_scores_gemma":[0.99806,0.001596417,0.000116097865,0.00004151104,0.000046132434,0.000040377556,0.0000021264045,0.000012030544,0.00008531199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939626,0.000022422582,0.00019017063,0.00015580501,0.00009432078,0.00014104029],"domain_scores_gemma":[0.99980074,0.00004754601,0.000011129235,0.00009684497,0.000008918905,0.000034805114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016056627,0.00010268262,0.00011186024,0.00009780941,0.00005518317,0.00004680591,0.000055252993,0.000044852826,0.000004847704],"category_scores_gemma":[1.837907e-7,0.00009596967,0.000017321161,0.00035147584,0.000016912914,0.000045501907,0.0000018777267,0.00013513441,0.000002761939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019597112,0.000055103934,0.000055094883,0.0028552013,0.00014000233,0.000009815826,0.0022181594,0.9649667,0.00038565695,0.0013537112,0.0011318073,0.026809113],"study_design_scores_gemma":[0.00015351237,0.000031888892,0.00016786843,0.00070691115,0.00004499887,0.000003817119,0.0008776589,0.9930726,0.00023706313,0.000053553922,0.004525744,0.00012435888],"about_ca_topic_score_codex":0.00012265565,"about_ca_topic_score_gemma":0.000402357,"teacher_disagreement_score":0.22564374,"about_ca_system_score_codex":0.000022733155,"about_ca_system_score_gemma":0.0000026943685,"threshold_uncertainty_score":0.39135295},"labels":[],"label_agreement":null},{"id":"W4400525565","doi":"10.1109/icjece.2024.3402961","title":"Consensus and Clustering Approach for Dynamic Event-Triggered Distributed Optimization of Power System Networks With Saturation Constraint Approche de consensus et de regroupement pour","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Constraint (computer-aided design); Computer science; Cluster analysis; Saturation (graph theory); Distributed computing; Mathematics; Combinatorics; Artificial intelligence","score_opus":0.003671904263775241,"score_gpt":0.17893069752870003,"score_spread":0.1752587932649248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400525565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09062578,0.0020973822,0.90693027,0.000050799932,0.00012042079,0.00012715727,0.000011525,0.000028056505,0.000008640094],"genre_scores_gemma":[0.93668765,0.000030825442,0.06318728,0.000009534559,0.000058610865,0.0000037547852,0.000007134073,0.000014294992,9.0766963e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993593,0.000019622537,0.0002352646,0.00009492524,0.000057030138,0.00023382867],"domain_scores_gemma":[0.9995045,0.00014449068,0.000035673027,0.000039494753,0.000057759386,0.00021805541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020438651,0.0001152002,0.00018097354,0.00014568219,0.000035075038,0.00007090769,0.000047957765,0.00007521365,3.4465725e-7],"category_scores_gemma":[0.000017918492,0.00009973817,0.00003419966,0.0001584436,0.000028455319,0.000030780047,0.0000048116144,0.00020436851,1.20808785e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015441856,0.000003456503,0.00006330041,0.00027799522,0.0000791416,0.00004549621,0.00018996715,0.9976441,0.00025289448,0.00056552776,0.000068012785,0.0007946312],"study_design_scores_gemma":[0.00030447432,0.00011809018,0.00035960646,0.000288897,0.000035556488,0.0015512959,0.00005623868,0.99706894,0.000060691473,0.0000054621833,0.000039011797,0.00011175846],"about_ca_topic_score_codex":0.000021047987,"about_ca_topic_score_gemma":0.000028617975,"teacher_disagreement_score":0.8460619,"about_ca_system_score_codex":0.00019692424,"about_ca_system_score_gemma":0.00020348131,"threshold_uncertainty_score":0.40672046},"labels":[],"label_agreement":null},{"id":"W4400727772","doi":"10.1109/iwcmc61514.2024.10592431","title":"Dynamic FlexEthernet Defragmentation Under Time-Varying Traffic in Multi-layer Multi-domain Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Layer (electronics); Computer network; Distributed computing; Real-time computing","score_opus":0.014985092940457172,"score_gpt":0.25900961835968356,"score_spread":0.2440245254192264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400727772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6512412,0.002709087,0.34396744,0.00007036873,0.00073063857,0.00021935694,0.0000032910677,0.0006708448,0.00038780857],"genre_scores_gemma":[0.99190223,0.00015433536,0.0070811086,0.00006647034,0.000038550446,0.000021754016,0.00002630079,0.000042707692,0.0006665435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991214,0.000033941862,0.00021680671,0.00023278756,0.00009573288,0.00029929748],"domain_scores_gemma":[0.9997426,0.00008285122,0.000008032184,0.00010373278,0.00000714523,0.000055627643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015939742,0.00016357386,0.00012937233,0.00013856955,0.000038480954,0.00007587996,0.00010247009,0.00013209066,0.00020741766],"category_scores_gemma":[0.0000035626824,0.00015053587,0.000053104886,0.0003274781,0.000029629682,0.00018324824,0.000019875242,0.00028188282,0.00029185592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003617561,0.000032653264,0.000043468655,0.00004961581,0.000021406458,0.000023810717,0.00071952684,0.99163795,0.003628835,0.00007065448,0.00028160002,0.0034868529],"study_design_scores_gemma":[0.00039198308,0.0000093705285,0.0011565579,0.00009371203,0.000006611989,0.00000798168,0.0002079907,0.9975449,0.00015503986,0.000033511136,0.00019032435,0.00020203611],"about_ca_topic_score_codex":0.00002108151,"about_ca_topic_score_gemma":0.0005281067,"teacher_disagreement_score":0.34066108,"about_ca_system_score_codex":0.0001450303,"about_ca_system_score_gemma":0.000013592397,"threshold_uncertainty_score":0.6138674},"labels":[],"label_agreement":null},{"id":"W4400870837","doi":"10.1007/978-3-031-66708-4_1","title":"Methodological Resilience Assessment of Smart Cyber Infrastructures","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme; European Commission","keywords":"Resilience (materials science); Cyber threats; Computer science; Computer security; Physics","score_opus":0.031534666021723105,"score_gpt":0.30161699730559616,"score_spread":0.27008233128387305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400870837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019535387,0.0014925151,0.9743683,0.00009102625,0.0036035886,0.00024757357,0.000017694152,0.00019206542,0.018033728],"genre_scores_gemma":[0.7349888,0.00027350453,0.26362717,0.00020463209,0.00055205706,0.000008592338,0.000004700077,0.00005334794,0.00028720716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974997,0.000029806346,0.00049612595,0.0007654874,0.0007619537,0.0004468954],"domain_scores_gemma":[0.99837816,0.00073289213,0.00008165943,0.00060727244,0.00008707238,0.0001129397],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008311106,0.00041684211,0.00057815015,0.0005412592,0.00007643214,0.00010641335,0.0011036968,0.00039117597,0.00010521819],"category_scores_gemma":[0.00009577986,0.00032877142,0.00013859734,0.00043413835,0.0011241536,0.000141445,0.00044183133,0.0011771506,0.000014520098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005963867,0.000011848646,0.00025387833,0.00038217814,0.00003105952,0.0001131138,0.0005292313,0.8829918,0.0024801835,0.024680968,0.00009417981,0.08842562],"study_design_scores_gemma":[0.00015651678,0.00024282525,0.0048789233,0.0011179056,0.000035371457,0.000112135436,7.7256686e-7,0.66231614,0.0077963443,0.3188093,0.003606961,0.00092680025],"about_ca_topic_score_codex":0.000010395184,"about_ca_topic_score_gemma":0.000061434745,"teacher_disagreement_score":0.73303527,"about_ca_system_score_codex":0.0001801,"about_ca_system_score_gemma":0.00018746415,"threshold_uncertainty_score":0.99991643},"labels":[],"label_agreement":null},{"id":"W4400962172","doi":"10.17775/cseejpes.2023.06900","title":"Resilient Smart Power Grid Synchronization Estimation Method for System Resilience with Partial Missing Measurements","year":2024,"lang":"en","type":"article","venue":"CSEE Journal of Power and Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Resilience (materials science); Synchronization (alternating current); Power grid; Smart grid; Time synchronization; Computer science; Estimation; Power (physics); Reliability engineering; Real-time computing; Electrical engineering; Engineering; Telecommunications; Materials science","score_opus":0.010323952282713524,"score_gpt":0.23875754522968484,"score_spread":0.22843359294697133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400962172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011554028,0.010906004,0.9711994,0.000054560816,0.0053682295,0.00010924911,0.000008234172,0.00009688954,0.00070340536],"genre_scores_gemma":[0.995885,0.000054934044,0.0036041,0.0000088106435,0.00033946926,0.000011824141,0.0000035845992,0.00003177958,0.00006046991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985237,0.000091906266,0.0005319769,0.00018456276,0.00042786324,0.00023996404],"domain_scores_gemma":[0.9993036,0.00011300833,0.00011657036,0.00013172826,0.00019022092,0.00014487414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008647585,0.00018114195,0.00029441548,0.00019313292,0.00013143504,0.00023371754,0.00012042021,0.00009705175,0.0000030561907],"category_scores_gemma":[0.000042445954,0.00013293035,0.000071008304,0.00021986818,0.00003766169,0.00039016939,0.000011339065,0.00012427224,0.0000012450029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014244423,0.00003131205,0.00032282033,0.001710227,0.00028522278,0.00008435696,0.0013562462,0.979396,0.0046157534,0.0028285643,0.0043351566,0.004891937],"study_design_scores_gemma":[0.00048225347,0.00034778944,0.00022432834,0.003064124,0.00011741376,0.0011835117,0.00071203697,0.9692378,0.003423925,0.00002162823,0.020919466,0.0002657276],"about_ca_topic_score_codex":0.000026133735,"about_ca_topic_score_gemma":0.0000065262893,"teacher_disagreement_score":0.984331,"about_ca_system_score_codex":0.00017617985,"about_ca_system_score_gemma":0.0000834434,"threshold_uncertainty_score":0.54207426},"labels":[],"label_agreement":null},{"id":"W4400976364","doi":"10.1145/3664476.3670917","title":"Network Intrusion Response using Deep Reinforcement Learning in an Aircraft IT-OT Scenario","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast; Universitas Brawijaya; UK Research and Innovation; Government of the United Kingdom","keywords":"Reinforcement learning; Computer science; Intrusion; Intrusion detection system; Intrusion prevention system; Reinforcement; Artificial intelligence; Engineering; Geology; Structural engineering","score_opus":0.015571670658832894,"score_gpt":0.2504497187933555,"score_spread":0.2348780481345226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400976364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93491673,0.0007988369,0.061006024,0.0001821053,0.0010567203,0.00013593097,9.65967e-8,0.00056453753,0.0013390043],"genre_scores_gemma":[0.99787194,0.0000651867,0.00133745,0.00011557704,0.00026450117,0.0000044195485,0.0000036604806,0.000025076515,0.00031219062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998998,0.000077087054,0.00023051744,0.00019297084,0.00016070947,0.00034071002],"domain_scores_gemma":[0.99966794,0.00008619391,0.000008408103,0.00014633652,0.000012732817,0.00007840498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005426652,0.00013112782,0.00011797146,0.00014768691,0.00009806725,0.00010342202,0.00011376768,0.00009678744,0.00020431895],"category_scores_gemma":[0.00003471596,0.00012070492,0.000032015116,0.0004280905,0.000025102257,0.0002848044,0.000060797352,0.00038753997,0.00006169827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063769665,0.0000050115746,0.000787907,0.00004333926,0.000005291422,0.000063764164,0.001674254,0.9907991,0.0045308317,0.00018686776,0.00035865288,0.0014812017],"study_design_scores_gemma":[0.000101503465,0.00006277997,0.0009804297,0.00021534931,0.0000049453433,0.000012638306,0.00028012667,0.98741114,0.0004948205,0.000055903358,0.010206258,0.00017408819],"about_ca_topic_score_codex":0.000057771675,"about_ca_topic_score_gemma":0.0003121128,"teacher_disagreement_score":0.06295519,"about_ca_system_score_codex":0.00015486736,"about_ca_system_score_gemma":0.000038732833,"threshold_uncertainty_score":0.49222037},"labels":[],"label_agreement":null},{"id":"W4400977641","doi":"10.1109/icca62789.2024.10591907","title":"Performance Assessment for Stochastic Anomaly Detectors in Industrial Alarm Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"ALARM; Anomaly detection; Computer science; Detector; Anomaly (physics); Reliability engineering; Real-time computing; Data mining; Engineering; Electrical engineering; Telecommunications; Physics","score_opus":0.017862871994166578,"score_gpt":0.23982707000425496,"score_spread":0.22196419801008838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400977641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686614,0.00044962726,0.025207069,0.000018357912,0.00368575,0.00039901418,0.000007347194,0.00028084737,0.0012905515],"genre_scores_gemma":[0.9992798,0.000014076144,0.00010711805,0.0000033894578,0.00033875683,0.000103787344,0.0000029621958,0.000015723042,0.00013439957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999391,0.0000074107643,0.00016517658,0.00013044268,0.000100937825,0.00020502067],"domain_scores_gemma":[0.9997646,0.000098251105,0.0000053291765,0.00008337432,0.000008818489,0.000039606504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016596196,0.0000940576,0.00011060681,0.00011942727,0.000026581421,0.000066453016,0.000086563334,0.000087999404,0.000016620847],"category_scores_gemma":[0.000010183377,0.000079428326,0.00003080953,0.00019888813,0.000013357746,0.00012514021,0.000011953919,0.0001768149,0.000014602513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012597476,0.00002098894,0.003413553,0.0006751037,0.000043283173,0.000010745697,0.0003092033,0.98538786,0.0016007178,0.0013226597,0.0017612949,0.005441981],"study_design_scores_gemma":[0.00021236342,0.00005739387,0.0015217406,0.00014875305,0.0000067905808,0.000005590459,0.00008553129,0.9951714,0.0004019597,0.0000060137577,0.0022617914,0.0001206264],"about_ca_topic_score_codex":0.000026616033,"about_ca_topic_score_gemma":0.00003328298,"teacher_disagreement_score":0.030618353,"about_ca_system_score_codex":0.000102277285,"about_ca_system_score_gemma":0.00004073781,"threshold_uncertainty_score":0.3238993},"labels":[],"label_agreement":null},{"id":"W4400985362","doi":"10.23977/cpcs.2024.080106","title":"Research on Communication Technology Security Strategies for Power Systems and Automation in the Information Age","year":2024,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automation; Electric power industry; Process automation system; Power transmission; Scope (computer science); Electric power system; Workload; Information technology; Computer science; Electric power; Telecommunications; Computer security; Information security; Engineering; Power (physics); Electrical engineering; Electricity","score_opus":0.028441393322038506,"score_gpt":0.3093870400118899,"score_spread":0.2809456466898514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400985362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98172987,0.0114714205,0.0021132322,0.0003085403,0.0002336979,0.0007227313,0.0000040356517,0.00026985997,0.0031465893],"genre_scores_gemma":[0.9980234,0.0017024108,0.000064437925,0.000013573034,0.00001934538,0.00013452808,0.000029940798,0.000007622017,0.0000047749845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990517,0.0001873053,0.00031837923,0.000097559685,0.00017255273,0.00017248666],"domain_scores_gemma":[0.9988726,0.0004920917,0.00003853811,0.00049405155,0.00008539666,0.000017320017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020598087,0.00009677423,0.00012342722,0.0003746133,0.00041867263,0.00066687464,0.00037161625,0.00012101647,2.296844e-7],"category_scores_gemma":[0.000016972399,0.00007626071,0.000012405469,0.0005226428,0.00014395613,0.0006212002,0.00008088559,0.00045117023,0.0000074366953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002871599,0.00005393177,0.0014214016,0.0044348584,0.000049554415,0.0000014125744,0.08281813,0.20685537,0.00009877102,0.685672,0.0044409395,0.014124944],"study_design_scores_gemma":[0.00013047313,0.000061816056,0.0022951837,0.00097451004,0.0000029466535,0.000023204182,0.02400693,0.95373625,0.000009512663,0.00051522406,0.018148866,0.00009509596],"about_ca_topic_score_codex":0.000044162753,"about_ca_topic_score_gemma":0.000013178679,"teacher_disagreement_score":0.7468809,"about_ca_system_score_codex":0.00005294278,"about_ca_system_score_gemma":0.0000226745,"threshold_uncertainty_score":0.64306873},"labels":[],"label_agreement":null},{"id":"W4401075221","doi":"10.1007/978-3-031-65154-0_14","title":"Integration of PBFT and Raft Algorithms with Recurrent Neural Networks to Improve the Reliability of Distributed Systems","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lachine Hospital","funders":"","keywords":"Computer science; Raft; Reliability (semiconductor); Distributed algorithm; Artificial neural network; Distributed computing; Consensus algorithm; Algorithm; Artificial intelligence","score_opus":0.006435596482738591,"score_gpt":0.20925404589528412,"score_spread":0.20281844941254554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401075221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007541774,0.0013667463,0.9881089,0.00010613949,0.0022734285,0.00046120505,0.000039813924,0.000041690455,0.00006033295],"genre_scores_gemma":[0.9965166,0.0000547524,0.0031553914,0.000016867521,0.00021540777,0.000008645858,0.0000069145035,0.000014162011,0.000011296551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876106,0.000013070611,0.0003175133,0.00039508945,0.0003193528,0.00019390328],"domain_scores_gemma":[0.99911875,0.00024125224,0.000070374765,0.00038378703,0.00012902454,0.000056820107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037431554,0.0002180297,0.00029929364,0.00012591234,0.00004421367,0.00007347067,0.0003956228,0.00013007918,8.684032e-7],"category_scores_gemma":[0.00003433646,0.00012807635,0.00003878478,0.00031758673,0.00048618697,0.00007850657,0.00016010036,0.0005133591,3.690532e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008218815,0.0000044736685,0.000022635226,0.00017610982,0.0000065485583,0.0000028733807,0.00046587907,0.95309526,0.00017277044,0.0003766142,0.000007747511,0.04566085],"study_design_scores_gemma":[0.000053327007,0.00016982769,0.0001798154,0.00064060907,0.000013072962,0.000012154262,0.0000013648622,0.9973912,0.00050964404,0.00076345494,0.00011732934,0.00014815787],"about_ca_topic_score_codex":0.000033910674,"about_ca_topic_score_gemma":0.0000640045,"teacher_disagreement_score":0.9889748,"about_ca_system_score_codex":0.00007423996,"about_ca_system_score_gemma":0.000036570593,"threshold_uncertainty_score":0.5222802},"labels":[],"label_agreement":null},{"id":"W4401180692","doi":"10.1007/978-3-031-33328-6_25","title":"Pipeline Emergency Response Protocols and Incident Investigation","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Emergency response; Pipeline (software); Computer science; Petroleum engineering; Medical emergency; Medicine; Engineering; Operating system","score_opus":0.018673396618217444,"score_gpt":0.24786198599682,"score_spread":0.22918858937860254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401180692","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004911095,0.0030826929,0.00050521694,0.0004716491,0.0015109563,0.011935432,0.000046161793,0.0012137527,0.97632307],"genre_scores_gemma":[0.003723602,0.0004995184,0.00015266224,0.000033794775,0.000388985,0.0011029193,0.00001614933,0.00007587085,0.9940065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991794,0.0000072839157,0.0002911571,0.00022192125,0.00017989954,0.00012034315],"domain_scores_gemma":[0.99962676,0.000028903372,0.00002503148,0.00019196323,0.000030621384,0.00009674559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019712649,0.00022000672,0.00016894407,0.00014362493,0.000032130643,0.000030969433,0.00009089164,0.0002346925,0.00067671115],"category_scores_gemma":[0.00002228012,0.00019296263,0.000049209117,0.000031412084,0.0000522349,0.00006642162,0.000059716484,0.00031954248,0.00032612195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038048677,0.000018326833,0.00023650691,0.0054740757,0.00022690129,0.00032632932,0.0033743675,0.0020011791,0.006289778,0.38826555,0.58828515,0.005121322],"study_design_scores_gemma":[0.00011972023,0.00006969297,0.00033418843,0.0006881245,0.0000380064,0.00003189651,0.000015015347,0.008600776,0.0012668294,0.053597186,0.93469566,0.0005429218],"about_ca_topic_score_codex":0.0000042806455,"about_ca_topic_score_gemma":0.000043162883,"teacher_disagreement_score":0.34641045,"about_ca_system_score_codex":0.000042116528,"about_ca_system_score_gemma":0.00002591212,"threshold_uncertainty_score":0.78687876},"labels":[],"label_agreement":null},{"id":"W4401210570","doi":"10.1109/access.2024.3437192","title":"On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Western University","funders":"","keywords":"Computer security; Electric vehicle; Computer science; Telecommunications","score_opus":0.010901080819382836,"score_gpt":0.24710123370439493,"score_spread":0.2362001528850121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401210570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996382,0.0011046358,0.000331853,0.000046881207,0.001198028,0.00009944976,0.000010591564,0.0003845133,0.00044204365],"genre_scores_gemma":[0.99930245,0.00024116218,0.000016677188,0.00011607474,0.00025481408,0.000007734395,0.0000016089721,0.000026569138,0.00003289242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993042,0.000014094154,0.000109968045,0.00021233133,0.000116910924,0.00024252347],"domain_scores_gemma":[0.99960583,0.00014258466,0.000008552361,0.00014772295,0.000012740513,0.0000825802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006013014,0.00013945527,0.000108374144,0.00015899767,0.00009210821,0.00041635943,0.00013016678,0.00008826372,0.000035691068],"category_scores_gemma":[0.000022323606,0.00012449535,0.000029593471,0.00039198628,0.000024408198,0.0005839141,0.000027749205,0.00034005818,0.000027612594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018903629,0.00022176988,0.021247832,0.0054982817,0.0009819005,0.06661443,0.027832868,0.26262996,0.15174358,0.02912887,0.19884183,0.23506966],"study_design_scores_gemma":[0.0005122992,0.00009264826,0.008491727,0.00037666934,0.000073737334,0.00307874,0.000108786444,0.9091751,0.054184712,0.0039298814,0.019041987,0.00093370694],"about_ca_topic_score_codex":0.00005987423,"about_ca_topic_score_gemma":0.000038427494,"teacher_disagreement_score":0.6465452,"about_ca_system_score_codex":0.000038372764,"about_ca_system_score_gemma":0.000012971459,"threshold_uncertainty_score":0.5076773},"labels":[],"label_agreement":null},{"id":"W4401436976","doi":"10.21926/jept.2403015","title":"Probabilistic Modeling of Cyber-Physical Microgrid Systems to Evaluate the Reliability and Resiliency Implications of Cyber Attacks","year":2024,"lang":"en","type":"article","venue":"Journal of Energy and Power Technology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cyber-physical system; Reliability (semiconductor); Microgrid; Probabilistic logic; Computer security; Computer science; Reliability engineering; Resilience (materials science); Cyber threats; Risk analysis (engineering); Engineering; Business; Artificial intelligence","score_opus":0.008187903382001727,"score_gpt":0.2512522132430753,"score_spread":0.24306430986107355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401436976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854509,0.009801225,0.0030723808,0.0010091483,0.0003122825,0.00007550575,0.0000076502965,0.000030704323,0.00024020209],"genre_scores_gemma":[0.999111,0.0006508292,0.00015460401,0.000008076109,0.000050217423,0.0000072167827,2.7466896e-7,0.000008681751,0.000009079931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922025,0.000032491265,0.00038519598,0.00012388967,0.00010795561,0.00013023136],"domain_scores_gemma":[0.99938923,0.00014567518,0.000047433983,0.00021702284,0.0001566055,0.000044011886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155051,0.000095551106,0.00024814898,0.00018156045,0.000042128155,0.000013451262,0.00018029008,0.00011609695,0.0000021539133],"category_scores_gemma":[0.00010666867,0.00006162741,0.000053409636,0.00033257995,0.00019750067,0.000064059524,0.000055379856,0.000219669,3.5184812e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007145899,0.00016647275,0.0013120947,0.00061473553,0.00023310044,0.000013274042,0.001970325,0.76830846,0.06889415,0.15067346,0.0011680928,0.006574359],"study_design_scores_gemma":[0.0009056885,0.0018415055,0.004273094,0.0018926455,0.0005046496,0.0016799195,0.0016000144,0.83001107,0.026402613,0.09744846,0.03269271,0.00074762356],"about_ca_topic_score_codex":0.000014811543,"about_ca_topic_score_gemma":0.000011608344,"teacher_disagreement_score":0.06170261,"about_ca_system_score_codex":0.00002132885,"about_ca_system_score_gemma":0.000036051166,"threshold_uncertainty_score":0.2513093},"labels":[],"label_agreement":null},{"id":"W4401507023","doi":"10.1109/access.2024.3441931","title":"Quantum Entropy and Reinforcement Learning for Distributed Denial of Service Attack Detection in Smart Grid","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cégep de l'Outaouais; Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"","keywords":"Denial-of-service attack; Computer science; Reinforcement learning; Grid; Computer security; Distributed computing; Entropy (arrow of time); Quantum; Smart grid; Artificial intelligence; The Internet; Mathematics; World Wide Web; Quantum mechanics; Engineering","score_opus":0.01904384448440286,"score_gpt":0.27538222020493647,"score_spread":0.2563383757205336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401507023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9402491,0.00027682335,0.05775032,0.000051445044,0.0013782288,0.00017167264,0.000008853362,0.00009293227,0.00002067125],"genre_scores_gemma":[0.9996486,0.0000930834,0.000016298285,0.000011833681,0.0001679978,0.000028634833,0.000015874202,0.000010995131,0.000006740752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994681,0.000010535591,0.0001716006,0.00011768945,0.0000835923,0.00014851481],"domain_scores_gemma":[0.9997912,0.00007586733,0.00001614047,0.00006182287,0.000025499385,0.000029453819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093912626,0.00007931776,0.00010581573,0.000078254096,0.000034896777,0.00006124254,0.00009744978,0.000055162956,0.000006660396],"category_scores_gemma":[0.000018334786,0.000076746684,0.000024519839,0.00025093264,0.0000142406625,0.00024161948,0.000022825217,0.00013054731,0.000002910139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088098066,0.000014155791,0.0029027844,0.0017924217,0.0000458931,0.000010032659,0.00086538924,0.954064,0.03590558,0.00015181456,0.00052033336,0.0036394557],"study_design_scores_gemma":[0.00027397074,0.000042604443,0.003492421,0.000120898796,0.0000129018235,0.0000041764806,0.0000376589,0.9263782,0.06486729,0.000058283153,0.004608334,0.00010329924],"about_ca_topic_score_codex":0.00012408303,"about_ca_topic_score_gemma":0.00040180841,"teacher_disagreement_score":0.059399486,"about_ca_system_score_codex":0.000036978257,"about_ca_system_score_gemma":0.000009946236,"threshold_uncertainty_score":0.31296387},"labels":[],"label_agreement":null},{"id":"W4401567441","doi":"10.1109/access.2024.3443312","title":"Cybersecurity Deployment in Smart Grids: Critical Review, Applications, Protection, and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Software deployment; Computer security; Computer science; Smart grid; Critical infrastructure; Engineering; Software engineering; Electrical engineering","score_opus":0.04825589518981877,"score_gpt":0.3013438400456722,"score_spread":0.25308794485585345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401567441","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035061162,0.9434951,0.007698473,0.007511218,0.0017457249,0.0015351577,0.000014072198,0.00088201894,0.0020570473],"genre_scores_gemma":[0.77552056,0.22336394,0.000044281394,0.000118014825,0.00022341422,0.0007041837,0.0000013093106,0.00001753313,0.0000067685633],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992876,0.000025937585,0.0001761911,0.00022740118,0.00011781881,0.00016502588],"domain_scores_gemma":[0.99969375,0.00006536893,0.000005692424,0.00015529507,0.00002024117,0.00005962696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019972371,0.00010353121,0.00012699429,0.00008064609,0.00004066104,0.00007657482,0.0001489639,0.000061716004,0.00001740567],"category_scores_gemma":[0.000027215046,0.00009603449,0.000023922772,0.00022805978,0.00005334367,0.0003122519,0.000030041852,0.00022145617,0.000031367228],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035908368,0.00066629075,0.003032208,0.16315834,0.00024532434,0.00037979896,0.005110251,0.0021035217,0.0030460225,0.05000825,0.04719564,0.72501844],"study_design_scores_gemma":[0.00032351527,0.00006534906,0.0090025775,0.008538518,0.0000806202,0.00015886112,0.00015934295,0.02234343,0.007151524,0.01012631,0.94110477,0.00094517897],"about_ca_topic_score_codex":0.00003245222,"about_ca_topic_score_gemma":0.00014106077,"teacher_disagreement_score":0.89390916,"about_ca_system_score_codex":0.000038661965,"about_ca_system_score_gemma":0.000013040884,"threshold_uncertainty_score":0.39161727},"labels":[],"label_agreement":null},{"id":"W4401630802","doi":"10.1016/j.ifacol.2024.07.301","title":"Resilience Metrics in Power &amp; Control Systems: Comparative Analysis","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Resilience (materials science); Power (physics); Environmental science; Control (management); Computer science; Risk analysis (engineering); Reliability engineering; Engineering; Artificial intelligence; Business; Materials science; Physics","score_opus":0.014865501987613512,"score_gpt":0.2671413762472839,"score_spread":0.2522758742596704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401630802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9311403,0.032637537,0.02662922,0.00029539608,0.0018762845,0.00044314194,0.00023308604,0.00067348505,0.006071559],"genre_scores_gemma":[0.99550635,0.00023647198,0.0036082075,0.000048339527,0.00012564751,0.000022745075,0.000028268125,0.000015719248,0.0004082488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984906,0.00006899363,0.00037106566,0.00035690132,0.0003395162,0.00037292775],"domain_scores_gemma":[0.9991542,0.0003740268,0.000023748933,0.0002857233,0.000048018486,0.00011429729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003168067,0.00022783547,0.00048302088,0.00078340445,0.000050976058,0.00012053709,0.00024929672,0.00012844524,0.00010798196],"category_scores_gemma":[0.00006920548,0.00019609422,0.00015762374,0.0035087806,0.000079635654,0.0002068798,0.00002193746,0.0003843973,0.00022460258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025018417,0.000075224554,0.0061612288,0.0002001262,0.0007048072,0.00013541519,0.0042614085,0.98343825,0.0034353249,0.0011245202,0.00018516403,0.00025350004],"study_design_scores_gemma":[0.00035990143,0.000037345966,0.0074777156,0.00013003065,0.00022379457,0.000013024579,0.0010464856,0.9790146,0.00014484301,0.000013210616,0.011156008,0.00038303604],"about_ca_topic_score_codex":0.000121965204,"about_ca_topic_score_gemma":0.00078304944,"teacher_disagreement_score":0.064366065,"about_ca_system_score_codex":0.000139279,"about_ca_system_score_gemma":0.00003315696,"threshold_uncertainty_score":0.799649},"labels":[],"label_agreement":null},{"id":"W4401691945","doi":"10.1109/tcns.2024.3445581","title":"Optimal Stealthy Deterministic Attack Strategies on Cyber-Physical Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Cyber-physical system; Computer science; Computer security","score_opus":0.01319915944782933,"score_gpt":0.24662790392913655,"score_spread":0.23342874448130724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401691945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15064698,0.0042075715,0.82241,0.00003899424,0.018460842,0.0009972301,0.00017069964,0.0008434961,0.002224171],"genre_scores_gemma":[0.99809754,0.000090545516,0.000014119069,0.000011198015,0.0014039857,0.0001575029,0.0000019634688,0.00005820444,0.00016494496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981914,0.00013566857,0.0005151152,0.0003201884,0.00038048916,0.00045714166],"domain_scores_gemma":[0.9987111,0.00070701516,0.000052128125,0.00034229396,0.000047791553,0.00013966124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022561869,0.00031056715,0.0005672103,0.00014368081,0.00013250746,0.00021193548,0.00020938375,0.00016609527,0.0000068907957],"category_scores_gemma":[0.0000018217415,0.00027107104,0.00021650166,0.00031792067,0.00008639827,0.00017970863,6.2427864e-7,0.00047760806,0.00012530723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008116334,0.00006189054,0.000001347933,0.0007310779,0.00022061891,0.00004601725,0.00027784985,0.99569553,0.00032041135,0.0010791714,0.00086993095,0.00061501365],"study_design_scores_gemma":[0.00043981327,0.00047235173,0.000016820088,0.0009991827,0.00010908582,0.000044163513,0.00030693228,0.9939169,0.000083029256,0.000006923911,0.0033469324,0.00025783142],"about_ca_topic_score_codex":0.00003767906,"about_ca_topic_score_gemma":0.000019387177,"teacher_disagreement_score":0.84745055,"about_ca_system_score_codex":0.00010368317,"about_ca_system_score_gemma":0.000074937954,"threshold_uncertainty_score":0.99997413},"labels":[],"label_agreement":null},{"id":"W4401880321","doi":"10.1109/icps59941.2024.10640058","title":"FDI Attack Detection Based on L<sub>2</sub> Gain Performance Adaptive Integral Sliding Mode Observer","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Observer (physics); Mode (computer interface); Computer science; Integral sliding mode; Sliding mode control; Artificial intelligence; Physics; Control (management); Nonlinear system","score_opus":0.01809461732587132,"score_gpt":0.2215342661757489,"score_spread":0.20343964884987759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401880321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94515634,0.00012506639,0.04909678,0.000030990246,0.0012047155,0.000118281496,0.000004556306,0.0007527533,0.0035105476],"genre_scores_gemma":[0.9993217,0.000067550645,0.00022477796,0.00006375702,0.00019250716,0.000021804444,0.000003992828,0.00003248229,0.00007142133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991376,0.000021517304,0.00014943587,0.00023202787,0.00018666557,0.00027277824],"domain_scores_gemma":[0.99965703,0.000087993554,0.00000831735,0.00015763498,0.000020914915,0.00006808747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012493209,0.00017737987,0.00011675877,0.00013295718,0.000088328656,0.00006452562,0.00010693487,0.00010484461,0.000028301365],"category_scores_gemma":[0.000013962155,0.00014851749,0.00008291394,0.00030789906,0.000022319326,0.00027804766,0.000016986636,0.00037034528,0.0002501961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003554923,0.00001687058,0.000091954294,0.00016068733,0.000022163063,0.000014864565,0.00032293564,0.9001585,0.08020474,0.00037045055,0.00077082316,0.017830413],"study_design_scores_gemma":[0.0000668474,0.000066123976,0.0003165547,0.0001311431,0.000005790262,0.0000027607184,0.00004968694,0.6349232,0.36398956,0.000011794315,0.00030268394,0.0001338415],"about_ca_topic_score_codex":0.000013304701,"about_ca_topic_score_gemma":0.00010520001,"teacher_disagreement_score":0.28378484,"about_ca_system_score_codex":0.00015289042,"about_ca_system_score_gemma":0.000019414509,"threshold_uncertainty_score":0.6056368},"labels":[],"label_agreement":null},{"id":"W4401927443","doi":"10.18280/jesa.570415","title":"Optimization-Based Approaches for Boosting Microgrid Resilience to Fault Events","year":2024,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Boosting (machine learning); Microgrid; Resilience (materials science); Computer science; Reliability engineering; Machine learning; Artificial intelligence; Engineering; Materials science","score_opus":0.02577656006136506,"score_gpt":0.2566297006334622,"score_spread":0.23085314057209713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401927443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02847505,0.06829166,0.8870463,0.00384733,0.009453115,0.0010134199,0.00017428296,0.0006844268,0.0010144348],"genre_scores_gemma":[0.5039438,0.0018475349,0.48355764,0.0003272037,0.004087866,0.00014342254,0.00003445247,0.0003922805,0.005665795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99654603,0.00025752722,0.0010298258,0.00055848213,0.0005787831,0.0010293747],"domain_scores_gemma":[0.99800384,0.00073403085,0.0001651656,0.00033115176,0.00022532069,0.00054046133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011115181,0.0005171726,0.00050574733,0.00048438433,0.00070798374,0.0010008746,0.00064699526,0.0002491001,0.00017453455],"category_scores_gemma":[0.0007353874,0.0005040292,0.0003761244,0.0010452287,0.00016799873,0.0007263958,0.00009431954,0.00069618085,0.00026192813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019187277,0.00006972201,0.00018957225,0.0027104397,0.00012905442,0.00014993112,0.0014996458,0.80613166,0.0003726959,0.00058668107,0.009568092,0.17857334],"study_design_scores_gemma":[0.0003542884,0.00026993125,0.0032904805,0.0059526395,0.00015058479,0.00089902105,0.0002527288,0.96122396,0.00083276106,0.0006509392,0.0255509,0.0005717855],"about_ca_topic_score_codex":0.00004070718,"about_ca_topic_score_gemma":0.000023098331,"teacher_disagreement_score":0.47546875,"about_ca_system_score_codex":0.00068142236,"about_ca_system_score_gemma":0.00040475352,"threshold_uncertainty_score":0.99974114},"labels":[],"label_agreement":null},{"id":"W4401954828","doi":"10.18280/mmep.110829","title":"Enhanced Support Vector Machine-Based Intelligent Classification of Trusted Nodes in WBAN for Resilient Infrastructure","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Computer science; Computer network; Direct Anonymous Attestation; Computer security; Embedded system; Trusted Computing; Artificial intelligence","score_opus":0.017094070873451234,"score_gpt":0.22644016530562322,"score_spread":0.20934609443217198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401954828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1914682,0.0005785277,0.80721384,0.000030804204,0.00015810547,0.00026680785,0.0000124008175,0.00019299857,0.00007830634],"genre_scores_gemma":[0.98534256,0.00008086288,0.014392142,0.0000027392728,0.000030447118,0.00008606186,0.0000141899145,0.000036733185,0.000014273907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990484,0.0000063287066,0.00039172088,0.00020026388,0.00012451752,0.00022872876],"domain_scores_gemma":[0.99957347,0.00018655437,0.000016970924,0.00013592876,0.000022196737,0.00006485313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002070067,0.0001715507,0.00023952291,0.00017557829,0.00001910325,0.000038419385,0.000089718815,0.000114770664,0.000012064585],"category_scores_gemma":[0.000029491448,0.00014960328,0.000057905156,0.00019769004,0.000029344657,0.00006149179,0.000010600043,0.00019587112,0.0000026448683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073314523,0.000020581025,0.0000068557224,0.004410009,0.000015009179,7.768913e-7,0.0009837303,0.9728278,0.0131530855,0.0078008287,0.000012042999,0.0007619326],"study_design_scores_gemma":[0.00013663391,0.00003903526,0.000046486337,0.0007076048,0.000014698863,0.0000024277147,0.000025145586,0.98153526,0.0142519735,0.0028882134,0.00019423912,0.00015830543],"about_ca_topic_score_codex":0.0000024357387,"about_ca_topic_score_gemma":0.000001399621,"teacher_disagreement_score":0.7938743,"about_ca_system_score_codex":0.000044356366,"about_ca_system_score_gemma":0.00001624545,"threshold_uncertainty_score":0.61006445},"labels":[],"label_agreement":null},{"id":"W4401981384","doi":"10.1115/1.4066257","title":"Data-Informed Risk Analysis of Power Grids: Application of Method for Managing Heterogeneous Datasets","year":2024,"lang":"en","type":"article","venue":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Computer science; Power grid; Data mining; Risk analysis (engineering); Data science; Power (physics); Medicine","score_opus":0.009881522749146122,"score_gpt":0.2666903163135369,"score_spread":0.2568087935643908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401981384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07969428,0.007553162,0.90955144,0.0000076224533,0.0013087052,0.00029402744,0.0014951347,0.000092181464,0.0000034319814],"genre_scores_gemma":[0.9890931,0.0024413646,0.008114006,0.000001459115,0.00016444184,0.000022393138,0.00011481851,0.000047558842,8.590333e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975629,0.000046412926,0.0013722011,0.00029918103,0.00035648412,0.00036280707],"domain_scores_gemma":[0.9976857,0.0012885603,0.0002640846,0.0005146035,0.000088055436,0.00015904255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019444615,0.00030472112,0.00096659677,0.0009813487,0.000029122546,0.00005091482,0.0004822265,0.0001810483,0.0000025922504],"category_scores_gemma":[0.00046659049,0.00027560658,0.00025016745,0.0010028067,0.000018002385,0.00031442413,0.00008776108,0.00050305336,4.362878e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026730684,0.000020079207,0.00007176314,0.0012892043,0.0011775446,0.000011999162,0.00024528292,0.9911135,0.0023044692,0.001218342,0.00006409549,0.0024570322],"study_design_scores_gemma":[0.00034945726,0.00008921498,0.0001604295,0.0006650952,0.00088218425,0.000056330475,0.000103774626,0.99055755,0.00091706985,0.000031609707,0.0059290575,0.00025824664],"about_ca_topic_score_codex":0.00012390924,"about_ca_topic_score_gemma":0.00004850003,"teacher_disagreement_score":0.9093988,"about_ca_system_score_codex":0.0001068091,"about_ca_system_score_gemma":0.000035942987,"threshold_uncertainty_score":0.9999696},"labels":[],"label_agreement":null},{"id":"W4402123843","doi":"10.1109/ticps.2024.3452681","title":"An Intrusion Detection and Mitigation Framework for Automatic Generation Control Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Intrusion detection system; Computer science; Intrusion prevention system; Control (management); Computer security; Artificial intelligence","score_opus":0.020615349522573444,"score_gpt":0.24963843693160415,"score_spread":0.2290230874090307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402123843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3968804,0.00012817275,0.59311616,0.000025315061,0.0084657185,0.00083612377,0.00006947982,0.00046805784,0.000010600066],"genre_scores_gemma":[0.9952222,0.000015488575,0.000052701733,0.0000064955207,0.00407907,0.000551435,0.0000098610535,0.000044776254,0.000017950553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986801,0.00013704986,0.0003531321,0.00032723314,0.00026103828,0.00024144628],"domain_scores_gemma":[0.9991861,0.00039011324,0.0000383677,0.00019442373,0.000047258236,0.00014372461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023253316,0.00022526129,0.0002944287,0.00015958614,0.00027557556,0.00040814868,0.00008147108,0.00038998257,0.0000034630314],"category_scores_gemma":[0.000013531242,0.00020468674,0.00009811933,0.00030796285,0.000047116293,0.00039853153,4.2952968e-7,0.0004867781,0.000020776746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044024793,0.000096134485,0.0000019446081,0.00036282052,0.00013699172,0.0000028810198,0.0006665716,0.85438615,0.09045419,0.0023918615,0.00015547639,0.05130095],"study_design_scores_gemma":[0.0004859005,0.0003205502,0.000007502268,0.00037036187,0.00010452723,0.000014516125,0.00014617281,0.980508,0.017107569,0.00013295366,0.0005727171,0.00022921024],"about_ca_topic_score_codex":0.00010775621,"about_ca_topic_score_gemma":0.000019330131,"teacher_disagreement_score":0.5983418,"about_ca_system_score_codex":0.00017050248,"about_ca_system_score_gemma":0.000027413866,"threshold_uncertainty_score":0.8346883},"labels":[],"label_agreement":null},{"id":"W4402216022","doi":"10.1109/tsg.2024.3451970","title":"Developing a Security Metric for Assessing the Power Grid’s Posture Against Attacks From EV Charging Ecosystem","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Metric (unit); Grid; Computer science; Power (physics); Computer security; Ecosystem; Engineering; Mathematics; Operations management; Ecology; Physics; Biology","score_opus":0.015558772750943537,"score_gpt":0.26295616049026,"score_spread":0.24739738773931647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402216022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39131707,0.0022392299,0.5775048,0.00093575165,0.024771655,0.0007454294,0.00078203325,0.0010779023,0.00062608643],"genre_scores_gemma":[0.9974897,0.00030053657,0.0006782158,0.0002321362,0.0009842718,0.00016432926,0.000030988922,0.00008256034,0.000037298283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981705,0.000074849864,0.00042349217,0.000472871,0.00034977627,0.0005085185],"domain_scores_gemma":[0.9986351,0.00075552956,0.000037439037,0.00038490765,0.00007454989,0.00011246178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004060679,0.00036006956,0.0003188011,0.0003527902,0.00059671723,0.00043401387,0.0003429345,0.00022195894,0.000045887722],"category_scores_gemma":[0.000015078138,0.0002795294,0.00029606558,0.00095090026,0.000042208234,0.0004763406,0.0000026769517,0.0007797928,0.00010500469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021542632,0.00062199536,0.0005564121,0.0052306214,0.004640175,0.00043659098,0.034655593,0.795081,0.04396544,0.0018453316,0.05299537,0.05975604],"study_design_scores_gemma":[0.0011821206,0.00012230691,0.0016486003,0.0025925958,0.00041883835,0.000107076536,0.0027462132,0.526256,0.10420457,0.00041629444,0.35832176,0.00198362],"about_ca_topic_score_codex":0.000031402935,"about_ca_topic_score_gemma":0.00020778245,"teacher_disagreement_score":0.60617256,"about_ca_system_score_codex":0.000308971,"about_ca_system_score_gemma":0.00011309954,"threshold_uncertainty_score":0.99996567},"labels":[],"label_agreement":null},{"id":"W4402264345","doi":"10.23919/acc60939.2024.10644303","title":"Cyber-Attack Detection and Isolation in Event-Based Cyber-Physical Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Computer science; Isolation (microbiology); Event (particle physics); Computer security; Operating system","score_opus":0.007740285239975967,"score_gpt":0.23182229270634525,"score_spread":0.22408200746636928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402264345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96446496,0.0006362841,0.032597516,0.000035527944,0.00076359126,0.00011497329,0.0000014731097,0.00028032836,0.0011053638],"genre_scores_gemma":[0.99969953,0.00001489455,0.000022841556,0.0000063018724,0.00015043076,0.000014185359,0.0000016945232,0.000010308055,0.00007983538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995821,0.000015627898,0.00009707957,0.00011885107,0.000078501675,0.000107816355],"domain_scores_gemma":[0.9998394,0.00005652915,0.000003991961,0.000062605555,0.0000065638797,0.000030868523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006659854,0.00007197409,0.00007490057,0.00008731467,0.000021311245,0.000061835206,0.000026606755,0.00005209541,0.0000058359556],"category_scores_gemma":[0.00000569331,0.000062988576,0.000020986823,0.00019269409,0.000013700885,0.00013293623,0.000005878904,0.00011853924,0.000040743744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011442721,0.000044844895,0.0011362792,0.0006802367,0.000022251284,0.000026144293,0.0010172089,0.9274999,0.05946409,0.0015819741,0.0005596527,0.007956011],"study_design_scores_gemma":[0.00008305657,0.000020698322,0.002265101,0.00007259994,0.0000039770766,0.00000453939,0.000059596503,0.99163866,0.0041946997,0.000024316274,0.0015488738,0.000083908155],"about_ca_topic_score_codex":0.00006811507,"about_ca_topic_score_gemma":0.0001992172,"teacher_disagreement_score":0.06413877,"about_ca_system_score_codex":0.000044684544,"about_ca_system_score_gemma":0.0000073196748,"threshold_uncertainty_score":0.25685996},"labels":[],"label_agreement":null},{"id":"W4402293772","doi":"10.1002/9781119909880.ch5","title":"Technology Intelligence: Transformative Trends and Technological Synergies for the Smart Grid","year":2024,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Grid; Data science; Engineering; Computer science; Sociology; Geography","score_opus":0.009035891739269022,"score_gpt":0.23568062023200043,"score_spread":0.2266447284927314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402293772","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031041425,0.06302059,0.07114816,0.0038233376,0.0023202186,0.0006608156,0.00019615148,0.0061075594,0.8526921],"genre_scores_gemma":[0.039724972,0.033377893,0.0032818501,0.00010288073,0.0007416424,0.001036388,0.000030603944,0.0007691183,0.9209347],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934465,0.0000041684793,0.00014756067,0.00020132036,0.000077460136,0.00022485419],"domain_scores_gemma":[0.9996867,0.00007426969,0.000013759231,0.00019556664,0.0000076018955,0.000022101118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007888198,0.00022948498,0.00022576227,0.00048554587,0.00004243052,0.00003473273,0.00027941586,0.00058726646,0.00037300313],"category_scores_gemma":[0.000015647947,0.00012622548,0.00006854481,0.00042360567,0.000508717,0.000023546116,0.00004299272,0.00042118417,0.00007173837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039307374,0.000010501216,0.0000023045843,0.00048773602,0.00023831324,0.000006937743,0.0003055698,0.000115385155,0.000032443986,0.06879856,0.7176024,0.21239592],"study_design_scores_gemma":[0.000036689275,0.00004150492,0.0000019068791,0.00012470862,0.00004893867,0.000024343399,0.0008476748,0.003962334,0.0011035225,0.0029807708,0.99061704,0.0002105876],"about_ca_topic_score_codex":0.0000067402916,"about_ca_topic_score_gemma":0.000094918054,"teacher_disagreement_score":0.2730146,"about_ca_system_score_codex":0.000013442756,"about_ca_system_score_gemma":0.000005307808,"threshold_uncertainty_score":0.5147326},"labels":[],"label_agreement":null},{"id":"W4402328514","doi":"10.1016/j.jfranklin.2024.107264","title":"A randomized algorithm based approach to fault detection for uncertain systems subject to deception attack","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Deception; Subject (documents); Computer science; Algorithm; Fault (geology); Artificial intelligence; Psychology; Machine learning; Social psychology","score_opus":0.021436050835045503,"score_gpt":0.2639857763408155,"score_spread":0.24254972550576998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402328514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05772371,0.0010153883,0.9278325,0.00022341342,0.01175337,0.0011920151,0.000014364571,0.00007481362,0.00017042212],"genre_scores_gemma":[0.9835464,0.00005001665,0.014352713,0.00012335874,0.0015818893,0.0001907852,0.00000201943,0.000029415467,0.00012339906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988071,0.00008825472,0.00046957488,0.00013160841,0.00030805156,0.00019542013],"domain_scores_gemma":[0.99936646,0.00017964123,0.000060276147,0.00015859905,0.00011865811,0.00011634785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012448259,0.00015032417,0.00037405116,0.00024372243,0.00011856439,0.00014171441,0.0002891408,0.00010009966,0.0000019974868],"category_scores_gemma":[0.00024346507,0.00009462453,0.00034518875,0.00047694304,0.000040298528,0.0002069074,0.000018420335,0.00027682667,0.000015128534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001772694,0.000019179444,0.0000010076349,0.0002281729,0.00009876754,0.000003956585,0.00042863638,0.9869605,0.0018949149,0.000065733744,0.002085068,0.0064413697],"study_design_scores_gemma":[0.008772742,0.000060461727,0.000011628213,0.00041094056,0.000096850286,0.000084229614,0.00006156418,0.9181102,0.0029294442,0.000044249413,0.06927839,0.00013932232],"about_ca_topic_score_codex":0.000026035494,"about_ca_topic_score_gemma":0.000020178551,"teacher_disagreement_score":0.9258227,"about_ca_system_score_codex":0.00017781837,"about_ca_system_score_gemma":0.00007288068,"threshold_uncertainty_score":0.38586763},"labels":[],"label_agreement":null},{"id":"W4402395966","doi":"10.1016/j.simpat.2024.103016","title":"An AI-driven solution to prevent adversarial attacks on mobile Vehicle-to-Microgrid services","year":2024,"lang":"en","type":"article","venue":"Simulation Modelling Practice and Theory","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Adversarial system; Computer security; Computer science; Artificial intelligence","score_opus":0.010309212166844436,"score_gpt":0.2948360583503836,"score_spread":0.2845268461835392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402395966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.524883,0.0006674717,0.47235602,0.00021713568,0.0008048323,0.00039386234,0.000011724184,0.0003277546,0.0003382237],"genre_scores_gemma":[0.9977114,0.00014386028,0.0012108431,0.00041888567,0.00042378125,0.000021405323,0.000014412485,0.000027594486,0.000027789854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991048,0.000099012366,0.0001659543,0.000277853,0.00016878913,0.0001835694],"domain_scores_gemma":[0.99919116,0.0004359508,0.000018128048,0.0001798319,0.000050972703,0.00012397178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004176962,0.00013452118,0.00009830657,0.00013008015,0.00013281108,0.00015634089,0.000091515605,0.00009160807,0.000016326072],"category_scores_gemma":[0.000015971982,0.00013180474,0.00003219695,0.00017129001,0.0000135654645,0.0007660268,0.00002318708,0.00021852793,0.00013252984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015471634,0.000051310504,0.000002901686,0.00008856002,0.000028545961,0.0000045637885,0.0048288205,0.98205066,0.0014730333,0.0031910439,0.00001940857,0.008106452],"study_design_scores_gemma":[0.00009375036,0.00016060213,0.0000063609677,0.00012646211,0.00004184337,0.0000019862582,0.00032671707,0.9711367,0.00094312057,0.0012774079,0.025720429,0.00016460424],"about_ca_topic_score_codex":0.00001926855,"about_ca_topic_score_gemma":0.0000054125608,"teacher_disagreement_score":0.47282845,"about_ca_system_score_codex":0.000044200697,"about_ca_system_score_gemma":0.000015399719,"threshold_uncertainty_score":0.53748417},"labels":[],"label_agreement":null},{"id":"W4402401339","doi":"10.1109/jiot.2024.3457012","title":"Deep Reinforcement Learning for EH-Enabled Cognitive-IoT Under Jamming Attacks","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Jamming; Computer science; Reinforcement learning; Cognition; Cognitive radio; Computer network; Computer security; Artificial intelligence; Telecommunications; Wireless; Neuroscience","score_opus":0.01401449410744031,"score_gpt":0.25783660288894156,"score_spread":0.24382210878150123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402401339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28240627,0.0014595584,0.71038175,0.00008466841,0.0032795789,0.00012620953,3.8095197e-7,0.00013669339,0.0021248981],"genre_scores_gemma":[0.99730295,0.00015842487,0.0006225676,0.00008427883,0.0004883307,0.0000071738327,0.000002137203,0.000037430218,0.0012967256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884355,0.000022692027,0.00041577,0.00014355584,0.00025496405,0.00031947318],"domain_scores_gemma":[0.99941796,0.00024230845,0.00007482094,0.000059382644,0.000106233434,0.00009927957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045521467,0.00016351907,0.0002068678,0.00018876653,0.000084530504,0.00020043629,0.00021656764,0.00009925369,0.00015282228],"category_scores_gemma":[0.00008725838,0.00014460737,0.0001842849,0.000106376196,0.000050335446,0.00033852892,0.000029349518,0.00073864276,0.000029187238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105364226,0.000022815779,0.00011907412,0.00075723254,0.0005630585,0.00008649627,0.01427402,0.95216596,0.014544228,0.00057872094,0.0042067687,0.012576283],"study_design_scores_gemma":[0.0004487593,0.00021761868,0.00003148187,0.0014993798,0.00006789504,0.00027263147,0.001003173,0.95149916,0.038850777,0.00040429895,0.005495389,0.00020946066],"about_ca_topic_score_codex":0.000012198488,"about_ca_topic_score_gemma":0.0000031780578,"teacher_disagreement_score":0.7148967,"about_ca_system_score_codex":0.00010405537,"about_ca_system_score_gemma":0.00003019539,"threshold_uncertainty_score":0.58969176},"labels":[],"label_agreement":null},{"id":"W4402435321","doi":"10.1109/access.2024.3458874","title":"RTAP: A Real-Time Model for Attack Detection and Prediction in Smart Grid Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Smart grid; Real-time computing; Computer security; Engineering","score_opus":0.02315189970470073,"score_gpt":0.27049605875371113,"score_spread":0.24734415904901041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402435321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9517548,0.00062133133,0.04335834,0.000014811125,0.0029878796,0.00035152465,0.000046008325,0.0003850013,0.00048027758],"genre_scores_gemma":[0.9990129,0.00024258187,0.000028038383,0.0000038401295,0.00037306914,0.00012417136,0.0000050832814,0.000019799361,0.00019055807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994455,0.00000925385,0.00014940095,0.00016810613,0.000078420206,0.00014929159],"domain_scores_gemma":[0.9997987,0.000052361516,0.000008648447,0.00008816175,0.000015019761,0.000037071124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012691459,0.00008657574,0.00010097259,0.000117774194,0.000038142596,0.00015142752,0.00008235188,0.00008765465,0.0000020913824],"category_scores_gemma":[0.000007042327,0.00008297934,0.000023477238,0.00016400644,0.000015006978,0.00043515486,0.000011511129,0.00009679512,0.0000110068995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019253737,0.000009740924,0.0004251286,0.00090797397,0.000020678277,0.0000057534658,0.00052549574,0.9719985,0.020628763,0.000028280454,0.0041449904,0.0012854098],"study_design_scores_gemma":[0.00012192912,0.000016679998,0.00084141974,0.00013139957,0.000010391296,0.000010085362,0.000011675948,0.9955551,0.002368388,0.00006238617,0.0007827524,0.00008778812],"about_ca_topic_score_codex":0.00009333457,"about_ca_topic_score_gemma":0.00015605285,"teacher_disagreement_score":0.04725803,"about_ca_system_score_codex":0.000054410575,"about_ca_system_score_gemma":0.000010900565,"threshold_uncertainty_score":0.33837992},"labels":[],"label_agreement":null},{"id":"W4402473793","doi":"10.1109/ccece59415.2024.10667157","title":"Cyberattack Classification in Smart Grid Distribution Substations using a Novel Ensemble Bagging Learning Technique","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Ensemble learning; Smart grid; Grid; Artificial intelligence; Machine learning; Data mining; Engineering; Geography; Electrical engineering","score_opus":0.02544295324112675,"score_gpt":0.26437164396011753,"score_spread":0.23892869071899078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402473793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25955945,0.00021213097,0.73688966,0.000077595396,0.00043912526,0.00018114864,0.0000108873755,0.00060892367,0.0020210587],"genre_scores_gemma":[0.9962611,0.000056696135,0.003350027,0.000007172952,0.0000942871,0.00004109064,0.000096303746,0.0000192648,0.000074022755],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992794,0.0000195644,0.00020422765,0.00018074199,0.00010719592,0.00020891249],"domain_scores_gemma":[0.99975705,0.0000759237,0.000011394183,0.000093546616,0.000024284673,0.000037771828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021303883,0.00010578137,0.00008851533,0.00014041168,0.000094929084,0.00009966384,0.000062863735,0.00008785953,0.000029603563],"category_scores_gemma":[0.00003510728,0.000107816646,0.000034641496,0.0006026472,0.000024205092,0.0002904403,0.000013488125,0.00033303662,0.000027502856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032487847,0.00003720739,0.0023571118,0.00019310256,0.000015396918,0.0000122112115,0.00083674444,0.2731521,0.7049801,0.015931373,0.0005567257,0.0019246674],"study_design_scores_gemma":[0.00006971352,0.0000073721367,0.0042984383,0.00017993002,0.000007173722,0.000027393931,0.00024226538,0.96554184,0.020568628,0.00011057473,0.008777342,0.00016931775],"about_ca_topic_score_codex":0.00007689351,"about_ca_topic_score_gemma":0.0001568369,"teacher_disagreement_score":0.73670167,"about_ca_system_score_codex":0.00020451803,"about_ca_system_score_gemma":0.000034049157,"threshold_uncertainty_score":0.43966353},"labels":[],"label_agreement":null},{"id":"W4402474287","doi":"10.1109/ccece59415.2024.10667144","title":"A Fast and Effective Automated Wavelet-Deep learning-based Method to Detect Cyberattacks in Microgrids with EV Fast Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Wavelet; Deep learning; Artificial intelligence; Real-time computing; Machine learning","score_opus":0.0031941509861193175,"score_gpt":0.244422759262247,"score_spread":0.2412286082761277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402474287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41866288,0.00048209672,0.5779236,0.00011749407,0.00012961474,0.00050053647,0.000009254857,0.0016577032,0.00051681185],"genre_scores_gemma":[0.9728798,0.000011414494,0.026780667,0.00005733793,0.000037792965,0.00011614236,0.000008557761,0.00004035431,0.000067877925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990432,0.00009031595,0.00015103866,0.0002909444,0.00011922663,0.0003052513],"domain_scores_gemma":[0.99944115,0.0003244033,0.000008950888,0.00009323243,0.000028460745,0.00010382142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484163,0.00018779542,0.00018551864,0.00032361582,0.00008398823,0.00013973641,0.000066610526,0.00006987069,0.000032084128],"category_scores_gemma":[0.00002716228,0.00015285437,0.000027384825,0.0007271294,0.00003140327,0.00012340868,0.00001624902,0.0003431624,0.000033227727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003397742,0.000019668823,0.00068398257,0.00035354,0.00007877923,0.0001146223,0.0067526787,0.8476895,0.042961907,0.00006779737,0.00014675857,0.101096764],"study_design_scores_gemma":[0.00031499544,0.00015185766,0.0064965584,0.00021000265,0.000014577627,0.000024121982,0.0004261083,0.95868886,0.032540254,0.000006511576,0.0008867589,0.000239393],"about_ca_topic_score_codex":0.000086504486,"about_ca_topic_score_gemma":0.0005577196,"teacher_disagreement_score":0.554217,"about_ca_system_score_codex":0.00008555598,"about_ca_system_score_gemma":0.000027252176,"threshold_uncertainty_score":0.623322},"labels":[],"label_agreement":null},{"id":"W4402474764","doi":"10.1109/ccece59415.2024.10667244","title":"An Automated Wavelet Generation Tool for Cyberattack Detection in Substation Automation Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Automation; Embedded system; Wavelet; Computer security; Artificial intelligence; Engineering","score_opus":0.01242672793765678,"score_gpt":0.2644446209223221,"score_spread":0.25201789298466537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402474764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75461996,0.00016663509,0.24114455,0.000013314404,0.0015100217,0.00036174065,0.000006903006,0.0020965633,0.00008033554],"genre_scores_gemma":[0.9985499,0.00001909447,0.000838187,0.0000063673256,0.00026890062,0.0001347283,0.00012134746,0.000018591347,0.00004290934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993863,0.000026456604,0.00021342025,0.00015050953,0.000092841634,0.00013043432],"domain_scores_gemma":[0.99981415,0.000034617555,0.0000095170235,0.00008650909,0.00003256917,0.000022640155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019994692,0.00008626252,0.00007520991,0.0001632745,0.00004635859,0.00019418236,0.000037980775,0.00009440324,0.00000816216],"category_scores_gemma":[0.000011848888,0.00008226555,0.000020674086,0.00025593385,0.000006091897,0.0005739103,0.0000017846739,0.000061381674,0.00002801555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038927924,0.000014028424,0.000025718233,0.0002837081,0.0000101237265,0.000002528987,0.00074967695,0.7616798,0.22501305,0.0017330489,0.001195904,0.009288527],"study_design_scores_gemma":[0.0001134571,0.000033661578,0.0013491325,0.000030431986,0.0000046082832,0.0000061250203,0.000057388548,0.9622715,0.03542705,0.000019179186,0.000574649,0.000112783346],"about_ca_topic_score_codex":0.00004308694,"about_ca_topic_score_gemma":0.00037273305,"teacher_disagreement_score":0.24392994,"about_ca_system_score_codex":0.00012077738,"about_ca_system_score_gemma":0.000014704036,"threshold_uncertainty_score":0.3354692},"labels":[],"label_agreement":null},{"id":"W4402474949","doi":"10.1109/ccece59415.2024.10667141","title":"A New Random-Forest-Based Approach for Cyberattack Detection in Digital Substations","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Random forest; Environmental science; Remote sensing; Computer security; Artificial intelligence; Geography","score_opus":0.00878735124868891,"score_gpt":0.21837743402335227,"score_spread":0.20959008277466337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402474949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065457106,0.00024150354,0.9299913,0.000026848804,0.00028398147,0.00025916242,0.000007736906,0.0003186364,0.0034137021],"genre_scores_gemma":[0.9957503,0.0000050355848,0.0036627164,0.000009299321,0.00009749445,0.00006375543,0.000025275753,0.000014242782,0.00037186051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959064,0.0000025380896,0.00010767545,0.000111113004,0.00005899266,0.00012903103],"domain_scores_gemma":[0.9997785,0.00010695447,0.0000028825666,0.00006147008,0.000009251339,0.000040961128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047478075,0.00007040222,0.00006944519,0.00010761965,0.000024056479,0.00012243196,0.00004432723,0.000045443914,0.000012910434],"category_scores_gemma":[0.000021477574,0.000060832273,0.000049513597,0.00025310545,0.000009650286,0.00020434974,0.0000028835427,0.0000788321,0.000015869748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003879871,0.000020610723,0.00019948019,0.00018623001,0.000015698348,0.0000032743767,0.00039079817,0.9800338,0.0006614147,0.0014726055,0.0024334053,0.0145438565],"study_design_scores_gemma":[0.00067499967,0.00001646349,0.00022038145,0.000015233171,0.0000044227186,0.0000024966796,0.00005084887,0.9926264,0.0026614072,0.00031930747,0.003314345,0.00009366063],"about_ca_topic_score_codex":0.000020663778,"about_ca_topic_score_gemma":0.00033770245,"teacher_disagreement_score":0.9302932,"about_ca_system_score_codex":0.00003173517,"about_ca_system_score_gemma":0.000027703225,"threshold_uncertainty_score":0.24806681},"labels":[],"label_agreement":null},{"id":"W4402615401","doi":"10.3390/electronics13183683","title":"From Bottom-Up Towards a Completely Decentralized Autonomous Electric Grid Based on the Concept of a Decentralized Autonomous Substation","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"","keywords":"Grid; Distributed computing; Decentralised system; Top-down and bottom-up design; Computer science; Engineering; Systems engineering; Geology; Software engineering; Artificial intelligence; Control (management)","score_opus":0.011335684233782062,"score_gpt":0.23212947873626352,"score_spread":0.22079379450248146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402615401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9173937,0.054609716,0.02166777,0.0011039193,0.0025456238,0.000888261,0.00018855787,0.0011086703,0.00049380923],"genre_scores_gemma":[0.99704766,0.0019917716,0.00031867568,0.00019399487,0.00016983878,0.000049522343,0.00013634883,0.00005969118,0.000032519118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979393,0.00013074382,0.000441047,0.00035329218,0.00038915698,0.0007464916],"domain_scores_gemma":[0.9989182,0.00048312655,0.00006151084,0.00037671308,0.000054273347,0.000106170824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002380852,0.00030902372,0.0003558664,0.00014420852,0.0001088382,0.00011203713,0.00039797032,0.00015465695,0.00030574974],"category_scores_gemma":[0.000061715655,0.00024651448,0.00019760102,0.0007255856,0.000081367514,0.00010887829,0.000012980302,0.0006442465,0.000047514382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014632753,0.0008456655,0.00023652342,0.00069074245,0.002052144,0.00023643079,0.026113948,0.37551206,0.1854058,0.12341615,0.07919858,0.20482866],"study_design_scores_gemma":[0.0008890531,0.0002236235,0.00038303554,0.000088123175,0.00009117333,0.000007290345,0.000048341302,0.75555456,0.12973112,0.0014377747,0.111191235,0.00035465474],"about_ca_topic_score_codex":0.00011053681,"about_ca_topic_score_gemma":0.000103311606,"teacher_disagreement_score":0.3800425,"about_ca_system_score_codex":0.0005231911,"about_ca_system_score_gemma":0.00055828434,"threshold_uncertainty_score":0.9999987},"labels":[],"label_agreement":null},{"id":"W4402666373","doi":"10.1109/mrl.2024.3451429","title":"Electric Vehicle-Based Load-Altering Attacks and Their Impacts on Power Grids Operations","year":2024,"lang":"en","type":"article","venue":"IEEE reliability magazine ","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Power grid; Computer science; Electric vehicle; Power (physics); Automotive engineering; Engineering; Physics","score_opus":0.007417567147337064,"score_gpt":0.2293402125052184,"score_spread":0.22192264535788134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402666373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916854,0.0015929065,0.0024313512,0.0005515427,0.0011643335,0.0002531707,0.000026795353,0.0006032257,0.001691254],"genre_scores_gemma":[0.99931335,0.00017733444,0.00007891839,0.00011700165,0.0001686814,0.000022515225,0.0000048696766,0.000036775433,0.00008053012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988083,0.000039475643,0.00024803993,0.00036026532,0.00018753612,0.00035637835],"domain_scores_gemma":[0.99919975,0.00021296095,0.0000073667547,0.00037512078,0.000055246837,0.00014958499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030105468,0.0002403698,0.00020398677,0.00012383446,0.000099849276,0.00015129666,0.0001291587,0.00011688051,0.000059498638],"category_scores_gemma":[0.00009763709,0.00018834692,0.00008017536,0.00043827045,0.00006858561,0.00019275947,0.000017866772,0.00040983336,0.00020038316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061507555,0.00016069897,0.00068082794,0.00093554595,0.000060348673,0.00004677104,0.001409154,0.57101196,0.41359264,0.00023576913,0.008107405,0.0036973485],"study_design_scores_gemma":[0.00037277504,0.00032766216,0.007764951,0.00026405705,0.000018308046,0.000022057007,0.000017137612,0.9034208,0.06468912,0.00016838564,0.022488428,0.00044631638],"about_ca_topic_score_codex":0.00001391196,"about_ca_topic_score_gemma":0.0000358647,"teacher_disagreement_score":0.3489035,"about_ca_system_score_codex":0.00021098695,"about_ca_system_score_gemma":0.00009215773,"threshold_uncertainty_score":0.7680565},"labels":[],"label_agreement":null},{"id":"W4402713914","doi":"10.1016/j.epsr.2024.111076","title":"A deep learning deviation-based scheme to defend against false data injection attacks in power distribution systems","year":2024,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Iran National Science Foundation","keywords":"Scheme (mathematics); Artificial intelligence; Power (physics); Distribution (mathematics); Deep learning; Computer science; Pattern recognition (psychology); Data mining; Mathematics; Physics","score_opus":0.035445811536905965,"score_gpt":0.32130178315064717,"score_spread":0.2858559716137412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402713914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7171549,0.051351003,0.2195826,0.00015522276,0.004870777,0.0024803411,0.0000962227,0.0011815885,0.0031273416],"genre_scores_gemma":[0.99890226,0.00013999388,0.000013523307,0.0000060189914,0.00018451341,0.00020022207,0.0002663571,0.000055793473,0.00023132554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99619323,0.00054284546,0.0005347324,0.000671786,0.0010871637,0.0009702316],"domain_scores_gemma":[0.9982976,0.0005682189,0.000029000244,0.0006615828,0.00022475846,0.00021889039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003331631,0.00023584161,0.00029735066,0.0010756371,0.00023977205,0.000608687,0.00062203663,0.00024874628,0.000011646856],"category_scores_gemma":[0.0008519527,0.0002321007,0.000048599784,0.004452445,0.00003131649,0.0004089393,0.0001278317,0.0013590213,0.00042538214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080045174,0.00012149939,0.0058148648,0.001607827,0.00013145265,0.00025773325,0.0014995966,0.9534842,0.012832992,0.0014622835,0.020695966,0.0020115469],"study_design_scores_gemma":[0.00018357357,0.00014551345,0.0009777603,0.0005529975,0.0000037096195,0.000023825467,0.00038891195,0.9249996,0.0002525001,0.0000027256615,0.07220658,0.00026228302],"about_ca_topic_score_codex":0.00038201176,"about_ca_topic_score_gemma":0.00012412177,"teacher_disagreement_score":0.28174734,"about_ca_system_score_codex":0.0011250353,"about_ca_system_score_gemma":0.00023441756,"threshold_uncertainty_score":0.9464792},"labels":[],"label_agreement":null},{"id":"W4403093692","doi":"10.1002/rnc.7654","title":"A data‐driven safety preserving control architecture for constrained cyber‐physical systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Computer science; Architecture; Control (management); Distributed computing; Systems engineering; Control engineering; Engineering; Artificial intelligence","score_opus":0.01316525317451952,"score_gpt":0.254641568080854,"score_spread":0.24147631490633445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403093692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074029475,0.008725215,0.9024743,0.0033414625,0.006760698,0.00059054536,0.0035213358,0.0001369345,0.00042007683],"genre_scores_gemma":[0.9942972,0.00015087346,0.0016392427,0.000060259277,0.0037638135,0.0000049616224,0.00003373744,0.000020372952,0.000029516266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990395,0.00003149095,0.00034987248,0.00013954761,0.00028378688,0.0001558243],"domain_scores_gemma":[0.99896365,0.0006031751,0.00006456321,0.000114738315,0.00016079957,0.00009304932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030280373,0.00013136814,0.0002686882,0.00013015934,0.000039246217,0.00018280646,0.000465364,0.00006214299,0.0000066708308],"category_scores_gemma":[0.00011982025,0.0001003703,0.000109990724,0.00004915858,0.00005932977,0.00026651777,0.00003533775,0.0002964637,0.0000018212104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070073776,0.00007547672,0.00025614732,0.00026607615,0.0018755672,0.0002497621,0.00051855744,0.975067,0.0045754146,0.0015107393,0.0044416212,0.010462876],"study_design_scores_gemma":[0.0018908397,0.00007251388,0.00010013693,0.00027466804,0.000091988266,0.00033925127,0.000054287484,0.948988,0.00003113356,0.00008211109,0.04797,0.000105064966],"about_ca_topic_score_codex":0.000005125908,"about_ca_topic_score_gemma":0.000014136132,"teacher_disagreement_score":0.92026776,"about_ca_system_score_codex":0.000033125278,"about_ca_system_score_gemma":0.00006725009,"threshold_uncertainty_score":0.4092982},"labels":[],"label_agreement":null},{"id":"W4403127875","doi":"10.1109/pesgm51994.2024.10688933","title":"Residual-Based Detection of Attacks in Cyber-Physical Inverter-Based Microgrids","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cyber-physical system; Residual; Computer science; Computer security; Algorithm","score_opus":0.006369580515737276,"score_gpt":0.22407619006824037,"score_spread":0.2177066095525031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403127875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99076957,0.00027131505,0.007069139,0.00008761217,0.00040994058,0.00009379898,0.0000053658446,0.00029155763,0.0010017237],"genre_scores_gemma":[0.99963975,0.0000059691174,0.00015624969,0.00003861068,0.00010023396,0.000011336499,0.000003819689,0.000016585936,0.00002741841],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938715,0.000020774032,0.00015734325,0.00014804311,0.00012497487,0.00016173962],"domain_scores_gemma":[0.9997007,0.000103939565,0.000006608274,0.0001384395,0.000012886957,0.000037399845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008227872,0.0001029291,0.00012864797,0.00017914936,0.000014229755,0.000021054728,0.00008210126,0.0000742893,0.000027132315],"category_scores_gemma":[0.000010187998,0.00009141115,0.00006264772,0.00038795153,0.000050190556,0.00007131608,0.000008739043,0.0001844576,0.000040325547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000370071,0.00017538706,0.0016454827,0.0008598264,0.000031690437,0.000054777553,0.00064919493,0.1287373,0.8492673,0.0002524722,0.0014986132,0.016790936],"study_design_scores_gemma":[0.00014395395,0.00004109304,0.0017365832,0.00007488746,0.0000053470167,8.920112e-7,0.000019169895,0.506542,0.49032944,0.000043137436,0.0009761633,0.00008727739],"about_ca_topic_score_codex":0.00007954623,"about_ca_topic_score_gemma":0.00034066668,"teacher_disagreement_score":0.37780476,"about_ca_system_score_codex":0.000047282974,"about_ca_system_score_gemma":0.000031645173,"threshold_uncertainty_score":0.37276384},"labels":[],"label_agreement":null},{"id":"W4403331925","doi":"10.1109/tifs.2024.3477269","title":"Mitigating Propagation of Cyber-Attacks in Wide-Area Measurement Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"Public Safety Canada","keywords":"Computer science; Computer security","score_opus":0.011533143710938188,"score_gpt":0.20128776259451686,"score_spread":0.18975461888357867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403331925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39996448,0.00048684486,0.5949621,0.00007395861,0.0018388921,0.0004680192,0.0000765933,0.00022192861,0.0019071767],"genre_scores_gemma":[0.99966633,0.00017632636,0.00008599976,0.00001433341,0.000011959675,0.00002886108,0.0000070250785,0.0000067508795,0.0000024147907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909097,0.000015898377,0.00039562574,0.00007774758,0.00029125332,0.00012850911],"domain_scores_gemma":[0.999692,0.00004760133,0.000031307067,0.00009195459,0.00009270472,0.00004441952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029072765,0.000111098074,0.00013130403,0.00021178908,0.00006196908,0.00008129722,0.000043769443,0.0000863936,0.0000055741557],"category_scores_gemma":[0.000007424302,0.00010410502,0.00004162123,0.0002675631,0.000047340964,0.00070230896,7.571591e-7,0.0002283815,0.00000728102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044965047,0.00007843599,0.0002081258,0.00502878,0.00014567627,0.0000061004935,0.032396182,0.9088731,0.0015419902,0.010749682,0.0011462991,0.03978069],"study_design_scores_gemma":[0.00023602361,0.000054062602,0.00020024652,0.00060777285,0.000016975964,0.000010368364,0.00081464427,0.9849695,0.010649175,0.00056778913,0.0017059449,0.00016748076],"about_ca_topic_score_codex":0.000054581873,"about_ca_topic_score_gemma":0.00008361847,"teacher_disagreement_score":0.5997019,"about_ca_system_score_codex":0.000085274085,"about_ca_system_score_gemma":0.000028678016,"threshold_uncertainty_score":0.42452794},"labels":[],"label_agreement":null},{"id":"W4403480700","doi":"10.1016/j.ijepes.2024.110311","title":"Real-time detection of insider attacks on substation automation systems using short length orthogonal wavelet filters and OPAL-RT","year":2024,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavelet; Insider; Automation; Wavelet transform; Computer science; Real-time computing; Engineering; Pattern recognition (psychology); Embedded system; Artificial intelligence; Mechanical engineering","score_opus":0.00889787135116901,"score_gpt":0.24173185854253296,"score_spread":0.23283398719136394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403480700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96449846,0.001693884,0.028643351,0.00002681809,0.004492267,0.00007945625,0.000012801848,0.0000763759,0.00047659394],"genre_scores_gemma":[0.998968,0.0003239252,0.00006967043,0.000007711084,0.00055034336,0.0000036520994,0.000007730924,0.000027015842,0.00004193484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808973,0.000102971106,0.0007366451,0.00016022378,0.0007368164,0.0001735893],"domain_scores_gemma":[0.99910843,0.00024135897,0.00014770633,0.0000792788,0.00033289008,0.00009032425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037055617,0.00016626423,0.00027607437,0.0005927564,0.000038918843,0.00014358923,0.00015628271,0.00013199163,0.0000067301194],"category_scores_gemma":[0.000057314443,0.00014422344,0.00010398614,0.0002761203,0.000034725814,0.0003670559,0.000013545239,0.00023453738,0.0000028306308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021073173,0.00010095451,0.0003056224,0.00015554276,0.00092757324,0.00027646407,0.0005530041,0.5873634,0.39409903,0.007487958,0.0008280798,0.0076916525],"study_design_scores_gemma":[0.00021731225,0.00021116094,0.001057659,0.0005425377,0.000036903537,0.0009403339,0.000046817982,0.98687804,0.008445113,0.000045380897,0.0014088843,0.00016984233],"about_ca_topic_score_codex":0.00013403545,"about_ca_topic_score_gemma":0.0000067849082,"teacher_disagreement_score":0.39951465,"about_ca_system_score_codex":0.00033384253,"about_ca_system_score_gemma":0.000060388476,"threshold_uncertainty_score":0.58812606},"labels":[],"label_agreement":null},{"id":"W4403534479","doi":"10.1109/codit62066.2024.10708518","title":"Detection and Identification of Cyber-Attacks in Switched Cyber-Physical Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cyber-physical system; Identification (biology); Computer security; Computer science; Operating