{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":199,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":199,"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":"d5c1bdad51d5","filters":{"venue":"Computer Networks"}},"results":[{"id":"W2083719968","doi":"10.1016/j.comnet.2011.05.010","title":"Routing protocols in ad hoc networks: A survey","year":2011,"lang":"en","type":"article","venue":"Computer Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":535,"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; Computer network; Wireless ad hoc network; Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Routing protocol; Distributed computing; Mobile ad hoc network; Ad hoc wireless distribution service; Wireless Routing Protocol; Link-state routing protocol; Vehicular ad hoc network; Wireless; Routing (electronic design automation); Telecommunications; Network packet","retraction":null,"screen_n_in":null,"score":{"opus":0.05050942116015256,"gpt":0.2641481605096089,"spread":0.2136387393494563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002158511,0.0004983675,0.0006228474,0.0001755889,0.0001671504,0.0003615,0.00291143,0.0003502345,0.00004013954],"category_scores_gemma":[0.00002440164,0.0005003495,0.0001543676,0.001664559,0.00009660303,0.0007537184,0.00159094,0.0009152106,0.0000538268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218322,"about_ca_system_score_gemma":0.00008590084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006955867,"about_ca_topic_score_gemma":0.0004320413,"domain_scores_codex":[0.9954059,0.0007524143,0.0009047232,0.001216345,0.0003502628,0.001370387],"domain_scores_gemma":[0.9970049,0.0004387374,0.0003305686,0.001772378,0.000151697,0.0003017657],"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":[0.00009921059,0.000390717,0.0674829,0.00001809682,0.0000564648,0.0002793898,0.001170022,0.2457992,4.889413e-7,0.006304508,0.01008706,0.668312],"study_design_scores_gemma":[0.0007027924,0.0002047718,0.126288,0.0002226845,0.000002996237,0.00002618816,0.000002439706,0.8696734,0.000002356628,0.0004069872,0.001965677,0.0005016826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00134362,0.0007954974,0.9889573,0.00002718627,0.001329724,0.00603797,7.945192e-7,0.0005105349,0.0009973875],"genre_scores_gemma":[0.8385581,0.0001419366,0.1533936,0.001412729,0.001359892,0.004885551,0.00002521539,0.0001050584,0.0001179274],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8372145,"threshold_uncertainty_score":0.9997448,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158051955","doi":"10.1016/j.comnet.2014.07.004","title":"Software defined networking: State of the art and research challenges","year":2014,"lang":"en","type":"article","venue":"Computer Networks","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":344,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Optech (Canada); Western University","funders":"","keywords":"Computer science; Software-defined networking; Scalability; Networking hardware; Computer network; Pace; Network service; The Internet; Network virtualization; Virtualization; Cloud computing; Distributed computing; Computer security; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.04089839266182477,"gpt":0.2596435613589927,"spread":0.218745168697168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705281,0.000236405,0.0003469553,0.0001056857,0.0003322965,0.0001949774,0.001548325,0.0001275815,0.000002330077],"category_scores_gemma":[0.00005329711,0.0001725919,0.0001066282,0.0007325524,0.0002574929,0.0001808055,0.001855603,0.0005840262,0.00001184966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002252999,"about_ca_system_score_gemma":0.00003989422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005756387,"about_ca_topic_score_gemma":0.00002014981,"domain_scores_codex":[0.9972116,0.0005450332,0.0003743779,0.0006416778,0.0005091671,0.0007181182],"domain_scores_gemma":[0.9966574,0.001538512,0.0001573041,0.001262604,0.0002242843,0.000159881],"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":[0.000009762105,0.00004056226,0.002138309,0.00002791815,0.00002870996,0.000003121988,0.000421395,0.03605225,7.60074e-7,0.01261471,0.02164896,0.9270136],"study_design_scores_gemma":[0.0004061707,0.0002011732,0.02088082,0.0002174589,0.000006570679,0.00002316209,0.000002808067,0.8754703,0.00001016169,0.02104416,0.08147651,0.0002606432],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003744549,0.005858129,0.9859585,0.00150365,0.0018944,0.0002593933,5.631036e-7,0.0002240064,0.0005567629],"genre_scores_gemma":[0.9142049,0.002316467,0.07986024,0.001033695,0.00222681,0.00003444925,0.000003696053,0.00005512899,0.0002645869],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9267529,"threshold_uncertainty_score":0.7038093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901492899","doi":"10.1016/j.comnet.2018.11.010","title":"Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection","year":2018,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":304,"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; Dimensionality reduction; Artificial intelligence; Pattern recognition (psychology); Intrusion detection system; Principal component analysis; Support vector machine; Classifier (UML); Anomaly detection; False positive rate; Data mining; Machine learning; Constant false alarm rate; Multilayer perceptron; Curse of dimensionality; Artificial neural