{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":66,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":66,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"1c67bf5f60a8","filters":{"venue":"Journal of Network and Systems Management"}},"results":[{"id":"W3210231570","doi":"10.1007/s10922-021-09634-4","title":"Effective and Efficient Hybrid Android Malware Classification Using Pseudo-Label Stacked Auto-Encoder","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":201,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor; University of New Brunswick","funders":"","keywords":"Computer science; Malware; Android (operating system); Machine learning; Android malware; Artificial intelligence; Encoder; Static analysis; Mobile device; Computer security; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02156520709240784,"gpt":0.2674306129995809,"spread":0.245865405907173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008015769,0.0001482857,0.0002963415,0.0001402953,0.0001912679,0.0002634681,0.0001808115,0.00003906425,0.000001058708],"category_scores_gemma":[0.00001818993,0.0001306949,0.00004516907,0.0003172944,0.00003242084,0.0002920677,0.000234134,0.0001614509,7.017333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328247,"about_ca_system_score_gemma":0.00002369468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002527287,"about_ca_topic_score_gemma":5.494477e-7,"domain_scores_codex":[0.9984594,0.0002157788,0.0004744819,0.0002907845,0.0003397254,0.0002198366],"domain_scores_gemma":[0.9987868,0.00008326096,0.0004861199,0.0002672429,0.0002725126,0.0001040317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002682336,0.000733615,0.003301321,0.00220359,0.001312352,0.003770332,0.001555487,0.3350518,0.009458649,0.08132558,0.009116657,0.5519024],"study_design_scores_gemma":[0.0008164403,0.0002230697,0.003667024,0.000545661,0.00006513319,0.001341423,0.0003254727,0.9870741,0.000338378,0.001366319,0.004012215,0.0002247532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08556437,0.002403152,0.9105606,0.0001249284,0.0007374575,0.0003407527,8.87189e-7,0.00005673036,0.0002111228],"genre_scores_gemma":[0.9335505,0.0004531342,0.06553744,0.00007448231,0.0002108702,0.00001458492,5.848437e-7,0.0000121504,0.0001462206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8479862,"threshold_uncertainty_score":0.5329583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135091917","doi":"10.1007/s10922-021-09589-6","title":"AS-IDS: Anomaly and Signature Based IDS for the Internet of Things","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":181,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Network packet; Intrusion detection system; Data mining; Cluster analysis; Computer network; Preprocessor; Anomaly detection; Signature (topology); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01052702281262555,"gpt":0.2193439191049446,"spread":0.208816896292319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065051,0.00008693216,0.0002092485,0.00005393499,0.00010482,0.0001972636,0.000260703,0.00004990128,0.000003898642],"category_scores_gemma":[0.00001328668,0.00005698761,0.00007789574,0.000217415,0.0000256676,0.0002308564,0.0001503441,0.0001397456,2.83174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001480883,"about_ca_system_score_gemma":0.00001756481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001041951,"about_ca_topic_score_gemma":0.000003002699,"domain_scores_codex":[0.999021,0.0001021134,0.00037739,0.0001362188,0.0002305482,0.000132735],"domain_scores_gemma":[0.999073,0.0001949977,0.000354045,0.0001723359,0.0001561397,0.00004953498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000563803,0.0002887355,0.001714096,0.002171694,0.00173807,0.0004087918,0.004001217,0.04935952,0.0003876401,0.4292193,0.1731591,0.336988],"study_design_scores_gemma":[0.001049466,0.0006734766,0.001385427,0.0008743361,0.0001211399,0.0002232562,0.0004622558,0.7828838,0.00013758,0.003833533,0.2081985,0.0001572573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02493303,0.02642554,0.9426922,0.001851971,0.002623576,0.0003712329,5.068222e-7,0.00001486074,0.001087114],"genre_scores_gemma":[0.9927903,0.0009089951,0.004611969,0.0006301262,0.0004029024,0.000005826815,3.526545e-7,0.000005224064,0.0006443455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9678572,"threshold_uncertainty_score":0.2323887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989003109","doi":"10.1007/s10922-007-9083-8","title":"Policy-based Management: A Historical Perspective","year":2007,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Access Control and Trust","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Rotation formalisms in three dimensions; Computer science; Perspective (graphical); Focus (optics); Management science; Data science; Software engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01821747554157112,"gpt":0.2987556917135049,"spread":0.2805382161719338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002607272,0.0001030799,0.0002529907,0.000263736,0.0003622205,0.0001254623,0.0002286733,0.00005258746,0.00001113516],"category_scores_gemma":[0.0000190311,0.00008471128,0.000102335,0.000419242,0.00005765267,0.00013947,0.00004434908,0.0001210392,0.000004037674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515376,"about_ca_system_score_gemma":0.00003675793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007949006,"about_ca_topic_score_gemma":0.0001299098,"domain_scores_codex":[0.9983706,0.0001313485,0.0004281618,0.0001288647,0.0005663043,0.0003747206],"domain_scores_gemma":[0.9991068,0.00008322053,0.0003646787,0.0001000745,0.000153834,0.0001914206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000164791,0.00009421809,0.003360557,0.00007573966,0.0003370435,0.0005681119,0.001350267,0.00158385,2.656184e-7,0.9522541,0.01676888,0.02344222],"study_design_scores_gemma":[0.001697682,0.0001524875,0.01137467,0.0002803951,0.0002113079,0.00001316349,0.01778892,0.0003562639,1.218773e-7,0.009129179,0.9587699,0.0002259342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004583851,0.01295182,0.08577238,0.009675612,0.004164605,0.000949752,0.000001119276,0.00006412205,0.8818368],"genre_scores_gemma":[0.9887339,0.000677708,0.0006092403,0.0002798673,0.002987793,0.000003862228,1.89969e-7,0.000008776241,0.006698624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841501,"threshold_uncertainty_score":0.3454426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010676865","doi":"10.1023/a:1019810526535","title":"DORA: Efficient Routing for MPLS Traffic Engineering","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Multiprotocol Label Switching; Bandwidth (computing); Routing (electronic design automation); Distributed computing; Path (computing); Computation; Quality of service; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01313260753362974,"gpt":0.1960834935559997,"spread":0.18295088602237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003401522,0.0001503978,0.0002995132,0.00009590167,0.00005924589,0.00005998866,0.0001377812,0.00006049499,0.000001989075],"category_scores_gemma":[0.00001567685,0.0001286216,0.0000757521,0.0001785848,0.00001467849,0.00005942788,0.00003677549,0.0001555463,0.000002070565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006816175,"about_ca_system_score_gemma":6.43769e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.18999e-8,"about_ca_topic_score_gemma":1.032624e-7,"domain_scores_codex":[0.998904,0.00000830132,0.0004854977,0.00009906037,0.000156368,0.0003467668],"domain_scores_gemma":[0.9995654,0.0001053109,0.0001080192,0.0001189706,0.00003586669,0.00006649178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003883288,0.00001014697,0.00001431807,0.0002034931,0.00009954893,0.00002410775,0.00003448477,0.9774669,0.000008134166,0.004290244,0.003741191,0.0141035],"study_design_scores_gemma":[0.0003664117,0.00006770124,0.00006870449,0.0003221,0.00004484456,0.00003996874,0.0001562428,0.9740527,0.000001363769,0.00003506063,0.02470863,0.0001363062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1963888,0.02761325,0.7691998,0.0001491361,0.003466013,0.0009031495,0.000001990218,0.0005110583,0.001766781],"genre_scores_gemma":[0.9786377,0.0008419118,0.01990678,0.000009315726,0.0004736895,0.00001671507,2.565438e-7,0.00002934391,0.0000843161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7822489,"threshold_uncertainty_score":0.5245038,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2758823692","doi":"10.1007/s10922-017-9432-1","title":"Early Detection of DDoS Attacks Against Software Defined Network Controllers","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Denial-of-service attack; Computer science; Software-defined networking; Application layer DDoS attack; Controller (irrigation); Network management; Computer network; Single point of failure; Network packet; The Internet; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01481197575071573,"gpt":0.2266579767172961,"spread":0.2118460009665804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001504709,0.0001690376,0.0004731496,0.0001115428,0.0006278151,0.0004605823,0.000705686,0.00009576784,0.000001691351],"category_scores_gemma":[0.00003811609,0.0001417419,0.0001628529,0.0001670578,0.00005875484,0.0005946008,0.0002876671,0.0002224295,0.000003052746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004714567,"about_ca_system_score_gemma":0.00001535194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002528088,"about_ca_topic_score_gemma":0.00001560552,"domain_scores_codex":[0.9980853,0.0001671145,0.0007749108,0.0002113885,0.0004367323,0.0003245599],"domain_scores_gemma":[0.9969172,0.00008979486,0.002125263,0.0005405094,0.0002009403,0.0001262931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008086435,0.0001828191,0.01946437,0.0005917583,0.001578766,0.0003496958,0.0006809942,0.3557172,0.0001951858,0.02170209,0.02316123,0.5755672],"study_design_scores_gemma":[0.01133892,0.003636987,0.2898407,0.004614403,0.0004957192,0.0003942103,0.0003026105,0.5178567,0.00009856281,0.009812201,0.1602168,0.001392151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3050351,0.004458951,0.6789165,0.0002809192,0.008293256,0.0005864014,8.213099e-7,0.00005345508,0.002374572],"genre_scores_gemma":[0.994647,0.001083571,0.002674366,0.00006553826,0.001289527,0.000007012677,2.220567e-7,0.00001021128,0.0002225807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6896119,"threshold_uncertainty_score":0.5780068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3010447702","doi":"10.1007/s10922-020-09517-0","title":"Network Management 2030: Operations and Control of Network 2030 Services","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; École de Technologie Supérieure","funders":"","keywords":"Computer science; DevOps; Network management; The Internet; Service (business); Network service; Engineering management; Telecommunications; Process management; Computer security; Computer network; World Wide Web; Software engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.01354586645116702,"gpt":0.2089659960804912,"spread":0.1954201296293242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297954,0.0002909071,0.0007291451,0.00007785487,0.0003028474,0.0004691535,0.0007153542,0.00008393871,0.000006348154],"category_scores_gemma":[0.000003783013,0.0002386749,0.0001227156,0.0006696935,0.00004821055,0.0004486083,0.0004857598,0.0002221042,0.000004027451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002569438,"about_ca_system_score_gemma":0.00001512678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001449534,"about_ca_topic_score_gemma":0.000008234898,"domain_scores_codex":[0.9971687,0.0002299753,0.00112782,0.0003916142,0.0005334964,0.0005484536],"domain_scores_gemma":[0.9984024,0.0001407504,0.0006208172,0.000374404,0.000155591,0.0003060802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008789507,0.00004272999,0.00788483,0.0005755469,0.000735871,0.0001715769,0.0002958453,0.8782874,0.000001235567,0.0608707,0.04174302,0.009303322],"study_design_scores_gemma":[0.003969549,0.0009266615,0.01613865,0.001989077,0.0005880529,0.0001388679,0.0006370694,0.8256782,4.922567e-7,0.003565792,0.1457227,0.0006448234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005804235,0.038367,0.9470432,0.003247099,0.002450314,0.001022326,0.000003307195,0.00008097352,0.001981581],"genre_scores_gemma":[0.9696468,0.004614852,0.01994532,0.002369158,0.003152721,0.00002405228,0.000002528431,0.00002592749,0.0002186664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9638426,"threshold_uncertainty_score":0.9732881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399625707","doi":"10.1007/s10922-024-09831-x","title":"Benchmarking Large Language Models for Log Analysis, Security, and