system","score_opus":0.006578927757527859,"score_gpt":0.22693207353517028,"score_spread":0.22035314577764242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403534479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278027,0.0006986173,0.0049961656,0.000014063753,0.00057920936,0.00009051255,0.0000015168133,0.00012906673,0.00071059394],"genre_scores_gemma":[0.99975634,0.00005490619,0.000006202301,0.000001001371,0.00007566426,0.000011130223,8.7558277e-7,0.000007298752,0.00008656602],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995903,0.000007680798,0.00014759354,0.00010263613,0.000077080236,0.00007471643],"domain_scores_gemma":[0.9998425,0.000043438242,0.000007692223,0.00007625972,0.000010058504,0.000020041876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009575882,0.000053673677,0.00008333238,0.000087133936,0.000010865167,0.0000350255,0.000034718025,0.00004391582,0.0000022804459],"category_scores_gemma":[0.000008730517,0.00004717994,0.000017610471,0.00019809294,0.000019328607,0.00011742584,0.000008428826,0.000086116386,0.000016227057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044292583,0.000029607036,0.00056262885,0.0007631542,0.000023845267,0.000006425506,0.002325621,0.02283234,0.96334094,0.0032943494,0.00010291384,0.0067137666],"study_design_scores_gemma":[0.00007213322,0.00001425909,0.011585926,0.00007818484,0.000007937884,0.000008844351,0.00028733374,0.8370913,0.1502577,0.00017029834,0.00033691683,0.000089117275],"about_ca_topic_score_codex":0.00008331806,"about_ca_topic_score_gemma":0.00008054504,"teacher_disagreement_score":0.814259,"about_ca_system_score_codex":0.000023260676,"about_ca_system_score_gemma":0.0000040529453,"threshold_uncertainty_score":0.19239421},"labels":[],"label_agreement":null},{"id":"W4403721881","doi":"10.1109/access.2024.3486061","title":"A Comprehensive Review on Differential Protection Schemes in IBR-Dominated Microgrids","year":2024,"lang":"en","type":"review","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); Université Laval","funders":"","keywords":"Differential protection; Computer science; Differential (mechanical device); Electrical engineering; Aerospace engineering; Engineering; Voltage","score_opus":0.06869686625369935,"score_gpt":0.35713568288216185,"score_spread":0.2884388166284625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403721881","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022172905,0.99432206,0.00008731102,0.000016610982,0.003183362,0.0017628007,0.000032675118,0.00027183577,0.00010161261],"genre_scores_gemma":[0.00016078597,0.99865085,0.0000067484043,0.000035415545,0.0004153765,0.0005675829,0.00004434405,0.000078300625,0.000040618244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998349,0.00010552996,0.0005828654,0.0004400093,0.0002085751,0.00031403455],"domain_scores_gemma":[0.9994204,0.000056520985,0.0000819181,0.00034479538,0.000034928526,0.00006142852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007485888,0.00050777354,0.0013747452,0.00038302017,0.00003775489,0.0001407151,0.0005665815,0.00032892748,0.00004744925],"category_scores_gemma":[0.000017616436,0.00038219668,0.00035165387,0.00095403177,0.000046015757,0.00014485489,0.000083459796,0.0011053431,0.0003083304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033953347,0.000035950226,1.7460013e-7,0.3291732,0.00011097805,0.00006473863,0.000018799907,0.00003112473,0.000016536102,0.0000067519713,0.0044098827,0.66612846],"study_design_scores_gemma":[0.00008574135,0.00001916735,0.0000019441193,0.15580586,0.00030841693,0.00003023387,0.0000010749951,0.0002522531,0.000086021784,0.0000093497165,0.84304225,0.00035770977],"about_ca_topic_score_codex":0.000022449827,"about_ca_topic_score_gemma":0.000011127634,"teacher_disagreement_score":0.83863235,"about_ca_system_score_codex":0.00015381872,"about_ca_system_score_gemma":0.000051178304,"threshold_uncertainty_score":0.99986297},"labels":[],"label_agreement":null},{"id":"W4403759044","doi":"10.1109/access.2024.3486667","title":"Performance Analysis of Smart Grid Communication Networks Using Co-Simulation","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"New Brunswick Innovation Foundation; Science and Technology Department of Ningxia","keywords":"Computer science; Smart grid; Grid; Distributed computing; Computer network; Electrical engineering; Engineering","score_opus":0.03313157224865517,"score_gpt":0.3222468012493748,"score_spread":0.2891152290007197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403759044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587889,0.0010076487,0.038873415,0.000004870488,0.0006420788,0.00005671905,0.000005936975,0.000119108256,0.00050138077],"genre_scores_gemma":[0.9993583,0.0004258159,0.00006441294,0.000008851599,0.000102567894,0.0000029110822,0.000021359288,0.0000099375775,0.0000058398755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995037,0.000018816487,0.00017910369,0.00008813467,0.00010641863,0.00010386713],"domain_scores_gemma":[0.99959207,0.00009861212,0.00002219524,0.00023493239,0.000030043411,0.00002215969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133026,0.000069092945,0.00012908342,0.00021641159,0.000056863766,0.00007030084,0.00023522504,0.00005706982,0.000028374578],"category_scores_gemma":[0.000003838229,0.00006701428,0.000059658436,0.0010030676,0.00003404573,0.00045951398,0.000019441264,0.000119307624,0.0000035426392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029517735,0.0000045452516,0.012486845,0.00006821413,0.0001386134,5.0844403e-7,0.00016864298,0.98544246,0.00027838658,0.0000104830215,0.00010510803,0.0012932181],"study_design_scores_gemma":[0.000028217311,0.0000043527907,0.019266061,0.00006319183,0.0001711522,4.7454319e-7,0.000007084493,0.97788733,0.002063022,0.0000045634138,0.00042916587,0.00007536573],"about_ca_topic_score_codex":0.000037413047,"about_ca_topic_score_gemma":0.000038473383,"teacher_disagreement_score":0.040569462,"about_ca_system_score_codex":0.000032716853,"about_ca_system_score_gemma":0.000007972398,"threshold_uncertainty_score":0.27327633},"labels":[],"label_agreement":null},{"id":"W4403818824","doi":"10.48550/arxiv.2410.00208","title":"A Data-Driven Approach To Preserve Safety and Reference Tracking for Constrained Cyber-Physical Systems Under Network Attacks","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Tracking (education); Computer science; Computer security; Real-time computing; Psychology; Operating system","score_opus":0.1215123976914058,"score_gpt":0.22421452210831422,"score_spread":0.10270212441690842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403818824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5047618,0.0010256866,0.47357386,0.00006452478,0.0020476729,0.0024537705,0.0021804657,0.0008990616,0.0129931085],"genre_scores_gemma":[0.99809104,0.00017958024,0.000506162,0.0000142075605,0.0005114286,0.0000064157916,0.00030601857,0.000048123315,0.00033703513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808913,0.00006537496,0.00022565296,0.0010753587,0.00009031103,0.00045415523],"domain_scores_gemma":[0.9984865,0.00023790984,0.00005760255,0.0009193863,0.00007359859,0.00022497149],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022818739,0.00036568695,0.000502754,0.00011205111,0.00013773261,0.00015396922,0.0009079379,0.00032996977,0.0000025282086],"category_scores_gemma":[0.000024505855,0.0003907208,0.00009914635,0.00032318014,0.00016569211,0.00015618623,0.0015627705,0.0007937519,0.000015877473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005072126,0.000029009914,0.00006155483,0.0009858379,0.00020823778,0.000023518756,0.0002905365,0.93181664,0.000013583728,0.06543236,0.00103105,0.00005698225],"study_design_scores_gemma":[0.00026398615,0.00002942877,0.00024682973,0.0004114882,0.00020408958,0.000007674332,0.00039110848,0.9917836,0.000003823526,0.0036322682,0.0025654268,0.00046024346],"about_ca_topic_score_codex":0.00007280807,"about_ca_topic_score_gemma":0.00009420692,"teacher_disagreement_score":0.4933292,"about_ca_system_score_codex":0.00013382678,"about_ca_system_score_gemma":0.00008602089,"threshold_uncertainty_score":0.99985445},"labels":[],"label_agreement":null},{"id":"W4403863360","doi":"10.1109/tii.2024.3431022","title":"Event-Based Secure State Estimation for 2-D CPSs Under Deception Attacks: A Game Theoretic Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Heilongjiang Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Deception; Computer science; State (computer science); Event (particle physics); Game theory; Estimation; Computer security; Algorithm; Mathematics; Mathematical economics; Engineering; Psychology; Social psychology; Physics","score_opus":0.027097563708746403,"score_gpt":0.25957112944637123,"score_spread":0.23247356573762482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403863360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03187317,0.000030509598,0.96415067,0.00007271701,0.00225887,0.00069121673,0.00018386164,0.0005081451,0.00023083403],"genre_scores_gemma":[0.99655783,0.00003489295,0.0028859875,0.00006362469,0.00011800084,0.00018192522,0.000057164078,0.00003504994,0.00006549864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884677,0.000025710173,0.00049227383,0.000110054054,0.00024873173,0.00027645292],"domain_scores_gemma":[0.99943227,0.0002056025,0.000040601266,0.00018805463,0.000042275773,0.00009117894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002529083,0.00021303272,0.0001731877,0.00025487074,0.00012705842,0.00018585731,0.00012867166,0.0002654675,0.000043975946],"category_scores_gemma":[0.000008579081,0.00019439695,0.00014434774,0.00040949762,0.00007259573,0.00046652262,6.5475393e-7,0.0005233234,0.00006735435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004509567,0.00004205058,2.3280091e-7,0.00033138428,0.00005136135,3.2945027e-7,0.0015625661,0.9834017,0.000042833115,0.00043296567,0.00095646194,0.01313303],"study_design_scores_gemma":[0.0007324644,0.00012220914,0.000001063538,0.00018392169,0.00007086366,0.0000063966627,0.0004326756,0.9894708,0.006803842,0.00062440074,0.0013234562,0.0002279233],"about_ca_topic_score_codex":0.0000033319382,"about_ca_topic_score_gemma":0.0000048543297,"teacher_disagreement_score":0.96468467,"about_ca_system_score_codex":0.00017409452,"about_ca_system_score_gemma":0.00010812516,"threshold_uncertainty_score":0.7927278},"labels":[],"label_agreement":null},{"id":"W4403863519","doi":"10.1109/tcns.2024.3487648","title":"Stealthy Attacks and Robust Detectors for Cyber-Physical Systems With Bounded Disturbances: A Zonotope Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bounded function; Cyber-physical system; Robustness (evolution); Computer science; Detector; Robust control; Computer security; Control theory (sociology); Control system; Engineering; Control (management); Mathematics; Artificial intelligence; Telecommunications; Electrical engineering","score_opus":0.010650346540202292,"score_gpt":0.20472830804933517,"score_spread":0.19407796150913287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403863519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041168608,0.0074786614,0.94605017,0.000015753258,0.0030880987,0.0015510087,0.00011139366,0.00031359633,0.00022269282],"genre_scores_gemma":[0.9981425,0.00009350753,0.00015047952,0.0000064409005,0.00075083337,0.00069852726,0.0000029846044,0.00005645458,0.000098319215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859303,0.00007309576,0.00036685914,0.0003434404,0.00023800651,0.0003855689],"domain_scores_gemma":[0.99904996,0.00047722628,0.000052285966,0.00024152569,0.00005400659,0.0001249941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023008711,0.0002713552,0.0005620628,0.00009426053,0.00016753643,0.00016150471,0.0001316552,0.00013071441,7.1142443e-7],"category_scores_gemma":[0.0000014701773,0.00020704798,0.00012759947,0.00030806632,0.000109445486,0.00015647472,5.681506e-7,0.00028176757,0.0000024363321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016704631,0.000048866867,0.000019134546,0.0017268629,0.000343918,0.000003772633,0.0003656283,0.9960061,0.000096023825,0.00040733037,0.00025546414,0.0005599075],"study_design_scores_gemma":[0.0009298569,0.00035846164,0.000025731124,0.0006757358,0.00016966002,0.000039008533,0.00023949913,0.9949465,0.000050977636,0.000008054565,0.0023083412,0.00024818178],"about_ca_topic_score_codex":0.00007199276,"about_ca_topic_score_gemma":0.000068140034,"teacher_disagreement_score":0.95697385,"about_ca_system_score_codex":0.00008319297,"about_ca_system_score_gemma":0.00004168724,"threshold_uncertainty_score":0.8443172},"labels":[],"label_agreement":null},{"id":"W4403918349","doi":"10.1109/sm63044.2024.10733382","title":"Analysis of Data-Driven Detection and Localization of Cyberattacks on Faulty Electric Vehicle Platoons","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric vehicle; Computer science; Vehicle safety; Computer security; Automotive engineering; Engineering; Physics","score_opus":0.014234845507259978,"score_gpt":0.25400149876580175,"score_spread":0.23976665325854177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403918349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9194308,0.00044485249,0.07917924,0.0000062925246,0.00007749205,0.000048544855,0.000024228926,0.000088096815,0.00070046727],"genre_scores_gemma":[0.999746,0.00014478718,0.00004512483,0.0000064767123,0.00001460126,0.0000010286459,0.000021629086,0.0000050224803,0.000015311603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959797,0.000008825864,0.00012493874,0.00011692981,0.000089585075,0.00006177164],"domain_scores_gemma":[0.9997518,0.000050446266,0.000010123969,0.00015278696,0.000015740516,0.000019076504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005787454,0.000049077673,0.00010716848,0.00025611912,0.000017635528,0.000011728404,0.00006133242,0.00004303679,0.000023935669],"category_scores_gemma":[0.000009955066,0.000041936975,0.00002392398,0.0010435893,0.000015383192,0.00012286339,0.000015921396,0.000058939942,0.0000023221105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000108576005,0.000029260704,0.0031564962,0.0001866469,0.00058914465,0.0000022388883,0.0003952194,0.90258217,0.071237355,0.0005264092,0.0003640596,0.020920131],"study_design_scores_gemma":[0.00003552168,0.000027360902,0.0044267094,0.000013403017,0.00014955553,5.498529e-7,0.000018139033,0.9450208,0.04979422,0.000010428782,0.00046053246,0.000042785454],"about_ca_topic_score_codex":0.000039942595,"about_ca_topic_score_gemma":0.00024296297,"teacher_disagreement_score":0.08031524,"about_ca_system_score_codex":0.0000118161215,"about_ca_system_score_gemma":0.0000055410314,"threshold_uncertainty_score":0.17101403},"labels":[],"label_agreement":null},{"id":"W4403919831","doi":"10.1109/sm63044.2024.10733362","title":"Emergency Management Plan for Electric Vehicles During Floods Using Daily Routing Patterns","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Plan (archaeology); Emergency management; Routing (electronic design automation); Computer science; Computer network; Geography","score_opus":0.013730184544341367,"score_gpt":0.23481197701250425,"score_spread":0.2210817924681629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403919831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514847,0.0009967075,0.04419655,0.000016570597,0.0010636164,0.00019596163,0.0000064627015,0.0005683806,0.0014710957],"genre_scores_gemma":[0.99822205,0.0003421984,0.00075772475,0.0000067086853,0.0003188759,0.000019825104,0.0000042915,0.000033788132,0.00029454747],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914956,0.000006494014,0.00019425401,0.0001994435,0.00011094765,0.0003392792],"domain_scores_gemma":[0.9998012,0.00001957108,0.000008080144,0.00011690811,0.000008274319,0.000045937966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089813286,0.00012944367,0.00009405061,0.00013828916,0.00011391377,0.00005769033,0.00012252305,0.000046088702,0.00006505965],"category_scores_gemma":[0.000003328604,0.00012103895,0.000070666276,0.00024435695,0.000003930856,0.00013322568,0.00003462377,0.00010211554,0.000018007435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059160513,0.00016013441,0.054523062,0.019612256,0.0015560506,0.0004995994,0.007203888,0.3412094,0.5086998,0.015866263,0.006614048,0.043996315],"study_design_scores_gemma":[0.00018321624,0.000018559313,0.0082661845,0.00019410244,0.00004540473,0.00001881173,0.0003559857,0.95490354,0.034432333,0.00019008326,0.001054199,0.00033759975],"about_ca_topic_score_codex":0.000013320487,"about_ca_topic_score_gemma":0.0000185173,"teacher_disagreement_score":0.6136941,"about_ca_system_score_codex":0.00005495676,"about_ca_system_score_gemma":0.000004565176,"threshold_uncertainty_score":0.49358252},"labels":[],"label_agreement":null},{"id":"W4403937593","doi":"10.1109/cns62487.2024.10735608","title":"Device-Specific Anomaly Detection Models for IoT Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Anomaly detection; Internet of Things; Computer science; Anomaly (physics); Computer security; Data mining","score_opus":0.021606988620072976,"score_gpt":0.2143199833390924,"score_spread":0.19271299471901943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403937593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17765656,0.012563203,0.79382133,0.00003602717,0.004710575,0.0003612051,0.000009784226,0.0012967747,0.009544537],"genre_scores_gemma":[0.99852157,0.00008457191,0.0003680454,0.0000066933344,0.00037418804,0.000055345117,0.0000013796111,0.000019451873,0.00056875625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954885,0.000004425749,0.00010943405,0.00012506757,0.00006834937,0.0001438438],"domain_scores_gemma":[0.99980545,0.000048814447,0.0000032686503,0.000090958805,0.000016261849,0.000035223748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071916955,0.00007541936,0.0000723684,0.00006603213,0.000042837284,0.00009099565,0.00006047548,0.00006223859,0.000013381767],"category_scores_gemma":[0.0000016989143,0.000064128966,0.000045482717,0.00013274157,0.000009039755,0.00007324315,0.0000059844,0.000067863075,0.000080225924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053818817,0.0000062339413,0.000004013804,0.0006307341,0.000031531898,0.000005261047,0.00029679533,0.94996035,0.014467774,0.023395516,0.0043213903,0.0068750153],"study_design_scores_gemma":[0.00004393384,0.000013195939,0.0000114127115,0.000036639085,0.000004625911,0.000010812839,0.000076899254,0.93219256,0.0068367086,0.00037966293,0.060301747,0.00009177642],"about_ca_topic_score_codex":0.000015070261,"about_ca_topic_score_gemma":0.000040473307,"teacher_disagreement_score":0.82086504,"about_ca_system_score_codex":0.000041166655,"about_ca_system_score_gemma":0.0000071500076,"threshold_uncertainty_score":0.2615103},"labels":[],"label_agreement":null},{"id":"W4404132091","doi":"10.1109/tii.2024.3475420","title":"Stochastic Sequential Restoration for Resilient Cyber-Physical Power Distribution Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Cyber-physical system; Stochastic process; Computer science; Mathematics; Statistics","score_opus":0.028785657662932337,"score_gpt":0.2566093318977929,"score_spread":0.22782367423486055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404132091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09391258,0.00003516941,0.89442503,0.00003886513,0.009735225,0.0006464054,0.00061217253,0.0004325699,0.00016200641],"genre_scores_gemma":[0.9990589,0.000008354366,0.00004749073,0.000007398269,0.0005457008,0.00013934064,0.00007677445,0.000021903345,0.00009410931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988857,0.000021362346,0.000445471,0.00010334535,0.0002845202,0.00025962034],"domain_scores_gemma":[0.9994503,0.00018373047,0.000033873166,0.00017889624,0.000056673103,0.00009652307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017827285,0.00018194981,0.00017766455,0.00013287186,0.00018330399,0.00022705876,0.00010816878,0.00023546952,0.000010146625],"category_scores_gemma":[0.000014113945,0.00016986673,0.0001272508,0.0003226812,0.000054323944,0.00048387997,8.8945245e-7,0.00047821074,0.00008766926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050073275,0.000037959315,8.174614e-8,0.00011509315,0.00005671725,0.0000010514856,0.0012494214,0.98848265,0.00021075201,0.0011707132,0.006784433,0.0018410356],"study_design_scores_gemma":[0.00046410307,0.00022135585,8.8151415e-7,0.00022062672,0.00007881162,0.00001296534,0.00049789104,0.9816836,0.004838961,0.000053349253,0.011692527,0.00023492918],"about_ca_topic_score_codex":0.000010941798,"about_ca_topic_score_gemma":0.0000042807997,"teacher_disagreement_score":0.90514636,"about_ca_system_score_codex":0.00028330076,"about_ca_system_score_gemma":0.00008429125,"threshold_uncertainty_score":0.69269645},"labels":[],"label_agreement":null},{"id":"W4404316903","doi":"10.1109/mcs.2024.3471108","title":"Minutes of the Control Systems Society Board of Governors Meeting July 9, 2024 Toronto, Ontario, Canada [CSS Business]","year":2024,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Management; Control (management); Political science; Library science; Business; Computer science; Economics","score_opus":0.004160840849621294,"score_gpt":0.1676300550964122,"score_spread":0.16346921424679092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404316903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64094573,0.1996332,0.0067017535,0.00041793904,0.12255492,0.0047227223,0.002168734,0.0006390432,0.02221597],"genre_scores_gemma":[0.9968996,0.00006926851,0.0000046578953,0.000026032403,0.0007127582,0.00006924343,0.000002010715,0.00004206042,0.00217435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770045,0.00009890216,0.00080213806,0.00028029256,0.00069302385,0.00042520926],"domain_scores_gemma":[0.99866647,0.0004310398,0.00016894599,0.00043061626,0.0002065313,0.00009640747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040258016,0.0003005332,0.00072703057,0.000021502758,0.00008981693,0.00009529468,0.00044475982,0.0001779566,0.000016386866],"category_scores_gemma":[0.000045899575,0.00021677754,0.00026355783,0.00023789157,0.00008726004,0.00016967706,0.000020966521,0.00026757672,0.0000041810617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036525456,0.000027173859,0.0058482424,0.0051456178,0.0012248401,0.000024649667,0.0019358816,0.7154062,0.028064296,0.0003286671,0.24189746,0.0000604708],"study_design_scores_gemma":[0.002375462,0.00006421117,0.008158852,0.0052164015,0.0005704084,0.000063148684,0.0019514441,0.7666804,0.0016484015,0.0000071520276,0.21243298,0.00083112495],"about_ca_topic_score_codex":0.9575521,"about_ca_topic_score_gemma":0.9037554,"teacher_disagreement_score":0.3559539,"about_ca_system_score_codex":0.0009995298,"about_ca_system_score_gemma":0.0006577939,"threshold_uncertainty_score":0.88399315},"labels":[],"label_agreement":null},{"id":"W4404317004","doi":"10.1109/tim.2024.3497062","title":"Designing a Security Metric for EV-Based Load-Altering Attacks in Transmission Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Computer science; Metric (unit); Transmission (telecommunications); Computer security; Computer network; Engineering; Telecommunications","score_opus":0.03143789220832643,"score_gpt":0.25815371101034645,"score_spread":0.22671581880202002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404317004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06525356,0.0012127892,0.93114674,0.000059880324,0.0014041832,0.000600395,0.000013257498,0.0001961846,0.000112979185],"genre_scores_gemma":[0.99864566,0.0002213149,0.00080468535,0.000022468965,0.000029284221,0.0002454125,0.0000020439072,0.000020488927,0.00000866586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989264,0.000035829664,0.00026119009,0.00021497408,0.00037117835,0.00019044556],"domain_scores_gemma":[0.99973524,0.000055208915,0.000013280091,0.00007293864,0.00004355312,0.00007980873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045717778,0.00014620664,0.00013158181,0.00033376834,0.000107607084,0.00009980282,0.000046430818,0.00006819756,0.00001235392],"category_scores_gemma":[0.000002734855,0.00014284112,0.000059097714,0.00034606946,0.000018078019,0.00017052358,1.3626159e-7,0.00016189269,0.000003676254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120982695,0.00013405652,0.000030079864,0.002353437,0.00008867963,0.0000069118737,0.0031804515,0.7464755,0.13473432,0.000060466136,0.0001139487,0.11270117],"study_design_scores_gemma":[0.0012019081,0.00015009662,0.00006775176,0.0008804838,0.00005048736,0.0000061658125,0.00049053034,0.6649474,0.32945773,0.000031212858,0.0024775618,0.00023871566],"about_ca_topic_score_codex":0.000037075446,"about_ca_topic_score_gemma":0.000056054065,"teacher_disagreement_score":0.93339205,"about_ca_system_score_codex":0.00042548336,"about_ca_system_score_gemma":0.00006931596,"threshold_uncertainty_score":0.58248913},"labels":[],"label_agreement":null},{"id":"W4404351876","doi":"10.1016/j.jfranklin.2024.106981","title":"Special issue on monitoring and control of time-varying systems with cyber-physical interactions","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Alexander von Humboldt-Stiftung","keywords":"Cyber-physical system; Control (management); Computer security; Computer science; Artificial intelligence; Operating system","score_opus":0.006673733321202586,"score_gpt":0.22831700993022008,"score_spread":0.2216432766090175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404351876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97055554,0.0012371393,0.0019267221,0.00023896065,0.02137678,0.00016822455,0.00000956819,0.000035513604,0.0044515687],"genre_scores_gemma":[0.9851656,0.00007461116,0.000051030675,0.0000042931333,0.014592738,0.000001813652,7.893459e-8,0.0000095221585,0.0001003463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994397,0.000018802126,0.00019983762,0.00005654448,0.00019857343,0.00008653099],"domain_scores_gemma":[0.9996797,0.000102034486,0.000053003543,0.000085903834,0.00003796542,0.000041382133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010193827,0.00008483342,0.00018448925,0.00007909718,0.00006114181,0.00005424183,0.00012606915,0.000028248336,0.000006033918],"category_scores_gemma":[0.0000209801,0.000049730228,0.00007115582,0.00012319481,0.00006978714,0.0002506251,0.000012705303,0.00037658552,0.000009605865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001942556,0.0000734009,0.0006191859,0.00035913292,0.00049594283,0.0001323516,0.002364921,0.9677217,0.019821195,0.00047696932,0.0035807155,0.004160232],"study_design_scores_gemma":[0.002890549,0.0007655381,0.0050508133,0.014189513,0.0007422055,0.0020398174,0.00060557685,0.42732245,0.051184822,0.00023622105,0.49429005,0.000682439],"about_ca_topic_score_codex":0.000007698891,"about_ca_topic_score_gemma":0.0000014401712,"teacher_disagreement_score":0.54039925,"about_ca_system_score_codex":0.00003813534,"about_ca_system_score_gemma":0.000025491927,"threshold_uncertainty_score":0.20279399},"labels":[],"label_agreement":null},{"id":"W4404395557","doi":"10.1007/978-3-031-69358-8_9","title":"Investigation of Detection Mechanisms Against False Data Injection Attacks Based on Machine Learning Approaches","year":2024,"lang":"en","type":"book-chapter","venue":"Power systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","score_opus":0.047414929468799424,"score_gpt":0.20856490458667926,"score_spread":0.16114997511787982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404395557","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044993763,0.015490742,0.3255575,0.000086192056,0.033256583,0.0032571065,0.0011180718,0.0035021103,0.6132323],"genre_scores_gemma":[0.9891656,0.00007013538,0.00004796147,0.000010953143,0.0002090155,0.000021482256,0.0005599417,0.00012151932,0.009793416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984812,0.000039257484,0.0004456444,0.00045716413,0.00040990984,0.0001667983],"domain_scores_gemma":[0.9990552,0.00007091423,0.0001520725,0.00061151583,0.000038627564,0.000071681614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045108987,0.00033684596,0.00036594152,0.00037792456,0.00007265234,0.00007027945,0.000272405,0.0005773843,0.000011018532],"category_scores_gemma":[0.000026620173,0.00032342834,0.000085247724,0.0000938971,0.000046076646,0.0001305396,0.000070786555,0.0009781882,0.000089356254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004793163,0.000014491905,0.00003969584,0.0047100266,0.00032658773,0.000027236714,0.00085209357,0.9626913,0.0056413435,0.023447238,0.00065292924,0.0015491373],"study_design_scores_gemma":[0.00012646025,0.00014841318,0.0000068927557,0.0013436836,0.00006712229,0.000012701121,0.000060084036,0.9757031,0.0017782546,0.00039765847,0.019991815,0.0003638133],"about_ca_topic_score_codex":0.00003790678,"about_ca_topic_score_gemma":0.00006090784,"teacher_disagreement_score":0.9846662,"about_ca_system_score_codex":0.00012952083,"about_ca_system_score_gemma":0.000026512776,"threshold_uncertainty_score":0.9999218},"labels":[],"label_agreement":null},{"id":"W4404473429","doi":"10.37256/jeee.3220245261","title":"Design and Implementation of SCADA Architecture Based on MATLAB App Designer for a Hybrid Power System","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Electrical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"SCADA; MATLAB; Architecture; Embedded system; Computer science; Power (physics); Computer architecture; Operating system; Engineering; Electrical engineering","score_opus":0.0031787683628146865,"score_gpt":0.20326911763518105,"score_spread":0.20009034927236635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404473429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12023803,0.010181973,0.8691347,0.00005434364,0.00014922887,0.00018027634,0.00000260603,0.00005072212,0.000008084689],"genre_scores_gemma":[0.9945848,0.00027888065,0.0050145653,0.00001022457,0.000075584554,0.000007616105,7.72704e-7,0.000025848365,0.000001708181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991925,0.000015600148,0.0002775703,0.00009981177,0.00015277362,0.00026175336],"domain_scores_gemma":[0.99948764,0.00031341254,0.000035996603,0.000049670383,0.000036897272,0.000076392666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038591455,0.00013123386,0.00021205322,0.0002533121,0.000028104347,0.000045738474,0.00006290974,0.000048996775,0.0000017454465],"category_scores_gemma":[0.000021051335,0.00010569551,0.000062851235,0.00019431215,0.000008234235,0.00006404972,0.0000045635525,0.00028459693,1.1915365e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103600025,0.000016678674,0.00000882277,0.0008310901,0.00013724882,0.000025396972,0.00014168293,0.91917956,0.057982612,0.004204898,0.0004367898,0.01693165],"study_design_scores_gemma":[0.00036215043,0.0008008966,0.000045162036,0.00017236911,0.00004565248,0.00017903493,0.0000108237455,0.9578527,0.03892954,0.00010753718,0.0013722514,0.00012183156],"about_ca_topic_score_codex":7.777075e-7,"about_ca_topic_score_gemma":2.509821e-7,"teacher_disagreement_score":0.8743468,"about_ca_system_score_codex":0.00010153027,"about_ca_system_score_gemma":0.000069296024,"threshold_uncertainty_score":0.4310138},"labels":[],"label_agreement":null},{"id":"W4404564801","doi":"10.1109/eeeic/icpseurope61470.2024.10751100","title":"Assessing the Vulnerability of Power Systems to False Data Injection Attacks: A Bayesian Attack Graph-Based Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Public Safety Canada","keywords":"Computer science; Vulnerability (computing); Bayesian probability; Vulnerability assessment; Computer security; Graph; Data mining; Theoretical computer science; Artificial intelligence","score_opus":0.04685307385342855,"score_gpt":0.32154289247667767,"score_spread":0.2746898186232491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404564801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25697234,0.0010654728,0.73334837,0.0001633898,0.0017125682,0.000494365,0.000041636642,0.00050882844,0.005693016],"genre_scores_gemma":[0.99885553,0.0000046085784,0.00091674447,0.000034069366,0.000080141785,0.000024660343,0.000025449182,0.000022051454,0.00003675904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987778,0.000102408,0.0002951945,0.00034904157,0.00026214158,0.00021342208],"domain_scores_gemma":[0.9987812,0.00019600271,0.000017120881,0.0008959779,0.000038413356,0.00007130611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008436213,0.00014890426,0.00017881289,0.00012369166,0.00009309381,0.00027393634,0.00045460367,0.00008719243,0.000022998529],"category_scores_gemma":[0.00006598688,0.00009691659,0.000057896643,0.00072863296,0.00007128717,0.00042215636,0.00008320834,0.00025124618,0.000013961108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072531807,0.00008302248,0.0017569816,0.0012514183,0.00007957737,0.0000044027997,0.0008473805,0.9789428,0.0019093528,0.0009480634,0.013309823,0.0008599141],"study_design_scores_gemma":[0.000067998386,0.000032381504,0.0018403752,0.0001447784,0.000021746391,0.000012299931,0.0010420767,0.99102813,0.00057829334,0.000020118263,0.005044026,0.00016775545],"about_ca_topic_score_codex":0.00012250361,"about_ca_topic_score_gemma":0.00003942514,"teacher_disagreement_score":0.74188316,"about_ca_system_score_codex":0.00004504418,"about_ca_system_score_gemma":0.00004482004,"threshold_uncertainty_score":0.39521438},"labels":[],"label_agreement":null},{"id":"W4404565222","doi":"10.1109/eeeic/icpseurope61470.2024.10751534","title":"PEACE: Physics-Enabled Autoencoder Detection and Localization of Load-Altering Attacks in Smart Grids","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Autoencoder; Computer science; Smart grid; Computer security; Artificial intelligence; Electrical engineering; Engineering; Deep learning","score_opus":0.006518938285632685,"score_gpt":0.21539079911277856,"score_spread":0.20887186082714587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404565222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5108749,0.00127215,0.48408028,0.000014138573,0.00069928495,0.00011196417,0.0000013438888,0.00028835822,0.0026575108],"genre_scores_gemma":[0.9994124,0.0002480816,0.00015073532,0.000007835661,0.00007672135,0.0000061612573,0.0000012122789,0.000012948715,0.00008389546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995011,0.000010441667,0.00014179842,0.00012462288,0.000102381346,0.00011964689],"domain_scores_gemma":[0.9998517,0.00002492488,0.000006713213,0.0000737333,0.000017506476,0.000025408495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010240045,0.000079430116,0.00009483944,0.000064518856,0.000021429181,0.00003151848,0.000035392386,0.000053481333,0.000022134313],"category_scores_gemma":[0.000008838349,0.00007369934,0.000019656603,0.0002782306,0.000026982043,0.00020100303,0.000018982242,0.000105582585,0.000007487493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010559456,0.000023642946,0.0040143514,0.0012839319,0.000027770882,0.00001281006,0.0027543616,0.93175375,0.04295292,0.0005087144,0.000369006,0.01628817],"study_design_scores_gemma":[0.00010046747,0.000016782718,0.0018806017,0.000109670276,0.0000051490083,0.0000050895064,0.00007869688,0.9616954,0.034214433,0.00016893787,0.0016351274,0.00008965701],"about_ca_topic_score_codex":0.0000763211,"about_ca_topic_score_gemma":0.00022283955,"teacher_disagreement_score":0.48853746,"about_ca_system_score_codex":0.000055667864,"about_ca_system_score_gemma":0.000013971206,"threshold_uncertainty_score":0.3005372},"labels":[],"label_agreement":null},{"id":"W4404931954","doi":"10.1007/978-3-031-78395-1_6","title":"Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Hopfield network; Language change; Resistance (ecology); Artificial intelligence; Artificial neural network; Computer security","score_opus":0.015113780493734658,"score_gpt":0.22558132666835767,"score_spread":0.21046754617462302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404931954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021041553,0.007516941,0.988557,0.000041995663,0.0030954347,0.00014895815,0.00003990942,0.00010944118,0.00027995228],"genre_scores_gemma":[0.98288584,0.00064782525,0.015262695,0.000057428813,0.00088744744,0.0000026948628,0.00010429238,0.000038597882,0.000113172595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846613,0.000005815153,0.0002943827,0.0006509153,0.0003003619,0.00028236673],"domain_scores_gemma":[0.9990197,0.00017199489,0.00007026967,0.0006221174,0.00005471499,0.000061230574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038943495,0.00024428472,0.00026304886,0.00014302027,0.000096613556,0.00014202693,0.0006652017,0.00027391769,0.0000026391835],"category_scores_gemma":[0.000037007787,0.0002334577,0.00003237825,0.00015708616,0.00032387656,0.00025944444,0.00048894173,0.0006717014,0.000002289083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010773894,0.000005344506,0.000020202004,0.00049381936,0.000014473692,0.00003104699,0.00049181754,0.61973256,0.0007990333,0.0007870046,0.000043024476,0.3775709],"study_design_scores_gemma":[0.000057136465,0.000018507732,0.000015779835,0.00071011693,0.000015373158,0.000008095809,1.8200878e-7,0.98464286,0.00030319873,0.013533743,0.0004529137,0.00024207242],"about_ca_topic_score_codex":0.000009969782,"about_ca_topic_score_gemma":0.00030528207,"teacher_disagreement_score":0.98267543,"about_ca_system_score_codex":0.00008481038,"about_ca_system_score_gemma":0.000050040966,"threshold_uncertainty_score":0.9520129},"labels":[],"label_agreement":null},{"id":"W4405135320","doi":"10.1016/j.ijcip.2024.100728","title":"CABBA: Compatible Authenticated Bandwidth-efficient Broadcast protocol for ADS-B","year":2024,"lang":"en","type":"article","venue":"International Journal of Critical Infrastructure Protection","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Bombardier (Canada); Polytechnique Montréal","funders":"","keywords":"Protocol (science); Computer network; Computer science; Bandwidth (computing); Telecommunications","score_opus":0.016959484427819974,"score_gpt":0.32866616422237294,"score_spread":0.31170667979455297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405135320","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015250429,0.00012349976,0.95679206,0.0017671785,0.00792833,0.01729515,0.000044450793,0.00022003052,0.0005788948],"genre_scores_gemma":[0.9907312,0.0000016660234,0.0022505901,0.000032685894,0.0012665327,0.005674839,0.0000023984626,0.00002271248,0.000017381895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883324,0.000024794934,0.00043270018,0.00012131952,0.00041490022,0.0001730751],"domain_scores_gemma":[0.99919397,0.000108514425,0.000041208354,0.00006178437,0.000503571,0.00009098362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954659,0.00013238165,0.00014579008,0.0002519825,0.00005769708,0.00019856878,0.00022560352,0.0001066357,0.00017535342],"category_scores_gemma":[0.00022802033,0.00010523506,0.00013398907,0.00014766125,0.00009985774,0.00022112949,0.000016031623,0.0004241711,0.00000947985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015584222,0.000532364,0.00011832094,0.0037444052,0.0009434857,0.0003237196,0.0036853875,0.55062604,0.19673258,0.049717136,0.018796304,0.17322183],"study_design_scores_gemma":[0.001184454,0.00036995337,0.0008084659,0.0008417434,0.000051960833,0.0010790026,0.00010309996,0.807521,0.06685877,0.020900866,0.099987835,0.0002928949],"about_ca_topic_score_codex":0.0000025857125,"about_ca_topic_score_gemma":7.6674115e-7,"teacher_disagreement_score":0.97548074,"about_ca_system_score_codex":0.00016196248,"about_ca_system_score_gemma":0.00006110695,"threshold_uncertainty_score":0.42913613},"labels":[],"label_agreement":null},{"id":"W4405178948","doi":"10.1109/ojpel.2024.3512452","title":"Resilience Framework for Power Electronic Systems Against Cyber-Physical Attacks: A Review","year":2024,"lang":"en","type":"review","venue":"IEEE Open Journal of Power Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; McMaster University","funders":"","keywords":"Resilience (materials science); Cyber-physical system; Computer security; Computer science; Power (physics); Physics","score_opus":0.0225366798705425,"score_gpt":0.3492444453849784,"score_spread":0.3267077655144359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405178948","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000021159196,0.9864126,0.005618198,0.0000729289,0.0046469094,0.0024251533,0.000059796068,0.00007880035,0.00066445715],"genre_scores_gemma":[0.00029884733,0.9976036,0.00025556405,0.00012444872,0.00094367604,0.00019525703,0.000013019209,0.00026348102,0.00030210556],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948971,0.000254512,0.0019400398,0.0006184159,0.000767904,0.0015220303],"domain_scores_gemma":[0.9970494,0.00059522345,0.00084718614,0.00086341036,0.0003097407,0.00033507578],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017707404,0.0009926036,0.0038713822,0.0003251558,0.00014420792,0.00055023003,0.0032069793,0.0005894942,0.000023065018],"category_scores_gemma":[0.0002271118,0.0007375629,0.0016688228,0.0011448737,0.00009907354,0.00051469746,0.00015510764,0.004200061,0.000164223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011642639,0.00059138925,3.2772573e-7,0.2382656,0.0063411696,0.0006375446,0.00080226624,0.004317691,0.0000355701,0.04727305,0.40830475,0.29331422],"study_design_scores_gemma":[0.00015186056,0.0006192078,2.7821546e-8,0.11872216,0.0016165643,0.0006914214,0.000019368197,0.0002526477,0.000008038445,0.00062680716,0.8765833,0.00070864166],"about_ca_topic_score_codex":0.0000012372628,"about_ca_topic_score_gemma":0.0000048613774,"teacher_disagreement_score":0.4682785,"about_ca_system_score_codex":0.0012485567,"about_ca_system_score_gemma":0.0023543981,"threshold_uncertainty_score":0.99950755},"labels":[],"label_agreement":null},{"id":"W4405179665","doi":"10.1109/mele.2024.3473329","title":"Digital Substations: Cyberattack detection system for small modular reactor-based power plants.","year":2024,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Nuclear power; Computer security; Critical infrastructure; Vulnerability (computing); Cyber-physical system; Smart grid; Electric power system; Cyber-attack; Engineering; Risk analysis (engineering); Computer science; Power (physics); Business; Electrical engineering","score_opus":0.011764847278319177,"score_gpt":0.21574595058458854,"score_spread":0.20398110330626937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405179665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2630019,0.001878884,0.7278368,0.00011359357,0.0024792477,0.0007912539,0.00018827817,0.0018672909,0.0018427853],"genre_scores_gemma":[0.9987049,0.00003425765,0.0003029522,0.000011534158,0.00023466538,0.00016812459,0.00017282597,0.000046957306,0.0003237663],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990486,0.000015465886,0.00027228004,0.00027199753,0.00014250878,0.0002491762],"domain_scores_gemma":[0.9994497,0.00014768791,0.00002843525,0.00022584178,0.000082312974,0.000066068256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012272692,0.00016322677,0.00012858123,0.00021219785,0.00007696798,0.00021293215,0.00011748891,0.00011444288,0.0000057110788],"category_scores_gemma":[0.000030891315,0.00016352686,0.0000796504,0.00038171458,0.00002071948,0.0002578361,0.0000011315993,0.0001629531,0.00026861238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004246621,0.00003621799,0.000011948631,0.00042173653,0.000052874533,0.000007937426,0.00015830694,0.034313653,0.9525674,0.0005729399,0.0027593323,0.009055192],"study_design_scores_gemma":[0.00029829345,0.00008323608,0.00031647168,0.00010022108,0.000022705308,0.000023890332,0.000032883767,0.43608463,0.49844152,0.00005275884,0.06426518,0.00027822328],"about_ca_topic_score_codex":0.0000014772213,"about_ca_topic_score_gemma":0.000015125301,"teacher_disagreement_score":0.735703,"about_ca_system_score_codex":0.00017721666,"about_ca_system_score_gemma":0.00004275866,"threshold_uncertainty_score":0.6668431},"labels":[],"label_agreement":null},{"id":"W4405270678","doi":"10.1109/tifs.2024.3515809","title":"Detection of False Data Injection Attacks in Smart Grids: An Optimal Transport-Based Reliable Self-Training Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Computer science; Training (meteorology); Training set; Computer security; Artificial intelligence; Data mining","score_opus":0.01726655817685072,"score_gpt":0.22754120213783102,"score_spread":0.2102746439609803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405270678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4069948,0.00008066482,0.5912638,0.000010478925,0.00071975944,0.00021401489,0.00016716232,0.000286813,0.00026253113],"genre_scores_gemma":[0.9981063,0.00014804679,0.0015072823,0.000019944286,0.00003396868,0.00002426334,0.00014443099,0.000014491879,0.0000012768911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892884,0.000020569869,0.00044450015,0.000190457,0.00021792305,0.00019771382],"domain_scores_gemma":[0.99950963,0.00003936497,0.00003665869,0.0002874408,0.00004943255,0.00007747825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037189873,0.0001691942,0.00018393171,0.00037435017,0.00011386304,0.00006867464,0.00012585871,0.00017700672,0.000006251045],"category_scores_gemma":[0.0000026559683,0.00017320307,0.000050637773,0.00048782237,0.000060816088,0.0020660309,0.0000014693895,0.00043068925,0.000003321857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009871127,0.00009827558,0.000051732706,0.0009389811,0.000049764094,0.000002043138,0.013735085,0.95132834,0.000222817,0.00023638271,0.00004297293,0.033194914],"study_design_scores_gemma":[0.00036309368,0.00014445299,0.00021056893,0.00008517786,0.000034914494,0.000017948643,0.00094946596,0.99071014,0.00547054,0.000104033905,0.0017157606,0.00019388054],"about_ca_topic_score_codex":0.000101401325,"about_ca_topic_score_gemma":0.00026965977,"teacher_disagreement_score":0.59111154,"about_ca_system_score_codex":0.000058258378,"about_ca_system_score_gemma":0.000053377207,"threshold_uncertainty_score":0.70630157},"labels":[],"label_agreement":null},{"id":"W4405270697","doi":"10.1109/access.2024.3515642","title":"Tensor-based Cybersecurity Analysis of Smart Grids Using IT/OT Convergence","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données; Mitacs; Hydro-Québec","keywords":"Convergence (economics); Computer science; Computer security; Tensor (intrinsic definition); Mathematics; Geometry","score_opus":0.036864803550450576,"score_gpt":0.3119727830996343,"score_spread":0.2751079795491837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405270697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98022014,0.00066353753,0.015851311,0.000048978083,0.002300302,0.00009137308,0.00006058294,0.00022550774,0.0005382718],"genre_scores_gemma":[0.99956584,0.000076467375,0.00012244328,0.00006954712,0.00011604843,0.0000057765,0.0000073792175,0.000019057388,0.000017414233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890584,0.000028015202,0.00029924526,0.00025077348,0.00026563817,0.00025049647],"domain_scores_gemma":[0.99942464,0.000103824124,0.0000287347,0.00029914794,0.00006286305,0.000080810234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001743204,0.0001584457,0.0002950662,0.00042987915,0.00005359262,0.00009476376,0.00040525154,0.00010014468,0.00026801688],"category_scores_gemma":[0.000021796002,0.00014912282,0.0002023577,0.0019758758,0.0001001979,0.0003470146,0.00003087402,0.00018941831,0.000019982364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016970933,0.000049797713,0.03344328,0.00063005084,0.0009346469,0.00007896749,0.00077017857,0.9439882,0.01662904,0.00018119504,0.002926489,0.00035120876],"study_design_scores_gemma":[0.00008115351,0.000012298845,0.0062798504,0.000098478,0.00048880244,0.000002078856,0.00004846451,0.9419626,0.049315903,0.000044406588,0.0014505088,0.00021546158],"about_ca_topic_score_codex":0.00032843315,"about_ca_topic_score_gemma":0.00025614654,"teacher_disagreement_score":0.032686863,"about_ca_system_score_codex":0.00005431443,"about_ca_system_score_gemma":0.000051803538,"threshold_uncertainty_score":0.6081052},"labels":[],"label_agreement":null},{"id":"W4405316589","doi":"10.1016/j.meaene.2024.100031","title":"Integration of smart grid with Industry 5.0: Applications, challenges and solutions","year":2024,"lang":"en","type":"article","venue":"Measurement Energy","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Smart grid; Industry 4.0; Computer science; Grid; Engineering; Embedded system; Electrical engineering; Geography","score_opus":0.03776042978095749,"score_gpt":0.2057990772374754,"score_spread":0.16803864745651792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405316589","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06915659,0.59026253,0.29190034,0.002512525,0.0020023976,0.00066433765,0.000040066527,0.0015988874,0.04186236],"genre_scores_gemma":[0.99592394,0.0036801223,0.00015564995,0.000007669883,0.000118393866,0.00007558855,0.0000032993044,0.000009744491,0.000025623533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999503,0.000011781732,0.0000952354,0.000106613414,0.00018871926,0.00009461308],"domain_scores_gemma":[0.9998041,0.000010834417,0.000008275498,0.000101203186,0.00004258091,0.000033055065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014145655,0.00007181813,0.00006877082,0.000067082976,0.00003270597,0.000013505706,0.00004574771,0.000071578565,0.000006001327],"category_scores_gemma":[0.0000038682692,0.00005716927,0.00001348568,0.000102757214,0.000038719736,0.00007150338,0.000009295874,0.00011104894,0.0000015562604],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002333776,0.00015151799,0.00016961763,0.001090572,0.0003538188,0.0000075470925,0.0021402736,0.014592326,0.100402296,0.2967205,0.0037490502,0.5805991],"study_design_scores_gemma":[0.0004675446,0.00028111634,0.010799662,0.0013310452,0.00015138157,0.00005180408,0.0013468515,0.04418686,0.13472994,0.0027685948,0.8031732,0.0007120103],"about_ca_topic_score_codex":0.000019722927,"about_ca_topic_score_gemma":0.00040717665,"teacher_disagreement_score":0.92676735,"about_ca_system_score_codex":0.000034345692,"about_ca_system_score_gemma":0.000019425426,"threshold_uncertainty_score":0.23312952},"labels":[],"label_agreement":null},{"id":"W4405501870","doi":"10.3390/smartcities7060154","title":"SoK: A Reality Check for DNP3 Attacks 15 Years Later","year":2024,"lang":"en","type":"article","venue":"Smart Cities","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Siemens (Canada)","funders":"Atlantic Canada Opportunities Agency","keywords":"Reality check; Computer science; Computer security; Geology; Test (biology)","score_opus":0.01830502980659932,"score_gpt":0.2520812484166864,"score_spread":0.23377621861008707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405501870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726917,0.0033972464,0.0023674483,0.00063604926,0.004988296,0.00032204052,0.00016729035,0.0012165396,0.014213368],"genre_scores_gemma":[0.9959877,0.00011712827,0.00018693887,0.000081770166,0.0005615632,0.000051063,0.000021684738,0.000031033607,0.0029611278],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935114,0.000009027824,0.00013326449,0.00015248582,0.000105227286,0.0002488606],"domain_scores_gemma":[0.99970883,0.00007036166,0.0000055666883,0.00015221677,0.00001573236,0.00004730686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013386023,0.000107872365,0.00012105875,0.00005975321,0.00004766302,0.000089979985,0.000104603525,0.0000840091,0.0000997389],"category_scores_gemma":[0.000014075134,0.00010159399,0.000089421424,0.00009147424,0.0000699633,0.00012786576,0.000024511832,0.0001298671,0.00013391553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005089097,0.000040515093,0.0035359568,0.00346254,0.0003636743,0.00010810698,0.018821985,0.0092296,0.0031317812,0.017839879,0.9344733,0.008941774],"study_design_scores_gemma":[0.00020076305,0.00004565254,0.0076926886,0.00016664658,0.000030361787,0.000011655889,0.0005773404,0.03166572,0.005124224,0.004367633,0.9497496,0.00036772722],"about_ca_topic_score_codex":0.00002145616,"about_ca_topic_score_gemma":0.00008224831,"teacher_disagreement_score":0.023295969,"about_ca_system_score_codex":0.000032241784,"about_ca_system_score_gemma":0.00002131919,"threshold_uncertainty_score":0.41428828},"labels":[],"label_agreement":null},{"id":"W4405558786","doi":"10.3389/fenrg.2024.1444697","title":"Towards a more secure reconstruction-based anomaly detection model for power transformer differential protection","year":2024,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; University of Toronto","funders":"","keywords":"Differential protection; Anomaly detection; Transformer; Nuclear engineering; Materials science; Computer science; Physics; Electrical engineering; Engineering; Data mining; Voltage","score_opus":0.020652924029107126,"score_gpt":0.2686905678245291,"score_spread":0.24803764379542198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405558786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12968627,0.0007448552,0.86614364,0.00017582874,0.0023687647,0.00032448818,0.000022706308,0.00019716499,0.0003362704],"genre_scores_gemma":[0.9963496,0.00013393261,0.0024514974,0.000006667245,0.00019455435,0.0005781782,0.000010564158,0.000042521187,0.0002325111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864775,0.000051532974,0.00019808934,0.00031453016,0.00033625957,0.0004518602],"domain_scores_gemma":[0.9996637,0.000026983025,0.0000068692852,0.00014591854,0.00007902954,0.000077478675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028542452,0.00014580289,0.00015570919,0.00070931256,0.0001415564,0.000091120026,0.00014397906,0.00024096409,0.000024134684],"category_scores_gemma":[0.000024027753,0.00013843017,0.00010892796,0.00064882584,0.00012804651,0.00020676113,0.000007692572,0.0005015414,0.0000015454528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042718093,0.000072346236,0.000116903415,0.0007168342,0.00011423619,0.000013954192,0.0022875727,0.6907592,0.023157686,0.00066512765,0.0038830794,0.2777859],"study_design_scores_gemma":[0.00029827704,0.00007655293,0.00006976496,0.00009138471,0.000005911485,0.000006787427,0.00023765901,0.96539164,0.028021332,0.001770643,0.0038745548,0.00015546782],"about_ca_topic_score_codex":0.00011405158,"about_ca_topic_score_gemma":0.00026422553,"teacher_disagreement_score":0.8666633,"about_ca_system_score_codex":0.00029186913,"about_ca_system_score_gemma":0.00012499823,"threshold_uncertainty_score":0.5645019},"labels":[],"label_agreement":null},{"id":"W4405621977","doi":"10.1016/j.epsr.2024.111361","title":"Optimal multi-type sensor placement using hybrid graph theory and numerical observability analysis for system observability and cybersecurity enhancement","year":2024,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; York University","funders":"","keywords":"Observability; Graph theory; Computer science; Engineering; Mathematics; Applied mathematics","score_opus":0.04980308017384735,"score_gpt":0.3287742849282646,"score_spread":0.2789712047544173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405621977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7864004,0.0190391,0.19220437,0.000018089748,0.0006973916,0.0013345312,0.00004932598,0.0002195748,0.00003723782],"genre_scores_gemma":[0.998728,0.00019256158,0.000696404,0.0000031211587,0.00008447882,0.0001682881,0.000013007769,0.00003775087,0.000076405646],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960133,0.0008909179,0.00057562103,0.0008578162,0.0007277415,0.0009345933],"domain_scores_gemma":[0.99743456,0.0014236588,0.00003577379,0.000508172,0.00030268327,0.00029516034],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005626803,0.0003086693,0.0005883715,0.0005484367,0.00033680382,0.00033363226,0.00023581149,0.0001523197,0.000013963443],"category_scores_gemma":[0.00032213124,0.00027118504,0.00015960592,0.0021872318,0.0001686934,0.00020186526,0.00012659119,0.0005745842,0.0000068808795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005401441,0.003346133,0.07394231,0.07127142,0.02333285,0.00094554847,0.025807401,0.36267537,0.39381644,0.03068886,0.004659357,0.0041128783],"study_design_scores_gemma":[0.00032834915,0.000337349,0.0018725133,0.0001542463,0.00018091538,0.00004852843,0.001137489,0.9895167,0.0046961624,0.000030378786,0.0013466241,0.00035074473],"about_ca_topic_score_codex":0.00019025044,"about_ca_topic_score_gemma":0.00001060081,"teacher_disagreement_score":0.6268413,"about_ca_system_score_codex":0.00069943717,"about_ca_system_score_gemma":0.00010946621,"threshold_uncertainty_score":0.999974},"labels":[],"label_agreement":null},{"id":"W4405739336","doi":"10.55041/ijsrem40065","title":"Strategic Approaches to Cybersecurity Audits for Control Evaluation","year":2024,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Computer security; Control (management); Computer science; Business; Process management; Accounting; Artificial intelligence","score_opus":0.1906154641192708,"score_gpt":0.34565471972589423,"score_spread":0.15503925560662343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405739336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88746214,0.0057695066,0.09594557,0.0018032483,0.0062655797,0.001317482,0.000028828097,0.00006700735,0.0013406514],"genre_scores_gemma":[0.9986449,0.00010473688,0.0009901428,0.0000029596301,0.00014631549,0.00005161461,0.0000025337415,0.000008625993,0.0000481675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987075,0.000032401924,0.0002531893,0.00015730983,0.00061639433,0.00023325135],"domain_scores_gemma":[0.9995581,0.0001505637,0.000010047374,0.00006981624,0.00012262541,0.00008884555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004524454,0.00007423672,0.00010282881,0.0010435093,0.000054455362,0.00033219613,0.00015820845,0.000027201459,0.0000076801725],"category_scores_gemma":[0.000031119955,0.00006468004,0.00005072224,0.00049326906,0.000046932797,0.00018862673,0.000026448113,0.0002252594,0.0000060509024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039264196,0.000043578275,0.000013418841,0.0013705837,0.00012410479,0.00005143763,0.0006270094,0.9310296,0.0015848286,0.047548443,0.0029560425,0.014611679],"study_design_scores_gemma":[0.00040291675,0.00005808763,0.00048001177,0.00086475763,0.000013721511,0.000024030542,0.0002552124,0.9828381,0.0001783908,0.0039475667,0.010851738,0.000085444546],"about_ca_topic_score_codex":0.0000010274689,"about_ca_topic_score_gemma":0.0000040596215,"teacher_disagreement_score":0.11118278,"about_ca_system_score_codex":0.00011715019,"about_ca_system_score_gemma":0.000025681127,"threshold_uncertainty_score":0.3203375},"labels":[],"label_agreement":null},{"id":"W4405814316","doi":"10.3390/electronics14010042","title":"An Internet of Things—Supervisory Control and Data Acquisition (IoT-SCADA) Architecture for Photovoltaic System Monitoring, Control, and Inspection in Real Time","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SCADA; Internet of Things; Supervisory control; Embedded system; Computer science; Photovoltaic system; Control (management); Architecture; Monitoring and control; Real-time computing; Engineering; Electrical engineering; Control engineering; Artificial intelligence","score_opus":0.0076837217473536435,"score_gpt":0.22818085812096436,"score_spread":0.2204971363736107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405814316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657434,0.021143738,0.01201797,0.00002449808,0.00027428308,0.0003737197,0.000051521754,0.00030834126,0.00006253297],"genre_scores_gemma":[0.99878675,0.000671321,0.000257549,0.000008634483,0.00019113516,0.000021898775,0.000029616634,0.000024838746,0.000008286909],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917305,0.00003609014,0.00019064487,0.000265366,0.00010640925,0.00022846585],"domain_scores_gemma":[0.9996095,0.00010021967,0.000020755031,0.00020651663,0.000018331551,0.00004470918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030777557,0.0001287254,0.00020388098,0.00011902928,0.000035231238,0.000056719422,0.00014686021,0.000115526746,0.000001042221],"category_scores_gemma":[0.0000104985,0.00012228468,0.00002073039,0.000099788296,0.000037002384,0.00023707401,0.000020938553,0.00025122866,7.903426e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051358755,0.00007212213,0.003111751,0.0028681864,0.0002780197,0.000021645877,0.0049791713,0.0074200374,0.9620153,0.0020584879,0.0004994734,0.016162274],"study_design_scores_gemma":[0.0007917191,0.00026966713,0.0018551701,0.00025797117,0.00004559642,0.000038271977,0.00010510833,0.98699874,0.0082019735,0.00015776369,0.0011344936,0.00014354414],"about_ca_topic_score_codex":0.00005678172,"about_ca_topic_score_gemma":0.000072406234,"teacher_disagreement_score":0.9795787,"about_ca_system_score_codex":0.000097617856,"about_ca_system_score_gemma":0.000028970575,"threshold_uncertainty_score":0.49866244},"labels":[],"label_agreement":null},{"id":"W4405934657","doi":"10.1109/tsg.2024.3524455","title":"A Probabilistic-Based Approach for Detecting Simultaneous Load Redistribution Attacks Through Entropy Analysis and Deep Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Probabilistic logic; Computer science; Redistribution (election); Entropy (arrow of time); Artificial intelligence; Principle of maximum entropy; Machine learning","score_opus":0.010195564991229053,"score_gpt":0.23415223502106905,"score_spread":0.22395667002984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405934657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03933736,0.0004538068,0.95798707,0.000033492695,0.00091400585,0.00039207432,0.00009898373,0.00066801225,0.00011518448],"genre_scores_gemma":[0.99495584,0.000074137846,0.004498269,0.000014780295,0.00018813244,0.00015845691,0.000042624815,0.000034448138,0.000033284476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868953,0.000044773158,0.00026937766,0.00042177807,0.00023077447,0.00034375314],"domain_scores_gemma":[0.99904984,0.00058673095,0.000023351802,0.00018002721,0.00007444692,0.00008561442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021330439,0.00023068281,0.00025673927,0.00017026867,0.00035591781,0.00013338904,0.0000885743,0.000151192,0.000018519979],"category_scores_gemma":[0.00004927542,0.00022364232,0.0002293026,0.0008243166,0.0000813769,0.00014925611,9.87942e-7,0.0004676142,0.000007656162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005396802,0.00004911434,0.000014527027,0.00034671839,0.000279987,0.000008783582,0.0004943949,0.98957646,0.0017888937,0.00002484006,0.000019965277,0.0073423535],"study_design_scores_gemma":[0.00027052333,0.00012592401,0.000013666518,0.00004252189,0.00055902085,0.000013574984,0.00012803166,0.9782191,0.017324634,0.000033963173,0.0030201052,0.00024895734],"about_ca_topic_score_codex":0.000030942458,"about_ca_topic_score_gemma":0.00009388902,"teacher_disagreement_score":0.9556185,"about_ca_system_score_codex":0.00021746832,"about_ca_system_score_gemma":0.000035750996,"threshold_uncertainty_score":0.9119869},"labels":[],"label_agreement":null},{"id":"W4405935319","doi":"10.23919/cnsm62983.2024.10814381","title":"Coordinated Sampling in SDNs with Dynamic Flow Rates","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.006000820024192404,"score_gpt":0.23098373667025804,"score_spread":0.22498291664606562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405935319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92980117,0.0017739406,0.06058874,0.00019705869,0.0005856898,0.000116729294,0.0000045968104,0.0009171898,0.006014894],"genre_scores_gemma":[0.9982826,0.000060702772,0.0013129502,0.00001263459,0.000019971914,0.0000062596578,0.0000051478523,0.000014818279,0.0002848865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961215,0.000004339489,0.00007544726,0.00010668239,0.000050536786,0.00015085578],"domain_scores_gemma":[0.99985194,0.00004536938,0.0000016761945,0.000068089816,0.0000064265278,0.000026491394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048590275,0.00007463362,0.00007083309,0.00008671718,0.000016485015,0.000046012534,0.00005810853,0.000036977002,0.00008473872],"category_scores_gemma":[0.0000044406943,0.000054662632,0.000013254965,0.0003328022,0.000018353883,0.000092986484,0.000008879531,0.00013906919,0.0000671272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009568017,0.000017685046,0.0016978057,0.00031190878,0.000041352763,0.00014076986,0.0010650284,0.98126364,0.006681543,0.0013363863,0.0008453764,0.0065889102],"study_design_scores_gemma":[0.000078709454,0.000013163743,0.0017922358,0.000122185,0.0000028798333,0.000012145538,0.000105380415,0.994607,0.0013296935,0.0001111033,0.0017178353,0.00010769506],"about_ca_topic_score_codex":0.000025862331,"about_ca_topic_score_gemma":0.0005356049,"teacher_disagreement_score":0.06848147,"about_ca_system_score_codex":0.00003407074,"about_ca_system_score_gemma":0.000011209769,"threshold_uncertainty_score":0.22290774},"labels":[],"label_agreement":null},{"id":"W4406012017","doi":"10.1109/mpe.2024.3446737","title":"Wide-Area-Measurement-System-Based Event Analytics in the Power System: A Data-Driven Framework for Disturbance Characterization and Source Localization in the Indian Grid","year":2025,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Disturbance (geology); Analytics; Event (particle physics); Power grid; Characterization (materials science); Grid; Computer science; Electric power system; Event data; Real-time computing; Power (physics); Database; Geography; Geology","score_opus":0.012683301806506547,"score_gpt":0.22228872360777918,"score_spread":0.20960542180127265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406012017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06671937,0.0006571997,0.93065333,0.00053014915,0.0008068614,0.00028736898,0.0000731783,0.000058237867,0.00021429831],"genre_scores_gemma":[0.9991841,0.000058236812,0.0000545646,0.00042925464,0.000052467716,0.000064311644,0.00012848206,0.000012135455,0.000016485368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898857,0.00009072313,0.0002778492,0.00023331774,0.00021255924,0.00019696026],"domain_scores_gemma":[0.99936193,0.00014736096,0.00004598095,0.00037696274,0.000040137602,0.000027607888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684165,0.00015265083,0.00017887863,0.00012353981,0.000097814074,0.00009255016,0.00027521793,0.00009989377,0.0000011667597],"category_scores_gemma":[0.00006241723,0.000103001126,0.000022967884,0.00042755328,0.0000462574,0.000115941235,0.000022610666,0.0001298214,6.543038e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003500526,0.0004801913,0.043451514,0.004602719,0.00024240617,0.00008993058,0.018869914,0.8855269,0.0019183661,0.028184352,0.012579716,0.00370392],"study_design_scores_gemma":[0.0009268344,0.00007191423,0.045868747,0.0014651947,0.00006442571,0.000012076161,0.0018009122,0.88290715,0.00012480702,0.00006883651,0.0663648,0.0003243261],"about_ca_topic_score_codex":0.00003319161,"about_ca_topic_score_gemma":0.00036472848,"teacher_disagreement_score":0.9324647,"about_ca_system_score_codex":0.00006655947,"about_ca_system_score_gemma":0.000024340276,"threshold_uncertainty_score":0.42002642},"labels":[],"label_agreement":null},{"id":"W4406012029","doi":"10.1109/mpe.2024.3435811","title":"Wide-Area Monitoring Protection and Control Supported Operation and Planning in the Ecuadorian Power System: Improving Security and Reliability","year":2025,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Control (management); Risk analysis (engineering); Power (physics); Computer science; Business; Engineering","score_opus":0.0044957281851029,"score_gpt":0.19854347554698684,"score_spread":0.19404774736188393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406012029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99106055,0.0014219389,0.005546288,0.0001341412,0.00071885675,0.0001722305,0.000004674052,0.00007936479,0.00086196786],"genre_scores_gemma":[0.9997137,0.00010881672,0.000024826142,0.000034368975,0.000049832448,0.000039892522,0.0000016677853,0.000008420971,0.000018465538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919766,0.000064689244,0.00021014099,0.00025059562,0.000090729365,0.00018615501],"domain_scores_gemma":[0.9996788,0.00008917312,0.000022602933,0.0001309682,0.000027864262,0.000050618568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034475734,0.00015313881,0.00018067072,0.00009401619,0.00015405417,0.00011681985,0.000047489586,0.00010995075,0.0000014157199],"category_scores_gemma":[0.000045952598,0.00011974718,0.000013315656,0.000112972564,0.000066895554,0.00022335889,0.000022577464,0.00019212099,2.1346099e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013965778,0.0003932861,0.5404688,0.006967478,0.00040881586,0.00043397894,0.05797246,0.079263374,0.2891611,0.0036407688,0.0016658016,0.018227555],"study_design_scores_gemma":[0.0047988845,0.00039189676,0.61406684,0.0010044534,0.00013906907,0.00021826253,0.007121172,0.35439476,0.011659762,0.0006107773,0.004586638,0.0010074617],"about_ca_topic_score_codex":0.00020531607,"about_ca_topic_score_gemma":0.00006962223,"teacher_disagreement_score":0.2775013,"about_ca_system_score_codex":0.000030647774,"about_ca_system_score_gemma":0.000011052615,"threshold_uncertainty_score":0.4883148},"labels":[],"label_agreement":null},{"id":"W4406134912","doi":"10.1007/978-3-031-78806-2_11","title":"Development Pitfalls: A Case Study in Developing a Smart Grid Co-simulation Platform Based on HELICS","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Smart grid; Grid; Computer science; Co-simulation; Systems engineering; Engineering; Embedded system; Geography; Electrical engineering","score_opus":0.03471629917611491,"score_gpt":0.2706851206987554,"score_spread":0.23596882152264048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406134912","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018697275,0.00015942824,0.9768584,0.000114440474,0.00088408065,0.0013110741,0.000045568988,0.00011486469,0.0018149145],"genre_scores_gemma":[0.28850904,0.00005079462,0.7110061,0.00017415178,0.00010457119,0.00006317428,0.000053387175,0.000023689172,0.000015060357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886024,0.0000059886256,0.0006160567,0.000115513096,0.00020976603,0.0001924514],"domain_scores_gemma":[0.9990981,0.0003647222,0.00013801895,0.00030066326,0.000070038936,0.000028432263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033678336,0.00025805645,0.00030442595,0.00037232705,0.0005615415,0.00009393576,0.00058165175,0.0001737128,4.4305708e-7],"category_scores_gemma":[0.00003523799,0.0002220281,0.0000788446,0.00024221082,0.00012070142,0.00015285544,0.00016727271,0.00039656827,3.2268687e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017842154,0.000015487234,0.000016323285,0.0002552857,0.000033391843,0.0000012005054,0.0029403467,0.990064,5.095829e-7,0.0012211568,0.000011288779,0.0054391883],"study_design_scores_gemma":[0.00027154566,0.00003646988,0.00008137852,0.00045048274,0.000018462257,0.000009949936,0.000032496177,0.9835565,0.00003763376,0.000031398155,0.015210994,0.0002626576],"about_ca_topic_score_codex":0.000026356362,"about_ca_topic_score_gemma":0.00073819066,"teacher_disagreement_score":0.26981178,"about_ca_system_score_codex":0.00017689535,"about_ca_system_score_gemma":0.00023005399,"threshold_uncertainty_score":0.9054043},"labels":[],"label_agreement":null},{"id":"W4406311994","doi":"10.1109/tii.2024.3523547","title":"Correlation-Based Deception Attack Detection for Cyber–Physical Control Systems With Multiple-Security Level Transmission Channels","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Computer science; Residual; Covariance; Channel (broadcasting); Data mining; Deception; Variation (astronomy); Algorithm; Theoretical computer science; Mathematics; Computer network; Statistics","score_opus":0.029889439430035063,"score_gpt":0.24578767703747792,"score_spread":0.21589823760744287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406311994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08274692,0.000009571519,0.9126424,0.00004521505,0.002791111,0.0012494845,0.00016394645,0.00025740612,0.00009394123],"genre_scores_gemma":[0.99923253,0.000007198069,0.00016692275,0.00003714682,0.00018924703,0.00028092676,0.000018086585,0.000020093075,0.000047851558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988252,0.00003787607,0.0004917394,0.00012138435,0.000250433,0.00027336],"domain_scores_gemma":[0.999068,0.00044170817,0.00008209928,0.00018770184,0.00012152856,0.0000989242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017140014,0.00024260764,0.00028819495,0.00026156835,0.00032229788,0.00009364926,0.00012020817,0.00035412164,0.000005277439],"category_scores_gemma":[0.000015327101,0.0002128552,0.00013251542,0.00042098714,0.00006197033,0.0003590165,3.555456e-7,0.00053454965,0.000013355984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004259133,0.00009400833,0.000007775736,0.00016327958,0.00006944828,1.9480554e-7,0.0006999634,0.9838059,0.00022776873,0.000015207943,0.00018148865,0.0143090775],"study_design_scores_gemma":[0.004429271,0.00023195428,0.000010351821,0.00027675636,0.00011399164,0.000002153415,0.00032678596,0.97589684,0.016031204,0.000010610571,0.002439717,0.00023038845],"about_ca_topic_score_codex":0.000033480585,"about_ca_topic_score_gemma":0.000034438828,"teacher_disagreement_score":0.9164856,"about_ca_system_score_codex":0.00018069358,"about_ca_system_score_gemma":0.000093071016,"threshold_uncertainty_score":0.8679983},"labels":[],"label_agreement":null},{"id":"W4406322324","doi":"10.1109/mpel.2024.3491572","title":"Cybersecurity Challenges in Low-Inertia Power-Electronics-Dominated Grids","year":2024,"lang":"en","type":"article","venue":"IEEE Power Electronics Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electronics; Inertia; Power electronics; Electrical engineering; Power (physics); Power grid; Computer science; Engineering; Physics","score_opus":0.007808490568654984,"score_gpt":0.2217751953321993,"score_spread":0.21396670476354432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406322324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6849384,0.28069022,0.00069354527,0.0014832264,0.0043166354,0.0005936428,0.000032405493,0.0017996209,0.025452321],"genre_scores_gemma":[0.9776394,0.021519642,0.000038819595,0.0000667481,0.00019434874,0.000053937507,0.000022979048,0.00013258286,0.0003315395],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966013,0.00007953656,0.00057211466,0.0007397104,0.00042747252,0.0015798548],"domain_scores_gemma":[0.9989692,0.00014598914,0.000036492882,0.00058280467,0.00006902684,0.00019646832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004900323,0.00055636803,0.0005076322,0.00047993445,0.00007288267,0.00012666614,0.0005289584,0.00036234682,0.00026221792],"category_scores_gemma":[0.000042992066,0.00055839226,0.00019766594,0.0010020438,0.000106574844,0.000401723,0.000055952256,0.0015997107,0.0007336647],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089385954,0.002599223,0.0003223512,0.0053480132,0.0021566825,0.0043102964,0.02932779,0.09077909,0.49618036,0.19907583,0.1278756,0.041130934],"study_design_scores_gemma":[0.0026697963,0.0014068786,0.0016445916,0.0011267976,0.00013334845,0.00048212905,0.00028055563,0.1448662,0.08613257,0.010074441,0.7479629,0.0032198043],"about_ca_topic_score_codex":0.000008995548,"about_ca_topic_score_gemma":0.0010370092,"teacher_disagreement_score":0.6200873,"about_ca_system_score_codex":0.0006648334,"about_ca_system_score_gemma":0.00023970254,"threshold_uncertainty_score":0.9996868},"labels":[],"label_agreement":null},{"id":"W4406331660","doi":"10.3390/electronics14020288","title":"Model-Free Resilient Grid-Forming and Grid-Following Inverter Control Against Cyberattacks Using Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Università degli Studi di Firenze; Office of Energy Efficiency; Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; National Science Foundation","keywords":"Grid; Inverter; Computer science; Control (management); Fault detection and isolation; Set (abstract data type); Engineering; Real-time computing; Electrical engineering; Artificial intelligence","score_opus":0.006732770091512072,"score_gpt":0.22105537410101053,"score_spread":0.21432260400949846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406331660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9007365,0.012243728,0.080460005,0.00013613197,0.001085927,0.0003826537,0.0000033090066,0.00034964288,0.004602077],"genre_scores_gemma":[0.9976248,0.00094649877,0.00043030427,0.0005109413,0.00016872294,0.000017797773,0.000010093096,0.000033590743,0.00025726095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983697,0.00003439071,0.0003537554,0.00029184515,0.00024810384,0.0007022017],"domain_scores_gemma":[0.9994488,0.00006671453,0.00004175676,0.00032077654,0.000033627857,0.00008834743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030490613,0.00026458642,0.0002921609,0.00017490446,0.00036282925,0.00009700257,0.00025065194,0.00014915413,0.0000034848877],"category_scores_gemma":[0.00007481189,0.0002709052,0.000106093845,0.00027310124,0.00004255399,0.00027348808,0.00010816796,0.00063948374,0.000003498439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017590368,0.000008332133,0.00062552845,0.000068483845,0.00010358029,0.000007932835,0.00038974988,0.9817726,0.013556262,0.00079578074,0.0009977645,0.0016563649],"study_design_scores_gemma":[0.0009854204,0.000039504845,0.000044381926,0.00013550305,0.000055535183,0.000004170075,0.00007816124,0.9808409,0.0045373826,0.00025661883,0.012735855,0.00028653836],"about_ca_topic_score_codex":0.000007950296,"about_ca_topic_score_gemma":0.000069603964,"teacher_disagreement_score":0.09688826,"about_ca_system_score_codex":0.00035715834,"about_ca_system_score_gemma":0.00013086441,"threshold_uncertainty_score":0.9999743},"labels":[],"label_agreement":null},{"id":"W4406709262","doi":"10.1016/j.engappai.2025.110091","title":"A critical review of safe reinforcement learning strategies in power and energy systems","year":2025,"lang":"en","type":"review","venue":"Engineering Applications of Artificial Intelligence","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"University of Michigan","keywords":"Computer science; Reinforcement learning; Energy (signal processing); Power (physics); Artificial intelligence","score_opus":0.020169804150175514,"score_gpt":0.30091181433721664,"score_spread":0.28074201018704115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406709262","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.9424708e-7,0.7330719,0.26597133,0.000003248624,0.00011538386,0.000238707,0.0000063347748,0.000042884913,0.0005497778],"genre_scores_gemma":[0.002974955,0.99610806,0.00042245066,0.000001701673,0.00003176016,0.00040625499,0.00001461208,0.000018916142,0.000021275564],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983724,0.000028936558,0.001046529,0.00021189844,0.0001527329,0.0001875363],"domain_scores_gemma":[0.998981,0.00050522364,0.000093367664,0.00029047462,0.00008279361,0.00004713617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025020711,0.00023577253,0.00088523724,0.00032836423,0.000023924407,0.000023272874,0.00026225342,0.00015388873,0.000012747356],"category_scores_gemma":[0.00019721412,0.00023816703,0.00011409762,0.0007374161,0.000081734244,0.00007558055,0.000056082477,0.00030789227,0.000003329249],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.4630555e-7,0.000023793855,1.5726516e-7,0.29037514,0.0000385347,0.0000011777736,0.000067893016,0.28382257,0.000008471954,0.17508735,0.000021891618,0.25055227],"study_design_scores_gemma":[0.000010785376,0.00004884444,4.9457014e-7,0.24667943,0.00019014349,0.000011557248,0.0002080222,0.090661064,0.00014282382,0.00022450401,0.66128767,0.00053468964],"about_ca_topic_score_codex":0.000033115746,"about_ca_topic_score_gemma":0.000002730132,"teacher_disagreement_score":0.66126573,"about_ca_system_score_codex":0.000045735247,"about_ca_system_score_gemma":0.00009084965,"threshold_uncertainty_score":0.971217},"labels":[],"label_agreement":null},{"id":"W4406716556","doi":"10.1016/j.apenergy.2025.125364","title":"Cybersecurity of distributed energy resource systems in the smart grid: A survey","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Smart grid; Resource (disambiguation); Computer security; Distributed generation; Grid; Computer science; Energy (signal processing); Business; Embedded system; Telecommunications; Engineering; Renewable energy; Computer network; Electrical engineering; Geography; Physics","score_opus":0.0065788287648086185,"score_gpt":0.1914787012366364,"score_spread":0.1848998724718278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406716556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7610806,0.009413911,0.05567832,0.00026754674,0.0035236345,0.0005501533,0.00059607974,0.00071215443,0.1681776],"genre_scores_gemma":[0.99939376,0.00013340719,0.000007678431,0.00009737962,0.00006825918,0.00006906027,0.00017249022,0.00001160462,0.000046360066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988967,0.00011772642,0.00032598784,0.00019132464,0.00019500648,0.00027321093],"domain_scores_gemma":[0.9991596,0.00034505277,0.00003673368,0.00040128597,0.000022693486,0.00003464484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041514714,0.00015784374,0.0002571601,0.000117735566,0.000053996093,0.000025775877,0.0004160545,0.00013636895,0.000004337331],"category_scores_gemma":[0.000024675974,0.00012588613,0.000045336055,0.00085054943,0.00008345842,0.000028047061,0.00005455386,0.00014982796,0.0000016396751],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009172259,0.00021084752,0.0017364867,0.00021499711,0.00012276093,0.00001742361,0.00096999324,0.3672825,0.0017803893,0.5725317,0.053281866,0.0017592919],"study_design_scores_gemma":[0.0013654248,0.00004541988,0.055538144,0.00018852299,0.00004364941,0.000009882923,0.0018653645,0.057425838,0.010234422,0.0021485444,0.8704174,0.00071734685],"about_ca_topic_score_codex":0.005968387,"about_ca_topic_score_gemma":0.0040192534,"teacher_disagreement_score":0.8171356,"about_ca_system_score_codex":0.000045434652,"about_ca_system_score_gemma":0.00002570436,"threshold_uncertainty_score":0.9022455},"labels":[],"label_agreement":null},{"id":"W4406725970","doi":"10.1049/gtd2.70006","title":"State‐of‐the‐art of cybersecurity