network","retraction":null,"screen_n_in":null,"score":{"opus":0.01315722400387469,"gpt":0.2222964383563407,"spread":0.209139214352466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785794,0.0002529994,0.0002531438,0.00008480128,0.0009581766,0.0002612675,0.0002978283,0.0002201139,0.000007211177],"category_scores_gemma":[0.000006843744,0.0002170932,0.00006835232,0.0005823805,0.0001814499,0.0006026601,0.0003400221,0.0002745382,0.00001037312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005999195,"about_ca_system_score_gemma":0.00002894982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001223811,"about_ca_topic_score_gemma":0.00005573164,"domain_scores_codex":[0.9980397,0.0001400016,0.0003174565,0.0007722497,0.0002317641,0.0004988894],"domain_scores_gemma":[0.9986951,0.0001433008,0.0001789917,0.0005274612,0.0002957096,0.0001593798],"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":[0.0004620009,0.00008126692,0.00008080619,0.00002399023,0.00006535537,0.00000398966,0.0002380915,0.01801219,0.0004757826,0.01680891,0.02065756,0.9430901],"study_design_scores_gemma":[0.0006139542,0.001197117,0.001366871,0.00008666187,0.00001880571,0.000138625,0.000004499464,0.9577798,0.0008762987,0.008582125,0.02902102,0.0003142171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03746076,0.0002375548,0.9571406,0.0003424342,0.003822015,0.0004585599,4.630532e-7,0.0002985257,0.0002390397],"genre_scores_gemma":[0.8996146,0.00006809858,0.09277508,0.0006789374,0.006713436,0.0000454628,0.000007605682,0.00002411243,0.00007268225],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9427758,"threshold_uncertainty_score":0.8852803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3163488673","doi":"10.1016/j.comnet.2021.108177","title":"Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":261,"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":"Engineering and Physical Sciences Research Council; CHIST-ERA; Agence Nationale de la Recherche","keywords":"Computer science; Cloud computing; Task (project management); Distributed computing; Edge computing; Enhanced Data Rates for GSM Evolution; Resource (disambiguation); Control (management); Edge device; Artificial intelligence; Computer network; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0464797725787055,"gpt":0.2598257109771863,"spread":0.2133459383984808,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00192845,0.000262284,0.0004236385,0.0001356264,0.0003525568,0.0005189654,0.000442997,0.0001383214,0.000002143868],"category_scores_gemma":[0.000117067,0.0002622505,0.00005902314,0.0005834945,0.0001500922,0.0001576363,0.0008455552,0.0004667522,0.00001582336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004133375,"about_ca_system_score_gemma":0.00006489817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009992282,"about_ca_topic_score_gemma":0.00001124701,"domain_scores_codex":[0.9973195,0.0006289387,0.0005203251,0.0007088621,0.0001775697,0.0006447834],"domain_scores_gemma":[0.9968166,0.002329173,0.0001113488,0.0004645496,0.0001072736,0.0001709916],"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":[0.00005452299,0.000432799,0.0029175,0.00006324,0.00008638094,0.0002211904,0.002916303,0.03778029,0.00003772945,0.2035059,0.004530945,0.7474532],"study_design_scores_gemma":[0.000194438,0.00007883414,0.008546939,0.0002036684,0.000007361888,0.00005797529,0.00001241495,0.9548915,0.00002353169,0.03551852,0.0001842154,0.0002805729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03053096,0.0007642595,0.9626874,0.000309496,0.005273755,0.0001740954,6.61526e-7,0.0001232653,0.0001360627],"genre_scores_gemma":[0.9735999,0.00003127587,0.02264126,0.0008313592,0.002853491,0.00000321861,0.000006673383,0.00001875872,0.00001410762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9430689,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032667132","doi":"10.1016/s1389-1286(00)00206-1","title":"A control theoretic approach to active queue management","year":2001,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":235,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer science; Active queue management; Computer network; Random early detection; Queue; Router; Traffic intensity; Network packet; Queue management system; Distributed computing; Network congestion","retraction":null,"screen_n_in":null,"score":{"opus":0.006530364747959269,"gpt":0.1969023178851752,"spread":0.1903719531372159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002906722,0.0002780043,0.000306311,0.0001235106,0.000171758,0.0002716189,0.001363132,0.00009748639,0.00001308458],"category_scores_gemma":[0.000002302265,0.0002525044,0.0001227483,0.0006612778,0.00004983973,0.0002208029,0.0003471279,0.0002439761,0.0001163404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005996531,"about_ca_system_score_gemma":0.00001567068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002811795,"about_ca_topic_score_gemma":0.000001199013,"domain_scores_codex":[0.9979204,0.0001627515,0.0002808478,0.0007276008,0.0002747,0.0006337283],"domain_scores_gemma":[0.9986088,0.0001350401,0.00007839895,0.0008154524,0.00007549702,0.0002867755],"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":[0.00003517299,0.00008150413,0.00003917796,0.000002998785,0.00006244642,0.00003414153,0.00009788043,0.2321561,1.36259e-7,0.2323378,0.005669198,0.5294835],"study_design_scores_gemma":[0.001086454,0.00009466722,0.001071009,0.00002956695,0.00002227468,0.00004907661,0.000007862543,0.9738289,4.557874e-7,0.001460903,0.02204709,0.0003017269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00049175,0.000152651,0.9765111,0.001003913,0.001039311,0.0006990068,6.157753e-7,0.0004768936,0.01962476],"genre_scores_gemma":[0.9297339,0.00004109612,0.06272089,0.005917655,0.001018843,0.0001568149,0.000003824189,0.00002025501,0.0003867516],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9292421,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3120131065","doi":"10.1016/j.comnet.2021.107819","title":"SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":184,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Botnet; Computer security; Scalability; Anomaly detection; Single point of failure; The Internet; Artificial intelligence; Computer