Interpretation","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Benchmarking; Pipeline (software); Adaptation (eye); Language model; Domain (mathematical analysis); Interpretation (philosophy); Variety (cybernetics); Data mining; Data science; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.008274013247924983,"gpt":0.2573795766463653,"spread":0.2491055633984403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001888692,0.00009052012,0.0002604542,0.0002053208,0.00008353164,0.0003719316,0.0001649615,0.00003789784,7.019486e-7],"category_scores_gemma":[0.000003288956,0.00006447937,0.0001097918,0.0003480006,0.00001029428,0.0004568774,0.0001201983,0.00007952742,4.039056e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003242328,"about_ca_system_score_gemma":0.000009577601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006297997,"about_ca_topic_score_gemma":0.000005749107,"domain_scores_codex":[0.9989774,0.00006487887,0.000413079,0.0001814479,0.0001953325,0.0001678616],"domain_scores_gemma":[0.9994798,0.0001002351,0.0001558341,0.0001486529,0.00006024223,0.00005525038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001386746,0.0001601359,0.01581294,0.01100691,0.007990247,0.0003903724,0.03667725,0.4127492,0.000007888985,0.2471358,0.02125405,0.2466766],"study_design_scores_gemma":[0.0001760464,0.00008368438,0.0005896539,0.0004164717,0.0002102263,0.00003369054,0.000423719,0.9920997,2.928948e-7,0.00282744,0.00306356,0.00007551482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03686444,0.01767584,0.943458,0.0001089736,0.001273832,0.0002416354,0.000001713309,0.00002852298,0.0003471146],"genre_scores_gemma":[0.996254,0.0005249769,0.002708062,0.0000389565,0.0003894019,0.000009533459,0.000001608882,0.00000421409,0.00006921248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9593896,"threshold_uncertainty_score":0.3586545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3159537171","doi":"10.1007/s10922-021-09603-x","title":"Deep Reinforcement Learning Based Active Queue Management for IoT Networks","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Active queue management; Computer science; Reinforcement learning; Computer network; Quality of service; Queueing theory; Queue; Throughput; Queue management system; Enhanced Data Rates for GSM Evolution; Edge device; Network packet; Jitter; Network congestion; Wireless; Artificial intelligence; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01378672135924952,"gpt":0.2281408983558029,"spread":0.2143541769965534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012558,0.0002613885,0.0004942398,0.0001516506,0.0003346722,0.0004197783,0.0004902033,0.00008646783,0.000007799737],"category_scores_gemma":[0.0000135856,0.0002289833,0.0002179705,0.0005080889,0.00002246525,0.0002014429,0.0003135971,0.0002668139,0.00000207495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281513,"about_ca_system_score_gemma":0.00003601481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003445071,"about_ca_topic_score_gemma":0.000003675329,"domain_scores_codex":[0.9975162,0.0001956918,0.0008309323,0.0003837096,0.0005048067,0.0005687075],"domain_scores_gemma":[0.9981835,0.0002537537,0.0006988476,0.0003929106,0.0002781411,0.0001928543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006930676,0.00004321974,0.000209809,0.0001991255,0.0004340168,0.0002744571,0.00007286766,0.91351,3.897867e-7,0.03503364,0.008175281,0.04197786],"study_design_scores_gemma":[0.001520153,0.0002764271,0.0008019413,0.0005585637,0.0001349743,0.00005995364,0.0003182862,0.900914,0.00000241702,0.0006255917,0.09453961,0.000248091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002433164,0.004724135,0.9900007,0.0005205979,0.001893292,0.0005309858,1.373839e-7,0.00005058158,0.002036247],"genre_scores_gemma":[0.9100484,0.002828316,0.07924145,0.001585879,0.002248872,0.0001440215,0.00001330067,0.00005715236,0.003832639],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9107593,"threshold_uncertainty_score":0.9337668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075783342","doi":"10.1007/s10922-006-9039-4","title":"Clustering in WSN with Latency and Energy Consumption Constraints","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cluster analysis; Energy consumption; Latency (audio); Wireless sensor network; Distributed computing; Architecture; Cluster (spacecraft); Computer network; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.008560486810825288,"gpt":0.1914992771596255,"spread":0.1829387903488002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006017782,0.0001156057,0.0002382996,0.0001440464,0.00007251582,0.0001660863,0.0001593132,0.00003945228,9.882768e-7],"category_scores_gemma":[9.280585e-7,0.00008943753,0.00002026731,0.0001757784,0.00005751503,0.0001809434,0.00009867835,0.0001061672,2.953592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003488392,"about_ca_system_score_gemma":0.00000646293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003734354,"about_ca_topic_score_gemma":0.00005996685,"domain_scores_codex":[0.9988216,0.0001228821,0.0004277612,0.0001687617,0.0002278302,0.0002311697],"domain_scores_gemma":[0.9994137,0.00006026665,0.0002997438,0.0001279705,0.00004055831,0.00005774484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002423569,0.00003834723,0.01559322,0.00008460106,0.00004754372,0.0004957655,0.00006446165,0.9091108,0.000007286648,0.04949936,0.0005920224,0.02444238],"study_design_scores_gemma":[0.001508324,0.000222176,0.04572978,0.001430142,0.00003265941,0.000984847,0.0001241988,0.9446282,0.00000244496,0.0002857122,0.004759008,0.0002925053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1629233,0.004885444,0.8261853,0.0001490831,0.0007273736,0.0001080949,2.366089e-7,0.00002585598,0.004995293],"genre_scores_gemma":[0.992297,0.0006886318,0.006558704,0.00003945988,0.0001866441,0.000002637785,4.047502e-7,0.000006355842,0.0002201854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8293737,"threshold_uncertainty_score":0.3647157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2318834457","doi":"10.1007/s10922-016-9375-y","title":"Reliable Communication Networks for Smart Grid Transmission Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; International Cancer Imaging Society","keywords":"Computer science; Reliability (semiconductor); Heuristics; Distributed computing; Heuristic; Greedy algorithm; Smart grid; Telecommunications network; Network planning and design; Wireless mesh network; Computer network; Mathematical optimization; Power (physics); Algorithm; Wireless network; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.0115254279020293,"gpt":0.21438322089759,"spread":0.2028577929955607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007390354,0.0001588368,0.0003556166,0.00007780165,0.0001057183,0.00006453691,0.000251925,0.0001112298,0.000001429582],"category_scores_gemma":[0.000007521907,0.0001021315,0.00007269936,0.0001417019,0.00003925374,0.0001908018,0.00004629718,0.0001361328,0.000001372282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008795755,"about_ca_system_score_gemma":0.000002756303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001172978,"about_ca_topic_score_gemma":4.652614e-7,"domain_scores_codex":[0.9987209,0.00003723456,0.0006433201,0.0001100668,0.0001663795,0.000322112],"domain_scores_gemma":[0.999162,0.0001971674,0.0001958,0.0002749173,0.0000838572,0.00008624649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004557985,0.00001092839,0.0001556054,0.000290746,0.0001566537,0.000007702982,0.00001005482,0.8970503,0.00001889689,0.01129831,0.05536808,0.0355871],"study_design_scores_gemma":[0.001020465,0.0001705075,0.0001991257,0.002551103,0.00009718037,0.00004674892,0.0001651976,0.4328999,0.000002977595,0.001427468,0.5611919,0.0002274555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001709579,0.03756133,0.9564657,0.0002594262,0.001879197,0.0005896169,0.000001540248,0.0001607856,0.001372884],"genre_scores_gemma":[0.9206678,0.04711045,0.02984272,0.00002700359,0.001178835,0.0001021027,0.000003150845,0.00006859712,0.000999409],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9266229,"threshold_uncertainty_score":0.41648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1964853784","doi":"10.1007/s10922-010-9176-7","title":"Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Access Control and Trust","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Intrusion detection system; Trustworthiness; Incentive; Computer security; Host (biology); Network security; Robustness (evolution); Trust management (information system); Intrusion; Control (management); Collaborative network; Computer network; Knowledge management; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.009060541253302924,"gpt":0.265276020429717,"spread":0.2562154791764141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734367,0.0001165641,0.0002677601,0.0001214298,0.0006226049,0.0002421886,0.0001211954,0.00008143869,0.000009831795],"category_scores_gemma":[0.00003253686,0.0000890938,0.00005497192,0.0001904415,0.00007332859,0.0001932312,0.00003015457,0.0001317936,6.525472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003967005,"about_ca_system_score_gemma":0.00002518937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003719914,"about_ca_topic_score_gemma":0.0001527824,"domain_scores_codex":[0.9987538,0.0001518382,0.0003842834,0.0001491915,0.0003268459,0.0002340416],"domain_scores_gemma":[0.9989603,0.000128001,0.0004444986,0.0000859311,0.00020892,0.0001723149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005519017,0.0004927778,0.03020154,0.001614967,0.00198147,0.0002686565,0.003648999,0.006387275,0.0007312893,0.2499766,0.02438819,0.6747892],"study_design_scores_gemma":[0.008589156,0.0006654197,0.02365835,0.0004146837,0.0005617847,0.000009926644,0.008347478,0.02202116,0.0000146289,0.001868306,0.9334993,0.0003498361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5602638,0.01116321,0.3515858,0.009032574,0.01849804,0.01103195,0.0000349034,0.0001478178,0.03824192],"genre_scores_gemma":[0.9967421,0.0004762846,0.0008081917,0.0001314524,0.001084722,0.00004425813,7.404569e-7,0.000008847141,0.0007033838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9091111,"threshold_uncertainty_score":0.4788636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3210833786","doi":"10.1007/s10922-021-09638-0","title":"Collaborative Multi-domain Routing in SDN Environments","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Distributed computing; Routing (electronic design automation); Greedy algorithm; Domain (mathematical analysis); Routing domain; The Internet; Network performance; Bandwidth (computing); Static routing; Routing protocol; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01225499133209615,"gpt":0.2263639592050698,"spread":0.2141089678729736,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102828,0.0001251968,0.0003068978,0.00007836681,0.00009239724,0.0002037953,0.0002430659,0.0000442202,0.000002221159],"category_scores_gemma":[0.00001041568,0.0001073524,0.00004983693,0.0004956919,0.00001577382,0.0002273847,0.0002530634,0.0001513614,0.000003266814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007743693,"about_ca_system_score_gemma":0.00002338553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003785938,"about_ca_topic_score_gemma":0.000007597018,"domain_scores_codex":[0.9984081,0.0002351514,0.0005643654,0.0002093951,0.0003060786,0.0002769568],"domain_scores_gemma":[0.999237,0.00008868502,0.0003565942,0.0001859163,0.00004261157,0.00008919527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001256486,0.001000711,0.2172803,0.0003832846,0.001326271,0.01367836,0.006178862,0.4347064,0.00009766295,0.1842164,0.03412923,0.1068768],"study_design_scores_gemma":[0.01011956,0.0005643892,0.2626451,0.003637335,0.0001267236,0.0006750903,0.008075278,0.4445157,0.00002030401,0.004517016,0.2638632,0.001240248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03878426,0.01165452,0.9453499,0.0005047955,0.002031464,0.0002904561,7.712429e-7,0.00001734149,0.00136649],"genre_scores_gemma":[0.95923,0.001524653,0.03780506,0.0002313253,0.0003983087,0.000008197941,8.112614e-7,0.00001076055,0.0007908499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9204458,"threshold_uncertainty_score":0.4377705,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3031889203","doi":"10.1007/s10922-020-09542-z","title":"Software-Defined Networking (SDN) and Network Function Virtualization (NFV) for a Hyperconnected World: Challenges, Applications, and Major Advancements","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Network Functions Virtualization; Computer science; Software-defined networking; Virtualization; Function (biology); Software; Computer network; Network