in the power system: Simulation, detection, mitigation, and research gaps","year":2025,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Università degli Studi di Firenze; Office of Energy Efficiency; Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy; National Science Foundation; Commonwealth Cyber Initiative","keywords":"Firmware; Computer security; Network packet; Computer science; Electric power system; State (computer science); Power (physics); Operating system","score_opus":0.010605080947675002,"score_gpt":0.2646810949049936,"score_spread":0.2540760139573186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406725970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8411459,0.0006046239,0.15688077,0.00038992622,0.00028394436,0.00041721974,0.000053640182,0.000031699205,0.00019232345],"genre_scores_gemma":[0.99974954,0.000081883634,0.000025052415,0.0000100120305,0.000023671293,0.000021908634,0.00006084752,0.0000042683764,0.000022812628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987009,0.00028154402,0.00039079774,0.00014318319,0.00035010243,0.00013348243],"domain_scores_gemma":[0.99934095,0.00012356458,0.000042350843,0.00019314024,0.00027321008,0.000026779577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008793107,0.000086149244,0.00011160896,0.00009054477,0.00022134648,0.000027832339,0.00012513509,0.00008830218,0.000006653045],"category_scores_gemma":[0.0000752735,0.00006130033,0.000043533928,0.0008594774,0.00012280083,0.0001241974,0.000010036914,0.00020168202,0.0000011711962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007848034,0.00017765639,0.0032412286,0.0010883816,0.000038796006,0.0000013341837,0.006990585,0.70832324,0.25595477,0.008901791,0.0064038257,0.0087999385],"study_design_scores_gemma":[0.0006160333,0.000051344494,0.05343251,0.00035863434,0.000022915028,0.0000035602156,0.0007404077,0.45069546,0.47769436,0.0010466259,0.015191718,0.00014645522],"about_ca_topic_score_codex":0.000025156656,"about_ca_topic_score_gemma":0.000081733815,"teacher_disagreement_score":0.2576278,"about_ca_system_score_codex":0.00007541331,"about_ca_system_score_gemma":0.000049558912,"threshold_uncertainty_score":0.24997549},"labels":[],"label_agreement":null},{"id":"W4406754378","doi":"10.1109/tia.2025.3532917","title":"False Data Injection Attack Detection and Localization Framework in Power Distribution Systems Using a Novel Ensemble of CNNs and Explainable Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Iran National Science Foundation","keywords":"Artificial intelligence; Computer science; Pattern recognition (psychology); Artificial neural network; Machine learning","score_opus":0.043754746529730534,"score_gpt":0.29537216755659573,"score_spread":0.2516174210268652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406754378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13791646,0.00012447702,0.86105466,0.000020115476,0.00026015003,0.00040627547,0.00012373696,0.00006242933,0.00003172895],"genre_scores_gemma":[0.9993094,0.00008330611,0.00041482842,0.0000065303016,0.000026328826,0.00012478256,0.000016542319,0.000009706869,0.000008580128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991374,0.000022639078,0.00032875058,0.00027031495,0.00009710071,0.00014379752],"domain_scores_gemma":[0.9994155,0.00010900753,0.000046813955,0.00033000988,0.00005538864,0.00004329194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016132972,0.00011987437,0.00013709917,0.00019195881,0.0002207391,0.00004558772,0.00010576512,0.0003752725,0.0000037983637],"category_scores_gemma":[0.000014089547,0.00014027367,0.000014469413,0.0009566996,0.0000949493,0.00025207162,0.000004730937,0.00049410824,0.0000011350519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001955661,0.00013663103,0.000097327844,0.00015032804,0.000019727146,1.880929e-7,0.00017436553,0.9797622,0.010282742,0.002062647,0.0000066674975,0.007287651],"study_design_scores_gemma":[0.000094058574,0.000034194058,0.0002522761,0.00030856716,0.000046439192,0.00001740669,0.0015942281,0.9586741,0.037444342,0.00081112713,0.00054927706,0.00017400659],"about_ca_topic_score_codex":0.0001549445,"about_ca_topic_score_gemma":0.00013893122,"teacher_disagreement_score":0.8613929,"about_ca_system_score_codex":0.0001094856,"about_ca_system_score_gemma":0.000032772627,"threshold_uncertainty_score":0.57201946},"labels":[],"label_agreement":null},{"id":"W4406874345","doi":"10.1049/icp.2024.2613","title":"Advanced resilience planning for distribution systems","year":2025,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Resilience (materials science); Computer science; Distribution (mathematics); Environmental planning; Risk analysis (engineering); Environmental resource management; Business; Environmental science; Mathematics; Physics","score_opus":0.01062663103882318,"score_gpt":0.24817324699164822,"score_spread":0.23754661595282503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406874345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.590741,0.0029419388,0.3728447,0.00030715053,0.003544307,0.0013931111,0.000111761445,0.0013097919,0.026806274],"genre_scores_gemma":[0.9989082,0.00007870109,0.00034163115,0.000021133095,0.000093151044,0.00019256065,0.00002001593,0.000009579439,0.00033498634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990719,0.0000025700253,0.00021973773,0.00024729298,0.00012782408,0.00033067868],"domain_scores_gemma":[0.9995556,0.00004308552,0.000035081117,0.00008442009,0.00022225795,0.00005957925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014331825,0.00015470452,0.00018410994,0.000059420003,0.00015672506,0.00014520167,0.0002582672,0.00011004073,0.0000034731142],"category_scores_gemma":[0.00013657071,0.00015106708,0.000040048697,0.0002693118,0.00006423264,0.00028120592,0.000029814715,0.00015838293,0.0000066603484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035667457,0.00014277341,0.022327207,0.006993693,0.00019488164,0.000009022309,0.005212186,0.11289642,0.10718147,0.5935644,0.119779654,0.031341616],"study_design_scores_gemma":[0.0010032102,0.00013289695,0.0072206724,0.0017520931,0.00004581117,0.000010758303,0.003932228,0.8269952,0.031842917,0.0029340216,0.12342591,0.00070427114],"about_ca_topic_score_codex":0.0000032174485,"about_ca_topic_score_gemma":9.289236e-7,"teacher_disagreement_score":0.7140988,"about_ca_system_score_codex":0.000070485825,"about_ca_system_score_gemma":0.000043456683,"threshold_uncertainty_score":0.6160337},"labels":[],"label_agreement":null},{"id":"W4406990511","doi":"10.1038/s41598-025-88090-5","title":"An artificial insurance framework for a hydrogen-based microgrid to detect the advanced cyberattack model","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Microgrid; Computer science; Computer security; Artificial intelligence","score_opus":0.010388365672034222,"score_gpt":0.2691608486642438,"score_spread":0.25877248299220956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406990511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.736917,0.00034898508,0.2555731,0.00020255016,0.0059849215,0.00065601326,0.000013152227,0.00020717013,0.000097080985],"genre_scores_gemma":[0.9821186,0.0000025181187,0.01721451,0.00021986256,0.00009380029,0.00021127619,0.000012470639,0.000019724126,0.000107251624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983538,0.000021020749,0.00039221032,0.0005777782,0.00025051026,0.00040472345],"domain_scores_gemma":[0.99858963,0.00009611422,0.00005437652,0.0010339761,0.0001152268,0.00011067417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070327305,0.00016909721,0.00017172065,0.00014213155,0.00053853233,0.0002795514,0.00030814338,0.000100470956,0.000006088675],"category_scores_gemma":[0.00020289399,0.00013505864,0.00011077287,0.00082961435,0.00015029682,0.00012811295,0.000025323086,0.00017665098,0.000009486998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019614603,0.000024274834,0.00010302925,0.000036782025,0.000009015543,0.000012645828,0.0003246429,0.7980069,0.191796,0.0002817903,0.0021096203,0.007275706],"study_design_scores_gemma":[0.000071883376,0.000025850926,0.000117820746,0.00009739798,0.000012067664,0.000007887182,0.000053686497,0.35775134,0.58792347,0.035383336,0.018320585,0.0002346788],"about_ca_topic_score_codex":0.0000027959247,"about_ca_topic_score_gemma":0.00007864475,"teacher_disagreement_score":0.44025552,"about_ca_system_score_codex":0.00005053498,"about_ca_system_score_gemma":0.00014184698,"threshold_uncertainty_score":0.5507531},"labels":[],"label_agreement":null},{"id":"W4407021093","doi":"10.1016/j.automatica.2025.112162","title":"Integrity attacks on state estimation with varying data access: From visibility to full restriction","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visibility; Estimation; State (computer science); Computer science; Computer security; Engineering; Algorithm; Geography; Systems engineering","score_opus":0.030108169468543538,"score_gpt":0.3172691492569253,"score_spread":0.28716097978838173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407021093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75563383,0.00002856549,0.24053246,0.00040480934,0.00036255896,0.00028198317,0.00007076274,0.00056628766,0.0021187537],"genre_scores_gemma":[0.9869232,0.000019663383,0.012763344,0.00013240466,0.000026685422,0.000017466822,0.00009345504,0.000010318895,0.000013471777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907905,0.00003767502,0.00022338108,0.0003020979,0.00018827025,0.00016952323],"domain_scores_gemma":[0.99882853,0.00025072903,0.000025464853,0.0008040342,0.00003019294,0.00006104984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018143684,0.00012835706,0.00014986786,0.00010898032,0.00009026942,0.00012921146,0.00047525912,0.00005802996,0.000028383485],"category_scores_gemma":[0.00022375926,0.00010631851,0.000014032751,0.0004472372,0.000025413747,0.00045223357,0.00015022069,0.00024912003,0.00007566759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038691214,0.0004093393,0.009549384,0.0008878535,0.00032509086,0.00003338743,0.0026165107,0.80068517,0.0036503093,0.00085539155,0.03434394,0.14625674],"study_design_scores_gemma":[0.00017033846,0.000049388098,0.05398225,0.00028980465,0.000021953965,5.480748e-7,0.000021028169,0.9411246,0.001928678,0.001919142,0.00036057996,0.00013166368],"about_ca_topic_score_codex":0.00018952745,"about_ca_topic_score_gemma":0.00013163347,"teacher_disagreement_score":0.23128936,"about_ca_system_score_codex":0.00009050412,"about_ca_system_score_gemma":0.000042209816,"threshold_uncertainty_score":0.43355432},"labels":[],"label_agreement":null},{"id":"W4407097814","doi":"10.1109/tsg.2025.3538012","title":"Cyber-Physical Interdependence for Power System Operation and Control","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control (management); Control system; Electric power system; Cyber-physical system; Power control; Computer science; Power (physics); Control engineering; Engineering; Control theory (sociology); Electrical engineering; Physics","score_opus":0.004219960424089189,"score_gpt":0.21597743742047654,"score_spread":0.21175747699638736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407097814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11741595,0.00006887661,0.8774498,0.00014674792,0.0033992152,0.00038921784,0.0000733369,0.00024121828,0.0008156504],"genre_scores_gemma":[0.9993985,0.000016406313,0.00012061146,0.000080813574,0.000093941766,0.00014211753,0.0000015229006,0.000012405474,0.0001336764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938303,0.000020019914,0.00015008346,0.0001884108,0.00009154596,0.00016689858],"domain_scores_gemma":[0.9996148,0.00014054183,0.000010128082,0.00015183479,0.000031516836,0.000051190684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007922104,0.00013096783,0.00016744618,0.000097070166,0.00016931695,0.000049056962,0.00008639988,0.0000733229,0.000008302252],"category_scores_gemma":[0.0000024633791,0.00012222321,0.00007384682,0.00009051409,0.00004350609,0.00013947075,6.205048e-7,0.00016896884,0.000024501456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008291707,0.0006990158,0.00021751873,0.0018420254,0.00086263637,0.000025081079,0.0042497343,0.83680254,0.11264606,0.009809819,0.008479009,0.023537392],"study_design_scores_gemma":[0.002712856,0.00033316645,0.00077359204,0.0003643605,0.00017542389,0.000032650227,0.0006510233,0.8196758,0.16490307,0.00009215852,0.0097565325,0.0005293703],"about_ca_topic_score_codex":0.000011071939,"about_ca_topic_score_gemma":0.000043908054,"teacher_disagreement_score":0.88198256,"about_ca_system_score_codex":0.00005984258,"about_ca_system_score_gemma":0.000017073713,"threshold_uncertainty_score":0.49841177},"labels":[],"label_agreement":null},{"id":"W4407361090","doi":"10.1109/isgteurope62998.2024.10863609","title":"A Co-Simulation Platform for Wireless LTE Networks in Smart Distribution Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Co-simulation; Wireless; Computer network; Wireless network; Embedded system; Telecommunications","score_opus":0.012567195679233204,"score_gpt":0.24872295432177904,"score_spread":0.23615575864254584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407361090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26188865,0.001346851,0.7332569,0.000015463473,0.0017808557,0.0003864894,0.000034941826,0.00042515362,0.00086467847],"genre_scores_gemma":[0.99940014,0.00006503733,0.000014377431,0.0000044818753,0.00021116454,0.00004959174,0.00014711302,0.000011992964,0.00009612359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994781,0.0000044584604,0.00015893209,0.00010957986,0.00007075024,0.00017818279],"domain_scores_gemma":[0.99974424,0.00013711618,0.0000057996185,0.000069930255,0.000012351922,0.00003056291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001412008,0.00007813235,0.000092150185,0.00004267821,0.000032296055,0.00007665034,0.00004862816,0.00009320109,0.0000061585815],"category_scores_gemma":[0.0000063666616,0.000068794725,0.00003318207,0.0001721052,0.000011407015,0.00017165649,0.0000041025687,0.00010116525,0.000013599482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064604733,0.0000048791735,0.0002255359,0.00019534187,0.000008107195,0.0000028044342,0.00008336977,0.9900983,0.00006724567,0.0057490133,0.001409646,0.0021493111],"study_design_scores_gemma":[0.000112874404,0.0000122621905,0.000451793,0.00011518528,0.0000039835136,0.0000022091415,0.000043917655,0.9823433,0.00017210426,0.00005479079,0.016592782,0.00009480693],"about_ca_topic_score_codex":0.000027191318,"about_ca_topic_score_gemma":0.00005812178,"teacher_disagreement_score":0.73751146,"about_ca_system_score_codex":0.00008173257,"about_ca_system_score_gemma":0.000007978251,"threshold_uncertainty_score":0.28053677},"labels":[],"label_agreement":null},{"id":"W4407362855","doi":"10.1109/isgteurope62998.2024.10863271","title":"Challenges in Protecting Micro-Grids with Inverter-Based Resources: A Focus on Line Differential Protection and Wind Turbine Type-4","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Focus (optics); Wind power; Turbine; Line (geometry); Inverter; Computer science; Differential protection; Electrical engineering; Engineering; Aerospace engineering; Physics; Voltage; Mathematics","score_opus":0.029345950471204734,"score_gpt":0.21983155117262193,"score_spread":0.1904856007014172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407362855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948148,0.0014178805,0.0012703434,0.0005563564,0.00020702754,0.00045768963,0.0000013237349,0.00034885702,0.00092568767],"genre_scores_gemma":[0.99951094,0.00007894264,0.00011746963,0.000011183765,0.00017877982,0.000032383858,0.0000011288084,0.000025944639,0.000043194374],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992968,0.000031419957,0.00012259276,0.00025312143,0.00011566573,0.00018044267],"domain_scores_gemma":[0.99978113,0.00004152789,0.000008980522,0.00011295539,0.000012370381,0.00004306198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010360816,0.000150939,0.00012865462,0.00018076602,0.00004607504,0.000059476715,0.00005346875,0.000094505616,0.000017164946],"category_scores_gemma":[0.000015742638,0.00010648333,0.000017678216,0.0002280686,0.000033033008,0.000068388326,0.00001425914,0.00041119492,0.000008359523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018557066,0.0006034408,0.0015122654,0.0087076975,0.00032338724,0.0004628986,0.022060784,0.09220003,0.4287329,0.0008176163,0.00019719213,0.44252607],"study_design_scores_gemma":[0.0016396203,0.0025790446,0.005540909,0.0026705032,0.000030582614,0.00008148771,0.00066653936,0.7908147,0.1926752,0.000261728,0.0023319365,0.0007077247],"about_ca_topic_score_codex":0.000055649518,"about_ca_topic_score_gemma":0.0005675039,"teacher_disagreement_score":0.6986147,"about_ca_system_score_codex":0.00003805625,"about_ca_system_score_gemma":0.000012219828,"threshold_uncertainty_score":0.4342264},"labels":[],"label_agreement":null},{"id":"W4407364651","doi":"10.36227/techrxiv.173933084.45054800/v1","title":"Multi-Agent Reinforcement Learning for Resilient Channel Access in Smart Grid Networks Under Intelligent Adversarial Interference","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley; École de Technologie Supérieure","funders":"","keywords":"Reinforcement learning; Computer science; Interference (communication); Adversarial system; Computer network; Channel (broadcasting); Grid; Smart grid; Distributed computing; Computer security; Artificial intelligence; Engineering; Electrical engineering","score_opus":0.04045706619404568,"score_gpt":0.2933273454404225,"score_spread":0.25287027924637684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407364651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005498395,0.00083047664,0.9753521,0.000116004834,0.014135835,0.0019072575,0.000014188365,0.00037717939,0.0017685407],"genre_scores_gemma":[0.992448,0.002477879,0.00093946216,0.00017990847,0.0007015371,0.0006876894,0.0002528517,0.000048987637,0.0022636936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719816,0.00007798846,0.0009114433,0.00078412186,0.00027198438,0.0007562701],"domain_scores_gemma":[0.99881,0.00024411043,0.00012425956,0.0005511907,0.00011186329,0.00015858066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004940574,0.0005842114,0.0006153175,0.00044881325,0.00012359807,0.00020748525,0.0011107739,0.0005900463,0.000096180076],"category_scores_gemma":[0.00011150572,0.0005749558,0.00027058675,0.0002784155,0.000069301794,0.00015063527,0.0017308857,0.0016203938,0.000012108485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010666157,0.00006297367,0.00026431732,0.0006399059,0.00011245785,0.000004662013,0.00078259356,0.9950501,0.000013710561,0.00019197159,0.0019051001,0.00086558517],"study_design_scores_gemma":[0.00069172296,0.00006190659,0.0006337879,0.001078972,0.000040878072,9.175308e-7,0.0004003973,0.9918519,0.0011175541,0.00013111788,0.0033864279,0.0006043955],"about_ca_topic_score_codex":0.00045768803,"about_ca_topic_score_gemma":0.0013983685,"teacher_disagreement_score":0.9869496,"about_ca_system_score_codex":0.00061544613,"about_ca_system_score_gemma":0.00013852898,"threshold_uncertainty_score":0.9996702},"labels":[],"label_agreement":null},{"id":"W4407555785","doi":"10.32604/cmc.2024.054802","title":"Towards Net Zero Resilience: A Futuristic Architectural Strategy for Cyber-Attack Defence in Industrial Control Systems (ICS) and Operational Technology (OT)","year":2025,"lang":"en","type":"article","venue":"Computers, materials & continua/Computers, materials & continua (Print)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"De Montfort University; Trent University; Nottingham Trent University","keywords":"Resilience (materials science); Industrial control system; Systems engineering; Control (management); Engineering; Computer science; Architectural engineering; Artificial intelligence","score_opus":0.013243576132075552,"score_gpt":0.23901772410690778,"score_spread":0.22577414797483222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407555785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89747643,0.00094563334,0.0793341,0.0005447302,0.0167995,0.003429498,0.00059742195,0.0007465522,0.00012612503],"genre_scores_gemma":[0.9940545,0.00010198691,0.002779296,0.0002764784,0.001833309,0.0005581459,0.00017338552,0.0001003855,0.00012251356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99358016,0.0005275023,0.0023552726,0.0015114445,0.00047771452,0.0015478854],"domain_scores_gemma":[0.99743086,0.00069684227,0.00044505706,0.0008318057,0.00034128778,0.00025415275],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0015284296,0.0011376127,0.00224573,0.0009474691,0.0003455672,0.0018203858,0.0014255435,0.0009332224,0.000076337165],"category_scores_gemma":[0.00023525378,0.0011363843,0.0001701646,0.00062991754,0.000588305,0.00054350315,0.000636902,0.0005386814,0.000039749186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031076726,0.0005553661,0.0032411902,0.0038224836,0.0012663356,0.00045601052,0.002349188,0.07372792,0.8015114,0.03126831,0.041131523,0.037562564],"study_design_scores_gemma":[0.071470685,0.0037544316,0.06509287,0.01667555,0.0012733188,0.0017786506,0.0018038017,0.2416967,0.5013655,0.01017969,0.07111948,0.013789327],"about_ca_topic_score_codex":0.00038933274,"about_ca_topic_score_gemma":0.00009121986,"teacher_disagreement_score":0.30014595,"about_ca_system_score_codex":0.00028484283,"about_ca_system_score_gemma":0.00030731308,"threshold_uncertainty_score":0.99921584},"labels":[],"label_agreement":null},{"id":"W4407568139","doi":"10.1002/9781394191529.ch18","title":"Application of State Observers and Filters in Protection and Cyber‐Security of Power Grids","year":2025,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"","keywords":"State (computer science); Computer security; Computer science; Power grid; Power (physics); Physics; Algorithm","score_opus":0.003390728175291474,"score_gpt":0.18510109605342895,"score_spread":0.18171036787813746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407568139","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40330493,0.0070691807,0.025379762,0.00012112744,0.0010074745,0.0038480808,0.0003235286,0.00054100633,0.5584049],"genre_scores_gemma":[0.98707837,0.0017389127,0.0003106081,0.000007999841,0.000017791002,0.00004016623,0.000009161264,0.00005839889,0.010738595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996085,0.0000104558785,0.0001336731,0.00011880576,0.000061625906,0.000066922665],"domain_scores_gemma":[0.99981993,0.000011863482,0.000037910446,0.000103240236,0.000009878412,0.000017180006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000557214,0.000090036716,0.00016235698,0.00015489694,0.0000048108373,0.0000031690129,0.00004317848,0.000116069794,0.00003495295],"category_scores_gemma":[0.0000070474644,0.00008582807,0.000014485706,0.00011964186,0.000054718497,0.000025532285,0.000020575962,0.000097573226,4.9519775e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088367215,0.0016650136,0.15541035,0.12507571,0.00256038,0.000037666985,0.035597276,0.033879757,0.10794607,0.042012885,0.26116538,0.23376581],"study_design_scores_gemma":[0.0077772057,0.00085620926,0.29243574,0.009021618,0.0002525871,0.00002031787,0.0023275176,0.125009,0.112229384,0.008081315,0.43791595,0.004073173],"about_ca_topic_score_codex":0.0012061252,"about_ca_topic_score_gemma":0.0010352324,"teacher_disagreement_score":0.58377343,"about_ca_system_score_codex":0.000011352804,"about_ca_system_score_gemma":0.0000086984155,"threshold_uncertainty_score":0.34999672},"labels":[],"label_agreement":null},{"id":"W4407574667","doi":"10.1109/tac.2025.3542321","title":"Stealthy Attacks on Sampled-Data Control and Encryption-Based Countermeasures","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Encryption; Computer security; Computer network","score_opus":0.013130757475032725,"score_gpt":0.25049759408855254,"score_spread":0.23736683661351982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407574667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05489261,0.00027787092,0.940274,0.0010068596,0.0013298835,0.0007402677,0.00039156622,0.0006764738,0.00041044015],"genre_scores_gemma":[0.99828637,0.00004065948,0.00015088746,0.001289719,0.000040300398,0.00010970009,0.0000056284894,0.000020606143,0.00005615301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998667,0.00009737376,0.00035196118,0.00031695823,0.00026822963,0.0002984765],"domain_scores_gemma":[0.99819404,0.0009743378,0.000038132337,0.0006469645,0.000043699936,0.000102805934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002981068,0.00023993525,0.00034525254,0.0002469896,0.00023583852,0.00007983152,0.00029578398,0.00012792466,0.00009772301],"category_scores_gemma":[0.000030159163,0.00022221984,0.0000741316,0.00019775578,0.00009666554,0.00012474874,7.956954e-7,0.0002646554,0.000050119044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005085734,0.000657093,0.00031565723,0.0010896624,0.0008482675,0.000022003229,0.0004560806,0.8378571,0.005010415,0.00036400848,0.005291129,0.14757998],"study_design_scores_gemma":[0.0038133862,0.00011107575,0.0025677553,0.00023688351,0.00013729795,0.000002798567,0.00003903149,0.9908898,0.00051004393,0.000055022672,0.0014336893,0.00020323979],"about_ca_topic_score_codex":0.000033785353,"about_ca_topic_score_gemma":0.00018969731,"teacher_disagreement_score":0.9433937,"about_ca_system_score_codex":0.000090543974,"about_ca_system_score_gemma":0.00009157961,"threshold_uncertainty_score":0.90618616},"labels":[],"label_agreement":null},{"id":"W4407937985","doi":"10.5220/0013370900003899","title":"ConCERTS: An IoT Cybersecurity Research Range for Education, Experimentation, and Security Research","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer security; Computer science; Internet of Things; Range (aeronautics); Engineering","score_opus":0.07008284259569862,"score_gpt":0.4531871664589969,"score_spread":0.3831043238632983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407937985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96215105,0.0046309684,0.000796342,0.0009894163,0.00085758104,0.0012580906,0.0000167397,0.00022846523,0.029071322],"genre_scores_gemma":[0.99730206,0.0002756435,0.00076480757,0.00011645893,0.00022382739,0.0004285324,0.00001753116,0.000015387328,0.0008557458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984972,0.0001987458,0.00020428679,0.00033121652,0.00033645966,0.00043208027],"domain_scores_gemma":[0.9984217,0.00050652365,0.000008064168,0.00032138464,0.00059940416,0.00014286647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016273808,0.00010880455,0.00013379395,0.0003405541,0.00051315076,0.00013780045,0.0002538065,0.000124912,0.00009330394],"category_scores_gemma":[0.00023092635,0.00010651471,0.000022091435,0.00064586964,0.00035516048,0.0002120494,0.00007244634,0.00036195695,0.000010595175],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016863237,0.00071167847,0.00379472,0.001080785,0.00008455682,0.0000025697668,0.04107471,0.00020917223,0.013362963,0.4869878,0.4418671,0.010655306],"study_design_scores_gemma":[0.0027895914,0.0006073115,0.0086253155,0.00035023346,0.000025829955,0.000011359992,0.0762959,0.048993655,0.12655413,0.16080467,0.5740193,0.00092268304],"about_ca_topic_score_codex":0.00043403124,"about_ca_topic_score_gemma":0.00051746925,"teacher_disagreement_score":0.3261831,"about_ca_system_score_codex":0.00013083764,"about_ca_system_score_gemma":0.00023600143,"threshold_uncertainty_score":0.43435436},"labels":[],"label_agreement":null},{"id":"W4407948663","doi":"10.1109/mpe.2025.3533240","title":"High-Voltage DC and FACTSs: Trusted Grid-Enhancing Technologies [Editor’s Voice]","year":2025,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Grid; Computer science; Electrical engineering; Telecommunications; Engineering","score_opus":0.0031227535383149384,"score_gpt":0.1899210027781759,"score_spread":0.18679824923986096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407948663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90249676,0.013621596,0.026369065,0.00082007796,0.033048313,0.00014619617,0.00005225615,0.0029351322,0.020510616],"genre_scores_gemma":[0.9964631,0.001514022,0.00012601916,0.000088351626,0.00048255775,0.000014432643,0.000006010335,0.000016987262,0.001288519],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913067,0.000009719487,0.00020064131,0.00025691823,0.00010670515,0.00029537722],"domain_scores_gemma":[0.99960744,0.00007863953,0.000019117651,0.0002117897,0.000028410723,0.0000546171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065520166,0.00020776532,0.00023879274,0.00018668517,0.0001084416,0.000061696046,0.00013339489,0.00019340665,0.0000145103195],"category_scores_gemma":[0.000039112947,0.0001836195,0.00002988199,0.00026534154,0.00013156394,0.0001650442,0.00006591343,0.00019489479,0.000011506482],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116708754,0.00015619073,0.0011842576,0.0009669431,0.00045450218,0.00016576573,0.0015366487,0.017853288,0.56824124,0.015720386,0.3443694,0.04923465],"study_design_scores_gemma":[0.001239812,0.00013421122,0.00598541,0.00030050764,0.00006889871,0.00003078919,0.0007240567,0.0057561393,0.21665052,0.002084791,0.76620185,0.0008229973],"about_ca_topic_score_codex":0.0000579611,"about_ca_topic_score_gemma":0.0002221052,"teacher_disagreement_score":0.42183244,"about_ca_system_score_codex":0.000023442475,"about_ca_system_score_gemma":0.000010946105,"threshold_uncertainty_score":0.7487786},"labels":[],"label_agreement":null},{"id":"W4407949322","doi":"10.1109/cdc56724.2024.10886537","title":"Optimal Linear Deception Attacks on Remote State Estimation with Constrained Alarm Rates: A Low-Dimensional Case","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Deception; Computer science; Constant false alarm rate; Estimation; State (computer science); ALARM; False alarm; Computer security; Algorithm; Artificial intelligence; Engineering; Psychology; Social psychology","score_opus":0.008073811896354229,"score_gpt":0.2497351451604154,"score_spread":0.24166133326406117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407949322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8352016,0.000079774305,0.16284305,0.00011248475,0.0003116479,0.00016367888,0.000017021544,0.00053663546,0.00073408673],"genre_scores_gemma":[0.9723233,0.000018845865,0.027213935,0.00006573205,0.00007054975,0.0000039819734,0.000033250268,0.000026218057,0.0002442037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992396,0.000015732294,0.00016075715,0.00020921747,0.00017685514,0.00019783195],"domain_scores_gemma":[0.99965185,0.00009501888,0.000010526677,0.000120150726,0.000035653105,0.00008679135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011170892,0.00015597827,0.00010720374,0.00009950379,0.00007035595,0.00006341485,0.000041996354,0.000062190295,0.00016804229],"category_scores_gemma":[0.000013689832,0.00011735927,0.0000346058,0.00019802155,0.00006854787,0.0001697906,0.000010672177,0.00020870834,0.00025562677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037722784,0.000015042383,0.0000034222103,0.00009993596,0.00003158577,0.0014144639,0.00035998123,0.990803,0.0012746648,0.00010171186,0.0007130744,0.00514539],"study_design_scores_gemma":[0.00024681806,0.00012807462,0.00002531345,0.00022416202,0.0000128708325,0.0012499457,0.00006858214,0.9899209,0.0076361774,0.000037230253,0.0002763586,0.00017356274],"about_ca_topic_score_codex":0.00002496837,"about_ca_topic_score_gemma":0.00004624256,"teacher_disagreement_score":0.13712166,"about_ca_system_score_codex":0.000050087532,"about_ca_system_score_gemma":0.00004219651,"threshold_uncertainty_score":0.4785772},"labels":[],"label_agreement":null},{"id":"W4407949981","doi":"10.1109/cdc56724.2024.10886581","title":"Event-Triggered Resilient Control Design in Cyber-Physical Systems Subject to Covert Attacks","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Event (particle physics); Computer security; Covert; Cyber-physical system; Subject (documents); Control (management); Operating system; Artificial intelligence","score_opus":0.009662801127618713,"score_gpt":0.2440366129887191,"score_spread":0.23437381186110037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407949981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7400379,0.0035928297,0.24310306,0.00035225507,0.0037906617,0.0015791623,0.000029962872,0.0011366355,0.0063775317],"genre_scores_gemma":[0.9988286,0.00003421452,0.00007055295,0.00006806806,0.00026873397,0.000088904904,0.0000019685838,0.000029366322,0.0006096166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987376,0.00008728256,0.00025367856,0.00028678356,0.00025558227,0.00037907122],"domain_scores_gemma":[0.9992615,0.0003526785,0.0000069505863,0.0002211765,0.000019368461,0.00013830722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028978367,0.00018387176,0.0002693856,0.00017845622,0.000031204523,0.0001175694,0.0001767906,0.000086688,0.000026674461],"category_scores_gemma":[0.0000409486,0.00015172712,0.000079623285,0.00048489642,0.000020377498,0.0001278501,0.000021823063,0.0002256399,0.0005682597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053379372,0.000060123646,0.0002599586,0.00019341773,0.000055632023,0.00015146824,0.0010057016,0.95351624,0.011752513,0.0029073183,0.029412525,0.0006317104],"study_design_scores_gemma":[0.00045992332,0.00012227718,0.001002241,0.00027280967,0.000017284105,0.000013826293,0.00015537882,0.97974914,0.0064855516,0.0001159087,0.01126122,0.00034446537],"about_ca_topic_score_codex":0.00011594047,"about_ca_topic_score_gemma":0.0000652573,"teacher_disagreement_score":0.25879067,"about_ca_system_score_codex":0.00016452912,"about_ca_system_score_gemma":0.00004434512,"threshold_uncertainty_score":0.7304018},"labels":[],"label_agreement":null},{"id":"W4407950155","doi":"10.1109/cdc56724.2024.10886482","title":"Cyber-Attack Detection and Isolation of Nonlinear Cyber-Physical Systems: An Auxiliary Filter Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Isolation (microbiology); Computer science; Nonlinear system; Filter (signal processing); Filtering theory; Computer security; Artificial intelligence; Physics; Computer vision; Operating system","score_opus":0.012938462652726343,"score_gpt":0.23548855337545951,"score_spread":0.22255009072273318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407950155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9526503,0.00048275985,0.042165022,0.000008266867,0.0004901198,0.00013977486,0.0000088913985,0.00029782244,0.0037570107],"genre_scores_gemma":[0.9985828,0.00002956952,0.0008761861,0.0000039835368,0.00035025427,0.000009568763,0.000009165787,0.00001660648,0.00012185755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994474,0.00002198953,0.00013850958,0.00016683582,0.000112003814,0.00011324189],"domain_scores_gemma":[0.99975693,0.00003968654,0.000008825344,0.00012584573,0.000018733912,0.000049951534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008289166,0.00009800641,0.00012191519,0.0000735668,0.000030114708,0.00004971905,0.00005061795,0.00007633444,0.000006422267],"category_scores_gemma":[0.000005059027,0.000080933154,0.00003288768,0.00015482216,0.0000363163,0.00029153496,0.000015638017,0.0001333502,0.000014154208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007805304,0.00058423425,0.0013865835,0.007414942,0.0003751793,0.000029191366,0.015029475,0.53391546,0.40310583,0.0071836775,0.0019564934,0.028940871],"study_design_scores_gemma":[0.00005936813,0.000050113118,0.00070592755,0.00003758551,0.000014463768,0.000018075543,0.00021048689,0.9920377,0.0058254767,0.000023321956,0.00091473793,0.00010270893],"about_ca_topic_score_codex":0.0000455111,"about_ca_topic_score_gemma":0.000016840595,"teacher_disagreement_score":0.45812225,"about_ca_system_score_codex":0.00001831196,"about_ca_system_score_gemma":0.000006893365,"threshold_uncertainty_score":0.33003584},"labels":[],"label_agreement":null},{"id":"W4408281411","doi":"10.1109/iecon55916.2024.10905813","title":"A Reinforcement Learning-Based Approach for Early Prediction of Industrial Alarm Floods","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); Suncor Energy (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; ALARM; Artificial intelligence; Engineering","score_opus":0.022352320357748926,"score_gpt":0.21579249664525613,"score_spread":0.1934401762875072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096423864,0.00019573666,0.89424026,0.00002479926,0.0010127748,0.00045239742,0.000012073721,0.000563512,0.007074575],"genre_scores_gemma":[0.9986055,0.0000074318746,0.00067518116,0.0000048383476,0.00026282298,0.000050831826,0.000033981545,0.000012744725,0.00034667508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949074,0.000007554129,0.00015574066,0.00010143308,0.00012091565,0.0001236455],"domain_scores_gemma":[0.99983007,0.000039859828,0.000008572986,0.0000717469,0.000016920285,0.00003285187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407561,0.00007115641,0.00008391228,0.00007774547,0.000027342974,0.000023916135,0.000058355698,0.00009749159,0.00003658474],"category_scores_gemma":[0.000021050364,0.000061042636,0.00006108424,0.00014710787,0.000020123418,0.00007085945,0.000007609064,0.00015626734,0.000003559023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001774495,0.0000121219,0.00035686488,0.00018828736,0.0000365364,3.9146983e-7,0.00025300687,0.99470764,0.00081051036,0.0004373539,0.0021246683,0.0010548943],"study_design_scores_gemma":[0.00035425456,0.00017785792,0.00006723202,0.000039127557,0.000018714347,6.0173824e-7,0.000046372996,0.9768658,0.013604944,0.000010397505,0.008754993,0.000059703994],"about_ca_topic_score_codex":0.000014116728,"about_ca_topic_score_gemma":7.236501e-7,"teacher_disagreement_score":0.9021816,"about_ca_system_score_codex":0.000023938066,"about_ca_system_score_gemma":0.000025980184,"threshold_uncertainty_score":0.24892464},"labels":[],"label_agreement":null},{"id":"W4408281964","doi":"10.1109/iecon55916.2024.10906019","title":"Mitigating False Data Injection Attacks in DC Microgrids with Multiple Interlinking Converters","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Computer science; Data retention; Computer security; Electrical engineering; Voltage; Engineering","score_opus":0.014760095673596608,"score_gpt":0.23758655227226744,"score_spread":0.22282645659867084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97669697,0.00074377435,0.02005671,0.000070050795,0.0009196866,0.00012451968,0.000011170314,0.0005421666,0.0008349776],"genre_scores_gemma":[0.9984538,0.000038921327,0.0012449261,0.000047068308,0.00010925041,0.000006424517,0.000038370577,0.000021940163,0.000039318675],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992844,0.000013341864,0.00016332162,0.0002472017,0.00009366276,0.00019809188],"domain_scores_gemma":[0.9996122,0.00009329468,0.0000072465887,0.00024078469,0.000009119954,0.00003733227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014077376,0.00011285834,0.00010163667,0.000114643764,0.000032093863,0.00010463786,0.00020783424,0.000058701004,0.000022370301],"category_scores_gemma":[0.00001685076,0.000092327944,0.000016821734,0.000275466,0.000041578776,0.00039357127,0.00007350423,0.0002689047,0.000032842647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012116073,0.00019697688,0.36360544,0.0038336876,0.00055438164,0.0009167374,0.034999292,0.1898864,0.15111749,0.0008279686,0.016924642,0.23701584],"study_design_scores_gemma":[0.00022819545,0.000033788714,0.0019235737,0.00051410875,0.000008197442,0.000059985785,0.0011368785,0.9837508,0.008586727,0.000016165008,0.0035433336,0.00019824857],"about_ca_topic_score_codex":0.00017129027,"about_ca_topic_score_gemma":0.0018636312,"teacher_disagreement_score":0.79386437,"about_ca_system_score_codex":0.0000483933,"about_ca_system_score_gemma":0.000015289837,"threshold_uncertainty_score":0.37650242},"labels":[],"label_agreement":null},{"id":"W4408324960","doi":"10.1109/globecom52923.2024.10901455","title":"Microservices for Reliable Safety-Critical Cellular IoT Systems – A Case Study","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Ericsson (Canada)","funders":"","keywords":"Microservices; Computer science; Internet of Things; Computer security; Cloud computing; Operating system","score_opus":0.010469259890668733,"score_gpt":0.2543343777499868,"score_spread":0.24386511785931805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408324960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96933323,0.010007341,0.012547809,0.00011896938,0.0042390567,0.00080293126,0.00003277821,0.0009297732,0.0019881276],"genre_scores_gemma":[0.99854904,0.000011108452,0.00035204517,0.000018979244,0.0003107466,0.00006882784,0.0000022094164,0.00002836708,0.00065869704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992176,0.00001275069,0.00020366524,0.00020966346,0.000100347206,0.00025595466],"domain_scores_gemma":[0.9994897,0.00022018363,0.0000032039475,0.00017836838,0.000030986605,0.00007753013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020950902,0.000120838646,0.00014512092,0.000059367438,0.000110019595,0.00016755702,0.0001044754,0.00006590011,0.00003800963],"category_scores_gemma":[0.000012485495,0.000099568744,0.000051145897,0.00016345002,0.000021408085,0.000057091365,0.000025198124,0.00011864587,0.000084391504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017653708,0.0017975982,0.001890752,0.046267666,0.001384939,0.06943991,0.041834548,0.5645874,0.08837282,0.08445544,0.09689205,0.0029003054],"study_design_scores_gemma":[0.0002504046,0.0001489364,0.0000069523303,0.00014362388,0.00006478422,0.0010077715,0.010852602,0.90602505,0.0027241085,0.00006403098,0.07842737,0.00028433613],"about_ca_topic_score_codex":0.0003826804,"about_ca_topic_score_gemma":0.00015801862,"teacher_disagreement_score":0.34143767,"about_ca_system_score_codex":0.000032078708,"about_ca_system_score_gemma":0.0000146959255,"threshold_uncertainty_score":0.40602955},"labels":[],"label_agreement":null},{"id":"W4408433805","doi":"10.1093/ijlct/ctae224","title":"Empowering smart city through smart grid communication and measurement technology","year":2024,"lang":"en","type":"article","venue":"International Journal of Low-Carbon Technologies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Smart grid; Smart city; Information and Communications Technology; Computer science; Telecommunications; Internet of Things; Architectural engineering; Electrical engineering; Engineering; Embedded system; World Wide Web","score_opus":0.016440033133632286,"score_gpt":0.2662935654852325,"score_spread":0.24985353235160018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408433805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473779,0.03563504,0.002953575,0.0068500736,0.0037325392,0.000109888926,0.000006398783,0.0013031773,0.0020313822],"genre_scores_gemma":[0.990772,0.0075586666,0.0015285659,0.000016310145,0.00009322686,0.000007618638,9.5114984e-7,0.000015872205,0.0000067631922],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998803,0.000014236035,0.0004032351,0.00013307629,0.00048349507,0.00016295981],"domain_scores_gemma":[0.99936664,0.00006170147,0.00007954764,0.00021385399,0.00025791928,0.000020328107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036525217,0.00014867385,0.00018866021,0.00050503924,0.000041277257,0.000108778884,0.0007264832,0.00019322523,0.0000068264385],"category_scores_gemma":[0.00022911228,0.00012905286,0.00006787134,0.000276595,0.00024112417,0.00030381177,0.00020962786,0.00062861363,0.000003250888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033822542,0.00065657805,0.0682797,0.0014752689,0.0058521647,0.0022371337,0.007195665,0.009663816,0.3414949,0.07005696,0.0136969285,0.47905266],"study_design_scores_gemma":[0.0019123541,0.0005475015,0.009647886,0.0074350117,0.00018522228,0.0030384883,0.0072644097,0.038153756,0.6463828,0.12039938,0.16351424,0.0015189495],"about_ca_topic_score_codex":0.0000113791475,"about_ca_topic_score_gemma":0.000022880444,"teacher_disagreement_score":0.47753373,"about_ca_system_score_codex":0.00019942336,"about_ca_system_score_gemma":0.000036357585,"threshold_uncertainty_score":0.5262623},"labels":[],"label_agreement":null},{"id":"W4408636306","doi":"10.3389/fenrg.2025.1531655","title":"Exploring the emerging role of large language models in smart grid cybersecurity: a survey of attacks, detection mechanisms, and mitigation strategies","year":2025,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Toronto Metropolitan University","keywords":"Computer security; Computer science; Smart grid; Grid; Engineering; Geography; Electrical engineering","score_opus":0.028228128656844938,"score_gpt":0.2829601072031305,"score_spread":0.25473197854628554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408636306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659359,0.0038196323,0.029061154,0.000017747618,0.0004064937,0.000102625316,0.000013402905,0.000019675237,0.00062340155],"genre_scores_gemma":[0.9979067,0.0017449876,0.00025192936,0.0000022401318,0.000014690765,0.00004972788,0.000008514108,0.0000092521295,0.000011972841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987993,0.00028546952,0.00023166246,0.00015293088,0.00025329116,0.00027735042],"domain_scores_gemma":[0.99958265,0.00013372127,0.000019948691,0.00017083579,0.00006953291,0.000023336666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015034729,0.000081555845,0.00017500743,0.00054751674,0.000061896346,0.000020697957,0.0001696893,0.00006527359,0.0000013234629],"category_scores_gemma":[0.00007696559,0.000074602285,0.00002055172,0.0009881684,0.00009157943,0.00031484998,0.00007874312,0.0002894523,7.742627e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031508078,0.00022042295,0.03482538,0.00095270143,0.00017931461,0.00002116197,0.040899407,0.7407933,0.0642005,0.061934717,0.00048803483,0.055170003],"study_design_scores_gemma":[0.00041812428,0.00003373721,0.039111234,0.00022505224,0.0000040428476,6.7934394e-7,0.034828827,0.81878966,0.092130244,0.014178928,0.00015513295,0.00012431321],"about_ca_topic_score_codex":0.0050817695,"about_ca_topic_score_gemma":0.018660469,"teacher_disagreement_score":0.07799641,"about_ca_system_score_codex":0.00006177067,"about_ca_system_score_gemma":0.000045286564,"threshold_uncertainty_score":0.9992464},"labels":[],"label_agreement":null},{"id":"W4408779954","doi":"10.1109/tpwrd.2025.3554362","title":"Faulty Feeder Detection for Distribution Networks With IIDGs Based on Path Graph and Graph Fourier Transform","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Graph; Computer science; Fourier transform; Path (computing); Algorithm; Mathematics; Theoretical computer science; Computer network; Mathematical analysis","score_opus":0.0035635843558652204,"score_gpt":0.18419532740171032,"score_spread":0.18063174304584512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408779954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10371959,0.000105377316,0.89417714,0.00009324108,0.00093460496,0.00043320248,0.00013749348,0.00021318636,0.00018617861],"genre_scores_gemma":[0.99913526,0.00023267584,0.00024208236,0.00014719465,0.00002036825,0.00013826361,0.00001864089,0.000022184147,0.000043332864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910265,0.000019281968,0.000176183,0.00027060628,0.0001533628,0.00027789694],"domain_scores_gemma":[0.99953085,0.00012447045,0.000017712495,0.00018740368,0.00006159414,0.00007798492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009571846,0.00022197426,0.00016631477,0.0001887544,0.00034289408,0.000046945963,0.000070714676,0.00017801554,0.000011769998],"category_scores_gemma":[0.0000015167873,0.00019637386,0.00013019115,0.00042350774,0.000082416336,0.00016083062,3.1982603e-7,0.0003092332,0.000001564457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079058163,0.00016683352,0.000028162583,0.00010073624,0.00012496172,0.000003959817,0.000128885,0.9717488,0.00054765993,0.000045344186,0.0005089494,0.025805114],"study_design_scores_gemma":[0.00265103,0.00087741984,0.0016204999,0.0003035794,0.00022121955,0.000009247738,0.00017427701,0.9554349,0.03442796,0.00017872258,0.0035355056,0.00056564284],"about_ca_topic_score_codex":0.00002416879,"about_ca_topic_score_gemma":0.00020215062,"teacher_disagreement_score":0.89541566,"about_ca_system_score_codex":0.00007080033,"about_ca_system_score_gemma":0.000020366642,"threshold_uncertainty_score":0.80078936},"labels":[],"label_agreement":null},{"id":"W4408859243","doi":"10.1109/jiot.2025.3555195","title":"Federated Multiagent Reinforcement Learning for Resource Allocation in NR-V2X Mode 2","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Reinforcement learning; Computer science; Resource allocation; Resource management (computing); Mode (computer interface); Resource (disambiguation); Distributed computing; Computer network; Artificial intelligence; Human–computer interaction","score_opus":0.009866036981633014,"score_gpt":0.2517374026633403,"score_spread":0.2418713656817073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408859243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6031672,0.00025403386,0.39362705,0.00017685354,0.0008619893,0.00015602435,2.4655915e-7,0.000047169302,0.0017094199],"genre_scores_gemma":[0.9980614,0.00007237263,0.0005710401,0.00010046112,0.000065463886,0.000008656272,0.0000028290183,0.000010788368,0.0011069914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991248,0.000027802693,0.00041822452,0.00009527953,0.00014542049,0.00018845004],"domain_scores_gemma":[0.9996736,0.000070302434,0.00008743346,0.000053892134,0.00007418739,0.00004058869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000359614,0.000102006,0.00015466748,0.00020285694,0.000057263416,0.00006641825,0.0001587087,0.00007638849,0.000014851615],"category_scores_gemma":[0.00010050207,0.000097887445,0.00007353089,0.00010985925,0.000021637185,0.00018158514,0.000020248575,0.00041997817,0.000002400598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000802006,0.000021552134,0.00039051884,0.00011159503,0.00005537626,0.000003437568,0.0032606272,0.9715906,0.017446673,0.00010335883,0.004270104,0.0026659763],"study_design_scores_gemma":[0.00055554445,0.00005780834,0.00017412416,0.00047901872,0.000009599657,0.000011762127,0.0002604444,0.9063345,0.0856829,0.000094600764,0.006251041,0.000088658184],"about_ca_topic_score_codex":0.00007126866,"about_ca_topic_score_gemma":0.000019041494,"teacher_disagreement_score":0.39489418,"about_ca_system_score_codex":0.00014445376,"about_ca_system_score_gemma":0.00002584078,"threshold_uncertainty_score":0.3991734},"labels":[],"label_agreement":null},{"id":"W4408865387","doi":"10.1109/oncon62778.2024.10931321","title":"Support Vector Machine-Based False Data Injection Attacks Detection in Interconnected DC Microgrids","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Support vector machine; Computer science; Artificial intelligence","score_opus":0.015773746146813313,"score_gpt":0.2519695809825445,"score_spread":0.2361958348357312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408865387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9531914,0.0007615717,0.03986648,0.00012552954,0.003445097,0.00021936327,0.00006709622,0.0013790862,0.0009443861],"genre_scores_gemma":[0.9993347,0.00003695024,0.00015772239,0.00004672072,0.00016646477,0.000013054351,0.00014043874,0.000027537651,0.000076439894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912375,0.000028642049,0.0002210311,0.00030445904,0.00010663669,0.00021547097],"domain_scores_gemma":[0.9995039,0.00007188485,0.000007972026,0.00035113987,0.000013876705,0.0000512072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019789593,0.00014324422,0.000119744676,0.0002646945,0.00003155424,0.00009083564,0.00022752622,0.000113682574,0.00025425872],"category_scores_gemma":[0.000036972328,0.00013120317,0.000036687365,0.0005127888,0.000025723088,0.00032952806,0.000057199795,0.00032473705,0.00015437341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022195512,0.0003641247,0.010908094,0.0021764487,0.00025338127,0.00049496983,0.0024410912,0.07269229,0.67802286,0.00028799736,0.022997245,0.20913951],"study_design_scores_gemma":[0.000269508,0.00009334944,0.00439351,0.000088180976,0.000014903245,0.000050245784,0.00007661215,0.87103516,0.105018444,0.000020150383,0.018682888,0.00025704285],"about_ca_topic_score_codex":0.00026630075,"about_ca_topic_score_gemma":0.005380817,"teacher_disagreement_score":0.7983429,"about_ca_system_score_codex":0.000101410624,"about_ca_system_score_gemma":0.00003053072,"threshold_uncertainty_score":0.535031},"labels":[],"label_agreement":null},{"id":"W4408865673","doi":"10.1109/oncon62778.2024.10931258","title":"Optimal Redundant Transmission-Based Defense Against Reverse Attacks with a Game Theory Perspective","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Game theory; Perspective (graphical); Computer science; Transmission (telecommunications); Computer security; Mathematical economics; Telecommunications; Mathematics; Artificial intelligence","score_opus":0.005182840852198653,"score_gpt":0.21374655296412187,"score_spread":0.2085637121119232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408865673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48248172,0.005297781,0.40631047,0.0011665939,0.00077361276,0.0005656464,0.00003060911,0.0027940325,0.10057952],"genre_scores_gemma":[0.9946705,0.00011928141,0.004110318,0.00016212993,0.000095858835,0.00001569979,0.000003886325,0.00004143535,0.00078090036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991468,0.0000332545,0.00011891279,0.00026519352,0.00017773356,0.0002580637],"domain_scores_gemma":[0.999517,0.0001356264,0.0000060432303,0.00018069409,0.000036451504,0.00012418788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014787777,0.00017894703,0.0001369009,0.00010247993,0.000057082547,0.00006439473,0.00011473014,0.00007808032,0.0002411013],"category_scores_gemma":[0.000011994076,0.00012252283,0.000089076755,0.0002673258,0.00011721224,0.00011562603,0.0000076643,0.00028717582,0.000091394024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000342699,0.0000989912,0.000027810449,0.0004505434,0.00023609166,0.0011254387,0.013956539,0.9359484,0.007983445,0.025951855,0.007698478,0.0061797653],"study_design_scores_gemma":[0.0006574193,0.00019990595,0.000090193105,0.000707391,0.00007549513,0.00007043112,0.00520797,0.93074614,0.015612898,0.000527296,0.045457598,0.0006472434],"about_ca_topic_score_codex":0.000011738898,"about_ca_topic_score_gemma":0.000008158157,"teacher_disagreement_score":0.5121888,"about_ca_system_score_codex":0.000102940976,"about_ca_system_score_gemma":0.000093214185,"threshold_uncertainty_score":0.4996336},"labels":[],"label_agreement":null},{"id":"W4408897854","doi":"10.1109/rams48127.2025.10935251","title":"Fault Tree Analysis and Risk Importance Measures Applied to Electric Grids","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Fault tree analysis; Computer science; Tree (set theory); Reliability engineering; Risk analysis (engineering); Data mining; Engineering; Mathematics; Business","score_opus":0.003224508795909087,"score_gpt":0.19618087133942944,"score_spread":0.19295636254352036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408897854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8963715,0.0009830986,0.06741838,0.00007120647,0.00008674004,0.00013491864,0.0000025353916,0.00025276584,0.034678888],"genre_scores_gemma":[0.9983314,0.0005629877,0.0006105699,0.00011423691,0.000030474752,0.00001865959,0.000001575972,0.000005499186,0.0003245624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993618,0.000008622325,0.00014286913,0.00018677949,0.00011189059,0.00018805021],"domain_scores_gemma":[0.9996715,0.00004466948,0.0000104155115,0.00018721638,0.000018088522,0.00006811786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163596,0.0001046995,0.00017902422,0.00032055442,0.00006608553,0.000030907948,0.00011077804,0.00005541625,0.000021120099],"category_scores_gemma":[0.000027190381,0.000089039204,0.00004864354,0.0017974343,0.00001264947,0.000031842847,0.00001859861,0.00011449286,0.000011541149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058252455,0.000063079206,0.6996338,0.00010813809,0.0024580655,0.000008952705,0.0008083609,0.13966137,0.03191501,0.005765549,0.02150891,0.09801051],"study_design_scores_gemma":[0.0003524066,0.000026117894,0.87999016,0.000008590544,0.00066542265,0.0000010388305,0.00013422203,0.06214642,0.043953445,0.0006382669,0.011673847,0.00041008106],"about_ca_topic_score_codex":0.00007227651,"about_ca_topic_score_gemma":0.002027133,"teacher_disagreement_score":0.18035635,"about_ca_system_score_codex":0.000024063693,"about_ca_system_score_gemma":0.000009356513,"threshold_uncertainty_score":0.36309135},"labels":[],"label_agreement":null},{"id":"W4409171446","doi":"10.14569/ijacsa.2025.0160389","title":"Performance Evaluation of Machine Learning-Based Cyber Attack Detection in Electric Vehicles Charging Stations","year":2025,"lang":"en","type":"article","venue":"International Journal of Advanced Computer Science and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; Artificial intelligence; Real-time computing; Machine learning","score_opus":0.008866415330195481,"score_gpt":0.27872965163684454,"score_spread":0.26986323630664905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409171446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8049697,0.00026143884,0.19425738,0.00011458846,0.00018283325,0.000102735066,0.0000011159443,0.000010976072,0.000099202545],"genre_scores_gemma":[0.9980203,0.0001885725,0.0016910544,0.00002898506,0.000047920337,0.000017255563,0.0000011268556,0.0000024739493,0.000002347742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990965,0.000014850399,0.0002570335,0.000093364884,0.00045260656,0.00008562084],"domain_scores_gemma":[0.9989381,0.00006621864,0.00009796651,0.000059686055,0.0008126144,0.000025418896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058922975,0.00005412558,0.0000778765,0.00055167,0.00007977209,0.000030699495,0.00024360968,0.00001758033,0.0000016819527],"category_scores_gemma":[0.00003811581,0.000052158262,0.000019324149,0.00075805647,0.00007259926,0.0003588007,0.000020404083,0.00013939869,6.0652627e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005538167,0.000021947484,0.001298573,0.000006591247,0.0000057555826,1.5425427e-7,0.00006511774,0.7111206,0.019987758,0.00009075868,0.0000022764068,0.2673949],"study_design_scores_gemma":[0.0003768032,0.000029219818,0.03630514,0.00006120106,0.0000070250935,0.0000053252747,0.000018019353,0.92444766,0.03786342,0.00017200234,0.00067009666,0.000044108572],"about_ca_topic_score_codex":0.000002543022,"about_ca_topic_score_gemma":0.0000110786195,"teacher_disagreement_score":0.2673508,"about_ca_system_score_codex":0.00013993232,"about_ca_system_score_gemma":0.00013927727,"threshold_uncertainty_score":0.21269523},"labels":[],"label_agreement":null},{"id":"W4409293564","doi":"10.1049/tje2.70072","title":"Cyberattack Detection and Mitigation on Central Volt‐VAr Using Circuit Law and Machine Learning","year":2025,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Manitoba Hydro; U.S. Department of Energy; National Science Foundation; Commonwealth Cyber Initiative","keywords":"Volt; Computer science; Law; Reliability engineering; Electrical engineering; Engineering; Voltage; Political science","score_opus":0.007380385057019307,"score_gpt":0.1946330898501905,"score_spread":0.18725270479317122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409293564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521211,0.0017808108,0.04537279,0.000023530212,0.00044365678,0.000039731625,5.035823e-7,0.0000310389,0.00018686231],"genre_scores_gemma":[0.9994095,0.00031492958,0.00012498113,0.00002115529,0.00011389026,2.367941e-7,1.4858769e-7,0.000009381253,0.0000057772845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995774,0.000019131621,0.00015281684,0.000042696527,0.00008236373,0.00012561365],"domain_scores_gemma":[0.9997751,0.00008994063,0.00003021708,0.000045159828,0.000018971758,0.000040598938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020392187,0.000083655155,0.00010216163,0.00008764974,0.00009760579,0.000033000575,0.00005016766,0.000039394006,0.0000016252995],"category_scores_gemma":[0.00003384252,0.00006582175,0.000021486114,0.00009811281,0.00002242114,0.00012427168,0.000011803549,0.00034839584,2.3210717e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009305531,0.00000304035,0.00025051463,0.00005721138,0.00003231326,0.000003041614,0.00038390103,0.88923645,0.108665794,0.00049502717,0.0000028221725,0.00086059247],"study_design_scores_gemma":[0.0002890044,0.00005421592,0.006689892,0.00026775696,0.000048750302,0.00014854799,0.00007433753,0.9541589,0.037022464,0.00008137621,0.0010615167,0.0001032359],"about_ca_topic_score_codex":0.00001274828,"about_ca_topic_score_gemma":0.0000088789975,"teacher_disagreement_score":0.07164333,"about_ca_system_score_codex":0.000042879183,"about_ca_system_score_gemma":0.0000049207197,"threshold_uncertainty_score":0.26841328},"labels":[],"label_agreement":null},{"id":"W4409602057","doi":"10.61091/jcmcc127b-069","title":"Research on Secure Communication Mechanisms in Wireless Sensor Networks for Industrial Control Systems","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Wireless; Computer network; Computer science; Control (management); Key distribution in wireless sensor networks; Telecommunications; Computer security; Wireless network; Artificial intelligence","score_opus":0.024580343007856484,"score_gpt":0.2847333217338987,"score_spread":0.2601529787260422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409602057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8749425,0.0011433433,0.08049253,0.00022480576,0.040635247,0.0014964447,0.0000064462542,0.000079440106,0.0009792936],"genre_scores_gemma":[0.9984279,0.000094463416,0.00041593102,0.0000111309855,0.0010066103,0.000012490987,0.0000014460819,0.00002617617,0.0000038527673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769616,0.00027894994,0.0009890302,0.0001565084,0.00048569802,0.00039362494],"domain_scores_gemma":[0.9960078,0.0028749907,0.00027338194,0.00025464225,0.0004876248,0.00010154613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040007345,0.00021493128,0.00068568526,0.00043876286,0.00028611338,0.0002279572,0.00045475177,0.00036492443,6.9656465e-7],"category_scores_gemma":[0.00032793582,0.00019890352,0.00010546137,0.00055374665,0.00007820272,0.000107263906,0.00008418589,0.001226759,4.6880558e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020941332,0.00024276249,0.0000393561,0.00026407794,0.000086319,0.0000069434564,0.0003525984,0.044684406,0.00018755085,0.9528136,0.0007245891,0.0003883413],"study_design_scores_gemma":[0.010481795,0.00065721787,0.000031106178,0.0023493734,0.000055517048,0.000017124734,0.0014462261,0.72125787,0.00046232878,0.26232263,0.0006473397,0.000271464],"about_ca_topic_score_codex":0.000009322545,"about_ca_topic_score_gemma":0.0000010859355,"teacher_disagreement_score":0.690491,"about_ca_system_score_codex":0.00018583899,"about_ca_system_score_gemma":0.0000999153,"threshold_uncertainty_score":0.811105},"labels":[],"label_agreement":null},{"id":"W4409651746","doi":"10.1049/enc2.70006","title":"Multi‐phase microgrid resiliency assessment framework against extreme weather events","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Economics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Extreme weather; Phase (matter); Environmental science; Computer science; Climate change; Geology; Artificial intelligence; Chemistry; Oceanography; Control (management)","score_opus":0.009585628245418766,"score_gpt":0.23399580513730994,"score_spread":0.2244101768918912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409651746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766974,0.0014188837,0.015906176,0.00020420861,0.0019361201,0.0000713678,0.000011003671,0.000121483215,0.0036333718],"genre_scores_gemma":[0.98550963,0.009265792,0.0034087969,0.0006601014,0.00008208756,0.000009089739,0.00001761066,0.000017243236,0.001029659],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993272,0.000017112056,0.00019179004,0.00022644007,0.000032481694,0.00020496933],"domain_scores_gemma":[0.99962306,0.000050421175,0.000025874131,0.000200601,0.000011761333,0.00008830348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007883254,0.00014624241,0.00016480849,0.00010361835,0.00011944968,0.00003147126,0.0001406556,0.00014036638,0.000078316196],"category_scores_gemma":[0.0000074489585,0.00015300144,0.000055967335,0.00007569128,0.000044927783,0.000114725925,0.000068270005,0.00014272518,0.000015366388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049991877,0.0025196392,0.079299785,0.0010862276,0.0015238329,0.00012278471,0.004092019,0.20713195,0.039482374,0.13621312,0.057861444,0.4701669],"study_design_scores_gemma":[0.0024234806,0.00004906879,0.0033373877,0.00015340238,0.000027811855,0.0000031227178,0.0005384456,0.5533743,0.006806667,0.0009521384,0.4318383,0.00049588666],"about_ca_topic_score_codex":0.000016135222,"about_ca_topic_score_gemma":0.00001902432,"teacher_disagreement_score":0.469671,"about_ca_system_score_codex":0.00008610001,"about_ca_system_score_gemma":0.000031215157,"threshold_uncertainty_score":0.6239218},"labels":[],"label_agreement":null},{"id":"W4409723929","doi":"10.1109/tce.2025.3563674","title":"Neural Fictitious-Self Play-Based Cyber-Layer Defense for Frequency Control in Microgrids Against FDI Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Beijing Municipal Natural Science Foundation; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Layer (electronics); Artificial neural network; Control (management); Computer science; Defense industry; Physical layer; Computer security; Control theory (sociology); Engineering; Artificial intelligence; Telecommunications; Wireless; Aeronautics; Materials science","score_opus":0.00665087895592941,"score_gpt":0.22773260170298523,"score_spread":0.22108172274705581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409723929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47509813,0.005490941,0.51365364,0.00048429312,0.0021720426,0.001352652,0.0002657885,0.0007820323,0.00070047093],"genre_scores_gemma":[0.9975847,0.00065910764,0.00051554793,0.00076805666,0.00002998115,0.00032561104,0.0000127153135,0.000044925677,0.000059339018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983419,0.000056419824,0.00039446575,0.0003558414,0.0001424002,0.0007089596],"domain_scores_gemma":[0.99908596,0.00039282214,0.000031503583,0.0003321575,0.00007300212,0.00008454087],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014906391,0.00030836143,0.00031647284,0.00034171017,0.00021323547,0.00005182835,0.00022273179,0.00024706306,0.00002230195],"category_scores_gemma":[0.0000074404365,0.00033559484,0.00021204374,0.00046620003,0.00007526716,0.00011863369,5.845881e-7,0.00071097055,0.000021868527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041646778,0.00092723075,0.0010089378,0.00038034783,0.0006155627,0.000034722154,0.00046783127,0.91574377,0.051758453,0.00059028936,0.002381592,0.025674773],"study_design_scores_gemma":[0.0092019765,0.00039643596,0.00042991628,0.00020344443,0.0003591589,0.000014471701,0.00005221861,0.84441006,0.10637858,0.0003044168,0.037096765,0.0011525645],"about_ca_topic_score_codex":0.000027089132,"about_ca_topic_score_gemma":0.0013482871,"teacher_disagreement_score":0.52248657,"about_ca_system_score_codex":0.00035059423,"about_ca_system_score_gemma":0.00025796864,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W4409796034","doi":"10.1109/tem.2025.3563779","title":"Enabling System Flexibility in Smart Grid Architecture","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Flexibility (engineering); Architecture; Computer science; Smart grid; Computer architecture; Systems engineering; Embedded system; Distributed computing; Engineering; Electrical engineering; Geography","score_opus":0.005091860015383081,"score_gpt":0.19367818879831575,"score_spread":0.18858632878293266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409796034","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046774734,0.00015597741,0.9457631,0.000036181613,0.0032139274,0.00036091817,0.000007934265,0.00088149676,0.002805697],"genre_scores_gemma":[0.9985053,0.00006837218,0.0010621666,0.000023562114,0.00003736572,0.00011592066,0.0000013018496,0.000021611488,0.00016440207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990094,0.000014425176,0.00025711526,0.00026525973,0.00014017838,0.00031367262],"domain_scores_gemma":[0.9995375,0.000048013902,0.000008629459,0.0003462693,0.000009656334,0.000049877177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017006132,0.00020231535,0.0001804187,0.00054454117,0.000059861548,0.00003254494,0.00018899454,0.00007783528,0.000009902856],"category_scores_gemma":[0.000001610693,0.0002154895,0.00008177465,0.0006584539,0.000015333459,0.00006720656,0.00000237944,0.0003679587,0.0000208181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011815712,0.000038589504,0.000008225221,0.001034531,0.00006283936,0.00002035878,0.000094237665,0.99187595,0.00028999578,0.00047934186,0.000048123846,0.0060359673],"study_design_scores_gemma":[0.00083024433,0.000031962136,0.0021008172,0.0010018847,0.000066883214,0.000007120049,0.00031217423,0.9678526,0.017546067,0.00004328113,0.009689145,0.0005178342],"about_ca_topic_score_codex":0.000016395092,"about_ca_topic_score_gemma":0.000036697667,"teacher_disagreement_score":0.95173055,"about_ca_system_score_codex":0.00027491318,"about_ca_system_score_gemma":0.000005399964,"threshold_uncertainty_score":0.87874067},"labels":[],"label_agreement":null},{"id":"W4409852524","doi":"10.1016/j.epsr.2025.111747","title":"A novel analytic approach for insider and outsider attack detection and classification using the dual-tree complex wavelet transform and convolutional neural networks","year":2025,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Pattern recognition (psychology); Dual (grammatical number); Artificial intelligence; Wavelet; Computer science; Tree (set theory); Wavelet transform; Insider; Mathematics; Linguistics","score_opus":0.093987559668932,"score_gpt":0.3297437746126184,"score_spread":0.23575621494368637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409852524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21574157,0.0069075758,0.77484685,0.00020622107,0.00022607276,0.0013249294,0.000008162791,0.00006113105,0.0006774919],"genre_scores_gemma":[0.9993979,0.00013755828,0.0001519175,0.000015421387,0.00007755473,0.00009208967,0.0000059059967,0.000014175794,0.00010751827],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871343,0.000100842706,0.00023772658,0.00028187368,0.0002581661,0.00040794606],"domain_scores_gemma":[0.99923676,0.00038169662,0.000022727943,0.00014622815,0.00014367004,0.000068927584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008902001,0.00013093588,0.00018732494,0.00027897768,0.00045071996,0.00017306744,0.00007768006,0.00013044599,0.0000012363944],"category_scores_gemma":[0.000056950998,0.000101573285,0.000027731801,0.00070951483,0.00015911242,0.00012517154,0.000028654333,0.0003943342,1.5945831e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014303352,0.00065256184,0.010541652,0.00791245,0.0023866526,0.000020164347,0.009618884,0.3749994,0.44734532,0.017296307,0.013819662,0.11397661],"study_design_scores_gemma":[0.0004617256,0.000049937462,0.018094804,0.000022799495,0.000017758259,0.000090257025,0.00030245646,0.98001933,0.00006963694,0.000025184483,0.00074281014,0.00010332556],"about_ca_topic_score_codex":0.00009830123,"about_ca_topic_score_gemma":0.00008152059,"teacher_disagreement_score":0.7836563,"about_ca_system_score_codex":0.000115747745,"about_ca_system_score_gemma":0.00004046873,"threshold_uncertainty_score":0.41420385},"labels":[],"label_agreement":null},{"id":"W4410028485","doi":"10.1145/3733717","title":"Learning-Guided Fuzzing for Testing Stateful SDN Controllers","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fuzz testing; Stateful firewall; Computer science; Computer security; Programming language; Software","score_opus":0.0684615723814985,"score_gpt":0.3068296410605721,"score_spread":0.2383680686790736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410028485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06767533,0.00047894972,0.92947507,0.00008023477,0.0011720095,0.0002093917,0.000010063038,0.0008594647,0.000039512688],"genre_scores_gemma":[0.36168423,0.00020866843,0.63739413,0.00009495381,0.00007253667,0.00016100965,0.0000049885966,0.000046253477,0.00033321558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999041,0.000070221555,0.00024072255,0.0002454809,0.00005922022,0.0003433042],"domain_scores_gemma":[0.9946263,0.0050253775,0.00001942422,0.00020186281,0.00005416375,0.00007288471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051881577,0.00019744613,0.00031422696,0.00026488173,0.00019599176,0.000023972321,0.00014333932,0.00016166149,0.0000057992147],"category_scores_gemma":[0.0025733542,0.00020650888,0.00007771749,0.0002870784,0.00004122486,0.000065399916,0.00000580405,0.0004063105,0.0000020031052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027864815,0.000010769001,0.00017861777,0.00022879346,0.000113344046,0.0000023252132,0.00030176717,0.9439369,0.00395457,0.00013255709,0.00007755901,0.051034965],"study_design_scores_gemma":[0.006280847,0.000874212,0.0045734486,0.0007245864,0.00050814677,0.00015016814,0.0010866603,0.85630435,0.048410095,0.002821566,0.07653548,0.0017304468],"about_ca_topic_score_codex":0.000011760224,"about_ca_topic_score_gemma":0.0000042277857,"teacher_disagreement_score":0.2940089,"about_ca_system_score_codex":0.00004140016,"about_ca_system_score_gemma":0.000023839635,"threshold_uncertainty_score":0.8421188},"labels":[],"label_agreement":null},{"id":"W4410033985","doi":"10.1007/978-3-031-87499-4_21","title":"Actively Secure Authenticated Data Acquisition Protocols: Advancing Substation Automation Security","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Computer security; Cryptographic protocol; Automation; Computer network; Cryptography","score_opus":0.015067144461051583,"score_gpt":0.2701627259649019,"score_spread":0.2550955815038503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410033985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066718715,0.00017125036,0.992688,0.0001256209,0.0010411214,0.00348078,0.00007546001,0.00042833938,0.0013222211],"genre_scores_gemma":[0.8950794,0.0001467049,0.10111114,0.0005475316,0.001285705,0.0006706339,0.0008515933,0.00012049433,0.00018683744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977042,0.00002773936,0.00040583918,0.0008584208,0.00058598025,0.00041780685],"domain_scores_gemma":[0.9984426,0.00022962602,0.00012966228,0.00095176883,0.00016175311,0.00008460135],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005787188,0.0003646408,0.00032574628,0.00053398137,0.00019209998,0.00021583073,0.0012916463,0.00033435816,0.000031456588],"category_scores_gemma":[0.00009905141,0.00036571483,0.000046821853,0.00050844735,0.00026030705,0.00086546893,0.0003993677,0.00069962675,0.000017664242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057308567,0.00010344312,0.00012475005,0.002076065,0.00007988346,0.00008355791,0.007982535,0.4999762,0.003238093,0.006269641,0.0007709147,0.47923762],"study_design_scores_gemma":[0.00018903724,0.000035696758,0.00023604376,0.0011479608,0.000014726175,0.000010745039,8.975073e-7,0.9643621,0.0030511166,0.029226875,0.0013244334,0.00040036606],"about_ca_topic_score_codex":0.000008562279,"about_ca_topic_score_gemma":0.00011756221,"teacher_disagreement_score":0.89441216,"about_ca_system_score_codex":0.00036835353,"about_ca_system_score_gemma":0.000263985,"threshold_uncertainty_score":0.9998795},"labels":[],"label_agreement":null},{"id":"W4410122505","doi":"10.1016/j.epsr.2025.111660","title":"Enhancing transmission line security: Robust sag interval estimation under hybrid cyber attacks","year":2025,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Guangdong Power Grid Company; National Natural Science Foundation of China","keywords":"Transmission line; Computer security; Computer science; Transmission (telecommunications); Interval (graph theory); Line (geometry); Electric power transmission; Electronic engineering; Reliability engineering; Electrical engineering; Engineering; Telecommunications; Mathematics","score_opus":0.021095235047775943,"score_gpt":0.3067779055180444,"score_spread":0.28568267047026846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410122505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25907928,0.014382975,0.7079616,0.00047191491,0.0019961034,0.0009608941,0.000007085181,0.00053139875,0.014608747],"genre_scores_gemma":[0.99780744,0.000344072,0.00010050574,0.000024689347,0.000121123514,0.00006621749,0.000014162219,0.000035246823,0.0014865365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997253,0.00031432003,0.00048881385,0.00039995348,0.0006974373,0.0008465043],"domain_scores_gemma":[0.9987993,0.00038769582,0.000027588434,0.00039089334,0.00022959113,0.00016490478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016921179,0.00022286206,0.00032468187,0.0008006942,0.0002894427,0.00020329631,0.00042241078,0.00018522718,0.00005087875],"category_scores_gemma":[0.00012069207,0.00020585787,0.0000914313,0.001676366,0.000055401324,0.00023747007,0.00006584599,0.0010779821,0.000113232745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002546728,0.0005060666,0.00039261166,0.0046851416,0.0005566447,0.00019465965,0.0042073624,0.74207,0.13375315,0.0070025576,0.08230486,0.024072254],"study_design_scores_gemma":[0.0005103435,0.00015702503,0.00031999956,0.0011272109,0.000015260877,0.000053509782,0.00023215501,0.9126958,0.064529754,0.0006283222,0.019389797,0.000340809],"about_ca_topic_score_codex":0.00011822755,"about_ca_topic_score_gemma":0.000028426688,"teacher_disagreement_score":0.73872817,"about_ca_system_score_codex":0.0004465667,"about_ca_system_score_gemma":0.00019151584,"threshold_uncertainty_score":0.839464},"labels":[],"label_agreement":null},{"id":"W4410196009","doi":"10.1016/j.epsr.2025.111797","title":"Cybersecurity in maritime power systems: A comprehensive review of cyber threats and mitigation techniques","year":2025,"lang":"en","type":"review","venue":"Electric Power Systems Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer security; Electric power system; Power (physics); Cyber threats; Cyberwarfare; Computer science; Engineering; Systems engineering","score_opus":0.03443202417152688,"score_gpt":0.35879453501762426,"score_spread":0.32436251084609735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410196009","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015268006,0.9859528,0.000072055605,0.00001338924,0.000558306,0.00480606,0.00007486091,0.0001615715,0.008345712],"genre_scores_gemma":[0.0014769018,0.99697447,0.000014538194,0.000008609129,0.00004995255,0.00097015843,0.00004766333,0.00006353303,0.00039414703],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99418914,0.0016378416,0.0015036794,0.00068785396,0.0010994212,0.00088204455],"domain_scores_gemma":[0.9968099,0.0014177453,0.00020662346,0.0007965244,0.00060427986,0.00016493228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025460916,0.00055725186,0.0027882268,0.0018398329,0.00010224288,0.000110703346,0.00063905,0.0007324663,0.000019394338],"category_scores_gemma":[0.00032195044,0.00048683718,0.00026445344,0.0036534762,0.00015864396,0.00016880438,0.00019896218,0.0018240937,0.000028969485],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070133865,0.000088137574,0.000012120112,0.9271948,0.0002643743,0.00012521734,0.00021216062,0.0000061984133,0.000013866889,0.0016409467,0.01806803,0.05236715],"study_design_scores_gemma":[0.00009366379,0.0000870116,0.0000081624985,0.33363444,0.00006806675,0.00013240936,0.0000467762,0.00016605755,0.00001032213,0.000021395235,0.66536766,0.00036403537],"about_ca_topic_score_codex":0.0003415782,"about_ca_topic_score_gemma":0.00001321211,"teacher_disagreement_score":0.64729965,"about_ca_system_score_codex":0.0006119256,"about_ca_system_score_gemma":0.0005511175,"threshold_uncertainty_score":0.9997583},"labels":[],"label_agreement":null},{"id":"W4410297785","doi":"10.1109/reepe63962.2025.10971096","title":"Ethical Considerations in Artificial Intelligence (AI) Applications in Smart Grid","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"American University of Sharjah","keywords":"Computer science; Artificial intelligence","score_opus":0.017201010857160574,"score_gpt":0.2862577842270996,"score_spread":0.269056773369939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410297785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2275753,0.0008301944,0.66238415,0.024352811,0.0021796713,0.001635042,0.000021988117,0.0008285335,0.08019233],"genre_scores_gemma":[0.99852395,0.000031279567,0.0006614762,0.0006012041,0.00003863125,0.00009360227,0.000004475682,0.000003947371,0.000041408945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993563,0.000024289702,0.00026534218,0.0001364449,0.00006503999,0.0001525286],"domain_scores_gemma":[0.9995463,0.00026038874,0.000005124715,0.00014082788,0.000019464467,0.000027925946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015618523,0.00007256478,0.00009956636,0.00019062935,0.000048201146,0.00003097412,0.000080357844,0.00015536713,0.000101630285],"category_scores_gemma":[0.00009016672,0.00007217206,0.00002089773,0.0005136734,0.00006558534,0.000053509655,0.000022420072,0.00053415133,0.000046359193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020857808,0.000071337214,0.00731034,0.000037551843,0.0000047981093,0.0000055360424,0.0005093977,0.069079295,0.0008087377,0.9188701,0.0018452466,0.0014555978],"study_design_scores_gemma":[0.00020946059,0.000021416618,0.05113722,0.00017150359,0.000013008089,0.00000791521,0.0019731885,0.40131438,0.05492056,0.466918,0.022651466,0.0006618714],"about_ca_topic_score_codex":0.00008879466,"about_ca_topic_score_gemma":0.006469596,"teacher_disagreement_score":0.77094865,"about_ca_system_score_codex":0.000042605927,"about_ca_system_score_gemma":0.000047728565,"threshold_uncertainty_score":0.36101866},"labels":[],"label_agreement":null},{"id":"W4410341461","doi":"10.1109/cpeee64598.2025.10987443","title":"Big-Data