network; Database; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01311543388685605,"gpt":0.2389738888592537,"spread":0.2258584549723976,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095133,0.000230435,0.0003007699,0.00005177875,0.000380697,0.0003137533,0.001822699,0.0003953609,0.000009995083],"category_scores_gemma":[0.00005249755,0.0002124989,0.0001685717,0.0006850656,0.00006408801,0.0001941332,0.001720798,0.0004282524,0.00001030108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003642157,"about_ca_system_score_gemma":0.00005135095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003417333,"about_ca_topic_score_gemma":0.00001023812,"domain_scores_codex":[0.9981949,0.0000807826,0.0003242053,0.0007164054,0.0001542668,0.0005294039],"domain_scores_gemma":[0.9979464,0.0003357482,0.000129093,0.001233632,0.0002383831,0.0001167386],"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":[0.00001806717,0.0002445199,0.0003858259,0.0000393855,0.0001277416,0.00002968148,0.0007075376,0.00530786,0.0001417547,0.84872,0.05365742,0.09062027],"study_design_scores_gemma":[0.0005304039,0.0000738634,0.003111531,0.0000733847,0.00001507282,0.00004898513,0.00001947299,0.8306251,0.0007483406,0.1380901,0.02628928,0.0003745602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02694796,0.0007830277,0.9632362,0.006617836,0.001370862,0.0003791922,0.000003537909,0.0005863184,0.00007513387],"genre_scores_gemma":[0.4852068,0.00003259651,0.5125522,0.0008594331,0.001139872,0.0001257244,0.00003185235,0.00001420094,0.00003731123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8253172,"threshold_uncertainty_score":0.8665453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032510935","doi":"10.1016/j.comnet.2007.11.016","title":"Research on multicast routing protocols for mobile ad-hoc networks","year":2007,"lang":"en","type":"article","venue":"Computer Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":162,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer network; Computer science; Protocol Independent Multicast; Multicast; Distributed computing; Distance Vector Multicast Routing Protocol; Xcast; Source-specific multicast","retraction":null,"screen_n_in":null,"score":{"opus":0.0670637926794713,"gpt":0.3811164180693922,"spread":0.314052625389921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006570946,0.0005448548,0.0006038358,0.0003332282,0.000868586,0.0008291778,0.0031115,0.0005308949,0.00001717517],"category_scores_gemma":[0.00003896048,0.0005259447,0.0002936982,0.001718782,0.0002128879,0.0004671149,0.001480001,0.001646878,0.00007171117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002889539,"about_ca_system_score_gemma":0.00009367018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003085414,"about_ca_topic_score_gemma":0.0000229317,"domain_scores_codex":[0.9933915,0.0003911553,0.0009968779,0.001668267,0.000890601,0.002661565],"domain_scores_gemma":[0.9927406,0.003572099,0.0002796572,0.002222838,0.0006184608,0.0005663203],"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":[0.0001228544,0.0002045114,0.0001039036,0.00001761375,0.00003066897,0.00004903724,0.0001550008,0.4006806,0.000002568075,0.0113251,0.01603776,0.5712704],"study_design_scores_gemma":[0.001193422,0.001384047,0.0007043254,0.0003288122,0.000005300513,0.00002250564,0.00002049451,0.898508,0.00003379245,0.0004005713,0.09688662,0.0005121813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006195896,0.0007651858,0.9743175,0.0001152001,0.001791895,0.02083864,0.000001493732,0.0006705461,0.0008799521],"genre_scores_gemma":[0.6185694,0.0001125117,0.3417641,0.002106614,0.01050744,0.02614414,0.00003933087,0.0002324243,0.0005240442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6325534,"threshold_uncertainty_score":0.9997192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2887555757","doi":"10.1016/j.comnet.2018.08.001","title":"Sensing, communication and security planes: A new challenge for a smart city system design","year":2018,"lang":"en","type":"article","venue":"Computer Networks","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":126,"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; National Science Foundation","keywords":"Computer science; Smart city; Smart objects; Smart environment; Computer security; Robustness (evolution); Resilience (materials science); Smart system; Telecommunications; Internet of Things","retraction":null,"screen_n_in":null,"score":{"opus":0.03000189101999992,"gpt":0.2364978448728479,"spread":0.2064959538528479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011145,0.0001642337,0.0002109936,0.00002855428,0.0001529158,0.00009537565,0.0001533416,0.0001603413,0.000004656073],"category_scores_gemma":[0.000001744636,0.0001654424,0.00003653138,0.00007368973,0.0000420983,0.0000700616,0.00007169699,0.0001614486,0.000005235794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003546246,"about_ca_system_score_gemma":0.0000106203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002008754,"about_ca_topic_score_gemma":0.00003549015,"domain_scores_codex":[0.9992352,0.00006879783,0.0001931233,0.0001750599,0.00005713775,0.0002706967],"domain_scores_gemma":[0.9992678,0.0001916145,0.0000404476,0.000345722,0.00004984988,0.0001045475],"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":[0.0002323592,0.00004131164,0.0002292907,0.0007637871,0.0002667742,0.0000109816,0.003592789,0.1952303,0.000003912491,0.003969171,0.4175153,0.378144],"study_design_scores_gemma":[0.0004495158,0.0001336463,0.0000753957,0.0003061342,0.00001310812,0.00001826315,0.000006891034,0.967034,0.000008391941,0.0007297578,0.03104576,0.0001791804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005837529,0.001098727,0.993742,0.00004188737,0.0005075397,0.00289427,0.000001402578,0.0003899342,0.0007404287],"genre_scores_gemma":[0.9244034,0.0001182779,0.07129493,0.0001171601,0.00373039,0.000232824,0.00002267021,0.00005138669,0.00002897638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9238197,"threshold_uncertainty_score":0.6746545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114865559","doi":"10.1016/j.comnet.2012.01.023","title":"Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"Computer Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":121,"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; Routing (electronic design automation); Energy consumption; Function (biology); Algorithm; Energy (signal processing); Wireless sensor network; Efficient energy use; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.03350653402361728,"gpt":0.2335199611055037,"spread":0.2000134270818864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000999903,0.0004720871,0.0005528545,0.0001566269,0.0003288948,0.0001920241,0.0006844897,0.0003198821,0.000002809101],"category_scores_gemma":[0.000007111665,0.0004594492,0.0001636643,0.0005107145,0.0001147484,0.0004145285,0.0005016156,0.0002665891,6.299069e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008565,"about_ca_system_score_gemma":0.00005055948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135792,"about_ca_topic_score_gemma":0.000004806092,"domain_scores_codex":[0.9967628,0.0002109586,0.0007340377,0.0007685751,0.0003516957,0.001171966],"domain_scores_gemma":[0.9970984,0.000985036,0.0005180918,0.0007981989,0.0002688787,0.0003313562],"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":[0.00004101284,0.0001134815,0.0004667624,0.00001936111,0.00005127901,0.000001696098,0.00005056608,0.7429907,0.00004047094,0.003864449,0.0003455656,0.2520147],"study_design_scores_gemma":[0.001012236,0.0003711251,0.0005625204,0.0001402775,0.00004323391,0.000009826279,0.000009742211,0.9952303,0.0006516321,0.00001922817,0.00146514,0.00048478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001965915,0.0007310972,0.9934388,0.0000716896,0.002821892,0.0006554548,0.00000254482,0.00028785,0.00002479683],"genre_scores_gemma":[0.7943078,0.00005761516,0.2031406,0.0005696266,0.001671419,0.0001180074,0.00003724422,0.00005751737,0.00004023915],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7923418,"threshold_uncertainty_score":0.9997857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999382789","doi":"10.1016/j.comnet.2014.10.012","title":"DRIVE: An efficient and robust data dissemination protocol for highway and urban vehicular ad hoc networks","year":2014,"lang":"en","type":"article","venue":"Computer Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Dissemination; Vehicular ad hoc network; Computer network; Robustness (evolution); Wireless ad hoc network; Broadcast radiation; Distributed computing; Intelligent transportation system; Partition (number theory); Protocol (science); Overhead (engineering); Data aggregator; Wireless sensor network; Telecommunications; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.01475109641985792,"gpt":0.2499297123447126,"spread":0.2351786159248546,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006617067,0.000401485,0.0003887793,0.00007471855,0.000206123,0.0002960796,0.0004911632,0.000287625,0.000004856877],"category_scores_gemma":[0.00001017763,0.0003928507,0.00004667355,0.0001816814,0.00009169718,0.0002704548,0.0003810435,0.0003629778,0.000001480946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004501356,"about_ca_system_score_gemma":0.000007792458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.236439e-7,"about_ca_topic_score_gemma":0.00001248467,"domain_scores_codex":[0.9979364,0.0001058363,0.0003812339,0.0007510379,0.0001853386,0.0006401427],"domain_scores_gemma":[0.9982947,0.0002452045,0.0000879184,0.0009949424,0.0000735894,0.0003036694],"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":[0.00002269548,0.00003518588,0.0001806248,0.00008587899,0.0000388138,0.000003722088,0.0000619459,0.8696157,0.00000482294,0.0001226398,0.01989005,0.109938],"study_design_scores_gemma":[0.001001487,0.0001776242,0.001898043,0.0002269439,0.00004178281,0.00002173549,0.000003362914,0.9455705,0.000004185978,0.00001936966,0.05058545,0.0004495137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006926718,0.0008230174,0.9645209,0.00003928285,0.0005491722,0.02662736,0.000009084544,0.0004694377,0.00003502624],"genre_scores_gemma":[0.8325105,0.0001944907,0.1024941,0.0003881138,0.008269818,0.05377869,0.001796711,0.000490587,0.00007690457],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8620268,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313531834","doi":"10.1016/j.comnet.2022.109553","title":"Distributed denial of service attack prediction: Challenges, open issues and opportunities","year":2023,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":115,"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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Denial-of-service attack; Computer science; Application layer DDoS attack; Computer security; Trinoo; Cyber-attack; State (computer science); Service (business); The Internet; World Wide Web; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.09810496895091683,"gpt":0.2857606060819564,"spread":0.1876556371310395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140672,0.0001538839,0.000254337,0.00008948026,0.0001864826,0.0002422561,0.0009711563,0.0001279951,0.00001383114],"category_scores_gemma":[0.00000326317,0.000153743,0.0000376778,0.0005184588,0.00005400587,0.0006589161,0.001890921,0.0001691641,0.00001244861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001427728,"about_ca_system_score_gemma":0.00002615299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000035609,"about_ca_topic_score_gemma":0.00004839669,"domain_scores_codex":[0.998716,0.0001293047,0.0003031578,0.0003873942,0.0001951183,0.0002690373],"domain_scores_gemma":[0.9990469,0.0001084009,0.0001183369,0.0004643885,0.0001461268,0.0001158146],"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":[0.00005969248,0.0001049651,0.0001800432,0.0001420623,0.0001200649,0.00006712287,0.001977735,0.0489228,0.000006410519,0.04923058,0.1708986,0.72829],"study_design_scores_gemma":[0.0003149494,0.0001577277,0.003637659,0.00009622712,0.000006802458,0.00002856769,0.0000222101,0.8881891,0.00001351436,0.001275514,0.1061176,0.0001401384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02358213,0.005795035,0.9456816,0.01799933,0.004221581,0.0006499195,0.00003448476,0.001044656,0.0009912213],"genre_scores_gemma":[0.9322729,0.03515201,0.02104343,0.003809924,0.00641045,0.0001265898,0.0003914544,0.00007719263,0.0007160626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9246382,"threshold_uncertainty_score":0.6269457,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088531720","doi":"10.1016/s1389-1286(00)00186-9","title":"An