virtualization; Operating system; Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.02720709279633249,"gpt":0.233365529759116,"spread":0.2061584369627835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000918517,0.0002662741,0.0005119835,0.0001259905,0.0003703713,0.0003215846,0.0002668553,0.00007925934,0.000001347478],"category_scores_gemma":[0.00001896098,0.0002398641,0.00006707327,0.0006111541,0.00003234844,0.0004315869,0.0002560148,0.0001556982,0.000001002655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003659495,"about_ca_system_score_gemma":0.0000155322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002487548,"about_ca_topic_score_gemma":0.000007823794,"domain_scores_codex":[0.9978744,0.0001371051,0.0007785255,0.0004748876,0.0003127785,0.0004223273],"domain_scores_gemma":[0.9983748,0.0003203123,0.0006715647,0.0002337732,0.0001514045,0.0002481997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005230682,0.00009196637,0.00688726,0.001228121,0.0008735326,0.00003655033,0.0004823418,0.08126426,0.000004838083,0.1901568,0.03020837,0.6882429],"study_design_scores_gemma":[0.003631476,0.001014806,0.005920873,0.0009449963,0.0003854093,0.00009311847,0.0002594824,0.2064221,3.163728e-7,0.01214427,0.7685698,0.0006133495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005803487,0.07358204,0.9223949,0.001133155,0.001062176,0.001012761,0.000001393747,0.00009758487,0.0001356216],"genre_scores_gemma":[0.7482876,0.06478947,0.1656428,0.004750121,0.01509697,0.000664493,0.00004216766,0.0001559792,0.0005704212],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7567521,"threshold_uncertainty_score":0.9781375,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3173052482","doi":"10.1007/s10922-021-09609-5","title":"A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Høgskulen på Vestlandet","keywords":"Computer science; Cluster analysis; Database transaction; Pruning; Heuristic; Embedding; Transaction data; Data mining; Set (abstract data type); Representation (politics); Transactional leadership; Function (biology); Cyber-physical system; Machine learning; Artificial intelligence; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.03308979221899401,"gpt":0.2594467347006575,"spread":0.2263569424816635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001613633,0.000182347,0.0005071085,0.0002351392,0.0001398967,0.0007941591,0.003316019,0.00007228469,3.297526e-7],"category_scores_gemma":[0.0005991678,0.000158773,0.00005947539,0.0009458563,0.00001886555,0.0003531288,0.0115619,0.0003721119,0.000003439156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578027,"about_ca_system_score_gemma":0.0000333695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002699842,"about_ca_topic_score_gemma":0.000002954431,"domain_scores_codex":[0.9975833,0.0003830276,0.0006951396,0.0003933825,0.0005241283,0.0004210376],"domain_scores_gemma":[0.9981347,0.0001254713,0.0003900699,0.001093816,0.0001326967,0.0001232349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000049239,0.0005467617,0.009518917,0.001070404,0.0007592599,0.003568998,0.00131208,0.572379,0.0001838442,0.03138721,0.3494379,0.02978641],"study_design_scores_gemma":[0.0005791764,0.0001475241,0.001398,0.001169972,0.00002325928,0.000420129,0.001867658,0.9743525,0.000006210448,0.001069341,0.01870754,0.0002587343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.214627,0.006458757,0.7631404,0.003404111,0.002544767,0.0006793814,0.000002008667,0.0001935186,0.008950039],"genre_scores_gemma":[0.9590793,0.0001788904,0.04003477,0.00006679285,0.0003437609,0.00002557899,0.000002977227,0.0000138996,0.0002540566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7444522,"threshold_uncertainty_score":0.9964324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004114389","doi":"10.1007/s10922-020-09512-5","title":"A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Software deployment; Network management; Network monitoring; Network management station; Network management application; Management system; Element management system; Distributed computing; Artificial intelligence; Computer security; Software engineering; Computer network; Network architecture","retraction":null,"screen_n_in":null,"score":{"opus":0.0115900859151958,"gpt":0.1996768514037789,"spread":0.1880867654885831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001421171,0.0002170276,0.0004772476,0.00009067845,0.0004407516,0.000438173,0.0003875091,0.00007783705,0.000002366942],"category_scores_gemma":[0.000004399405,0.0001841423,0.0001058749,0.0003852123,0.00001827623,0.0003920571,0.0003975189,0.0002813767,0.000002504755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000538951,"about_ca_system_score_gemma":0.00000801655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009075347,"about_ca_topic_score_gemma":0.000003126991,"domain_scores_codex":[0.9979889,0.0001294306,0.0007223138,0.0003539193,0.000377624,0.0004277935],"domain_scores_gemma":[0.9988239,0.00005008767,0.0006055275,0.000186422,0.00009903811,0.0002350469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000488907,0.00005550869,0.002626699,0.003384416,0.001106887,0.0005106788,0.0008239996,0.6026784,0.00000386945,0.1732948,0.1554535,0.05957235],"study_design_scores_gemma":[0.0009201277,0.000416917,0.000165719,0.0004340186,0.00008972789,0.0001247814,0.0002559064,0.6189376,7.567357e-7,0.0004959276,0.378002,0.0001565068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003221478,0.02348137,0.9651086,0.00109477,0.002745165,0.001004608,0.000001014509,0.0001150107,0.003227938],"genre_scores_gemma":[0.9423605,0.005861883,0.04697518,0.0005426835,0.002948452,0.00004818069,0.000003147979,0.00003716844,0.001222796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.939139,"threshold_uncertainty_score":0.7509105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094481548","doi":"10.1007/s10922-020-09574-5","title":"A Data-driven, Multi-setpoint Model Predictive Thermal Control System for Data Centers","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Setpoint; Computer science; Data center; Workload; Model predictive control; Modular design; Controller (irrigation); Temperature control; Data-driven; Power (physics); Control theory (sociology); Real-time computing; Control (management); Control engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0675189135914508,"gpt":0.2610753587411948,"spread":0.193556445149744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576132,0.0002115902,0.0004893776,0.00007224976,0.0001941472,0.0003506727,0.002890933,0.00004175168,1.763339e-7],"category_scores_gemma":[0.0000159862,0.0001599201,0.00008595979,0.0001661225,0.00002711011,0.0001585782,0.002150311,0.0001598784,0.000001834206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006007674,"about_ca_system_score_gemma":0.00002493222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005666492,"about_ca_topic_score_gemma":9.186845e-7,"domain_scores_codex":[0.997638,0.0001695972,0.0008011561,0.0005563059,0.0004647966,0.00037007],"domain_scores_gemma":[0.9977712,0.00009467041,0.0007188832,0.001079989,0.0001081452,0.0002271006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001071564,0.00005369335,0.0001682758,0.0005053171,0.0006948241,0.00008568076,0.0002820485,0.9652034,0.000003754144,0.002813822,0.02548295,0.004599047],"study_design_scores_gemma":[0.002384572,0.0002199162,0.0001480836,0.0004323786,0.0001946618,0.00002831034,0.0005452296,0.9838551,1.318598e-7,0.000009795202,0.01202808,0.0001537411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002192267,0.001272514,0.9926716,0.001542772,0.00104287,0.0008716256,0.00006022769,0.00007603663,0.000270101],"genre_scores_gemma":[0.9628618,0.00004037522,0.03539027,0.0004878047,0.001092567,0.00001179204,0.00001315772,0.00001912152,0.00008307296],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9606696,"threshold_uncertainty_score":0.6521352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009255782","doi":"10.1007/s10922-014-9324-6","title":"How Robust Can a Machine Learning Approach Be for Classifying Encrypted VoIP?","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Traffic classification; Deep packet inspection; Encryption; Voice over IP; Computer network; Traffic generation model; Firewall (physics); Network security; Internet traffic; Network packet; The Internet; Payload (computing); Quality of service; Traffic analysis; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.0289963292342805,"gpt":0.2166735818630921,"spread":0.1876772526288116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129624,0.0001622524,0.0004171212,0.0001463486,0.0002355318,0.0006769313,0.0004514977,0.00005063438,5.640669e-7],"category_scores_gemma":[0.00002535319,0.0001209981,0.0001634742,0.0002114623,0.00001684984,0.0001879575,0.0001337241,0.0002280698,2.106787e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004411334,"about_ca_system_score_gemma":0.000008571455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000620437,"about_ca_topic_score_gemma":0.000008301178,"domain_scores_codex":[0.9983902,0.0002044376,0.0004904378,0.0002388235,0.0003524958,0.0003236145],"domain_scores_gemma":[0.998901,0.00009629549,0.0006319241,0.0001276402,0.0001332053,0.0001099162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001296919,0.00003151144,0.0002904591,0.0002317547,0.0003454945,0.00001472012,0.0005415401,0.7052471,0.000002201148,0.2769223,0.003585675,0.01277422],"study_design_scores_gemma":[0.000464437,0.0001616588,0.00007011911,0.0001583329,0.00007542094,0.00005102194,0.000410514,0.9428977,2.451407e-7,0.00002314197,0.05555963,0.0001278138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002690521,0.0009930213,0.9938079,0.0007602859,0.00056962,0.0001842802,2.723839e-7,0.00002629723,0.0009678742],"genre_scores_gemma":[0.9703396,0.00007337771,0.02721439,0.0001236278,0.0007826249,0.000007991027,0.000002323402,0.00001151208,0.001444557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9676491,"threshold_uncertainty_score":0.6527665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2318959599","doi":"10.1007/s10922-016-9377-9","title":"Dual-Failure Availability Analysis of Span-Restorable Mesh Networks","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Unavailability; Survivability; Computer science; Dual (grammatical number); Network topology; Distributed computing; High availability; Reliability engineering; Resource (disambiguation); Service (business); Path (computing); Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01380654773737177,"gpt":0.2213620506312143,"spread":0.2075555028938425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002382579,0.0002066356,0.0007931318,0.0003124186,0.000111951,0.0001433282,0.0005622582,0.00009545512,0.00002033244],"category_scores_gemma":[0.00002850687,0.0001283021,0.0002898714,0.001357049,0.00006158841,0.0003679721,0.0002879383,0.0001346488,0.000002785527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000714544,"about_ca_system_score_gemma":0.00002241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002045631,"about_ca_topic_score_gemma":0.00002027862,"domain_scores_codex":[0.9974114,0.0002469487,0.001064304,0.0003228034,0.0005433485,0.0004111653],"domain_scores_gemma":[0.9974766,0.0004248113,0.00101086,0.0006568251,0.0002460741,0.0001848432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001444138,0.0002682663,0.136257,0.0002545363,0.007718793,0.0003012673,0.0002627248,0.5286326,0.00001767672,0.08141361,0.1789216,0.06580739],"study_design_scores_gemma":[0.003630959,0.001093985,0.1853414,0.002199491,0.003814055,0.000178008,0.0002744503,0.6142214,0.000006379144,0.003362053,0.1847475,0.001130301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03224207,0.005223315,0.9589369,0.0007467892,0.001754036,0.0002833394,0.000002274475,0.00004610275,0.0007651935],"genre_scores_gemma":[0.9926426,0.001455359,0.004420762,0.0000825883,0.0005957969,0.000006230091,7.107868e-7,0.0000112166,0.0007847302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9604005,"threshold_uncertainty_score":0.5232007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045974926","doi":"10.1007/s10922-020-09555-8","title":"Monte Carlo Tree Search with Last-Good-Reply Policy for Cognitive Optimization of Cloud-Ready Optical Networks","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"British Columbia Institute of Technology","funders":"Narodowe Centrum Nauki","keywords":"Computer science; Monte Carlo tree search; Cloud computing; Data center; Network topology; Tree (set theory); Novelty; Blocking (statistics); Resource allocation; Focus (optics); Key (lock); Distributed computing; Monte Carlo method; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.02134427838326024,"gpt":0.2448842577366756,"spread":0.2235399793534154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009189796,0.0001882258,0.0004617427,0.0001382445,0.0001348351,0.0001914021,0.0004583878,0.00004528944,4.412363e-7],"category_scores_gemma":[0.00001916727,0.000139079,0.0001029311,0.0005450768,0.00005239145,0.00005365005,0.000328648,0.0001664062,4.559064e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004247199,"about_ca_system_score_gemma":0.00003399058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002054205,"about_ca_topic_score_gemma":0.000001929088,"domain_scores_codex":[0.9980484,0.0001434171,0.0006538369,0.0002874973,0.0004989073,0.0003679866],"domain_scores_gemma":[0.9985872,0.0001958313,0.0004936878,0.0001950602,0.0003133641,0.0002148374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001655178,0.00005487887,0.0004321813,0.0002145197,0.0004099997,0.00004908826,0.0004445377,0.9719088,3.740051e-7,0.01025643,0.001946317,0.01411733],"study_design_scores_gemma":[0.001592507,0.001278359,0.0006166598,0.0005107003,0.0001283671,0.0000363834,0.000699034,0.992183,0.000001101764,0.00001665334,0.002783722,0.0001535224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01887748,0.0008720337,0.9753303,0.001931789,0.000351507,0.0006747274,0.00000129333,0.00003176853,0.001929092],"genre_scores_gemma":[0.9829209,0.0001026467,0.01456963,0.0004227095,0.001708357,0.00001094479,9.478885e-7,0.00001894233,0.0002448962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9640434,"threshold_uncertainty_score":0.5671478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2223991623","doi":"10.1007/s10922-015-9362-8","title":"OPTIMA: On-Line Partitioning Skew Mitigation for MapReduce with Resource Adjustment","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Skew; Computer science; Workload; Heuristics; Overhead (engineering); Distributed computing; Local optimum; Mathematical optimization; Parallel computing; Algorithm; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01920090812794837,"gpt":0.2348118492464476,"spread":0.2156109411184992,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010573,0.0001480584,0.0002403795,0.000114139,0.0001850677,0.0001530381,0.000326722,0.00002812495,9.643392e-7],"category_scores_gemma":[0.000006917419,0.00008401718,0.00007197855,0.0001627658,0.00002627449,0.00004923685,0.0001332073,0.00006312087,0.000002555224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007904747,"about_ca_system_score_gemma":0.00001005402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001628128,"about_ca_topic_score_gemma":4.678547e-7,"domain_scores_codex":[0.9985277,0.00009144565,0.0004608649,0.000245667,0.0003898455,0.0002844944],"domain_scores_gemma":[0.9989021,0.0001487035,0.0004701583,0.0002753186,0.00009579254,0.0001079209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001326959,0.0001112518,0.0001614264,0.0001967055,0.0003681915,0.00006020597,0.0001984291,0.7358163,0.000008188571,0.1135487,0.02978779,0.1196101],"study_design_scores_gemma":[0.008271718,0.005817081,0.006138298,0.009391001,0.0003452765,0.0003245379,0.0007898719,0.5493574,0.00004401814,0.00351106,0.4151522,0.0008574771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03486877,0.001134822,0.957,0.003500844,0.0008163736,0.0005713048,7.991665e-7,0.00004739785,0.002059717],"genre_scores_gemma":[0.9589817,0.0001051829,0.03518897,0.0003199214,0.00161524,0.00004302984,7.321645e-7,0.00001861301,0.003726592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.924113,"threshold_uncertainty_score":0.3426121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362717980","doi":"10.1007/s10922-023-09734-3","title":"On Ensuring Full Yet Cost-Efficient Survivability of Service Function Chains in NFV Environments","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Survivability; Computer science; Backup; Provisioning; Software deployment; Service (business); Leverage (statistics); Key (lock); Computer network; Distributed computing; Computer security; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.0251099686309073,"gpt":0.2275334979578187,"spread":0.2024235293269114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002182602,0.0001314723,0.0003119134,0.0002044979,0.00006843736,0.00005777153,0.0003014188,0.00004835794,0.000002096321],"category_scores_gemma":[0.00001108677,0.0001099253,0.00006108321,0.0007155744,0.00001410904,0.00009052687,0.000220453,0.0001451203,0.000008263089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008506514,"about_ca_system_score_gemma":0.000008202686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002378748,"about_ca_topic_score_gemma":0.00001416246,"domain_scores_codex":[0.9981931,0.0001824,0.0006352658,0.0002252377,0.0004767827,0.0002871707],"domain_scores_gemma":[0.9989524,0.0002138342,0.0004102486,0.0003076694,0.00003526661,0.00008056403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008266498,0.0001141008,0.005886065,0.0001584098,0.00006961611,0.00005136879,0.0002213064,0.973949,0.00001026472,0.007789505,0.001606741,0.01006099],"study_design_scores_gemma":[0.001513691,0.0005254095,0.2878747,0.0009535368,0.00003610163,0.00002040179,0.0003226127,0.6994814,0.000002793887,0.001112335,0.007920151,0.0002368736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8238314,0.0007567859,0.170294,0.0004723399,0.00338327,0.0006609089,0.000001765093,0.00004143725,0.0005580811],"genre_scores_gemma":[0.9991349,0.0002408361,0.0002230003,0.0001112662,0.0001507846,0.00001196533,0.000001283065,0.000008281098,0.0001176773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2819887,"threshold_uncertainty_score":0.4482623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123397491","doi":"10.1023/a:1009429702869","title":"Web-Based Customer Management of VPNs","year":2001,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"IBM (Canada); University of Toronto; University of Waterloo","funders":"","keywords":"Private network; Computer science; Virtualization; Computer network; Architecture; Broadband networks; Service provider; Service (business); Broadband; Telecommunications; Cloud computing; Business; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01025905813166506,"gpt":0.2117989434946175,"spread":0.2015398853629524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208794,0.0002389517,0.0005257278,0.000178556,0.00006273646,0.00006286846,0.0002605122,0.00008132347,0.00003248701],"category_scores_gemma":[0.000001409543,0.0002127746,0.0001560998,0.0003842233,0.00004119814,0.000131736,0.00008014541,0.0002134182,0.000009515057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227881,"about_ca_system_score_gemma":0.000006984983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005359922,"about_ca_topic_score_gemma":0.000006356484,"domain_scores_codex":[0.9978967,0.00009202782,0.0009282072,0.0001657103,0.0005036166,0.0004137857],"domain_scores_gemma":[0.9990808,0.00004699321,0.0003184919,0.000326439,0.00008748059,0.0001397805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458523,0.0001418033,0.005689364,0.002313145,0.00108739,0.0005156323,0.00008799096,0.9376455,0.00001179392,0.003453084,0.03665772,0.0122507],"study_design_scores_gemma":[0.005849377,0.0002915194,0.0181702,0.002729329,0.0009229372,0.0001528869,0.0008445029,0.3555076,0.00001041776,0.000443299,0.6143759,0.0007020517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7049436,0.04954014,0.07243231,0.0002758335,0.01581343,0.002809983,0.00001257122,0.0003387324,0.1538334],"genre_scores_gemma":[0.9940146,0.003809216,0.0007902834,0.00003941055,0.0006474647,0.00001623063,0.000001821909,0.00003477728,0.0006461686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5821379,"threshold_uncertainty_score":0.8676698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2593350267","doi":"10.1007/s10922-017-9408-1","title":"COVE: Co-operative Virtual Network Embedding for Network Virtualization","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Beijing Municipal Natural Science Foundation; University of Waterloo; National Natural Science Foundation of China","keywords":"Network virtualization; Computer science; Distributed computing; Virtual network; Computer network; Virtualization; Network topology; Network management station; Network management; Overhead (engineering); Network architecture; Cloud computing","retraction":null,"screen_n_in":null,"score":{"opus":0.02550570979458684,"gpt":0.3087022038156768,"spread":0.2831964940210899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002691779,0.0002940202,0.0006389458,0.00007622535,0.001533243,0.001641315,0.001087257,0.0001210347,0.000004143837],"category_scores_gemma":[0.00004797005,0.0002426423,0.0001767066,0.0001900749,0.00006799796,0.0008768225,0.0003760111,0.0002089628,0.000004665324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007550477,"about_ca_system_score_gemma":0.00003930011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006440203,"about_ca_topic_score_gemma":0.00000511824,"domain_scores_codex":[0.9973309,0.0002012213,0.0009320788,0.0003796748,0.0004861616,0.0006699747],"domain_scores_gemma":[0.9970474,0.0003415945,0.001498974,0.0006578439,0.000244677,0.0002095256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007263955,0.00002451338,0.002723998,0.00005622528,0.0002853899,0.00004832672,0.0001650432,0.6534117,5.545151e-7,0.1555197,0.1718626,0.01582927],"study_design_scores_gemma":[0.002211684,0.0008893025,0.005552775,0.00140344,0.0001513238,0.0001092844,0.0001952545,0.7335948,0.000001002041,0.006638378,0.2487219,0.000530904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00171946,0.003876374,0.9851475,0.0003788226,0.006196482,0.0007046628,0.000002291872,0.00005143407,0.001922909],"genre_scores_gemma":[0.9416818,0.002605934,0.03734832,0.000916687,0.01484484,0.00007954284,0.00001034895,0.00006259849,0.002449909],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9477993,"threshold_uncertainty_score":0.9997666,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1542466461","doi":"10.1023/a:1022497125456","title":"A Multi-Agent Architecture for QoS Management in Multimedia Networks","year":2003,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Quality of service; Network congestion; Throughput; Real-time computing; Frame (networking); Transmission (telecommunications); Distributed computing; Telecommunications; Network packet; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.03107276805270807,"gpt":0.2918913758999711,"spread":0.260818607847263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00247181,0.0002180478,0.0004210092,0.0002413588,0.0001147438,0.0002635834,0.000487392,0.00006188351,0.000001769709],"category_scores_gemma":[0.00001095708,0.0001773096,0.000137148,0.0003418053,0.0000219247,0.0002215843,0.0001624875,0.0002047381,0.000001705728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100001,"about_ca_system_score_gemma":0.00001570953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006136839,"about_ca_topic_score_gemma":0.000009490188,"domain_scores_codex":[0.9976323,0.0003091319,0.0008745902,0.0003074107,0.0003774689,0.0004991057],"domain_scores_gemma":[0.9988464,0.0001255416,0.0004513556,0.0003512615,0.00007883745,0.0001466272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001131234,0.0007024927,0.001726334,0.001133453,0.001067289,0.001147074,0.001548047,0.6950157,0.000008930108,0.1014399,0.03310137,0.1629963],"study_design_scores_gemma":[0.006553646,0.0004149027,0.006570993,0.0009434851,0.0001472445,0.0001771179,0.001296191,0.6824378,0.000004186764,0.00168991,0.2991967,0.0005678597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007418817,0.003606936,0.9910733,0.0003038981,0.002308151,0.001039211,5.050248e-7,0.00001778204,0.0009084054],"genre_scores_gemma":[0.3902285,0.0017659,0.6041677,0.0008946916,0.0009213547,0.0001866962,0.000002298056,0.00003443707,0.001798427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3894866,"threshold_uncertainty_score":0.7230477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393182829","doi":"10.1007/s10922-024-09810-2","title":"Dependability of Network Services in the Context of NFV: A Taxonomy and State of the Art Classification","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dependability; Computer science; Taxonomy (biology); Context (archaeology); Network Functions Virtualization; State (computer science); Data science; Computer security; Software engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02294521119849384,"gpt":0.2257959820299369,"spread":0.202850770831443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002469372,0.00009825973,0.0003070091,0.00005838529,0.00004701415,0.00009443842,0.0004709136,0.00002918354,6.918192e-7],"category_scores_gemma":[0.000004442143,0.00005335452,0.00007760996,0.0004718422,0.0000599486,0.0001643742,0.0001627462,0.0001376599,2.29796e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819515,"about_ca_system_score_gemma":0.00002127073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000355358,"about_ca_topic_score_gemma":0.00006204262,"domain_scores_codex":[0.9983477,0.0002777629,0.0007699537,0.0001459429,0.0003084211,0.0001501905],"domain_scores_gemma":[0.9986653,0.0003013656,0.0006077189,0.000313226,0.00008309317,0.00002926751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002489746,0.0003207216,0.2610305,0.006649443,0.001031789,0.00006656043,0.006953229,0.1738337,0.00002745432,0.1295827,0.03210578,0.3881492],"study_design_scores_gemma":[0.001089772,0.0004760697,0.4471117,0.005688233,0.0001952408,0.0001019535,0.002711508,0.4274941,0.000007577161,0.008843738,0.1060263,0.0002537332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7645973,0.05669202,0.168172,0.002487809,0.003594982,0.002336567,0.000008128054,0.00002836186,0.002082868],"genre_scores_gemma":[0.9982212,0.0008127302,0.000699346,0.00006992657,0.0001391875,0.00001138941,2.982852e-7,0.000003996286,0.00004199548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878955,"threshold_uncertainty_score":0.2175734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1545563632","doi":"10.1023/a:1009499124873","title":"Configuration Maintenance for Distributed Applications Management","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.009183441499180914,"gpt":0.2291394883251863,"spread":0.2199560468260054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009112585,0.0001062165,0.0002204073,0.00005444738,0.0001951507,0.0001620108,0.0003544198,0.00003508467,0.000004935662],"category_scores_gemma":[0.000001589641,0.00007890954,0.00007703215,0.000230403,0.00002148378,0.0002521632,0.00004088318,0.00005704143,0.000009100907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005580363,"about_ca_system_score_gemma":0.000008247302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001706037,"about_ca_topic_score_gemma":3.017621e-7,"domain_scores_codex":[0.9987585,0.0000454949,0.0005686052,0.000181837,0.0002280353,0.0002175091],"domain_scores_gemma":[0.9991821,0.00004317888,0.0002814943,0.0002950451,0.0001243417,0.00007381102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001198346,0.0001752972,0.001036837,0.001655502,0.0005416989,0.00005152248,0.0002184632,0.08203336,0.000002604803,0.2162884,0.07541818,0.6224583],"study_design_scores_gemma":[0.0012124,0.0001653648,0.005626529,0.0003668687,0.00006871679,0.00009319738,0.0001873447,0.0486003,0.000001809349,0.003489513,0.9400029,0.0001850955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001730326,0.0009521419,0.9913646,0.000382599,0.0005370481,0.001061646,0.000002865334,0.00003472732,0.003934072],"genre_scores_gemma":[0.975557,0.001974183,0.01781092,0.0001713507,0.000704295,0.000315952,0.000008567938,0.00001068241,0.003447098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9738266,"threshold_uncertainty_score":0.3217838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1513275202","doi":"10.1023/a:1014401508703","title":"Managing Quality-of-Service in Internet Applications Using Differentiated Services","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality of service; Computer network; Differentiated services; Mobile QoS; Traffic classification; The Internet; Provisioning; Differentiated service; Integrated services; Network packet; Throughput; Network management; Service (business); Distributed computing; Service provider; Telecommunications; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.03698256486875612,"gpt":0.2568194025526865,"spread":0.2198368376839304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006790804,0.0001063859,0.0003122006,0.0001577487,0.00004486527,0.000119562,0.0004650977,0.00003294085,0.0000045552],"category_scores_gemma":[7.34044e-7,0.0000917316,0.00004901557,0.0004593513,0.00001089225,0.0002160096,0.0001376159,0.0001066931,0.000002195927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002958325,"about_ca_system_score_gemma":0.000003246409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005379637,"about_ca_topic_score_gemma":0.00002462058,"domain_scores_codex":[0.9985065,0.0001548752,0.000754785,0.0001540501,0.0002465225,0.0001832499],"domain_scores_gemma":[0.9989645,0.00006603496,0.0006028176,0.000209672,0.00009452577,0.00006245828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000058405,0.0003702416,0.01742236,0.001969811,0.000679252,0.00008798277,0.001891504,0.3581888,0.00004213989,0.1956937,0.001146348,0.4224495],"study_design_scores_gemma":[0.0006451842,0.00002746681,0.003832958,0.0005302289,0.00003118681,0.00002015213,0.0002069769,0.99076,3.286928e-7,0.0006107033,0.003233622,0.0001011975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09759434,0.007861531,0.8913435,0.0007266089,0.0006624121,0.0003925587,3.358952e-7,0.00002701666,0.001391714],"genre_scores_gemma":[0.9965164,0.000423803,0.002548633,0.0001700695,0.0001748316,0.000008315469,3.568075e-7,0.000005424015,0.0001521841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.898922,"threshold_uncertainty_score":0.3740706,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408283015","doi":"10.1007/s10922-025-09917-0","title":"Toward Generating a Large Scale Intrusion Detection Dataset and Intruders Behavioral Profiling Using Network and Transportation Layers Traffic Flow Analyzer (NTLFlowLyzer)","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Profiling (computer programming); Intrusion detection system; Spectrum analyzer; Intrusion; Scale (ratio); Data mining; Computer network; Real-time computing; Telecommunications; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02034128597524085,"gpt":0.2610441795711468,"spread":0.2407028935959059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434699,0.0001973126,0.0003554087,0.0002292596,0.0005654336,0.000421197,0.0001632109,0.0001059567,0.000001467097],"category_scores_gemma":[0.000003348815,0.0001794634,0.00005545244,0.000574755,0.00003591486,0.0006335448,0.0001101681,0.0002607787,1.860918e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006757492,"about_ca_system_score_gemma":0.00001920952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002539224,"about_ca_topic_score_gemma":0.0001338957,"domain_scores_codex":[0.9981203,0.0002044746,0.0007188336,0.0003394162,0.0002841938,0.0003327492],"domain_scores_gemma":[0.9991792,0.00003887761,0.0004086636,0.0001735486,0.00008615616,0.0001135144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001368091,0.00007341855,0.001587355,0.0004107268,0.0001951618,0.00007333353,0.00111383,0.847522,0.0002738405,0.001101047,0.001858367,0.1456541],"study_design_scores_gemma":[0.0008039772,0.0001754391,0.0009918966,0.0005128434,0.0001802444,0.00007194001,0.0008274572,0.9931858,0.00002239691,0.0001660396,0.00288006,0.0001818935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.539873,0.002332238,0.4563708,0.00005926826,0.00106622,0.0002628866,0.000005703342,0.00002173366,0.000008128817],"genre_scores_gemma":[0.9772415,0.0009910756,0.02101216,0.0001177286,0.0005897071,0.000007691537,0.00001914178,0.000009928037,0.00001112498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4373684,"threshold_uncertainty_score":0.7318305,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2941475555","doi":"10.1007/s10922-019-09497-w","title":"Latency Control of ICN Enabled 5G Networks","year":2019,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Ericsson (Canada)","funders":"","keywords":"Computer science; Backhaul (telecommunications); Computer network; Latency (audio); Network congestion; Cache; Wireless; Wireless network; Distributed computing; Base station; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.006926113298285255,"gpt":0.1845019316509188,"spread":0.1775758183526335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188546,0.0001094971,0.0003925279,0.00009728667,0.000048317,0.0001133618,0.0004166485,0.00004141629,0.000003394282],"category_scores_gemma":[0.000003055838,0.0000826545,0.0001165594,0.0001727688,0.00001178807,0.0002115867,0.00008404986,0.0001370988,0.000004425739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002233295,"about_ca_system_score_gemma":0.0000111311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000161138,"about_ca_topic_score_gemma":5.387581e-7,"domain_scores_codex":[0.9986158,0.0001285387,0.0005808611,0.0001420645,0.0003079187,0.0002248349],"domain_scores_gemma":[0.9988959,0.00007980361,0.0005561379,0.0002725974,0.0001181927,0.00007739792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001811878,0.0001346781,0.03406331,0.000418302,0.001075187,0.0002700472,0.0002658849,0.8313323,0.000127645,0.09157623,0.01655901,0.02399627],"study_design_scores_gemma":[0.002642051,0.0005147651,0.008877141,0.0008870239,0.0001096801,0.0001369299,0.0002063909,0.9714996,0.000001177527,0.0005576281,0.01434525,0.00022242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1675366,0.01687194,0.7983881,0.0003948272,0.00604761,0.0005936547,5.351059e-7,0.00003572756,0.01013101],"genre_scores_gemma":[0.9974705,0.0005412264,0.0002304876,0.0001285169,0.000335004,0.000001882355,1.656944e-7,0.000005519186,0.001286705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8299339,"threshold_uncertainty_score":0.3370553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1531495884","doi":"10.1023/a:1009430220293","title":"Communications Systems Driven by Software Agent Technology","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nortel (Canada)","funders":"Barts and The London School of Medicine and Dentistry; Engineering and Physical Sciences Research Council; Imperial College London","keywords":"Computer science; Domain (mathematical analysis); Mobile agent; Network management; Software agent; Telecommunications; Engineering management; Distributed computing; Computer network; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01386950643254866,"gpt":0.2281134627866686,"spread":0.2142439563541199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088082,0.0002343907,0.0004641979,0.000258583,0.0002987745,0.0004017098,0.002133237,0.00008834151,0.00001498198],"category_scores_gemma":[0.000004647869,0.0002034652,0.0001003977,0.0007333759,0.00008020835,0.0003045261,0.000642284,0.0002608027,0.00003935226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803034,"about_ca_system_score_gemma":0.0000205707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001662662,"about_ca_topic_score_gemma":0.000002322172,"domain_scores_codex":[0.9974306,0.0002870988,0.000978604,0.0003150363,0.0005283616,0.0004602635],"domain_scores_gemma":[0.9976181,0.00008674413,0.000610543,0.001394813,0.0001171487,0.000172698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002264427,0.0002268728,0.002426812,0.0003213431,0.0008567328,0.0003188873,0.0001654075,0.3115584,0.000005621406,0.05966927,0.4186997,0.2057284],"study_design_scores_gemma":[0.0006710191,0.0002287683,0.0002910557,0.0005136326,0.00009253076,0.0001441862,0.0001960317,0.1366331,5.273499e-7,0.0003771053,0.8605949,0.000257127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0115736,0.07346351,0.8937933,0.003853684,0.003674981,0.002378091,0.000006635865,0.0003782802,0.01087786],"genre_scores_gemma":[0.943019,0.01871637,0.028719,0.0005160325,0.0006162728,0.0001874395,0.000008709217,0.0000446598,0.00817246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9314455,"threshold_uncertainty_score":0.8297071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127699833","doi":"10.1023/a:1021116306389","title":"Optimizing Management Functions in Distributed Systems","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Interface (matter); XML; Distributed computing; Distributed management; Set (abstract data type); Systems management; Management system; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02061592039021777,"gpt":0.207819260057939,"spread":0.1872033396677212,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001707865,0.0002939799,0.0005337573,0.0004924452,0.0001931201,0.000602982,0.0008551847,0.00006363517,0.00001273225],"category_scores_gemma":[0.000003779951,0.0002607995,0.0001278914,0.0010998,0.00002985551,0.0005089315,0.0005336025,0.000248677,0.00002902736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396,"about_ca_system_score_gemma":0.000005698778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001818378,"about_ca_topic_score_gemma":0.000003982253,"domain_scores_codex":[0.9966359,0.0002963494,0.001265265,0.0004315046,0.000733757,0.0006372252],"domain_scores_gemma":[0.9982675,0.00008079593,0.0007037343,0.000652565,0.0000888555,0.0002065673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000135203,0.0001286647,0.0006312977,0.0003586546,0.0003728488,0.001146034,0.0001231847,0.8550436,4.735525e-7,0.04311252,0.08765017,0.01141902],"study_design_scores_gemma":[0.001624468,0.0002026444,0.001641135,0.001063148,0.0001281159,0.0001252603,0.0008603922,0.7526986,1.437094e-7,0.0001703051,0.241121,0.0003647596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002696248,0.01508134,0.9600285,0.0005508903,0.004793607,0.001323938,0.000002424632,0.00009165843,0.01543137],"genre_scores_gemma":[0.9851618,0.003168726,0.007098787,0.0001558262,0.0006505389,0.0001206156,0.000003857062,0.00002684377,0.003613001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9824656,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1514473067","doi":"10.1023/a:1014405609612","title":"Extending