Modeling Based Simscape Power Systems-ST for Protective Relaying","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer science; Big data; Electric power system; Data modeling; Power (physics); Database; Data mining","score_opus":0.03663002475077513,"score_gpt":0.24627222354297307,"score_spread":0.20964219879219795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410341461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01373165,0.00085632055,0.97703916,0.00011156518,0.0014611408,0.0007323438,0.00004601182,0.00039085865,0.005630951],"genre_scores_gemma":[0.9982948,0.000009022981,0.0012431265,0.00007951879,0.00006928243,0.000109784436,0.00002097663,0.000018344932,0.0001551837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921393,0.000011991461,0.00018967163,0.00025533483,0.0000994314,0.00022964615],"domain_scores_gemma":[0.99931663,0.00011392104,0.000011722015,0.00046182144,0.000058129415,0.000037799357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024581244,0.00012159188,0.00014690468,0.00010920824,0.00011772181,0.00006527244,0.00031531803,0.00009803765,0.000008201983],"category_scores_gemma":[0.0000948838,0.00010794408,0.000038609094,0.00018567097,0.000014184039,0.0001618724,0.00006503767,0.0001414456,0.000008203523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001642923,0.000015205845,0.000025249128,0.00034955848,0.000038865255,0.0000013767756,0.00007306212,0.9926826,0.00083713396,0.003195907,0.0022900174,0.00047462914],"study_design_scores_gemma":[0.0002618638,0.000013193248,0.0000066198345,0.00014647514,0.000012983423,6.410859e-7,0.00027401105,0.9934574,0.0006459651,0.00016780796,0.004877051,0.00013600723],"about_ca_topic_score_codex":0.000027106484,"about_ca_topic_score_gemma":0.000027492531,"teacher_disagreement_score":0.9845631,"about_ca_system_score_codex":0.00004793168,"about_ca_system_score_gemma":0.000047894755,"threshold_uncertainty_score":0.44018316},"labels":[],"label_agreement":null},{"id":"W4410494434","doi":"10.3390/su17104654","title":"Sustainable Wind Energy Security: Assessing the Impact of False Data Injection on Wind Turbine Performance","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wind power; Turbine; Sustainable energy; Energy security; Energy (signal processing); Environmental science; Environmental economics; Marine engineering; Renewable energy; Engineering; Aerospace engineering; Economics; Electrical engineering; Mathematics; Statistics","score_opus":0.007702614734848845,"score_gpt":0.2819742404314073,"score_spread":0.27427162569655844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410494434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961043,0.000434072,0.00036800653,0.0002132611,0.00024274399,0.00031354692,0.000013623014,0.00011493533,0.0021955124],"genre_scores_gemma":[0.9993915,0.00004985962,0.0000073877127,0.000023198478,0.00009195539,0.000006265283,0.000025213016,0.000014402744,0.00039020466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984577,0.00013017145,0.00032913222,0.00035888684,0.00022317837,0.00050093647],"domain_scores_gemma":[0.99789816,0.00023256947,0.000058882913,0.0013288654,0.00042435032,0.000057174784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009273314,0.00022201377,0.00026279016,0.00016945919,0.00029539695,0.00009460656,0.00062546326,0.00013547053,0.000019948291],"category_scores_gemma":[0.0006963714,0.00015723525,0.00009456186,0.000916333,0.00023906908,0.0006800827,0.000302254,0.00037737295,8.5632075e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002548931,0.0005982549,0.11134563,0.0034547872,0.0002653505,0.00003968404,0.0030726949,0.8426126,0.00028263684,0.009303558,0.0068527963,0.02191709],"study_design_scores_gemma":[0.0010230116,0.00052985555,0.53841126,0.00021734365,0.000091784874,0.000019797038,0.011810268,0.4024301,0.0058226823,0.029798709,0.009186288,0.00065891177],"about_ca_topic_score_codex":0.0013134356,"about_ca_topic_score_gemma":0.00003688922,"teacher_disagreement_score":0.44018254,"about_ca_system_score_codex":0.00096124865,"about_ca_system_score_gemma":0.0005497277,"threshold_uncertainty_score":0.6411868},"labels":[],"label_agreement":null},{"id":"W4410614295","doi":"10.1109/tsg.2025.3572731","title":"Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Electricity; Computer science; Data modeling; Electricity generation; Engineering; Electrical engineering; Power (physics); Physics; Database","score_opus":0.021044555967442036,"score_gpt":0.2524481947803244,"score_spread":0.23140363881288234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410614295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26213542,0.0004039077,0.7304533,0.00005466327,0.00565708,0.00028599726,0.000079949146,0.00039977292,0.0005298844],"genre_scores_gemma":[0.99905956,0.00043969048,0.000088626046,0.000042787935,0.00010629033,0.00005630224,0.000033069617,0.000024562936,0.00014912458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998605,0.000073412746,0.00040455055,0.00038478637,0.00018852597,0.00034370887],"domain_scores_gemma":[0.9991781,0.000085780826,0.000016887823,0.00060400506,0.000052921958,0.00006228595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028234837,0.00022277288,0.00025914074,0.00060940516,0.00015834907,0.000076999895,0.00038617116,0.0001920621,0.000011259617],"category_scores_gemma":[0.000011382836,0.00022516538,0.000056346686,0.0012865855,0.00002934482,0.0003551324,0.0000030228828,0.00074174564,0.000045863555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003580679,0.000083822575,0.00006384792,0.000076415716,0.000043652894,0.0000056333124,0.000107293396,0.99480975,0.0010975535,0.000025031162,0.0007963236,0.0028548925],"study_design_scores_gemma":[0.00035912372,0.000037512807,0.000035099813,0.00019294572,0.000029041821,0.000012904492,0.000172223,0.9925347,0.0039999005,0.00001937517,0.0023999237,0.00020725896],"about_ca_topic_score_codex":0.0010986105,"about_ca_topic_score_gemma":0.0020407059,"teacher_disagreement_score":0.7369241,"about_ca_system_score_codex":0.0002190173,"about_ca_system_score_gemma":0.00007127324,"threshold_uncertainty_score":0.91819775},"labels":[],"label_agreement":null},{"id":"W4410832690","doi":"10.1016/j.automatica.2025.112387","title":"False Noise Attack Detection for differentially-private distributed control of microgrids","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; Clinical Special Fund of Jiangsu Province; Shenzhen Science and Technology Innovation Program; Compute Canada","keywords":"Noise (video); Control (management); Computer science; Control theory (sociology); Computer security; Artificial intelligence","score_opus":0.005575079578411376,"score_gpt":0.2264718661736664,"score_spread":0.22089678659525502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410832690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60257125,0.00016466118,0.39621556,0.0000590464,0.00039840586,0.0002563393,0.000065866676,0.00020566583,0.00006321274],"genre_scores_gemma":[0.99928343,0.000021080044,0.0005444467,0.000021145412,0.000033016426,0.00005133529,0.000015632962,0.000009620795,0.000020296378],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993793,0.000015402224,0.0002541242,0.00010249426,0.00007151644,0.00017719425],"domain_scores_gemma":[0.99956447,0.00014784953,0.000031034444,0.00018573822,0.0000380267,0.000032882526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068428344,0.00010426656,0.00020493075,0.000064274594,0.000052349944,0.000018254692,0.00013466271,0.00007945363,0.000011547736],"category_scores_gemma":[0.0000798771,0.000095789765,0.000087336084,0.00016077749,0.00004669156,0.00004571186,0.000018083423,0.0000670618,0.0000079552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014144523,0.00029343428,0.001742528,0.0029695719,0.0006225165,0.0000034115515,0.00039764476,0.02135978,0.92492193,0.0032725716,0.0036689818,0.040606163],"study_design_scores_gemma":[0.0013253608,0.00005535474,0.022409406,0.00013222494,0.000109591776,0.0000014723877,0.000023146094,0.7078988,0.2610834,0.00074951124,0.0060402346,0.00017148907],"about_ca_topic_score_codex":0.0000031776026,"about_ca_topic_score_gemma":0.000012056666,"teacher_disagreement_score":0.686539,"about_ca_system_score_codex":0.000027181519,"about_ca_system_score_gemma":0.000010508393,"threshold_uncertainty_score":0.39061934},"labels":[],"label_agreement":null},{"id":"W4410886697","doi":"10.1109/tmlcn.2025.3575368","title":"A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Machine Learning in Communications and Networking","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Link (geometry); Ran; Computer science; Computer network","score_opus":0.011398148563199324,"score_gpt":0.2462838780897324,"score_spread":0.23488572952653308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410886697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08108816,0.007943164,0.9053807,0.0027797848,0.00084555865,0.00048815744,0.000013276045,0.0005120511,0.00094910257],"genre_scores_gemma":[0.9865518,0.008761138,0.004335494,0.00010504248,0.000053472246,0.00011022699,0.000017688415,0.000024425786,0.000040666746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881345,0.0002274857,0.00037710523,0.0002095178,0.000103384424,0.00026907923],"domain_scores_gemma":[0.9988037,0.00061606214,0.0000310996,0.00048450884,0.000017488901,0.00004716683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035745653,0.00018933091,0.00023530581,0.00046570227,0.0004203451,0.000060012964,0.0003036554,0.00021533974,0.0000147740975],"category_scores_gemma":[0.0000073743513,0.00020565678,0.00007143417,0.0010035264,0.00009798105,0.00010632777,0.0000024369049,0.0018209442,0.0000020256107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003540593,0.000067877016,0.004589901,0.000050953997,0.000025180063,0.0000013624651,0.0006384559,0.91422725,0.00027554322,0.00018218657,0.000012134073,0.07989376],"study_design_scores_gemma":[0.00089654047,0.000040386654,0.0015128192,0.0006966184,0.000020963487,0.0000026938887,0.00007947444,0.9793408,0.00021738072,0.00023783326,0.01678086,0.00017365032],"about_ca_topic_score_codex":0.0002049072,"about_ca_topic_score_gemma":0.0027921489,"teacher_disagreement_score":0.9054637,"about_ca_system_score_codex":0.00010062688,"about_ca_system_score_gemma":0.0000324885,"threshold_uncertainty_score":0.83864397},"labels":[],"label_agreement":null},{"id":"W4411055255","doi":"10.1109/lcsys.2025.3576712","title":"Zero Dynamics Attack Detection and Isolation in Cyber–Physical Systems With Event-Triggered Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isolation (microbiology); Event (particle physics); Cyber-physical system; Computer science; Zero (linguistics); Computer security; Physics; Biology","score_opus":0.0038566275803974693,"score_gpt":0.20048191000259796,"score_spread":0.19662528242220048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411055255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82937723,0.0007740742,0.16790856,0.0002312028,0.0008363005,0.0006083149,0.0000070909123,0.00012331647,0.00013392266],"genre_scores_gemma":[0.99965364,0.000026505133,0.000007349604,0.00006202822,0.00008105942,0.00012160903,0.000005460238,0.000015630569,0.000026714202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990686,0.00015057495,0.0002738481,0.00017459298,0.00013644656,0.00019592525],"domain_scores_gemma":[0.99944246,0.00016188454,0.00006076276,0.00026565572,0.00003307981,0.000036157355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019691618,0.00015294291,0.0002761357,0.00015914509,0.00008667623,0.000099488694,0.00011669788,0.00009077418,1.18939404e-7],"category_scores_gemma":[0.0000098619375,0.00014015177,0.00002727108,0.00025364652,0.000050150527,0.0001957587,0.000007692214,0.00022221937,0.0000038738426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058583297,0.000021672624,0.0027610227,0.00030030933,0.00007610344,0.000004379826,0.00033588993,0.9571264,0.0384129,0.000240113,0.00032033646,0.0003423207],"study_design_scores_gemma":[0.0011405686,0.000022580176,0.0033216346,0.00034204882,0.000026852533,0.000008005449,0.00013162367,0.99453557,0.00013200214,0.000006499951,0.00018376738,0.00014886106],"about_ca_topic_score_codex":0.0003823082,"about_ca_topic_score_gemma":0.00048521397,"teacher_disagreement_score":0.17027643,"about_ca_system_score_codex":0.00025233853,"about_ca_system_score_gemma":0.0000100611005,"threshold_uncertainty_score":0.57152236},"labels":[],"label_agreement":null},{"id":"W4411079194","doi":"10.1016/j.segan.2025.101768","title":"Detection and classification of concurrent attacks in substation automation systems using wavelet design and deep learning","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Wavelet; Artificial intelligence; Computer science; Deep learning; Learning design; Engineering; Systems engineering; Machine learning; Mathematics; Mechanical engineering","score_opus":0.007235092455798646,"score_gpt":0.21661419715914923,"score_spread":0.20937910470335058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411079194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45311764,0.006426176,0.54013556,0.0000038155085,0.00014623751,0.00009420904,1.0344014e-7,0.000031280477,0.000044947665],"genre_scores_gemma":[0.99728787,0.0025015376,0.00010197981,0.0000024072046,0.000036061716,0.000018056031,0.000004909196,0.0000073975834,0.00003979216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993548,0.00007893454,0.00019856478,0.0001389002,0.00005585538,0.00017296606],"domain_scores_gemma":[0.9997191,0.00009950751,0.000046783283,0.000047657766,0.00005825624,0.000028726019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764463,0.00009221439,0.00013454254,0.00016557229,0.000114589864,0.000049704857,0.000022722901,0.00011230471,3.8436048e-7],"category_scores_gemma":[0.000020483145,0.00009511678,0.000008641866,0.00028297136,0.000049195773,0.00016743629,0.000017725843,0.000116344076,1.5661202e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013218161,0.0000059048025,0.001322387,0.00029887602,0.000010535723,0.0000019949553,0.0002804164,0.9550907,0.00096428685,0.0060939062,0.0000056237327,0.03591215],"study_design_scores_gemma":[0.00024785014,0.000031224186,0.01249777,0.00010158939,0.0000132084615,0.0000039520382,0.0015359019,0.9846595,0.0003353815,0.00014740562,0.0003388149,0.00008741495],"about_ca_topic_score_codex":0.0001483687,"about_ca_topic_score_gemma":0.000044626904,"teacher_disagreement_score":0.5441702,"about_ca_system_score_codex":0.00007577044,"about_ca_system_score_gemma":0.0000134934235,"threshold_uncertainty_score":0.387875},"labels":[],"label_agreement":null},{"id":"W4411143952","doi":"10.1109/incip64058.2025.11020222","title":"Achieving High QoS in Smart Grids Through Priority-Based Data Transmission","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Quality of service; Transmission (telecommunications); Computer network; Telecommunications","score_opus":0.014220762411041853,"score_gpt":0.25542576350775087,"score_spread":0.241205001096709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411143952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5828453,0.0019156393,0.37770882,0.002727299,0.003493843,0.00056169496,0.00003388537,0.0009821061,0.029731428],"genre_scores_gemma":[0.9870597,0.00023260908,0.011864002,0.00036255346,0.0001524021,0.000008529046,0.0000637619,0.000015531989,0.00024090447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913377,0.000029195882,0.00021437097,0.00025641388,0.00012873598,0.00023749143],"domain_scores_gemma":[0.9993485,0.00009595929,0.000007980675,0.000501053,0.000009820057,0.000036667396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018366442,0.00012927764,0.00016166765,0.00008964766,0.000062164196,0.000031303098,0.00046266,0.00010523451,0.00008516196],"category_scores_gemma":[0.000018164104,0.000113177135,0.000027434322,0.0004049525,0.000032155058,0.0002765195,0.000066598135,0.0002628951,0.000016578859],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035857008,0.0014342029,0.15992536,0.006910657,0.0002922028,0.00031163456,0.0047587254,0.34138027,0.09374016,0.052666064,0.15242621,0.18579595],"study_design_scores_gemma":[0.002100345,0.000047699523,0.07725693,0.0008809751,0.000040689712,0.000002868179,0.00017352602,0.29336047,0.032645155,0.00058213266,0.5922036,0.0007056029],"about_ca_topic_score_codex":0.00022662975,"about_ca_topic_score_gemma":0.00021225784,"teacher_disagreement_score":0.4397774,"about_ca_system_score_codex":0.000038370184,"about_ca_system_score_gemma":0.0000520913,"threshold_uncertainty_score":0.46152297},"labels":[],"label_agreement":null},{"id":"W4411232145","doi":"10.1109/tsg.2025.3579316","title":"Adversarial Attacks on Deep Learning-Based False Data Injection Detection in Differential Relays","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Adversarial system; Computer science; Artificial intelligence; Differential privacy; Deep learning; Machine learning; Data mining","score_opus":0.012038525955053673,"score_gpt":0.23787225008405394,"score_spread":0.22583372412900027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411232145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2476752,0.000030628693,0.74046606,0.00005469368,0.010495387,0.0003319461,0.0000380428,0.0004147584,0.00049327733],"genre_scores_gemma":[0.9993192,0.00006341003,0.000059988575,0.000053216623,0.00024715764,0.00006948889,0.000035640423,0.000027785607,0.00012408682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859977,0.00010999244,0.0003131374,0.0004365748,0.00023495698,0.00030556714],"domain_scores_gemma":[0.99916226,0.00019894908,0.00003070261,0.00051516324,0.000026694472,0.000066238485],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016229936,0.0002391984,0.00021701446,0.0005454353,0.0002659585,0.000049039263,0.0002753419,0.00024650188,0.00008252241],"category_scores_gemma":[0.000019999945,0.0002551399,0.00009443777,0.0006312906,0.000055471093,0.00022752931,0.0000032241967,0.0009973695,0.000088527224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034862416,0.00018691023,0.00009816641,0.000050948973,0.00004156842,0.000006201029,0.0001052916,0.96639514,0.0026331048,0.0000050930125,0.00019655783,0.029932423],"study_design_scores_gemma":[0.0016826647,0.00026320835,0.0021979648,0.00012808028,0.00006165222,0.000004361857,0.00008559668,0.93731356,0.05234148,0.000015933618,0.005594131,0.0003113503],"about_ca_topic_score_codex":0.00014169508,"about_ca_topic_score_gemma":0.0032816557,"teacher_disagreement_score":0.751644,"about_ca_system_score_codex":0.0002094856,"about_ca_system_score_gemma":0.00003475394,"threshold_uncertainty_score":0.9999901},"labels":[],"label_agreement":null},{"id":"W4411334001","doi":"10.1016/j.iot.2025.101669","title":"Enhancing IEEE 1588 PTP security for IIoT networks: A lightweight attack detection and mitigation framework","year":2025,"lang":"en","type":"article","venue":"Internet of Things","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer security; Security analysis; Computer network","score_opus":0.004752227081470084,"score_gpt":0.2299740691669399,"score_spread":0.22522184208546983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411334001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6241781,0.0007038999,0.37280646,0.00005584206,0.0016662964,0.00016465387,0.0000013325055,0.00010682557,0.00031659633],"genre_scores_gemma":[0.9977733,0.00009350534,0.001703076,0.00012369656,0.00016307205,0.000021138598,0.0000018565074,0.000012326252,0.00010804364],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931586,0.000014460226,0.0002463726,0.00017111392,0.000082934945,0.00016925721],"domain_scores_gemma":[0.999527,0.00021623174,0.00004879344,0.00012130966,0.000050252038,0.000036464964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015394491,0.000119958946,0.00017122713,0.00008866703,0.000045091856,0.000042268006,0.00012684641,0.00018748119,0.000008044911],"category_scores_gemma":[0.00009217301,0.000120193035,0.00006396551,0.00013818148,0.000048986152,0.00020292914,0.000031138712,0.00024264454,0.0000021016306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015086612,0.00063138007,0.00870661,0.018615756,0.0025818506,0.000034543045,0.16263543,0.09837583,0.50160784,0.043240573,0.07280462,0.08925689],"study_design_scores_gemma":[0.00022463489,0.00006933906,0.00030851728,0.00097231864,0.00003568529,0.0000040620776,0.00010985999,0.49383318,0.49327016,0.005369422,0.005631319,0.000171488],"about_ca_topic_score_codex":0.000037321322,"about_ca_topic_score_gemma":0.000057470523,"teacher_disagreement_score":0.39545736,"about_ca_system_score_codex":0.00004306945,"about_ca_system_score_gemma":0.000007144773,"threshold_uncertainty_score":0.490133},"labels":[],"label_agreement":null},{"id":"W4411337609","doi":"10.1109/icps64254.2025.11030383","title":"Optimized CNN for Fault Recognition in Power Systems with High Penetrations of Inverter-Based Resources","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Fault (geology); Power (physics); Inverter; Pattern recognition (psychology); Artificial intelligence","score_opus":0.00785780308310861,"score_gpt":0.20257204906279846,"score_spread":0.19471424597968987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411337609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8806604,0.00015485694,0.111375034,0.0000952555,0.0002853417,0.00051740377,0.000024470555,0.00010953875,0.0067777145],"genre_scores_gemma":[0.99634176,0.000007814646,0.0033763945,0.0000341507,0.000007519547,0.000083348496,0.000017962764,0.000005956895,0.00012507285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995697,0.000015179682,0.000167459,0.00008893143,0.00006391275,0.00009482382],"domain_scores_gemma":[0.9997126,0.00011354513,0.00001669861,0.00009247317,0.000047736903,0.000016934626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078279554,0.000065827975,0.00012512141,0.00013816755,0.000024051882,0.00001703304,0.00006143278,0.000055699755,0.000018387575],"category_scores_gemma":[0.000018920726,0.00005262109,0.000021754355,0.00021266633,0.000024864537,0.00005895664,0.0000036877004,0.000051150437,0.0000018165613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014925018,0.00007403655,0.0006300512,0.00041429183,0.00003741102,0.0000013321468,0.0004437875,0.9936872,0.0019143848,0.0007017151,0.0017678337,0.00017871962],"study_design_scores_gemma":[0.0029169964,0.0001623618,0.003105222,0.0005484494,0.000027802593,9.5135266e-7,0.0010430517,0.96866214,0.022118233,0.00017814162,0.0010225531,0.00021409093],"about_ca_topic_score_codex":0.00015910075,"about_ca_topic_score_gemma":0.0001953851,"teacher_disagreement_score":0.115681395,"about_ca_system_score_codex":0.000019439547,"about_ca_system_score_gemma":0.00002035858,"threshold_uncertainty_score":0.21458258},"labels":[],"label_agreement":null},{"id":"W4411657010","doi":"10.51847/sh5ptua5i1","title":"10.51847/Sh5PTUa5i1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Mathematics; Geometry","score_opus":0.0033080465966823782,"score_gpt":0.15066933632640192,"score_spread":0.14736128972971954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411657010","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010394411,0.00012940833,0.0000027111978,0.000052622334,0.0000086980635,0.0000707076,0.0000046938776,0.00034085324,0.9889959],"genre_scores_gemma":[0.003582594,0.0000016429399,0.00006621552,0.000027808097,0.0001437958,0.000007113255,0.0000033841748,0.000016339325,0.9961511],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995236,0.000006990871,0.00008461624,0.00009887778,0.00009314007,0.000192808],"domain_scores_gemma":[0.9997112,0.000017373524,0.0000030425037,0.00016376018,0.00000876351,0.000095873416],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004128175,0.00008365004,0.00008344976,0.000036077512,0.000036968497,0.00001889115,0.00013884073,0.00004427209,0.9792069],"category_scores_gemma":[0.0000068042536,0.00008250128,0.000029056318,0.00014419554,0.000016168435,0.000060743405,0.000010822912,0.00007318303,0.9797564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013535419,0.000017428125,3.4654667e-7,0.000012985339,0.000012167591,0.000009589215,0.00007092149,0.02352867,0.00033302582,0.0000024556775,0.09743296,0.8785659],"study_design_scores_gemma":[0.00006724448,0.000025320895,0.00006904828,0.000009541301,0.0000034611746,0.0000060079674,6.012445e-7,0.0048063756,0.00018215843,0.0000014628885,0.99470884,0.00011992703],"about_ca_topic_score_codex":0.000004442968,"about_ca_topic_score_gemma":1.5117648e-7,"teacher_disagreement_score":0.89727587,"about_ca_system_score_codex":0.0000159739,"about_ca_system_score_gemma":0.0000048088045,"threshold_uncertainty_score":0.33643046},"labels":[],"label_agreement":null},{"id":"W4411673408","doi":"10.1016/j.automatica.2025.112463","title":"Optimal stochastic event-triggered attack on remote state estimation","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"State (computer science); Event (particle physics); Computer science; Estimation; Control theory (sociology); Algorithm; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.009707711804800087,"score_gpt":0.2669530865644664,"score_spread":0.25724537475966636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411673408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4977873,0.0001182422,0.49690333,0.00027704897,0.0006388461,0.0002483894,0.0000066933867,0.0007145155,0.003305639],"genre_scores_gemma":[0.9920694,0.000012211244,0.007305281,0.00009037467,0.000021188427,0.000007708704,0.0000071549052,0.000014500669,0.00047218252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992423,0.000020848627,0.00022430548,0.00013839513,0.00015538657,0.00021876224],"domain_scores_gemma":[0.99951994,0.00015107896,0.000021890575,0.00023757952,0.000019456571,0.00005005412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098372424,0.00012863765,0.00014735838,0.00011409497,0.0000758935,0.000039734954,0.00013729192,0.000056495603,0.000040343384],"category_scores_gemma":[0.000105381885,0.000121467,0.00004390835,0.00024499677,0.000035117053,0.000083413295,0.000022387956,0.00014149181,0.0003410871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068597883,0.00001740818,0.0000015422595,0.000098589895,0.000025578525,0.0000042479455,0.00024438897,0.98187995,0.00017847869,0.00029865568,0.0036648351,0.013579456],"study_design_scores_gemma":[0.00021435531,0.00003101633,0.00079300493,0.00020359321,0.000014715828,0.0000018012416,0.000017170918,0.9959975,0.0010790683,0.0012365591,0.00029103842,0.000120169585],"about_ca_topic_score_codex":0.0000036066283,"about_ca_topic_score_gemma":0.0000028789077,"teacher_disagreement_score":0.49428213,"about_ca_system_score_codex":0.000062389576,"about_ca_system_score_gemma":0.000027750524,"threshold_uncertainty_score":0.49532804},"labels":[],"label_agreement":null},{"id":"W4411687711","doi":"10.1109/tac.2025.3583604","title":"Event-Based Self-Defense Strategy in Networked Control Systems Against Zero-Dynamics Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zero (linguistics); Computer science; Dynamics (music); Event (particle physics); Control theory (sociology); Control (management); Artificial intelligence; Physics","score_opus":0.004877091306986609,"score_gpt":0.21421121443965893,"score_spread":0.20933412313267233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411687711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08522946,0.0003334327,0.9092529,0.00014977733,0.0018543691,0.0011196387,0.00007678697,0.0010853555,0.0008982938],"genre_scores_gemma":[0.99911827,0.000036695204,0.000065931716,0.00023497085,0.00003656036,0.00032288214,0.0000048993,0.000035843514,0.00014392588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998075,0.00019081071,0.0006730864,0.00029243258,0.00025577666,0.00051291],"domain_scores_gemma":[0.9988026,0.00054791564,0.00006165055,0.00042036804,0.000055055927,0.00011243363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032799217,0.00033425388,0.00054564467,0.00038083366,0.000150801,0.000102027145,0.00024661236,0.00024181645,0.000025174711],"category_scores_gemma":[0.00000800918,0.00033337978,0.00017465404,0.00058086164,0.00005336699,0.000119344535,5.1209065e-7,0.00042199597,0.000054662927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004569446,0.00020485268,0.000039225753,0.0002697608,0.00015822623,0.000024024812,0.00006453665,0.99116206,0.0002531612,0.00012002681,0.00023301077,0.0074254246],"study_design_scores_gemma":[0.004825199,0.00006475948,0.00022729237,0.00037073434,0.000116248375,0.0000033541344,0.000097094686,0.9937238,0.00013942989,0.000024534429,0.0001254323,0.0002821222],"about_ca_topic_score_codex":0.000049019756,"about_ca_topic_score_gemma":0.00038298618,"teacher_disagreement_score":0.9138888,"about_ca_system_score_codex":0.00039909093,"about_ca_system_score_gemma":0.00014375451,"threshold_uncertainty_score":0.99991184},"labels":[],"label_agreement":null},{"id":"W4412014531","doi":"10.18280/isi.300513","title":"A Firefly-Based Optimization Algorithm for Secure 5G-IoT Cyber-Physical Systems","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Firefly algorithm; Cyber-physical system; Computer science; Internet of Things; Firefly protocol; Optimization algorithm; Computer network; Computer security; Algorithm; Mathematical optimization; Mathematics; Biology; Particle swarm optimization","score_opus":0.006040952031659624,"score_gpt":0.21628451567194995,"score_spread":0.21024356364029032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412014531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019472267,0.00024518315,0.97359693,0.000025671716,0.0013061175,0.0007048545,0.00008718311,0.00051910616,0.004042658],"genre_scores_gemma":[0.9852395,0.000019261193,0.013667973,0.0001046111,0.00021685797,0.00036494937,0.00030369117,0.00002019463,0.00006297042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902636,0.000022515496,0.00039664312,0.00010583501,0.00017437132,0.00027428142],"domain_scores_gemma":[0.9993827,0.00010311625,0.000078492194,0.00018824059,0.00019184272,0.000055611537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016468411,0.00018606232,0.00022179354,0.0002335862,0.00022259375,0.0002121284,0.00016162862,0.00015147301,0.000004739253],"category_scores_gemma":[0.000072976625,0.00018264427,0.000088598375,0.00044213672,0.000064212974,0.000800117,0.000014595377,0.00012290747,0.000019610414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010234239,0.000016814514,0.000028432592,0.00091614324,0.000034521996,4.4972202e-7,0.0013423496,0.9642832,0.00004205648,0.0015713682,0.0015637669,0.030190617],"study_design_scores_gemma":[0.0004623792,0.00004068368,0.00009491644,0.00026437582,0.000023988105,0.0000031087745,0.00034046575,0.9881059,0.0012781644,0.00025295332,0.008941768,0.00019128958],"about_ca_topic_score_codex":0.000020706124,"about_ca_topic_score_gemma":0.000002600846,"teacher_disagreement_score":0.9657672,"about_ca_system_score_codex":0.00024625583,"about_ca_system_score_gemma":0.000072688126,"threshold_uncertainty_score":0.7448017},"labels":[],"label_agreement":null},{"id":"W4412129364","doi":"10.1109/ias62731.2025.11061594","title":"Survivability Analysis of Hybrid Micro-Grid Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton","funders":"","keywords":"Survivability; Computer science; Grid; Reliability engineering; Engineering; Computer network; Geology","score_opus":0.004222894661293114,"score_gpt":0.20646252047478095,"score_spread":0.20223962581348784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412129364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719462,0.00075386703,0.010539418,0.000020103986,0.0010204492,0.0000793253,0.000030123929,0.00012910673,0.015481416],"genre_scores_gemma":[0.9995349,0.000046743553,0.00007246065,0.000010032346,0.00002070574,0.000003868455,0.00000858565,0.000002859042,0.00029984917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994527,0.000022627093,0.00021555342,0.000113117414,0.00008108166,0.000114901006],"domain_scores_gemma":[0.9995592,0.00009353352,0.0000127156245,0.00026937513,0.000039906783,0.000025258281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017014329,0.00006956729,0.00024204375,0.0002063667,0.000020802963,0.000012398846,0.0001353308,0.000025305806,0.000053656433],"category_scores_gemma":[0.000022704327,0.000059950955,0.00010675785,0.0008231593,0.00003879759,0.00003637912,0.000022918195,0.00005994137,0.0000064844094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011337491,0.00009851354,0.15975629,0.000826999,0.0024375378,0.0000054111233,0.00018454948,0.8002976,0.021161137,0.0044414983,0.010342065,0.00043703118],"study_design_scores_gemma":[0.00022503204,0.000014837839,0.14627361,0.000053971624,0.0007355683,0.0000016688292,0.0003288463,0.72497886,0.11488663,0.00007625852,0.01213262,0.00029209105],"about_ca_topic_score_codex":0.00025932217,"about_ca_topic_score_gemma":0.000099181765,"teacher_disagreement_score":0.09372549,"about_ca_system_score_codex":0.000025547146,"about_ca_system_score_gemma":0.000011292828,"threshold_uncertainty_score":0.24447289},"labels":[],"label_agreement":null},{"id":"W4412129785","doi":"10.1109/ias62731.2025.11061675","title":"Control of Grid Connected Virtual Power Plants Over 5G Cellular Networks by a Hybrid Local and Supervisory Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Supervisory control; Computer science; Control (management); Power control; Grid; Power (physics); Distributed computing; Artificial intelligence; Mathematics; Physics","score_opus":0.0031439420548241403,"score_gpt":0.16097325584970568,"score_spread":0.15782931379488155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412129785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60333467,0.002424913,0.39056084,0.000013403905,0.0004143323,0.00015379708,0.00004729282,0.00010944489,0.0029413048],"genre_scores_gemma":[0.9995019,0.00010371968,0.000029875711,0.00015046776,0.000035332047,0.000007737578,0.000030392404,0.00001188188,0.00012870808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992198,0.00003064575,0.00021003338,0.00018712074,0.00011322266,0.0002391945],"domain_scores_gemma":[0.99961865,0.0001217216,0.000014089527,0.00015776909,0.000018821696,0.000068973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009294724,0.00015090885,0.00025373182,0.00005996051,0.000039546958,0.000016947224,0.00012339828,0.0001042691,0.00006737756],"category_scores_gemma":[0.000010489795,0.00013240527,0.000041939373,0.000101267455,0.00012846453,0.00007251878,0.000026531225,0.00018987858,0.000002231839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000741468,0.0007972174,0.01247586,0.00071021187,0.0012677851,0.000089995316,0.0012864473,0.60870135,0.10941568,0.017275902,0.24260505,0.004633066],"study_design_scores_gemma":[0.001573597,0.00006304342,0.0013920676,0.00004043793,0.000024388759,0.000007969317,0.00029189006,0.9721344,0.019852726,0.000024047324,0.00436121,0.0002342323],"about_ca_topic_score_codex":0.00003955594,"about_ca_topic_score_gemma":0.0000056016274,"teacher_disagreement_score":0.39616722,"about_ca_system_score_codex":0.000014315282,"about_ca_system_score_gemma":0.000012381761,"threshold_uncertainty_score":0.539933},"labels":[],"label_agreement":null},{"id":"W4412130343","doi":"10.1109/gpecom65896.2025.11061856","title":"Optimizing Real-Time Data Analytics for Smart Grids via IoT Broker Extensions","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Analytics; Internet of Things; Data analysis; Smart grid; Distributed computing; Real-time computing; Computer security; Data science; Data mining; Engineering","score_opus":0.02422760964373635,"score_gpt":0.26503974463633484,"score_spread":0.2408121349925985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412130343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03921666,0.00088496495,0.8565523,0.0012186614,0.0031688462,0.0009008414,0.0002113247,0.0016377604,0.09620862],"genre_scores_gemma":[0.6280693,0.0017883001,0.32805485,0.001404158,0.0013012444,0.00008792295,0.00079223455,0.00017400397,0.03832802],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912465,0.000009743983,0.00021651121,0.00026594457,0.00009825443,0.00028490098],"domain_scores_gemma":[0.99891233,0.00019122062,0.000012851332,0.0007612839,0.000051013514,0.00007128655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017787432,0.0001358701,0.00018896253,0.00011049138,0.00012840205,0.000041037332,0.00041652462,0.00009583132,0.000098637145],"category_scores_gemma":[0.000072752475,0.000122070225,0.000055716366,0.00028075287,0.00004129215,0.000107776956,0.00018122743,0.000116961724,0.000055519155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042164847,0.00013455034,0.0005240553,0.0003973233,0.00038917703,0.000020332229,0.00029455774,0.21585743,0.059756767,0.006654376,0.7099021,0.006027185],"study_design_scores_gemma":[0.00021395963,0.000012708935,0.000390669,0.000045997785,0.00005698854,0.0000026972734,0.000050469313,0.9580597,0.0023897255,0.00022524633,0.038380824,0.00017100864],"about_ca_topic_score_codex":0.00005554684,"about_ca_topic_score_gemma":0.000080193575,"teacher_disagreement_score":0.7422023,"about_ca_system_score_codex":0.000034872894,"about_ca_system_score_gemma":0.000031406304,"threshold_uncertainty_score":0.49778792},"labels":[],"label_agreement":null},{"id":"W4412352705","doi":"10.1109/icjece.2025.3574344","title":"Approach Toward Simulation Modeling With Reinforced Offloading for Heterogeneous IoT Terminals Under a Novel STECN","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Internet of Things; Mod; Computer graphics (images); Physics; Humanities; Embedded system; Art; Artificial intelligence","score_opus":0.01234440766215923,"score_gpt":0.1963472016380785,"score_spread":0.1840027939759193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412352705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20160747,0.00064952526,0.79745257,0.00002024713,0.00014672212,0.00008477087,0.0000012395575,0.000020283867,0.000017198738],"genre_scores_gemma":[0.98752266,0.000008147364,0.0122294165,0.000053552612,0.00016110807,0.0000032327143,9.207336e-7,0.000013997099,0.0000069622547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993141,0.0000034058737,0.00023260438,0.00009818022,0.00007174109,0.00027994905],"domain_scores_gemma":[0.9995503,0.000083833416,0.000024024577,0.00005770543,0.00006996645,0.00021420492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007716114,0.00012945315,0.00020850988,0.0003224618,0.00006312748,0.00007227233,0.000111099755,0.00007058223,5.3696084e-7],"category_scores_gemma":[0.000014438583,0.00011259925,0.000053655152,0.00023225049,0.000010607862,0.00007451167,0.00000594596,0.00019132669,7.3464825e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009642927,0.000002313295,0.000015784648,0.00009079645,0.000057034293,0.0000069432776,0.00011274794,0.9971814,0.00031700492,0.0006864331,0.000009377996,0.0015105057],"study_design_scores_gemma":[0.0003547491,0.00009417118,0.00005657933,0.00011023773,0.000025063919,0.00011574363,0.0000069391554,0.9985009,0.00032301832,0.000027924109,0.0002506204,0.00013405348],"about_ca_topic_score_codex":0.000027855018,"about_ca_topic_score_gemma":0.000015616632,"teacher_disagreement_score":0.7859152,"about_ca_system_score_codex":0.00009376162,"about_ca_system_score_gemma":0.00010445842,"threshold_uncertainty_score":0.4591664},"labels":[],"label_agreement":null},{"id":"W4412375749","doi":"10.1109/icjece.2025.3572410","title":"A Novel IoT-Enabled System for Real-Time Monitoring Home Appliances Using Petri Nets","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Internet of Things; Computer science; Humanities; Real-time computing; Embedded system; Art","score_opus":0.006434373047756239,"score_gpt":0.186437613481799,"score_spread":0.18000324043404275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412375749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5543899,0.003185916,0.4404301,0.00002538835,0.00171273,0.0001296684,0.000004184503,0.00006277206,0.00005933077],"genre_scores_gemma":[0.9862394,0.000050312417,0.01297432,0.000008000496,0.0006898259,0.0000036153301,3.913981e-7,0.000018490819,0.000015698271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991326,0.000005177741,0.0002831144,0.000111496396,0.00008015238,0.00038746052],"domain_scores_gemma":[0.9993871,0.00012935398,0.000035293644,0.00006936273,0.000071952316,0.0003069674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012049925,0.00014777019,0.00028478657,0.00040751713,0.00010111452,0.00009535127,0.00017114151,0.00008322128,7.7599907e-7],"category_scores_gemma":[0.000016181957,0.00014378614,0.00007317605,0.00042591052,0.0000135554155,0.00008370252,0.000009163766,0.0002102014,4.3043227e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014861972,0.000009871112,0.0013093536,0.0005776502,0.00019233213,0.000082795,0.00015934817,0.9542274,0.03506815,0.0012454451,0.0003640059,0.0067487885],"study_design_scores_gemma":[0.0003982568,0.00005600577,0.0021381339,0.00044971006,0.000031311825,0.00018972949,0.000009932333,0.9926619,0.002089736,0.000014045336,0.001781227,0.00017999223],"about_ca_topic_score_codex":0.00014131017,"about_ca_topic_score_gemma":0.000017429365,"teacher_disagreement_score":0.43184942,"about_ca_system_score_codex":0.00022533826,"about_ca_system_score_gemma":0.0001546081,"threshold_uncertainty_score":0.5863429},"labels":[],"label_agreement":null},{"id":"W4412446519","doi":"10.1109/med64031.2025.11073356","title":"Replay Attack Detection using Switching Multi-sine Watermarking","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Digital watermarking; Computer science; Replay attack; Sine; Computer security; Computer vision; Authentication (law); Mathematics","score_opus":0.0205178160171877,"score_gpt":0.26998372399809,"score_spread":0.24946590798090232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412446519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7170987,0.000120543846,0.27915332,0.000016711796,0.0010460353,0.00006191749,2.5327773e-7,0.00030724535,0.0021952929],"genre_scores_gemma":[0.99675804,0.000019857385,0.002807866,0.00005639434,0.0000808764,0.0000024621602,7.111689e-7,0.0000110550445,0.00026271355],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994253,0.000012765355,0.00015820494,0.00014245263,0.00006791152,0.0001933825],"domain_scores_gemma":[0.99976087,0.00002675418,0.000011004216,0.00015536764,0.000017102077,0.000028934055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011063226,0.00009972738,0.000097707045,0.00011193832,0.00013851798,0.000045075536,0.000085170555,0.000068609195,0.000020564392],"category_scores_gemma":[0.000020143289,0.00008862815,0.00003835711,0.00020782652,0.00001131223,0.00015248505,0.00003564258,0.00015498493,0.000013831533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000120789,0.000026892341,0.004399849,0.00021450991,0.00005752367,0.000014877267,0.00060866226,0.26940754,0.7068476,0.00007075487,0.00018197659,0.018157696],"study_design_scores_gemma":[0.00017338734,0.0000033942686,0.0024573214,0.00006714742,0.000009157011,0.000009477817,0.000060356353,0.8543031,0.13977936,0.000013126083,0.0030118038,0.00011233257],"about_ca_topic_score_codex":0.000063284664,"about_ca_topic_score_gemma":0.00014988502,"teacher_disagreement_score":0.5848956,"about_ca_system_score_codex":0.0000648035,"about_ca_system_score_gemma":0.000007386047,"threshold_uncertainty_score":0.3614151},"labels":[],"label_agreement":null},{"id":"W4412453539","doi":"10.1016/j.apenergy.2025.126430","title":"Enhancing smart grid security in smart cities: A review of traditional approaches and emerging technologies","year":2025,"lang":"en","type":"review","venue":"Applied Energy","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Smart grid; Computer security; Computer science; Smart city; Business; Telecommunications; Internet of Things; Engineering; Electrical engineering","score_opus":0.024669594477586484,"score_gpt":0.22984694698040442,"score_spread":0.20517735250281793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412453539","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008004537,0.9895535,0.00029350072,0.000017842138,0.0003066492,0.00030881035,0.000056290828,0.00024729953,0.009208107],"genre_scores_gemma":[0.00033006276,0.99853855,0.00026318207,0.000027026666,0.00008814898,0.0005416953,0.00015993268,0.000032334752,0.000019040033],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820006,0.000042828262,0.00080541935,0.0004128873,0.00021079382,0.0003280112],"domain_scores_gemma":[0.9991148,0.000352497,0.00013099778,0.00034951247,0.000014377981,0.00003779513],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002900288,0.00043868597,0.001617205,0.00043531889,0.00005061744,0.000015063815,0.0003489613,0.00038805028,0.000015599133],"category_scores_gemma":[0.00005779835,0.0004065617,0.00019813207,0.00078557525,0.00016138925,0.000059414047,0.00013518873,0.00048265443,0.0000015470032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001687212,0.00004893922,0.0000013695253,0.46019164,0.0001311992,0.000007873453,0.00013125433,0.00007644357,0.0000022628258,0.044464998,0.0011497877,0.49379256],"study_design_scores_gemma":[0.000101428675,0.000012008052,0.0000011472157,0.119992875,0.00017260227,0.000017780323,0.00016053003,0.00009838026,0.00014777378,0.0018376793,0.8769648,0.00049297005],"about_ca_topic_score_codex":0.000025245443,"about_ca_topic_score_gemma":0.00009360205,"teacher_disagreement_score":0.87581503,"about_ca_system_score_codex":0.00008583109,"about_ca_system_score_gemma":0.000114571136,"threshold_uncertainty_score":0.99983865},"labels":[],"label_agreement":null},{"id":"W4412494784","doi":"10.1016/j.compchemeng.2025.109278","title":"A deep learning framework for cyberattack detection and classification in Industrial Control Systems","year":2025,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Industrial control system; Computer science; Deep learning; Artificial intelligence; Control (management); Machine learning","score_opus":0.009636274749605435,"score_gpt":0.21059107193660237,"score_spread":0.20095479718699694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412494784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22462325,0.00049501087,0.77343917,0.000022263765,0.001004174,0.00020917316,5.487218e-7,0.00018758226,0.000018822579],"genre_scores_gemma":[0.99744934,0.000017836013,0.0021961038,0.000009360628,0.00023939616,0.0000690169,0.0000028511124,0.000013875042,0.0000022058996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993726,0.000009185924,0.00019649771,0.00016770976,0.000056000565,0.00019800529],"domain_scores_gemma":[0.9994906,0.00035327126,0.00001565406,0.00007784333,0.000016056123,0.000046579535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009563355,0.00012001811,0.00017630965,0.00011592474,0.000029721134,0.000055445504,0.000079697624,0.00021142972,3.0394983e-7],"category_scores_gemma":[0.00014051849,0.00013604712,0.000030503534,0.00021899896,0.000015283586,0.0000668957,0.000016307347,0.00040484476,7.5950186e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014483435,0.000006723646,0.00021262698,0.00016250607,0.000022282024,8.646845e-7,0.00010740711,0.94382733,0.04769861,0.0014133324,0.000020625715,0.0065132314],"study_design_scores_gemma":[0.0005916786,0.000010101876,0.00042858862,0.00023145063,0.000008561776,0.0000025234306,0.000021815806,0.99417055,0.0033908628,0.000039763436,0.0009786644,0.00012544054],"about_ca_topic_score_codex":0.000002350891,"about_ca_topic_score_gemma":4.951698e-7,"teacher_disagreement_score":0.77282614,"about_ca_system_score_codex":0.00009734799,"about_ca_system_score_gemma":0.0000055254227,"threshold_uncertainty_score":0.55478406},"labels":[],"label_agreement":null},{"id":"W4412578629","doi":"10.1002/cjce.70021","title":"Optimal defence strategy for chemical industry park cyber–physical systems: An improved logit dynamic evolutionary game‐theoretic method","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Logit; Game theory; Cyber-physical system; Logistic regression; Computer science; Operations research; Industrial organization; Economics; Engineering; Microeconomics; Machine learning","score_opus":0.007166375424858423,"score_gpt":0.23397157715317574,"score_spread":0.2268052017283173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412578629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9482317,0.0013094547,0.04913517,0.00018855931,0.00070574146,0.00023104709,0.000034531233,0.000066938475,0.000096876094],"genre_scores_gemma":[0.99687874,0.0000039891747,0.002678667,0.000024356772,0.0003431595,0.000020860563,0.000005870219,0.00003126143,0.00001309587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987363,0.000027665757,0.0003956723,0.00016833238,0.00015302133,0.00051901495],"domain_scores_gemma":[0.9988091,0.00030832892,0.000060215083,0.00023292207,0.00012311987,0.0004663184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212949,0.00023418132,0.00034637857,0.00014876347,0.00006778571,0.0000887288,0.0005983099,0.0003216656,0.0000061383807],"category_scores_gemma":[0.00023421618,0.00019423448,0.00015272743,0.00028330056,0.00014556502,0.00016608844,0.000020471967,0.0011672226,0.0000011027872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020802749,0.0000133958365,0.000011304785,0.00016316751,0.000087346096,0.000015783886,0.00022195176,0.88674295,0.108578905,0.0035986959,0.00018911043,0.00035660912],"study_design_scores_gemma":[0.0002974436,0.000042517197,0.000039007464,0.00018686279,0.000069971924,0.00017618344,0.00009324585,0.9684349,0.029401047,0.00076020084,0.0002711978,0.00022746553],"about_ca_topic_score_codex":0.00012862476,"about_ca_topic_score_gemma":0.000023405402,"teacher_disagreement_score":0.08169193,"about_ca_system_score_codex":0.00044726164,"about_ca_system_score_gemma":0.0004497565,"threshold_uncertainty_score":0.79206526},"labels":[],"label_agreement":null},{"id":"W4412623336","doi":"10.1109/tii.2025.3584527","title":"Resilient Cyber-Physical System Honeypots for Cyberattacker Engagement","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Honeypot; Cyber-physical system; Computer science; Computer security; Operating system","score_opus":0.029145811515408442,"score_gpt":0.2601525701584512,"score_spread":0.2310067586430428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412623336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19828768,0.000017275199,0.7841515,0.00011961342,0.007935813,0.0012867837,0.00016769808,0.00060750626,0.0074261255],"genre_scores_gemma":[0.998389,0.000015094377,0.0005996846,0.000080367136,0.0002521187,0.00022208833,0.0000073535202,0.00001742206,0.00041684046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880284,0.000030391962,0.0005165604,0.00010392613,0.00022786288,0.00031844655],"domain_scores_gemma":[0.9992532,0.0002541346,0.00004504711,0.00029524093,0.000061268314,0.00009107307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022687405,0.00021360297,0.0002605387,0.00022910658,0.00030782944,0.00008684581,0.00019812417,0.0002197837,0.000009912802],"category_scores_gemma":[0.000011647902,0.0002003849,0.00015566676,0.0003917676,0.00005128043,0.00022655005,0.0000019133738,0.0005621053,0.000069352885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012057174,0.00017327289,0.0000032598557,0.0004550469,0.00023661276,0.0000015208701,0.0027143431,0.950566,0.00035692667,0.0024523358,0.027311012,0.015609091],"study_design_scores_gemma":[0.0038194174,0.00029685444,0.000012593252,0.0006940514,0.00025680225,0.000006759736,0.004559952,0.7541277,0.1585794,0.00007820681,0.07690607,0.0006622133],"about_ca_topic_score_codex":0.000006875428,"about_ca_topic_score_gemma":0.0000068056183,"teacher_disagreement_score":0.80010134,"about_ca_system_score_codex":0.00024599585,"about_ca_system_score_gemma":0.000076916425,"threshold_uncertainty_score":0.8171459},"labels":[],"label_agreement":null},{"id":"W4412707292","doi":"10.1016/j.ejcon.2025.101316","title":"Cyber–physical security of vehicles: Zero dynamics attacks against vehicle’s lateral dynamics","year":2025,"lang":"en","type":"article","venue":"European Journal of Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Dynamics (music); Cyber-physical system; Vehicle dynamics; Zero (linguistics); Computer security; Computer science; Engineering; Physics; Aerospace engineering","score_opus":0.002979480563099723,"score_gpt":0.19878964310165564,"score_spread":0.19581016253855593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412707292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979694,0.00038924464,0.011064343,0.0002848452,0.00090024975,0.00009451318,0.000039143146,0.000047983816,0.007485678],"genre_scores_gemma":[0.999352,0.00009489349,0.000058780253,0.00014775191,0.00024502535,4.3656505e-7,0.000003630024,0.000029914901,0.00006757509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849737,0.00022784238,0.0006249264,0.00011894384,0.00026358274,0.0002673611],"domain_scores_gemma":[0.9991482,0.00014934264,0.0001860911,0.00022169223,0.0001787302,0.00011593647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005092859,0.0001941534,0.00044795204,0.00016345957,0.000058844005,0.000043433578,0.00045701303,0.000045878667,0.0000038305834],"category_scores_gemma":[0.00007041548,0.00017199,0.00023728269,0.0002123113,0.00012191808,0.00018214593,0.00004461009,0.0005971472,0.000012786889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00240415,0.0022928612,0.07989291,0.002149014,0.0044065695,0.0036491237,0.020555787,0.5935915,0.051172275,0.030961873,0.020891767,0.18803215],"study_design_scores_gemma":[0.003895909,0.0002725706,0.028258495,0.00046523468,0.0001361416,0.00003549937,0.0001778745,0.96232057,0.0010016646,0.0008500007,0.0022578794,0.00032818696],"about_ca_topic_score_codex":0.0000017398455,"about_ca_topic_score_gemma":0.000009547712,"teacher_disagreement_score":0.36872903,"about_ca_system_score_codex":0.00012155289,"about_ca_system_score_gemma":0.000045353427,"threshold_uncertainty_score":0.70135486},"labels":[],"label_agreement":null},{"id":"W4412871247","doi":"10.1109/tsg.2025.3590518","title":"HMM-Based Feature Extraction and Machine Learning Methods for Event Detection and Classification in Microgrids","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Feature extraction; Hidden Markov model; Artificial intelligence; Computer science; Pattern recognition (psychology); Event (particle physics); Feature (linguistics); Machine learning; Support vector machine; Speech recognition","score_opus":0.014795895978528107,"score_gpt":0.2963237233850133,"score_spread":0.2815278274064852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412871247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076216474,0.00071473996,0.92075217,0.0002846499,0.001481376,0.0003409093,0.000012396788,0.00014444866,0.00005281241],"genre_scores_gemma":[0.9914772,0.00047652307,0.0076361746,0.000044966982,0.000048992955,0.00015952019,0.0000068902505,0.000017321325,0.00013243339],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992725,0.000084505366,0.00017801161,0.00024031452,0.00005950428,0.00016512869],"domain_scores_gemma":[0.9995343,0.00026109949,0.000025159516,0.00010716021,0.000027676422,0.000044597928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031360344,0.00014672053,0.00014876612,0.00031637866,0.0002049332,0.000039518753,0.0000416726,0.00016343803,0.000004116105],"category_scores_gemma":[0.000012945375,0.00015206642,0.000052776337,0.00029817817,0.0000417568,0.00012699183,6.2379024e-7,0.0004438777,0.0000012648695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022257183,0.00012226266,0.0004673809,0.00033177712,0.000047675814,0.0000010449967,0.00023842613,0.14037494,0.32253218,0.000020497233,0.00008113299,0.53556013],"study_design_scores_gemma":[0.000802198,0.00009911188,0.009183686,0.00008639136,0.00004831188,0.000009305639,0.00008463505,0.73735195,0.22982627,0.000045315293,0.022283562,0.00017928322],"about_ca_topic_score_codex":0.000030085208,"about_ca_topic_score_gemma":0.000403618,"teacher_disagreement_score":0.91526073,"about_ca_system_score_codex":0.000090304726,"about_ca_system_score_gemma":0.000016281532,"threshold_uncertainty_score":0.6201089},"labels":[],"label_agreement":null},{"id":"W4412992820","doi":"10.1016/bs.mcps.2025.06.002","title":"Safe and reliable AI in modern energy systems","year":2025,"lang":"en","type":"book-chapter","venue":"Methods in chemical process safety","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Reliability engineering; Engineering","score_opus":0.011970981247699766,"score_gpt":0.29564657844197106,"score_spread":0.2836755971942713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412992820","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050574174,0.024925118,0.10816816,0.000082174636,0.00084247626,0.00029301574,0.000027252088,0.00019273869,0.8654185],"genre_scores_gemma":[0.11989765,0.059687268,0.39260617,0.001870706,0.0032357683,0.0008973155,0.00039269752,0.0011162033,0.42029622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998292,0.000035626494,0.0006302764,0.0005048658,0.00019706265,0.00034012515],"domain_scores_gemma":[0.9991727,0.00035272512,0.00005329797,0.00028922257,0.00004444248,0.000087645465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005158663,0.00037492585,0.00071753963,0.00022066139,0.000026867523,0.000026942578,0.00030321244,0.0008068395,0.000016967835],"category_scores_gemma":[0.00010367246,0.00037830224,0.000059380636,0.000132844,0.00010683607,0.00008877598,0.0001189267,0.0010255189,0.0000013706003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064428,0.0001977079,0.00026233625,0.03465947,0.00035461303,0.00028982258,0.0024042628,0.31871673,0.0139361285,0.17243,0.005959424,0.45014524],"study_design_scores_gemma":[0.0008206542,0.000016614618,0.000007786399,0.0042093014,0.00004768601,0.000024425395,0.000038957514,0.59768504,0.010276463,0.1776249,0.20799656,0.0012516506],"about_ca_topic_score_codex":0.00004426369,"about_ca_topic_score_gemma":0.00001846898,"teacher_disagreement_score":0.44889358,"about_ca_system_score_codex":0.0002071682,"about_ca_system_score_gemma":0.00007060831,"threshold_uncertainty_score":0.9998669},"labels":[],"label_agreement":null},{"id":"W4413026014","doi":"10.1016/j.egyr.2025.06.051","title":"Large Language Models Integration in Smart Grids","year":2025,"lang":"en","type":"article","venue":"Energy Reports","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.003931382287908359,"score_gpt":0.2086141986376768,"score_spread":0.20468281634976845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413026014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8468811,0.002004878,0.056539517,0.00006519085,0.0019059959,0.00005992291,0.0000018406756,0.00030765156,0.092233896],"genre_scores_gemma":[0.99817187,0.0000723253,0.00008679961,0.000077994526,0.000049796323,0.000018005792,0.00001853602,0.00000759406,0.001497091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994153,0.000012222983,0.00020399611,0.00013252674,0.00008038673,0.00015557255],"domain_scores_gemma":[0.99973756,0.000013686018,0.000016193148,0.00019665936,0.000011856123,0.000024052075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251463,0.00007935495,0.00010097954,0.00011935542,0.000024929028,0.000015142725,0.000047426816,0.000073210125,0.000019075473],"category_scores_gemma":[0.000020199303,0.00007459789,0.0000310134,0.00024010307,0.000010220562,0.000118794014,0.000021088446,0.00009829596,0.0000015019126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027703443,0.00027308564,0.0112953,0.00016338195,0.00008029223,0.0039739897,0.008861939,0.74710464,0.01925918,0.1532748,0.026603548,0.029082157],"study_design_scores_gemma":[0.0005267494,0.000031112337,0.008419313,0.00043569287,0.000020168653,0.00016951996,0.0013050622,0.79385525,0.10059525,0.02110102,0.07290229,0.00063855073],"about_ca_topic_score_codex":0.00014490304,"about_ca_topic_score_gemma":0.0015432821,"teacher_disagreement_score":0.15129076,"about_ca_system_score_codex":0.000038896287,"about_ca_system_score_gemma":0.000017609944,"threshold_uncertainty_score":0.30420136},"labels":[],"label_agreement":null},{"id":"W4413074432","doi":"10.1109/tim.2025.3589705","title":"A Model-Independent Trojan Attack on Deep Learning-Based FDIA Detection in Smart Grid Protection Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; York University; University of Toronto","funders":"","keywords":"Smart grid; Computer science; Trojan; Power-system protection; Grid; Computer security; Artificial intelligence; Electric power system; Engineering; Electrical engineering; Mathematics","score_opus":0.034279351769527594,"score_gpt":0.24066478503802255,"score_spread":0.20638543326849496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413074432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33213168,0.00004875611,0.66469014,0.00007049995,0.001775794,0.0007197351,0.0000036039835,0.00017455271,0.00038520107],"genre_scores_gemma":[0.99931365,0.000070472866,0.00004261074,0.000057213405,0.000022251403,0.00043061838,0.0000021873066,0.00001491906,0.00004606282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876225,0.00008880839,0.00029165804,0.00025294346,0.0004103367,0.00019398791],"domain_scores_gemma":[0.9997142,0.000014965268,0.000036164234,0.00011649808,0.000056502155,0.00006167658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029963802,0.00017875245,0.00014521404,0.00042888685,0.00021324403,0.00006283643,0.000050637358,0.000110430345,0.000008277468],"category_scores_gemma":[0.0000048143565,0.00018671378,0.000052145497,0.00029678518,0.000024657556,0.00012701354,4.870954e-7,0.00038135343,0.000010820784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012614924,0.00011152216,0.000043390486,0.0001255133,0.000028392324,7.059038e-7,0.00022578203,0.956316,0.011327006,0.000013561895,0.00000689014,0.031675097],"study_design_scores_gemma":[0.0014206144,0.00020063118,0.0010856559,0.00020961188,0.000026578213,0.0000020062892,0.00031343036,0.89237565,0.10385489,0.000008946462,0.00033630495,0.00016567299],"about_ca_topic_score_codex":0.00009779909,"about_ca_topic_score_gemma":0.0014328649,"teacher_disagreement_score":0.66718197,"about_ca_system_score_codex":0.00059409917,"about_ca_system_score_gemma":0.000038273298,"threshold_uncertainty_score":0.76139665},"labels":[],"label_agreement":null},{"id":"W4413107742","doi":"10.1038/s41598-025-15225-z","title":"Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Access control; Computer network; Network topology; Distributed computing; Algorithm; Data mining","score_opus":0.00498285418679611,"score_gpt":0.23040541323984856,"score_spread":0.22542255905305245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413107742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6427332,0.0020699324,0.3480116,0.0001005984,0.0059494507,0.0004848639,0.000008226501,0.00014257913,0.00049953297],"genre_scores_gemma":[0.9992557,0.000024054436,0.00046898407,0.000016808219,0.000028375689,0.000017102162,0.000010182454,0.000009754617,0.00016901399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863464,0.000016725395,0.00044987304,0.00040043585,0.00018346774,0.00031487603],"domain_scores_gemma":[0.9993404,0.00006698578,0.00005194334,0.0003736133,0.00007888883,0.00008814512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048851786,0.00013627701,0.00025915037,0.000173278,0.000081707694,0.00017282425,0.00015880927,0.0001306083,0.0000064670967],"category_scores_gemma":[0.00011236669,0.00012464392,0.000048385766,0.00055620045,0.0003025235,0.00025382056,0.00007697226,0.00021878982,2.9659356e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002953272,0.00018982378,0.009512796,0.00051062455,0.00008810473,0.00036782,0.00079407915,0.93104446,0.02741816,0.00053371844,0.002851696,0.026659215],"study_design_scores_gemma":[0.0002439298,0.0000058635487,0.0011694413,0.00010946967,0.000015264515,0.000020817808,0.000028557844,0.9919488,0.0034535609,0.002693112,0.00018899121,0.00012222287],"about_ca_topic_score_codex":0.000012756446,"about_ca_topic_score_gemma":0.000043137192,"teacher_disagreement_score":0.3565225,"about_ca_system_score_codex":0.000032796914,"about_ca_system_score_gemma":0.00007363903,"threshold_uncertainty_score":0.50828314},"labels":[],"label_agreement":null},{"id":"W4413259940","doi":"10.2139/ssrn.5383666","title":"A Data-Driven Anomaly Detection Framework for Power Generation Systems in Bangladesh: Leveraging Large Language Models, Autoencoders, and Optimization Techniques","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Dalhousie University","funders":"","keywords":"Anomaly detection; Computer science; Anomaly (physics); Artificial intelligence; Power (physics); Machine learning; Data mining","score_opus":0.015577693689301345,"score_gpt":0.2551581337419298,"score_spread":0.23958044005262846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413259940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01630635,0.015974905,0.9659038,0.00005699054,0.00084672833,0.0005656484,0.00011503234,0.00018560725,0.000044939603],"genre_scores_gemma":[0.9639343,0.0099161295,0.025160436,0.000021168482,0.00056416384,0.00008385438,0.00024190341,0.00004094118,0.000037114823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980366,0.000082285434,0.0003815068,0.00037364475,0.00016807728,0.00095783465],"domain_scores_gemma":[0.9993908,0.000048893497,0.00011934727,0.00033598702,0.00006173124,0.00004325763],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010992412,0.00024508595,0.00028781666,0.00035042843,0.00015722586,0.00020130297,0.00035173478,0.00043975742,0.0000017334346],"category_scores_gemma":[0.000053467957,0.00025763438,0.00005532196,0.00015394375,0.000015143998,0.00037017127,0.00016780077,0.0024554252,1.9884783e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012476511,0.000017585888,0.000024775687,0.00013103537,0.000080716345,0.0000022910879,0.0007398841,0.98953944,0.00014711606,0.008076131,0.00003376539,0.0011947895],"study_design_scores_gemma":[0.00020709269,0.00004019567,0.0000058681912,0.00036272482,0.000041478073,0.000058445425,0.0009246663,0.989066,0.00013740076,0.008750801,0.00015993466,0.0002453755],"about_ca_topic_score_codex":0.00009682927,"about_ca_topic_score_gemma":0.0013458997,"teacher_disagreement_score":0.94762796,"about_ca_system_score_codex":0.0008861204,"about_ca_system_score_gemma":0.0005047185,"threshold_uncertainty_score":0.9999876},"labels":[],"label_agreement":null},{"id":"W4413442609","doi":"10.1109/icma65362.2025.11120768","title":"A Deep Reinforcement Learning Based Dynamic False Data Injection Detection in Load Prediction","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Machine learning","score_opus":0.006651209855762804,"score_gpt":0.2215960827553529,"score_spread":0.21494487289959008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413442609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10733309,0.00014298149,0.8879133,0.000025814792,0.00079014536,0.00017506444,6.826049e-7,0.00039794203,0.0032209968],"genre_scores_gemma":[0.9994786,0.000057039942,0.00011210035,0.00002512901,0.000021480002,0.00001723918,0.000037151127,0.0000063238544,0.00024492864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993555,0.000023142205,0.00018107473,0.00017467464,0.00012368897,0.00014194069],"domain_scores_gemma":[0.9996813,0.000030537587,0.000013420846,0.00023428207,0.000019913534,0.00002053285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021605038,0.00008179403,0.000073662006,0.00018724868,0.00006801327,0.000025092491,0.000117599644,0.000079823854,0.00002907414],"category_scores_gemma":[0.000070718685,0.00008418802,0.000015654767,0.00040564375,0.000012914228,0.00023934229,0.00004262025,0.00022743156,0.000013775856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015270523,0.00000880362,0.0008352204,0.00005191728,0.0000069388993,8.606712e-7,0.0000739253,0.9865089,0.0025193952,0.000013313638,0.000044868124,0.009920583],"study_design_scores_gemma":[0.00031962036,0.00003450988,0.005535052,0.00004759935,0.0000071296963,0.0000013996225,0.00013650823,0.9899704,0.0024804145,0.000021473712,0.0013742396,0.00007168285],"about_ca_topic_score_codex":0.00017948668,"about_ca_topic_score_gemma":0.003491736,"teacher_disagreement_score":0.8921455,"about_ca_system_score_codex":0.00028167668,"about_ca_system_score_gemma":0.000028009454,"threshold_uncertainty_score":0.34330878},"labels":[],"label_agreement":null},{"id":"W4413458719","doi":"10.1002/cpe.70238","title":"Cloudhive: A Cloud‐Based Framework for Smart Grid Co‐Simulation, Data, and Communication","year":2025,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"Atlantic Canada Opportunities Agency; Chinese Academy of Sciences","keywords":"Computer science; Cloud computing; Smart grid; Distributed computing; Grid; Operating system; Electrical engineering; Geology","score_opus":0.03150845662676002,"score_gpt":0.3795792603001423,"score_spread":0.3480708036733823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413458719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1286082,0.009052092,0.86000574,0.0007585391,0.0006805613,0.00032844147,0.000039852097,0.00010178047,0.00042477003],"genre_scores_gemma":[0.98735774,0.001264001,0.010744725,0.00043287646,0.000057316127,0.000042777076,0.000088862405,0.0000056635267,0.0000060703737],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992944,0.000058567366,0.00020452111,0.00024289699,0.00007937062,0.0001202154],"domain_scores_gemma":[0.9977248,0.0018492404,0.000059735918,0.0002245324,0.000088783985,0.000052950825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021934437,0.000110202236,0.000121604135,0.00005126649,0.00033237244,0.00013226893,0.00013887371,0.00007538655,0.000003305801],"category_scores_gemma":[0.0005081443,0.00011461675,0.00001015631,0.00014730668,0.00017316773,0.00065179355,0.00006198227,0.00015037367,0.0000010370626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008022311,0.00049189123,0.016059002,0.0025074906,0.0002760152,0.000010014505,0.089141086,0.12879877,0.0005061707,0.2156212,0.01522971,0.53055644],"study_design_scores_gemma":[0.0004666151,0.000040327115,0.0013606852,0.00013671181,0.000034287987,0.000004949935,0.0027308182,0.9176627,0.00013070782,0.0042077075,0.073054686,0.00016980083],"about_ca_topic_score_codex":0.0000094089955,"about_ca_topic_score_gemma":0.0000026060904,"teacher_disagreement_score":0.8587495,"about_ca_system_score_codex":0.000008212889,"about_ca_system_score_gemma":0.00003110336,"threshold_uncertainty_score":0.46739352},"labels":[],"label_agreement":null},{"id":"W4413556097","doi":"10.1109/isie62713.2025.11124749","title":"Deep Learning Based Cybersecurity Enhancement Strategy in Microgrids","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer security; Computer science; Deep learning; Artificial intelligence","score_opus":0.004575803428184192,"score_gpt":0.217853709325664,"score_spread":0.2132779058974798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413556097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.835654,0.0019261519,0.06689085,0.00012173968,0.0005436555,0.00021450101,5.561519e-7,0.00036239525,0.09428612],"genre_scores_gemma":[0.99902385,0.00011398713,0.00031694598,0.00008593286,0.000020001675,0.000014598945,0.000004024316,0.0000057540437,0.00041487644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993775,0.00002310499,0.00015933262,0.00013736113,0.00007594792,0.00022677172],"domain_scores_gemma":[0.99980026,0.000043303622,0.0000073525075,0.00010449132,0.000012934586,0.000031655207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165551,0.00009861195,0.00010767531,0.00011616408,0.000040703217,0.000026388261,0.00010751443,0.00006743108,0.00025709617],"category_scores_gemma":[0.000012759761,0.00009693859,0.000032423388,0.00029293745,0.000026476104,0.00006025058,0.00001827911,0.00024319685,0.000036908463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015680866,0.00013571723,0.009406613,0.00022104873,0.000027023469,0.000023566048,0.00047145804,0.9522312,0.013928585,0.0027566957,0.0011641289,0.019618275],"study_design_scores_gemma":[0.0005780522,0.00003771316,0.010565246,0.00008390528,0.0000064034834,6.419049e-7,0.00053330563,0.90262085,0.06999194,0.00020338084,0.015137419,0.00024114165],"about_ca_topic_score_codex":0.0000667825,"about_ca_topic_score_gemma":0.000511549,"teacher_disagreement_score":0.16336985,"about_ca_system_score_codex":0.0000626824,"about_ca_system_score_gemma":0.00002186623,"threshold_uncertainty_score":0.39530408},"labels":[],"label_agreement":null},{"id":"W4413556488","doi":"10.1109/isie62713.2025.11124662","title":"A Novel Optimal Placement of Multi-Type Sensors for Smart Grids Observability Using an Enhanced Graph Theory Search Algorithm","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Observability; Graph theory; Computer science; Graph; Algorithm; Theoretical computer science; Mathematics","score_opus":0.03916353225655712,"score_gpt":0.30013130741864025,"score_spread":0.26096777516208314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413556488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50652707,0.000054344484,0.49258456,0.0000053025547,0.00034908688,0.00028774914,0.00001974737,0.00007366749,0.000098502285],"genre_scores_gemma":[0.8168438,0.00001664196,0.1828569,0.00002434716,0.000040720322,0.000018209363,0.000011793337,0.000017168044,0.00017039677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894184,0.000044990687,0.000285073,0.00026284473,0.00015172499,0.00031353586],"domain_scores_gemma":[0.9992548,0.00019377757,0.000018789218,0.0003047105,0.00015625717,0.00007163371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051515904,0.00015935877,0.0002274478,0.000113115,0.000083132545,0.000017900536,0.00018756402,0.000106441854,0.00003310977],"category_scores_gemma":[0.000057982845,0.00014569495,0.0000930227,0.0003512212,0.000116429816,0.0001269195,0.00005450574,0.00013400578,0.0000011707409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121304765,0.00042806313,0.00021421598,0.00031883738,0.00010034895,5.374543e-7,0.0008702282,0.57455635,0.41971487,0.0008739739,0.000022429596,0.0027788475],"study_design_scores_gemma":[0.0005943019,0.0001012742,0.00096058263,0.00003435581,0.000019374005,9.2288946e-7,0.00079085317,0.6552062,0.34204224,0.000058867055,0.0000561711,0.00013485836],"about_ca_topic_score_codex":0.0000746136,"about_ca_topic_score_gemma":0.00004161084,"teacher_disagreement_score":0.3103168,"about_ca_system_score_codex":0.000067300185,"about_ca_system_score_gemma":0.000053466105,"threshold_uncertainty_score":0.59412676},"labels":[],"label_agreement":null},{"id":"W4413556564","doi":"10.1109/isie62713.2025.11124696","title":"Distributed Resilient Secondary Control of Smart Grid Under FDI Attacks","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer security; Computer science; Smart grid; Control (management); Distributed computing; Computer network; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.0045432416031369995,"score_gpt":0.21294847541763265,"score_spread":0.20840523381449566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413556564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5906689,0.0030447722,0.31789967,0.0013869097,0.0044231117,0.0006093853,0.00042663238,0.0007812983,0.08075932],"genre_scores_gemma":[0.9990283,0.000053058313,0.00007006997,0.00021062118,0.000048943006,0.000008920079,0.000020911419,0.000008046201,0.0005511305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924326,0.000021217054,0.00025607576,0.0001431142,0.00011953755,0.00021677518],"domain_scores_gemma":[0.99952275,0.0001126979,0.00001800386,0.00024786356,0.000044740053,0.00005393829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010113333,0.0001197155,0.00020484703,0.000077672245,0.000046396806,0.000013652435,0.00016583987,0.000092117385,0.0002516654],"category_scores_gemma":[0.000022800938,0.00010374066,0.000074574185,0.0002454302,0.00007856957,0.00006683559,0.000031077554,0.0001766388,0.000025697129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031942478,0.00043171068,0.029230028,0.0014844408,0.0009431728,0.00003768783,0.000511785,0.36809534,0.033708505,0.07990653,0.47922918,0.0061021727],"study_design_scores_gemma":[0.006793124,0.00026590674,0.26895437,0.00043698677,0.00020759061,0.000018121369,0.0012072764,0.17022204,0.21667746,0.004114907,0.32986158,0.0012406433],"about_ca_topic_score_codex":0.00002446811,"about_ca_topic_score_gemma":0.00009327127,"teacher_disagreement_score":0.40835938,"about_ca_system_score_codex":0.000040990293,"about_ca_system_score_gemma":0.00004350681,"threshold_uncertainty_score":0.42304215},"labels":[],"label_agreement":null},{"id":"W4413568225","doi":"10.64628/aam.xrdj55xfg","title":"Hidden in plain sight: The infrastructures that support artificial intelligence","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sight; Artificial intelligence; Computer science; Geology; Mining engineering; Physics; Optics","score_opus":0.023159013389948104,"score_gpt":0.2414675644485748,"score_spread":0.2183085510586267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413568225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9491914,0.0013965898,0.022371035,0.0008627651,0.006802331,0.000687433,0.00003719624,0.00045730633,0.01819393],"genre_scores_gemma":[0.998325,0.0003564624,0.00070271554,0.00010792584,0.00032136112,0.000037044803,0.000047877456,0.000026233853,0.00007536518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860126,0.000056471148,0.00035897197,0.00035137095,0.00029591488,0.000336019],"domain_scores_gemma":[0.9992087,0.00013572676,0.000037763253,0.00053099036,0.000024372195,0.0000624564],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022453064,0.00028658367,0.0002902478,0.000119492026,0.000059620368,0.0002000395,0.00067497126,0.00036055982,0.0014100149],"category_scores_gemma":[0.000047917074,0.00020154004,0.0001153611,0.00019073824,0.00011294653,0.000077316916,0.00048390584,0.0012309086,0.000040646304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028371733,0.00008861711,0.004783317,0.00080060697,0.00018503246,0.0005172747,0.02746931,0.8801048,0.0016124706,0.012139581,0.0076106465,0.06466002],"study_design_scores_gemma":[0.00021149707,0.00009201272,0.07905955,0.0010619382,0.0001280534,0.00019673629,0.0265465,0.37477714,0.36003348,0.14170454,0.012149345,0.004039221],"about_ca_topic_score_codex":0.00017810205,"about_ca_topic_score_gemma":0.002622721,"teacher_disagreement_score":0.50532764,"about_ca_system_score_codex":0.00007123881,"about_ca_system_score_gemma":0.00009961487,"threshold_uncertainty_score":0.99950284},"labels":[],"label_agreement":null},{"id":"W4413569770","doi":"10.64628/aam.9puxuty6r","title":"Texas electricity grid failure shows how microgrids offer hope for a better future","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Grid; Electricity; Microgrid; Environmental economics; Natural resource economics; Business; Computer science; Engineering; Economics; Electrical engineering; Geology","score_opus":0.007224585433243791,"score_gpt":0.19967861175835167,"score_spread":0.19245402632510789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413569770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.887435,0.010970467,0.06174929,0.014810844,0.017450737,0.0029075604,0.00058686314,0.0018112924,0.002277954],"genre_scores_gemma":[0.899681,0.0029100336,0.05420838,0.0037794146,0.030987283,0.00058848434,0.001850852,0.00046325263,0.0055313166],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805295,0.000040183993,0.0002801896,0.00069205515,0.00027969206,0.00065495376],"domain_scores_gemma":[0.9988753,0.000078833415,0.00005231238,0.00068444,0.00015677568,0.00015232136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015427083,0.00055992906,0.00060486683,0.00015344875,0.000086959975,0.00040826495,0.00059195596,0.000958693,0.00029076636],"category_scores_gemma":[0.000030179903,0.0004918763,0.0004646316,0.00023083179,0.000047610993,0.00013864144,0.00032812648,0.0014076071,0.00002291188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003582515,0.00015656765,0.0019397992,0.003091613,0.0007448202,0.0000829309,0.0008480666,0.0076325173,0.019073162,0.00017907703,0.95789725,0.008318359],"study_design_scores_gemma":[0.00084077014,0.00009593259,0.0047483947,0.000292912,0.00024431307,0.000073105046,0.00039925773,0.02069129,0.09819839,0.00022574032,0.8719819,0.0022079742],"about_ca_topic_score_codex":0.000020522517,"about_ca_topic_score_gemma":0.0004675366,"teacher_disagreement_score":0.08591534,"about_ca_system_score_codex":0.00011445366,"about_ca_system_score_gemma":0.00009994083,"threshold_uncertainty_score":0.9997533},"labels":[],"label_agreement":null},{"id":"W4413640444","doi":"10.1109/compsac65507.2025.00136","title":"oHIT - A framework for openHAB Interaction Threats Identification in IoT Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Identification (biology); Computer security; Internet of Things","score_opus":0.01617676246587932,"score_gpt":0.303091414783077,"score_spread":0.2869146523171977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413640444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38775578,0.0012664472,0.5942262,0.00029606425,0.005341323,0.0008134636,0.0000045808724,0.0002685664,0.010027602],"genre_scores_gemma":[0.9980536,0.00003660902,0.0005731463,0.000024968329,0.000060043567,0.00012051908,0.0000035148798,0.0000055618743,0.0011220124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995705,0.000009097365,0.00016858552,0.00010671788,0.0000450154,0.00010006989],"domain_scores_gemma":[0.9997124,0.00011730114,0.000012459466,0.00012520507,0.00001892883,0.000013723105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010725588,0.00005586285,0.00008227733,0.00010160038,0.00003085874,0.000060427876,0.0000897991,0.00007890032,0.000015621405],"category_scores_gemma":[0.00004657495,0.000052818446,0.000022828392,0.0001990067,0.0000075789712,0.000061383296,0.00001030924,0.0000969705,0.000031018135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008373141,0.00015557912,0.0036950181,0.0015867809,0.00010458272,0.0000038915505,0.0020300285,0.40920395,0.014571158,0.52841926,0.014048432,0.0260976],"study_design_scores_gemma":[0.00046881218,0.000025947174,0.013085449,0.0008954036,0.000020404495,0.0000037291738,0.0017988828,0.9250005,0.024233315,0.01864755,0.0155219585,0.0002980475],"about_ca_topic_score_codex":0.000039254537,"about_ca_topic_score_gemma":0.00008973776,"teacher_disagreement_score":0.61029786,"about_ca_system_score_codex":0.00006456768,"about_ca_system_score_gemma":0.0000076032693,"threshold_uncertainty_score":0.21538737},"labels":[],"label_agreement":null},{"id":"W4413680150","doi":"10.1109/compsac65507.2025.00231","title":"EVMx: An FPGA-Based Smart Contract Processing Unit","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Field-programmable gate array; Computer science; Unit (ring theory); Embedded system; Smart contract; Computer security; Psychology; Blockchain","score_opus":0.009982477340803753,"score_gpt":0.24459645311736333,"score_spread":0.23461397577655957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413680150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85400784,0.0008043677,0.048068646,0.00031764773,0.00072895485,0.00020871658,0.0000035586681,0.0012007965,0.09465947],"genre_scores_gemma":[0.9984863,0.00000861499,0.0005638702,0.00039697316,0.000045697492,0.000007909838,0.000005466891,0.000009432967,0.00047576468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994666,0.000013608226,0.00012121381,0.00012192212,0.000085648484,0.00019102661],"domain_scores_gemma":[0.9997051,0.00003905724,0.000008042236,0.00015573046,0.000033936314,0.000058168378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009049001,0.000097073535,0.000101308,0.00008258222,0.00008454748,0.0000581043,0.00013880513,0.00006823808,0.00011762341],"category_scores_gemma":[0.000017937373,0.00008520088,0.000026332567,0.0002469043,0.000034747973,0.00016422037,0.000008608139,0.0001344736,0.00002667974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018543133,0.0009278895,0.07780213,0.0034833655,0.00019897528,0.00014347667,0.002183833,0.47297862,0.06310325,0.019452715,0.017157912,0.3423824],"study_design_scores_gemma":[0.0006306418,0.000036477402,0.021073245,0.0001724811,0.000020814954,0.0000023394853,0.00015480307,0.8760435,0.062728204,0.00026141034,0.038569268,0.00030680865],"about_ca_topic_score_codex":0.00003503633,"about_ca_topic_score_gemma":0.00017294685,"teacher_disagreement_score":0.4030649,"about_ca_system_score_codex":0.000018192895,"about_ca_system_score_gemma":0.000058661255,"threshold_uncertainty_score":0.3474391},"labels":[],"label_agreement":null},{"id":"W4413824707","doi":"10.3390/fractalfract9090569","title":"Federated Learning Detection of Cyberattacks on Virtual Synchronous Machines Under Grid-Forming Control Using Physics-Informed LSTM","year":2025,"lang":"en","type":"article","venue":"Fractal and Fractional","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Grid; Control (management); Computer science; Computer security; Human–computer interaction; Artificial intelligence","score_opus":0.006657294995432238,"score_gpt":0.23270407823261646,"score_spread":0.22604678323718422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413824707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8681535,0.00012630984,0.12913114,0.00002767074,0.0009850566,0.00008882677,0.00001113107,0.0000886135,0.0013877124],"genre_scores_gemma":[0.9994232,0.000027239948,0.00004032873,0.00007235725,0.00033185107,0.000005810882,0.000015029741,0.000010594374,0.00007356266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993342,0.000018970935,0.00019992582,0.00013326944,0.00015061311,0.0001630334],"domain_scores_gemma":[0.99958926,0.00022184485,0.00005477033,0.000043198987,0.000050555627,0.000040363855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006200375,0.00014295553,0.00017184677,0.00009531697,0.00031988905,0.000045558823,0.00003503588,0.00010716672,0.00002591414],"category_scores_gemma":[0.000042618063,0.0001335877,0.000053149528,0.0001583731,0.000058531943,0.00031360306,0.000013331404,0.0003730912,0.00000596547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023631602,0.00009712984,0.003373748,0.00011427653,0.00021623039,0.0000043538676,0.00019239708,0.8127155,0.12713544,0.000779665,0.00007816548,0.05505683],"study_design_scores_gemma":[0.0008886914,0.00012680455,0.016984874,0.00011930696,0.000035480247,0.000023416354,0.0002657315,0.95621216,0.02344268,0.00020557179,0.001472455,0.00022285321],"about_ca_topic_score_codex":0.00007195352,"about_ca_topic_score_gemma":0.000041146566,"teacher_disagreement_score":0.14349668,"about_ca_system_score_codex":0.00009072907,"about_ca_system_score_gemma":0.00005082771,"threshold_uncertainty_score":0.5447548},"labels":[],"label_agreement":null},{"id":"W4413893978","doi":"10.1145/3759919","title":"A Resilient Control Strategy for Train-to-Train Communications under Jamming Attacks","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Jamming; Computer network; Computer security; Control (management); Distributed computing; Telecommunications; Artificial intelligence","score_opus":0.03043607004419819,"score_gpt":0.2776811714554839,"score_spread":0.2472451014112857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413893978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009216686,0.0012059108,0.98405254,0.0010155883,0.0005990732,0.0012844317,0.0002358904,0.00023374613,0.0021561172],"genre_scores_gemma":[0.9971562,0.000101726975,0.0012870703,0.00016078434,0.000037664206,0.00044237002,0.000005628439,0.000021971076,0.00078657793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989728,0.000064100575,0.00032123105,0.0002614647,0.00009121764,0.00028922936],"domain_scores_gemma":[0.998737,0.00045189649,0.000029295974,0.0006027704,0.00006465679,0.000114407834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002107545,0.00019851403,0.00027583758,0.00019466686,0.00042003207,0.0000853055,0.00034196745,0.00011839116,0.000005568967],"category_scores_gemma":[0.000013840413,0.00019329824,0.000092245944,0.00022708165,0.00009659812,0.00008838056,0.000006510241,0.0002361264,0.000008678044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008071646,0.000134845,0.000007791693,0.00016780385,0.00030500634,0.0000019304011,0.0014183229,0.9336724,0.0016657776,0.025150057,0.0003810174,0.037014294],"study_design_scores_gemma":[0.0038867663,0.00096595817,0.0018873098,0.0008281631,0.000269789,0.000034948105,0.01702981,0.8827393,0.0011696303,0.001710912,0.08845244,0.0010249735],"about_ca_topic_score_codex":0.00009618853,"about_ca_topic_score_gemma":0.000306009,"teacher_disagreement_score":0.98793954,"about_ca_system_score_codex":0.00013002804,"about_ca_system_score_gemma":0.00006900848,"threshold_uncertainty_score":0.78824735},"labels":[],"label_agreement":null},{"id":"W4413927296","doi":"10.1145/3765622","title":"Autonomous and Adaptive Cyber Incident Detection and Response in Industrial Cyber-Physical Systems Using Hierarchical Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyber-physical system; Reinforcement learning; Reinforcement; Computer science; Artificial intelligence; Human–computer interaction; Engineering; Operating system","score_opus":0.018246447955425835,"score_gpt":0.2458204822418772,"score_spread":0.22757403428645134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413927296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93878347,0.00017446573,0.058567844,0.000064158,0.0011642429,0.0007997528,0.000010018073,0.00022280506,0.00021325078],"genre_scores_gemma":[0.9991854,0.000033592027,0.000038840513,0.000010524966,0.00032762633,0.00016931743,0.0000025309787,0.000037874543,0.0001943032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997558,0.00047892393,0.00052919885,0.00053944637,0.00039672886,0.00049772096],"domain_scores_gemma":[0.99834484,0.0009496512,0.00007916977,0.0003761569,0.00005102999,0.00019918119],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004346327,0.0003904155,0.00060739927,0.00042066045,0.00038365874,0.00019256075,0.00019844442,0.00029685997,0.000002272322],"category_scores_gemma":[0.00010252377,0.0003800533,0.00011636919,0.0006640161,0.00018543258,0.00032573708,0.000033970136,0.0014143798,0.000010577724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008025892,0.00016351503,0.00017713851,0.00011407514,0.00014506321,0.000025776999,0.002383541,0.9750523,0.012787968,0.00053565134,0.000008303632,0.0078040953],"study_design_scores_gemma":[0.0016368671,0.00056076876,0.0029754124,0.0006730395,0.000111859255,0.00005235542,0.0014800181,0.98828983,0.0026110772,0.00009234299,0.0009978879,0.00051855395],"about_ca_topic_score_codex":0.0015773232,"about_ca_topic_score_gemma":0.00010337723,"teacher_disagreement_score":0.060401928,"about_ca_system_score_codex":0.000618688,"about_ca_system_score_gemma":0.0000946738,"threshold_uncertainty_score":0.9998651},"labels":[],"label_agreement":null},{"id":"W4414117677","doi":"10.1109/ccta53793.2025.11151404","title":"Sensor Protection and Fault Detection: Application to Autonomous Vehicles","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault detection and isolation; Fault (geology); Nonlinear system; Path (computing); Crash; Robot; Mobile robot","score_opus":0.004216376003414042,"score_gpt":0.200683424286292,"score_spread":0.19646704828287795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414117677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58169806,0.00006848842,0.41325587,0.0003347919,0.00019963672,0.00032200277,5.6488494e-7,0.00040284693,0.0037177352],"genre_scores_gemma":[0.9989156,0.000010617074,0.0004682708,0.00006734797,0.00004482898,0.00008055129,2.7255965e-7,0.0000037242148,0.00040878632],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972606,0.0000047555163,0.000065142965,0.000098681114,0.000033915465,0.00007143913],"domain_scores_gemma":[0.9998687,0.000008725347,0.0000037776301,0.00007755332,0.000014423261,0.00002681959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034710974,0.000048222297,0.00004386759,0.00006014672,0.00006392912,0.000020158512,0.000028355214,0.000044341185,0.0000034437564],"category_scores_gemma":[0.000007836345,0.000045655263,0.000009087674,0.00017204076,0.000010394247,0.000041881052,0.000011517007,0.000058513044,0.000028008923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015711028,0.000017148053,0.00026710902,0.00015088428,0.000020302654,7.452463e-7,0.00037706265,0.046320856,0.46628955,0.0012530019,0.00040002356,0.48488763],"study_design_scores_gemma":[0.00017517002,0.000037977912,0.015990006,0.00002033392,0.000008455079,0.000010295427,0.00018952657,0.4214978,0.4804151,0.00039533898,0.081084065,0.00017591765],"about_ca_topic_score_codex":0.000041772848,"about_ca_topic_score_gemma":0.00009364544,"teacher_disagreement_score":0.4847117,"about_ca_system_score_codex":0.00002698115,"about_ca_system_score_gemma":0.0000036713918,"threshold_uncertainty_score":0.18617676},"labels":[],"label_agreement":null},{"id":"W4414122736","doi":"10.1109/tsg.2025.3609209","title":"A Machine Learning-Aided DERMS to Manage Large Numbers of Small-Scale Distributed Energy Resources","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distributed generation; Scalability; Robustness (evolution); Electric power system; Energy management; Renewable energy; Reliability (semiconductor); Power flow","score_opus":0.004768852754737051,"score_gpt":0.19777493347617608,"score_spread":0.19300608072143904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414122736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21383676,0.00017980863,0.7803929,0.00024440343,0.0017667699,0.00016866869,0.00031044334,0.00041522126,0.0026850172],"genre_scores_gemma":[0.9977763,0.00017644375,0.0003167547,0.00015465454,0.00006133656,0.00005205665,0.000026166721,0.000028314174,0.0014079309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987851,0.00005861127,0.00032450436,0.000276373,0.00018711021,0.00036830094],"domain_scores_gemma":[0.9993713,0.0001128539,0.000030012256,0.0003159018,0.000041536743,0.00012841682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012607564,0.0002234732,0.00028922292,0.0003005154,0.00020877435,0.000028061351,0.0002553594,0.00013115052,0.00009524282],"category_scores_gemma":[0.000007673214,0.0002248507,0.00016291092,0.0008372273,0.00005571868,0.000069734866,0.000004274712,0.0003500893,0.00003163077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002743755,0.00042066083,0.0009994409,0.00029623025,0.00031588526,0.000025819374,0.0017996406,0.98066384,0.0063687307,0.00021358713,0.003384828,0.005236969],"study_design_scores_gemma":[0.0021003592,0.00029048882,0.0052248477,0.00044581792,0.00022795414,0.000020048936,0.00069157704,0.1644346,0.2013852,0.00013361503,0.6241109,0.00093460706],"about_ca_topic_score_codex":0.0003919854,"about_ca_topic_score_gemma":0.0029755565,"teacher_disagreement_score":0.8162292,"about_ca_system_score_codex":0.0000656886,"about_ca_system_score_gemma":0.000013011024,"threshold_uncertainty_score":0.9169145},"labels":[],"label_agreement":null},{"id":"W4414219916","doi":"10.1007/s12555-025-0225-0","title":"Out-of-band OTP-based 2FA Architecture for Secure Linux Platforms in Control and Automation Systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Control Automation and Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Login; Automation; Authentication (law); Architecture; Access control; Control (management); Industrial control system; Authentication server","score_opus":0.005603327172747844,"score_gpt":0.2389381990533868,"score_spread":0.23333487188063898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414219916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52051353,0.004109953,0.46882433,0.0006007642,0.0048760567,0.00072705105,0.00010286677,0.00005580865,0.00018963432],"genre_scores_gemma":[0.99952936,0.000042191088,0.00009040342,0.00005738205,0.00021793053,0.000027037824,0.0000075539892,0.0000082278475,0.000019917918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865645,0.000045749275,0.00078561966,0.0000935267,0.0003018019,0.00011685219],"domain_scores_gemma":[0.998832,0.00040600676,0.0003023555,0.0000634126,0.00034605726,0.000050209645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006213715,0.00012951774,0.00038070497,0.00046902406,0.000033022436,0.00011900403,0.00014640411,0.00012388741,0.0000016716633],"category_scores_gemma":[0.00013494023,0.00010307286,0.00007246259,0.000077735356,0.000037491223,0.00020515869,0.000004564955,0.00014995006,3.3659992e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005747726,0.00007707585,0.00910762,0.0013226725,0.0005875635,0.000016480353,0.00170358,0.96121323,0.009507533,0.009905666,0.0007296481,0.0052541653],"study_design_scores_gemma":[0.0057753767,0.00007988582,0.009154707,0.0009450706,0.00003684899,0.000037018825,0.0002160003,0.9807164,0.00019835221,0.00036058298,0.0023772623,0.00010248909],"about_ca_topic_score_codex":0.000018385124,"about_ca_topic_score_gemma":0.000037172864,"teacher_disagreement_score":0.47901583,"about_ca_system_score_codex":0.00007265211,"about_ca_system_score_gemma":0.0000647093,"threshold_uncertainty_score":0.4203189},"labels":[],"label_agreement":null},{"id":"W4414333426","doi":"10.1007/s13369-025-10636-6","title":"GAN-Driven Feature Selection and GraphSAGE for Advanced Persistent Threat Defense in Smart Grids","year":2025,"lang":"en","type":"article","venue":"Arabian Journal for Science and Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Feature selection; Smart grid; Feature (linguistics); Selection (genetic algorithm); Key (lock)","score_opus":0.005739972385293557,"score_gpt":0.2209045744278556,"score_spread":0.21516460204256205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414333426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827078,0.0017184108,0.013954929,0.00025822842,0.0009502196,0.00023824208,0.0000032944279,0.000048660335,0.000120227975],"genre_scores_gemma":[0.9965939,0.00050505035,0.002750807,0.000027396994,0.00004985266,0.000021951493,5.18212e-7,0.000008507923,0.00004202281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999273,0.0000030976007,0.0001249099,0.00016941362,0.000105701314,0.00032388623],"domain_scores_gemma":[0.99970174,0.0000557607,0.000013791859,0.000055492386,0.00006881338,0.00010437941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035142887,0.0001137372,0.00013029091,0.00032706576,0.00028573634,0.000111637455,0.00010918447,0.000051508156,4.667989e-7],"category_scores_gemma":[0.000099306584,0.00010492848,0.000053341708,0.0004651155,0.00006093112,0.00031556445,0.00001242182,0.00018740704,1.1204327e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007387198,0.000023940685,0.009701263,0.0005765811,0.000053368636,0.000008518972,0.0020178424,0.85809034,0.109725475,0.0024036686,0.0007160934,0.016609013],"study_design_scores_gemma":[0.0012027917,0.00021804534,0.020373238,0.00044280477,0.000035522207,0.00021721609,0.00066083734,0.9629109,0.00674726,0.0005090705,0.006345435,0.0003368679],"about_ca_topic_score_codex":0.0000012808567,"about_ca_topic_score_gemma":0.000026004185,"teacher_disagreement_score":0.10482054,"about_ca_system_score_codex":0.000075767646,"about_ca_system_score_gemma":0.00003362642,"threshold_uncertainty_score":0.4278859},"labels":[],"label_agreement":null},{"id":"W4414405202","doi":"10.1109/iccworkshops67674.2025.11162140","title":"Integrated Cross-Layer Security for Reliable Service Provisioning with Guaranteed Robustness","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Provisioning; Encryption; Security service; Computer security model; Cryptography; Authentication (law); Robustness (evolution)","score_opus":0.008142203434202128,"score_gpt":0.24287598370435073,"score_spread":0.2347337802701486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414405202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86657083,0.00017557922,0.11938064,0.00013692153,0.00049488567,0.0005093694,0.000010860619,0.00062388787,0.0120970495],"genre_scores_gemma":[0.99413615,0.000009146523,0.0042402074,0.00024177313,0.00004115072,0.00008392229,0.000014359539,0.000022984637,0.0012102716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991408,0.000007975366,0.00019749367,0.00023716767,0.00011017117,0.00030637556],"domain_scores_gemma":[0.99943423,0.00006980689,0.000017208098,0.00023605059,0.0001979904,0.000044700446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014464241,0.00017285382,0.00018466511,0.000082657614,0.00017585758,0.00011140232,0.00023057111,0.00011618556,0.00004070949],"category_scores_gemma":[0.00002691392,0.0001255267,0.000037964874,0.0006301288,0.00004219052,0.00019123858,0.000033609325,0.00019303022,0.000008208683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002836597,0.000089233,0.007236904,0.001274091,0.000115268114,0.000008883829,0.001329678,0.9681247,0.005115994,0.006003946,0.010080095,0.0003375883],"study_design_scores_gemma":[0.00093957706,0.00004435562,0.00096280134,0.00028447542,0.000021517018,0.000006675699,0.0006624788,0.9482904,0.034264904,0.00027153487,0.013989968,0.00026128383],"about_ca_topic_score_codex":0.00016084657,"about_ca_topic_score_gemma":0.0005137973,"teacher_disagreement_score":0.12756537,"about_ca_system_score_codex":0.00005081049,"about_ca_system_score_gemma":0.000067125395,"threshold_uncertainty_score":0.511883},"labels":[],"label_agreement":null},{"id":"W4414414221","doi":"10.1016/j.inffus.2025.103759","title":"FUSE-IS: multi-modal data fusion for carbon-aware security in industrial energy systems","year":2025,"lang":"en","type":"article","venue":"Information Fusion","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Department of Science and Technology of Liaoning Province; University of Nottingham Ningbo China; National Natural Science Foundation of China; Department of Transportation of Zhejiang Province","keywords":"Efficient energy use; Energy consumption; Sensor fusion; Fusion mechanism; Renewable energy; Green computing; Resource (disambiguation); Energy security; Grid; Industrial control system","score_opus":0.02569491765794701,"score_gpt":0.2496123209653229,"score_spread":0.2239174033073759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414414221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90980154,0.001364847,0.05955274,0.000588626,0.016406046,0.002560771,0.0013672956,0.0010735091,0.0072846394],"genre_scores_gemma":[0.9987266,0.00017844692,0.000058610447,0.00009830651,0.00016488893,0.000056292512,0.0006682287,0.000007705683,0.00004091039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890304,0.000025077234,0.00049975666,0.0001424759,0.00020047945,0.0002291583],"domain_scores_gemma":[0.99932224,0.00006816753,0.0000643807,0.0004255225,0.000069944406,0.000049759343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000291586,0.00014869026,0.00018090532,0.00029855233,0.000097276534,0.000084748994,0.00037463338,0.00028494452,0.000008538402],"category_scores_gemma":[0.00008143187,0.0001439501,0.000031479354,0.00037469767,0.000019695664,0.0008745562,0.00020175386,0.00019691247,0.000007447552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012882773,0.00073036994,0.015729157,0.00666863,0.00027531834,0.000019559568,0.03873298,0.42057148,0.0040699868,0.009577916,0.317059,0.18527731],"study_design_scores_gemma":[0.0013122188,0.00001538788,0.00026621853,0.00020995243,0.0000072713738,0.0000014336856,0.0005828178,0.88270295,0.0007697245,0.000035256955,0.113947526,0.00014923437],"about_ca_topic_score_codex":0.00057534216,"about_ca_topic_score_gemma":0.00021369218,"teacher_disagreement_score":0.4621315,"about_ca_system_score_codex":0.00010286797,"about_ca_system_score_gemma":0.00007093054,"threshold_uncertainty_score":0.5870115},"labels":[],"label_agreement":null},{"id":"W4414475469","doi":"10.3390/en18195076","title":"Smart Grid Systems: Addressing Privacy Threats, Security Vulnerabilities, and Demand–Supply Balance (A Review)","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Smart grid; Differential privacy; Information privacy; Smart meter; Key (lock); Cryptography; Blackout; The Internet; Renewable energy; Grid","score_opus":0.010412528539079365,"score_gpt":0.24270515715586405,"score_spread":0.23229262861678468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414475469","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3398769,0.6494732,0.0002438562,0.000340955,0.0021123807,0.0002934522,0.000027729664,0.00047936515,0.007152193],"genre_scores_gemma":[0.8900296,0.10861372,0.00018471526,0.00018340103,0.00024238115,0.00008190023,0.000018567633,0.000018787528,0.00062693394],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988992,0.00007929223,0.00030063477,0.00026685995,0.00015828025,0.00029568755],"domain_scores_gemma":[0.9993226,0.00017444669,0.000031430558,0.00036666784,0.000041209194,0.00006363949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027072485,0.00021278586,0.0003610884,0.00007265328,0.00017363307,0.000084916515,0.0002119337,0.00009375966,0.000019975003],"category_scores_gemma":[0.0001029138,0.00018807928,0.00005204504,0.00021910146,0.00012876806,0.00022273505,0.00010092583,0.00022785892,0.0000061156297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063793486,0.0001807392,0.065402776,0.0698145,0.00056043686,0.000116718715,0.006417762,0.16769345,0.0033571078,0.0535213,0.6196956,0.013175811],"study_design_scores_gemma":[0.0014389757,0.00008477306,0.019785322,0.03181621,0.00025241214,0.0001254754,0.0013665737,0.09497393,0.011396636,0.005096996,0.83185834,0.0018043565],"about_ca_topic_score_codex":0.00008662408,"about_ca_topic_score_gemma":0.00001818706,"teacher_disagreement_score":0.5501527,"about_ca_system_score_codex":0.00005245093,"about_ca_system_score_gemma":0.000035213852,"threshold_uncertainty_score":0.76696503},"labels":[],"label_agreement":null},{"id":"W4414538373","doi":"10.1109/tsg.2025.3614650","title":"An SDN-Based Framework for Cyber-Physically Coordinated Voltage Support of Virtual Power Plants Against DoS Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Scalability; Resilience (materials science); Context (archaeology); Smart grid; Telecommunications network; Control (management); Focus (optics); Voltage; Server","score_opus":0.007898196342966592,"score_gpt":0.25414082285144635,"score_spread":0.24624262650847975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414538373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26663962,0.000011869589,0.7284782,0.000078189005,0.0031673687,0.0003768607,0.00058428495,0.00028836934,0.00037525778],"genre_scores_gemma":[0.99829835,0.000019488276,0.00085550896,0.00038911423,0.00009514718,0.00010459828,0.000060232676,0.000042008596,0.00013555313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986108,0.00003255648,0.00040233103,0.00033943244,0.0002239567,0.0003909126],"domain_scores_gemma":[0.9988669,0.00036835702,0.00004645594,0.00048581063,0.00009437056,0.00013806061],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014100279,0.0002818736,0.00036869894,0.00026208395,0.00018421264,0.00003359398,0.00031667383,0.0002763695,0.00007402275],"category_scores_gemma":[0.000011336033,0.00028674808,0.00022328159,0.00040301692,0.00012737328,0.00016406132,0.0000011773519,0.00045997935,0.000038288646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007328593,0.0014596649,0.00018555077,0.0002886134,0.00038353016,0.000024499906,0.00078847166,0.8926439,0.0846848,0.0009002657,0.009281392,0.008626443],"study_design_scores_gemma":[0.0029977777,0.0015307745,0.001617296,0.0005267554,0.00016795532,0.000004196835,0.00036769768,0.1533164,0.8164741,0.0003301409,0.02160643,0.0010604969],"about_ca_topic_score_codex":0.000013497689,"about_ca_topic_score_gemma":0.000047893172,"teacher_disagreement_score":0.7393275,"about_ca_system_score_codex":0.00006745559,"about_ca_system_score_gemma":0.000101504826,"threshold_uncertainty_score":0.99995846},"labels":[],"label_agreement":null},{"id":"W4414539626","doi":"10.1109/icc52391.2025.11161868","title":"Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Pruning; Context (archaeology); Anomaly detection; Hyperparameter; Inference; Feature selection; Artificial neural network; Feature (linguistics)","score_opus":0.004655153554636509,"score_gpt":0.19311420278944058,"score_spread":0.18845904923480408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414539626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29449052,0.000168946,0.70445025,0.000013475714,0.00007733273,0.00015240634,8.7007516e-7,0.00010121159,0.0005450027],"genre_scores_gemma":[0.9969107,0.000021864871,0.0029563028,0.000017298125,0.000014026558,0.000017134562,0.0000069392418,0.000010346639,0.000045419303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951166,0.0000156574,0.00016516697,0.00010589797,0.000058347046,0.00014325144],"domain_scores_gemma":[0.9998037,0.00005845959,0.00002501272,0.000064698084,0.000033181535,0.000014929877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010132674,0.00007943214,0.000110996145,0.00027438515,0.000049845792,0.000011134831,0.00006466131,0.00007525344,0.000011168569],"category_scores_gemma":[0.00003338626,0.000079752856,0.00002935216,0.0005458514,0.000007900425,0.000108760745,0.000008108829,0.000147536,1.8908507e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018766128,0.0000068320433,0.0016912902,0.000100480174,0.0000055208097,1.5005546e-7,0.00007669938,0.97113353,0.023988154,0.00012467835,0.0000045325482,0.0028493933],"study_design_scores_gemma":[0.0003757519,0.00002864869,0.001023176,0.00003161646,0.0000053607027,2.6036136e-7,0.000019519695,0.9167259,0.08155214,0.00012620035,0.00004346249,0.000067987436],"about_ca_topic_score_codex":0.000037911712,"about_ca_topic_score_gemma":0.00006331448,"teacher_disagreement_score":0.7024202,"about_ca_system_score_codex":0.000051978186,"about_ca_system_score_gemma":0.00002102778,"threshold_uncertainty_score":0.3252227},"labels":[],"label_agreement":null},{"id":"W4414609399","doi":"10.64206/vzsk7w31","title":"AI Autoencoder-Driven Anomaly Detection for Wire Transfer Security","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anomaly detection; Sophistication; Heuristic; Autoencoder; Heuristics; Stylized fact","score_opus":0.006204973649371657,"score_gpt":0.1996746393378129,"score_spread":0.19346966568844123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414609399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73067397,0.00015567249,0.26357758,0.00033307468,0.0014416089,0.00045209524,0.00005513789,0.0007676609,0.0025432087],"genre_scores_gemma":[0.99912345,0.000009838012,0.0002651181,0.00021156765,0.00008215826,0.00014853106,0.000007639418,0.000017673916,0.0001340429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993912,0.000017038928,0.00011734463,0.00014670675,0.00012802384,0.00019970234],"domain_scores_gemma":[0.99978924,0.000027136079,0.000003912497,0.00011648931,0.00001625279,0.000046987196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000797561,0.00009194208,0.00009617457,0.00005586325,0.0002482009,0.000017242624,0.00012442628,0.00004220439,0.0003079171],"category_scores_gemma":[0.0000037989282,0.00009462469,0.00008025066,0.00015147183,0.000018654759,0.000108368295,0.000019062423,0.00019673421,0.000007855764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097406366,0.00016603348,0.0009257201,0.00032073766,0.000106288215,0.000015220463,0.006014208,0.9326787,0.036401052,0.0049833395,0.011484091,0.0068072136],"study_design_scores_gemma":[0.00033834687,0.00012438116,0.000485952,0.000002530252,0.000012143863,0.000017197679,0.00025686924,0.89888084,0.015453143,0.0005504659,0.08369093,0.00018719099],"about_ca_topic_score_codex":0.00002608013,"about_ca_topic_score_gemma":0.0002657222,"teacher_disagreement_score":0.2684495,"about_ca_system_score_codex":0.000063320585,"about_ca_system_score_gemma":0.0000130196695,"threshold_uncertainty_score":0.38586828},"labels":[],"label_agreement":null},{"id":"W4414647192","doi":"10.1109/access.2025.3616269","title":"Modular Security Engine Cyber-Physical Resiliency Approach Using Digital Replication","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transport Layer Security; Modular design; Resilience (materials science); Key (lock); Mobile device; Replication (statistics); Cloud computing; Database transaction; Abstraction; Secure communication","score_opus":0.014660387481907792,"score_gpt":0.2837926134814806,"score_spread":0.2691322259995728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414647192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89845634,0.00021255673,0.09076146,0.000027578968,0.00058283313,0.00019889203,0.000013172181,0.0003156777,0.0094315205],"genre_scores_gemma":[0.99940985,0.000022641756,0.00015498557,0.000028172033,0.00026781263,0.000021424834,0.00001499563,0.000017742166,0.00006235898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897414,0.000018532615,0.00019429953,0.00036598401,0.00018291829,0.0002641178],"domain_scores_gemma":[0.9992198,0.000050275015,0.00002537948,0.00059396913,0.00004783483,0.00006278035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010790568,0.00016459775,0.000185865,0.00012091276,0.00010385476,0.00019524223,0.00049951294,0.00009483489,0.0000031993332],"category_scores_gemma":[0.00005670257,0.00016297027,0.000073211886,0.00059833884,0.000062975094,0.000790805,0.00007514097,0.00023447249,0.000010194263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027339383,0.0006443322,0.005819893,0.00083031016,0.00015690528,0.000019132467,0.0017812046,0.92142606,0.03812501,0.006077375,0.003607107,0.02148531],"study_design_scores_gemma":[0.00019193666,0.000008269829,0.0029521128,0.00004581427,0.00002173056,0.000006452739,0.00003442549,0.9576785,0.034409676,0.0029131395,0.0014866004,0.000251363],"about_ca_topic_score_codex":0.00002268911,"about_ca_topic_score_gemma":0.0000022791749,"teacher_disagreement_score":0.100953564,"about_ca_system_score_codex":0.00007423894,"about_ca_system_score_gemma":0.000026605932,"threshold_uncertainty_score":0.6645735},"labels":[],"label_agreement":null},{"id":"W4414648605","doi":"10.1109/eeeic/icpseurope64998.2025.11169117","title":"Cyber Vulnerability Analysis and Anomaly Detection in a DC Microgrid Cluster","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Microgrid; Converters; Electric power system; IEC 61850; Distributed generation; Vulnerability (computing); Interconnectivity; Power (physics); Key (lock)","score_opus":0.003150106796948756,"score_gpt":0.21091881830452702,"score_spread":0.20776871150757828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414648605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98470384,0.00027635973,0.0121068265,0.0000747624,0.00013131603,0.00007365766,9.620288e-7,0.00007690548,0.0025553927],"genre_scores_gemma":[0.99948275,0.00004388481,0.00023351496,0.00006772878,0.000014339382,0.000008752902,9.0561633e-7,0.0000025770062,0.00014553078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995536,0.000023408662,0.00012691096,0.00014170415,0.000039188864,0.00011515986],"domain_scores_gemma":[0.99979115,0.0000481652,0.000005054974,0.000121929224,0.000010890925,0.000022841492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351783,0.000067037574,0.00011853351,0.00023811252,0.000030644424,0.000023666591,0.000042857067,0.00006155987,0.00003306584],"category_scores_gemma":[0.00001630072,0.000059515776,0.0000406994,0.0007797132,0.000029344928,0.00007112712,0.000023376453,0.00010868702,0.000003906668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004236161,0.00009004405,0.8824268,0.00020158639,0.00040961674,0.0000064318756,0.0008313118,0.04488896,0.027445132,0.00010279022,0.00032873586,0.043226227],"study_design_scores_gemma":[0.00025141847,0.000008258335,0.79021144,0.000008565686,0.00007107666,0.0000014532995,0.00007380564,0.16934529,0.038536422,0.00012206144,0.001249329,0.00012087186],"about_ca_topic_score_codex":0.00030846914,"about_ca_topic_score_gemma":0.01061604,"teacher_disagreement_score":0.12445633,"about_ca_system_score_codex":0.000034407665,"about_ca_system_score_gemma":0.0000042031725,"threshold_uncertainty_score":0.59239995},"labels":[],"label_agreement":null},{"id":"W4414766862","doi":"10.36227/techrxiv.175944007.75896416/v1","title":"Non-Redundant Transmission Constraints Discovery in Security-Constrained Unit Commitment","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transmission (telecommunications); Unit (ring theory); Constraint (computer-aided design); Key (lock); Identification (biology)","score_opus":0.006189375226910058,"score_gpt":0.22899974330812206,"score_spread":0.222810368081212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414766862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8755641,0.0002894349,0.024803359,0.00049399503,0.00066613586,0.0004113839,0.000015725318,0.00022103704,0.097534835],"genre_scores_gemma":[0.99888563,0.00015134281,0.00031901133,0.00012994294,0.000021110114,0.000016424936,0.000009898896,0.000008836782,0.0004577918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991221,0.000020535792,0.0002703735,0.00018097226,0.00011854589,0.00028748545],"domain_scores_gemma":[0.9996621,0.00007046238,0.000010195764,0.00017564936,0.000012787206,0.0000688223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013742843,0.00016450307,0.00020181255,0.00017739892,0.000057708134,0.000050375827,0.00017667806,0.0001031127,0.00015616036],"category_scores_gemma":[0.0000067812057,0.00014357931,0.000060989158,0.00033916137,0.00020312428,0.00017330317,0.000025049425,0.0002605532,0.000016140326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047954213,0.0031175485,0.10261774,0.005236016,0.00094961264,0.0010955854,0.02984246,0.12722543,0.13841987,0.31789586,0.028958883,0.24416144],"study_design_scores_gemma":[0.01185151,0.0002662928,0.08491261,0.0036123605,0.00012240458,0.00008188274,0.010199073,0.60360205,0.17666861,0.018526714,0.08747367,0.0026828186],"about_ca_topic_score_codex":0.000042188058,"about_ca_topic_score_gemma":0.0001341897,"teacher_disagreement_score":0.47637662,"about_ca_system_score_codex":0.000052709493,"about_ca_system_score_gemma":0.000066428,"threshold_uncertainty_score":0.5854994},"labels":[],"label_agreement":null},{"id":"W4415178829","doi":"10.1109/tnse.2025.3621342","title":"RobGenX: Uncertainty-Aware Inference in eXtreme Computing Power Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar University","keywords":"Inference; Integer programming; Enhanced Data Rates for GSM Evolution; Edge computing; Probabilistic logic; Linear programming; Approximate inference; Task (project management); Cloud computing; Stochastic programming","score_opus":0.011463482233228198,"score_gpt":0.21315950802231107,"score_spread":0.20169602578908286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415178829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13340716,0.00046034905,0.8631132,0.000037052607,0.0021089546,0.00013174693,0.000001169584,0.00025740053,0.0004829222],"genre_scores_gemma":[0.9991204,0.00027471242,0.00042772247,0.000078204415,0.000056930414,0.000011456763,3.270058e-7,0.000011941537,0.000018303399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867064,0.000009601493,0.00023368347,0.00029842672,0.00020681157,0.00058084074],"domain_scores_gemma":[0.99943805,0.00020107903,0.000012598869,0.0001975585,0.000046862202,0.000103848404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040357249,0.00019216034,0.00018371228,0.00032672007,0.0002590238,0.00009913876,0.0002566779,0.00009428742,0.00000871363],"category_scores_gemma":[0.0000132903215,0.00019797779,0.000034340468,0.0020312648,0.0001357053,0.00026196777,0.0000051690704,0.00045970632,0.0000027894826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003608415,0.000010842388,0.00010448432,0.0000233502,0.00000661244,0.0000049258247,0.00015001037,0.9929501,0.00032546296,0.00020786715,0.00005244118,0.0061602998],"study_design_scores_gemma":[0.00015437476,0.00001735628,0.0016180765,0.00028454248,0.0000053050453,0.000003230565,0.000057805995,0.99688774,0.00031030137,0.000020153808,0.0004393897,0.0002017215],"about_ca_topic_score_codex":0.000019779049,"about_ca_topic_score_gemma":0.00007204692,"teacher_disagreement_score":0.86571324,"about_ca_system_score_codex":0.00013154167,"about_ca_system_score_gemma":0.00006394489,"threshold_uncertainty_score":0.80732995},"labels":[],"label_agreement":null},{"id":"W4415178863","doi":"10.1109/tnse.2025.3620950","title":"Resilience and Failure Analysis in Next-Generation Communication Networks: A Contemporary Survey","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Resilience (materials science); Adaptability; Relevance (law); Telecommunications network; Key (lock); Cascading failure; Network science; Network topology; Standardization","score_opus":0.018761729947281043,"score_gpt":0.22304379815637435,"score_spread":0.2042820682090933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415178863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48547068,0.0021945187,0.51151234,0.000066045715,0.00037297164,0.00014546624,0.0000028080005,0.00011009532,0.00012507901],"genre_scores_gemma":[0.9980751,0.0012224116,0.0005954091,0.00004246989,0.00002267301,0.000021691583,0.0000027529206,0.0000061854307,0.000011257242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991077,0.00003410976,0.00020679613,0.0002449812,0.0001491767,0.0002572191],"domain_scores_gemma":[0.9994714,0.00016154222,0.000014784097,0.00023461718,0.000046222056,0.00007142098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085735094,0.00012947351,0.00017319524,0.00046319852,0.0002594548,0.00014303763,0.00017806416,0.00007449,0.0000018056129],"category_scores_gemma":[0.000015324524,0.00013480028,0.000024038642,0.0035904048,0.00015827027,0.0004994706,0.00000407239,0.00026380873,4.300286e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040451064,0.000007702391,0.0017690641,0.000011598163,0.000021082558,6.611473e-7,0.00010885609,0.9955125,0.0009277305,0.00007307038,0.00011814784,0.0014455832],"study_design_scores_gemma":[0.00010927306,0.000010594318,0.030806059,0.00006476404,0.000018470877,0.0000011267181,0.000044159613,0.9683322,0.00036808845,0.000006068966,0.0001122623,0.00012696107],"about_ca_topic_score_codex":0.00010371336,"about_ca_topic_score_gemma":0.0015223927,"teacher_disagreement_score":0.5126045,"about_ca_system_score_codex":0.000059564227,"about_ca_system_score_gemma":0.00004576418,"threshold_uncertainty_score":0.5496996},"labels":[],"label_agreement":null},{"id":"W4415219996","doi":"10.1007/s10586-025-05652-y","title":"Mitigating insider threats: a trust-based security framework for energy grid plants with dynamic authentication and role-based training","year":2025,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sherbrooke O.E.M (Canada); Université de Sherbrooke","funders":"","keywords":"Bridging (networking); Robustness (evolution); Insider threat; Vulnerability (computing); Authentication (law); Grid; Competence (human resources); Data integrity; Computer security model","score_opus":0.007805518327385761,"score_gpt":0.23519782674197715,"score_spread":0.22739230841459138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415219996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47729674,0.00043698392,0.52131146,0.00017063181,0.00028025408,0.00016853667,0.0000099506,0.00019677985,0.00012864401],"genre_scores_gemma":[0.97358793,0.000003798554,0.025728183,0.00047602542,0.00011315158,0.000025209549,0.00003362533,0.000026805856,0.0000052419236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894357,0.00003691435,0.0002569807,0.00030512718,0.0001178006,0.00033959292],"domain_scores_gemma":[0.99897355,0.00066897186,0.000060592025,0.0001925271,0.000038358994,0.00006600012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017887104,0.00020364598,0.00023081993,0.00013152549,0.00026071083,0.000093084906,0.00012986001,0.00013780981,0.0000017462422],"category_scores_gemma":[0.0000558732,0.00019259685,0.000047904516,0.00017877485,0.000080680154,0.00007359423,0.00003322666,0.00022037457,4.2458595e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002807122,0.0001355749,0.010518669,0.002124331,0.0002697533,0.000017403596,0.020705016,0.8622798,0.0016944461,0.008667489,0.00015206393,0.09315476],"study_design_scores_gemma":[0.0008634049,0.000038829305,0.0010912017,0.0010619886,0.000029888863,0.000005824388,0.00081064325,0.990051,0.0013773923,0.0042941677,0.00015313138,0.0002225704],"about_ca_topic_score_codex":0.000009194125,"about_ca_topic_score_gemma":0.00005149889,"teacher_disagreement_score":0.49629122,"about_ca_system_score_codex":0.000059431568,"about_ca_system_score_gemma":0.00006158732,"threshold_uncertainty_score":0.78538716},"labels":[],"label_agreement":null},{"id":"W4415313978","doi":"10.2139/ssrn.5622649","title":"Adaptive IEC 61850-Based Protection for Solar-Powered DC Microgrids","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Université Laval","funders":"","keywords":"IEC 61850; Relay; Overcurrent; Scheme (mathematics); Protective relay; Fault (geology); Grid","score_opus":0.01126372673137576,"score_gpt":0.23198547585642704,"score_spread":0.22072174912505127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415313978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01251688,0.022918243,0.95076424,0.0010790179,0.008079718,0.003620597,0.00017475522,0.00026301434,0.0005835167],"genre_scores_gemma":[0.9694284,0.02072191,0.0027467515,0.00012170263,0.0035040814,0.00066859706,0.00006834659,0.00018114128,0.0025590407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9898431,0.00034407058,0.0014729397,0.001185937,0.0007024958,0.0064514945],"domain_scores_gemma":[0.9972878,0.0002496682,0.0006882541,0.0007705544,0.0006797154,0.00032400174],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0037584226,0.0012072084,0.0011800521,0.0008291614,0.0012446875,0.0003942831,0.0013921935,0.0014542221,0.000063754764],"category_scores_gemma":[0.00028129984,0.0012794691,0.0014099904,0.0006612752,0.00022016236,0.00032149782,0.0002467815,0.015268356,0.000043457465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0075938967,0.0018706031,0.00021236512,0.0042963354,0.00957338,0.000049141185,0.0032131597,0.6046669,0.019794762,0.04933623,0.0010328343,0.2983604],"study_design_scores_gemma":[0.012136155,0.0067716436,0.0003037384,0.005488267,0.0022761049,0.0012778504,0.005481116,0.4981241,0.04611099,0.35884884,0.057780284,0.0054008984],"about_ca_topic_score_codex":0.00022204606,"about_ca_topic_score_gemma":0.001537794,"teacher_disagreement_score":0.95691156,"about_ca_system_score_codex":0.0066842586,"about_ca_system_score_gemma":0.0157193,"threshold_uncertainty_score":0.9998421},"labels":[],"label_agreement":null},{"id":"W4415398294","doi":"10.1109/smartgridcomm65349.2025.11204649","title":"Generator Cost Coefficients Inference Attack via Exploitation of Locational Marginal Prices in Smart Grid","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Exploit; Generator (circuit theory); Smart grid; Convergence (economics); Quadratic equation; Benchmark (surveying); Inference; Electric power system","score_opus":0.018402200351150252,"score_gpt":0.2803192824589123,"score_spread":0.26191708210776204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415398294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6625768,0.0012729164,0.32809648,0.00022847044,0.0028558217,0.0006384743,0.000036671376,0.00005214845,0.0042422274],"genre_scores_gemma":[0.9971775,0.000401599,0.0017821464,0.00010402252,0.000117569725,0.00005936922,0.00004416898,0.000013595122,0.00030004352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792045,0.00005583442,0.0007893353,0.00040558202,0.00042492338,0.00040387744],"domain_scores_gemma":[0.99891037,0.0003120375,0.00010940777,0.00029344574,0.0002787117,0.0000960336],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033610445,0.0002758404,0.00034346685,0.00047787922,0.00010098305,0.00006060384,0.00036836875,0.00019652017,0.000403495],"category_scores_gemma":[0.0001654332,0.0002925481,0.00007150844,0.0013916502,0.00018265656,0.00036012148,0.00010616977,0.00029684143,0.00007735849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012689484,0.00085283845,0.088723,0.0014002217,0.00010664517,0.000008475738,0.0022247846,0.8718272,0.0090003535,0.0138540175,0.002875565,0.009000022],"study_design_scores_gemma":[0.0015094191,0.0001138451,0.18456523,0.0008173648,0.00004554515,0.0000028017537,0.0007165167,0.77136266,0.03192756,0.00018809886,0.008193721,0.00055725785],"about_ca_topic_score_codex":0.00015158621,"about_ca_topic_score_gemma":0.0004631897,"teacher_disagreement_score":0.3346007,"about_ca_system_score_codex":0.00021346215,"about_ca_system_score_gemma":0.00030381265,"threshold_uncertainty_score":0.9999527},"labels":[],"label_agreement":null},{"id":"W4415398878","doi":"10.1109/smartgridcomm65349.2025.11204634","title":"Enhancing the Cybersecurity of Current Differential Relays","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cryptography; Key (lock); Verifiable secret sharing; NIST; Smart grid; Differential (mechanical device); Differential privacy; Implementation; Smart card","score_opus":0.008321685905048145,"score_gpt":0.24558383377054213,"score_spread":0.237262147865494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415398878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8080846,0.018838413,0.12075669,0.000540382,0.018360145,0.00094771094,0.000024525898,0.00015831315,0.032289222],"genre_scores_gemma":[0.99700785,0.0021382996,0.00006819896,0.000028059732,0.0002622638,0.000018612767,0.000002270308,0.0000129046475,0.00046156865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981025,0.00010032528,0.0007228039,0.00031425312,0.00030950748,0.00045059875],"domain_scores_gemma":[0.9988138,0.00035415043,0.00008375052,0.000589953,0.000083287436,0.0000750517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028762606,0.00028760955,0.00038270006,0.00013395965,0.00024778477,0.000054419066,0.00057451933,0.00017060946,0.00065761514],"category_scores_gemma":[0.000120172794,0.00020254268,0.0002690711,0.00058494246,0.00028046354,0.00011301933,0.00028043948,0.000759979,0.00004341358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017980426,0.0013349362,0.0043041054,0.00682136,0.0010565072,0.0000112558355,0.022840964,0.0069591645,0.0855996,0.760006,0.014310891,0.09657541],"study_design_scores_gemma":[0.0021395076,0.00016386117,0.024559202,0.003949531,0.000820608,0.000008800841,0.004265972,0.1739844,0.7112764,0.0077902465,0.0696935,0.001347955],"about_ca_topic_score_codex":0.000090302536,"about_ca_topic_score_gemma":0.00028352233,"teacher_disagreement_score":0.75221574,"about_ca_system_score_codex":0.00006882661,"about_ca_system_score_gemma":0.00011974035,"threshold_uncertainty_score":0.8259451},"labels":[],"label_agreement":null},{"id":"W4415399104","doi":"10.1109/smartgridcomm65349.2025.11204607","title":"SnakeGrid: A Snake Learning-Assisted Secure and Privacy-Preserving Scheme for Smart Grid Load Forecasting in Zero-Touch Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Smart grid; Overhead (engineering); Scheme (mathematics); Synchronization (alternating current); Encryption; Adversarial system; Key (lock); Mean squared error; Automation","score_opus":0.016751689310173096,"score_gpt":0.23945281400307303,"score_spread":0.22270112469289993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415399104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7927174,0.01763844,0.16146456,0.0019407833,0.006245725,0.0033575923,0.00003381345,0.0007163185,0.015885348],"genre_scores_gemma":[0.9869107,0.0012724795,0.007797712,0.00020787663,0.0006518044,0.00020576741,0.000047687467,0.00010549995,0.0028004497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951453,0.00016591956,0.0013059847,0.0012213098,0.0004463507,0.0017150927],"domain_scores_gemma":[0.99717784,0.0012979745,0.00019882174,0.0007273142,0.00028090956,0.00031712584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011948062,0.0008426076,0.0010149686,0.00048608627,0.0007129144,0.00046360528,0.0008853901,0.0008983198,0.00014612604],"category_scores_gemma":[0.0019220262,0.000873473,0.00027908024,0.0016912023,0.00020070262,0.00058312237,0.0011447027,0.002034471,0.0000065996387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012063654,0.0007056198,0.23403914,0.011046829,0.0011373964,0.0002109221,0.008309395,0.63214546,0.0035182475,0.0064091138,0.04129689,0.059974603],"study_design_scores_gemma":[0.0027097848,0.00017681406,0.011605783,0.0021984528,0.00009781346,0.000034446868,0.00078039785,0.94087535,0.0004915095,0.0005228515,0.03962263,0.0008841622],"about_ca_topic_score_codex":0.000349203,"about_ca_topic_score_gemma":0.0017028947,"teacher_disagreement_score":0.30872986,"about_ca_system_score_codex":0.00039266364,"about_ca_system_score_gemma":0.00029713137,"threshold_uncertainty_score":0.9993716},"labels":[],"label_agreement":null},{"id":"W4415399875","doi":"10.1109/smartgridcomm65349.2025.11204643","title":"Fed-AttentionGrid: Digital Twin-Assisted Attention-based Federated Learning for Intrusion Detection in Smart Grids","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Scalability; Intrusion detection system; Smart grid; Grid; Digitization; Node (physics)","score_opus":0.007700531027197401,"score_gpt":0.22884173658373094,"score_spread":0.22114120555653355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415399875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69113785,0.00029369342,0.2991888,0.00049213594,0.0041998033,0.0011018168,0.000014571792,0.00044580555,0.0031255581],"genre_scores_gemma":[0.99531233,0.000053018062,0.00023097776,0.00009593087,0.00019254026,0.00016263146,0.00018183008,0.00005354615,0.0037171908],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968862,0.00012518677,0.0010632026,0.00078813743,0.00034077023,0.00079650147],"domain_scores_gemma":[0.9987096,0.00045730686,0.0001346473,0.00026745058,0.0002833377,0.00014764129],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004856024,0.00052149425,0.0005247501,0.0008992358,0.00089945755,0.0008917443,0.00023697702,0.00053713867,0.00015588051],"category_scores_gemma":[0.0004926321,0.0005619314,0.00037871004,0.0018151918,0.00011743034,0.00068234035,0.00009689385,0.0008343172,0.00007768012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022080042,0.0019509977,0.15203764,0.0041757743,0.00062817254,0.000055745586,0.00041297456,0.30893752,0.122981966,0.0011412866,0.0018377231,0.4036322],"study_design_scores_gemma":[0.003743878,0.00033649485,0.11200753,0.0009623408,0.00008916052,0.0000063939474,0.0006571878,0.8580017,0.014963481,0.00012829105,0.008402916,0.0007006422],"about_ca_topic_score_codex":0.00018048768,"about_ca_topic_score_gemma":0.0012978489,"teacher_disagreement_score":0.54906416,"about_ca_system_score_codex":0.0005516047,"about_ca_system_score_gemma":0.00018927595,"threshold_uncertainty_score":0.9996832},"labels":[],"label_agreement":null},{"id":"W4415400036","doi":"10.1109/smartgridcomm65349.2025.11204621","title":"Cyber Intrusion Detection in Protective Relays Using Deep Learning Attention-Based Models","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intrusion detection system; Transformer; Deep learning; Smart grid; ALARM; Constant false alarm rate; False alarm","score_opus":0.009572904526602794,"score_gpt":0.22524011872542304,"score_spread":0.21566721419882026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415400036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44321635,0.00038879536,0.5521714,0.000047346297,0.00080020796,0.0007546559,4.756171e-7,0.0001359567,0.002484795],"genre_scores_gemma":[0.9978333,0.00007588308,0.0016281521,0.00003686201,0.00008882867,0.00008969728,0.0000023125397,0.000034487955,0.0002104558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977855,0.00023568356,0.00059288414,0.0005707383,0.00027204698,0.0005431666],"domain_scores_gemma":[0.9992876,0.00016374339,0.00008648668,0.0002595594,0.00012343611,0.000079159196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004930676,0.0003441903,0.0003382237,0.0007750829,0.00046000193,0.000105968604,0.00017384205,0.00046522066,0.00009879733],"category_scores_gemma":[0.00016111949,0.00037432293,0.00015436912,0.0016017231,0.000085100306,0.00051885535,0.00010445958,0.0013007578,0.000025980105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008461046,0.00007691408,0.0011029796,0.00024700892,0.00003190644,0.00000961087,0.0006395239,0.9402295,0.03684,0.0004911772,0.0000010373303,0.020245763],"study_design_scores_gemma":[0.00086146576,0.00006464925,0.0034731054,0.00081689266,0.00004330056,0.0000034120483,0.000735018,0.96682155,0.02537823,0.0013689176,0.0000667785,0.0003666873],"about_ca_topic_score_codex":0.000970132,"about_ca_topic_score_gemma":0.0014698694,"teacher_disagreement_score":0.554617,"about_ca_system_score_codex":0.00078403985,"about_ca_system_score_gemma":0.00010268985,"threshold_uncertainty_score":0.9998709},"labels":[],"label_agreement":null},{"id":"W4415450458","doi":"10.1016/j.segan.2025.102027","title":"Consequence-driven optimization for detection and localization of stealth false data injection attacks against state estimation in power distribution systems","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Iran National Science Foundation","keywords":"State (computer science); Power (physics); Distribution (mathematics); Estimation; Control theory (sociology); Optimization problem","score_opus":0.005038440362888018,"score_gpt":0.2211891212740918,"score_spread":0.21615068091120376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415450458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077790804,0.0017510533,0.9197173,0.000011002714,0.0003251952,0.00028939132,0.000026896985,0.0000524301,0.000035900226],"genre_scores_gemma":[0.9971229,0.0021431583,0.000118570555,0.000011896159,0.00002386543,0.00004343521,0.00048671567,0.000010137566,0.00003930932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916345,0.000047258,0.0002887483,0.0002151268,0.00006799229,0.00021742508],"domain_scores_gemma":[0.9995379,0.00007358014,0.000069184,0.00015667632,0.0001268997,0.00003579312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027675278,0.00011352984,0.00016549359,0.00013392098,0.00014145959,0.00005706208,0.000064137916,0.00012975781,3.4628457e-7],"category_scores_gemma":[0.00005615868,0.00011819553,0.000011259759,0.00041798083,0.00006324155,0.00036426273,0.000048499824,0.000081408114,1.4090343e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049001315,0.000011918014,0.00047209073,0.00035940183,0.000013795628,0.0000018434561,0.00006257908,0.99223775,0.000020822383,0.0017743965,0.000115616334,0.0048808116],"study_design_scores_gemma":[0.00039821345,0.0000658778,0.00033152863,0.00013972512,0.000013570294,0.0000032719695,0.0005530207,0.997234,0.00013051393,0.00021238685,0.00081202295,0.000105872015],"about_ca_topic_score_codex":0.00038100092,"about_ca_topic_score_gemma":0.00019987572,"teacher_disagreement_score":0.91959876,"about_ca_system_score_codex":0.00013963021,"about_ca_system_score_gemma":0.000043027856,"threshold_uncertainty_score":0.4819874},"labels":[],"label_agreement":null},{"id":"W4415476319","doi":"10.2172/2999135","title":"InterGraph-CPS: A Graph-Theoretic Approach to Characterize Cross-Domain Cyber-Physical Interdependencies and Uncertainties in Electric Grid Systems for Improved Decision-Making in Operation and Response","year":2025,"lang":"","type":"report","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emera (Canada)","funders":"National Nuclear Security Administration; Emera; Sandia National Laboratories; U.S. Department of Homeland Security; U.S. Department of Energy","keywords":"Grid; Interval (graph theory); Interdependence; Electric power system; Power grid; Control theory (sociology)","score_opus":0.01013243258301436,"score_gpt":0.2727816921930199,"score_spread":0.2626492596100055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415476319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93564165,0.0046575004,0.052447945,0.000057898087,0.002137705,0.004314274,0.00012266936,0.000100002675,0.0005203492],"genre_scores_gemma":[0.9922903,0.004206209,0.0013640415,0.000044921562,0.0003270247,0.0013963328,0.000054277756,0.00008826209,0.0002286112],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940377,0.00047883077,0.002017679,0.0017730015,0.00055578403,0.0011370329],"domain_scores_gemma":[0.9955024,0.0030443526,0.0002742908,0.000649372,0.00029433702,0.00023522283],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0037846244,0.001109883,0.0019221995,0.0034359177,0.00029765748,0.0012219835,0.0006080281,0.00083313533,0.000005265279],"category_scores_gemma":[0.0019426274,0.0010168412,0.00029556945,0.0015255313,0.00036206355,0.0005832147,0.0005050022,0.0012434168,0.0000012319783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10458026,0.005581819,0.023665365,0.06605337,0.0031805541,0.0007332092,0.21459743,0.15423457,0.2135203,0.07458911,0.0015329821,0.13773102],"study_design_scores_gemma":[0.004456574,0.0020823898,0.04045524,0.015422098,0.00021601799,0.0006079021,0.009974349,0.9126043,0.0007825785,0.0076269964,0.0021364097,0.0036351501],"about_ca_topic_score_codex":0.00051192363,"about_ca_topic_score_gemma":0.0005424247,"teacher_disagreement_score":0.75836974,"about_ca_system_score_codex":0.00077942054,"about_ca_system_score_gemma":0.00052449974,"threshold_uncertainty_score":0.99981487},"labels":[],"label_agreement":null},{"id":"W4415482661","doi":"10.1109/tpel.2025.3624687","title":"Unified Fault Ride-Through Capability-Based Resilience-Aware Metrics for Grid-Forming Inverter-Based Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metric (unit); Fault (geology); Grid; Set (abstract data type); Resilience (materials science); Reliability (semiconductor); Power (physics); Inverter","score_opus":0.012563618005208005,"score_gpt":0.254029925188131,"score_spread":0.241466307182923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415482661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014857972,0.005244314,0.96325403,0.0007186013,0.0115143685,0.002721625,0.0006541215,0.0005714788,0.0004634842],"genre_scores_gemma":[0.9962784,0.00070978724,0.0009831055,0.00062430766,0.0001101959,0.0005991405,0.0000440647,0.00014159201,0.0005093842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936198,0.00028077755,0.0015928745,0.0014229907,0.00092174683,0.0021617997],"domain_scores_gemma":[0.995447,0.0018188016,0.0002513784,0.0015698944,0.0005900286,0.0003229007],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009489741,0.0011008199,0.0011292452,0.0012452005,0.0013505927,0.00032976794,0.001064535,0.0010536325,0.000072286915],"category_scores_gemma":[0.000109499466,0.0012122904,0.00085793185,0.0041559148,0.00037276716,0.00059378304,0.0000044238623,0.0021330367,0.000041124164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061029126,0.0008661723,0.000017077375,0.0022967258,0.00040363878,0.0000096508575,0.0005202494,0.9890256,0.0020956227,0.0011701763,0.0011731387,0.0018116657],"study_design_scores_gemma":[0.002928098,0.0011799391,0.000008628129,0.00084616285,0.0005730377,0.00000642491,0.00048334687,0.7886664,0.15960917,0.00029079907,0.04429396,0.0011140046],"about_ca_topic_score_codex":0.00025952363,"about_ca_topic_score_gemma":0.0006245316,"teacher_disagreement_score":0.98142046,"about_ca_system_score_codex":0.0025160683,"about_ca_system_score_gemma":0.0025233268,"threshold_uncertainty_score":0.9999495},"labels":[],"label_agreement":null},{"id":"W4415543955","doi":"10.1016/j.rser.2025.116424","title":"A comprehensive review of AI-driven approaches for smart grid stability and reliability","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Reliability (semiconductor); Stability (learning theory); Smart grid; Key (lock); Automation","score_opus":0.019739208451736122,"score_gpt":0.24133471416543217,"score_spread":0.22159550571369604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415543955","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009815682,0.9713188,0.013012288,0.00051725516,0.00020036609,0.0014114919,0.000018079481,0.00007650141,0.0036295722],"genre_scores_gemma":[0.040688112,0.9554435,0.0012450573,0.0007150181,0.00007009719,0.00052066834,0.000039070994,0.000021647571,0.0012568063],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984743,0.00013053644,0.0005720174,0.00035325112,0.00008786699,0.0003820009],"domain_scores_gemma":[0.9990183,0.00020100431,0.00006888837,0.00043034076,0.00019341428,0.00008801178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007479675,0.00022630204,0.00082796847,0.000074658485,0.00014237099,0.000023649409,0.00013898085,0.00010232778,0.000011538013],"category_scores_gemma":[0.00026043062,0.00018540415,0.00013265728,0.00038660565,0.00016430819,0.00016492335,0.00011831635,0.00010673806,1.9215338e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011154899,0.00025469525,0.0036595175,0.82704735,0.00018578519,0.000008621105,0.00048112666,0.011070478,0.0005949161,0.036607858,0.077106856,0.04287126],"study_design_scores_gemma":[0.00025273665,0.00005265817,0.00012734647,0.002606764,0.000079313395,0.0000030856659,0.00032932876,0.0060001058,0.0014600316,0.0027339307,0.9861577,0.00019697807],"about_ca_topic_score_codex":0.0003458946,"about_ca_topic_score_gemma":0.000038615006,"teacher_disagreement_score":0.9090509,"about_ca_system_score_codex":0.000059577033,"about_ca_system_score_gemma":0.00008616357,"threshold_uncertainty_score":0.7560562},"labels":[],"label_agreement":null},{"id":"W4415594433","doi":"10.1109/tia.2025.3625879","title":"Wavelet-Facilitated Resonance Attack Detection in Inverter-Based Resources","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; General Electric (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harmonic; Grid; SIGNAL (programming language); Harmonic analysis; Signal processing; Power (physics); Electric power system; Waveform; Detection theory","score_opus":0.015502051590630084,"score_gpt":0.2530033276957238,"score_spread":0.23750127610509372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415594433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25394836,0.0005850021,0.73731714,0.0014892969,0.0011813762,0.0018311591,0.000304448,0.00045930757,0.0028838865],"genre_scores_gemma":[0.99541533,0.00020086952,0.00023821129,0.000297646,0.000095521085,0.0019348802,0.000007745057,0.000043864395,0.001765958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970676,0.00014949407,0.0009053538,0.00086369505,0.00034266582,0.00067123724],"domain_scores_gemma":[0.9981782,0.00037414048,0.00009304642,0.0010285553,0.00012585375,0.00020020577],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0002883216,0.00050708186,0.00043133934,0.0009482624,0.00071260415,0.00010944367,0.0005463152,0.0014895706,0.0002342773],"category_scores_gemma":[0.000014780356,0.0006236452,0.00019982649,0.0037205312,0.0003640435,0.00024616075,0.0000032821308,0.003424713,0.00023095714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020148435,0.0012728275,0.00035819376,0.00046976242,0.00011194382,0.0000068114177,0.00081546017,0.78420335,0.009836088,0.00008950375,0.0006394997,0.20199509],"study_design_scores_gemma":[0.002571869,0.0001790508,0.0058788676,0.0011449695,0.0001774719,0.000009151121,0.0010064715,0.58929956,0.21305855,0.00023392391,0.18527123,0.0011688751],"about_ca_topic_score_codex":0.0002457614,"about_ca_topic_score_gemma":0.0010492972,"teacher_disagreement_score":0.74146694,"about_ca_system_score_codex":0.0006247693,"about_ca_system_score_gemma":0.0002360501,"threshold_uncertainty_score":0.9998067},"labels":[],"label_agreement":null},{"id":"W4415594434","doi":"10.1109/tia.2025.3625870","title":"Edge-Deployable ML Agent for Real-Time Tactic and Technique Attribution in Microgrid Security","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Microgrid; Intrusion detection system; Latency (audio); Particle swarm optimization; Software deployment; Inference; Node (physics); Cloud computing; Edge computing; Situation awareness","score_opus":0.00977497026057598,"score_gpt":0.25929771228481485,"score_spread":0.24952274202423888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415594434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023401888,0.00061058573,0.96616316,0.0013654961,0.00065540086,0.005485318,0.0007482356,0.00042668762,0.0011432258],"genre_scores_gemma":[0.9831056,0.002711201,0.0016322804,0.00010344958,0.00017024574,0.010787617,0.000035237113,0.000066776454,0.0013876178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976162,0.00007934736,0.00072877115,0.00077180954,0.0001738347,0.0006300692],"domain_scores_gemma":[0.9985025,0.0003883462,0.000103252096,0.00069315097,0.00013387036,0.00017891305],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000431929,0.00043917104,0.00044027556,0.0005618368,0.00075496547,0.00011770812,0.0002717067,0.001386955,0.00015530917],"category_scores_gemma":[0.000010086592,0.00054815586,0.0001654788,0.0016227472,0.0002486411,0.0002654315,0.000005926628,0.001932392,0.000056320117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077791134,0.009494815,0.0006891974,0.006645866,0.0012351313,0.000027014667,0.0028610586,0.35811672,0.47424915,0.009177168,0.017934022,0.11879194],"study_design_scores_gemma":[0.0028784198,0.00032195976,0.00084050384,0.0015480947,0.0007266121,0.0000817308,0.00069579633,0.05494023,0.7610027,0.0043251817,0.17097498,0.0016637612],"about_ca_topic_score_codex":0.00020891795,"about_ca_topic_score_gemma":0.00011068744,"teacher_disagreement_score":0.9645309,"about_ca_system_score_codex":0.000578916,"about_ca_system_score_gemma":0.00025906094,"threshold_uncertainty_score":0.99990946},"labels":[],"label_agreement":null},{"id":"W4415673418","doi":"10.1016/j.grets.2025.100303","title":"Secure and scalable power system event identification with renewable integration via federated LSTM and adaptive privacy mechanisms","year":2025,"lang":"en","type":"article","venue":"Green Technologies and Sustainability","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"Science and Technology Project of State Grid","keywords":"Scalability; Differential privacy; Event (particle physics); Artificial noise; Electric power system; Cyber-physical system; Grid; Identification (biology); Event data","score_opus":0.0029126770796264476,"score_gpt":0.1922942659185731,"score_spread":0.18938158883894665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415673418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7338546,0.0012966341,0.26255617,0.00067339354,0.00006042054,0.0006355527,0.0000053365975,0.0008043897,0.0001135212],"genre_scores_gemma":[0.9991573,0.00010435647,0.0005371293,0.0000053397503,0.0000027346027,0.000068412824,0.0000034503337,0.0000072353455,0.00011404016],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914825,0.000027927264,0.00019479076,0.00032840724,0.000090562215,0.00021007245],"domain_scores_gemma":[0.9994756,0.000037644313,0.000036857346,0.00024339803,0.00017893458,0.000027554745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024270303,0.00016103557,0.00019355651,0.00011861599,0.0002627828,0.000099104516,0.00009576405,0.00019993722,7.8080984e-7],"category_scores_gemma":[0.00008538972,0.00012481316,0.000014160354,0.00033642258,0.00020829836,0.00020626214,0.0001324916,0.00017708896,1.7241449e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014029775,0.0005347024,0.04597324,0.018434595,0.00086318405,0.00018525572,0.011971226,0.009427717,0.029252527,0.38042456,0.0015356033,0.49999443],"study_design_scores_gemma":[0.0014378255,0.00084105186,0.037467368,0.0006315901,0.00013837205,0.00009808733,0.22256763,0.44738337,0.07739631,0.21026458,0.0007649585,0.0010088619],"about_ca_topic_score_codex":0.00037647336,"about_ca_topic_score_gemma":0.00029232798,"teacher_disagreement_score":0.49898556,"about_ca_system_score_codex":0.00018919764,"about_ca_system_score_gemma":0.000035903762,"threshold_uncertainty_score":0.5089733},"labels":[],"label_agreement":null},{"id":"W4415707129","doi":"10.1109/tac.2025.3627271","title":"Designing Optimal Stealthy False Data Injection Attacks in Cyber-Physical Systems: Leveraging Historical Data and Kullback–Leibler Divergence Constraints","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Australian Research Council; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Leverage (statistics); Divergence (linguistics); Data modeling; Robustness (evolution); Attack model; Noisy data","score_opus":0.031084839028088063,"score_gpt":0.2748189422556686,"score_spread":0.24373410322758055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415707129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1029119,0.0020370802,0.88703233,0.00034311847,0.005359446,0.0013737755,0.0005144438,0.0003173451,0.00011053651],"genre_scores_gemma":[0.99795896,0.0003805747,0.0010947392,0.00008425914,0.00015968575,0.000094393814,0.000023039409,0.00004791076,0.00015645905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99529815,0.00056402705,0.0012735095,0.001405723,0.0005978326,0.0008607834],"domain_scores_gemma":[0.99583346,0.0015546442,0.00019510943,0.002046313,0.0000869242,0.0002835713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012536269,0.00063874637,0.0010972868,0.0007239755,0.0005888538,0.00029187286,0.0013314891,0.0003558282,0.00006349005],"category_scores_gemma":[0.0001197538,0.0007005167,0.000103258564,0.001022771,0.00030957104,0.001151446,0.000047273174,0.0011652663,0.000043242548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022314955,0.0009670459,0.00055577955,0.001870097,0.00073691434,0.000103550214,0.003564826,0.895376,0.0022093218,0.00008528763,0.0009783647,0.093329646],"study_design_scores_gemma":[0.0030140965,0.0001520335,0.00071266445,0.0015323709,0.00050140446,0.00006433149,0.0011802467,0.991645,0.0001675311,0.000014624664,0.00044373245,0.0005719832],"about_ca_topic_score_codex":0.00079933845,"about_ca_topic_score_gemma":0.00024831956,"teacher_disagreement_score":0.89504707,"about_ca_system_score_codex":0.0010981171,"about_ca_system_score_gemma":0.00042394697,"threshold_uncertainty_score":0.9995446},"labels":[],"label_agreement":null},{"id":"W4415744298","doi":"10.1109/ihtc65087.2025.11216301","title":"Time-Series Data Generation to Support Energy Planning in Remote Microgrids","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University","funders":"","keywords":"Data collection; Process (computing); Univariate; Baseline (sea); Missing data; Energy (signal processing); Electricity generation; Power (physics)","score_opus":0.02159954953848091,"score_gpt":0.2670812424515635,"score_spread":0.24548169291308258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415744298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45994025,0.0107741235,0.40580466,0.0068638707,0.014017138,0.0011639512,0.00031422998,0.000832984,0.10028879],"genre_scores_gemma":[0.908676,0.0021787595,0.03057311,0.0030731389,0.0021132838,0.000016413882,0.0013485358,0.000103673,0.051917054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802476,0.00005369608,0.0005618069,0.0006606048,0.00018411492,0.00051501155],"domain_scores_gemma":[0.99874085,0.00005252809,0.000028023462,0.0010191452,0.000038286016,0.000121149096],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037569524,0.00028407373,0.00031985046,0.00039343938,0.00013402042,0.0001630012,0.0007670279,0.00022677254,0.0004506774],"category_scores_gemma":[0.00009185332,0.00030999604,0.000038982707,0.00084436085,0.00006610886,0.000573004,0.0006148273,0.00023552221,0.00015338413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013813622,0.00014402358,0.001057763,0.00031317415,0.00016685163,0.00023281187,0.003048945,0.3653338,0.19028659,0.0038142635,0.334456,0.10100763],"study_design_scores_gemma":[0.00031613503,0.000098140015,0.00051949284,0.00025307553,0.000026008522,0.0000140764305,0.00025006977,0.6205654,0.06372284,0.000057561752,0.3137366,0.00044062408],"about_ca_topic_score_codex":0.00041358467,"about_ca_topic_score_gemma":0.000840864,"teacher_disagreement_score":0.44873577,"about_ca_system_score_codex":0.000103939805,"about_ca_system_score_gemma":0.00016779895,"threshold_uncertainty_score":0.9999352},"labels":[],"label_agreement":null},{"id":"W4415766809","doi":"10.1016/j.knosys.2025.114812","title":"Anomaly detection based self-healing mechanism using dynamic diffusion spatial-temporal graph convolutional network in industrial IoT","year":2025,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Anomaly detection; Graph; Kalman filter; Fault detection and isolation; Key (lock); Anomaly (physics); Resilience (materials science)","score_opus":0.012169649269371783,"score_gpt":0.2254088945209709,"score_spread":0.21323924525159912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415766809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65566885,0.0013685378,0.33343762,0.000012094039,0.008255465,0.00064906426,0.000013553202,0.00041313472,0.0001816875],"genre_scores_gemma":[0.99886775,0.0000056693034,0.00032828093,0.000013877192,0.00062040496,0.000069697504,0.00003404055,0.000037801216,0.000022472157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779326,0.0003296938,0.0006732022,0.00040551813,0.00025782496,0.00054052775],"domain_scores_gemma":[0.99916846,0.00022723655,0.00010319278,0.00028724896,0.0001026019,0.00011125586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000750238,0.00032368372,0.00043813346,0.0006140847,0.000295148,0.0000783557,0.0002105949,0.0004803951,0.000010377287],"category_scores_gemma":[0.0000428097,0.00034787154,0.00013753532,0.0012606668,0.000048785023,0.00007328165,0.00003459849,0.0005077811,0.000012977656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010168212,0.00017275556,0.018719163,0.0006640635,0.000050537434,0.000015496864,0.00012557443,0.96526235,0.013862096,0.00032459732,0.000091148424,0.0006105478],"study_design_scores_gemma":[0.0019599407,0.000050624374,0.0021591312,0.0010255289,0.000036949194,0.0000034858153,0.000058916772,0.9913252,0.0023072003,0.0000982443,0.00064653985,0.0003282436],"about_ca_topic_score_codex":0.0012472308,"about_ca_topic_score_gemma":0.0044311243,"teacher_disagreement_score":0.34319893,"about_ca_system_score_codex":0.00075789966,"about_ca_system_score_gemma":0.00037593523,"threshold_uncertainty_score":0.9998973},"labels":[],"label_agreement":null},{"id":"W4415777377","doi":"10.2118/229330-ms","title":"Federated Learning for Enhancing Cybersecurity Resilience in Distributed Energy Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Testbed; Software deployment; Resilience (materials science); Information privacy; Distributed generation; Grid; Replication (statistics); Energy consumption; Bandwidth (computing); Intrusion detection system","score_opus":0.0055850562222049946,"score_gpt":0.22421930208468704,"score_spread":0.21863424586248206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415777377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09594623,0.008424457,0.88172287,0.0002489576,0.004720052,0.0008928384,0.000041881867,0.0004429859,0.0075597204],"genre_scores_gemma":[0.9958942,0.00082572614,0.00009774894,0.000055915258,0.00016971432,0.00016556417,0.00006831431,0.000034425357,0.0026883706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996358,0.00023205805,0.0011423877,0.00082375435,0.00029546057,0.001148349],"domain_scores_gemma":[0.9983342,0.00087783614,0.00011831735,0.00028455342,0.00020941881,0.00017561953],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007996887,0.00050665694,0.0007326059,0.00042660953,0.00062379276,0.00041672357,0.00038742108,0.00052765716,0.000044361226],"category_scores_gemma":[0.0007564251,0.0005488347,0.0001698188,0.001824672,0.00013596006,0.0003639338,0.00015244495,0.00073653006,0.000012396922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001605407,0.00018141899,0.0026060368,0.001744358,0.0001282591,0.000038482132,0.0009265938,0.9586215,0.0073239706,0.023726195,0.0022039986,0.0023386197],"study_design_scores_gemma":[0.0011174018,0.00008866614,0.001108309,0.0014483505,0.000038664155,0.0000058023766,0.004358333,0.9586474,0.014942589,0.0002084927,0.017430576,0.00060542487],"about_ca_topic_score_codex":0.0025146815,"about_ca_topic_score_gemma":0.007667342,"teacher_disagreement_score":0.899948,"about_ca_system_score_codex":0.00054187136,"about_ca_system_score_gemma":0.00029459252,"threshold_uncertainty_score":0.9996963},"labels":[],"label_agreement":null},{"id":"W4415821121","doi":"10.1109/tnse.2025.3628244","title":"Adaptive Resilient Control Against False Data Injection Attacks for a Multi-Energy Microgrid Integrating Power and Hydrogen Energy Systems Using Deep Reinforcement Learning","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Japan Science and Technology Agency; Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Reinforcement learning; Resilience (materials science); Electric power system; Electricity; Automatic frequency control; Energy (signal processing); Power (physics)","score_opus":0.01691439725399992,"score_gpt":0.2408900165718036,"score_spread":0.22397561931780366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415821121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024795722,0.008433629,0.96289814,0.000016839565,0.0031343652,0.00049620273,0.000021032352,0.0001591991,0.000044867513],"genre_scores_gemma":[0.99432695,0.0022992874,0.0028712947,0.00007351667,0.00022079657,0.00009585874,0.000006515625,0.00004867425,0.000057116522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99667865,0.000063931715,0.0007341653,0.001031006,0.00042726478,0.001064998],"domain_scores_gemma":[0.9985043,0.00031670355,0.00013235802,0.00052630436,0.00023359808,0.00028677873],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011391337,0.00055484206,0.0005401032,0.0006292696,0.0016369075,0.00045713596,0.0004924003,0.00027084988,0.0000016760566],"category_scores_gemma":[0.000059337024,0.0005873884,0.00009631048,0.0015389567,0.0003234132,0.0009269363,0.000032654378,0.0006233418,4.1792813e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009066726,0.00003729114,0.000016675005,0.00015118682,0.00018180323,0.0000040690766,0.00047798923,0.9808541,0.0078077503,0.000342199,0.000020004216,0.010016278],"study_design_scores_gemma":[0.0010415986,0.00022789082,0.00001627526,0.0012769615,0.00016287781,0.00002764037,0.0010242398,0.99227774,0.0017597805,0.0000028398044,0.0016398084,0.0005423341],"about_ca_topic_score_codex":0.00034716434,"about_ca_topic_score_gemma":0.00018317209,"teacher_disagreement_score":0.96953124,"about_ca_system_score_codex":0.000446978,"about_ca_system_score_gemma":0.00023013749,"threshold_uncertainty_score":0.9996628},"labels":[],"label_agreement":null},{"id":"W4415933681","doi":"10.1109/mnet.2025.3622918","title":"An Explainable Deep Learning System for Cyberattack Detection in Internet of Energy Networks","year":2025,"lang":"","type":"article","venue":"IEEE Network","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Trent University; Ontario Tech University","funders":"","keywords":"Deep learning; Denial-of-service attack; Intrusion detection system; Convolutional neural network; The Internet; Benchmark (surveying); Interpretability; Software deployment; Dropout (neural networks); Energy