end-to-end communication architecture for collaborative virtual environments","year":2001,"lang":"en","type":"article","venue":"Computer Networks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":85,"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; Architecture; Focus (optics); Protocol (science); Human–computer interaction; Collaborative virtual environment; Object (grammar); Virtual reality; Layer (electronics); Transmission (telecommunications); State (computer science); Distributed computing; Computer network; Telecommunications; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01226557417345119,"gpt":0.2367664737028837,"spread":0.2245008995294325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004872566,0.0003105798,0.0002750754,0.0001477483,0.0003404664,0.0004233496,0.002271793,0.000108241,0.00003174364],"category_scores_gemma":[0.000004386089,0.0003158953,0.00008567614,0.0006906565,0.00007289653,0.0003833784,0.0008373968,0.000238287,0.00004182947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566853,"about_ca_system_score_gemma":0.00003580545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008016676,"about_ca_topic_score_gemma":0.00003362503,"domain_scores_codex":[0.9976231,0.0003208006,0.0003645949,0.0007762328,0.000329274,0.0005860285],"domain_scores_gemma":[0.9973165,0.0002802139,0.0001618927,0.00189693,0.00005564968,0.0002887595],"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":[0.00002794113,0.00009789253,0.00008684828,0.000001998015,0.00003573944,0.000008271375,0.000371984,0.5957905,0.00001116816,0.01066424,0.01197998,0.3809234],"study_design_scores_gemma":[0.0005192335,0.0005528288,0.0008502521,0.00002651075,0.00001189598,0.000004995172,0.00001440301,0.7132286,0.00002091668,0.0005985203,0.2838808,0.0002910853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002924237,0.0002295134,0.9933103,0.0009991631,0.0006566618,0.00133824,0.000005848185,0.000205604,0.0003304706],"genre_scores_gemma":[0.6143001,0.0001443711,0.3775695,0.005964762,0.0009681511,0.0004773259,0.0001706752,0.00004993904,0.0003552326],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6157408,"threshold_uncertainty_score":0.9999293,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209237170","doi":"10.1016/j.comnet.2021.108567","title":"A survey on sleep mode techniques for ultra-dense networks in 5G and beyond","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Base station; Sleep mode; Computer science; Energy consumption; Carbon footprint; Sleep (system call); Efficient energy use; Mode (computer interface); Cellular network; Telecommunications; Power consumption; Computer network; Energy (signal processing); Power (physics); Electrical engineering; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.009876084007682475,"gpt":0.229342415917302,"spread":0.2194663319096195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001897424,0.0001846365,0.0002609688,0.00006505702,0.00003940537,0.00005444538,0.00008386317,0.0001747439,0.000001714876],"category_scores_gemma":[0.00001326228,0.0002085444,0.00003473065,0.0002348654,0.00001631468,0.00009650648,0.00002303153,0.0002055104,6.170714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005918141,"about_ca_system_score_gemma":0.000005873693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010848,"about_ca_topic_score_gemma":0.0002122481,"domain_scores_codex":[0.9990511,0.00006649767,0.0002620652,0.0002782897,0.0000516031,0.0002904742],"domain_scores_gemma":[0.9992927,0.0003020772,0.00003389775,0.0002417133,0.00006836314,0.00006125192],"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":[0.00001308575,0.00001349017,0.0006104874,0.00002033309,0.00001492103,0.000009706453,0.0000488069,0.9533176,0.00001244765,0.00008945708,0.002649727,0.04319996],"study_design_scores_gemma":[0.0003080697,0.00003759162,0.001514301,0.00009820876,0.000004523698,0.000007666034,0.00000289481,0.9972405,0.0001693536,0.00009552844,0.0003096841,0.0002116386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001469837,0.001300556,0.9956799,0.00001285736,0.0006015835,0.0003592476,0.000009351865,0.0002851856,0.0002815007],"genre_scores_gemma":[0.9547336,0.0003062479,0.04392262,0.0001769057,0.0005166521,0.00007140306,0.0001737019,0.0000696667,0.00002927183],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9532637,"threshold_uncertainty_score":0.8504192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2216734013","doi":"10.1016/j.comnet.2015.08.030","title":"Modeling of the resource allocation in cloud computing centers","year":2015,"lang":"en","type":"article","venue":"Computer Networks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":69,"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; Cloud computing; Job queue; Distributed computing; Variable (mathematics); Service (business); Task (project management); Constant (computer programming); Virtual machine; Poisson distribution; Resource allocation; Job scheduler; Computer network; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02296413607598541,"gpt":0.2258155228190719,"spread":0.2028513867430864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000880919,0.0001568116,0.0002068388,0.00009845066,0.00009124679,0.00008979687,0.001551456,0.00006728974,2.291824e-7],"category_scores_gemma":[0.00001303586,0.000122904,0.00009385568,0.0006876875,0.00004270354,0.00002857197,0.001620851,0.0002655206,0.000002514038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008727266,"about_ca_system_score_gemma":0.00003350946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008512485,"about_ca_topic_score_gemma":0.00001147249,"domain_scores_codex":[0.9982724,0.0002293476,0.0004317299,0.0003826196,0.0003357985,0.0003481419],"domain_scores_gemma":[0.9988559,0.0000741722,0.0001397095,0.0007657299,0.00007626008,0.00008818713],"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":[0.000003705091,0.00004048637,0.001298329,0.000007189714,0.00000906908,0.000002709175,0.001000182,0.9654214,5.275454e-7,0.002661224,0.001358204,0.02819693],"study_design_scores_gemma":[0.0004319107,0.0000311277,0.0007170947,0.0001683198,0.000003574137,0.000006381423,0.0000497571,0.9972213,0.000003885877,0.0002986102,0.0009351549,0.0001329078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1424718,0.0001850907,0.8543148,0.0007350639,0.001278988,0.0001681649,7.198764e-8,0.0001007744,0.0007452412],"genre_scores_gemma":[0.987065,0.000001230049,0.01182665,0.000560676,0.0004995377,0.000001479763,9.75339e-7,0.00001104699,0.00003345444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8445932,"threshold_uncertainty_score":0.501188,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387399999","doi":"10.1016/j.comnet.2023.110054","title":"A survey on network simulators, emulators, and testbeds used for research and education","year":2023,"lang":"en","type":"article","venue":"Computer Networks","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Office of Naval Research; U.S. Department of Energy; National Science Foundation","keywords":"Computer science; Scalability; Troubleshooting; Implementation; Scale (ratio); Data science; Software engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.08270804077577822,"gpt":0.3510697750143555,"spread":0.2683617342385773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002285117,0.0002513334,0.0003136785,0.0001896022,0.0005472184,0.0005571829,0.0005734413,0.0002058786,0.000001364351],"category_scores_gemma":[0.00007598924,0.0002387216,0.00004848848,0.001756249,0.0001109494,0.0002138918,0.0006502914,0.0003681968,0.00001235343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003907463,"about_ca_system_score_gemma":0.0001215836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003899846,"about_ca_topic_score_gemma":0.00003216433,"domain_scores_codex":[0.9973961,0.0002747086,0.0003072998,0.0008432364,0.0003200757,0.0008585667],"domain_scores_gemma":[0.9943389,0.004358161,0.00007986648,0.0006952542,0.000251845,0.00027601],"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":[0.00003964883,0.0001074477,0.09876434,0.00002876225,0.00004209459,0.000005842282,0.0002178552,0.1592332,4.856583e-7,0.02005756,0.4406063,0.2808964],"study_design_scores_gemma":[0.0003937678,0.0003723137,0.1677998,0.0001015154,0.000003387769,0.000003196937,0.000002166219,0.8130355,8.100616e-7,0.007949982,0.0101031,0.0002343932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.133667,0.002637282,0.8576248,0.0006764093,0.003415106,0.001125689,0.000007646468,0.0007940563,0.00005201682],"genre_scores_gemma":[0.9809095,0.0002047191,0.01476472,0.0007693192,0.002814939,0.00009491153,0.0001091557,0.00005508428,0.0002776961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8472425,"threshold_uncertainty_score":0.9734784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973097078","doi":"10.1016/s1389-1286(03)00247-0","title":"The formal semantics of SDL-2000: Status and perspectives","year":2003,"lang":"en","type":"article","venue":"Computer Networks","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Programming language; Compiler; Formal semantics (linguistics); Operational semantics; Semantics (computer science); Abstract machine; Unified Modeling Language; Formalism (music); Action semantics; Abstract state machines; Denotational semantics; Finite-state machine; Software","retraction":null,"screen_n_in":null,"score":{"opus":0.01983101959432985,"gpt":0.2525929267094473,"spread":0.2327619071151175,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006019835,0.0001009413,0.0001164293,0.00002834944,0.0001997783,0.0001198129,0.0003986146,0.0000527113,0.000002196939],"category_scores_gemma":[0.00003289839,0.00007515479,0.00003558492,0.0002482231,0.0001453461,0.0003578704,0.0002449551,0.0001429943,0.00000187779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953396,"about_ca_system_score_gemma":0.00003446181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004295122,"about_ca_topic_score_gemma":0.000002353024,"domain_scores_codex":[0.9989675,0.0001624311,0.0001991457,0.0002092652,0.0001371144,0.0003245631],"domain_scores_gemma":[0.9990913,0.0001796776,0.0001114467,0.0004755252,0.00007867181,0.00006339324],"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":[0.000005474697,0.00002666399,0.001901635,0.00000706838,0.00001923907,0.000001071948,0.002192543,0.008449438,0.000004159585,0.7606433,0.0005218411,0.2262275],"study_design_scores_gemma":[0.0001783265,0.00009378573,0.01369415,0.00001143398,0.00000456615,0.00001700508,0.00006331578,0.9737156,0.00008578575,0.003588252,0.008431747,0.0001160322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008491972,0.001579454,0.9882357,0.0000812654,0.0006156111,0.0001131504,2.118435e-7,0.00004627707,0.0008363262],"genre_scores_gemma":[0.4544074,0.0002966947,0.5451287,0.00005049043,0.00007256376,0.000003508923,2.43662e-7,0.000005682782,0.00003478604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9652662,"threshold_uncertainty_score":0.3064724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2225179220","doi":"10.1016/j.comnet.2015.12.016","title":"Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing","year":2016,"lang":"en","type":"article","venue":"Computer Networks","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Canada Foundation for Innovation","keywords":"Computer science; Flexibility (engineering); Cloud computing; Context (archaeology); Distributed computing; Computer-automated design; Engineering design process; Systems engineering; Domain (mathematical