COPS-PR with Meta-Policies for Scalable Management of IP Networks","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Scalability; Provisioning; Computer network; Quality of service; Protocol (science); Network management; Computer security; Distributed computing; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.04313814534948185,"gpt":0.237801468260971,"spread":0.1946633229114892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00217357,0.0003801384,0.0009631598,0.0002994333,0.0002437077,0.000339666,0.001034509,0.00006242674,0.00002094699],"category_scores_gemma":[0.000002586181,0.0002753881,0.0002939468,0.0008024083,0.00007181683,0.0004576387,0.0004729959,0.0001615582,0.000002833511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214048,"about_ca_system_score_gemma":0.000006878373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001053359,"about_ca_topic_score_gemma":0.000002778395,"domain_scores_codex":[0.9966086,0.0001819229,0.001237971,0.0004447986,0.0008037549,0.0007229423],"domain_scores_gemma":[0.9973959,0.0001631962,0.001305272,0.0007350455,0.0001978215,0.0002027628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007406821,0.0001563525,0.0002435451,0.001102442,0.006563159,0.0002602559,0.0001241234,0.7535267,8.755032e-7,0.1285221,0.07489884,0.03452756],"study_design_scores_gemma":[0.002857772,0.001178676,0.0009155239,0.001437409,0.003438035,0.0001345042,0.0005393808,0.8058794,0.00000521743,0.000765842,0.1822426,0.0006056456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001591041,0.02236347,0.9661287,0.0004075113,0.001257338,0.00170584,0.000001690454,0.00005432518,0.006490048],"genre_scores_gemma":[0.9100847,0.009221689,0.07289635,0.0003981547,0.000869891,0.0003292028,0.000002404787,0.00006336423,0.006134287],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9084936,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015894516","doi":"10.1023/b:jons.0000034215.58853.91","title":"Virtual Traffic Path Optimization in Connection-Oriented Networks with Stochastic Traffic","year":2004,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Network packet; Computer network; Traffic generation model; Distributed computing; Traffic flow (computer networking); Traffic engineering; Path (computing); Connection (principal bundle)","retraction":null,"screen_n_in":null,"score":{"opus":0.005880640879010847,"gpt":0.1892892858646531,"spread":0.1834086449856423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008037536,0.0002026335,0.0003827733,0.0002037147,0.0001374282,0.0001962629,0.000284074,0.00007069493,0.000001768057],"category_scores_gemma":[0.000005839904,0.0001588919,0.0000595955,0.0006884669,0.00003680729,0.0003559787,0.00004596154,0.0002404637,0.000001139155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152328,"about_ca_system_score_gemma":0.0000484482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000279674,"about_ca_topic_score_gemma":0.00001358482,"domain_scores_codex":[0.9981844,0.0001334101,0.0006679095,0.0002703962,0.0003883094,0.0003556089],"domain_scores_gemma":[0.9989772,0.00008462076,0.0004482381,0.0002014011,0.0001412122,0.0001473608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009819868,0.00008661055,0.00002461171,0.00001388359,0.00009532481,0.0001422771,0.0001820075,0.9490681,4.885491e-8,0.01519197,0.0002722452,0.03482471],"study_design_scores_gemma":[0.003088192,0.0006321073,0.0002186897,0.0005645101,0.00004755776,0.000218398,0.0003652826,0.9942796,1.313346e-8,0.00002017345,0.0003860501,0.0001794023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.047003,0.001538753,0.9492466,0.0002747916,0.001404371,0.0003938731,1.944518e-7,0.000050938,0.00008741296],"genre_scores_gemma":[0.9941007,0.0002318965,0.004950202,0.00009625885,0.0005075419,0.00001878906,0.000001462263,0.00001345159,0.00007968218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9470977,"threshold_uncertainty_score":0.6479422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410606064","doi":"10.1007/s10922-025-09928-x","title":"A Novel Framework for Integrating Blockchain-Driven Federated Learning with Neural Networks in E-Commerce","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Blockchain; Computer science; Artificial neural network; Data science; Knowledge management; World Wide Web; Artificial intelligence; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01173796143704297,"gpt":0.249377538042482,"spread":0.237639576605439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008742951,0.0001406406,0.0003279852,0.0002030348,0.0002651193,0.0002015292,0.0004107164,0.0001121321,2.247677e-7],"category_scores_gemma":[0.00002012113,0.000108267,0.00004718084,0.0007273668,0.00003337431,0.00006170092,0.0001653086,0.0005264778,7.550274e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004875165,"about_ca_system_score_gemma":0.00001584908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000137758,"about_ca_topic_score_gemma":0.00003079349,"domain_scores_codex":[0.9988008,0.00007587534,0.0005062601,0.0002181666,0.0001209894,0.0002779819],"domain_scores_gemma":[0.9990358,0.0002448256,0.0003731179,0.0001858074,0.0001175949,0.00004283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003798739,0.00006197415,0.004491253,0.00007196094,0.0001262836,0.0000165318,0.0001536286,0.4908417,0.000003490939,0.4773409,0.0004023173,0.02645203],"study_design_scores_gemma":[0.0006855847,0.0001588121,0.001455394,0.0006584629,0.00002382539,0.00004291364,0.0005708458,0.9915147,6.070587e-7,0.002297738,0.002484797,0.0001063523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02351402,0.001142666,0.9727612,0.001571109,0.0002882259,0.0004404635,1.475188e-7,0.0000389437,0.0002432009],"genre_scores_gemma":[0.9277702,0.00005880066,0.0717094,0.0002089305,0.000106133,0.00005457151,4.093506e-7,0.000006510552,0.00008504315],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9042562,"threshold_uncertainty_score":0.4414999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074556084","doi":"10.1007/s10922-014-9331-7","title":"Online Incremental Clock Synchronization","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Timestamp; Distributed computing; Network Time Protocol; Synchronization (alternating current); Real-time computing; Clock synchronization; Tracing; Overhead (engineering); Data synchronization; Key (lock); Granularity; Protocol (science); TRACE (psycholinguistics); Computer network; Time synchronization; Wireless sensor network; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.009062417775400561,"gpt":0.2146911380750856,"spread":0.205628720299685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683238,0.0001222684,0.0002388606,0.0001502274,0.000117124,0.0001951084,0.0005411954,0.0000514112,0.000003705847],"category_scores_gemma":[0.00001592818,0.0001009155,0.00004105355,0.0004109526,0.00003024338,0.0003250995,0.0003160748,0.0001139692,0.000005993148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007721072,"about_ca_system_score_gemma":0.00001125683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002552243,"about_ca_topic_score_gemma":0.00000142677,"domain_scores_codex":[0.9986067,0.0001241618,0.0005388554,0.0001646498,0.0003479075,0.000217678],"domain_scores_gemma":[0.9989837,0.00004689107,0.0005048421,0.0002832357,0.0001173487,0.00006395062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001181346,0.0001625141,0.004966457,0.0002236892,0.0002779462,0.00005463769,0.0001124979,0.1978215,0.00001156228,0.4263358,0.05679638,0.3132252],"study_design_scores_gemma":[0.0009321473,0.0004061417,0.003575942,0.000401138,0.0000464702,0.0001725137,0.0001720908,0.8814179,0.000007202907,0.00397796,0.1086409,0.000249556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00551563,0.00233828,0.9887626,0.0005001854,0.001116179,0.0001770417,2.726655e-7,0.00008902461,0.001500819],"genre_scores_gemma":[0.9690732,0.000606162,0.02910547,0.0001394242,0.0007147608,0.000002791335,0.000001924169,0.000009806184,0.0003464931],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9635575,"threshold_uncertainty_score":0.4115216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3168454669","doi":"10.1007/s10922-021-09608-6","title":"A Novel Lightweight Defense Method Against Adversarial Patches-Based Attacks on Automated Vehicle Make and Model Recognition Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Adversarial system; Robustness (evolution); Overhead (engineering); Artificial intelligence; Computer security; Cyber-physical system; Convolutional neural network; Focus (optics); Deep learning; Situation awareness; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.02913366341677486,"gpt":0.2757896375299138,"spread":0.2466559741131389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062828,0.000251796,0.0005261847,0.0001838017,0.0002535478,0.0004667295,0.0002951839,0.0001218872,7.372164e-7],"category_scores_gemma":[0.00004951876,0.0002171545,0.0001088957,0.0003840274,0.00002342405,0.0002649357,0.0002287307,0.0003439939,0.000002606988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204201,"about_ca_system_score_gemma":0.00007132383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001300007,"about_ca_topic_score_gemma":0.000002637451,"domain_scores_codex":[0.9973274,0.0005414437,0.0007771149,0.0004132435,0.0005920865,0.0003487243],"domain_scores_gemma":[0.9982476,0.0002501925,0.0007376443,0.0003365938,0.0002509074,0.0001770545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009052246,0.00007792896,0.0001326432,0.0002411865,0.0002060254,0.0004000606,0.0001819509,0.9839309,0.0000974795,0.003543194,0.0009168515,0.01018124],"study_design_scores_gemma":[0.002089387,0.0001400677,0.0002790233,0.001086813,0.0001038775,0.0001425685,0.0001828539,0.9938899,0.0000100816,0.0001601176,0.001677376,0.0002379751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01645714,0.001028926,0.9785806,0.0003851397,0.002007884,0.0003081518,0.000003203876,0.0001164099,0.001112552],"genre_scores_gemma":[0.8816068,0.0001690927,0.1167573,0.0003903255,0.0008088237,0.00001458444,0.000006240551,0.00003102763,0.0002158417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8651496,"threshold_uncertainty_score":0.8855306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2337628738","doi":"10.1007/s10922-016-9382-z","title":"A Novel Long Term Telecommunication Network Planning Framework","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Term (time); Telecommunications; Computer network; Telecommunications service","retraction":null,"screen_n_in":null,"score":{"opus":0.1212810637044541,"gpt":0.3630768333992616,"spread":0.2417957696948075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006509372,0.0001349757,0.0003573524,0.000235188,0.0002975805,0.0003517607,0.0005810236,0.00008033235,0.00004771641],"category_scores_gemma":[0.0003086366,0.00007466144,0.00008905637,0.0007346913,0.00004530434,0.0002913998,0.0002554882,0.0001853399,0.00001751789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004686501,"about_ca_system_score_gemma":0.00001433934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001042757,"about_ca_topic_score_gemma":9.860214e-7,"domain_scores_codex":[0.9970049,0.0001823603,0.001399193,0.0001927484,0.0009164879,0.0003043452],"domain_scores_gemma":[0.9966492,0.0009725431,0.001499402,0.0004088085,0.0003662095,0.0001038336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001994505,0.0001154646,0.2364353,0.00005549041,0.0002920582,0.00009934938,0.000632055,0.0350758,0.0001146399,0.09249305,0.09172507,0.5427623],"study_design_scores_gemma":[0.002872,0.0003724585,0.6928956,0.008039637,0.0001145329,0.0006627136,0.001755678,0.01178523,0.000003201716,0.02878327,0.2520642,0.0006514967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1076954,0.00236641,0.8770061,0.001330074,0.003024374,0.0002664684,9.247307e-7,0.000021536,0.008288746],"genre_scores_gemma":[0.9867491,0.0001916468,0.008889902,0.0003483127,0.001606011,0.000004582481,4.123198e-7,0.00001201803,0.00219807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8790537,"threshold_uncertainty_score":0.3392037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113554969","doi":"10.1023/a:1009438422110","title":"An