consumption","score_opus":0.00549504770951781,"score_gpt":0.21525149150152903,"score_spread":0.20975644379201122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415933681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1360853,0.008828381,0.8291886,0.000007591247,0.023472734,0.0004593654,0.0000011963249,0.00017777164,0.0017790816],"genre_scores_gemma":[0.9952048,0.0005083214,0.0002395098,0.000022052884,0.003472132,0.00014517955,0.000010786347,0.000051710384,0.00034548092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973589,0.00026277817,0.0008439176,0.00050899305,0.00015543448,0.000869958],"domain_scores_gemma":[0.99884564,0.00039214134,0.00017112998,0.00036701595,0.00011135335,0.000112698064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068123074,0.0003604081,0.0006198585,0.00023884694,0.00020110466,0.000094516035,0.00037867474,0.00052795047,0.000006354475],"category_scores_gemma":[0.000029158433,0.0004221664,0.00016820007,0.0011366527,0.000074611446,0.00026077844,0.000046552694,0.0005794466,0.0000021816302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003041903,0.000055333097,0.0010149743,0.00070836063,0.00008978677,0.000009840651,0.00044029296,0.9815382,0.00035142552,0.0011709512,0.0006495115,0.013667147],"study_design_scores_gemma":[0.0007292781,0.00028260687,0.000506091,0.0016741859,0.000059451584,0.000005818248,0.00042111543,0.97935665,0.0066276505,0.00010512349,0.00989713,0.00033488197],"about_ca_topic_score_codex":0.000342799,"about_ca_topic_score_gemma":0.0017756677,"teacher_disagreement_score":0.85911953,"about_ca_system_score_codex":0.00033214942,"about_ca_system_score_gemma":0.00004070869,"threshold_uncertainty_score":0.99982303},"labels":[],"label_agreement":null},{"id":"W4416109903","doi":"10.1145/3776544","title":"Event-Based Privacy Preserving Resilient Leader-Follower Consensus Control against Cyber-Attacks in Multi-Agent Cyber-Physical Systems","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Resilience (materials science); Control (management); Information privacy; Bounded function; Multi-agent system; Scheme (mathematics)","score_opus":0.019072282262448018,"score_gpt":0.27158095766037305,"score_spread":0.25250867539792504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416109903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88423496,0.0009338803,0.103821166,0.00079511316,0.0049921065,0.0029864137,0.00023957375,0.0008891917,0.0011075914],"genre_scores_gemma":[0.99750215,0.00003353692,0.00011369306,0.00012134014,0.00035582436,0.0008677386,0.000025211219,0.00011061536,0.0008698973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99507797,0.0005682982,0.0011513575,0.0010720141,0.00091569626,0.0012146438],"domain_scores_gemma":[0.9959719,0.0015105084,0.00015905198,0.0017906413,0.00017737024,0.00039052923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000423415,0.0008481086,0.001309081,0.0005287123,0.0004248404,0.0002574155,0.0011301904,0.00041133858,0.000009825039],"category_scores_gemma":[0.00016577683,0.0008041628,0.00061299675,0.001251296,0.0002443859,0.00024328908,0.0000361244,0.0013623345,0.00021756964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014744521,0.0017900108,0.0004378222,0.0007070912,0.00034942155,0.00008717379,0.0010627776,0.9830146,0.01010636,0.0003571652,0.0009992775,0.00094087486],"study_design_scores_gemma":[0.0050987075,0.00020597679,0.0024686866,0.0019080926,0.0002009397,0.000010041395,0.0011928233,0.9747545,0.0052482965,0.000040582716,0.0078047793,0.0010665522],"about_ca_topic_score_codex":0.00089641486,"about_ca_topic_score_gemma":0.00028534388,"teacher_disagreement_score":0.113267176,"about_ca_system_score_codex":0.0007601488,"about_ca_system_score_gemma":0.00018795923,"threshold_uncertainty_score":0.9994409},"labels":[],"label_agreement":null},{"id":"W4416136199","doi":"10.1109/pesgm52009.2025.11225128","title":"Harmonic Injection Attack on a PV-Integrated Distribution System","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harmonics; Modbus; Grid; Harmonic; Distributed generation; Smart grid; SCADA; Controller (irrigation); Harmonic analysis","score_opus":0.012558153326869551,"score_gpt":0.24202637528251086,"score_spread":0.22946822195564132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6074875,0.002875569,0.2941799,0.0009171642,0.017930664,0.0013095511,0.00020765972,0.001938072,0.07315396],"genre_scores_gemma":[0.9954693,0.00024384791,0.000030837553,0.00006707812,0.00019229288,0.00003294182,0.00007919883,0.000018729375,0.0038657896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810344,0.0001089694,0.0005194242,0.00047819765,0.00028495092,0.0005049906],"domain_scores_gemma":[0.99916404,0.000115378454,0.00005511945,0.00042165455,0.00013077456,0.00011301793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028144324,0.00036469722,0.00034264487,0.00018626335,0.00032893254,0.00018547139,0.00026540455,0.0003864643,0.00013755081],"category_scores_gemma":[0.00008177063,0.0003338863,0.00017389895,0.0013286076,0.00007512364,0.0001755409,0.000057885467,0.0006425189,0.00065746164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007740648,0.00086288387,0.0019205872,0.006326003,0.0009777161,0.00010181521,0.0010292475,0.566444,0.0059012687,0.19997169,0.18542527,0.030265499],"study_design_scores_gemma":[0.000940211,0.00033008054,0.0050961054,0.003131491,0.00014486113,0.000028316466,0.0018657037,0.9085022,0.029041171,0.000042670992,0.050306402,0.0005707721],"about_ca_topic_score_codex":0.00023002026,"about_ca_topic_score_gemma":0.000074989424,"teacher_disagreement_score":0.3879818,"about_ca_system_score_codex":0.0012668581,"about_ca_system_score_gemma":0.00013807279,"threshold_uncertainty_score":0.9999113},"labels":[],"label_agreement":null},{"id":"W4416136893","doi":"10.1109/pesgm52009.2025.11225738","title":"Distributed State Estimation in Multi-area DC MGs Experiencing Denial-of-Service Attacks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Estimator; Reliability (semiconductor); State (computer science); Microgrid; Estimation; Covariance; Key (lock); Electric power system","score_opus":0.017018013371094005,"score_gpt":0.2746948765123786,"score_spread":0.25767686314128463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5943231,0.00059470366,0.40307057,0.00021489915,0.0008942153,0.00033165616,0.00004153366,0.00009752748,0.0004317946],"genre_scores_gemma":[0.99445957,0.00017719912,0.0049845534,0.00010666631,0.000013301756,0.00003732595,0.0000467609,0.00002027614,0.00015432521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997693,0.00007239915,0.0009525574,0.00044554754,0.0002692327,0.0005672491],"domain_scores_gemma":[0.9989244,0.00025010027,0.00010365172,0.00044161698,0.00016615982,0.000114096845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028123954,0.00035283322,0.0004799397,0.00033246173,0.00012406551,0.000077747725,0.0004010254,0.00023845992,0.0001822134],"category_scores_gemma":[0.00023183544,0.00037308954,0.0000925154,0.0018625733,0.000088074674,0.00044764148,0.00018483002,0.0003902676,0.000030806503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006436934,0.00023175307,0.008073206,0.0010194377,0.00006293983,0.000022616743,0.016342992,0.95837504,0.012144469,0.0003942627,0.00018822629,0.003080676],"study_design_scores_gemma":[0.001127146,0.000024677942,0.021445291,0.0007059156,0.000024957051,0.0000023437124,0.0024195623,0.9155147,0.058032203,0.00009843154,0.00026603814,0.00033871937],"about_ca_topic_score_codex":0.0016683794,"about_ca_topic_score_gemma":0.0039199763,"teacher_disagreement_score":0.40013647,"about_ca_system_score_codex":0.00027098146,"about_ca_system_score_gemma":0.00016290374,"threshold_uncertainty_score":0.9998721},"labels":[],"label_agreement":null},{"id":"W4416136934","doi":"10.1109/pesgm52009.2025.11225656","title":"Cyber-Attack Detection on Distance Relays for Parallel Transmission Lines in Digital Substations","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"IEC 61850; Protocol (science); Electric power transmission; Transmission (telecommunications); Protective relay; Communications protocol; Data transmission","score_opus":0.01196402041431272,"score_gpt":0.2568204499843978,"score_spread":0.24485642957008508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416136934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12806775,0.0010107195,0.8597856,0.00075213297,0.0012635876,0.00110854,0.000049838927,0.0001464572,0.007815338],"genre_scores_gemma":[0.99411714,0.0007532634,0.0010614994,0.000058145844,0.00009845823,0.0001711215,0.000025158253,0.00002403439,0.0036911874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848104,0.000015619047,0.00052803644,0.00041770394,0.00015470487,0.0004029052],"domain_scores_gemma":[0.99913824,0.00043186138,0.000037401765,0.00023622034,0.00006778165,0.00008849728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110878245,0.00027218784,0.00025628044,0.00026129547,0.0002174064,0.00013713854,0.00017304147,0.00023870602,0.000029823297],"category_scores_gemma":[0.00011399542,0.00026284563,0.00015428795,0.00071804493,0.000064420026,0.00043293036,0.000012986229,0.00032357842,0.00002556221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007230876,0.0005857306,0.0011116342,0.0009895979,0.000072485585,0.00000981167,0.0021741323,0.81721395,0.0019473938,0.018634923,0.0016385843,0.15489867],"study_design_scores_gemma":[0.0023918417,0.00027594803,0.006770098,0.0010774945,0.000042023894,0.0000023103596,0.0006533022,0.86451757,0.01391978,0.0037317004,0.10599072,0.00062721723],"about_ca_topic_score_codex":0.000019370993,"about_ca_topic_score_gemma":0.00068640726,"teacher_disagreement_score":0.86604935,"about_ca_system_score_codex":0.00014748893,"about_ca_system_score_gemma":0.00005062962,"threshold_uncertainty_score":0.99998236},"labels":[],"label_agreement":null},{"id":"W4416214608","doi":"10.1109/tdsc.2025.3632657","title":"Feed-Forward Controller-Based Recovery for Robotic Vehicles From Physical Attacks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale","keywords":"Controller (irrigation); Spoofing attack; Cyber-physical system; Wireless sensor network; Robot","score_opus":0.009299893048253037,"score_gpt":0.24029752300071325,"score_spread":0.2309976299524602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416214608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22504817,0.0014533054,0.7689748,0.0003558993,0.0029812732,0.000708848,0.0001400851,0.00019414409,0.00014348699],"genre_scores_gemma":[0.99666685,0.00018616661,0.002020691,0.0003281216,0.00044402885,0.000037905185,0.000014314863,0.000062222745,0.0002396858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99727535,0.00011884642,0.00064154126,0.00086422864,0.0002921236,0.0008078805],"domain_scores_gemma":[0.99694115,0.0022390666,0.00011353566,0.00036048156,0.00012764965,0.0002181043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025699375,0.000606153,0.0009292578,0.00032303538,0.0011167655,0.00031341516,0.00032222577,0.00041921376,0.000027381224],"category_scores_gemma":[0.000021383747,0.0006383867,0.0005241763,0.00050050294,0.00014903802,0.00023556032,0.000006090677,0.0009600956,0.000021256352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042593293,0.000342798,0.000028266546,0.00046482682,0.0004840761,0.000010415642,0.00062303693,0.9324086,0.0026205508,0.00011309253,0.00031395498,0.062164467],"study_design_scores_gemma":[0.0035394528,0.00032611366,0.00011540892,0.0009947813,0.0005241364,0.000003971283,0.00032684449,0.9661397,0.025712835,0.0005563107,0.0011669272,0.0005935489],"about_ca_topic_score_codex":0.00016764083,"about_ca_topic_score_gemma":0.0001415158,"teacher_disagreement_score":0.7716187,"about_ca_system_score_codex":0.00015423878,"about_ca_system_score_gemma":0.00017002235,"threshold_uncertainty_score":0.9996067},"labels":[],"label_agreement":null},{"id":"W4416250674","doi":"10.1109/ijcnn64981.2025.11228974","title":"Penetration Testing of Cyber-Physical Attacks in Smart Grids Based on Partially Observable Markov Decision Process","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Mitacs; Concordia University","keywords":"Partially observable Markov decision process; Markov decision process; Smart grid; Reinforcement learning; Process (computing); Grid; Observable; Markov process","score_opus":0.01626520382684903,"score_gpt":0.27489096493619136,"score_spread":0.2586257611093423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416250674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95252424,0.000113864175,0.02405866,0.00017476159,0.00091959856,0.0005819234,0.000007843048,0.00009993981,0.02151918],"genre_scores_gemma":[0.9960799,0.000020707304,0.0033428061,0.00012777094,0.00013834702,0.00004155794,0.00000932367,0.000027052136,0.00021249923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972375,0.000101974205,0.0008834791,0.0006048392,0.00059740874,0.0005747765],"domain_scores_gemma":[0.9974309,0.0016206935,0.00010890582,0.0004983162,0.0002245245,0.000116660376],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005954496,0.00039109905,0.00055508234,0.00036250707,0.00013964683,0.00009058804,0.0004215918,0.00027613775,0.000101077094],"category_scores_gemma":[0.00087991083,0.00038082374,0.00013275782,0.002089023,0.00010546274,0.00034281163,0.000071809416,0.00055308104,0.000023589164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028497947,0.0007431239,0.0930195,0.00087534264,0.000019859168,0.000016118871,0.00036954883,0.87954664,0.0053785983,0.00062297046,0.00027641322,0.018846883],"study_design_scores_gemma":[0.0009456573,0.0002771581,0.11735468,0.0018747993,0.00003247614,7.098624e-7,0.0001151144,0.8382154,0.040315166,0.00038433322,0.00017498744,0.00030951735],"about_ca_topic_score_codex":0.00022259688,"about_ca_topic_score_gemma":0.00083954923,"teacher_disagreement_score":0.043555707,"about_ca_system_score_codex":0.00015102907,"about_ca_system_score_gemma":0.00042849616,"threshold_uncertainty_score":0.99986434},"labels":[],"label_agreement":null},{"id":"W4416286640","doi":"10.1109/epec65543.2025.11230419","title":"Cost Parameter Recovery Attack via Exploitation of Real-time Price Signals in Power System","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Exploit; Electric power system; Key (lock); Marginal cost; Function (biology); Power (physics); Resource (disambiguation); Lagrange multiplier","score_opus":0.016352778381153937,"score_gpt":0.2550112105486618,"score_spread":0.2386584321675079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416286640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89254814,0.0007546619,0.036891863,0.00009813011,0.0017751133,0.001161134,0.000020655956,0.0001563573,0.066593915],"genre_scores_gemma":[0.9960651,0.00036206105,0.0013886269,0.000038041053,0.000037826878,0.00005460355,0.000007037559,0.000026565163,0.0020201406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974546,0.00019094162,0.001136231,0.00043552488,0.00030506795,0.00047763324],"domain_scores_gemma":[0.99802274,0.0011277273,0.00015446251,0.0004609393,0.0001414796,0.000092683425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006626357,0.0003116423,0.00063158595,0.00047691885,0.000054238986,0.000057468304,0.00028733985,0.00033291156,0.0005376336],"category_scores_gemma":[0.00019285553,0.00031726318,0.00016629459,0.0011140119,0.00007887495,0.00045353992,0.00008337709,0.0002739816,0.0002640542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008136635,0.00086194795,0.0038855877,0.009226628,0.00069319893,0.00012271269,0.009703254,0.81420594,0.13836367,0.003243724,0.013838382,0.0050413124],"study_design_scores_gemma":[0.0024829127,0.00055908266,0.02236457,0.0077419057,0.00017956684,0.000023568315,0.006743013,0.850434,0.10622144,0.00039600892,0.0014054962,0.0014484149],"about_ca_topic_score_codex":0.00024587635,"about_ca_topic_score_gemma":0.000031892847,"teacher_disagreement_score":0.10351693,"about_ca_system_score_codex":0.00038457554,"about_ca_system_score_gemma":0.00009698726,"threshold_uncertainty_score":0.99992794},"labels":[],"label_agreement":null},{"id":"W4416341597","doi":"10.1109/epec65543.2025.11230477","title":"Rethinking Smart Grid Mesh Network with Dual Border Routers for Asset Integration","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Router; Smart grid; Node (physics); Smart meter; Default gateway; Network architecture; Grid; Private network","score_opus":0.009121250620855033,"score_gpt":0.2464896346256712,"score_spread":0.23736838400481616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416341597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04027038,0.0017897284,0.9167081,0.0033406925,0.01346856,0.0017235002,0.000041178468,0.0005159743,0.022141902],"genre_scores_gemma":[0.95799726,0.00058380165,0.032603133,0.0014746512,0.0020147117,0.00017110234,0.00013647316,0.00007503616,0.0049438244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997823,0.00006598584,0.00053347496,0.00053921796,0.000291881,0.0007464447],"domain_scores_gemma":[0.9988005,0.0004196605,0.00007941865,0.00042021184,0.00016915912,0.000111022964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006153981,0.00042563185,0.0004259695,0.00014945272,0.00047005236,0.00029901328,0.00026669525,0.00035620583,0.0001424348],"category_scores_gemma":[0.000099803176,0.00035407004,0.0001535238,0.0007994957,0.0001213002,0.0004390264,0.00008256656,0.0006057867,0.000012974458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010295822,0.000207623,0.0066337846,0.0014501152,0.0014910972,0.000043473912,0.0100751575,0.45648578,0.00080374,0.20902091,0.27938053,0.03337822],"study_design_scores_gemma":[0.0022739468,0.0005646583,0.0035902718,0.0023109454,0.0004282201,0.00002199852,0.001192102,0.83385473,0.0049405717,0.0070618535,0.14252207,0.0012386389],"about_ca_topic_score_codex":0.00011605464,"about_ca_topic_score_gemma":0.0014727799,"teacher_disagreement_score":0.9177269,"about_ca_system_score_codex":0.00015380268,"about_ca_system_score_gemma":0.00017977104,"threshold_uncertainty_score":0.9998911},"labels":[],"label_agreement":null},{"id":"W4416341777","doi":"10.1109/epec65543.2025.11230402","title":"Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Essays on Canadian Writing; University of Toronto","funders":"","keywords":"Inference; Control (management); Smart grid; Error detection and correction; Deep learning; Digitization","score_opus":0.008476939807490329,"score_gpt":0.25263696348457754,"score_spread":0.2441600236770872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416341777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18319632,0.0023844014,0.80993164,0.00011897563,0.0021812804,0.0015942681,0.000034318156,0.00020427536,0.00035452706],"genre_scores_gemma":[0.9938161,0.000028283861,0.0043503577,0.00021581665,0.00031178494,0.0006908886,0.000018050332,0.000032307024,0.0005364336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804384,0.00011282877,0.00063276174,0.00040128257,0.00018532657,0.0006239869],"domain_scores_gemma":[0.9990044,0.00037191412,0.00006965227,0.0003877116,0.0000890536,0.00007725815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063859776,0.00030241703,0.0004405605,0.00035651764,0.0002739633,0.0002292317,0.00017468676,0.00050128467,0.00003805841],"category_scores_gemma":[0.00026813237,0.0003140715,0.0001269556,0.0005651571,0.000024381585,0.0002575258,0.000017422633,0.00036927298,0.000017153689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003061257,0.00011818723,0.0000466256,0.0014011525,0.000041703377,0.000004396472,0.0011127664,0.9721813,0.0061050616,0.018020509,0.00027608758,0.00066155224],"study_design_scores_gemma":[0.002058652,0.000059064932,0.00003849573,0.0005436656,0.000056515004,8.5280544e-7,0.0012044883,0.9807115,0.014485095,0.00033174356,0.0002069949,0.00030293205],"about_ca_topic_score_codex":0.000098642064,"about_ca_topic_score_gemma":0.00067832565,"teacher_disagreement_score":0.8106198,"about_ca_system_score_codex":0.0003746946,"about_ca_system_score_gemma":0.00014043743,"threshold_uncertainty_score":0.99993116},"labels":[],"label_agreement":null},{"id":"W4416341852","doi":"10.1109/epec65543.2025.11230448","title":"Optimal Planning for Enhancing the Resilience of Modern Distribution Systems Against Cyberattacks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Essays on Canadian Writing; University of Toronto","funders":"","keywords":"Resilience (materials science); Exploit; Smart grid; Grid; Vulnerability (computing); Transmission (telecommunications); Critical infrastructure","score_opus":0.009093344702884693,"score_gpt":0.2541782528825008,"score_spread":0.2450849081796161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416341852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24759108,0.00883235,0.7374954,0.0001281578,0.0021251081,0.0008046256,0.00010414325,0.000075892356,0.0028431993],"genre_scores_gemma":[0.99816763,0.00022834873,0.00032443288,0.0000386259,0.00021270395,0.000088239074,0.000035777357,0.000017958422,0.0008862504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978125,0.00007584294,0.0008762785,0.0003573315,0.00027541883,0.00060258905],"domain_scores_gemma":[0.99827814,0.00079363445,0.00013863535,0.0005085676,0.00020525951,0.00007575842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007842996,0.0003096347,0.00043755383,0.000087524444,0.00052936096,0.00015666592,0.000551933,0.00024998534,0.0000052775276],"category_scores_gemma":[0.00028008717,0.00023965305,0.00018089774,0.00051596254,0.00021572252,0.00023717685,0.00012762003,0.00036494137,0.0000037634431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058354803,0.000036376365,0.00018860909,0.0009687087,0.00008909312,0.0000017325585,0.0018715106,0.96923447,0.016000185,0.008485749,0.0017391464,0.0013260876],"study_design_scores_gemma":[0.00038340557,0.000059743867,0.00039382788,0.0014716615,0.000066949695,0.0000030039585,0.0033250288,0.9417453,0.04993019,0.0000873401,0.002276926,0.00025664587],"about_ca_topic_score_codex":0.000046072455,"about_ca_topic_score_gemma":0.00003139014,"teacher_disagreement_score":0.7505766,"about_ca_system_score_codex":0.00016238858,"about_ca_system_score_gemma":0.00017629708,"threshold_uncertainty_score":0.9772768},"labels":[],"label_agreement":null},{"id":"W4416342705","doi":"10.1109/epec65543.2025.11230395","title":"Constrained H <sub>2</sub> /H <sub>∞</sub> Control Design of Dynamic Virtual Power Plants via System Level Synthesis and Simple Pole Approximation","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Convex optimization; Task (project management); Power (physics); Aggregate (composite); Electric power system; Simple (philosophy); Regular polygon; Control (management)","score_opus":0.00764923274972087,"score_gpt":0.1965449207160514,"score_spread":0.18889568796633052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416342705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49358487,0.00051127566,0.50324744,0.000058723355,0.0006144469,0.0010806402,0.0003598858,0.00019182255,0.00035092598],"genre_scores_gemma":[0.99883336,0.0002953138,0.0005356842,0.00006491655,0.000054783155,0.00010917164,0.000023182556,0.0000691198,0.000014499516],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956737,0.00044696315,0.0014541199,0.00086476974,0.0005848267,0.00097562186],"domain_scores_gemma":[0.9964686,0.0020770857,0.0003269655,0.0006278342,0.00020044646,0.00029903534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010513631,0.0007969776,0.0012981704,0.0006118824,0.0003797711,0.00015458526,0.00042900475,0.0006917264,0.000025277994],"category_scores_gemma":[0.00035949322,0.0008086179,0.00023474933,0.000580006,0.00053823285,0.00045321378,0.00012986228,0.00048339184,0.000046821875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000422775,0.00020388796,0.00012106555,0.001560376,0.00071091595,0.000033208118,0.0007556905,0.031748854,0.9378082,0.0038867148,0.00016722128,0.022581076],"study_design_scores_gemma":[0.0014459195,0.00014287504,0.0013531839,0.00072024943,0.0002191394,0.000057194222,0.0018062134,0.5282743,0.46538585,0.00009638511,0.0000046330197,0.0004940783],"about_ca_topic_score_codex":0.000044551973,"about_ca_topic_score_gemma":0.00006023913,"teacher_disagreement_score":0.5052485,"about_ca_system_score_codex":0.00033249322,"about_ca_system_score_gemma":0.000296173,"threshold_uncertainty_score":0.9994365},"labels":[],"label_agreement":null},{"id":"W4416420420","doi":"10.1016/j.jii.2025.101013","title":"An anonymization framework for IEC 61850 substation communications: Field-level and topology-aware privacy","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Siemens (Canada); University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"IEC 61850; Testbed; Network packet; Encryption; Data sharing; Cryptography; Field (mathematics); Information privacy","score_opus":0.04567730763798369,"score_gpt":0.3182157208951674,"score_spread":0.27253841325718375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416420420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080139495,0.00011863234,0.916669,0.0013862669,0.0012019179,0.00028486573,0.000014806862,0.0000362863,0.00014873888],"genre_scores_gemma":[0.98202986,0.00044527827,0.016874637,0.00028204996,0.00022860327,0.000018329836,0.000110981826,0.0000045701436,0.0000056655845],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907106,0.000047887508,0.0006374867,0.000041470656,0.00011409856,0.00008798385],"domain_scores_gemma":[0.9987697,0.00033303036,0.000251519,0.0001760531,0.00042841578,0.000041252457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039639202,0.00009009172,0.00014133609,0.0003157397,0.000145846,0.00016583122,0.00020965756,0.0002727043,0.000010503756],"category_scores_gemma":[0.0008700267,0.000080503996,0.000040747007,0.0002573293,0.00003638224,0.0025804206,0.000013571106,0.00035606904,0.0000012052049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005545185,0.00010927771,0.0028286178,0.00014390782,0.00013797845,3.7978984e-7,0.011961719,0.021923378,0.0011914585,0.14701809,0.017798074,0.7963326],"study_design_scores_gemma":[0.005046518,0.0014576423,0.0040675476,0.0019958685,0.00019709379,0.000046670135,0.015677352,0.82697606,0.04566034,0.054590844,0.043649167,0.00063490856],"about_ca_topic_score_codex":0.000011026314,"about_ca_topic_score_gemma":0.000019529676,"teacher_disagreement_score":0.9018904,"about_ca_system_score_codex":0.000081893864,"about_ca_system_score_gemma":0.00009070938,"threshold_uncertainty_score":0.32828578},"labels":[],"label_agreement":null},{"id":"W4416445006","doi":"10.1016/j.rser.2025.116526","title":"A comprehensive review of reinforcement learning-based voltage control in smart grids","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Reinforcement learning; Smart grid; Software deployment; Grid; Control (management); Novelty; Control system; Electric power system","score_opus":0.005659673755531325,"score_gpt":0.22085205090536789,"score_spread":0.21519237714983655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416445006","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00086751644,0.9457938,0.041519504,0.00016189832,0.0001434229,0.00066940906,0.0000010830554,0.0000677627,0.0107755745],"genre_scores_gemma":[0.21122383,0.7793978,0.000047349695,0.0017695432,0.00002906378,0.0002213935,0.000021109718,0.000017436465,0.007272514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998463,0.00012288176,0.0006457249,0.00021395518,0.00012333492,0.00043111952],"domain_scores_gemma":[0.99933946,0.00011514408,0.00008475847,0.0002732367,0.00012069736,0.000066697874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057850545,0.00021651438,0.00077979855,0.00020730587,0.000081289225,0.000017006514,0.0001505578,0.000085926156,0.00004255862],"category_scores_gemma":[0.00013991389,0.00018708734,0.000117123884,0.000708913,0.000062534644,0.000101616206,0.000048366313,0.00015150872,0.0000014420766],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004616249,0.0000654638,0.001193188,0.12289094,0.00007020903,0.00006398854,0.00008045358,0.83607185,0.00078614533,0.00486949,0.024129916,0.009732181],"study_design_scores_gemma":[0.0006350435,0.000057023324,0.00005395444,0.0069491654,0.000037419795,0.0000015053803,0.000117781565,0.03824591,0.00063645677,0.00012595914,0.95296615,0.00017360026],"about_ca_topic_score_codex":0.00093978277,"about_ca_topic_score_gemma":0.00006706468,"teacher_disagreement_score":0.9288363,"about_ca_system_score_codex":0.00008998086,"about_ca_system_score_gemma":0.00010342785,"threshold_uncertainty_score":0.76292},"labels":[],"label_agreement":null},{"id":"W4416513120","doi":"10.1109/mnet.2025.3631390","title":"A Graph Isomorphism Network-Based Deep Learning Approach to Mitigate Smart Contract Vulnerabilities in Smart Grids","year":2025,"lang":"","type":"article","venue":"IEEE Network","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Deep learning; Smart grid; Convolutional neural network; Graph; Delegate; Hyperparameter optimization; Code (set theory)","score_opus":0.008730295297544764,"score_gpt":0.21459732700600975,"score_spread":0.205867031708465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416513120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.681779,0.0490894,0.13351583,0.0015995565,0.08074775,0.005810124,0.000053286378,0.0016062201,0.04579879],"genre_scores_gemma":[0.98844814,0.00072656444,0.0014727361,0.0015590537,0.006351044,0.00047720043,0.000053129555,0.00014240277,0.0007697529],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923384,0.0009649737,0.0016460863,0.0014413089,0.000652454,0.0029567874],"domain_scores_gemma":[0.9965476,0.0015062453,0.00019648072,0.0009984355,0.0001724597,0.00057878555],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022670964,0.0011331845,0.0015436064,0.00057054067,0.00091201614,0.0003738681,0.0009707924,0.0008990744,0.00007169742],"category_scores_gemma":[0.00023070103,0.0012856242,0.00055288454,0.0040979558,0.00048984744,0.00031552126,0.00015977884,0.0030918515,0.000100268946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039385678,0.00026568613,0.037339043,0.00065246056,0.00021288048,0.000059774964,0.0012689114,0.9389235,0.000079849735,0.0012557685,0.017459158,0.0020891551],"study_design_scores_gemma":[0.0030140202,0.00038630996,0.026136141,0.003371525,0.00022908709,0.000017052173,0.00029618674,0.87212515,0.0002620527,0.0032762603,0.08885242,0.0020337817],"about_ca_topic_score_codex":0.00052864803,"about_ca_topic_score_gemma":0.001621315,"teacher_disagreement_score":0.3066691,"about_ca_system_score_codex":0.00041458302,"about_ca_system_score_gemma":0.00028571187,"threshold_uncertainty_score":0.99920803},"labels":[],"label_agreement":null},{"id":"W4416642218","doi":"10.1016/j.csa.2025.100115","title":"An intelligent authentication &amp; intrusion detection system for securing advanced metering infrastructure","year":2025,"lang":"en","type":"article","venue":"Cyber Security and Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sainte Foy; Université du Québec à Rimouski","funders":"","keywords":"Spoofing attack; Intrusion detection system; Authentication (law); Scalability; Metering mode; Wireless; Anomaly detection; False alarm; Wireless sensor network","score_opus":0.004679608097484009,"score_gpt":0.2388252040764558,"score_spread":0.23414559597897178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416642218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46412134,0.0004157555,0.5339283,0.00002596813,0.00026542347,0.000620339,0.000019546373,0.00031702218,0.0002863479],"genre_scores_gemma":[0.99730283,0.0001454601,0.001701597,0.00001884134,0.00012619523,0.00063496944,0.000044155582,0.0000142732215,0.000011673172],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925345,0.000014175404,0.00022379095,0.00026396013,0.00006943893,0.00017517303],"domain_scores_gemma":[0.99948657,0.00005424949,0.000034683704,0.0002965792,0.000054154345,0.00007379458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011087094,0.00013947896,0.00013505078,0.00012044284,0.00033193303,0.00007858498,0.00014506676,0.00011830723,0.000003532709],"category_scores_gemma":[0.000011383596,0.0001461993,0.000040577157,0.0002623906,0.000046582,0.000207493,0.00003575044,0.00015187476,0.000004556972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006660874,0.00013891033,0.00024679053,0.0030472782,0.00012892361,4.1303684e-7,0.008600215,0.04048706,0.50034475,0.08238546,0.00012875757,0.36442482],"study_design_scores_gemma":[0.0009760673,0.00007612591,0.0033752997,0.00046063252,0.00020716459,0.000027567523,0.0039443457,0.23262368,0.49994695,0.04086117,0.21655573,0.0009452725],"about_ca_topic_score_codex":0.000007263391,"about_ca_topic_score_gemma":0.00008996794,"teacher_disagreement_score":0.5331815,"about_ca_system_score_codex":0.000087675005,"about_ca_system_score_gemma":0.0000107686465,"threshold_uncertainty_score":0.5961834},"labels":[],"label_agreement":null},{"id":"W4416798310","doi":"10.1109/tia.2025.3637707","title":"Guest Editorial Cybersecurity and Resilience of Networked Microgrids","year":2025,"lang":"","type":"editorial","venue":"IEEE Transactions on Industry Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Resilience (materials science); Scope (computer science); Editorial board; Cyber threats; Critical infrastructure","score_opus":0.00521958183639885,"score_gpt":0.2395275039099561,"score_spread":0.23430792207355727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416798310","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00091970665,0.0007692492,0.09396766,0.00014535795,0.8984405,0.0018241627,0.0025457395,0.0002521109,0.0011355203],"genre_scores_gemma":[0.07389698,0.0043211207,0.00035367414,0.000020493346,0.9185784,0.0014724991,0.00010305366,0.000093857365,0.001159952],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995136,0.00015288284,0.0014804283,0.0013197925,0.0010739568,0.0008369346],"domain_scores_gemma":[0.9953181,0.0017706804,0.00039361254,0.0014625833,0.0005963525,0.00045866007],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005316964,0.0009480122,0.0010540521,0.00057443796,0.0010066144,0.00014739436,0.001091867,0.006268504,0.00010881335],"category_scores_gemma":[0.000057529473,0.00112973,0.0003639,0.0019387689,0.0011831158,0.00030040924,0.000015378022,0.008298157,0.00004234974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021509282,0.0010206447,0.000012471965,0.0010886828,0.00043739445,0.0000032858798,0.0005412692,0.08175792,0.0013722077,0.00015557588,0.90818286,0.0052125845],"study_design_scores_gemma":[0.0011183036,0.00020142531,0.000018835626,0.000993151,0.00066260056,0.0000073703636,0.00032063163,0.0014694412,0.012418064,0.00013770674,0.9816601,0.0009923275],"about_ca_topic_score_codex":0.00030873506,"about_ca_topic_score_gemma":0.0001422656,"teacher_disagreement_score":0.09361399,"about_ca_system_score_codex":0.00033243737,"about_ca_system_score_gemma":0.00096914655,"threshold_uncertainty_score":0.9991153},"labels":[],"label_agreement":null},{"id":"W4416799512","doi":"10.1109/snpd65828.2025.11254587","title":"Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"","keywords":"Critical infrastructure; Resilience (materials science); Vulnerability (computing); Interconnectivity; Adversarial system; Cyber threats; Critical infrastructure protection; Vulnerability assessment","score_opus":0.005124386946005244,"score_gpt":0.2695574448464915,"score_spread":0.26443305790048627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416799512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03098115,0.0008757537,0.93530524,0.007871241,0.005646143,0.0014744011,0.00020489008,0.0008559348,0.016785238],"genre_scores_gemma":[0.90333074,0.0001586429,0.09352833,0.0015768904,0.0006818345,0.00013542274,0.00007002313,0.00006574563,0.00045239244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969049,0.000100750935,0.0008176233,0.0008201887,0.00035208234,0.0010044214],"domain_scores_gemma":[0.99627197,0.0022870621,0.000061151,0.0007716928,0.00029159102,0.0003165571],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003456743,0.00060757116,0.0006651068,0.0002882883,0.0005488589,0.00030140742,0.00049997703,0.0011600074,0.0015688089],"category_scores_gemma":[0.0012336908,0.0006360967,0.00040689853,0.00075095484,0.0005340771,0.00036358772,0.000097743025,0.0009441845,0.000120928766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019291075,0.00022385828,0.0009841911,0.0018190864,0.00018965093,0.000015779056,0.00087296567,0.043415334,0.0022862712,0.9279385,0.01735676,0.0047047017],"study_design_scores_gemma":[0.00096235104,0.000178157,0.0044972827,0.0008018234,0.00027776207,0.0000048348375,0.00016612395,0.6515995,0.024070041,0.31060603,0.006019433,0.00081663026],"about_ca_topic_score_codex":0.000089123394,"about_ca_topic_score_gemma":0.00003057092,"teacher_disagreement_score":0.87234956,"about_ca_system_score_codex":0.00040053323,"about_ca_system_score_gemma":0.00054892304,"threshold_uncertainty_score":0.99960905},"labels":[],"label_agreement":null},{"id":"W4416799787","doi":"10.1109/snpd65828.2025.11254972","title":"Advancing Zero Trust Security in Industrial IoT (IIoT): A Machine Learning Perspective","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"","keywords":"Internet of Things; Anomaly detection; Industrial Internet; Access control; Perspective (graphical); Key (lock); Focus (optics); Trust management (information system); Control (management)","score_opus":0.007208524520157948,"score_gpt":0.23967198373415366,"score_spread":0.23246345921399572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416799787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8521406,0.01252248,0.00637174,0.0022691817,0.006437007,0.001329308,0.000031978667,0.00058220426,0.118315496],"genre_scores_gemma":[0.99612683,0.00084902026,0.00024057216,0.000134076,0.00045826126,0.000024032997,0.0000057880384,0.000044821107,0.0021166233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99642843,0.00029504887,0.00084882794,0.0008775774,0.00039474937,0.0011553367],"domain_scores_gemma":[0.9986723,0.00046546015,0.00009783904,0.00041335786,0.00012445552,0.00022658095],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008845103,0.000600128,0.00078554335,0.00080004235,0.00036948177,0.00016241317,0.0004952833,0.00072061777,0.0008320485],"category_scores_gemma":[0.0013805594,0.0006453575,0.00023640638,0.0021778152,0.00018858886,0.0002968524,0.00034300328,0.0037151957,0.00006687916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010625462,0.0012199439,0.16582401,0.00093358953,0.0006741372,0.0004963648,0.04822973,0.66125154,0.0030773175,0.09718238,0.004473292,0.015575155],"study_design_scores_gemma":[0.006552498,0.00034450056,0.003774232,0.001553105,0.00014123524,0.000026601863,0.019455448,0.91578674,0.006741554,0.0075886394,0.036522057,0.001513373],"about_ca_topic_score_codex":0.003983334,"about_ca_topic_score_gemma":0.0032581685,"teacher_disagreement_score":0.25453523,"about_ca_system_score_codex":0.00130274,"about_ca_system_score_gemma":0.00036759468,"threshold_uncertainty_score":0.99959975},"labels":[],"label_agreement":null},{"id":"W4416873942","doi":"10.1109/inc465408.2025.11256303","title":"The Future of Smart Grids: Revolutionizing Energy Distribution with Advanced IoT, and Renewable Integration","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Smart grid; Renewable energy; Exploit; The Internet; Internet of Things; Energy (signal processing); Paradigm shift; Sustainable development","score_opus":0.0022857315165061504,"score_gpt":0.18398612265587996,"score_spread":0.1817003911393738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416873942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107911386,0.12606722,0.7481194,0.0035575114,0.0044530486,0.0005821179,0.00006810394,0.00020827017,0.009032959],"genre_scores_gemma":[0.97738427,0.020081513,0.00068424013,0.00003121009,0.00018163075,0.000020687445,0.000028358421,0.000010504065,0.0015775681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988175,0.00005912879,0.0003781276,0.00026896832,0.00018214525,0.00029411452],"domain_scores_gemma":[0.99921596,0.00014881848,0.000086050386,0.00031614525,0.00017672278,0.00005630954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021868614,0.00021499854,0.0002269593,0.000055930937,0.0005385057,0.000077637305,0.00015844814,0.00016065665,0.000009200287],"category_scores_gemma":[0.000050821483,0.00013992917,0.00004994294,0.00067792565,0.00023134988,0.00019353646,0.000060158585,0.00020658877,5.583257e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009522149,0.0001553253,0.0024435183,0.00085829094,0.00037426935,0.0000052830324,0.0009675895,0.10011658,0.0168175,0.553169,0.01630539,0.30783504],"study_design_scores_gemma":[0.0019721345,0.00070911477,0.009197411,0.002731934,0.00025982212,0.000029180894,0.00990023,0.30262175,0.14566648,0.0056791133,0.52038157,0.0008512457],"about_ca_topic_score_codex":0.00039260078,"about_ca_topic_score_gemma":0.0051924894,"teacher_disagreement_score":0.8694729,"about_ca_system_score_codex":0.00012528339,"about_ca_system_score_gemma":0.00009912054,"threshold_uncertainty_score":0.5706146},"labels":[],"label_agreement":null},{"id":"W4416924336","doi":"10.1109/icecce67514.2025.11258041","title":"Challenges and Opportunities, the Future of Using Artificial Intelligence in the Use of Applications and Human Resources in Power Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Applications of artificial intelligence; Electric power system; Expert system; Intelligent decision support system; Power (physics); Energy management; Human resources; Control (management)","score_opus":0.11320664224497383,"score_gpt":0.2872525232567322,"score_spread":0.17404588101175833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416924336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8814692,0.11118762,0.003004298,0.0014356839,0.00022021157,0.00091886986,0.000012915989,0.000010904842,0.0017403263],"genre_scores_gemma":[0.98131835,0.01852156,0.00005027506,0.000024614545,0.00004151005,0.000022361679,5.517189e-7,0.0000054178568,0.0000153483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9988367,0.00016430832,0.00052532455,0.00018096856,0.00013704698,0.00015563975],"domain_scores_gemma":[0.9991279,0.00041601647,0.00007820001,0.00031724753,0.000038800143,0.000021796726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005710782,0.00013341727,0.00023659365,0.00020343607,0.000106570646,0.00005920435,0.0002290655,0.00012428421,0.00000409945],"category_scores_gemma":[0.000014774345,0.00008598493,0.000023568582,0.00028403194,0.00039636155,0.00011296427,0.000088579094,0.00025246813,6.756026e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015483034,0.000116346346,0.0006014314,0.0009561583,0.000029876775,0.0000031799486,0.031932004,0.014254946,0.00048835354,0.9328945,0.000012201833,0.018695507],"study_design_scores_gemma":[0.000251893,0.00016716449,0.034125812,0.0029100934,0.00012929447,0.000039964332,0.7120211,0.18958946,0.0009336045,0.009535837,0.04967319,0.0006225674],"about_ca_topic_score_codex":0.00046113375,"about_ca_topic_score_gemma":0.0021089453,"teacher_disagreement_score":0.9233587,"about_ca_system_score_codex":0.000015507549,"about_ca_system_score_gemma":0.000027540405,"threshold_uncertainty_score":0.3506364},"labels":[],"label_agreement":null},{"id":"W4416931531","doi":"10.1002/cjce.70202","title":"Adversarial attacks on anomaly detectors in process systems: A case study on Tennessee Eastman process dataset","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board","keywords":"Adversarial system; Anomaly detection; Exploit; Process (computing); Benchmark (surveying); Anomaly (physics); Key (lock); Data modeling","score_opus":0.008496118912827507,"score_gpt":0.23483251178342807,"score_spread":0.22633639287060056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416931531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986051,0.00016759738,0.00004107805,0.000056114204,0.0007612123,0.00023581735,0.000045670142,0.000019789835,0.00006766397],"genre_scores_gemma":[0.9997313,6.173769e-7,0.0000035227797,0.00002428833,0.00020112675,0.000013857142,0.0000033575766,0.000020063011,0.0000018444409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989412,0.000020449763,0.00036898648,0.00013319791,0.00019556427,0.00034063056],"domain_scores_gemma":[0.99932927,0.00011884102,0.000045537694,0.00020399284,0.00005358154,0.00024879846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028729788,0.00019339152,0.00026504486,0.00036901058,0.00006360544,0.00006960689,0.00041359157,0.00009360655,0.000004061767],"category_scores_gemma":[0.00018555815,0.00014949215,0.000042475487,0.0004838971,0.000035884415,0.00009122414,0.000009483737,0.0007153685,0.0000023238883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040860952,0.000044877357,0.0012228118,0.00026389438,0.00008729316,0.0032552904,0.0019837152,0.99127525,0.0014634846,0.000035074096,0.00024999597,0.000077446726],"study_design_scores_gemma":[0.00916086,0.00116899,0.0036621985,0.0067714434,0.00047579207,0.009670128,0.01646788,0.86357147,0.08377324,0.00010005908,0.0025984829,0.002579461],"about_ca_topic_score_codex":0.0011297091,"about_ca_topic_score_gemma":0.0019090151,"teacher_disagreement_score":0.1277038,"about_ca_system_score_codex":0.00028180037,"about_ca_system_score_gemma":0.0002446898,"threshold_uncertainty_score":0.6096113},"labels":[],"label_agreement":null},{"id":"W4416962375","doi":"10.1109/pst65910.2025.11268819","title":"RF-RADS: A Robust Framework for Risk Assessment in Digital Substations","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Downtime; Vulnerability assessment; Identification (biology); Risk assessment; Vulnerability (computing); Profiling (computer programming); Critical infrastructure; Adversarial system; Criticality","score_opus":0.01149367589480663,"score_gpt":0.277132990429686,"score_spread":0.2656393145348793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416962375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09599751,0.0010607224,0.8876817,0.00079749856,0.0019703112,0.00081351073,0.00014557836,0.00012604895,0.01140711],"genre_scores_gemma":[0.9658938,0.0007103763,0.0322532,0.000094496674,0.00013517072,0.00015890675,0.000019522711,0.000023653814,0.00071088946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827343,0.000015930622,0.00056470616,0.0004161565,0.00018372067,0.0005460726],"domain_scores_gemma":[0.9983495,0.0010310961,0.000056449866,0.0003709998,0.00009026981,0.000101675956],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023513804,0.0002731693,0.00031685055,0.00030550626,0.00022049567,0.00038454682,0.00029294557,0.00030116015,0.00013429116],"category_scores_gemma":[0.0005616914,0.00028233544,0.00016873388,0.00097176747,0.00008705356,0.00049290864,0.000072713316,0.00078128144,0.000026858806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033652817,0.00046121838,0.042704023,0.0004969942,0.00018925963,0.000008525178,0.0016546877,0.5739769,0.000023649698,0.3682547,0.0022098632,0.009986547],"study_design_scores_gemma":[0.0013768316,0.00012296782,0.06102351,0.0010961656,0.00011006986,0.0000017020437,0.0041854954,0.7927743,0.0002888901,0.12972587,0.008607978,0.0006861913],"about_ca_topic_score_codex":0.000074698124,"about_ca_topic_score_gemma":0.00039482763,"teacher_disagreement_score":0.8698963,"about_ca_system_score_codex":0.00023510939,"about_ca_system_score_gemma":0.00021922098,"threshold_uncertainty_score":0.99996287},"labels":[],"label_agreement":null},{"id":"W4416962827","doi":"10.1109/pst65910.2025.11268843","title":"Quantum Computing Threats to Management and Operational Safeguards of IEC 62351","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Hydro-Québec","keywords":"Vulnerability (computing); Cryptography; Key (lock); Automation; Quantum computer; Blackout; Vulnerability assessment; SCADA","score_opus":0.008905694638792342,"score_gpt":0.25213827274139794,"score_spread":0.2432325781026056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416962827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6257333,0.004714762,0.26217502,0.0019695144,0.0024467653,0.00084364746,0.000016490296,0.00010519437,0.10199532],"genre_scores_gemma":[0.99183196,0.00044831634,0.005007755,0.00028545118,0.00008342938,0.000004274144,0.0000028274646,0.000009334799,0.002326633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998725,0.000025455292,0.00042571276,0.00031794555,0.00022750418,0.00027839586],"domain_scores_gemma":[0.9995064,0.00008924894,0.000022564911,0.00022722832,0.00006355453,0.000090996225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023422952,0.00019370642,0.00027097372,0.000215602,0.00016350253,0.00006745314,0.00018840011,0.00008419448,0.00014568938],"category_scores_gemma":[0.0000148302715,0.00018996849,0.00005265488,0.00043485657,0.00008152232,0.00008869378,0.00029892646,0.00013057532,0.000021234391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048460533,0.00014838015,0.0062447684,0.0016245155,0.00038566467,0.000017202035,0.0021842488,0.1407605,0.0019370003,0.8079305,0.005397602,0.0333211],"study_design_scores_gemma":[0.0012663743,0.00018266452,0.11434343,0.0015079112,0.00014388372,0.000006511048,0.0021924665,0.85039324,0.015791582,0.0035091725,0.010009215,0.0006535396],"about_ca_topic_score_codex":0.000052318686,"about_ca_topic_score_gemma":0.000033563083,"teacher_disagreement_score":0.80442137,"about_ca_system_score_codex":0.00004838387,"about_ca_system_score_gemma":0.000033641423,"threshold_uncertainty_score":0.774669},"labels":[],"label_agreement":null},{"id":"W4416964719","doi":"10.1109/ecce58356.2025.11259768","title":"Resilient Cyber-Attack Detection and Mitigation in Grid-Tied PEC9 Inverter Using A3C-Based Adaptive Control","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Asynchronous communication; Identification (biology); SIGNAL (programming language); Scheme (mathematics); Telecommunications network; Adaptive control; Stability (learning theory); Communications system","score_opus":0.008933983786561735,"score_gpt":0.22123428433154255,"score_spread":0.2123003005449808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416964719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92937404,0.00018208726,0.067850836,0.0000910849,0.00063341955,0.00025341407,0.0000034686918,0.00010801576,0.0015036649],"genre_scores_gemma":[0.99932736,0.000009889231,0.00032962597,0.00020601186,0.00006084001,0.000014406128,0.0000017222499,0.000007714298,0.00004244455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934375,0.000041243064,0.00018263707,0.00016924959,0.0000949342,0.00016815659],"domain_scores_gemma":[0.9997344,0.00007848401,0.000016115448,0.00010307008,0.000029139652,0.000038770184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010897437,0.000111334644,0.00013367156,0.00019340952,0.000060884562,0.00002762654,0.00004740543,0.00009603671,0.000012868012],"category_scores_gemma":[0.000024541148,0.00010692238,0.000027939264,0.00026652607,0.000048946997,0.00012821857,0.000010720215,0.00014448978,0.000003923945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025265134,0.000089830406,0.019170493,0.00023820401,0.00007775591,0.000015939559,0.00092581444,0.82966423,0.14191401,0.0006779142,0.0011856686,0.005787517],"study_design_scores_gemma":[0.0009671518,0.000025309444,0.022705056,0.000079680794,0.000013975818,0.000001312459,0.00016911449,0.9414689,0.034116436,0.000065831104,0.0002655027,0.00012175555],"about_ca_topic_score_codex":0.00014265512,"about_ca_topic_score_gemma":0.0011806863,"teacher_disagreement_score":0.11180467,"about_ca_system_score_codex":0.00011865927,"about_ca_system_score_gemma":0.000024395573,"threshold_uncertainty_score":0.4360168},"labels":[],"label_agreement":null},{"id":"W4416975561","doi":"10.1049/cps2.70035","title":"An Early Stage Failure Prediction Mechanism in Smart Grid Networks","year":2025,"lang":"en","type":"article","venue":"IET Cyber-Physical Systems Theory & Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Smart grid; Component (thermodynamics); Cascading failure; Mechanism (biology); Electric power system; Boosting (machine learning); Construct (python library); Grid; Power grid","score_opus":0.003208744094986355,"score_gpt":0.21153716305979062,"score_spread":0.20832841896480425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416975561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5419561,0.0002743922,0.4496575,0.00006605249,0.0010233043,0.0015956957,0.00014509486,0.00088901015,0.0043928316],"genre_scores_gemma":[0.99737436,0.000025631298,0.000049890372,0.000025197676,0.0007069762,0.0013649445,0.0000637645,0.000029748015,0.00035950617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998656,0.00012719694,0.00032959838,0.0003692484,0.00017469932,0.00034326914],"domain_scores_gemma":[0.99901086,0.00016908516,0.0000429045,0.0006131489,0.000046647252,0.00011737778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030198315,0.00021581056,0.00027373235,0.0001270724,0.00017133835,0.00009665522,0.00037043184,0.00018145132,0.000007931116],"category_scores_gemma":[0.0000074747336,0.0002124394,0.0000812618,0.00070782646,0.00007807115,0.00023762825,0.000036470898,0.0004177294,0.00006275762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012867127,0.00021483054,0.0007498626,0.000105650324,0.00005195076,0.000002007148,0.00049479166,0.1579933,0.008387337,0.83042175,0.0005622579,0.0010034182],"study_design_scores_gemma":[0.0010999498,0.00016997468,0.023174087,0.00041305827,0.00013402851,0.0000071415825,0.0018373268,0.8406392,0.0041677128,0.062136676,0.065145954,0.0010749041],"about_ca_topic_score_codex":0.00012513243,"about_ca_topic_score_gemma":0.000091024725,"teacher_disagreement_score":0.76828504,"about_ca_system_score_codex":0.00010892764,"about_ca_system_score_gemma":0.000022490907,"threshold_uncertainty_score":0.8663027},"labels":[],"label_agreement":null},{"id":"W4417048498","doi":"10.1016/j.rineng.2025.108535","title":"A security-centric SCADA framework for wind energy systems using enhanced network segmentation and rogue traffic visualization","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"SCADA; Intrusion detection system; Supervisory control; Wind power; Visualization; Critical infrastructure; Situation awareness; Network security; Honeypot","score_opus":0.005847212499565516,"score_gpt":0.23764582444978424,"score_spread":0.23179861195021872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417048498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3046132,0.003405515,0.6899117,0.0000060741904,0.001515981,0.0002940307,0.000011858141,0.00018476965,0.000056861736],"genre_scores_gemma":[0.99628586,0.00048440238,0.0028412603,0.000009914148,0.00028266234,0.000031284766,0.000029606414,0.000026867116,0.0000081173475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989304,0.00002042632,0.00036989758,0.00023330095,0.00010970571,0.00033629098],"domain_scores_gemma":[0.999504,0.00025690402,0.00003695487,0.0001255647,0.0000279242,0.000048624843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019731067,0.00017476108,0.00021298416,0.00023131522,0.00006812784,0.000069440015,0.00008554135,0.00017688054,5.3488554e-7],"category_scores_gemma":[0.00010906615,0.00019919882,0.000030782456,0.0007558304,0.000012805434,0.00014395922,0.00002114604,0.0001383741,2.804023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025076297,0.000011099958,0.000030211853,0.0004278368,0.000023486835,0.0000016697157,0.00045582475,0.9945075,0.0010338405,0.0028284348,0.000046720972,0.0006083354],"study_design_scores_gemma":[0.0006439825,0.000014308634,0.00012505715,0.0008894216,0.000015203357,0.0000025349082,0.00013184869,0.9948149,0.0024979718,0.00012218305,0.0005507004,0.00019191383],"about_ca_topic_score_codex":0.000016394302,"about_ca_topic_score_gemma":0.000015323893,"teacher_disagreement_score":0.6916727,"about_ca_system_score_codex":0.00015243927,"about_ca_system_score_gemma":0.000018159702,"threshold_uncertainty_score":0.81230927},"labels":[],"label_agreement":null},{"id":"W4417143634","doi":"10.18280/ijsse.150819","title":"Deep Reinforcement Learning-Based Energy-Aware Intrusion Prevention in IoT Environment","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Intrusion; Reinforcement; Intrusion detection system; Intrusion prevention system","score_opus":0.0032967860619540594,"score_gpt":0.2041253269099077,"score_spread":0.20082854084795365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417143634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054164115,0.007098805,0.9334884,0.001008178,0.0036716303,0.00016734806,0.0000037029372,0.00003407188,0.00036372503],"genre_scores_gemma":[0.9891133,0.010098434,0.00030952122,0.00006330224,0.00030840485,0.000003853264,0.000014019984,0.000019928173,0.00006925793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757296,0.00006817095,0.0011887897,0.00023574741,0.00061619375,0.0003181565],"domain_scores_gemma":[0.9991657,0.00018893761,0.00025535419,0.00012360387,0.00013184476,0.00013456534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059348997,0.00031672753,0.0004218141,0.00082556944,0.000081174905,0.000090344336,0.00040258656,0.00024270048,0.00013725409],"category_scores_gemma":[0.00009329577,0.00034773326,0.0001965483,0.0002312794,0.000056291632,0.0002710641,0.00016215119,0.0009099174,0.000002429927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035691046,0.000120905344,0.00055376516,0.0001893416,0.0002196658,0.000099556775,0.00087878853,0.9845101,0.00038610777,0.0020310918,0.00001534209,0.010638379],"study_design_scores_gemma":[0.0020539742,0.00017706229,0.0021511083,0.0018969605,0.000049654765,0.00004020288,0.00020117099,0.97277915,0.0014936049,0.0003496529,0.018527118,0.00028035836],"about_ca_topic_score_codex":0.0000360419,"about_ca_topic_score_gemma":0.000029548995,"teacher_disagreement_score":0.93494916,"about_ca_system_score_codex":0.00063143554,"about_ca_system_score_gemma":0.0000978907,"threshold_uncertainty_score":0.9998975},"labels":[],"label_agreement":null},{"id":"W4417439168","doi":"10.1109/tia.2025.3645008","title":"Optimizing Data Aggregation in Power Systems to Defend Against False Data Injection Attacks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"","keywords":"Data aggregator; Resilience (materials science); Vulnerability (computing); Electric power system; Phasor; Aggregate (composite); Aggregate data; Data modeling; Focus (optics)","score_opus":0.04191501873805772,"score_gpt":0.30379436945426114,"score_spread":0.26187935071620344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417439168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015786627,0.0011378757,0.9695113,0.00090997916,0.003445141,0.00283356,0.0028222853,0.0003251927,0.003228048],"genre_scores_gemma":[0.99535006,0.00070092763,0.0011679126,0.00021184175,0.00019073693,0.0010485357,0.0004372442,0.00006811771,0.000824647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960025,0.00014299796,0.0011490553,0.0015907373,0.00043518335,0.00067950325],"domain_scores_gemma":[0.99425787,0.00033594648,0.0001466301,0.0048221136,0.00014225951,0.0002951989],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00071026536,0.00053213665,0.00047677447,0.0011161616,0.00077701436,0.00035790127,0.0023949312,0.0012613179,0.00006185397],"category_scores_gemma":[0.000037924066,0.0006670873,0.00007364335,0.0039049976,0.00013813528,0.0012025128,0.000059672813,0.0029330368,0.00022667777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038325587,0.0005088279,0.00006385703,0.00019464508,0.00014218524,0.000003977443,0.0005049177,0.9728536,0.0008528278,0.0002808603,0.0029099407,0.021646062],"study_design_scores_gemma":[0.001380625,0.00011171944,0.00042676437,0.0023928753,0.00035936668,0.00003299802,0.0047688545,0.79894185,0.0046235663,0.000051425606,0.18552797,0.0013819765],"about_ca_topic_score_codex":0.00034303346,"about_ca_topic_score_gemma":0.00069294963,"teacher_disagreement_score":0.9795634,"about_ca_system_score_codex":0.00059589586,"about_ca_system_score_gemma":0.00038598408,"threshold_uncertainty_score":0.99957806},"labels":[],"label_agreement":null},{"id":"W4417472925","doi":"10.1109/pcic47468.2025.11289140","title":"Comprehensive Cybersecurity for Variable Frequency Drives Standards, Practices, and Implementation Revision Jan 2025","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Exploit; Compromise; Process (computing); Variable (mathematics); Network security; Warning system; Flexibility (engineering)","score_opus":0.01429527973903123,"score_gpt":0.3356437680117057,"score_spread":0.3213484882726745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417472925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30874345,0.12997098,0.47602838,0.006583221,0.011876744,0.011718277,0.0030328208,0.0007104348,0.0513357],"genre_scores_gemma":[0.8612316,0.057129435,0.07822022,0.0009720486,0.00062595046,0.00013631744,0.00028335094,0.00007826795,0.0013227945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975211,0.00013889863,0.0007207524,0.00067120313,0.00038037158,0.00056768075],"domain_scores_gemma":[0.99766314,0.00087038643,0.00030037807,0.0003936573,0.00061902724,0.00015338091],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007088166,0.00039145615,0.00049266784,0.00021913213,0.0005924748,0.00031840923,0.00023277597,0.00026133095,0.0006869309],"category_scores_gemma":[0.00044233998,0.00039891477,0.00010252696,0.0005534153,0.00014741578,0.0008932896,0.00016203489,0.00037660412,0.0000061698806],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005119371,0.0004482238,0.010652743,0.01726132,0.0015375545,0.000020788584,0.010395501,0.0021311694,0.027261104,0.68833476,0.15533645,0.08610845],"study_design_scores_gemma":[0.004117869,0.0004900444,0.0053976323,0.0013463226,0.0006391317,0.000011927611,0.014184138,0.026699405,0.008019833,0.01912863,0.9189527,0.0010123791],"about_ca_topic_score_codex":0.00089470914,"about_ca_topic_score_gemma":0.00035289823,"teacher_disagreement_score":0.7636162,"about_ca_system_score_codex":0.00025077016,"about_ca_system_score_gemma":0.0004656748,"threshold_uncertainty_score":0.9998463},"labels":[],"label_agreement":null},{"id":"W4417473227","doi":"10.1109/pcic47468.2025.11289149","title":"Harnessing the Power of IEC 61850 for Future-Proofing Substation Communications","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"J. D. Irving (Canada); Custom Security Industries (Canada)","funders":"","keywords":"Troubleshooting; IEC 61850; Event (particle physics); Schematic; Standardization; Visualization; Data collection","score_opus":0.014514224978908046,"score_gpt":0.27227383846573305,"score_spread":0.257759613486825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417473227","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19961955,0.04553505,0.6615439,0.025515473,0.010500772,0.0028269882,0.000070955604,0.0002863143,0.054100975],"genre_scores_gemma":[0.99259967,0.00081455027,0.0056403233,0.0001654649,0.00012221756,0.0000536668,0.000012178584,0.000015546406,0.0005763574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886495,0.00007376662,0.00048934977,0.00017523182,0.00013617607,0.00026052532],"domain_scores_gemma":[0.99790204,0.00078970456,0.000095570016,0.0009862927,0.000194443,0.000031949425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046230378,0.00016496716,0.00021406396,0.00012242456,0.00061203045,0.00009341592,0.00074654404,0.00013975326,0.000053413914],"category_scores_gemma":[0.00011993678,0.00012741992,0.00014505845,0.00059540034,0.0002470574,0.00020709215,0.00013223919,0.0002684278,0.000005197572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009433439,0.00032681634,0.0019712285,0.0016637145,0.00045145254,5.5941194e-7,0.038790017,0.0238746,0.012731701,0.85716635,0.0089177275,0.054011505],"study_design_scores_gemma":[0.0015550968,0.00009946308,0.025256258,0.0011706261,0.00035826422,0.000003926642,0.03997697,0.71847814,0.049512543,0.009849191,0.15304404,0.00069549034],"about_ca_topic_score_codex":0.000040738578,"about_ca_topic_score_gemma":0.00020516758,"teacher_disagreement_score":0.84731716,"about_ca_system_score_codex":0.000053557895,"about_ca_system_score_gemma":0.00010638759,"threshold_uncertainty_score":0.5196033},"labels":[],"label_agreement":null},{"id":"W4417509502","doi":"10.1109/aibthings66987.2025.11296162","title":"Multi-Domain Deep Reinforcement Learning for Cyber-Physical Systems Security on the WDT Testbed Dataset","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"U.S. Department of Energy","keywords":"Reinforcement learning; Testbed; Intrusion detection system; Software deployment; Convergence (economics); Limiting; Deep learning; Security policy","score_opus":0.013706173155072743,"score_gpt":0.257932351527411,"score_spread":0.24422617837233826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417509502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12831606,0.0021142168,0.8230498,0.0027602331,0.006972981,0.00847356,0.0006773956,0.00075636094,0.026879394],"genre_scores_gemma":[0.99706393,0.00012862711,0.00024031558,0.000257393,0.00039559777,0.00032252434,0.000401362,0.00003826983,0.0011520004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972438,0.0003084967,0.0006227933,0.00061371113,0.00041693065,0.000794229],"domain_scores_gemma":[0.9961103,0.0028145867,0.00010620704,0.0007297774,0.000081734775,0.00015736728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010376232,0.0005151991,0.00052010495,0.00014119194,0.00078646507,0.00034240313,0.0006666268,0.0002567642,0.00007269781],"category_scores_gemma":[0.0005656115,0.00037247682,0.00023032562,0.0004710235,0.00022051163,0.00018369989,0.0002655266,0.0010338385,0.00014501538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118716496,0.00033121032,0.00009539091,0.00095481885,0.00033437787,0.000012794196,0.0028914853,0.86481667,0.0011288791,0.104855165,0.02405893,0.00040155937],"study_design_scores_gemma":[0.0010370638,0.0001736253,0.00008771255,0.0003745873,0.00008282754,0.000003623963,0.0026576952,0.85565364,0.0010883502,0.00023290158,0.13822518,0.00038279925],"about_ca_topic_score_codex":0.00017620237,"about_ca_topic_score_gemma":0.000059326176,"teacher_disagreement_score":0.86874783,"about_ca_system_score_codex":0.00019887736,"about_ca_system_score_gemma":0.000088866145,"threshold_uncertainty_score":0.99987274},"labels":[],"label_agreement":null},{"id":"W48581462","doi":"10.5555/2331751.2331753","title":"Communications and power distribution network co-simulation for multidisciplinary smart grid experimentations","year":2012,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Smart grid; Co-simulation; Computer science; Plug-in; Event (particle physics); Plug and play; Voltage; Embedded system; Grid; Simulation; Real-time computing; Engineering; Electrical engineering; Operating system","score_opus":0.020624531472703253,"score_gpt":0.32072925500712374,"score_spread":0.30010472353442047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W48581462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57437205,0.0033598635,0.41184017,0.0007164125,0.0030694068,0.0023260857,0.0013020072,0.0008198264,0.0021941504],"genre_scores_gemma":[0.9973676,0.00006972134,0.000865917,0.000043610336,0.00040526106,0.00010336752,0.0010852156,0.000022953489,0.000036309597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910784,0.000048244634,0.00028110304,0.00013543249,0.00012579259,0.0003015848],"domain_scores_gemma":[0.9989162,0.0005207001,0.000052295596,0.0002893587,0.00010298022,0.00011843518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021128583,0.00014471932,0.00012612168,0.000039630457,0.00047397905,0.000039306044,0.00011146412,0.00010871759,0.000015905824],"category_scores_gemma":[0.000022195309,0.00015280985,0.00005367516,0.00015365465,0.00008197446,0.00073214585,0.000053002776,0.00009634478,0.000018867522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000317055,0.00006749746,0.010033622,0.000019021601,0.000024155514,7.196117e-8,0.0043135886,0.9821209,0.00059340935,0.0010246882,0.0015392778,0.00023209909],"study_design_scores_gemma":[0.00069085165,0.00005787191,0.026499977,0.000018493305,0.000028812665,0.0000015166615,0.00064083154,0.8983372,0.00037087448,0.00008566381,0.07301798,0.00024996127],"about_ca_topic_score_codex":0.000005081154,"about_ca_topic_score_gemma":0.0000041573626,"teacher_disagreement_score":0.42299557,"about_ca_system_score_codex":0.00006289375,"about_ca_system_score_gemma":0.0000082801225,"threshold_uncertainty_score":0.6231405},"labels":[],"label_agreement":null},{"id":"W569086156","doi":"","title":"Unified knowledge model for stability analysis in cyber physical systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cyber-physical system; Correctness; Computer science; Physical system; Stability (learning theory); Voltage droop; Lyapunov function; Invariant (physics); Grid; Distributed computing; Control engineering; Engineering; Mathematics; Programming language; Electrical engineering","score_opus":0.029969947959311287,"score_gpt":0.2628557418638269,"score_spread":0.23288579390451558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W569086156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88686,0.0002675937,0.107016265,0.0000055053088,0.00021190838,0.00017724637,0.000009300201,0.00010331948,0.005348844],"genre_scores_gemma":[0.9994139,0.0000041292747,0.00021480746,0.000002760682,0.00012445322,0.000042813837,0.0000052540813,0.000007920895,0.00018394276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994334,0.000017156031,0.00013019753,0.00010116521,0.00006212125,0.0002559783],"domain_scores_gemma":[0.9996294,0.00009342409,0.0000072995167,0.00017347104,0.00002307454,0.000073365365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019989125,0.0000841164,0.00019339011,0.000080629354,0.00002143124,0.000011500355,0.00008029786,0.000051943047,0.000008550553],"category_scores_gemma":[0.000014411038,0.00006913926,0.000090927075,0.00038207092,0.000019216479,0.00013597988,0.000014702453,0.00007335174,0.000015796668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000770701,0.00024906945,0.013674521,0.00016416164,0.0001207768,1.1282697e-7,0.005442601,0.9667913,0.0011467519,0.011895458,0.00038445622,0.00012310574],"study_design_scores_gemma":[0.00010712906,0.0000033384872,0.0038278052,0.0000029238752,0.000047152967,1.0783624e-7,0.00017275491,0.9946914,0.0007904287,0.00005969197,0.00019772397,0.00009959108],"about_ca_topic_score_codex":0.000031516982,"about_ca_topic_score_gemma":0.00024932984,"teacher_disagreement_score":0.1125539,"about_ca_system_score_codex":0.00005586371,"about_ca_system_score_gemma":0.000008013869,"threshold_uncertainty_score":0.28194174},"labels":[],"label_agreement":null},{"id":"W602707730","doi":"10.1007/978-3-319-10347-1","title":"Wireless Communications Networks for the Smart Grid","year":2014,"lang":"en","type":"book","venue":"SpringerBriefs in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Wireless; Smart grid; Telecommunications; Computer network; Grid; Distributed computing; Electrical engineering; Geography; Engineering","score_opus":0.014007224277175415,"score_gpt":0.2282251691854196,"score_spread":0.2142179449082442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W602707730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013591816,0.0020106204,0.9682209,0.00028874265,0.008557615,0.0007336076,0.000009918693,0.00026575153,0.01977693],"genre_scores_gemma":[0.63075644,0.024594793,0.2021653,0.0086847115,0.04818467,0.0026510407,0.0002849237,0.0012665993,0.08141152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982799,0.000022884607,0.00036306184,0.0004418256,0.00034655776,0.0005457637],"domain_scores_gemma":[0.9970966,0.00080268836,0.00007640449,0.0018293888,0.0000966995,0.000098227414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011438938,0.0002764813,0.0003060631,0.00017872531,0.00047517242,0.00022150722,0.0038718758,0.00018492668,0.000004870657],"category_scores_gemma":[0.00002107625,0.00022836681,0.000109663,0.00038510098,0.0013001327,0.00016354863,0.00077699684,0.0007414567,0.000017766475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007302249,0.000043643548,0.00017857573,0.00032456248,0.00005220622,0.000005819757,0.00085740886,0.73860294,0.000024837916,0.052572,0.044242553,0.16308816],"study_design_scores_gemma":[0.000089199326,0.000016305401,0.0003740694,0.00016870111,0.000007853852,0.0000051541274,0.0000010448173,0.7475334,0.00001805146,0.0004390023,0.25111437,0.00023286871],"about_ca_topic_score_codex":0.000012594774,"about_ca_topic_score_gemma":0.00021856604,"teacher_disagreement_score":0.7660556,"about_ca_system_score_codex":0.00022690398,"about_ca_system_score_gemma":0.00020972088,"threshold_uncertainty_score":0.93125284},"labels":[],"label_agreement":null},{"id":"W625928072","doi":"","title":"Wireless Sensing Networks Enables Widespread Deployment of Adaptive Control Systems","year":2008,"lang":"en","type":"article","venue":"15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual MeetingITS AmericaERTICOITS JapanTransCore","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Software deployment; Computer science; Detector; Wireless; Adaptive control; Wireless network; Computer network; Telecommunications; Control (management); Real-time computing; Artificial intelligence","score_opus":0.013883439409062002,"score_gpt":0.205669225944317,"score_spread":0.191785786535255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W625928072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91529053,0.033253916,0.039612275,0.00010058259,0.0059410813,0.0026389326,0.0006269667,0.0008603202,0.0016753685],"genre_scores_gemma":[0.9911631,0.007583604,0.00006102784,0.00008130429,0.00033561894,0.00008541248,0.000029171175,0.0001621283,0.0004986383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948353,0.00022944536,0.001805422,0.0009254511,0.0009356894,0.0012686673],"domain_scores_gemma":[0.9973416,0.00056574517,0.00047447317,0.00053016,0.0004978385,0.00059021794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030150596,0.0009634405,0.0018597022,0.00047898345,0.0004113702,0.000059775743,0.00045885963,0.0002266578,0.000021303393],"category_scores_gemma":[0.00003058536,0.0008462307,0.00030945396,0.0010743992,0.0008351364,0.0003399192,0.000020649628,0.0006520387,0.00001593464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007940681,0.0003579931,0.0039506126,0.0009246076,0.0010068242,0.00051552255,0.005814373,0.9765937,0.0028099504,0.00093717885,0.0013261343,0.0049690767],"study_design_scores_gemma":[0.001994374,0.001340945,0.002136853,0.005546654,0.0005052139,0.00052700425,0.009731366,0.95089066,0.008912889,0.0000034750724,0.016014114,0.0023964392],"about_ca_topic_score_codex":0.00137108,"about_ca_topic_score_gemma":0.00009483508,"teacher_disagreement_score":0.07587254,"about_ca_system_score_codex":0.000092570874,"about_ca_system_score_gemma":0.000076855766,"threshold_uncertainty_score":0.9993988},"labels":[],"label_agreement":null},{"id":"W64092878","doi":"10.1007/978-3-319-10347-1_2","title":"Smart Grid Communications Network (SGCN)","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Operability; NIST; GRASP; Systems engineering; Computer science; Quality of service; Architecture; Engineering; Network architecture; Telecommunications network; Telecommunications; Computer network; Software engineering","score_opus":0.013905394580845346,"score_gpt":0.21358114900314196,"score_spread":0.19967575442229663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64092878","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00075238774,0.0037096061,0.31530645,0.00041107956,0.018132763,0.0007552187,0.00001631834,0.0011460175,0.65977013],"genre_scores_gemma":[0.54123676,0.015625758,0.35822433,0.0046010916,0.025427962,0.0001862825,0.0001165206,0.000892514,0.05368881],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977876,0.00001789216,0.00046989872,0.0005790571,0.0005124084,0.0006331745],"domain_scores_gemma":[0.9975041,0.00016574208,0.00008627821,0.001976846,0.00008356938,0.0001834423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085145753,0.00036639583,0.0004081198,0.00029819866,0.0002987445,0.00018013392,0.002858457,0.00022502804,0.000050823448],"category_scores_gemma":[0.00001579305,0.0003960123,0.00010387486,0.000305325,0.0011903623,0.00019236446,0.001110086,0.0008944632,0.00024572245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062523754,0.00003522119,0.00068963604,0.00029477387,0.00005266908,0.000059501253,0.0008800046,0.2927163,0.00006869764,0.5757179,0.011574748,0.1179043],"study_design_scores_gemma":[0.00015432974,0.000041629708,0.0013402649,0.00063501275,0.000010981815,0.000027028349,8.855589e-7,0.38800254,0.000051065024,0.005870953,0.6030959,0.0007693905],"about_ca_topic_score_codex":0.000018424686,"about_ca_topic_score_gemma":0.00018533845,"teacher_disagreement_score":0.60608137,"about_ca_system_score_codex":0.00019595955,"about_ca_system_score_gemma":0.000116267205,"threshold_uncertainty_score":0.9998492},"labels":[],"label_agreement":null},{"id":"W6888986324","doi":"10.25316/ir-12808","title":"Nanaimo Free Press [Tuesday, September 5, 1893]","year":2019,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.006106213620752882,"score_gpt":0.17698187991455092,"score_spread":0.17087566629379802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888986324","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005532088,0.0012233161,0.00085725286,0.000020401909,0.0048649143,0.00036755844,0.00032077444,0.00082654576,0.9915137],"genre_scores_gemma":[0.0003570977,0.0012091834,0.00015352493,0.000023890236,0.00047297782,0.000001107286,0.00000164016,0.00034903915,0.9974315],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985581,0.000044308417,0.0001141778,0.0004693654,0.0003245891,0.0004894563],"domain_scores_gemma":[0.9987554,0.000047227626,0.000086821296,0.0009239412,0.000032980526,0.0001536285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004049893,0.00047473455,0.00047901232,0.00047157233,0.000071097435,0.000037988095,0.0008134354,0.0006069033,0.00085243554],"category_scores_gemma":[0.000009290261,0.00049397146,0.00018428,0.00035826542,0.00010274041,0.00016211507,0.00022507872,0.00049807306,0.0006726907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011993494,0.000024106457,0.0000025596019,0.0002884522,0.00017005966,0.00013593413,0.00014633498,0.0016951805,0.000012543415,0.00028781372,0.9971358,0.000089217836],"study_design_scores_gemma":[0.00089536706,0.000028317398,0.0000024805138,0.00026765195,0.000095582654,0.0000032786627,0.00017234289,0.0007100222,0.00006784549,0.000012313626,0.9970966,0.000648208],"about_ca_topic_score_codex":0.00034017794,"about_ca_topic_score_gemma":0.0046623973,"teacher_disagreement_score":0.005917835,"about_ca_system_score_codex":0.00013710702,"about_ca_system_score_gemma":0.000056764224,"threshold_uncertainty_score":0.9997512},"labels":[],"label_agreement":null},{"id":"W6889091176","doi":"10.25384/sage.20210626","title":"sj-pdf-2-mdm-10.1177_0272989X221103163 – Supplemental material for An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Cohort; Cohort study; Statistical analysis","score_opus":0.05669101769323732,"score_gpt":0.3137118573942348,"score_spread":0.2570208397009975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889091176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9387435,0.000286072,0.03384993,0.000022638336,0.0025416096,0.0011510117,0.023318578,0.00006874095,0.000017972367],"genre_scores_gemma":[0.9897709,0.00017109449,0.0004524574,0.000028557897,0.0011359431,0.00014958913,0.008239645,0.000044462457,0.0000073661026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975743,0.00042228194,0.00049620616,0.0005315073,0.00051235844,0.0004633272],"domain_scores_gemma":[0.99891555,0.00011768179,0.000090600115,0.00070890837,0.00004303327,0.0001242231],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022837275,0.00023602518,0.00044287523,0.000486868,0.00033815563,0.00016300246,0.0006156921,0.00006277892,0.005209933],"category_scores_gemma":[0.000024884961,0.00025733796,0.000098041164,0.0006269871,0.000031961386,0.0010601729,0.00019383719,0.00036617313,0.0000036457109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005654099,0.00022937331,0.0005468824,0.00005158216,0.00037070274,0.000030040592,0.0007251078,0.9700027,0.025172647,0.0000051734373,0.0011217163,0.0011786304],"study_design_scores_gemma":[0.0026598661,0.00035345208,0.004057484,0.000095993884,0.0005051851,0.000038534763,0.0007716833,0.9786675,0.005926031,0.0004741583,0.0058517186,0.0005984167],"about_ca_topic_score_codex":0.00087472884,"about_ca_topic_score_gemma":0.0005420474,"teacher_disagreement_score":0.051027436,"about_ca_system_score_codex":0.00046825348,"about_ca_system_score_gemma":0.00007314705,"threshold_uncertainty_score":0.9999879},"labels":[],"label_agreement":null},{"id":"W6889761109","doi":"10.3204/pubdb-2018-00354","title":"Study of the material of the ATLAS inner detector for Run 2 of the LHC","year":2017,"lang":"en","type":"article","venue":"DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Fundação para a Ciência e a Tecnologia; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Fondation Partager le Savoir; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Shota Rustaveli National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; European Regional Development Fund; British Columbia Knowledge Development Fund; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Israeli Centers for Research Excellence; U.S. Department of Energy; Ontario Innovation Trust; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Atlas (anatomy); Detector; Large Hadron Collider; Pixel; ATLAS experiment; Barrel (horology)","score_opus":0.0198736187193664,"score_gpt":0.2435941801324615,"score_spread":0.2237205614130951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889761109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938799,0.00007504428,0.0003123912,0.0005622638,0.0011792834,0.0028096244,0.0009580916,0.00005528306,0.00016808696],"genre_scores_gemma":[0.9988344,0.000012329961,0.00019907855,0.000026397465,0.00024850346,0.00048384862,0.00005395095,0.0000477706,0.00009373053],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975512,0.00020676258,0.0007925385,0.00039771988,0.0006417703,0.00040999806],"domain_scores_gemma":[0.9950228,0.00016236026,0.0007567503,0.003617306,0.00036684488,0.00007397999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007338043,0.000305322,0.00042028,0.00009875921,0.00059943885,0.00012493532,0.0029542411,0.00012548735,0.00006325174],"category_scores_gemma":[0.0008060021,0.00017523997,0.00022963008,0.0003591812,0.00045286605,0.0007298963,0.0008253939,0.00030035927,0.00000502937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000574421,0.0045686546,0.29520708,0.0016369035,0.0012500243,0.0000013962978,0.007992438,0.0036379837,0.65283465,0.00876002,0.018978115,0.0045582834],"study_design_scores_gemma":[0.0025605795,0.00024183109,0.50129956,0.00014177404,0.00026790943,0.0000068614177,0.0010452981,0.0032030488,0.47529516,0.00007024951,0.015461327,0.00040644006],"about_ca_topic_score_codex":0.00037856336,"about_ca_topic_score_gemma":0.0010846003,"teacher_disagreement_score":0.20609245,"about_ca_system_score_codex":0.000081970575,"about_ca_system_score_gemma":0.00013965085,"threshold_uncertainty_score":0.71460783},"labels":[],"label_agreement":null},{"id":"W6891807969","doi":"10.48448/rw68-tz57","title":"A