analysis); Systems design; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01991847911325641,"gpt":0.2129790833298958,"spread":0.1930606042166394,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659962,0.0001567148,0.0002397495,0.00007759647,0.00002224779,0.00002943663,0.0001209266,0.0001363221,0.000001342113],"category_scores_gemma":[0.000004085456,0.000144269,0.00004327343,0.0001429593,0.00003938184,0.0005830441,0.00004783506,0.0001284519,9.519055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661685,"about_ca_system_score_gemma":0.000008153126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008062424,"about_ca_topic_score_gemma":2.409498e-8,"domain_scores_codex":[0.9990689,0.00002315724,0.000453881,0.0001282515,0.0001242864,0.0002015894],"domain_scores_gemma":[0.9994861,0.0001753064,0.0001059432,0.0001283065,0.00006399116,0.00004034555],"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":[0.000005976923,0.000006246922,0.0009427344,0.0003768097,0.00006373165,0.000001522738,0.0004140486,0.9846892,0.00154182,0.002110195,0.00008522274,0.009762443],"study_design_scores_gemma":[0.0003171661,0.0000308671,0.0006013469,0.002581964,0.00001728974,0.00002022353,0.00005226153,0.9892149,0.006965999,0.00003054941,0.00001966813,0.0001477387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2371107,0.0002386887,0.7606611,0.000001410474,0.001548196,0.0001119117,0.000001723279,0.0001892989,0.0001369759],"genre_scores_gemma":[0.9660717,0.00001047064,0.03338823,0.000001453989,0.0004937981,0.000001810298,0.000001629857,0.00002847802,0.000002407206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.728961,"threshold_uncertainty_score":0.5883121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2407119330","doi":"10.1016/j.comnet.2016.05.013","title":"Energy-balanced cooperative transmission based on relay selection and power control in energy harvesting wireless sensor network","year":2016,"lang":"en","type":"article","venue":"Computer Networks","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":60,"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":"Central South University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Relay; Computer science; Wireless sensor network; Energy harvesting; Maximization; Energy (signal processing); Key distribution in wireless sensor networks; Residual; Computer network; Transmission (telecommunications); Wireless; Power (physics); Wireless network; Telecommunications; Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.004295571586985616,"gpt":0.1761290341282052,"spread":0.1718334625412195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002852122,0.0004807399,0.0005110528,0.0001392471,0.000158181,0.00009740894,0.0001899141,0.0003798421,0.0000177446],"category_scores_gemma":[0.000008774162,0.000391176,0.00007478421,0.0005042208,0.00007334384,0.000199391,0.0000310433,0.0003800362,0.000001751545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574604,"about_ca_system_score_gemma":0.00002753544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003452734,"about_ca_topic_score_gemma":0.0001115444,"domain_scores_codex":[0.99762,0.0002914272,0.0005069133,0.0005905095,0.0002072774,0.0007837972],"domain_scores_gemma":[0.9984294,0.0009169985,0.00008113502,0.0002764501,0.00007834584,0.0002176632],"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":[0.00008768769,0.00002630767,0.001605295,0.00000895476,0.00003237206,0.00002720453,0.00002488551,0.8903887,0.0003752901,0.0007229808,0.001129352,0.105571],"study_design_scores_gemma":[0.002038773,0.0001825798,0.001807247,0.001225624,0.00001263806,0.00001357276,0.000001323423,0.9907524,0.0001780927,0.00003059351,0.003240664,0.0005164843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0271095,0.0005025011,0.9703802,0.0001164484,0.0008429736,0.0001152685,0.000002265271,0.0005967113,0.0003340947],"genre_scores_gemma":[0.9911651,0.0002358405,0.006487447,0.0007485527,0.00108451,0.00004006572,0.00001245627,0.0001238585,0.0001021466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9640556,"threshold_uncertainty_score":0.999854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3087454209","doi":"10.1016/j.comnet.2020.107558","title":"IoT in medical & pharmaceutical: Designing lightweight RFID security protocols for ensuring supply chain integrity","year":2020,"lang":"en","type":"article","venue":"Computer Networks","topic":"RFID technology advancements","field":"Engineering","cited_by":59,"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; Vanier College","funders":"","keywords":"Computer science; Supply chain; Internet of Things; Protocol (science); Computer security; Blockchain; Data integrity; Cryptographic protocol; Embedded system; Cryptography; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.04033999035970266,"gpt":0.3116489067352946,"spread":0.2713089163755919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004255166,0.000277673,0.0003914731,0.00008698257,0.00006031986,0.00003734363,0.0005482374,0.0003872735,0.00006175091],"category_scores_gemma":[0.00007018174,0.0002923466,0.00007507225,0.0003486396,0.00006929286,0.00009177306,0.0002307119,0.001343716,0.00001688473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009740609,"about_ca_system_score_gemma":0.00002293827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001126652,"about_ca_topic_score_gemma":0.00001049495,"domain_scores_codex":[0.9982011,0.00006974414,0.0004679688,0.0004159946,0.0002217655,0.0006234379],"domain_scores_gemma":[0.9991791,0.0002307638,0.00004356585,0.0002559397,0.00003706092,0.0002535337],"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":[0.0004093533,0.0004469914,0.03948787,0.001659417,0.0004271407,0.0004021803,0.002375822,0.5520504,0.001295956,0.003400725,0.04332764,0.3547165],"study_design_scores_gemma":[0.001352776,0.00005673516,0.0002590541,0.0002807898,0.000007075636,0.000008999126,0.000002983607,0.9482168,0.002441023,0.000565793,0.04651584,0.000292111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02058873,0.0002949315,0.9703797,0.0009210517,0.0004478135,0.006291532,0.000004482625,0.0009967887,0.00007501711],"genre_scores_gemma":[0.9070629,0.00005010057,0.08499929,0.001143752,0.001283953,0.005334986,0.00002896234,0.00009181761,0.000004203389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8864742,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2799906449","doi":"10.1016/j.comnet.2018.05.001","title":"Greedy