Agent Model for the Resolution of Feature Conflicts in Telephony","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mitel (Canada); CARE Canada; University of Ottawa","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0315809324451386,"gpt":0.2620920244758899,"spread":0.2305110920307513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372262,0.00008202767,0.000203567,0.0000715917,0.00008056588,0.00008194569,0.0003105261,0.00004168597,0.000001231217],"category_scores_gemma":[0.000002406975,0.00005253137,0.00005716411,0.0001435861,0.0000108086,0.0002230533,0.00002434653,0.00007105449,4.564509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003540021,"about_ca_system_score_gemma":0.000009851152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002704659,"about_ca_topic_score_gemma":0.00001367636,"domain_scores_codex":[0.998915,0.0000969835,0.0004567024,0.0001208469,0.0002557244,0.0001547618],"domain_scores_gemma":[0.9992587,0.00004849871,0.0003513754,0.0002281106,0.00006539257,0.00004793698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005073175,0.00005124028,0.0004384249,0.0001166431,0.00005815695,0.000007141004,0.001108515,0.9642586,0.00002836648,0.007770876,0.007680946,0.01843042],"study_design_scores_gemma":[0.0005735175,0.00009925058,0.008796626,0.0001968149,0.00001800007,0.00001389924,0.00009498052,0.9702454,0.000001731973,0.0001384702,0.01976575,0.00005554469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07272954,0.004650462,0.9197866,0.0005882682,0.0008392299,0.0009098254,0.000001669196,0.00001019398,0.0004842047],"genre_scores_gemma":[0.9941379,0.0007280353,0.003741598,0.0000719691,0.0002623545,0.00001359182,6.367972e-7,0.000004809796,0.00103913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9214084,"threshold_uncertainty_score":0.2142167,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396616851","doi":"10.1007/s10922-024-09819-7","title":"Building a Comprehensive Intent-Based Networking Framework: A Practical Approach from Design Concepts to Implementation","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Software engineering; Engineering management","retraction":null,"screen_n_in":null,"score":{"opus":0.06953257809208034,"gpt":0.3581179087667781,"spread":0.2885853306746977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00122225,0.0002312237,0.0004176105,0.0001988068,0.0001590518,0.001101786,0.0003925144,0.00008307329,0.000004422108],"category_scores_gemma":[0.00001418213,0.0001890054,0.0001200618,0.0006782847,0.00002375329,0.0003679475,0.0002557072,0.0003566545,0.000004907178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179186,"about_ca_system_score_gemma":0.00005493434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000275633,"about_ca_topic_score_gemma":8.557383e-7,"domain_scores_codex":[0.99748,0.0003676333,0.0007518039,0.0004095369,0.0005419269,0.0004490544],"domain_scores_gemma":[0.9980538,0.0009839708,0.0003279085,0.000275941,0.0001359694,0.0002224005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001384988,0.00008243277,0.0007665191,0.0002039397,0.0008985494,0.0008030632,0.001088891,0.5740561,0.00001781864,0.1152876,0.0782119,0.2284447],"study_design_scores_gemma":[0.0005900341,0.0003689642,0.0006692387,0.002075775,0.0001601967,0.0001225549,0.0007448568,0.90403,0.000004016793,0.004629349,0.08628876,0.0003162373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001831501,0.007690483,0.985402,0.0008258635,0.003518156,0.0005710113,0.000001063374,0.00008707504,0.00007286428],"genre_scores_gemma":[0.5096771,0.0001720725,0.4876869,0.0006906746,0.001710276,0.00003025641,0.000001773822,0.00001857824,0.00001242314],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5078456,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089047980","doi":"10.1007/s10922-012-9250-4","title":"A MPLS/LDP Distributed Architecture for Next Generation Routers","year":2012,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Scalability; Computer network; Multiprotocol Label Switching; Exploit; Software-defined networking; Distributed computing; Embedded system; Quality of service; Operating system; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.02765303509373946,"gpt":0.2294048117911644,"spread":0.2017517766974249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022504,0.0001210182,0.0002208793,0.0000583447,0.00005882221,0.0000617585,0.0000983952,0.00006078297,9.217225e-7],"category_scores_gemma":[0.000009311484,0.00009538107,0.00005780107,0.0001164086,0.00001758057,0.0001747921,0.00003347732,0.000125458,8.352208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056931,"about_ca_system_score_gemma":0.000001268521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.523402e-7,"about_ca_topic_score_gemma":6.623587e-7,"domain_scores_codex":[0.9991432,0.00001727244,0.0003439419,0.00006369546,0.0001210292,0.0003108768],"domain_scores_gemma":[0.9996277,0.00004861361,0.00010587,0.0001079088,0.00003129507,0.00007858784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001618337,0.00001188483,0.0002345449,0.0001698945,0.0001882689,0.000005909678,0.00004338453,0.9346088,0.00008572832,0.006820711,0.0302782,0.02753648],"study_design_scores_gemma":[0.00117126,0.0002322283,0.001308886,0.0004008425,0.0002303947,0.0001368826,0.000623075,0.5001966,0.00001886321,0.00179018,0.4934527,0.0004380882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03099784,0.009101888,0.9574108,0.0001415627,0.001690115,0.0003432824,0.000003703263,0.00008771913,0.0002231341],"genre_scores_gemma":[0.9587669,0.000781914,0.0383996,0.0000326055,0.001919809,0.00002675533,0.000007272113,0.00002114379,0.00004401611],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9277691,"threshold_uncertainty_score":0.3889527,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064126416","doi":"10.1007/s10922-011-9212-2","title":"Forward-Looking WDM Network Reconfiguration with Per-Link Congestion Control","year":2011,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Communications Research Centre Canada","funders":"","keywords":"Computer science; Control reconfiguration; Computer network; Wavelength-division multiplexing; Network congestion; Multiplexing; Resource (disambiguation); Session (web analytics); Distributed computing; Resource allocation; Telecommunications; Wavelength","retraction":null,"screen_n_in":null,"score":{"opus":0.01233547942118146,"gpt":0.1922094925447508,"spread":0.1798740131235693,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005292961,0.0001865839,0.0003760396,0.00007670486,0.00009302769,0.00006109368,0.0001387971,0.00009719627,0.000008533389],"category_scores_gemma":[0.000006708885,0.00014226,0.0000499223,0.0001594848,0.00004532189,0.0002309629,0.00002260748,0.0002557023,0.000003776804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006505094,"about_ca_system_score_gemma":0.000004070247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001310746,"about_ca_topic_score_gemma":0.000004845234,"domain_scores_codex":[0.9987328,0.00004321137,0.0005486754,0.0001265239,0.0002028836,0.0003458897],"domain_scores_gemma":[0.9993392,0.00006310191,0.0002598324,0.000166114,0.00009036496,0.00008135203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000119383,0.00000926617,0.00185169,0.0001323354,0.0003980313,0.00008360361,0.00006255774,0.946629,0.000006664525,0.01261692,0.002688427,0.03540206],"study_design_scores_gemma":[0.007596202,0.002845117,0.04024212,0.005637969,0.001503925,0.00104846,0.002457995,0.7945608,0.00001774883,0.01498157,0.1272708,0.001837264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03595611,0.01021727,0.9326403,0.0001810756,0.002326801,0.0008399329,0.00000104882,0.0003484069,0.01748907],"genre_scores_gemma":[0.9788322,0.001518874,0.01847503,0.00003816121,0.0009893395,0.00002002711,9.631394e-7,0.00003142457,0.00009399517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.942876,"threshold_uncertainty_score":0.5801193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388134157","doi":"10.1007/s10922-023-09781-w","title":"BoostSec: Adaptive Attack Detection for Vehicular Networks","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Automotive industry; Authentication (law); Wireless; Attack surface; Cloud computing; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02784286918782028,"gpt":0.2609326754857781,"spread":0.2330898062979578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008119078,0.00008780708,0.0001692186,0.0001200948,0.0002058229,0.0001323671,0.000236029,0.00004780184,4.243244e-7],"category_scores_gemma":[0.000002623166,0.00007403117,0.0000921932,0.0004563512,0.00001271021,0.0001653496,0.0001007355,0.00008842715,0.000003137303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003689483,"about_ca_system_score_gemma":0.000005230925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002405179,"about_ca_topic_score_gemma":0.000001233243,"domain_scores_codex":[0.9990984,0.00004321619,0.0003546931,0.0001499744,0.0001593854,0.0001943049],"domain_scores_gemma":[0.9992834,0.00005644912,0.000309014,0.0001768788,0.0001074618,0.00006675591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005900658,0.0000443642,0.0001505863,0.0001311371,0.000351825,0.00005284196,0.0001199319,0.5915686,0.00004397452,0.09375744,0.07857691,0.2351434],"study_design_scores_gemma":[0.0002384514,0.0002702042,0.001191104,0.00007817397,0.00002770134,0.00004665015,0.00009877505,0.8645829,0.00001106037,0.001338092,0.1320198,0.00009711284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002623076,0.0005873799,0.9950265,0.0002165873,0.0006448005,0.0004223791,3.73819e-7,0.00009518846,0.0003837601],"genre_scores_gemma":[0.9906938,0.0006228854,0.006977367,0.00007782421,0.0007070972,0.00009651553,6.315586e-7,0.000009929361,0.0008139568],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9880707,"threshold_uncertainty_score":0.3018903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2324293280","doi":"10.1007/s10922-016-9371-2","title":"Traffic Prediction for Reliable and Resilient Video Communications Over Multi-Location WMNs","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Communications Research Centre Canada","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Telecommunications; Real-time computing","retraction":null,"screen_n_in":null,"score":{"opus":0.03139244360404284,"gpt":0.2764086688515726,"spread":0.2450162252475297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001142747,0.0000885557,0.0001747162,0.00007011125,0.0001985714,0.0001579995,0.0003353545,0.000042657,4.760444e-7],"category_scores_gemma":[0.00000669784,0.00005791647,0.000037585,0.0001465653,0.00003015347,0.0003350981,0.0001477023,0.00005783639,6.355367e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004535031,"about_ca_system_score_gemma":0.00001339325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003163246,"about_ca_topic_score_gemma":0.000005073516,"domain_scores_codex":[0.9989799,0.00007591881,0.0004571155,0.0001488076,0.0001690808,0.0001691279],"domain_scores_gemma":[0.9989282,0.0001197723,0.0003582873,0.0003824965,0.0001314056,0.00007980323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002303611,0.0003606902,0.007474925,0.0008976193,0.0004891107,0.00001095684,0.0008199101,0.1893673,0.00006889848,0.1550404,0.2632342,0.3820056],"study_design_scores_gemma":[0.00208845,0.0003805699,0.01450578,0.001535891,0.00004861381,0.00003504598,0.00006707898,0.6875702,0.000001560309,0.0006672001,0.2929603,0.0001393943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003854298,0.003756047,0.9871829,0.001250375,0.0007170575,0.002974496,0.000001917306,0.00002919273,0.0002336939],"genre_scores_gemma":[0.96667,0.002825526,0.02813554,0.00009554392,0.0005346015,0.0006488767,0.000001075179,0.00001187443,0.001076942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9628157,"threshold_uncertainty_score":0.2361765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4360980626","doi":"10.1007/s10922-023-09729-0","title":"An Efficient Adaptive Meta Learning Model Based VNFs Affinity for Resource Prediction Optimization in Virtualized Networks","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Fusion mechanism; Classifier (UML); Artificial intelligence; Machine learning; Workload; Cloud computing; Resource allocation; Data mining; Distributed computing; Computer