Study on the Efficiency and Generalization of Light Hybrid Retrievers","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Generalization; Robustness (evolution); Hybrid system; Set (abstract data type); Labrador Retriever","score_opus":0.012132309059768665,"score_gpt":0.23124509978422395,"score_spread":0.21911279072445528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6891807969","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.461257,0.0035612285,0.0043068756,0.0009517925,0.006297957,0.0037777447,0.00026391822,0.0011434425,0.51844],"genre_scores_gemma":[0.98990864,0.00019629949,0.000090143985,0.00009615968,0.00015149105,0.000018379493,0.000007694266,0.00010598033,0.009425214],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987773,0.000034115204,0.00015557473,0.00027123114,0.0005755099,0.00018629007],"domain_scores_gemma":[0.9994783,0.00004675531,0.000063427135,0.00034407128,0.000022565575,0.000044900087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045920393,0.00014343712,0.00014876382,0.0003207744,0.00018228276,0.000026722159,0.0004877747,0.000034932356,0.00044452015],"category_scores_gemma":[0.00007016246,0.00009940019,0.000019492365,0.0007036666,0.00033525855,0.00004141143,0.00011677236,0.00019879542,0.00000933703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037805465,0.0016864296,0.005834719,0.00045535874,0.0002560655,0.00014356681,0.016729683,0.07140062,0.012802815,0.026584072,0.85963815,0.0044306894],"study_design_scores_gemma":[0.0021361657,0.0027422889,0.0027869747,0.00040603845,0.00021900151,0.00008344223,0.01475071,0.21557988,0.021527624,0.0006819163,0.736537,0.0025489612],"about_ca_topic_score_codex":0.000029635074,"about_ca_topic_score_gemma":0.00003523502,"teacher_disagreement_score":0.5286516,"about_ca_system_score_codex":0.000054314973,"about_ca_system_score_gemma":0.00006653692,"threshold_uncertainty_score":0.4867184},"labels":[],"label_agreement":null},{"id":"W6892084876","doi":"10.5061/dryad.4qq6v/1","title":"Biodiversity and Forest Structure at George Lake PSP","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Basal area; Understory; Biodiversity; Forest structure; Vegetation (pathology); Sampling (signal processing); Species richness","score_opus":0.010677331687819543,"score_gpt":0.18635081447224638,"score_spread":0.17567348278442685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892084876","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022281492,0.0027839618,1.365391e-7,0.000009120771,0.00034938243,0.00015449175,0.79799366,0.0003168686,0.19816953],"genre_scores_gemma":[0.005174643,0.0004575819,0.000057005396,0.00010636189,0.0016240375,0.00002614549,0.38986552,0.0003626952,0.60232604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953264,0.000003976584,0.00003841305,0.00016942782,0.00009076321,0.00016475722],"domain_scores_gemma":[0.99958956,0.000011045398,0.000037837428,0.00028134068,0.000008147419,0.000072051655],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000048776465,0.00017274573,0.00015108088,0.000055835142,0.00010371378,0.00003864693,0.00023465772,0.00033596315,0.23035297],"category_scores_gemma":[0.000043022155,0.00016092457,0.000035399007,0.000020012389,0.000014382654,0.000036854584,0.00016229895,0.00017219404,0.0014529547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.5949814e-7,9.4810423e-7,0.0003470394,0.00042137245,0.000018070325,0.000023241979,0.000025406447,0.000016730108,0.0000023271962,6.624172e-7,0.9989856,0.00015797593],"study_design_scores_gemma":[0.00008924177,0.00000382499,0.0036768252,0.0008592013,0.0000073178903,0.0000086912605,0.0000014258341,0.00006716803,0.0000275461,0.0000032965738,0.9950537,0.00020173978],"about_ca_topic_score_codex":0.000014481525,"about_ca_topic_score_gemma":0.0083452705,"teacher_disagreement_score":0.40812817,"about_ca_system_score_codex":0.000015245698,"about_ca_system_score_gemma":0.000007203774,"threshold_uncertainty_score":0.9993245},"labels":[],"label_agreement":null},{"id":"W6892741954","doi":"10.5281/zenodo.11851568","title":"Karl kopinski sketchbook pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"MAGIC (telescope); White (mutation); Portrait; Front (military); Entertainment","score_opus":0.014210019723760844,"score_gpt":0.20917009157588345,"score_spread":0.1949600718521226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892741954","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000019883151,0.0020726807,0.0009668832,0.0000991325,0.00079449126,0.0003019562,0.00021578762,0.0040694224,0.9914598],"genre_scores_gemma":[0.0023756213,0.0015149915,0.00013637994,0.00007559789,0.0012708316,6.8471564e-8,0.001117367,0.016786598,0.97672254],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866205,0.00007636798,0.00018604327,0.00038966915,0.00031632802,0.00036952746],"domain_scores_gemma":[0.99925816,0.000007724166,0.000035868146,0.00046970608,0.000070290895,0.00015826916],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018353695,0.00023679243,0.00019614103,0.00039795096,0.00034229082,0.00055668416,0.0008739181,0.00020847432,0.13210307],"category_scores_gemma":[0.0000785581,0.00024801464,0.00007599535,0.00039060976,0.00013491785,0.00007469666,0.00054295413,0.00052228576,0.32117125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027914284,0.000018401477,6.5966134e-8,0.00043714565,0.00006881541,0.000032450545,0.00028856465,0.00006698156,0.00016326319,0.001176605,0.9891769,0.008567979],"study_design_scores_gemma":[0.0001196142,0.00004090349,0.0000046498253,0.00024529677,0.00002009067,0.000061613806,0.000051870393,0.0005398654,0.00008163492,0.00013309946,0.9984257,0.00027562113],"about_ca_topic_score_codex":0.000010188934,"about_ca_topic_score_gemma":0.000001118709,"teacher_disagreement_score":0.18906818,"about_ca_system_score_codex":0.00010902562,"about_ca_system_score_gemma":0.000002313934,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W6931923756","doi":"10.5281/zenodo.7468442","title":"Purification of SLC40A1 from Expi293FTM Cells","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"European Commission","keywords":"Transporter; Solubilization; Transfection; Proteolysis; HEK 293 cells; Cell culture; Recombinant DNA; Endocytosis","score_opus":0.018069880173270464,"score_gpt":0.19507074122659124,"score_spread":0.17700086105332077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931923756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89381635,0.00066417916,0.009798096,0.00031703562,0.0009125669,0.0006165146,0.0011970765,0.0020768917,0.09060131],"genre_scores_gemma":[0.99832946,0.00008088001,0.00018574894,0.000024938268,0.000078813704,5.944878e-8,0.0006649427,0.00048620568,0.0001489776],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904674,0.0001339272,0.00017659257,0.00018154917,0.00028987892,0.00017132341],"domain_scores_gemma":[0.99947506,0.000018664423,0.00004159234,0.00030183516,0.000095800955,0.000067038105],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024607257,0.000074824464,0.00009026042,0.00011824307,0.0009063246,0.00009280419,0.00065831037,0.000025281332,0.012670327],"category_scores_gemma":[0.0000519386,0.00008829878,0.00003340902,0.0003739106,0.00006365787,0.0001108362,0.00043904327,0.00020978357,0.0011709165],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007386049,0.0002831447,0.000011356465,0.00013402998,0.00008810604,0.000016594984,0.009480413,0.050032865,0.5334269,0.003829612,0.3458855,0.056737624],"study_design_scores_gemma":[0.00020209499,0.00007334532,0.00040154535,0.000006549074,0.0000065223157,0.000011020196,0.00060019176,0.006389909,0.02734562,0.00012677682,0.9647221,0.00011430158],"about_ca_topic_score_codex":0.000017611377,"about_ca_topic_score_gemma":1.4276613e-7,"teacher_disagreement_score":0.61883664,"about_ca_system_score_codex":0.000081293125,"about_ca_system_score_gemma":0.0000014752935,"threshold_uncertainty_score":0.9996068},"labels":[],"label_agreement":null},{"id":"W6963011762","doi":"10.17605/osf.io/akztq","title":"An innovative approach for detecting cyber-physical attacks in cyber manufacturing systems: a deep transfer learning mode","year":2024,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Cyber-physical system; Compromise; Technology transfer; Transfer of learning; Manufacturing; Mode (computer interface); Transfer (computing)","score_opus":0.011739652943291668,"score_gpt":0.25497654313317175,"score_spread":0.2432368901898801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963011762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73831475,0.000009672267,0.2206141,0.000009177102,0.00034173785,0.00089257257,0.000008399347,0.0005498733,0.039259717],"genre_scores_gemma":[0.9955446,0.0000217253,0.0012598839,0.000009375806,0.00024843586,0.0006362966,0.000022836544,0.00009930004,0.0021575438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966926,0.00026900737,0.00054207793,0.0015472451,0.00030692504,0.00064215],"domain_scores_gemma":[0.9982322,0.00048993685,0.000033268178,0.0010206585,0.000071031005,0.00015291675],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0018566016,0.00038980204,0.00046039562,0.0003157552,0.00017215908,0.00027722502,0.00060456985,0.00026295052,0.0017153131],"category_scores_gemma":[0.00024483088,0.00041548035,0.00015620483,0.00046964115,0.00008696097,0.00058958255,0.0001744951,0.0011916086,0.012646806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004990698,0.00012861584,0.0009911206,0.0008922064,0.00013255532,0.000024585379,0.017493919,0.94887906,0.016161123,0.0007547206,0.000049276703,0.014442896],"study_design_scores_gemma":[0.00037102777,0.0000031361756,0.0011460898,0.0002226486,0.00003131353,0.000036495265,0.0012918074,0.93810785,0.05452456,0.00020133972,0.0035662446,0.0004974747],"about_ca_topic_score_codex":0.00016095417,"about_ca_topic_score_gemma":0.00006828199,"teacher_disagreement_score":0.25722986,"about_ca_system_score_codex":0.00032379653,"about_ca_system_score_gemma":0.00005162014,"threshold_uncertainty_score":0.9998297},"labels":[],"label_agreement":null},{"id":"W6981557396","doi":"","title":"Ep 945 | The REAL Reason Biden Vows to Pick a Black Woman for SCOTUS | Guest: Stu Burguiere","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Economic Justice; SAFER; Supreme court; Population; Prime minister","score_opus":0.005016503774258788,"score_gpt":0.18222044186902991,"score_spread":0.17720393809477114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981557396","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003457916,0.0004485306,0.0000028044128,0.00022321164,0.0010066405,0.0012449545,0.00030890046,0.00036459987,0.9960546],"genre_scores_gemma":[0.0006927405,0.0004958713,0.00040247387,0.00026192257,0.0006725146,0.00012862787,0.00019510889,0.00018142967,0.9969693],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982794,0.000054082604,0.0005456103,0.00022448266,0.00047232016,0.00042409718],"domain_scores_gemma":[0.9988375,0.00016792458,0.0002097078,0.0005588774,0.00007806255,0.00014796566],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027793305,0.00037426534,0.0004093811,0.00010221294,0.00013705512,0.000069385685,0.0006583725,0.00029286538,0.12582676],"category_scores_gemma":[0.00012643683,0.00032201703,0.00018314047,0.000023655635,0.00011122727,3.5083926e-7,0.00014165895,0.0003669044,0.003812178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005564983,0.000019224106,0.0000039271913,0.00057836727,0.00007828852,0.000010056274,0.00089061307,0.008636058,6.285558e-7,0.00003524892,0.98916936,0.00052258745],"study_design_scores_gemma":[0.00034436086,0.00016787268,0.000020820231,0.00017186259,0.00005467574,0.000028118582,0.0004709612,0.00033402696,0.000010104534,0.00000590357,0.99800825,0.0003830263],"about_ca_topic_score_codex":0.002826656,"about_ca_topic_score_gemma":0.0033606137,"teacher_disagreement_score":0.12201459,"about_ca_system_score_codex":0.00011328957,"about_ca_system_score_gemma":0.00003054596,"threshold_uncertainty_score":0.99992317},"labels":[],"label_agreement":null},{"id":"W6987201311","doi":"","title":"Secure Data Acquisition for Physics-based Side Channel Cybersecurity","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data acquisition; Cloud computing; Anomaly detection; Detector; Data security; SCADA; Side channel attack; Server","score_opus":0.017865801653646787,"score_gpt":0.21725785294392916,"score_spread":0.19939205129028237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987201311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928502,0.00024081585,0.0009966685,0.0002635336,0.002146208,0.0007250405,0.0019317917,0.0006111726,0.00023455538],"genre_scores_gemma":[0.7718529,0.0010385211,0.0039941533,0.00007108097,0.0015089129,0.000012037424,0.084902056,0.00041714075,0.13620318],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988245,0.00002291476,0.00012236462,0.00043705566,0.00026244405,0.00033075843],"domain_scores_gemma":[0.99896437,0.00007687293,0.000108432876,0.0006337392,0.00012620099,0.000090376285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013646226,0.0002755849,0.0003833756,0.00017306795,0.00020020592,0.000022255941,0.0007510155,0.00038168623,0.00003111032],"category_scores_gemma":[0.000012854418,0.00035019446,0.00016869884,0.00025995114,0.000063443396,0.00030746983,0.000069855334,0.00026882684,0.000065470675],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017973849,0.0006803966,0.00015878877,0.026538765,0.0019234605,0.00031655515,0.58935344,0.15122072,0.029764656,0.0013944645,0.18709736,0.009753992],"study_design_scores_gemma":[0.0040462227,0.00037265735,0.0050172405,0.0022219936,0.0011517402,0.000003110784,0.2832373,0.6702957,0.022222945,0.002983347,0.0058029615,0.0026447307],"about_ca_topic_score_codex":0.003871214,"about_ca_topic_score_gemma":0.033144217,"teacher_disagreement_score":0.51907504,"about_ca_system_score_codex":0.000065609056,"about_ca_system_score_gemma":0.00006569768,"threshold_uncertainty_score":0.999895},"labels":[],"label_agreement":null},{"id":"W6990323433","doi":"","title":"Detection of Replay Attack in Control Systems&#13;\\nUsing Multi-Sine Watermarking","year":2020,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Nucleofection; TSG101; Tubulopathy; Hyporeflexia; Subpoena; Durvalumab","score_opus":0.02318821530001444,"score_gpt":0.25646931503249853,"score_spread":0.2332810997324841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990323433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98190224,0.00076814846,0.00046719483,0.000022143704,0.0024279018,0.0007038679,0.000014754782,0.0001828678,0.013510867],"genre_scores_gemma":[0.997023,0.00026849407,0.0000071324394,0.0000012792834,0.00031364927,0.0000050510366,0.0000430556,0.000063029394,0.0022752937],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971796,0.00045631017,0.0004910867,0.0005745593,0.00063787244,0.0006605526],"domain_scores_gemma":[0.99879247,0.00021626826,0.00015656221,0.00042729205,0.00019611148,0.00021131666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045462078,0.0003233199,0.00062261143,0.0014075866,0.0002806393,0.000096680385,0.00054579,0.00047290078,0.000006765749],"category_scores_gemma":[0.00008712707,0.0003771597,0.00017452818,0.0013262443,0.00014154788,0.00031151797,0.000062854895,0.0015294946,0.000014582888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002619093,0.00024439202,0.046357393,0.0072396905,0.0007116375,0.0056399456,0.0053098095,0.06786865,0.8625013,0.00017704371,0.0003231047,0.0010078988],"study_design_scores_gemma":[0.00515811,0.0006439137,0.16095419,0.0029341173,0.00021104103,0.00010389138,0.009651685,0.35235873,0.44408453,0.000013909442,0.022216361,0.001669528],"about_ca_topic_score_codex":0.007788227,"about_ca_topic_score_gemma":0.022940889,"teacher_disagreement_score":0.4184168,"about_ca_system_score_codex":0.0007788601,"about_ca_system_score_gemma":0.00025044938,"threshold_uncertainty_score":0.99986804},"labels":[],"label_agreement":null},{"id":"W6990675774","doi":"","title":"Domain Adversarial Transfer Learning for Robust&#13;\\nCyber-Physical Attack Detection in the Smart Grid","year":2020,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Tubulopathy; Feature (linguistics); Robustness (evolution); Transfer of learning","score_opus":0.020823871987410626,"score_gpt":0.25131623396490527,"score_spread":0.23049236197749465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990675774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96457285,0.00009866396,0.0012125134,0.00015741606,0.0023657628,0.0011210712,0.000011249691,0.00019414719,0.030266332],"genre_scores_gemma":[0.9959453,0.0001627763,0.000013986029,0.000004414095,0.0018217772,0.000026410338,0.0001402539,0.00006823624,0.0018168947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99701357,0.0005981514,0.00026164603,0.0006249252,0.0007300919,0.0007716098],"domain_scores_gemma":[0.99878377,0.0005587016,0.000039838407,0.00032894302,0.000105434796,0.0001833249],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004959585,0.0003499625,0.00042537862,0.00065951515,0.0007378483,0.00011420603,0.00080141216,0.00042238057,0.000009273931],"category_scores_gemma":[0.00006156548,0.00034686745,0.00034943264,0.0013176783,0.00016085799,0.00029161217,0.000039280712,0.002653698,0.000024034189],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027702192,0.0020593682,0.02402042,0.011406496,0.0033958438,0.0118094925,0.16085553,0.42185643,0.28771177,0.013393419,0.01863409,0.01715494],"study_design_scores_gemma":[0.0074473373,0.0037458648,0.08735411,0.00073004543,0.0004698817,0.000089839334,0.058838032,0.09733943,0.12704004,0.00080122636,0.613051,0.0030931744],"about_ca_topic_score_codex":0.0016567279,"about_ca_topic_score_gemma":0.03631067,"teacher_disagreement_score":0.5944169,"about_ca_system_score_codex":0.0005238589,"about_ca_system_score_gemma":0.00027276404,"threshold_uncertainty_score":0.9998983},"labels":[],"label_agreement":null},{"id":"W6992780088","doi":"","title":"Medidores inteligentes: o primeiro passo em direção as redes inteligentes","year":2015,"lang":"en","type":"dissertation","venue":"UNESP Institutional Repository (São Paulo State University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Smart grid; Work (physics); Plan (archaeology); Electricity; Action plan; Focus (optics); Investment (military)","score_opus":0.0072314849531083,"score_gpt":0.2062860255676474,"score_spread":0.19905454061453912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992780088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88232756,0.0030255506,0.00066836405,0.000021266082,0.009370422,0.00059680484,0.00015036306,0.0009493914,0.10289028],"genre_scores_gemma":[0.9513118,0.0015613092,0.00016266163,0.000039137834,0.00055785145,0.000009289194,0.0014133146,0.00008973456,0.044854864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972623,0.00010096101,0.00054235774,0.00065405824,0.00091317936,0.00052712805],"domain_scores_gemma":[0.99820495,0.00011758438,0.00020522083,0.00045596572,0.0006142825,0.000401978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016785973,0.0006342878,0.0005291497,0.0008771952,0.00065280526,0.00013620213,0.00078023935,0.0004810267,0.00005773296],"category_scores_gemma":[0.00018425228,0.0006733646,0.00027802048,0.00066839566,0.000246475,0.000572274,0.000111338864,0.0008017895,0.00020862455],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007830107,0.0025235482,0.0060037533,0.008823466,0.008962052,0.042131808,0.18119156,0.49090636,0.04103067,0.027814139,0.1547985,0.027984057],"study_design_scores_gemma":[0.0028138617,0.0007504225,0.0065045794,0.004215297,0.00095916126,0.0008094328,0.06135348,0.0073971837,0.1262143,0.00504887,0.77870613,0.005227313],"about_ca_topic_score_codex":0.00019287056,"about_ca_topic_score_gemma":0.0016256967,"teacher_disagreement_score":0.6239076,"about_ca_system_score_codex":0.00095277315,"about_ca_system_score_gemma":0.0009840548,"threshold_uncertainty_score":0.99957174},"labels":[],"label_agreement":null},{"id":"W6992893980","doi":"","title":"Modeling and Detection of False Data Injection Attacks for State Estimation and Automatic Generation Control in Power Systems","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Hydro-Québec; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"State (computer science); Automatic Generation Control; Control system; Estimation; Power (physics); Electric power system; Control (management)","score_opus":0.01744117380587817,"score_gpt":0.24585660254179323,"score_spread":0.22841542873591505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992893980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99221647,0.0023983233,0.0013002248,0.0000016859484,0.0018750718,0.0010890748,0.00081931765,0.00019915051,0.00010070012],"genre_scores_gemma":[0.99835914,0.0003401657,0.00025562834,0.000005300287,0.000023746032,0.00015311633,0.0007322455,0.000086213804,0.000044420416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808234,0.00009481462,0.0007408738,0.0005593612,0.00026982854,0.0002527793],"domain_scores_gemma":[0.9991937,0.000114997434,0.00013944635,0.00034226445,0.00013067562,0.00007891235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077623484,0.00034239795,0.00045426216,0.00046322556,0.00021436489,0.00011766672,0.00015329217,0.00039914245,0.0000013162768],"category_scores_gemma":[0.00024161566,0.00036878666,0.00004782741,0.00025674573,0.000019888554,0.00088984135,0.000034770757,0.0004969921,0.0000032250098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000999048,0.000039503113,0.000009534764,0.0054032016,0.00017015675,0.0000054475163,0.00012878484,0.7835963,0.14669119,0.0010201328,0.0000017126546,0.062834166],"study_design_scores_gemma":[0.0005684317,0.000092188566,0.000093245755,0.0007116773,0.0001314173,0.000018785997,0.00022100826,0.9906849,0.0060905335,0.0009543598,0.000092021066,0.00034138522],"about_ca_topic_score_codex":0.00025382751,"about_ca_topic_score_gemma":0.0026932727,"teacher_disagreement_score":0.20708868,"about_ca_system_score_codex":0.00020890842,"about_ca_system_score_gemma":0.000017504055,"threshold_uncertainty_score":0.9998764},"labels":[],"label_agreement":null},{"id":"W6998946691","doi":"","title":"BluWave-ai and Summerside Launch Canadian Smart Grid AI Center of Excellence","year":2022,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Smart grid; Excellence; Work (physics)","score_opus":0.0042557632292372135,"score_gpt":0.18489356335920684,"score_spread":0.18063780012996963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998946691","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000590749,0.002551312,0.00005604212,0.00036431116,0.001958346,0.00022007168,0.00038416532,0.00015409557,0.9937209],"genre_scores_gemma":[0.08064057,0.0045216097,0.00023781469,0.0021188057,0.0008185086,0.00003744465,0.00023646055,0.0006527518,0.910736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991438,0.000017867042,0.0001444738,0.00022009616,0.0001667309,0.000307055],"domain_scores_gemma":[0.9994956,0.000017259825,0.000022661747,0.00025958635,0.0000107484875,0.00019411318],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000060324015,0.00019934268,0.00023921556,0.00027793943,0.000044181517,0.000014677781,0.00020538912,0.00016217772,0.021022065],"category_scores_gemma":[0.000006582773,0.00019481615,0.00005026533,0.00012850703,0.000076125885,0.000033048524,0.000057115947,0.00032467794,0.000047696565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011444498,0.000008101134,0.004500085,0.00022528275,0.000042183823,0.000026534157,0.00013576346,0.000098397286,0.000016889859,0.00014585798,0.9945522,0.00024758573],"study_design_scores_gemma":[0.00012921153,0.000014553303,0.0003868944,0.000064707696,0.000010607472,0.000011342175,0.0000825129,0.00056222983,0.00008108991,0.00000943386,0.99841493,0.0002324809],"about_ca_topic_score_codex":0.095906965,"about_ca_topic_score_gemma":0.40704724,"teacher_disagreement_score":0.31114027,"about_ca_system_score_codex":0.00006558502,"about_ca_system_score_gemma":0.00007144474,"threshold_uncertainty_score":0.9798729},"labels":[],"label_agreement":null},{"id":"W7005369856","doi":"","title":"Real-Time Machine Learning Models To Detect Cyber And Physical Anomalies In Power Systems","year":2022,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cyber-physical system; Situation awareness; Grid; Process (computing); Pipeline (software); Electricity; Units of measurement; Smart grid; Computation","score_opus":0.012170686314607163,"score_gpt":0.18286013728002073,"score_spread":0.17068945096541357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005369856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610066,0.00030312006,0.000515947,0.00005188887,0.00007077784,0.00015532621,0.00006222031,0.00010349031,0.0026365817],"genre_scores_gemma":[0.99934566,0.000044040346,0.0002821927,0.0000053062017,0.000007688676,9.711997e-7,0.000013090783,0.000014158199,0.00028688647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911666,0.00013136565,0.000096857104,0.00019851635,0.00024138525,0.00021522304],"domain_scores_gemma":[0.99953675,0.00008468787,0.00003149437,0.00020328707,0.000031356638,0.00011241832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017546897,0.00012410972,0.00024736256,0.00028246324,0.00037094532,0.000054360702,0.00031268175,0.000035962392,0.000029878915],"category_scores_gemma":[0.0000097975135,0.00016094638,0.000049452137,0.0004911583,0.00005929225,0.0007000325,0.0003307529,0.0005647989,0.000012965037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082918355,0.00007851713,0.08612244,0.000055519613,0.000078890655,0.00013638046,0.009518316,0.9004698,0.00197645,0.000538628,0.00026222604,0.0006799411],"study_design_scores_gemma":[0.00087145984,0.00037718657,0.3351309,0.000051218994,0.00005076019,0.000028377757,0.0024165893,0.65253687,0.000024229275,0.000117817646,0.007861085,0.0005334982],"about_ca_topic_score_codex":0.0013022237,"about_ca_topic_score_gemma":0.0017648275,"teacher_disagreement_score":0.24900846,"about_ca_system_score_codex":0.000092952556,"about_ca_system_score_gemma":0.000017755445,"threshold_uncertainty_score":0.6563203},"labels":[],"label_agreement":null},{"id":"W7007923404","doi":"","title":"The AI-Based Cyber Threat Landscape: A Survey","year":2020,"lang":"en","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Cyber threats; Cyber-attack; Emerging technologies; Key (lock); Conjunction (astronomy)","score_opus":0.034247113150012456,"score_gpt":0.2507133329863511,"score_spread":0.21646621983633868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7007923404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8912954,0.0012549612,0.053979874,0.013317512,0.00030080968,0.00095264276,0.00062004296,0.00039474078,0.037884023],"genre_scores_gemma":[0.99913114,0.00031325882,0.00027837616,0.000049308634,0.000049071856,5.03964e-7,0.000033450502,0.000011815587,0.00013308728],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985623,0.000328179,0.00007252873,0.0001865093,0.00046181932,0.00038868634],"domain_scores_gemma":[0.9983766,0.0010279018,0.000014612296,0.00024589582,0.00011859249,0.00021637279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066067773,0.00008843809,0.00013778196,0.000099720404,0.00046858386,0.000029397246,0.0006488031,0.000045389683,0.00016924152],"category_scores_gemma":[0.00019926517,0.000078914905,0.000077084114,0.0005061638,0.00050048745,0.00010205373,0.00017513928,0.000532272,0.00015225333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026232225,0.00029038324,0.16884288,0.00079769135,0.000557752,0.0006367178,0.027288394,0.045383982,0.021157818,0.007867023,0.70008385,0.024470305],"study_design_scores_gemma":[0.00161102,0.00037914026,0.39342144,0.000070154754,0.0000143864445,0.00000312945,0.0036608945,0.47930762,0.0010853313,0.0011818785,0.11888646,0.00037851886],"about_ca_topic_score_codex":0.00043356608,"about_ca_topic_score_gemma":0.002437319,"teacher_disagreement_score":0.5811974,"about_ca_system_score_codex":0.000020265197,"about_ca_system_score_gemma":0.00008989017,"threshold_uncertainty_score":0.36040157},"labels":[],"label_agreement":null},{"id":"W7014007529","doi":"","title":"Ontario Teachers' Pension Plan Board to Acquire Evoltz from TPG","year":2021,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Government (linguistics); Work (physics); Identification (biology); Pension plan","score_opus":0.010732953185416822,"score_gpt":0.20089447448658926,"score_spread":0.19016152130117245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014007529","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009975946,0.0017902787,0.0007661541,0.00006578241,0.0033583292,0.00022214015,0.000030364054,0.00058842555,0.9832026],"genre_scores_gemma":[0.0032313443,0.00008557385,0.002487739,0.0002375059,0.0009077771,0.000011593239,0.0001746453,0.00026097777,0.9926028],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999014,0.000015048413,0.00014264647,0.00034552903,0.00022096795,0.00026175994],"domain_scores_gemma":[0.999352,0.000024416415,0.000017869714,0.00043650487,0.000009594157,0.00015964264],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000029828425,0.0002789963,0.0003245389,0.00010825646,0.00002797296,0.000042674437,0.00023926575,0.00041614904,0.049489144],"category_scores_gemma":[0.00000926638,0.00025449006,0.000085978216,0.000070963906,0.000018282799,0.000024002742,0.0000835877,0.00033945462,0.0010914672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025248169,0.0000128783395,0.0006312306,0.000028049904,0.000066498,0.000056814893,0.0018863353,0.00019765907,0.0004800728,0.000016932836,0.99605733,0.0005636817],"study_design_scores_gemma":[0.000121224955,0.000012836826,0.001905734,0.000344087,0.000019227891,0.0000024200633,0.00015508142,0.000121866826,0.00029613235,0.000008623449,0.99664587,0.0003669038],"about_ca_topic_score_codex":0.074061476,"about_ca_topic_score_gemma":0.6142765,"teacher_disagreement_score":0.540215,"about_ca_system_score_codex":0.00014612779,"about_ca_system_score_gemma":0.000058709684,"threshold_uncertainty_score":0.99999076},"labels":[],"label_agreement":null},{"id":"W7022356023","doi":"","title":"Carle le québécois","year":2007,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Focus (optics); Natural (archaeology)","score_opus":0.0031079668880887924,"score_gpt":0.1430893768376615,"score_spread":0.13998140994957273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7022356023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6281204,0.30103064,0.009402567,0.02307257,0.0027973491,0.0002043308,0.000043788863,0.00032154226,0.0350068],"genre_scores_gemma":[0.85471535,0.019608852,0.00255023,0.00025630824,0.00088895677,0.0000016989469,0.000016735368,0.00008146013,0.121880434],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998521,0.000032204072,0.00017470785,0.00028319337,0.00022506806,0.00076383015],"domain_scores_gemma":[0.99909776,0.0001090501,0.00005125352,0.00034409802,0.000051377636,0.00034648308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026297694,0.00024105322,0.00023486878,0.00016452247,0.00045796318,0.000016027365,0.00032032462,0.000317435,0.00018009102],"category_scores_gemma":[0.000019447043,0.00031702765,0.00017313466,0.00042221928,0.00014039195,0.00025174167,0.00015978682,0.0003569201,0.0005171202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023572225,0.00039385725,0.0041939085,0.00055443775,0.00053705246,0.020825163,0.018070826,0.036638737,0.012346552,0.28173622,0.4041914,0.2202761],"study_design_scores_gemma":[0.0005853279,0.00005041129,0.0038297991,0.00006672407,0.000068887784,0.00051254657,0.0032305957,0.0031514768,0.003493107,0.00036203847,0.9842821,0.00036701869],"about_ca_topic_score_codex":0.18634754,"about_ca_topic_score_gemma":0.70292974,"teacher_disagreement_score":0.58009064,"about_ca_system_score_codex":0.0061765113,"about_ca_system_score_gemma":0.000088817804,"threshold_uncertainty_score":0.9999282},"labels":[],"label_agreement":null},{"id":"W7024270947","doi":"","title":"Régionalisation des collèges au Saguenay-Lac-Saint-Jean un nouveau départ","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Set (abstract data type); Identification (biology); Point (geometry)","score_opus":0.011417882998024317,"score_gpt":0.21128973235986875,"score_spread":0.19987184936184443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024270947","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37778002,0.033489764,0.0046989503,0.03458854,0.0022491538,0.0018104147,0.0011300152,0.0008506489,0.5434025],"genre_scores_gemma":[0.44984937,0.004313097,0.0038005314,0.0009572214,0.003372635,0.0003599445,0.00027537445,0.0007166164,0.5363552],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99439466,0.00046748668,0.001081966,0.0010411337,0.002027095,0.0009876479],"domain_scores_gemma":[0.99045473,0.007446505,0.0005591164,0.00068706437,0.00018204452,0.0006705304],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00071612187,0.0011307036,0.0008715701,0.0013598283,0.0005535709,0.00045293724,0.001254006,0.0004056095,0.012598719],"category_scores_gemma":[0.0041255113,0.0011598169,0.00045349984,0.0013855264,0.0012870466,0.0007744531,0.0004648364,0.0008694201,0.0024612541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0003729293,0.0012223547,0.14348762,0.001747007,0.0016971453,0.00013328431,0.032947227,0.048506152,0.0020233938,0.056704905,0.7083158,0.0028421925],"study_design_scores_gemma":[0.0015456184,0.00020635835,0.09483838,0.0009653005,0.00021435693,0.00009721161,0.00040011006,0.00824056,0.00083275244,0.0018099273,0.88941216,0.0014372716],"about_ca_topic_score_codex":0.4451403,"about_ca_topic_score_gemma":0.98074424,"teacher_disagreement_score":0.53560394,"about_ca_system_score_codex":0.01640788,"about_ca_system_score_gemma":0.032573875,"threshold_uncertainty_score":0.9990852},"labels":[],"label_agreement":null},{"id":"W7025235238","doi":"","title":"Utopia maps and ecstasy: Configuring space in Barrie Kosky's 1996 Adelaid festival","year":2004,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Fusible alloy","score_opus":0.004811709494486863,"score_gpt":0.16299962593492118,"score_spread":0.1581879164404343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025235238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95782685,0.0003876121,0.0014331999,0.00023270685,0.00039846223,0.00020125372,0.000070627306,0.00012234677,0.03932691],"genre_scores_gemma":[0.9992975,0.0000932327,0.0001671044,0.000015935813,0.00010076456,6.110935e-7,0.000024843246,0.0000109832745,0.00028903832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989211,0.000026681504,0.00021777098,0.00026819698,0.00028914688,0.0002771355],"domain_scores_gemma":[0.9994547,0.00008964035,0.000056668207,0.00020931383,0.00005490841,0.0001348082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008173529,0.00021139915,0.000246419,0.00010350908,0.00032585178,0.000059202943,0.00025239785,0.00013895668,0.000008393323],"category_scores_gemma":[0.0000350369,0.00019430008,0.00008915587,0.00018911493,0.0006794717,0.00052387774,0.0000871242,0.0003206819,0.000020811864],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011198767,0.00051860604,0.24992917,0.00088422134,0.00055053807,0.0043024383,0.009053558,0.4923192,0.0043346905,0.23039506,0.0018022115,0.004790414],"study_design_scores_gemma":[0.009893675,0.0005936892,0.78040904,0.002086895,0.00017350177,0.0021467619,0.0029093223,0.0056172335,0.011850461,0.009016764,0.17301892,0.0022837238],"about_ca_topic_score_codex":0.0005088912,"about_ca_topic_score_gemma":0.00030398546,"teacher_disagreement_score":0.5304799,"about_ca_system_score_codex":0.00016500299,"about_ca_system_score_gemma":0.00013283649,"threshold_uncertainty_score":0.79233277},"labels":[],"label_agreement":null},{"id":"W7034070526","doi":"","title":"A Stochastic Programming Approach for Nurse Workforce Planning Under Uncertainty in a Hospital Context","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Workforce; Workforce planning; Staffing; Context (archaeology); Workforce management; Heuristic; Task (project management); Sample (material)","score_opus":0.019402672035834415,"score_gpt":0.3089096563897901,"score_spread":0.2895069843539557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034070526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65798503,0.02144666,0.30909967,0.00030906554,0.003965546,0.0052277525,0.000025177425,0.0002502276,0.0016908442],"genre_scores_gemma":[0.9896564,0.000051589603,0.003861927,0.000026513022,0.0004951438,0.0011872796,0.0012154393,0.00017247023,0.0033332356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963481,0.00008153606,0.0007323778,0.0010902554,0.00046451148,0.0012832215],"domain_scores_gemma":[0.9982674,0.0005322152,0.00026124413,0.0004797865,0.0001982545,0.00026111183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003190199,0.0008667181,0.0010197869,0.0003346294,0.0002942934,0.00028201714,0.00045501953,0.00089146063,0.000044683955],"category_scores_gemma":[0.000354746,0.0009852316,0.00037777415,0.0009127748,0.00013011524,0.00019324744,0.000039070903,0.0012972143,0.000009077972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023973487,0.0003839065,0.000086237305,0.0014812505,0.00014299231,0.00002678408,0.10912518,0.88148993,0.000117927586,0.0012023228,0.00011046828,0.005593242],"study_design_scores_gemma":[0.0018424123,0.00029321038,0.00033048852,0.0036653571,0.00016806232,0.000013670972,0.34584737,0.64586276,0.00007619521,0.000089513036,0.00053451525,0.001276469],"about_ca_topic_score_codex":0.000345056,"about_ca_topic_score_gemma":0.00039623913,"teacher_disagreement_score":0.33167136,"about_ca_system_score_codex":0.00043321587,"about_ca_system_score_gemma":0.00034165755,"threshold_uncertainty_score":0.9992598},"labels":[],"label_agreement":null},{"id":"W7034772025","doi":"","title":"Week of Welcome 2008","year":2008,"lang":"en","type":"other","venue":"The University of North Carolina at Chapel Hill Digital Collections (The University of North Carolina at Chapel Hill)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reading (process); South carolina; Block (permutation group theory); Quarter (Canadian coin); Front (military)","score_opus":0.00735606282932528,"score_gpt":0.1496920476332388,"score_spread":0.14233598480391352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034772025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75602627,0.002403193,0.00036466526,0.00029716326,0.0015253697,0.002046027,0.0052261963,0.00072825985,0.23138288],"genre_scores_gemma":[0.7564,0.007576424,0.00006521391,0.000021335432,0.00020658167,5.51912e-7,0.0002915198,0.00022719619,0.23521118],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966958,0.00019566093,0.0005806712,0.00076164387,0.00097505766,0.0007911378],"domain_scores_gemma":[0.99662274,0.00037429456,0.0008100159,0.0014068101,0.00042297496,0.00036317194],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00018556709,0.0008413018,0.0013562306,0.0010899067,0.00185027,0.000011370783,0.002112139,0.0005175091,0.0007072476],"category_scores_gemma":[0.000052616575,0.0008356596,0.0011098437,0.0022968748,0.003095995,0.0003152939,0.0010187019,0.0008552859,0.000231719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014597625,0.0010862766,0.15671715,0.0017424439,0.003395439,0.00060925854,0.014664026,0.058872305,0.000078008234,0.00015556473,0.7592999,0.0019198811],"study_design_scores_gemma":[0.0023696239,0.00046321293,0.1572329,0.0003183533,0.0008155437,0.00034292732,0.0007398187,0.0058003594,0.000056869598,0.000017181861,0.83048725,0.0013559596],"about_ca_topic_score_codex":0.0024173658,"about_ca_topic_score_gemma":0.042360917,"teacher_disagreement_score":0.07118738,"about_ca_system_score_codex":0.00079707796,"about_ca_system_score_gemma":0.00026300846,"threshold_uncertainty_score":0.999617},"labels":[],"label_agreement":null},{"id":"W7037089886","doi":"","title":"Diálogos Brasil-França-Canadá sobre paz e meio ambiente","year":2020,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Diversity (politics); Residence; Capital (architecture); Sustainability; Subject (documents); Field (mathematics)","score_opus":0.020436339596222805,"score_gpt":0.22820229733857472,"score_spread":0.2077659577423519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037089886","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3187543,0.014043137,0.03398345,0.2326723,0.023003174,0.0056022475,0.0017060748,0.0063231024,0.36391222],"genre_scores_gemma":[0.9932168,0.0008978504,0.0008629342,0.0013412485,0.0025930014,0.00016528211,0.00024459677,0.00019056095,0.00048772866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929361,0.00053808937,0.0014526108,0.0016122959,0.0016015101,0.0018594423],"domain_scores_gemma":[0.9956292,0.00035409987,0.0004427389,0.0010433994,0.0004732937,0.0020572804],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005857884,0.0011886812,0.0011469733,0.000491212,0.0012099178,0.0005374953,0.0016693954,0.0012780153,0.00020562351],"category_scores_gemma":[0.0009097549,0.0012573677,0.0006430871,0.0017851364,0.00007565301,0.0008911828,0.0005514708,0.0021622765,0.00025341913],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095101446,0.0014815476,0.004042302,0.002276586,0.0015174911,0.0026285078,0.02566812,0.010778305,0.01594179,0.8858062,0.04421546,0.004692686],"study_design_scores_gemma":[0.0019527845,0.00020036759,0.006432756,0.00038686083,0.00024099689,0.0008462754,0.0011395372,0.01715732,0.002330376,0.00009601752,0.96778494,0.0014317897],"about_ca_topic_score_codex":0.00000797388,"about_ca_topic_score_gemma":0.000590385,"teacher_disagreement_score":0.92356944,"about_ca_system_score_codex":0.00088747405,"about_ca_system_score_gemma":0.00095668243,"threshold_uncertainty_score":0.9989876},"labels":[],"label_agreement":null},{"id":"W7039627400","doi":"","title":"Matthew Herder On Why Canadians Deserve Greater Vaccine Transparency From the Federal Government","year":2020,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Government (linguistics); Happening; Doors; Public policy","score_opus":0.012953968977689908,"score_gpt":0.19519165436858327,"score_spread":0.18223768539089336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039627400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97109056,0.0008008966,0.0005066805,0.015804276,0.0007130228,0.00032959442,0.00031101765,0.00021777644,0.01022619],"genre_scores_gemma":[0.9882151,0.000050135888,0.00007757114,0.010890801,0.00052368856,0.00002359959,0.000015674832,0.00003734177,0.00016611673],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883395,0.000041284722,0.0002013458,0.00026212918,0.00031401793,0.0003472897],"domain_scores_gemma":[0.9993117,0.00007356765,0.000018773377,0.00028443127,0.000011493386,0.0003000391],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005074605,0.00021290572,0.0001855785,0.0000061721944,0.00018721708,0.00010566683,0.0003725084,0.00008735427,0.0016513254],"category_scores_gemma":[0.000018542882,0.0001548042,0.00008422902,0.00010875975,0.00002552261,0.00012225128,0.00002312711,0.00035143812,0.00046910826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005479452,0.0002346247,0.14872907,0.0004558832,0.0010590366,0.0006774648,0.019605072,0.12831457,0.009194985,0.012199771,0.6766096,0.002371998],"study_design_scores_gemma":[0.0038198999,0.0005110748,0.1460758,0.00045506546,0.00016488248,0.000019941572,0.0018382802,0.017925633,0.024593655,0.00097338983,0.80163324,0.0019891085],"about_ca_topic_score_codex":0.011716554,"about_ca_topic_score_gemma":0.058453098,"teacher_disagreement_score":0.12502368,"about_ca_system_score_codex":0.00011076888,"about_ca_system_score_gemma":0.000018436624,"threshold_uncertainty_score":0.9992613},"labels":[],"label_agreement":null},{"id":"W7041050578","doi":"","title":"Canton, Ohio","year":2009,"lang":"hr","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"High Court; Quarter (Canadian coin); Period (music); Kingdom","score_opus":0.005343293278144093,"score_gpt":0.18210879155334653,"score_spread":0.17676549827520244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7041050578","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016438006,0.005284404,0.00072170014,0.0006372739,0.0036880944,0.000699467,0.00024645793,0.0006714397,0.9878868],"genre_scores_gemma":[0.21413206,0.36850572,0.0072457264,0.04438523,0.041012708,0.00013035828,0.01677707,0.0016020861,0.30620906],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99670815,0.00012125583,0.0011962584,0.00042494424,0.0003990991,0.0011503157],"domain_scores_gemma":[0.9983318,0.000086408756,0.00042100542,0.00062523625,0.000027108452,0.00050848105],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017109183,0.0009065884,0.00079018244,0.0004223426,0.00033754233,0.0006484259,0.0006247667,0.0010542219,0.0064129825],"category_scores_gemma":[0.000010912158,0.00087465,0.00024157998,0.00063620636,0.00016337127,0.009363204,0.00024613045,0.0011715986,0.0010075633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001082929,0.00007082684,0.00018621213,0.00086822495,0.0002076092,0.000019994755,0.0011485753,0.010542776,0.0000025988875,0.39283484,0.56538934,0.028620742],"study_design_scores_gemma":[0.0009615265,0.00010783033,0.0024966344,0.001443882,0.000052366653,0.0000566483,0.000015126433,0.014411465,0.000027898746,0.00031578087,0.97914755,0.0009632905],"about_ca_topic_score_codex":2.872913e-7,"about_ca_topic_score_gemma":0.000004899612,"teacher_disagreement_score":0.6816777,"about_ca_system_score_codex":0.00003364675,"about_ca_system_score_gemma":0.00010692987,"threshold_uncertainty_score":0.9997703},"labels":[],"label_agreement":null},{"id":"W7071374006","doi":"","title":"Schneider opens Smart Grid Lab at Ryerson University - SmartGridElectronics.Net","year":2015,"lang":"en","type":"other","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Smart grid; Internet of Things; Key (lock); Work (physics)","score_opus":0.007613861949821209,"score_gpt":0.18113694545660297,"score_spread":0.17352308350678175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071374006","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005639857,0.002587594,0.00012618263,0.00008457123,0.00204788,0.0002891921,0.00017909252,0.001319549,0.99280196],"genre_scores_gemma":[0.0006785755,0.0012636144,0.0002946824,0.000075060256,0.0006642078,0.0000018593367,0.00021080958,0.0003511824,0.99646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986273,0.000038487266,0.00013923334,0.0003714227,0.00028784756,0.00053571974],"domain_scores_gemma":[0.99920076,0.000023545303,0.000043988424,0.00047057308,0.000035288398,0.00022583675],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001280935,0.00037009481,0.00037612556,0.00022067386,0.00007493901,0.000028702521,0.0004503517,0.00048095133,0.0069847386],"category_scores_gemma":[0.000011704835,0.00036518933,0.00009066169,0.00027191214,0.0001007017,0.00008935805,0.00018193202,0.00044021945,0.0023729603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009169128,0.000012743241,0.000087971086,0.00006803688,0.000089881054,0.000044012846,0.00005983921,0.0003635886,0.000032041964,0.00033106908,0.99882996,0.000071674476],"study_design_scores_gemma":[0.0003635483,0.000031230265,0.000041377207,0.00006589697,0.000040885938,0.000017700806,0.00006420933,0.0010948532,0.00015143819,0.000013620029,0.9976244,0.0004908568],"about_ca_topic_score_codex":0.0008005076,"about_ca_topic_score_gemma":0.01475351,"teacher_disagreement_score":0.013953002,"about_ca_system_score_codex":0.0004272962,"about_ca_system_score_gemma":0.000111399546,"threshold_uncertainty_score":0.99988},"labels":[],"label_agreement":null},{"id":"W7092284764","doi":"10.1109/tcss.2025.3606798","title":"An Explainable and Privacy-Preserving Federated Learning Model for Threat Detection in Cyber-Physical-Social Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Guelph; University of Guelph-Humber; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Homomorphic encryption; Differential privacy; Reliability (semiconductor); Resilience (materials science); Anomaly detection; Transparency (behavior); Information privacy; Paillier cryptosystem; Encryption","score_opus":0.017028245851185467,"score_gpt":0.2717884376802579,"score_spread":0.25476019182907245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092284764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31635877,0.00022158513,0.6801574,0.000090371905,0.001701477,0.0011115075,0.00006414074,0.00017644667,0.000118290336],"genre_scores_gemma":[0.99828607,0.00002976542,0.00012315178,0.000012950457,0.00057633413,0.00055330625,0.000023500912,0.000060941326,0.00033400886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971713,0.00038564377,0.00073413755,0.00065781764,0.00046261077,0.00058848894],"domain_scores_gemma":[0.9987767,0.00052877155,0.00015717621,0.00011828135,0.00030342376,0.00011567729],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00047592004,0.00043823238,0.0006818575,0.00043144432,0.003014049,0.0006394236,0.00023950488,0.0004573678,0.0000022465824],"category_scores_gemma":[0.000018212299,0.0005373846,0.00018930619,0.00083979586,0.00011047101,0.000615264,0.0000060596776,0.00076415826,0.000004070444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017816915,0.0002904246,0.000023680126,0.0010727795,0.00017547632,0.0000025210932,0.009066042,0.983396,0.0014462931,0.0012695148,0.000034602126,0.003044513],"study_design_scores_gemma":[0.0014302277,0.00013491315,0.00037079054,0.00035020304,0.00009473336,0.000004658463,0.0037551555,0.9921136,0.00032335878,0.00088689115,0.00008300739,0.00045245327],"about_ca_topic_score_codex":0.0011992223,"about_ca_topic_score_gemma":0.0003085432,"teacher_disagreement_score":0.68192726,"about_ca_system_score_codex":0.0007552339,"about_ca_system_score_gemma":0.00018742413,"threshold_uncertainty_score":0.99970776},"labels":[],"label_agreement":null},{"id":"W7099299989","doi":"","title":"Article","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Work (physics); Order (exchange)","score_opus":0.002466492096699398,"score_gpt":0.15846126844370637,"score_spread":0.15599477634700698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099299989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7844508,0.000025936692,0.020530071,0.000053713302,0.00021368018,0.000013052464,7.033857e-8,0.00029640034,0.19441624],"genre_scores_gemma":[0.99928695,0.0000034001546,0.00036253102,0.00006912556,0.00006072187,8.1624563e-7,9.228997e-8,0.0000026596254,0.00021372763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998537,0.0000023256425,0.000027043261,0.000025986083,0.00002793672,0.00006302552],"domain_scores_gemma":[0.99990714,0.000010844132,8.6298e-7,0.000055731416,0.00000257612,0.000022819593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027382563,0.000019780784,0.000020802841,0.0000073407414,0.000011629913,0.0000058739233,0.00003124324,0.000011610628,0.0001270905],"category_scores_gemma":[0.0000060214984,0.000016049018,0.0000077492605,0.00003272721,0.000007642301,0.000028162747,0.000003716283,0.000023366732,0.00038943015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066288353,0.00008538502,0.02213931,0.00013154229,0.00004029848,0.000006690566,0.0017731141,0.17512678,0.17522459,0.3534717,0.13785654,0.13413744],"study_design_scores_gemma":[0.00015409914,0.000016137841,0.016390387,0.0000041009366,0.0000020236616,0.0000042998972,0.00003500445,0.70519465,0.10417314,0.002153823,0.17173295,0.00013938408],"about_ca_topic_score_codex":0.0000013876398,"about_ca_topic_score_gemma":0.0000050916515,"teacher_disagreement_score":0.53006786,"about_ca_system_score_codex":0.0000021560238,"about_ca_system_score_gemma":4.7487197e-7,"threshold_uncertainty_score":0.50054663},"labels":[],"label_agreement":null},{"id":"W7099337217","doi":"","title":"Shanghai Medical University Shanghai 200032, People&amp;apos;s Republic of China","year":2016,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hay; Hay fever; Etiology; Farmer's lung; Epidemiology; China; Crop; Agriculture","score_opus":0.019739589808401074,"score_gpt":0.23679670647382917,"score_spread":0.2170571166654281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099337217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9395533,0.00019030142,0.009880433,0.0017856511,0.00065278617,0.00010945559,0.000023542168,0.0004384436,0.047366057],"genre_scores_gemma":[0.99162406,0.0004025812,0.00027239334,0.000040800936,0.000119491466,6.9335516e-7,0.00000378779,0.000013587827,0.0075226016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999005,0.000028969347,0.00016261563,0.00018070525,0.00035071818,0.0002719646],"domain_scores_gemma":[0.9993452,0.00009236867,0.000023611688,0.00029993517,0.00003730247,0.00020160324],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019786421,0.00011969057,0.00018549498,0.000119471064,0.000050025446,0.0000074475265,0.00036691126,0.00016403776,0.0063586473],"category_scores_gemma":[0.00012316866,0.00008349083,0.00007726188,0.00033161434,0.0001043108,0.00021267412,0.000095393065,0.000120343575,0.00020645036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021731705,0.00087148737,0.045637585,0.0010154187,0.0006139,0.00023355863,0.010761817,0.00073907414,0.030843172,0.07880924,0.7133087,0.11694876],"study_design_scores_gemma":[0.003927615,0.00022304697,0.18939383,0.00063006894,0.00008191827,0.00017727655,0.00064796343,0.010842192,0.018135402,0.0007493441,0.773603,0.0015883383],"about_ca_topic_score_codex":0.00014707688,"about_ca_topic_score_gemma":0.001240624,"teacher_disagreement_score":0.14375626,"about_ca_system_score_codex":0.000051484723,"about_ca_system_score_gemma":0.000053265736,"threshold_uncertainty_score":0.9945497},"labels":[],"label_agreement":null},{"id":"W7105596989","doi":"10.1109/tsmc.2025.3628600","title":"Periodic Event-Triggering Adaptive Control for Networked Uncertain Nonlinear Systems Against Actuator Attacks and Its Applications","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Australian Research Council; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Control theory (sociology); Actuator; Adaptive control; Compensation (psychology); Controller (irrigation); Nonlinear system; Servomechanism; Lyapunov function","score_opus":0.012017431789968778,"score_gpt":0.23882306736295147,"score_spread":0.2268056355729827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105596989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03149081,0.066432595,0.87818825,0.00008883752,0.010457334,0.010759209,0.0013961295,0.0003499957,0.0008368544],"genre_scores_gemma":[0.9865145,0.005431687,0.000056074412,0.0000400866,0.0009314137,0.003803093,0.00001933545,0.00013200732,0.0030718134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949899,0.00040699117,0.0017818942,0.001210448,0.00054087804,0.0010698931],"domain_scores_gemma":[0.9969163,0.0010073569,0.00040113382,0.0007354736,0.00040107482,0.0005386465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085709646,0.0010005092,0.0015298113,0.00055691134,0.0012395536,0.0009334801,0.00043607314,0.00083127234,0.0000033590377],"category_scores_gemma":[0.000012579348,0.0010321105,0.00030709407,0.00072012824,0.0002474585,0.00024632597,0.000008896681,0.0008033475,0.000031359177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025921973,0.00023120963,0.000021447153,0.0073564365,0.0012113707,0.000011566062,0.0011689027,0.9822375,0.0010248638,0.0027916573,0.0002748073,0.003411019],"study_design_scores_gemma":[0.0029209277,0.00032641896,0.000014950193,0.004044077,0.0005911641,0.00006572581,0.005345151,0.940321,0.00016593354,0.0000053799786,0.045293685,0.000905546],"about_ca_topic_score_codex":0.00032398844,"about_ca_topic_score_gemma":0.00007085539,"teacher_disagreement_score":0.9550237,"about_ca_system_score_codex":0.000440163,"about_ca_system_score_gemma":0.00022932538,"threshold_uncertainty_score":0.9992129},"labels":[],"label_agreement":null},{"id":"W7110992500","doi":"10.1109/ticps.2025.3641524","title":"Quantized-Observer-Based Event-Triggered Secure Consensus for NMASs Under DoS Attacks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industrial Cyber-Physical Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Observer (physics); Control theory (sociology); Quantization (signal processing); State observer; State (computer science); Controller (irrigation); Encoder; Lyapunov function; Telecommunications network","score_opus":0.045057295643097205,"score_gpt":0.2928727957739508,"score_spread":0.2478155001308536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110992500","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3195387,0.00068491703,0.62275994,0.0019891637,0.04464074,0.006746602,0.0023868466,0.00072669965,0.0005263608],"genre_scores_gemma":[0.9945049,0.00003630492,0.000049466504,0.00012736971,0.0024933284,0.0008441078,0.000042323558,0.00014152048,0.0017606254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937151,0.00071394397,0.0017661799,0.001355919,0.00096839055,0.0014804393],"domain_scores_gemma":[0.99442554,0.003143727,0.00034772907,0.0011542814,0.00037607763,0.00055262604],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00067485124,0.0011979874,0.0018254882,0.00055345026,0.0011165802,0.00045779397,0.0007684831,0.0018477621,0.00006117591],"category_scores_gemma":[0.00007859371,0.0012154292,0.0014930358,0.0020063058,0.0004230504,0.0002181099,0.0000060284783,0.0025284523,0.00019328728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017509627,0.0016406323,0.000016995527,0.00090413884,0.0012674805,0.000019682007,0.00027339495,0.97397226,0.0059792344,0.0035187637,0.008192537,0.002463934],"study_design_scores_gemma":[0.024656259,0.0017528139,0.000051603103,0.0053425943,0.0021977813,0.000012902012,0.0016635185,0.8513762,0.07951933,0.0005294854,0.030131549,0.0027659726],"about_ca_topic_score_codex":0.0008191153,"about_ca_topic_score_gemma":0.00019340026,"teacher_disagreement_score":0.6749662,"about_ca_system_score_codex":0.0009262506,"about_ca_system_score_gemma":0.0010100793,"threshold_uncertainty_score":0.9997727},"labels":[],"label_agreement":null},{"id":"W7111499658","doi":"","title":"Cyber-Physical Interdependence for Power System Operation and Control","year":2023,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cyber-physical system; Resilience (materials science); Electric power system; Physical system; Interdependence; Energy (signal processing); System of systems; Complex system","score_opus":0.0032166296200283094,"score_gpt":0.18046170636231243,"score_spread":0.17724507674228412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111499658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99135065,0.000049615024,0.0048338994,0.000041546366,0.00043222983,0.00029934107,0.00004715839,0.0006037398,0.0023418074],"genre_scores_gemma":[0.9993238,0.0000127947715,0.000065481225,0.00002033658,0.0000979254,0.000007653143,0.000032968586,0.000023512475,0.00041556053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992274,0.000008744449,0.0001252722,0.00022198258,0.00014365764,0.0002729512],"domain_scores_gemma":[0.9996209,0.00007740238,0.000029085375,0.00012745587,0.000040087034,0.00010505177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099102595,0.00015002102,0.00018823537,0.00014574964,0.00015876257,0.000040859548,0.00013951294,0.000082836414,0.000016293872],"category_scores_gemma":[0.000012345765,0.00015079438,0.0000718652,0.00020352934,0.000059256585,0.00032360124,0.000035890567,0.000117093645,0.00008534924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012840074,0.00036372413,0.04879087,0.0037708702,0.0016732024,0.0022312975,0.069780625,0.19106512,0.119779035,0.47773492,0.07649134,0.007034994],"study_design_scores_gemma":[0.00439248,0.0005295522,0.0155408485,0.00035515177,0.00020907135,0.00010211729,0.018537385,0.9099816,0.010760333,0.00038101172,0.03789861,0.0013118241],"about_ca_topic_score_codex":0.000018735862,"about_ca_topic_score_gemma":0.000017213077,"teacher_disagreement_score":0.7189165,"about_ca_system_score_codex":0.00006063813,"about_ca_system_score_gemma":0.000016148364,"threshold_uncertainty_score":0.6149216},"labels":[],"label_agreement":null},{"id":"W7114820809","doi":"","title":"A Dynamic Coding Scheme to Prevent Covert Cyber-Attacks in Cyber-Physical Systems","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund; Qatar Foundation; Ministère de la Défense Nationale; Government of Canada; Fonds National de la Recherche Luxembourg","keywords":"Covert; Coding (social sciences); Scheme (mathematics); Context (archaeology); Covert channel; Countermeasure","score_opus":0.011768529145108144,"score_gpt":0.2655411701350942,"score_spread":0.2537726409899861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114820809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858505,0.0023798153,0.0022202972,0.0006783535,0.004269076,0.0011888391,0.000029093533,0.00018966993,0.0031943384],"genre_scores_gemma":[0.9967515,0.00039497463,0.00008046701,0.0002159212,0.00028591682,0.00015905383,0.000010463793,0.00006287266,0.0020388495],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964387,0.00015636708,0.0008811071,0.00093896,0.00044732922,0.0011375466],"domain_scores_gemma":[0.9983092,0.00033148372,0.000095136405,0.00086026674,0.00008843973,0.00031546768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042445486,0.0006114469,0.000880838,0.00045237027,0.00022474513,0.00015240454,0.0007351794,0.0003615793,0.00003605444],"category_scores_gemma":[0.00024214775,0.00067062886,0.0002524312,0.00162734,0.000119069024,0.00033871797,0.0004271153,0.0010316635,0.0007462107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032058245,0.003146881,0.4502755,0.0051120906,0.0010107472,0.0005433305,0.012324836,0.38073313,0.12602589,0.013120615,0.0051839277,0.0022024703],"study_design_scores_gemma":[0.0018664345,0.00034575624,0.24482408,0.0073069055,0.00017718956,0.00002686602,0.0016506513,0.71195364,0.010572371,0.00012397031,0.019262362,0.0018897536],"about_ca_topic_score_codex":0.00039369013,"about_ca_topic_score_gemma":0.0003101932,"teacher_disagreement_score":0.33122054,"about_ca_system_score_codex":0.00086902414,"about_ca_system_score_gemma":0.00019614439,"threshold_uncertainty_score":0.9995745},"labels":[],"label_agreement":null},{"id":"W7117325879","doi":"10.1109/tpwrs.2025.3648770","title":"Graph Deviation Network With Physics-Informed Detection and Robust $H_{\\infty }$ Control for Cyberattack Resilience in Wind-Integrated Power Grids","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Software deployment; Electric power system; Resilience (materials science); Grid; Power-system protection; Wireless sensor network; Smart grid; Drone","score_opus":0.006776812796101913,"score_gpt":0.21297203800610134,"score_spread":0.20619522520999944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117325879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0622725,0.0010309468,0.9250023,0.00008048033,0.0078863595,0.0028648889,0.00012617421,0.00020680654,0.0005295632],"genre_scores_gemma":[0.99857044,0.00023898967,0.00019582914,0.00008457976,0.000079032216,0.00042418297,0.0000063739494,0.0000617112,0.00033883125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99663806,0.00019635302,0.0010462849,0.0007897936,0.0004203825,0.00090913556],"domain_scores_gemma":[0.99809575,0.0006336642,0.00021122087,0.0005399815,0.00032853664,0.00019082356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057105836,0.0006862825,0.0008210916,0.00051063247,0.0006706344,0.00033395225,0.00025854402,0.0005382787,0.000014723052],"category_scores_gemma":[0.000022837963,0.0006376396,0.00020733409,0.0021334407,0.00022930032,0.00080838485,0.0000019732659,0.0008972637,0.000011285616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010476718,0.00017681695,0.00044362235,0.00050601526,0.00031556003,0.000005995295,0.0012305018,0.99435693,0.0006916761,0.0002938514,0.00022143846,0.0007099396],"study_design_scores_gemma":[0.009491371,0.0017995148,0.0057320744,0.005126463,0.00048157666,0.000058324575,0.0032114263,0.9630052,0.00648618,0.00010781012,0.002870828,0.001629258],"about_ca_topic_score_codex":0.0003583884,"about_ca_topic_score_gemma":0.0021173374,"teacher_disagreement_score":0.93629795,"about_ca_system_score_codex":0.00054523395,"about_ca_system_score_gemma":0.00031115103,"threshold_uncertainty_score":0.9996075},"labels":[],"label_agreement":null},{"id":"W7117552198","doi":"10.1109/isgteurope64741.2025.11305413","title":"Event-Triggered Compensation for DoS Attacks in Distribution Grids with Inverter-Based Resources","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"King Abdullah University of Science and Technology","keywords":"Compensation (psychology); Grid; Benchmark (surveying); Distribution (mathematics); Artificial neural network; SIGNAL (programming language)","score_opus":0.007340287738171671,"score_gpt":0.23938534106385115,"score_spread":0.23204505332567948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117552198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64756024,0.0004348193,0.34775507,0.0012316953,0.0007669359,0.0012758725,0.00013032985,0.0001338569,0.00071120576],"genre_scores_gemma":[0.99850416,0.00003225573,0.0003853941,0.00019505064,0.000097443866,0.00012323758,0.0003241174,0.000018475766,0.0003198522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981823,0.00008389275,0.00056566455,0.00043657835,0.00024358674,0.00048796157],"domain_scores_gemma":[0.99907064,0.00032082977,0.000074605865,0.0003292358,0.0001155722,0.00008910172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003462584,0.00031271996,0.0003750087,0.00023438179,0.0002006471,0.00011806273,0.0002434411,0.00026194513,0.00006044332],"category_scores_gemma":[0.00007923154,0.00027909141,0.0001107857,0.00092417945,0.00013144326,0.00020751415,0.000033329747,0.00029262286,0.00001468128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003473278,0.0014159686,0.12552343,0.0051301154,0.00040163763,0.00003268109,0.0030622643,0.79706985,0.005217076,0.018848363,0.019812787,0.020012572],"study_design_scores_gemma":[0.004220959,0.0003706891,0.04439531,0.0010288806,0.000081194536,0.0000011630437,0.00048800264,0.9240688,0.011788764,0.0003676307,0.012716874,0.00047173558],"about_ca_topic_score_codex":0.00016389239,"about_ca_topic_score_gemma":0.0012702349,"teacher_disagreement_score":0.35094395,"about_ca_system_score_codex":0.0003326018,"about_ca_system_score_gemma":0.00015493555,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W7117560288","doi":"10.1109/tie.2025.3639750","title":"Robust Defense Framework for Active Distribution Networks Under Multiple Attacks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Natural Science Foundation of Jilin Province","keywords":"Observer (physics); Disconnection; Controller (irrigation); Robustness (evolution); Robust control; Compensation (psychology); Cloud computing","score_opus":0.033364719324767166,"score_gpt":0.25847904467998756,"score_spread":0.22511432535522038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117560288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010093471,0.0012936305,0.9720125,0.00076717586,0.012664215,0.0019382084,0.0008166693,0.00030129633,0.000112830756],"genre_scores_gemma":[0.994951,0.0023027146,0.00050998875,0.00016869821,0.0011283702,0.00036898282,0.00011603941,0.00009226893,0.0003619259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961024,0.00018981968,0.0008519988,0.0008764059,0.00036043828,0.0016189737],"domain_scores_gemma":[0.996413,0.00227557,0.00016687946,0.0006731558,0.0002155484,0.00025582607],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003920241,0.0007335626,0.000698556,0.00026208928,0.0012423632,0.00020612736,0.0004770614,0.0025290176,0.000098221186],"category_scores_gemma":[0.00014483737,0.00085180986,0.0006246533,0.0016784905,0.00022821475,0.0003044974,0.0000042559104,0.004636939,0.000020518051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001595032,0.000444927,0.0000055664045,0.000054323227,0.0007059951,0.0000018551513,0.00011603451,0.95135266,0.000082066326,0.008530733,0.002158447,0.034952383],"study_design_scores_gemma":[0.0057608644,0.0010279607,0.000031849977,0.0008455698,0.0010872117,0.000009053582,0.00046596647,0.9226455,0.03651816,0.0039305515,0.026456142,0.0012211445],"about_ca_topic_score_codex":0.000054408967,"about_ca_topic_score_gemma":0.0003664779,"teacher_disagreement_score":0.98485756,"about_ca_system_score_codex":0.0020637638,"about_ca_system_score_gemma":0.00087575294,"threshold_uncertainty_score":0.9993933},"labels":[],"label_agreement":null},{"id":"W7117732470","doi":"10.1109/ic366947.2025.11290159","title":"Enhancing Cyber Resilience: Artificial Intelligence based Novel Threat Detection and Incident Response Plan for PowerPlus","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Critical infrastructure; Convolutional neural network; Resilience (materials science); Feature (linguistics); Incident response; Artificial neural network; Plan (archaeology); Feature extraction","score_opus":0.015401608171555113,"score_gpt":0.2647788721330278,"score_spread":0.2493772639614727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117732470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39722985,0.00054701965,0.59874225,0.0003805913,0.0019563918,0.00071118,0.000020388965,0.0001212303,0.000291119],"genre_scores_gemma":[0.9947349,0.00011721075,0.0040379805,0.00022829096,0.00019485647,0.00009527905,0.0000032274313,0.000032110063,0.00055616605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99713594,0.00010653983,0.000878203,0.00080984674,0.00034091074,0.0007285502],"domain_scores_gemma":[0.9972159,0.0018408514,0.000096662654,0.00048250516,0.0001660912,0.00019794625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015349307,0.00045221782,0.00042804398,0.00053516554,0.00064201537,0.00026017366,0.00032220024,0.00042321705,0.000094416835],"category_scores_gemma":[0.0012164746,0.0004585992,0.00015396795,0.0008132927,0.00027519042,0.00031109905,0.00013610611,0.0004578862,0.000021019556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00698885,0.0002542102,0.0003343117,0.00075061724,0.000093626964,0.000017098813,0.0026492898,0.07659632,0.8775826,0.0072223884,0.00008479004,0.027425876],"study_design_scores_gemma":[0.00027858504,0.0002699442,0.0033193214,0.00037065573,0.000063962834,0.000011264257,0.0015014561,0.37276724,0.6190398,0.0011473031,0.00081897835,0.000411541],"about_ca_topic_score_codex":0.00019802591,"about_ca_topic_score_gemma":0.0024055582,"teacher_disagreement_score":0.59750503,"about_ca_system_score_codex":0.00033012085,"about_ca_system_score_gemma":0.00030938932,"threshold_uncertainty_score":0.99978656},"labels":[],"label_agreement":null},{"id":"W7117780691","doi":"10.1109/wincom65874.2025.11313353","title":"Towards Proactive Cybersecurity in Smart Grids: Behavioral Advanced Persistent Threat Detection via Adversarial and Autoencoder Architectures","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Autoencoder; Adversarial system; Anomaly detection; Robustness (evolution); Scalability; Smart grid; Bridging (networking); Intrusion detection system","score_opus":0.007226158674843535,"score_gpt":0.2408986500271722,"score_spread":0.23367249135232868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117780691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727767,0.00206951,0.012322425,0.00026057079,0.0036939736,0.0014048723,0.000024928197,0.00022876922,0.0072182342],"genre_scores_gemma":[0.99784887,0.00032769947,0.0011576344,0.00006048505,0.00015706137,0.00010998539,0.000006486026,0.00003116147,0.00030058966],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99720585,0.00015300568,0.0005896363,0.0008991124,0.00037641398,0.00077600306],"domain_scores_gemma":[0.9991669,0.00008963493,0.00006852551,0.00038579342,0.00008677694,0.00020236181],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027441917,0.0005917738,0.00059037295,0.00050997955,0.00031214856,0.00011190123,0.00026367992,0.0004859094,0.00013314547],"category_scores_gemma":[0.00005823804,0.00058032153,0.00029218153,0.0006651087,0.00036477568,0.00026625264,0.00023659543,0.0011120426,0.000008020522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047071073,0.002656701,0.01750549,0.0018165907,0.0012442772,0.0002183408,0.06890904,0.20519629,0.027604027,0.0015541527,0.0001171374,0.66847086],"study_design_scores_gemma":[0.011748832,0.0022241645,0.23815137,0.0010907232,0.0012161599,0.00016240342,0.015937084,0.6028026,0.11604166,0.0045588175,0.00292281,0.0031434088],"about_ca_topic_score_codex":0.0035100474,"about_ca_topic_score_gemma":0.011183262,"teacher_disagreement_score":0.6653274,"about_ca_system_score_codex":0.0005871503,"about_ca_system_score_gemma":0.00016359323,"threshold_uncertainty_score":0.99966484},"labels":[],"label_agreement":null},{"id":"W7117893037","doi":"10.48185/jaai.v6i2.1461","title":"Ensemble-based Intrusion Detection System for Electric Vehicles Charging Stations using Machine Learning","year":2025,"lang":"","type":"article","venue":"Journal of Applied Artificial Intelligence","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Support vector machine; Decision tree; Electric vehicle; Interconnectivity; Convolutional neural network; Artificial neural network; Intrusion; Smart grid","score_opus":0.024409812890412445,"score_gpt":0.2673752427211162,"score_spread":0.24296542983070374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117893037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28706217,0.0010381218,0.7092283,0.000069143454,0.0019105669,0.00048120745,0.000005587442,0.000060310867,0.0001446299],"genre_scores_gemma":[0.9935219,0.00019866569,0.0054862727,0.000031189196,0.0006902358,0.000017060176,0.0000027016133,0.000043752007,0.00000816454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968308,0.00009783441,0.0017115984,0.00033718938,0.00043958978,0.0005829692],"domain_scores_gemma":[0.9976329,0.0007697441,0.00075041415,0.00019233268,0.00050283695,0.00015173086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013335712,0.00037171852,0.0006001395,0.0011447449,0.0009766585,0.00026092667,0.0003726742,0.00027363971,0.000013282859],"category_scores_gemma":[0.00024831388,0.0003844386,0.00029520624,0.0015538755,0.00008387468,0.00022925282,0.00004442225,0.0011001299,0.000011151808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048515102,0.000063498686,0.000011363268,0.00046908305,0.00006367742,0.0000053455137,0.00047201928,0.481734,0.4432002,0.0051298086,0.0000019499826,0.06836389],"study_design_scores_gemma":[0.00009034249,0.00012503988,0.0000057193483,0.00043647073,0.00013386497,0.000011237898,0.0011697895,0.50839955,0.48771733,0.0015393269,0.00020302681,0.00016827795],"about_ca_topic_score_codex":0.000041528576,"about_ca_topic_score_gemma":0.000057043948,"teacher_disagreement_score":0.7064598,"about_ca_system_score_codex":0.0007170634,"about_ca_system_score_gemma":0.0003530324,"threshold_uncertainty_score":0.99986076},"labels":[],"label_agreement":null},{"id":"W7118006965","doi":"10.1109/isgtmiddleeast65737.2025.11314362","title":"Observer-Based Attack Detection Scheme to Supervise Line Differential Protection","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Relay; Scheme (mathematics); Protective relay; Differential (mechanical device); Fault (geology); Transmission line; Transmission (telecommunications); Line (geometry)","score_opus":0.02719186208417447,"score_gpt":0.2546154624172426,"score_spread":0.22742360033306813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118006965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58797383,0.00015224183,0.4057763,0.00070632226,0.0036620023,0.00090492895,0.000008632769,0.00029052814,0.0005251946],"genre_scores_gemma":[0.9963949,0.000035165634,0.0010370145,0.00021464733,0.00054724416,0.00016027338,0.000009506107,0.00003649492,0.0015647531],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780107,0.00008841796,0.0005578455,0.0006234492,0.0003338494,0.0005953958],"domain_scores_gemma":[0.9989753,0.000056195677,0.00003659134,0.0005413392,0.00016020912,0.00023039113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017096954,0.00043091268,0.00038156204,0.00042154524,0.0003551342,0.00018675886,0.00031176224,0.0004208893,0.00079349603],"category_scores_gemma":[0.00014711612,0.0004407135,0.00022975935,0.0013706784,0.000057147143,0.00022965322,0.00012666504,0.0006080886,0.00031255317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007667169,0.00078179734,0.0007396978,0.002581547,0.00025725257,0.000019103645,0.00044830146,0.21213041,0.7055432,0.00034909265,0.0008897377,0.075493105],"study_design_scores_gemma":[0.0008115464,0.00025470127,0.005571842,0.0002888244,0.000049257553,0.0000017857384,0.000056330566,0.5929378,0.3936068,0.000023643304,0.0060243485,0.00037304036],"about_ca_topic_score_codex":0.00030125564,"about_ca_topic_score_gemma":0.0009781339,"teacher_disagreement_score":0.40842107,"about_ca_system_score_codex":0.0002797571,"about_ca_system_score_gemma":0.00010024814,"threshold_uncertainty_score":0.99980444},"labels":[],"label_agreement":null},{"id":"W7118540686","doi":"10.1109/vtc2025-fall65116.2025.11310553","title":"A Scalable End-to-End IoT Data Pipeline with Dynamic Bucketing and Blockchain Verification","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of the Fraser Valley","funders":"","keywords":"Scalability; Pipeline (software); Anomaly detection; Wireless sensor network; Big data; Data integrity; Blockchain; Cryptography; Tree (set theory)","score_opus":0.010034472193702439,"score_gpt":0.24227857221847446,"score_spread":0.23224410002477203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118540686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75784826,0.0056378474,0.2170484,0.0051111896,0.0011173672,0.0011226548,0.00018164916,0.00038057743,0.011552067],"genre_scores_gemma":[0.9853408,0.00042677554,0.009639442,0.0002374089,0.00010733933,0.00001609205,0.00006238714,0.000032396914,0.004137356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977366,0.00006423949,0.00047293765,0.0008921572,0.0002840175,0.0005500616],"domain_scores_gemma":[0.9981633,0.00022643457,0.000054640415,0.0012713121,0.00008382983,0.00020048766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007323366,0.00034337243,0.00034660904,0.00027659407,0.00030920494,0.00018918811,0.00064616924,0.00017847809,0.00023379501],"category_scores_gemma":[0.0002069094,0.0003137844,0.000024234723,0.0010590673,0.00015755114,0.00012517312,0.0004913807,0.00040737438,0.000051817144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001037799,0.0010115149,0.012171418,0.0058819205,0.0009266892,0.00013135924,0.006757016,0.44422504,0.0920395,0.011527857,0.018824384,0.4054655],"study_design_scores_gemma":[0.0006095989,0.00006401948,0.0035911764,0.0006028455,0.0001057537,0.000018110244,0.000833519,0.97792065,0.0027239576,0.000045833003,0.013080972,0.00040358581],"about_ca_topic_score_codex":0.0003484084,"about_ca_topic_score_gemma":0.0012387543,"teacher_disagreement_score":0.5336956,"about_ca_system_score_codex":0.000092238995,"about_ca_system_score_gemma":0.00013380294,"threshold_uncertainty_score":0.9999314},"labels":[],"label_agreement":null},{"id":"W7122410408","doi":"10.23977/cpcs.2025.090115","title":"Research on Power Information Security Protection and Big Data Privacy Protection in Internet Communication","year":2025,"lang":"","type":"article","venue":"Computing Performance and Communication systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Encryption; Information privacy; The Internet; Cryptography; Data Protection Act 1998; Security service; Security information and event management; Cloud computing security; Privacy by Design; Big data","score_opus":0.08623852762988711,"score_gpt":0.3185043528099083,"score_spread":0.2322658251800212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7122410408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790169,0.0066534327,0.0061264783,0.0008676678,0.0008906947,0.0023816419,0.000010215653,0.00014238119,0.0039105825],"genre_scores_gemma":[0.9923617,0.0071611586,0.000086863525,0.00003610151,0.000056161683,0.0001278537,0.00009711188,0.00001613559,0.000056879675],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965622,0.0011320007,0.0010403013,0.000428327,0.00041662971,0.00042053495],"domain_scores_gemma":[0.9964404,0.00031377393,0.00027416428,0.0025684107,0.00032730112,0.00007593898],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0051876265,0.00029258602,0.00036738976,0.0010181151,0.000971004,0.0007390125,0.0013786128,0.00036180555,0.0000020341245],"category_scores_gemma":[0.0001929398,0.00031360457,0.000023488226,0.0014216305,0.00033604074,0.0015920638,0.0020365869,0.0019679002,0.000022419037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011027432,0.00095775194,0.024848834,0.014427931,0.00034914238,0.0000016406788,0.12711604,0.066860355,0.00028259683,0.026442328,0.0044620307,0.73314863],"study_design_scores_gemma":[0.0007706863,0.000165876,0.03588637,0.0059073255,0.0000111754935,0.000015935444,0.0038914818,0.92220765,0.00011947129,0.00010883657,0.03063859,0.0002765968],"about_ca_topic_score_codex":0.0014861984,"about_ca_topic_score_gemma":0.000093654955,"teacher_disagreement_score":0.8553473,"about_ca_system_score_codex":0.00030925495,"about_ca_system_score_gemma":0.00010271365,"threshold_uncertainty_score":0.99993163},"labels":[],"label_agreement":null},{"id":"W7123334908","doi":"10.1109/cdc57313.2025.11312338","title":"Cyber-Resilience Certification of Cyber-Physical Systems Subject to Impactful-Stealthy Cyber-Attacks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Leverage (statistics); Adversarial system; Certification; Vulnerability (computing); Industrial control system; Vulnerability assessment; Control (management)","score_opus":0.012320838244521782,"score_gpt":0.2784193622055897,"score_spread":0.2660985239610679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123334908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.926608,0.0027412507,0.023513203,0.0015850206,0.0056920988,0.0022625173,0.00011446247,0.00039514014,0.037088286],"genre_scores_gemma":[0.99412286,0.00033440016,0.00023876812,0.00018544943,0.00053014996,0.00012672161,0.00001611138,0.000067291105,0.0043782624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99431336,0.00031757826,0.0016900869,0.0012473575,0.0010044908,0.0014270998],"domain_scores_gemma":[0.9959091,0.00087610545,0.0002852359,0.0017915361,0.00046288274,0.00067513355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080522907,0.0008380149,0.0013058292,0.00080333353,0.0003761497,0.00025751154,0.0013326732,0.000522184,0.000120498975],"category_scores_gemma":[0.00047941902,0.0008070836,0.00043496615,0.0031210217,0.00035566275,0.00055625534,0.0003193739,0.00082810264,0.00052652456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006902679,0.0022756404,0.009503437,0.006261731,0.000816151,0.00004350136,0.016922027,0.6101462,0.22146784,0.07502634,0.037215836,0.019630978],"study_design_scores_gemma":[0.0026060783,0.001626325,0.105410725,0.004632294,0.00067180645,0.000058344,0.008051035,0.5212972,0.3109672,0.0006762401,0.040383678,0.0036190602],"about_ca_topic_score_codex":0.0030353093,"about_ca_topic_score_gemma":0.00039873173,"teacher_disagreement_score":0.095907286,"about_ca_system_score_codex":0.00058513123,"about_ca_system_score_gemma":0.00052788353,"threshold_uncertainty_score":0.999438},"labels":[],"label_agreement":null},{"id":"W7123339737","doi":"10.1109/cdc57313.2025.11312772","title":"Robust Decentralized Control for Local Detection of Covert Cyberattacks in Interconnected Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covert; Decentralised system; Isolation (microbiology); Controller (irrigation); Fault detection and isolation; Observer (physics)","score_opus":0.0071705982704494365,"score_gpt":0.2088167648223744,"score_spread":0.20164616655192497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123339737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17864102,0.00045590286,0.81890565,0.000018721461,0.0009170336,0.00036570607,0.00000666731,0.00008399483,0.00060531695],"genre_scores_gemma":[0.99973816,0.00003202565,0.000067681976,0.000025907524,0.000015736276,0.000047138965,0.0000023571424,0.000005914674,0.000065067485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945384,0.000020789736,0.00023424462,0.00009424927,0.00004824937,0.00014863488],"domain_scores_gemma":[0.9996866,0.00014979893,0.0000136974295,0.0000862402,0.0000420451,0.000021610504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095074705,0.00007554683,0.00018581426,0.000103583705,0.000016376893,0.000013064238,0.000071155744,0.00008677751,0.000008029776],"category_scores_gemma":[0.000045892404,0.000068381734,0.000041504252,0.00018781197,0.000025047195,0.00005942398,0.0000060820166,0.00007161565,0.0000013735635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019252667,0.000045005898,0.0013328093,0.00046494574,0.000073238894,0.0000014825774,0.00014576735,0.9560725,0.036320463,0.0026575734,0.0007496056,0.0019440483],"study_design_scores_gemma":[0.0017456042,0.00002870879,0.0008900165,0.000115363786,0.0000111275585,0.0000013983142,0.0002218426,0.95423096,0.04134357,0.00003553641,0.0012983081,0.00007757596],"about_ca_topic_score_codex":0.00016535852,"about_ca_topic_score_gemma":0.0008858722,"teacher_disagreement_score":0.82109714,"about_ca_system_score_codex":0.00006973597,"about_ca_system_score_gemma":0.000013853663,"threshold_uncertainty_score":0.27885264},"labels":[],"label_agreement":null},{"id":"W7123339816","doi":"10.1109/cdc57313.2025.11312229","title":"Robust Privacy-Preserving Cloud-Based Control Using Reed-Solomon Codes","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Cloud computing; Scheme (mathematics); Secret sharing; Secrecy; Access control; Computation; Control (management)","score_opus":0.02214365179442766,"score_gpt":0.24353402754888576,"score_spread":0.2213903757544581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123339816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3586897,0.005978985,0.6032178,0.0013710523,0.0063736383,0.0010387736,0.000043925964,0.00063976547,0.022646384],"genre_scores_gemma":[0.9915162,0.00016495687,0.0063073533,0.00066590414,0.00054704066,0.000016722557,0.000006633456,0.000057401558,0.0007177864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966043,0.00020328755,0.00089866214,0.00075019395,0.00044094934,0.0011025857],"domain_scores_gemma":[0.9975676,0.0006614413,0.0001183493,0.0012204387,0.00018812252,0.00024407484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006414331,0.0005734068,0.00077951024,0.0003921976,0.0005714429,0.00032164957,0.0012522351,0.000530663,0.0006279543],"category_scores_gemma":[0.0005564146,0.00061692094,0.000313882,0.0010622629,0.0002521052,0.00037258206,0.00029909707,0.0008007934,0.000054786095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013720486,0.00014609392,0.006381021,0.0009106902,0.00023596997,0.000041333362,0.00031355114,0.9655,0.02116389,0.0020972865,0.002472318,0.0006006364],"study_design_scores_gemma":[0.0021476152,0.000060295948,0.0015995159,0.0010698505,0.00022717562,0.000005386954,0.00031008612,0.96759427,0.022638038,0.0002853612,0.0034293758,0.0006330166],"about_ca_topic_score_codex":0.0008082665,"about_ca_topic_score_gemma":0.00029152032,"teacher_disagreement_score":0.6328265,"about_ca_system_score_codex":0.0003234575,"about_ca_system_score_gemma":0.00033629913,"threshold_uncertainty_score":0.9996282},"labels":[],"label_agreement":null},{"id":"W7123344028","doi":"10.1109/cdc57313.2025.11312904","title":"A Dynamic Coding Scheme to Prevent Covert Cyber-Attacks in Cyber-Physical Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Covert; Coding (social sciences); Scheme (mathematics); Context (archaeology); Covert channel; Countermeasure","score_opus":0.006210621711958189,"score_gpt":0.25835553841536923,"score_spread":0.25214491670341105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123344028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381601,0.0021271287,0.019214189,0.00090227317,0.005015045,0.001775308,0.000029996178,0.0002755364,0.03250041],"genre_scores_gemma":[0.99249136,0.00028363228,0.00031680835,0.00018876973,0.00016014314,0.0001316344,0.000006289914,0.00004216253,0.0063792183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968317,0.00011667758,0.0008046866,0.0007933076,0.0004563807,0.0009972061],"domain_scores_gemma":[0.99860126,0.000312862,0.000054669796,0.0006744818,0.000071565286,0.00028515712],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038006742,0.0005336559,0.0008019594,0.0004949958,0.00015559985,0.00023196744,0.00060715317,0.00031271885,0.0000703309],"category_scores_gemma":[0.00013828611,0.0005490036,0.0002135714,0.0015625234,0.000079572965,0.00027688296,0.00037257295,0.0007774021,0.00041656845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017209671,0.0025766501,0.0044423835,0.004561805,0.0006632738,0.00023680332,0.008742479,0.7988974,0.05159761,0.11272959,0.0115975095,0.0037824123],"study_design_scores_gemma":[0.0007135076,0.00011137193,0.0032355697,0.0027365764,0.000050169252,0.000010624806,0.0010365429,0.9771101,0.003396219,0.0001459963,0.010693924,0.0007594062],"about_ca_topic_score_codex":0.0005923095,"about_ca_topic_score_gemma":0.0006071022,"teacher_disagreement_score":0.1782127,"about_ca_system_score_codex":0.00086946576,"about_ca_system_score_gemma":0.00018102524,"threshold_uncertainty_score":0.99969614},"labels":[],"label_agreement":null},{"id":"W7123358555","doi":"10.1109/dsa66321.2025.00030","title":"Enhancing Risk Assessment Through Contextualized Application of Systematic Impact Analysis","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Risk assessment; Context (archaeology); Process (computing); Limiting; Impact assessment; Systematic review; Risk management","score_opus":0.007858328791521573,"score_gpt":0.314801240080613,"score_spread":0.3069429112890914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123358555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08853739,0.0041658003,0.89771754,0.000031416872,0.0003174138,0.0012402689,0.00003482951,0.000096895754,0.007858425],"genre_scores_gemma":[0.99275666,0.0010542729,0.0058097783,0.00002361496,0.000032539847,0.000112387424,0.000013566007,0.000014373997,0.00018279334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690735,0.00032642475,0.001565217,0.0004192096,0.00040658502,0.00037519782],"domain_scores_gemma":[0.99744385,0.00081492134,0.00046347658,0.0009650264,0.0002356775,0.0000770502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001017734,0.00035202442,0.00150893,0.00044623794,0.00016510533,0.000087739514,0.00039531646,0.0002216447,0.00024041715],"category_scores_gemma":[0.0002282968,0.00028638542,0.0008113322,0.003084951,0.00009082538,0.00026215985,0.00008441071,0.00031397463,0.000022969534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097729586,0.0008366163,0.05873364,0.16899154,0.041529514,0.0000045928805,0.009789653,0.62088084,0.051467672,0.046744563,0.00026561908,0.000658035],"study_design_scores_gemma":[0.0006832996,0.000064665786,0.014875573,0.0032701304,0.008492656,8.885739e-7,0.002727113,0.95280606,0.016090348,0.000626837,0.000019969184,0.00034246655],"about_ca_topic_score_codex":0.0024955864,"about_ca_topic_score_gemma":0.00073441624,"teacher_disagreement_score":0.90421927,"about_ca_system_score_codex":0.00034097306,"about_ca_system_score_gemma":0.00014408666,"threshold_uncertainty_score":0.9999588},"labels":[],"label_agreement":null},{"id":"W7123362081","doi":"10.1109/cdc57313.2025.11312670","title":"Resilient Distributed State Estimation for Nonlinear Cyber-Physical Systems with Sensor Networks under Cyberattacks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Wireless sensor network; State (computer science); Sensor fusion; Nonlinear system; State estimator; Node (physics); Estimator; Estimation","score_opus":0.0067440462852251,"score_gpt":0.2446798856912798,"score_spread":0.2379358394060547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123362081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.110275805,0.00065723754,0.8835104,0.00045437107,0.0019429786,0.0017896458,0.00038039256,0.0003066454,0.0006824817],"genre_scores_gemma":[0.99076194,0.00012985393,0.0053123534,0.000098299395,0.00046423788,0.00017356801,0.0004357593,0.00007067818,0.0025533256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997119,0.00009986643,0.0007116734,0.0007314726,0.00039151032,0.000946482],"domain_scores_gemma":[0.9980212,0.0006591982,0.00012454273,0.0006231573,0.00033044416,0.00024149542],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026510772,0.0005965325,0.00070567965,0.00015618454,0.0004314754,0.00040474534,0.00029131217,0.00028425633,0.000012648437],"category_scores_gemma":[0.000059439542,0.00049427705,0.00018241932,0.00090968143,0.00021005215,0.00028091576,0.00008455522,0.00055138767,0.000027916312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027967055,0.00024156623,0.00011215219,0.0005972348,0.00032494994,0.000010862586,0.0002497836,0.98897105,0.00009297584,0.0047419746,0.0036633946,0.00071436586],"study_design_scores_gemma":[0.0014645078,0.00025278633,0.0007402332,0.0007094892,0.00021819863,0.00001036038,0.0005196483,0.9907824,0.0009959723,0.00014203294,0.0035714838,0.0005929312],"about_ca_topic_score_codex":0.00012656704,"about_ca_topic_score_gemma":0.00012562353,"teacher_disagreement_score":0.88048613,"about_ca_system_score_codex":0.00032974183,"about_ca_system_score_gemma":0.00018297182,"threshold_uncertainty_score":0.9997509},"labels":[],"label_agreement":null},{"id":"W7124144389","doi":"10.1109/codit66093.2025.11321524","title":"Parallel CNN Deep Learning Model for Security Monitoring and Fault Prediction in Electrical Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; Université Laval","funders":"","keywords":"SCADA; Deep learning; Set (abstract data type); Fault (geology); Track (disk drive); Key (lock); Fault detection and isolation; Cyber-physical system","score_opus":0.009167824899947434,"score_gpt":0.23770610918917498,"score_spread":0.22853828428922754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124144389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.383523,0.015215135,0.5960087,0.00006804292,0.0019235401,0.0010462045,0.0000063494763,0.0002487839,0.0019602755],"genre_scores_gemma":[0.99424183,0.0028989934,0.0010888824,0.0000059459344,0.00029566957,0.00017157968,0.0000045205866,0.00002432658,0.0012682211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979305,0.00007509108,0.00060632033,0.000517713,0.00021541155,0.00065493525],"domain_scores_gemma":[0.9992699,0.0002974636,0.000049381346,0.00017460216,0.00007870187,0.0001299252],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045316876,0.00030591033,0.00042143118,0.0003250247,0.00028093604,0.00016777436,0.0001637507,0.0004457345,0.0000036330018],"category_scores_gemma":[0.00018752409,0.00032713977,0.00008511828,0.00052450196,0.000050226437,0.00031249234,0.000076665,0.0008461759,0.0000035218918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007825472,0.000061758255,0.0193629,0.00083296484,0.000053195858,0.0000028131071,0.0020119157,0.9705277,0.00041872414,0.0047074193,0.000090885216,0.0018514313],"study_design_scores_gemma":[0.0010722433,0.000082167,0.002584843,0.00038119225,0.000047199886,0.0000047832477,0.0007508017,0.9933664,0.00026846232,0.0007605015,0.00041307503,0.0002682931],"about_ca_topic_score_codex":0.00013018417,"about_ca_topic_score_gemma":0.00004120658,"teacher_disagreement_score":0.6107189,"about_ca_system_score_codex":0.00025485182,"about_ca_system_score_gemma":0.000060046743,"threshold_uncertainty_score":0.99991804},"labels":[],"label_agreement":null},{"id":"W7124273062","doi":"10.23977/acss.2025.090413","title":"Research on Security Protection Strategies for Power Information Data Based on Big Data","year":2025,"lang":"","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data Protection Act 1998; Big data; Information privacy; Security service; Privacy by Design; Security information and event management; Vulnerability (computing); Context (archaeology); Protection mechanism; Access control","score_opus":0.0998472214123275,"score_gpt":0.3573892687887574,"score_spread":0.2575420473764299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124273062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006051933,0.008726234,0.9709426,0.0002656367,0.008872273,0.0027446763,0.000674604,0.00007567979,0.0016463567],"genre_scores_gemma":[0.9975699,0.0009980588,0.0003531741,0.000091738715,0.00060554344,0.00013187523,0.00022898226,0.000012657106,0.000008022651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971395,0.00036845883,0.0007380178,0.00072617136,0.0005331752,0.0004946582],"domain_scores_gemma":[0.9969365,0.0010472169,0.000115963485,0.0016362324,0.00019010251,0.00007399358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031175257,0.00028768214,0.000409084,0.00064815837,0.00033869143,0.0008398244,0.0012155531,0.00022695387,0.000002596747],"category_scores_gemma":[0.00008931153,0.00026350346,0.000029023564,0.0007538187,0.00012804069,0.0028564008,0.0004699581,0.0006412367,0.000007863462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029849634,0.00014937927,0.000056195386,0.0042728884,0.00003664377,0.000004184425,0.0007176772,0.9000613,0.00002168082,0.007395192,0.0025027918,0.08448354],"study_design_scores_gemma":[0.00076151924,0.0005336644,0.00009426724,0.0028691508,0.0000070351916,0.0000016815076,0.00091485813,0.89714164,0.00004471933,0.0011240048,0.09627476,0.00023267684],"about_ca_topic_score_codex":0.00013368641,"about_ca_topic_score_gemma":0.000118540906,"teacher_disagreement_score":0.991518,"about_ca_system_score_codex":0.00009058163,"about_ca_system_score_gemma":0.00019895105,"threshold_uncertainty_score":0.9999817},"labels":[],"label_agreement":null},{"id":"W7124957987","doi":"10.1109/sensors59705.2025.11330604","title":"Trends in High-Resolution Sensor Data Processing and AI for Power Grid Monitoring and Intelligence","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ballard Power Systems (Canada)","funders":"","keywords":"Anomaly detection; Data processing; Grid; Power grid; Data integration; Power (physics); Smart grid; Transformative learning","score_opus":0.023772801442564696,"score_gpt":0.2988191471913233,"score_spread":0.2750463457487586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124957987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71616656,0.0371427,0.23463523,0.0029078939,0.006379103,0.00083924155,0.00016934155,0.00025276866,0.0015071653],"genre_scores_gemma":[0.9926745,0.0016082427,0.004978504,0.000033661414,0.0002462021,0.000014237672,0.000017596449,0.00001737911,0.00040965533],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983409,0.000026051446,0.00042276498,0.0006379891,0.00012791988,0.00044434413],"domain_scores_gemma":[0.9992819,0.00015903803,0.00003719317,0.0003817648,0.000050949173,0.00008917455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035778782,0.00025588102,0.00028926466,0.0004319005,0.00020772124,0.00022279535,0.00026998646,0.00019696802,0.000015997906],"category_scores_gemma":[0.00011027356,0.0002560334,0.000021987194,0.0006537873,0.00013707041,0.00073568407,0.00033899574,0.00032070014,0.0000010647484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040038172,0.00030935096,0.04884304,0.0045281616,0.00016813676,0.00003487789,0.005705476,0.03788211,0.0066371756,0.0073095122,0.0023444258,0.8858374],"study_design_scores_gemma":[0.00072188093,0.00010210302,0.04920161,0.0015113128,0.000079995574,0.000014035571,0.0020306348,0.92945904,0.010372386,0.0005665278,0.0053489776,0.00059149426],"about_ca_topic_score_codex":0.00016014418,"about_ca_topic_score_gemma":0.00011073684,"teacher_disagreement_score":0.89157695,"about_ca_system_score_codex":0.0000624252,"about_ca_system_score_gemma":0.000041463365,"threshold_uncertainty_score":0.9999892},"labels":[],"label_agreement":null},{"id":"W7125495591","doi":"10.1109/fes65767.2025.11341772","title":"A Deep Learning Framework Using Bidirectional LSTM and Covariance Elliptic Envelope for Anomaly Detection in Smart Grid Security","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Deep learning; Anomaly detection; Envelope (radar); Covariance; Pattern recognition (psychology); Smart grid","score_opus":0.008753284228208376,"score_gpt":0.23953460321280018,"score_spread":0.2307813189845918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125495591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45768997,0.0045433664,0.5326317,0.00010148399,0.0037909213,0.00043396486,0.000004637276,0.00013283473,0.00067110703],"genre_scores_gemma":[0.98206216,0.0013749766,0.015630508,0.00009243196,0.0004725784,0.00006235426,0.0000041782614,0.000035896042,0.00026491767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976526,0.00013726039,0.00062913337,0.00070309354,0.0002088328,0.0006690813],"domain_scores_gemma":[0.9986354,0.0008182279,0.000090808026,0.00021683595,0.00011349935,0.0001252309],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00065720937,0.000397717,0.00047111014,0.0004874393,0.0005929157,0.00019709345,0.00016929944,0.00057465065,0.00008841056],"category_scores_gemma":[0.0006396771,0.00046408447,0.00012359497,0.0013238417,0.00015580739,0.00038419425,0.00011080328,0.0011269947,0.000008642161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072760094,0.00036903287,0.08484186,0.0034892187,0.0004599135,0.000033727265,0.006072154,0.8350613,0.013770005,0.017978845,0.000059269732,0.03713706],"study_design_scores_gemma":[0.0007066855,0.000096803094,0.02177565,0.00070414116,0.000076812044,0.00003247032,0.00047058015,0.9581685,0.0062785856,0.0033924168,0.007781474,0.00051587657],"about_ca_topic_score_codex":0.00038640204,"about_ca_topic_score_gemma":0.00096806674,"teacher_disagreement_score":0.5243722,"about_ca_system_score_codex":0.00034338536,"about_ca_system_score_gemma":0.00012887066,"threshold_uncertainty_score":0.9997811},"labels":[],"label_agreement":null},{"id":"W7125497370","doi":"10.18280/jesa.581213","title":"Real-time Communications Network Modeling for Critical Virtual Power Plant Applications","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Mosul","keywords":"Power (physics); Telecommunications network; Key (lock); Network model; Communications system; Component (thermodynamics); Models of communication","score_opus":0.018095257006379588,"score_gpt":0.27885116674418553,"score_spread":0.26075590973780594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125497370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008013056,0.015418599,0.95141554,0.0017620585,0.0029251105,0.0016473659,0.00038056643,0.00073113764,0.017706541],"genre_scores_gemma":[0.8905971,0.012908545,0.09256125,0.00021745973,0.0015511626,0.00036676234,0.00006512014,0.00018869777,0.0015438776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99563706,0.0004590521,0.001783498,0.00048036885,0.0004719279,0.0011680882],"domain_scores_gemma":[0.99532753,0.0020534764,0.00025008788,0.0013496225,0.0005713522,0.00044789963],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001322913,0.00056152954,0.0008325071,0.00037263922,0.0028215628,0.0008213577,0.0017543329,0.00037862023,0.00014898033],"category_scores_gemma":[0.0005615455,0.0005756315,0.00047236108,0.0009343283,0.00055151415,0.0005581641,0.00044949658,0.0011585664,0.00019571604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010449964,0.0004873591,0.00012209038,0.0011824743,0.0008724155,0.000034016906,0.0019672953,0.5790217,0.0025260963,0.35162595,0.027451565,0.03460452],"study_design_scores_gemma":[0.0005653451,0.00017715275,0.00150358,0.0021035871,0.00034732968,0.00037263153,0.00036389014,0.95757663,0.000025758416,0.021200994,0.015222023,0.00054105814],"about_ca_topic_score_codex":0.000021212416,"about_ca_topic_score_gemma":0.000016342143,"teacher_disagreement_score":0.8825841,"about_ca_system_score_codex":0.0005099697,"about_ca_system_score_gemma":0.00047193147,"threshold_uncertainty_score":0.9996695},"labels":[],"label_agreement":null},{"id":"W7125608105","doi":"10.1109/cascon66301.2025.00054","title":"Detection and Prevention of Malicious Data Manipulation Attacks in Microgrids","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Anomaly detection; Encryption; Reliability (semiconductor); Probabilistic logic; Smart grid; Data integrity; Vulnerability (computing); Grid","score_opus":0.021658278940726076,"score_gpt":0.2821587075966124,"score_spread":0.2605004286558863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125608105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9285807,0.0038450824,0.06476215,0.00007145628,0.00083211303,0.00035962457,0.000009213339,0.00003657857,0.0015030808],"genre_scores_gemma":[0.9975313,0.0015290398,0.0005471306,0.0000099971785,0.000042379954,0.0000038159856,0.000019323716,0.0000073621964,0.00030967087],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989619,0.000050807135,0.0004286714,0.0002985721,0.00009459144,0.00016545947],"domain_scores_gemma":[0.9994437,0.000048205307,0.00004871865,0.00040827863,0.000026023235,0.000025083162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030933335,0.00012703602,0.00018703424,0.00026271978,0.00004381645,0.000029360215,0.0001805903,0.00017716437,0.000035258578],"category_scores_gemma":[0.000037398073,0.00014085966,0.000025088542,0.0004531825,0.000053798278,0.0003179955,0.00018448976,0.0001703136,0.0000031488792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024502416,0.00048258223,0.07810152,0.004807053,0.00024188102,0.000011610014,0.0016517324,0.04092239,0.20206667,0.0036344663,0.0005039053,0.66733116],"study_design_scores_gemma":[0.0009104291,0.00009312264,0.2964554,0.00061658496,0.00008115727,0.000009190786,0.00034898013,0.6530833,0.045520097,0.0010427552,0.0016052878,0.00023368339],"about_ca_topic_score_codex":0.0003427112,"about_ca_topic_score_gemma":0.0026666704,"teacher_disagreement_score":0.6670975,"about_ca_system_score_codex":0.00004813175,"about_ca_system_score_gemma":0.000023653145,"threshold_uncertainty_score":0.574409},"labels":[],"label_agreement":null},{"id":"W7125811549","doi":"10.1109/vcc67261.2025.11351232","title":"Privacy-Preserving Energy Forecasting in 5G+ Smart Grids Using PSI-Constrained LSTM Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Smart grid; Smart meter; Software deployment; Intersection (aeronautics); Set (abstract data type); Data sharing; Big data; Efficient energy use; Energy (signal processing)","score_opus":0.019552078529496968,"score_gpt":0.23483184199839005,"score_spread":0.21527976346889308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125811549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5063667,0.0071511245,0.4091658,0.0004765588,0.007407047,0.0005532609,0.000008094929,0.00042562926,0.068445764],"genre_scores_gemma":[0.99289006,0.0005898569,0.004548691,0.00029357747,0.00067430036,0.000021727219,0.000010206147,0.000070030175,0.0009015409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99550164,0.00018800575,0.0013732079,0.00090246776,0.00036468718,0.0016699958],"domain_scores_gemma":[0.99793595,0.0006345566,0.00013664083,0.000923941,0.00011208191,0.00025684197],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007781323,0.00071939226,0.0008217406,0.000756922,0.00044502932,0.00031692782,0.0011701294,0.00068814313,0.00042634184],"category_scores_gemma":[0.00048432298,0.00079067796,0.00027736177,0.002446623,0.00023916778,0.0006543047,0.00090404024,0.0010624483,0.0000053010817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052672985,0.00011369516,0.013280378,0.0004575317,0.0001609966,0.00013839913,0.00071510446,0.9555267,0.0016233664,0.008657524,0.00075792364,0.01851572],"study_design_scores_gemma":[0.0009992846,0.00003577102,0.002143885,0.0019068371,0.00006846527,0.000040875973,0.0005555087,0.98735166,0.0020606425,0.0010561831,0.0030282931,0.00075260375],"about_ca_topic_score_codex":0.0029262367,"about_ca_topic_score_gemma":0.0023169252,"teacher_disagreement_score":0.48652336,"about_ca_system_score_codex":0.00040873268,"about_ca_system_score_gemma":0.00029802983,"threshold_uncertainty_score":0.99945444},"labels":[],"label_agreement":null},{"id":"W7125958181","doi":"10.1109/commnet68224.2025.11288886","title":"Graph Neural Network Framework for Advanced Persistent Threat Detection in IIoT Environments","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Graph; Industrial Internet; Anomaly detection; Deep learning; Process (computing); Artificial neural network; Feature (linguistics)","score_opus":0.007411346169967528,"score_gpt":0.22529196673073976,"score_spread":0.21788062056077223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125958181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5943448,0.010617743,0.3817261,0.00045999017,0.009280993,0.0016825497,0.00000835675,0.00013501795,0.0017444841],"genre_scores_gemma":[0.9925209,0.0017837923,0.004229964,0.0002234545,0.00027481248,0.00014923495,0.000004180766,0.000028618504,0.0007850189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979978,0.000047135243,0.00047016874,0.0005336383,0.00017938766,0.0007718501],"domain_scores_gemma":[0.9991549,0.00030482063,0.00004847477,0.00037700843,0.000010981175,0.000103802675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017703071,0.00034952385,0.00035847296,0.00017170246,0.0002832532,0.000056925994,0.00025845066,0.00040293077,0.00009512582],"category_scores_gemma":[0.000062914245,0.00036561934,0.0003559587,0.00062373467,0.00009867748,0.0001561904,0.00009015166,0.0005646136,0.000015083208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021908422,0.000103978826,0.0025479307,0.00019717317,0.00010052978,0.0000035741925,0.00036922863,0.96565616,0.0013925256,0.0035612895,0.00011596454,0.025732562],"study_design_scores_gemma":[0.0031701545,0.00070837024,0.027096307,0.0012637918,0.00026821866,0.0000073132605,0.001967115,0.9070635,0.016641002,0.027812984,0.012730262,0.0012709876],"about_ca_topic_score_codex":0.00002761327,"about_ca_topic_score_gemma":0.0002521112,"teacher_disagreement_score":0.39817613,"about_ca_system_score_codex":0.00024057648,"about_ca_system_score_gemma":0.000014971967,"threshold_uncertainty_score":0.9998796},"labels":[],"label_agreement":null},{"id":"W7126064032","doi":"10.26678/abcm.cobem2025.cob2025-1858","title":"QUARTER DRONE BENCH FOR SYSTEM IDENTIFICATION AND CONTROL","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Drone; Identification (biology); Control system; Control (management); Quarter (Canadian coin); System identification","score_opus":0.0030088794523233636,"score_gpt":0.20452498665699853,"score_spread":0.20151610720467517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126064032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059526023,0.0051455507,0.9232513,0.0015167454,0.0038089876,0.0014054764,0.000044242784,0.00019163037,0.0051100575],"genre_scores_gemma":[0.99715596,0.00008756294,0.00016725434,0.00006706318,0.00014506768,0.0001053894,0.000005017314,0.000009556366,0.0022571215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890786,0.00002657609,0.00041147976,0.00029537632,0.00009642417,0.00026228098],"domain_scores_gemma":[0.9993782,0.00019493753,0.00003852285,0.00024533458,0.00007937389,0.000063655294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029497177,0.00015983557,0.00024319354,0.00011680738,0.00019379793,0.00015165216,0.00012063863,0.00016002747,0.000021556458],"category_scores_gemma":[0.000030153424,0.00015594777,0.00006674634,0.00016191702,0.000057490004,0.00016013227,0.00001580717,0.0001000674,0.000025562435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033752565,0.00032112908,0.005245026,0.025322843,0.0013062821,0.0000091607435,0.0050146664,0.011120326,0.13411748,0.7370651,0.05952809,0.020612387],"study_design_scores_gemma":[0.0022417314,0.000077141965,0.01156752,0.00040315563,0.0002511593,0.0000067356905,0.0026658606,0.9625762,0.011958272,0.00049209705,0.007428281,0.00033183303],"about_ca_topic_score_codex":0.00002585744,"about_ca_topic_score_gemma":0.000029045372,"teacher_disagreement_score":0.9514559,"about_ca_system_score_codex":0.00006880393,"about_ca_system_score_gemma":0.00002649346,"threshold_uncertainty_score":0.6359365},"labels":[],"label_agreement":null},{"id":"W7127150443","doi":"10.1109/trustcom66490.2025.00256","title":"L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Reinforcement learning; Leverage (statistics); Process (computing); Adversary; Matching (statistics); State (computer science); Key (lock); Function (biology)","score_opus":0.005626917600127772,"score_gpt":0.22686514276829395,"score_spread":0.22123822516816619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127150443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71239185,0.0003797656,0.27933905,0.000014646277,0.00008456253,0.0001536409,0.0000024587623,0.000247028,0.0073870244],"genre_scores_gemma":[0.9965192,0.000027830767,0.0020417464,0.000042019452,0.000025188172,0.000010772036,0.000014133895,0.000022303644,0.0012968159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989989,0.000025231202,0.000221261,0.00020664073,0.00018745927,0.00036051532],"domain_scores_gemma":[0.99959886,0.00005249407,0.00003998188,0.00021180038,0.000032128195,0.000064726584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130817,0.00018504121,0.00025418922,0.00009178552,0.000115765186,0.000029220542,0.00012796788,0.000063799984,0.000020468964],"category_scores_gemma":[0.000019128369,0.0001556096,0.00006466045,0.0002315515,0.000040039416,0.00014825177,0.000071309136,0.00026084573,0.000008823152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016152779,0.000069708854,0.0005523721,0.00017198642,0.00007706346,0.000015274562,0.0047755977,0.9784877,0.01215846,0.0030378816,0.00024487652,0.0003929534],"study_design_scores_gemma":[0.00065003964,0.000042798183,0.0001405769,0.00021589111,0.000037931975,0.0000038392077,0.0018484773,0.96988827,0.026589803,0.000009842981,0.00037869698,0.00019382926],"about_ca_topic_score_codex":0.00016580298,"about_ca_topic_score_gemma":0.000048716935,"teacher_disagreement_score":0.28412735,"about_ca_system_score_codex":0.000070817274,"about_ca_system_score_gemma":0.000030374078,"threshold_uncertainty_score":0.63455755},"labels":[],"label_agreement":null},{"id":"W7127282427","doi":"10.1109/ccece64018.2025.11364407","title":"False Data Injection Attacks on Wide-Area Out-of-Step Prediction Scheme","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Lakehead University","funders":"","keywords":"Swing; Trajectory; Electric power system; Voltage; Waveform; Power (physics); Control theory (sociology); SIGNAL (programming language)","score_opus":0.03318681011853303,"score_gpt":0.2782063601981219,"score_spread":0.24501955007958887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127282427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36642393,0.0031438405,0.4611234,0.001147093,0.038328644,0.0016479339,0.0006906628,0.0010356504,0.12645884],"genre_scores_gemma":[0.9946324,0.00094702793,0.00099272,0.00015873178,0.00025097377,0.000013044052,0.00016012094,0.000028506984,0.0028164582],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769884,0.00006703068,0.000723067,0.0007014181,0.00039996195,0.00040968249],"domain_scores_gemma":[0.9978315,0.00027436373,0.00009419589,0.0015761943,0.0001143704,0.00010933657],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004390247,0.000343061,0.0003811954,0.00035007804,0.00019233595,0.00007514037,0.0007197891,0.00040817013,0.0002856445],"category_scores_gemma":[0.0004053786,0.00034254818,0.000102352395,0.00070797326,0.0001375239,0.0005963863,0.00039924777,0.00059993286,0.00012836147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011131122,0.0022902016,0.1615256,0.005279756,0.0021571338,0.000038100592,0.003679569,0.24282645,0.016517714,0.02075909,0.48330393,0.06050933],"study_design_scores_gemma":[0.001016641,0.00038199243,0.018040275,0.0012189565,0.00015747287,0.000003873879,0.0006994224,0.8891569,0.008343156,0.00017151289,0.08035906,0.0004507747],"about_ca_topic_score_codex":0.00013440123,"about_ca_topic_score_gemma":0.00030245614,"teacher_disagreement_score":0.6463304,"about_ca_system_score_codex":0.00014238014,"about_ca_system_score_gemma":0.00011788292,"threshold_uncertainty_score":0.99990267},"labels":[],"label_agreement":null},{"id":"W7127435760","doi":"10.1109/ccece64018.2025.11364467","title":"Machine Learning-Based Cyberattack Detection and Identification for Automatic Generation Control Systems Considering Nonlinearities","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Identification (biology); Automatic Generation Control; Set (abstract data type); False alarm; ALARM; Data set; Constant false alarm rate; Control (management); Key (lock)","score_opus":0.011697540794773415,"score_gpt":0.23461356219815072,"score_spread":0.2229160214033773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127435760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14986894,0.0068024015,0.8380544,0.00027691288,0.0030604557,0.0014333582,0.000040478517,0.00034087242,0.00012218527],"genre_scores_gemma":[0.9976841,0.0002133886,0.0005926879,0.00006412341,0.00031337637,0.0002427296,0.000043341675,0.00002881438,0.0008174222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982418,0.00014253319,0.00073629833,0.00039853578,0.00016788427,0.000312943],"domain_scores_gemma":[0.9989011,0.00048546513,0.00012727022,0.00021412972,0.00019947949,0.000072545314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058505364,0.00028806285,0.00037842712,0.00029331606,0.00063991634,0.00061838044,0.000085834,0.00024532567,0.000018615987],"category_scores_gemma":[0.00033509068,0.0003079941,0.00008711626,0.000241213,0.00010214324,0.000280636,0.000017208078,0.00027581566,0.0000072876323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002698555,0.000040150262,0.00053477765,0.0023268708,0.00012811268,0.0000010704346,0.00021092306,0.9442295,0.047487088,0.0010815257,0.00008324372,0.0038497436],"study_design_scores_gemma":[0.0016014712,0.00008530502,0.0005986444,0.00023878929,0.00016693666,0.0000066678203,0.00023548363,0.973161,0.021711504,0.000028269462,0.0018876073,0.00027831984],"about_ca_topic_score_codex":0.0001851004,"about_ca_topic_score_gemma":0.00044401755,"teacher_disagreement_score":0.84781516,"about_ca_system_score_codex":0.00013176209,"about_ca_system_score_gemma":0.00008339959,"threshold_uncertainty_score":0.99993724},"labels":[],"label_agreement":null},{"id":"W7128013766","doi":"10.1109/conisoft66928.2025.00030","title":"A Blockchain-Based Cybersecurity Model for Unauthorized Outage Prevention in Ami/Scada Distribution Systems in MéXico","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Resilience (materials science); Context (archaeology); Scheme (mathematics); SCADA; Service (business); Control (management); Authorization; Industrial control system; Software; Metering mode","score_opus":0.013724249123139581,"score_gpt":0.26307278809792756,"score_spread":0.24934853897478798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128013766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49015075,0.0013446969,0.50334215,0.00021751215,0.0018022883,0.0024047848,0.00023204529,0.00013512743,0.00037063827],"genre_scores_gemma":[0.99737066,0.000060313,0.00049674563,0.000032198084,0.00008345193,0.0005241885,0.00014444067,0.00002876188,0.001259248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99662256,0.00021374515,0.0012573677,0.00072502083,0.00032125268,0.0008600354],"domain_scores_gemma":[0.9988351,0.0003392081,0.0001259392,0.00046249758,0.00010869993,0.00012855447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012744205,0.0004723406,0.00073304365,0.00048561083,0.0001487044,0.000120088174,0.00034980106,0.00064367783,0.000014426084],"category_scores_gemma":[0.00027522355,0.0005203764,0.00027345007,0.0012896243,0.00008519314,0.00010651273,0.00007218787,0.0006134642,0.000006461513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025919575,0.0005113603,0.0018105765,0.0019184683,0.000038302118,0.000008132197,0.00082075846,0.96073663,0.0006256512,0.032570448,0.00019376601,0.00050670566],"study_design_scores_gemma":[0.004364964,0.00007785936,0.001820486,0.0015249123,0.00005804081,7.9821825e-7,0.0006416284,0.9874374,0.0009870584,0.00223441,0.00037287237,0.00047953654],"about_ca_topic_score_codex":0.001068543,"about_ca_topic_score_gemma":0.0050153,"teacher_disagreement_score":0.5072199,"about_ca_system_score_codex":0.0010384228,"about_ca_system_score_gemma":0.0003818077,"threshold_uncertainty_score":0.9997248},"labels":[],"label_agreement":null},{"id":"W7128028059","doi":"10.1109/commantel68363.2025.11368491","title":"A Hybrid Deep Learning Approach for DDoS Attacks Detection in EV Charging Stations","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Brock University; Toronto Metropolitan University","funders":"","keywords":"Deep learning; Denial-of-service attack; Benchmark (surveying); Intrusion detection system; Software deployment; Convolutional neural network; Artificial neural network; Multilayer perceptron","score_opus":0.009256623794099148,"score_gpt":0.242904478867878,"score_spread":0.23364785507377886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128028059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118252665,0.00096130115,0.8697755,0.00007853069,0.0008451143,0.0008657889,0.0000050583762,0.00019085318,0.009025217],"genre_scores_gemma":[0.99248725,0.0003050831,0.0053277,0.000045314624,0.00013910416,0.000279162,0.000022716764,0.000030551793,0.0013631047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982151,0.000075732074,0.0004960484,0.0004662958,0.00015496206,0.00059186714],"domain_scores_gemma":[0.9992924,0.00027883204,0.00007238819,0.0002023851,0.00007604845,0.000077995275],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043586455,0.00026394316,0.00029668037,0.000545268,0.00042343777,0.00012743262,0.00018888839,0.00014805225,0.000058060712],"category_scores_gemma":[0.0003184811,0.00029997126,0.00013363821,0.0006981391,0.00005230373,0.0002951057,0.00004205497,0.0006528057,0.000015039359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000454352,0.00011012802,0.0011867394,0.0008649,0.00006879601,0.0000027857557,0.0021071446,0.93898374,0.0038375384,0.0019492037,0.00005640982,0.050787207],"study_design_scores_gemma":[0.0008285974,0.00005409616,0.0019211697,0.00012515615,0.000038430626,0.0000050934436,0.0015222871,0.97329545,0.019252082,0.000290674,0.002366768,0.00030022385],"about_ca_topic_score_codex":0.00011592784,"about_ca_topic_score_gemma":0.0002414695,"teacher_disagreement_score":0.8742346,"about_ca_system_score_codex":0.00024597908,"about_ca_system_score_gemma":0.000059047197,"threshold_uncertainty_score":0.9999452},"labels":[],"label_agreement":null},{"id":"W7128800414","doi":"10.1093/jigpal/jzaf017","title":"Comparing deep neural networks to tree-based machine learning methods for anomaly detection in IIoT","year":2025,"lang":"en","type":"article","venue":"Logic Journal of IGPL","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Anomaly detection; Artificial neural network; Decision tree; Support vector machine; Deep learning; Random forest; Multilayer perceptron","score_opus":0.017900664830546278,"score_gpt":0.2923450111371559,"score_spread":0.27444434630660963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128800414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12306477,0.001572094,0.8732885,0.00010062198,0.00084976724,0.00009445115,1.314449e-7,0.000029864002,0.0009998146],"genre_scores_gemma":[0.97742563,0.00001992814,0.022291815,0.00011369448,0.00012668346,0.0000044524772,5.613742e-7,0.000008078472,0.000009141311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992189,0.00010040871,0.00032677135,0.000083806204,0.00006301164,0.00020710622],"domain_scores_gemma":[0.99949837,0.00027753206,0.00006150036,0.000061515464,0.000044240816,0.00005682199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006353077,0.00010040799,0.00024616177,0.00025668988,0.0000651768,0.000029674327,0.00014964741,0.00006953464,0.0000039662837],"category_scores_gemma":[0.00017524786,0.00008664412,0.00009259073,0.00033665576,0.000013160918,0.00006893923,0.000017919625,0.00044131855,3.6826782e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009202454,0.000013597066,0.0029351485,0.000028510225,0.000013652383,0.000006513777,0.000075059324,0.9289513,0.0028921845,0.00012402653,0.000007420889,0.06486052],"study_design_scores_gemma":[0.00056484377,0.00016036342,0.012588212,0.00005450586,0.000015442043,0.000012325933,0.000047171176,0.98207515,0.0035090416,0.00023421779,0.00065510476,0.00008359489],"about_ca_topic_score_codex":0.000014145847,"about_ca_topic_score_gemma":0.00026475586,"teacher_disagreement_score":0.8543609,"about_ca_system_score_codex":0.00007987107,"about_ca_system_score_gemma":0.000009039793,"threshold_uncertainty_score":0.35332444},"labels":[],"label_agreement":null},{"id":"W7130686923","doi":"10.1109/oncon68412.2025.11384573","title":"Securing Inverter-Based Renewable Energy Resources : A Wind Farm Case Study","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Wind power; Renewable energy; Software deployment; Grid; Electric power system; Power grid; Energy (signal processing)","score_opus":0.008862407987627014,"score_gpt":0.22310871019612455,"score_spread":0.21424630220849752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130686923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9490706,0.0025711863,0.00891318,0.00016104302,0.0020214429,0.0005018997,0.000009214166,0.00041936405,0.036332082],"genre_scores_gemma":[0.9922591,0.00006640932,0.00013492914,0.00045265982,0.00025423543,0.000033384655,0.0000021964918,0.000049124756,0.006747966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683905,0.00021332882,0.0007923092,0.0008556469,0.00040969666,0.0008899666],"domain_scores_gemma":[0.9982768,0.00031290867,0.000075174794,0.00096876477,0.00009309565,0.00027322813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000403868,0.0005974787,0.00059875957,0.00063061225,0.00065653207,0.0003326349,0.0005499197,0.00030864473,0.00039417314],"category_scores_gemma":[0.00006247806,0.0005982803,0.00020579174,0.0014248148,0.00014958791,0.00018256986,0.00029621506,0.00045673302,0.000019714274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015991075,0.0021818674,0.016501939,0.0009326074,0.00077690935,0.015359688,0.01962242,0.9292318,0.0014478035,0.0004528354,0.0043107104,0.009021473],"study_design_scores_gemma":[0.003875377,0.0006324314,0.0005329159,0.0006515099,0.00037267382,0.0004402078,0.046745896,0.8674392,0.016868046,0.00021593268,0.060907345,0.0013184237],"about_ca_topic_score_codex":0.045744386,"about_ca_topic_score_gemma":0.06260257,"teacher_disagreement_score":0.061792597,"about_ca_system_score_codex":0.00020100626,"about_ca_system_score_gemma":0.00019715284,"threshold_uncertainty_score":0.99964684},"labels":[],"label_agreement":null},{"id":"W7133265242","doi":"10.18280/ijsse.151213","title":"An Integrated Smart Defense Architecture for the Nusantara Capital City of Indonesia","year":2025,"lang":"","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smart city; Architecture; Capital (architecture); Capital city","score_opus":0.004659904042674479,"score_gpt":0.22508458438384535,"score_spread":0.22042468034117088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133265242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65387905,0.006719703,0.33182734,0.0012172549,0.005756045,0.00029587367,0.00022248732,0.000026724787,0.00005552667],"genre_scores_gemma":[0.9949738,0.0034854354,0.00092257594,0.000067211025,0.0005060643,0.000004094587,0.00001162688,0.00002253956,0.000006668885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979244,0.00005121426,0.0010582503,0.00021049773,0.00045281867,0.00030282018],"domain_scores_gemma":[0.9978565,0.0008479663,0.00027703168,0.00021241963,0.0006636401,0.00014246491],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007925455,0.0003340765,0.000514945,0.00045141444,0.00012650937,0.00011324857,0.0008477894,0.00023829524,0.000020110103],"category_scores_gemma":[0.00026101328,0.00026583884,0.00032295028,0.00029779196,0.00017253072,0.00036231408,0.000092914575,0.0009823807,2.93005e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035807155,0.00043154732,0.002958345,0.0008072395,0.0031407839,0.00010796993,0.013753375,0.93542325,0.0043752454,0.017724883,0.00015060019,0.017546017],"study_design_scores_gemma":[0.005835111,0.0009635608,0.051229693,0.0036245312,0.0007420578,0.00097400206,0.0031717282,0.8750728,0.008716876,0.0036230048,0.04503681,0.0010098526],"about_ca_topic_score_codex":0.000073186326,"about_ca_topic_score_gemma":0.000067349174,"teacher_disagreement_score":0.34109473,"about_ca_system_score_codex":0.00013407083,"about_ca_system_score_gemma":0.00016093094,"threshold_uncertainty_score":0.9999794},"labels":[],"label_agreement":null},{"id":"W7133326599","doi":"10.65521/ijaece.v13i2.87","title":"Cyber-Physical Systems Security: Challenges and Solutions in IoT Devices","year":2025,"lang":"","type":"article","venue":"International Journal on Advanced Electrical and Computer Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parkwood Institute","funders":"","keywords":"Internet of Things; Key (lock); Bridge (graph theory); Encryption; Anomaly detection; Compromise; State (computer science); Cloud computing","score_opus":0.006862590542621157,"score_gpt":0.2308717275415269,"score_spread":0.22400913699890576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133326599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7783129,0.13487245,0.07328488,0.0028578504,0.009301251,0.0003750607,0.000011738333,0.00018773299,0.00079613057],"genre_scores_gemma":[0.9776566,0.02067125,0.00044255465,0.00010454702,0.0010696425,0.000012312597,0.0000011904526,0.000020429245,0.000021479207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981896,0.000049888182,0.0004828738,0.0003815095,0.0003759664,0.0005201517],"domain_scores_gemma":[0.9991007,0.00041504262,0.0000667012,0.00010594899,0.000111663605,0.00019994537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018772167,0.0003456902,0.0004299013,0.00070156204,0.00010864319,0.00027230562,0.00032851566,0.00014623963,0.0000015892587],"category_scores_gemma":[0.000046982277,0.00034077847,0.000090078676,0.00030067324,0.000042278243,0.00025363098,0.00015533133,0.0011692542,0.0000034658844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007343735,0.00023778653,0.00011993796,0.00017419415,0.00029884028,0.00021933402,0.000752492,0.70599395,0.00030812193,0.08848548,0.000045686982,0.20329073],"study_design_scores_gemma":[0.00096336415,0.00019241721,0.008595953,0.0012786547,0.000021372352,0.00030670027,0.0000372475,0.97612095,0.00008004455,0.0013296595,0.010739133,0.0003345025],"about_ca_topic_score_codex":0.000005296932,"about_ca_topic_score_gemma":0.000006049127,"teacher_disagreement_score":0.270127,"about_ca_system_score_codex":0.00026491904,"about_ca_system_score_gemma":0.00004006177,"threshold_uncertainty_score":0.9999044},"labels":[],"label_agreement":null},{"id":"W7134909997","doi":"10.1109/aiot66900.2025.00120","title":"Using Sentinels and Digital Twins to Secure Agentic AI in IoT Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Internet of Things; Key (lock); Identification (biology); Agency (philosophy); Focus (optics)","score_opus":0.01406348563748332,"score_gpt":0.26212151540007034,"score_spread":0.248058029762587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134909997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720667,0.0026374375,0.01658863,0.00032637987,0.0028289044,0.0005674873,0.00001681464,0.00008639756,0.0048812437],"genre_scores_gemma":[0.9977231,0.000047792273,0.00012985164,0.00022021607,0.00016629948,0.000006586706,0.0000015563959,0.000021752348,0.001682843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826217,0.00003255239,0.00051051273,0.00044272866,0.00019741151,0.0005546324],"domain_scores_gemma":[0.9993919,0.00007792332,0.000025148283,0.0002761057,0.00004526855,0.00018365843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015288586,0.00030009475,0.000390843,0.00043396206,0.00010903127,0.0005897305,0.00018718439,0.00020328398,0.000030152061],"category_scores_gemma":[0.00006901142,0.00030819702,0.00006729899,0.0010109945,0.00005995363,0.00019020955,0.000233543,0.0003373955,0.000038271362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044706234,0.00026468647,0.052217077,0.004584569,0.0002651035,0.00027652003,0.0065427534,0.90692335,0.013239662,0.011203687,0.0023869914,0.0020509046],"study_design_scores_gemma":[0.0006348955,0.00003227411,0.009238582,0.0018583318,0.000052272124,0.000038986218,0.0018342246,0.97652227,0.0009932556,0.000117174255,0.008125829,0.0005518979],"about_ca_topic_score_codex":0.00021821675,"about_ca_topic_score_gemma":0.00008940411,"teacher_disagreement_score":0.06959894,"about_ca_system_score_codex":0.00012770767,"about_ca_system_score_gemma":0.0000714023,"threshold_uncertainty_score":0.999937},"labels":[],"label_agreement":null},{"id":"W7138133676","doi":"10.1109/icca66035.2025.11430939","title":"Secure AI-SDLC for Critical Infrastructure: Operationalizing the NIST AI RMF with Evidence-Driven Controls","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kindercare Pediatrics","funders":"","keywords":"NIST; Operationalization; Key (lock); Control (management); Scram","score_opus":0.009819053572035247,"score_gpt":0.2886116140067829,"score_spread":0.27879256043474765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138133676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007923609,0.008015147,0.8770607,0.09608941,0.0034387899,0.002796919,0.00009620572,0.0002466433,0.0043325387],"genre_scores_gemma":[0.9852658,0.00028557226,0.0039583845,0.008570039,0.000774898,0.00024570368,0.00001129903,0.00003703286,0.00085126155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974946,0.00012414053,0.0005919239,0.00058439263,0.00047229705,0.00073267776],"domain_scores_gemma":[0.99648666,0.0022611397,0.000038185324,0.0005359173,0.0005096253,0.00016845662],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034687994,0.0004627648,0.0004870447,0.000107447355,0.0010983066,0.00079987023,0.0006787568,0.00031322957,0.0004672517],"category_scores_gemma":[0.0008279416,0.00029575697,0.00019525639,0.00050091965,0.0006775611,0.00070771493,0.00014224439,0.0008940729,0.000017763297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033426634,0.00006391657,0.0033458807,0.00097409927,0.00039763952,0.000015413361,0.0016478404,0.23482,0.002195954,0.7195984,0.03528366,0.0013229466],"study_design_scores_gemma":[0.0019398051,0.0004101453,0.0053364136,0.0021953224,0.0004703191,0.00005795739,0.0012057058,0.8837179,0.0032400931,0.010196869,0.09040605,0.0008234113],"about_ca_topic_score_codex":0.00004052074,"about_ca_topic_score_gemma":0.0003023431,"teacher_disagreement_score":0.9773422,"about_ca_system_score_codex":0.00014639774,"about_ca_system_score_gemma":0.00057664944,"threshold_uncertainty_score":0.99994946},"labels":[],"label_agreement":null},{"id":"W7138997775","doi":"10.1109/icaiccit68829.2025.11434064","title":"Ensure the Grid Interfaces and Payment Gateways Against Data Breach Attacks and Malware: Electric Vehicle Charging Station via Cybersecurity","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Authentication (law); Malware; Payment; Grid; Electric vehicle; Smart grid; Software deployment; Encryption","score_opus":0.011729965254584935,"score_gpt":0.2415300512003951,"score_spread":0.22980008594581017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138997775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669992,0.020453148,0.005394722,0.0033216402,0.0012392704,0.0007272196,0.00014234857,0.00015704903,0.0015654032],"genre_scores_gemma":[0.9863183,0.012667066,0.000111929905,0.00044180333,0.00017818395,0.000015266278,0.00008868082,0.000024297,0.00015448127],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763316,0.00016162478,0.0005084169,0.00078282726,0.00030628976,0.00060766604],"domain_scores_gemma":[0.9984345,0.00045777674,0.00008909959,0.00081117975,0.00006955789,0.00013788237],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008055551,0.00040922553,0.00035117753,0.00017135033,0.00061286864,0.00037813422,0.00059717055,0.00019927736,0.000049552193],"category_scores_gemma":[0.000100449484,0.00031570386,0.00003623305,0.00062452134,0.00019751902,0.00061159,0.0007163633,0.0007093257,0.000012702573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006369987,0.0010947125,0.10407631,0.0070672533,0.0027487571,0.0001494506,0.06102927,0.015021341,0.17250654,0.008260477,0.06869317,0.5587157],"study_design_scores_gemma":[0.0011455211,0.00011385305,0.056576673,0.0004131866,0.00021040207,0.000023484648,0.0030331707,0.90730053,0.018317368,0.0003650782,0.011796641,0.0007040962],"about_ca_topic_score_codex":0.000389486,"about_ca_topic_score_gemma":0.00040652364,"teacher_disagreement_score":0.8922792,"about_ca_system_score_codex":0.00009792037,"about_ca_system_score_gemma":0.00006656889,"threshold_uncertainty_score":0.9999295},"labels":[],"label_agreement":null},{"id":"W7139088121","doi":"10.1109/globecom59602.2025.11432209","title":"A Dual-Layer Trust Model based on Digital Twins for Underwater Acoustic Sensor Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Resilience (materials science); Weighting; Reinforcement learning; Software deployment; Scheme (mathematics); Wireless sensor network; Benchmark (surveying)","score_opus":0.012984059713564852,"score_gpt":0.23285776929059546,"score_spread":0.21987370957703062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139088121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015618514,0.00012857284,0.9623896,0.00076031114,0.001778797,0.0009207688,0.0000900152,0.00041819102,0.017895212],"genre_scores_gemma":[0.98458195,0.00003973289,0.0022196015,0.0013585023,0.0003964285,0.0000744145,0.00002117662,0.00009156191,0.011216651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975359,0.000022168111,0.0005429504,0.00065864035,0.0002686781,0.0009716512],"domain_scores_gemma":[0.9985142,0.0005646169,0.000040514427,0.000574871,0.00009713731,0.00020868496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015613262,0.00054519856,0.0004673014,0.00025825988,0.00028782597,0.00041097027,0.00025382047,0.00047192766,0.00012195414],"category_scores_gemma":[0.000087600994,0.00048337947,0.00034804083,0.00040454135,0.00012121532,0.0002718256,0.00008194694,0.0004832614,0.00007629841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020192546,0.00021757314,0.00009645486,0.00033031258,0.00010663782,0.000013111079,0.00014447405,0.98790735,0.00049581256,0.0010627549,0.008620391,0.00080317754],"study_design_scores_gemma":[0.0015037551,0.00015261392,0.000076634075,0.00026892908,0.0001351266,0.0000025111299,0.00016431724,0.99362385,0.0010711999,0.00040727403,0.002024441,0.0005693486],"about_ca_topic_score_codex":0.0000074054046,"about_ca_topic_score_gemma":0.000023047198,"teacher_disagreement_score":0.96896344,"about_ca_system_score_codex":0.00018835592,"about_ca_system_score_gemma":0.000154946,"threshold_uncertainty_score":0.99976176},"labels":[],"label_agreement":null},{"id":"W7143530957","doi":"10.1109/decon67170.2025.11447740","title":"Quantum Communication Protocols to Improve the Security and Reliability of Next-Generation Smart Energy Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reliability (semiconductor); Energy (signal processing); Communications protocol; Energy consumption; Efficient energy use; Key (lock)","score_opus":0.018353950794335494,"score_gpt":0.2598609142669768,"score_spread":0.24150696347264128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143530957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84979534,0.008402163,0.0618285,0.006452926,0.004075664,0.05670583,0.00009816872,0.00032612463,0.012315307],"genre_scores_gemma":[0.9930117,0.0005060266,0.00016741802,0.00011934601,0.00010604434,0.005809777,0.00000794938,0.000013611835,0.00025809393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977424,0.00044385844,0.0008443509,0.0004054577,0.00026982266,0.00029411516],"domain_scores_gemma":[0.9976862,0.0003633575,0.0001266907,0.0014202651,0.0003017578,0.00010171193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012734337,0.0002632586,0.00041022315,0.00010615048,0.00035406853,0.00023497774,0.0005367453,0.0002486151,0.000016686283],"category_scores_gemma":[0.00028188265,0.00019802006,0.00008157904,0.00055458077,0.00023982285,0.00031533165,0.00032570472,0.00031281137,0.0000033171302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042309114,0.0011498302,0.0068762642,0.009222657,0.00032420005,0.0000016873464,0.016267303,0.1275903,0.15042639,0.65912396,0.018602941,0.00999136],"study_design_scores_gemma":[0.00038089132,0.0001822984,0.0013301141,0.00050484744,0.000046223093,0.0000018387141,0.0012263968,0.94010097,0.030110663,0.0016416855,0.024202393,0.0002716941],"about_ca_topic_score_codex":0.0029664573,"about_ca_topic_score_gemma":0.00060345366,"teacher_disagreement_score":0.81251067,"about_ca_system_score_codex":0.00011189047,"about_ca_system_score_gemma":0.00011893898,"threshold_uncertainty_score":0.8075024},"labels":[],"label_agreement":null},{"id":"W7152661656","doi":"10.1109/icecet63943.2025.11472359","title":"Mitigation of Critical Resonance Cyberattacks in Renewable Energy Integrated Power Grids","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power (physics); Energy (signal processing); Renewable energy; Power grid; Resonance (particle physics)","score_opus":0.004203721978045379,"score_gpt":0.23695789600991218,"score_spread":0.2327541740318668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7152661656","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37247828,0.04006783,0.14152023,0.0040439013,0.010470015,0.0005928368,0.00010280512,0.0003819574,0.43034214],"genre_scores_gemma":[0.9932399,0.00063678384,0.0009693362,0.0002274785,0.000049729246,0.000017478613,0.000010030513,0.000017525155,0.0048317504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979067,0.000117450094,0.0008117268,0.00041672093,0.00024809886,0.00049933395],"domain_scores_gemma":[0.99889195,0.00037901627,0.000034087872,0.00039091017,0.00021031853,0.00009373567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027691651,0.00028009206,0.00043936496,0.00037801728,0.00007240278,0.000049957256,0.00029487067,0.00039720428,0.0006632262],"category_scores_gemma":[0.00047696073,0.0002828429,0.000103001585,0.0016173088,0.00035263313,0.00028656406,0.00008333662,0.00037149058,0.000008382734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052621466,0.0021757775,0.021940436,0.002353297,0.00018795732,0.00018818617,0.004678748,0.20546266,0.07367689,0.5855766,0.09244893,0.010784286],"study_design_scores_gemma":[0.0017398736,0.00026065865,0.016411562,0.0037251208,0.00005927139,0.000009778795,0.001950736,0.37532386,0.5064224,0.010895845,0.08223683,0.00096407667],"about_ca_topic_score_codex":0.0033805035,"about_ca_topic_score_gemma":0.004009811,"teacher_disagreement_score":0.6207616,"about_ca_system_score_codex":0.00016117792,"about_ca_system_score_gemma":0.00023186537,"threshold_uncertainty_score":0.9999624},"labels":[],"label_agreement":null},{"id":"W7154469983","doi":"10.1109/spert67079.2025.11469703","title":"ResilientEdge: an AI-Powered Edge Analytics Framework for Enhancing Cyber Security in Decentralized Power Systems Using Big Data Technologies","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Big data; Analytics; Enhanced Data Rates for GSM Evolution; Power (physics); Key (lock); Electric power system; Data security","score_opus":0.04107544374116833,"score_gpt":0.321263985137814,"score_spread":0.2801885413966457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7154469983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1789361,0.02307379,0.77895886,0.00056967564,0.013797663,0.0025721285,0.00039246833,0.000995613,0.000703681],"genre_scores_gemma":[0.98825514,0.002001044,0.009149756,0.00011201679,0.0001702713,0.000044591496,0.00009299554,0.00008569473,0.00008845743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940031,0.0002128255,0.001799425,0.0017095,0.0004998277,0.0017752959],"domain_scores_gemma":[0.9948457,0.0008500234,0.00022576819,0.0035551637,0.0003100908,0.00021329241],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0014439342,0.00085533893,0.0013023919,0.0011630617,0.00043849426,0.0006105471,0.002518288,0.0016541358,0.00004207717],"category_scores_gemma":[0.0025381753,0.0008775844,0.00019916912,0.003212958,0.0004055506,0.0009945249,0.0011955583,0.0016637965,0.000011190174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024017636,0.005214077,0.05009685,0.018360112,0.0034048592,0.0004449154,0.016254725,0.3753595,0.025260631,0.47990346,0.01166213,0.011636966],"study_design_scores_gemma":[0.0017864618,0.00012633421,0.00044724537,0.0044108354,0.0003056558,0.000015665542,0.015382202,0.94269717,0.009708919,0.009674469,0.014108158,0.0013369137],"about_ca_topic_score_codex":0.0004974759,"about_ca_topic_score_gemma":0.0032471574,"teacher_disagreement_score":0.8093191,"about_ca_system_score_codex":0.00065915845,"about_ca_system_score_gemma":0.000530986,"threshold_uncertainty_score":0.99964195},"labels":[],"label_agreement":null},{"id":"W7160610226","doi":"10.5281/zenodo.20082924","title":"D3.2 – Use Cases Definition and Evaluation Plan","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Deliverable; Plan (archaeology); Set (abstract data type); Scalability; Key (lock); Documentation","score_opus":0.07503087249898702,"score_gpt":0.2606222989449579,"score_spread":0.1855914264459709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160610226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84364957,0.0036432168,0.0054700756,0.001218801,0.0013799386,0.0019841155,0.0008447018,0.0016392607,0.14017029],"genre_scores_gemma":[0.99598783,0.0015230116,0.00015590161,0.000104461986,0.00013854683,8.4430596e-8,0.0011502143,0.00064804615,0.00029191628],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771637,0.0005221217,0.00035729844,0.00050897466,0.00046936196,0.0004258652],"domain_scores_gemma":[0.9985281,0.0001762116,0.00007229949,0.0004295345,0.0006193925,0.00017442151],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000990543,0.00022792321,0.00019578288,0.0004412505,0.0026824712,0.0016491361,0.00046513116,0.0001582405,0.004603718],"category_scores_gemma":[0.002252871,0.0002674901,0.000050114624,0.0007886387,0.00025848683,0.0006185405,0.00071329856,0.0004069567,0.0016240292],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000505951,0.00064421265,0.00018028847,0.0019176917,0.00052234624,0.00014949268,0.008961204,0.008977284,0.012589513,0.07357339,0.35858494,0.5333937],"study_design_scores_gemma":[0.0012664734,0.00028568046,0.008268807,0.0004143195,0.00017266987,0.0003148189,0.0009521721,0.041875087,0.0010101125,0.00089328847,0.944098,0.00044855903],"about_ca_topic_score_codex":0.000042392796,"about_ca_topic_score_gemma":0.0000023316948,"teacher_disagreement_score":0.58551306,"about_ca_system_score_codex":0.0002494319,"about_ca_system_score_gemma":0.000010178937,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W7160655770","doi":"10.5281/zenodo.20082925","title":"D3.2 – Use Cases Definition and Evaluation Plan","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Deliverable; Plan (archaeology); Set (abstract data type); Scalability; Key (lock); Documentation","score_opus":0.07503087249898702,"score_gpt":0.2606222989449579,"score_spread":0.1855914264459709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160655770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84364957,0.0036432168,0.0054700756,0.001218801,0.0013799386,0.0019841155,0.0008447018,0.0016392607,0.14017029],"genre_scores_gemma":[0.99598783,0.0015230116,0.00015590161,0.000104461986,0.00013854683,8.4430596e-8,0.0011502143,0.00064804615,0.00029191628],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771637,0.0005221217,0.00035729844,0.00050897466,0.00046936196,0.0004258652],"domain_scores_gemma":[0.9985281,0.0001762116,0.00007229949,0.0004295345,0.0006193925,0.00017442151],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000990543,0.00022792321,0.00019578288,0.0004412505,0.0026824712,0.0016491361,0.00046513116,0.0001582405,0.004603718],"category_scores_gemma":[0.002252871,0.0002674901,0.000050114624,0.0007886387,0.00025848683,0.0006185405,0.00071329856,0.0004069567,0.0016240292],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000505951,0.00064421265,0.00018028847,0.0019176917,0.00052234624,0.00014949268,0.008961204,0.008977284,0.012589513,0.07357339,0.35858494,0.5333937],"study_design_scores_gemma":[0.0012664734,0.00028568046,0.008268807,0.0004143195,0.00017266987,0.0003148189,0.0009521721,0.041875087,0.0010101125,0.00089328847,0.944098,0.00044855903],"about_ca_topic_score_codex":0.000042392796,"about_ca_topic_score_gemma":0.0000023316948,"teacher_disagreement_score":0.58551306,"about_ca_system_score_codex":0.0002494319,"about_ca_system_score_gemma":0.000010178937,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W7161766113","doi":"10.1109/pesgre65581.2025.11521147","title":"A Study of Cybersecurity and Resilience of Dual Active Bridge Converters in Electric Vehicle Fast Charging Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Resilience (materials science); Converters; Electric vehicle; Bridge (graph theory); Dual (grammatical number)","score_opus":0.008097793161476467,"score_gpt":0.23326864497450073,"score_spread":0.22517085181302426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161766113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99423206,0.0020141045,0.00031685526,0.00002734323,0.00061567716,0.0011248002,0.000014933186,0.000035017118,0.0016192237],"genre_scores_gemma":[0.9994065,0.00045028745,0.000005526149,0.000009975623,0.000023819242,0.00002399,6.749776e-7,0.00001343418,0.000065798245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975084,0.00021491271,0.00088851614,0.0005224112,0.00037094956,0.0004948264],"domain_scores_gemma":[0.99889433,0.00036125988,0.00016724982,0.00036735283,0.000115602605,0.00009419643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046945128,0.00030400412,0.0007803393,0.0006656555,0.00008684502,0.000034747245,0.0002721053,0.00016918754,0.00001008938],"category_scores_gemma":[0.000106283456,0.00031760402,0.000061802064,0.0018029606,0.00018750569,0.0003065931,0.00016938032,0.0004728903,0.0000018105831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014071346,0.0061054802,0.53170097,0.008532862,0.0012551663,0.00028176236,0.23083258,0.053711154,0.1416336,0.012385962,0.0002654395,0.011887883],"study_design_scores_gemma":[0.0031883416,0.00068370334,0.5784635,0.0010030394,0.00010342992,0.000012890435,0.051122054,0.33888844,0.0260883,0.00002670433,0.000011999614,0.00040760866],"about_ca_topic_score_codex":0.004883765,"about_ca_topic_score_gemma":0.00081427104,"teacher_disagreement_score":0.2851773,"about_ca_system_score_codex":0.00014028877,"about_ca_system_score_gemma":0.00012888708,"threshold_uncertainty_score":0.9999276},"labels":[],"label_agreement":null},{"id":"W7163698614","doi":"10.13182/t130-36850","title":"Development of an NPP Safety State Estimation Method Secured from Process Data Manipulation Attacks","year":2021,"lang":"","type":"article","venue":"Transactions of the American Nuclear Society","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Process (computing); State (computer science); Development (topology); Data processing; Estimation; Process control; Data modeling","score_opus":0.02404484700171223,"score_gpt":0.29966661846180687,"score_spread":0.27562177146009464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7163698614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5084951,0.00009447716,0.4902116,0.00016104212,0.00027519415,0.00019264127,0.0004765011,0.000055562497,0.00003789572],"genre_scores_gemma":[0.6855297,0.00024004023,0.31401235,0.00003660563,0.00002271479,0.000002525038,0.00009800926,0.000042755688,0.00001530144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769986,0.00021098398,0.00079330517,0.00049940386,0.00051882846,0.00027762284],"domain_scores_gemma":[0.99783945,0.00013113696,0.00047414665,0.0012627782,0.00019090198,0.00010157662],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040954433,0.0002614875,0.00050464086,0.000031589538,0.0004396049,0.000039036266,0.00086156826,0.00010154439,0.00021262337],"category_scores_gemma":[0.000026022133,0.00025414035,0.00024737342,0.00095382973,0.00036560057,0.0005775868,0.00007359554,0.0004459429,0.0000057741227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120452634,0.00042861258,0.00006338573,0.00045648174,0.0008205319,8.4974346e-7,0.06631474,0.7852268,0.028051177,0.000018154906,0.00006324197,0.118435524],"study_design_scores_gemma":[0.00039668567,0.00004117273,0.014772008,0.0001808012,0.0002913939,0.000005820663,0.013720261,0.9454393,0.02372769,0.000088865934,0.0010329694,0.000303038],"about_ca_topic_score_codex":0.00038997605,"about_ca_topic_score_gemma":0.00028150098,"teacher_disagreement_score":0.17703462,"about_ca_system_score_codex":0.00013905198,"about_ca_system_score_gemma":0.0003278551,"threshold_uncertainty_score":0.99999106},"labels":[],"label_agreement":null},{"id":"W84386167","doi":"","title":"Segment Wise Communication Delay Measurement for Managing Renewable Energy Sources in Smart Grid","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Smart grid; Renewable energy; Computer science; Grid; Telecommunications; Energy (signal processing); Engineering; Electrical engineering; Mathematics","score_opus":0.015359777406427376,"score_gpt":0.18549330019028715,"score_spread":0.17013352278385976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W84386167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98221105,0.0011151549,0.011422215,0.0004282655,0.00032093728,0.00027717484,0.00001667617,0.00015505421,0.0040534902],"genre_scores_gemma":[0.99746996,0.00021515679,0.0018285306,0.00005411329,0.00005146701,0.0000029314544,0.00003026184,0.00002385572,0.00032369472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860024,0.00014340166,0.00020826743,0.00027491723,0.0004040946,0.00036906014],"domain_scores_gemma":[0.9990672,0.000100523546,0.00008877934,0.0005044124,0.0001143294,0.0001247539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011541285,0.00018715138,0.00027370383,0.00027483777,0.00034033967,0.000028450879,0.0006183593,0.00015590155,0.0000464584],"category_scores_gemma":[0.000050548333,0.0002387408,0.00012320039,0.00029428216,0.000109892506,0.00045314347,0.00016493034,0.00021550711,0.0000124036615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011806546,0.00076621637,0.23688297,0.0017073192,0.00062876544,0.000037395275,0.018062199,0.6374756,0.07133394,0.0039220043,0.01103328,0.01696967],"study_design_scores_gemma":[0.014076612,0.00075653987,0.3281001,0.0024618946,0.00046513334,0.00004204173,0.009397576,0.18974254,0.09053564,0.011599634,0.34943107,0.0033912412],"about_ca_topic_score_codex":0.00067508174,"about_ca_topic_score_gemma":0.008930663,"teacher_disagreement_score":0.44773304,"about_ca_system_score_codex":0.0002766515,"about_ca_system_score_gemma":0.000026803662,"threshold_uncertainty_score":0.97355676},"labels":[],"label_agreement":null},{"id":"W849235772","doi":"10.22215/timreview/903","title":"A Value Blueprint Approach to Cybersecurity in Networked Medical Devices","year":2015,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Homeland security; Blueprint; Hacker; Computer security; State (computer science); Value (mathematics); Medical emergency; Homeland; Internet privacy; Computer science; Political science; Engineering; Medicine; Terrorism; Law; Politics","score_opus":0.022017040770075644,"score_gpt":0.27223888951887093,"score_spread":0.2502218487487953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W849235772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34796935,0.13509865,0.16810937,0.040912643,0.0024722575,0.009082297,0.0000043850305,0.006408451,0.2899426],"genre_scores_gemma":[0.950356,0.024866566,0.016576326,0.0071170316,0.000116900825,0.00079793774,0.000038218135,0.000039545623,0.00009145701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986447,0.00003080837,0.00049355155,0.00025077994,0.0003207251,0.00025943253],"domain_scores_gemma":[0.999454,0.00000902009,0.000045847464,0.00036682765,0.00006833668,0.000055967477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012261006,0.00014626468,0.00027392246,0.0006201648,0.00002311164,0.000010838491,0.00048257766,0.00015566658,0.000022172533],"category_scores_gemma":[0.00013861129,0.00013651921,0.000019978144,0.004959983,0.00005697421,0.00008072799,0.00021021791,0.0003192963,0.00013046806],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003817932,0.0001392403,0.0022290708,0.0034619956,0.00006238816,0.00003802538,0.00012908697,0.0070725917,0.00000504932,0.8573768,0.028112646,0.1013693],"study_design_scores_gemma":[0.00088481,0.000053423497,0.0025308842,0.005213361,0.00005428262,0.00003904905,0.00042372037,0.029975038,0.000069543305,0.011976944,0.94808584,0.0006930911],"about_ca_topic_score_codex":0.000005964662,"about_ca_topic_score_gemma":0.000014690699,"teacher_disagreement_score":0.9199732,"about_ca_system_score_codex":0.0000943466,"about_ca_system_score_gemma":0.00001700399,"threshold_uncertainty_score":0.55670923},"labels":[],"label_agreement":null},{"id":"W86432547","doi":"10.1007/978-94-007-6818-5_11","title":"Using Multi-Agent Systems for Hardware Upgrade Advice in Smart Grid Simulations","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Upgrade; Grid; Renewable energy; Smart grid; Distributed generation; Reliability (semiconductor); Supply and demand; Systems engineering; Engineering; Computer science; Environmental economics; Electrical engineering; Operating system; Power (physics)","score_opus":0.02059880489122757,"score_gpt":0.23607872293540177,"score_spread":0.2154799180441742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W86432547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030174204,0.022905396,0.9660309,0.000042229873,0.003515164,0.0025060643,0.00013405675,0.0009062101,0.0009425433],"genre_scores_gemma":[0.9717211,0.0009737578,0.022583513,0.00008728428,0.0022393733,0.00027061277,0.00023799078,0.0006285682,0.0012578145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978731,0.000012293716,0.000644336,0.00047304382,0.00025769294,0.0007394859],"domain_scores_gemma":[0.99879,0.0006364944,0.000063757776,0.00031283806,0.00005995967,0.00013691871],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000104975414,0.00059750536,0.00068887166,0.00073220395,0.000054936027,0.000069316,0.0002820331,0.0008168744,0.000025915853],"category_scores_gemma":[0.00027645845,0.00062904233,0.00017144906,0.00031965287,0.000020864187,0.00011885629,0.000037041944,0.0013099518,0.000015054224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049930177,0.000015543126,0.00004702451,0.0004178786,0.000042559033,0.000018383333,0.00010585528,0.99713886,0.0009512564,0.0006003935,0.000042637424,0.00061463885],"study_design_scores_gemma":[0.00044811465,0.000029873714,0.00007432036,0.00054330216,0.000034219458,0.000018097153,7.698491e-7,0.9814124,0.00029340983,0.00015938467,0.016309584,0.0006765364],"about_ca_topic_score_codex":0.00009965198,"about_ca_topic_score_gemma":0.00011505875,"teacher_disagreement_score":0.9687037,"about_ca_system_score_codex":0.0006927701,"about_ca_system_score_gemma":0.00004814922,"threshold_uncertainty_score":0.9996161},"labels":[],"label_agreement":null},{"id":"W87914784","doi":"","title":"SmartGrid: analytics for the electric grid of the future","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blackout; Cascading failure; Robustness (evolution); Grid; Smart grid; Electric power system; Electric power industry; Criticality; Computer science; Electric power; Reliability engineering; Telecommunications; Electricity; Computer security; Engineering; Electrical engineering; Power (physics); Geography","score_opus":0.0067878896051859865,"score_gpt":0.198093945717402,"score_spread":0.19130605611221602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W87914784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8893019,0.028250633,0.03339333,0.003994417,0.024429737,0.001618941,0.000044684788,0.0003951307,0.01857121],"genre_scores_gemma":[0.9979492,0.00023617185,0.000104494204,0.00008985824,0.0014067683,0.0000086193595,5.7494066e-7,0.0000075995595,0.00019671132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995894,0.0000069860885,0.0000892075,0.000037489313,0.00009036389,0.00018658912],"domain_scores_gemma":[0.99963075,0.0001152594,0.00001402024,0.00019544449,0.000018949997,0.000025560574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012360813,0.00005907705,0.00006352564,0.000017314194,0.00007100545,0.0000062937784,0.00020275622,0.000042280186,0.000027077887],"category_scores_gemma":[0.000015973736,0.000026512456,0.00007452344,0.00023145616,0.00002114577,0.000047864563,0.000016807368,0.00009568685,0.0000051900515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049906677,0.00026238454,0.07531205,0.00060507574,0.0006235482,4.5726705e-7,0.004328362,0.076958805,0.02367604,0.097805455,0.69184995,0.028527964],"study_design_scores_gemma":[0.00029447116,0.00003559116,0.12416376,0.000012358112,0.0001221745,0.000011480034,0.00059590075,0.11839684,0.07808198,0.0002561382,0.677785,0.00024431563],"about_ca_topic_score_codex":0.000003659281,"about_ca_topic_score_gemma":0.000022239778,"teacher_disagreement_score":0.10864729,"about_ca_system_score_codex":0.000010279575,"about_ca_system_score_gemma":0.000007592899,"threshold_uncertainty_score":0.10811466},"labels":[],"label_agreement":null},{"id":"W97579752","doi":"","title":"Privacy and security of smart grid communication","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"IBM (Canada); Ontario Tech University","funders":"","keywords":"Smart grid; Computer science; Computer security; Software deployment; Grid; Control (management); Engineering; Electrical engineering","score_opus":0.108022506315283,"score_gpt":0.35620410033178657,"score_spread":0.24818159401650358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97579752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98792636,0.0058652386,0.00006632861,0.0006776926,0.00043639113,0.0014041185,0.00019892005,0.000032742835,0.0033921753],"genre_scores_gemma":[0.9947157,0.0045835087,0.0005485528,0.0000037981845,0.0000127080375,0.000050092807,0.0000016414319,0.000008662242,0.00007532126],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896896,0.00017564335,0.00023074046,0.00015041312,0.00025135564,0.00022290445],"domain_scores_gemma":[0.9972945,0.0005684625,0.00007576168,0.00040039656,0.0016189325,0.000041988893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047142728,0.00010969326,0.00025161103,0.000069162445,0.00021464234,0.000008210872,0.00040364635,0.000043768225,0.0000067367496],"category_scores_gemma":[0.00096243067,0.00007747531,0.00003517299,0.00047547458,0.000830395,0.00011164091,0.00023393356,0.00021251167,9.925544e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036248686,0.0012676144,0.013332411,0.0060128965,0.0016720985,0.0000036237823,0.5038738,0.0035514408,0.049127836,0.37909177,0.021287158,0.017154466],"study_design_scores_gemma":[0.0017430708,0.0008336678,0.0040784976,0.001351218,0.000033224536,7.329634e-7,0.0677812,0.0036191815,0.8682863,0.037979234,0.013941206,0.00035243508],"about_ca_topic_score_codex":0.0000047823014,"about_ca_topic_score_gemma":0.00017841446,"teacher_disagreement_score":0.8191585,"about_ca_system_score_codex":0.0000482185,"about_ca_system_score_gemma":0.000067798945,"threshold_uncertainty_score":0.31593516},"labels":[],"label_agreement":null}]}