network; Fusion","retraction":null,"screen_n_in":null,"score":{"opus":0.03669970026092511,"gpt":0.2513512469493477,"spread":0.2146515466884226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003432998,0.0001816815,0.0004495079,0.0003065901,0.0002431516,0.0002322127,0.0003502888,0.00008966587,8.517158e-7],"category_scores_gemma":[0.00002296347,0.0001508105,0.0001395354,0.0008433187,0.00001741323,0.0002363823,0.0001065613,0.0002199223,3.951052e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000712117,"about_ca_system_score_gemma":0.00002083481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005251001,"about_ca_topic_score_gemma":0.000001921842,"domain_scores_codex":[0.9978638,0.0003716175,0.0006990575,0.0003101459,0.000384806,0.0003705467],"domain_scores_gemma":[0.9986776,0.0003031219,0.0005237882,0.0002456743,0.0001250626,0.0001247844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001351855,0.00006150112,0.0001806226,0.00003337398,0.0001708854,0.00001756744,0.0001431218,0.9910009,2.880984e-7,0.003794489,0.00240634,0.002055711],"study_design_scores_gemma":[0.001380483,0.0003797065,0.000362674,0.0001713557,0.000160663,0.000005461844,0.0001723229,0.9960579,1.523131e-7,0.0001531717,0.001021303,0.0001347721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002360177,0.0009114572,0.995303,0.0001073993,0.0005346693,0.000531736,0.000001497282,0.0001116404,0.0001384017],"genre_scores_gemma":[0.9550012,0.000275135,0.04383842,0.0001215297,0.0004719284,0.00008506586,0.00001443591,0.00002629222,0.0001659509],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9526411,"threshold_uncertainty_score":0.6149875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2052376255","doi":"10.1007/s10922-010-9166-9","title":"An Efficient and Secure Self-Healing Scheme for LKH","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University; Polytechnique Montréal","funders":"","keywords":"Computer science; Rekeying; Computer network; Secure multicast; Retransmission; Multicast; Scalability; Network packet; Overhead (engineering); Distributed computing; Key management; Encryption; Reliable multicast; Source-specific multicast; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.008577229245875355,"gpt":0.2411934321751774,"spread":0.232616202929302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001570525,0.0001552765,0.0003032285,0.0001080935,0.0002123331,0.000427007,0.0004501175,0.00009127113,7.42594e-7],"category_scores_gemma":[0.000006666365,0.0001291512,0.00006038647,0.0001702062,0.0000266248,0.0002052058,0.0001311189,0.0002796813,5.856784e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002160454,"about_ca_system_score_gemma":0.00001318355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003407239,"about_ca_topic_score_gemma":0.000003843646,"domain_scores_codex":[0.9985133,0.00007677187,0.0005022644,0.0002499554,0.0003187786,0.0003389558],"domain_scores_gemma":[0.9987871,0.0001188371,0.000403103,0.0003317943,0.000148516,0.0002106646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001066533,0.0004552951,0.003673287,0.001266694,0.0006928876,0.000255087,0.004300646,0.31639,0.0003112235,0.6263213,0.01517678,0.03105013],"study_design_scores_gemma":[0.0007038983,0.0002167224,0.000796391,0.0001689731,0.00003987208,0.0002250583,0.0002353028,0.9670284,0.000003565858,0.0006646001,0.02974415,0.0001730346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6050117,0.003282123,0.3847761,0.0005678053,0.005146075,0.0007232011,0.000001097038,0.00008383614,0.0004080556],"genre_scores_gemma":[0.9192322,0.0002247056,0.07886457,0.0001217329,0.001511523,0.000008337554,5.330131e-7,0.00001281451,0.00002360665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6506385,"threshold_uncertainty_score":0.5266634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1598054903","doi":"10.1023/a:1023775117166","title":"Managing It All—A Report on IM 2003","year":2003,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02291567219361504,"gpt":0.2400210439783427,"spread":0.2171053717847277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001516613,0.0001743344,0.000291099,0.0002710943,0.0001558607,0.0004173195,0.0001673801,0.00004053308,0.00006140694],"category_scores_gemma":[0.00004587946,0.0001374211,0.00007805179,0.0003670611,0.00002028425,0.0004640749,0.00006324726,0.0001367787,0.00004751832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004374408,"about_ca_system_score_gemma":0.000008809206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002971399,"about_ca_topic_score_gemma":0.000002898201,"domain_scores_codex":[0.9983267,0.00002180917,0.0006920039,0.0001848542,0.000502246,0.000272385],"domain_scores_gemma":[0.9985824,0.00002085347,0.0008226518,0.0001755416,0.0003759623,0.0000225508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008400771,0.0001059795,0.006235566,0.000396178,0.0004528681,0.002751655,0.00001917152,0.0239824,0.000003412793,0.6186674,0.343509,0.003792376],"study_design_scores_gemma":[0.0005660983,0.00002141759,0.003498339,0.0004463338,0.0001184025,0.0002637304,0.0002764675,0.003374261,3.854466e-7,0.003471963,0.9877794,0.0001832189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03666581,0.002407536,0.01340428,0.004980235,0.01341617,0.0007434086,6.834209e-7,0.0000547159,0.9283271],"genre_scores_gemma":[0.9829802,0.0003299798,0.0003047589,0.003644697,0.003663298,0.00001016066,0.000004837514,0.00003105463,0.009031005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9463144,"threshold_uncertainty_score":0.5603871,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1501122322","doi":"10.1023/a:1025798425019","title":"Policy 2003: Workshop on Policies for Distributed Systems and Networks","year":2003,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Access Control and Trust","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Conference Board of Canada","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02556663234511497,"gpt":0.3023808046439527,"spread":0.2768141722988377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001889973,0.0001509703,0.0003969178,0.0001264459,0.000578077,0.0004584112,0.0001557725,0.00009753039,0.000001887092],"category_scores_gemma":[0.0001392324,0.0001162706,0.00006284461,0.0004657909,0.00009263095,0.000157109,0.00002828542,0.0001275987,6.405913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008943037,"about_ca_system_score_gemma":0.00004881246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002039686,"about_ca_topic_score_gemma":0.00004611248,"domain_scores_codex":[0.998266,0.0002983178,0.0005051006,0.0001473392,0.0003241972,0.0004590027],"domain_scores_gemma":[0.9987758,0.0002220429,0.0004630163,0.0001141003,0.0002116864,0.0002132899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009358695,0.00004609185,0.002777213,0.0001102816,0.0003091853,0.00002255698,0.0004603181,0.08226071,1.055029e-7,0.856211,0.05226166,0.005447296],"study_design_scores_gemma":[0.001645405,0.000177942,0.002726116,0.0006603998,0.0001680921,0.00002518047,0.008553813,0.008306631,4.192968e-8,0.00161504,0.9758584,0.0002628729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04833008,0.1554061,0.5349365,0.01407098,0.02805417,0.01104203,0.000102741,0.0002441649,0.2078132],"genre_scores_gemma":[0.9890132,0.004789344,0.00007455461,0.0001748003,0.002914221,0.00003029384,0.000002371567,0.00001301289,0.002988226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9406831,"threshold_uncertainty_score":0.4741378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973208472","doi":"10.1007/s10922-009-9124-6","title":"Operations Research Methods for Autonomic Resource Management","year":2009,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Process management; Knowledge management; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.05098147810308135,"gpt":0.3659540075912512,"spread":0.3149725294881699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002850934,0.00009228291,0.000196901,0.000212957,0.0001669357,0.0001716793,0.0001469271,0.00003895125,0.000003043402],"category_scores_gemma":[0.000006722023,0.00008112132,0.00005402204,0.0002144102,0.00001216906,0.00007635784,0.00002345771,0.0001353524,0.000001969166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007805701,"about_ca_system_score_gemma":0.000004378617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.70498e-7,"about_ca_topic_score_gemma":2.635095e-7,"domain_scores_codex":[0.998935,0.0001240199,0.000441849,0.0001001604,0.0001610943,0.0002378247],"domain_scores_gemma":[0.9995738,0.00006928834,0.00004188687,0.0001401074,0.00008990878,0.0000850643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000105492,0.0000125435,0.000003005546,0.00006665069,0.0001272179,0.000006548353,0.00008420469,0.916407,0.000003187479,0.01197099,0.01084248,0.06046563],"study_design_scores_gemma":[0.000485248,0.0001003748,0.000206354,0.0001634013,0.00004909049,0.0000160889,0.0007123504,0.8599346,0.00000289284,0.0003884256,0.1378496,0.00009161799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001073822,0.005053638,0.9811777,0.0003433896,0.0008414732,0.0005038536,6.34012e-7,0.00004810924,0.01095738],"genre_scores_gemma":[0.08571305,0.001743565,0.9079465,0.000109267,0.001141553,0.0000375063,0.000003824593,0.00002840856,0.003276364],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1270071,"threshold_uncertainty_score":0.3308032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404703952","doi":"10.1007/s10922-024-09879-9","title":"A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scheme (mathematics); Joint (building); Authentication (law); Computer security; Secret sharing; Computer network; Privacy protection; Internet privacy; Cryptography","retraction":null,"screen_n_in":null,"score":{"opus":0.02090611056495807,"gpt":0.2562082662494775,"spread":0.2353021556845195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813266,0.0001212196,0.0002329032,0.0001978433,0.0001358096,0.0006586021,0.0004294157,0.00003639838,7.446603e-7],"category_scores_gemma":[0.00001695901,0.00009609792,0.00006093975,0.0003780562,0.00002695224,0.000542142,0.000625505,0.000166198,5.042356e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003227768,"about_ca_system_score_gemma":0.000008434803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002268053,"about_ca_topic_score_gemma":3.101536e-7,"domain_scores_codex":[0.998702,0.00007363407,0.0004884246,0.0002519992,0.0002776141,0.0002063506],"domain_scores_gemma":[0.9992356,0.00005473789,0.0002239438,0.0003277804,0.0000766699,0.00008130437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002032701,0.0001667527,0.04262868,0.008782567,0.002172835,0.002355654,0.00729632,0.008146923,0.001427145,0.8005114,0.06088717,0.06542125],"study_design_scores_gemma":[0.0006792628,0.0003286107,0.04099064,0.006191439,0.00007780945,0.0007436143,0.000202472,0.7406223,0.00005770992,0.06893791,0.1405232,0.0006451145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06481181,0.0201263,0.9120349,0.0008339487,0.001190589,0.00027341,5.33273e-7,0.0001562653,0.0005722276],"genre_scores_gemma":[0.9715384,0.00161836,0.02622692,0.00003297855,0.0002917133,0.000003850779,3.269343e-7,0.000009508937,0.0002779693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9067265,"threshold_uncertainty_score":0.6350915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385783183","doi":"10.1007/s10922-023-09756-x","title":"High-Precision, Predictable and Low-Latency Networking","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Latency (audio); Low latency (capital markets); Computer network; Telecommunications; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01353395287412288,"gpt":0.2164056386798206,"spread":0.2028716858056978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00181792,0.0001720764,0.0003883491,0.0001905856,0.0002379259,0.0004187989,0.000440152,0.00006855078,0.000002135313],"category_scores_gemma":[0.000009893269,0.000132966,0.00006212014,0.0007979296,0.00002521495,0.0003621822,0.0004823773,0.0001747429,0.000008159436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002573065,"about_ca_system_score_gemma":0.0000132164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001123538,"about_ca_topic_score_gemma":0.000001253429,"domain_scores_codex":[0.9980565,0.0001125062,0.0006681193,0.0002697862,0.0004518182,0.0004412107],"domain_scores_gemma":[0.9988205,0.0002081925,0.000406012,0.0002984869,0.00009064446,0.000176165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006132929,0.00005879268,0.0176074,0.0003693792,0.0004785107,0.0009794368,0.0004683257,0.3379238,0.000004506563,0.04752693,0.383522,0.2109997],"study_design_scores_gemma":[0.002383136,0.0006010787,0.06251328,0.003129861,0.0001461568,0.0004501011,0.0002865525,0.7449294,9.362959e-7,0.02270527,0.1622256,0.0006285894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.221044,0.05016771,0.6951457,0.002032433,0.02673141,0.001196862,0.000002480386,0.0005719334,0.003107546],"genre_scores_gemma":[0.9792117,0.01152093,0.004958934,0.0001907147,0.002886474,0.00001165929,0.000001618499,0.00002255354,0.001195372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7581678,"threshold_uncertainty_score":0.5422195,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}