Caching: An optimized content placement strategy for information-centric networks","year":2018,"lang":"en","type":"article","venue":"Computer Networks","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":57,"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; Cache; Latency (audio); Information-centric networking; Computer network; The Internet; Internet topology; Network topology; Download; Greedy algorithm; Enhanced Data Rates for GSM Evolution; Distributed computing; Core network; Network performance; Operating system; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.04587971305208428,"gpt":0.2505047208130703,"spread":0.2046250077609861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006217895,0.0003203994,0.0003470833,0.0001681778,0.0004759514,0.0009149911,0.001173027,0.0001570891,0.00001065451],"category_scores_gemma":[0.00001048394,0.0002965086,0.0001759649,0.0003492042,0.00007288531,0.001571282,0.0004100475,0.0002856602,0.00002616997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009213931,"about_ca_system_score_gemma":0.00006811045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006613161,"about_ca_topic_score_gemma":0.0000133069,"domain_scores_codex":[0.9977914,0.0001305397,0.0005851728,0.000493079,0.0002855108,0.0007142674],"domain_scores_gemma":[0.9980611,0.0001760144,0.000252356,0.0008166017,0.0004077397,0.0002861394],"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":[0.000102535,0.00008491873,0.0001715985,0.000006843567,0.00006413751,0.000003851853,0.0002127901,0.8599954,0.000001418478,0.007074158,0.009288581,0.1229937],"study_design_scores_gemma":[0.002052875,0.0007690367,0.000667008,0.000039336,0.00001999766,0.00002093093,0.0000248908,0.9923669,0.000003102145,0.0000823624,0.003581818,0.0003717995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003951558,0.0002241506,0.9908155,0.0001640235,0.003405209,0.0006773134,0.000003771189,0.0004138158,0.0003446874],"genre_scores_gemma":[0.958793,0.0000340499,0.03575334,0.002786615,0.002330534,0.00006789328,0.0001045488,0.0000202978,0.0001097486],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9550622,"threshold_uncertainty_score":0.9999487,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124377129","doi":"10.1016/j.comnet.2008.09.012","title":"Mobility-aware clustering algorithms with interference constraints in wireless mesh networks","year":2008,"lang":"en","type":"article","venue":"Computer Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":56,"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; Computer network; Interference (communication); Throughput; Wireless mesh network; Distributed computing; Metric (unit); Wireless; Wireless network; Algorithm; Telecommunications; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.01769545533258732,"gpt":0.225574170565699,"spread":0.2078787152331117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000567833,0.0006404102,0.0007865519,0.0001984388,0.0002827039,0.0002761396,0.002392525,0.0003520285,0.00003609386],"category_scores_gemma":[0.000004530452,0.0005948859,0.0001389191,0.001294641,0.0005827674,0.0008031606,0.001460153,0.001219392,0.00001846718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995178,"about_ca_system_score_gemma":0.0001439725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004826905,"about_ca_topic_score_gemma":0.0001597611,"domain_scores_codex":[0.9955825,0.0003078105,0.0008302813,0.001495431,0.000443331,0.001340665],"domain_scores_gemma":[0.9971361,0.0004117024,0.0002667203,0.001619481,0.0001894221,0.0003765412],"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":[0.00005365119,0.0002411611,0.01143953,0.00002453965,0.00006317272,0.001058505,0.0006091741,0.7038715,0.000001298498,0.002255208,0.001517346,0.2788649],"study_design_scores_gemma":[0.001096863,0.0002872723,0.008572261,0.0003855446,0.00000683507,0.0006824613,0.00001482194,0.9881191,0.000007359676,0.00006516082,0.00007227866,0.0006900767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01438051,0.0001755619,0.9821677,0.00008130788,0.001557755,0.0007098938,0.00000142586,0.0005281835,0.0003976329],"genre_scores_gemma":[0.9547298,0.0001773127,0.04332232,0.0006779995,0.000856168,0.0001191272,0.00001625806,0.00005457987,0.00004641563],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9403493,"threshold_uncertainty_score":0.9996502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161381723","doi":"10.1016/j.comnet.2006.08.003","title":"Towards a classification of web service feature interactions","year":2006,"lang":"en","type":"article","venue":"Computer Networks","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Web service; Feature (linguistics); Benchmark (surveying); Scope (computer science); WS-Policy; Domain (mathematical analysis); Set (abstract data type); Service (business); Web modeling; Web standards; World Wide Web; Data mining; Web application security; Web development","retraction":null,"screen_n_in":null,"score":{"opus":0.01019402495724596,"gpt":0.2299238686659457,"spread":0.2197298437086998,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113765,0.0001950654,0.0002153088,0.0001506699,0.0001124788,0.0001314894,0.001117649,0.0001063642,0.00001035304],"category_scores_gemma":[6.603621e-7,0.0001750114,0.00009842071,0.001089797,0.00002151098,0.0003667083,0.0003742027,0.0002833688,0.0000200908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002690845,"about_ca_system_score_gemma":0.00005665962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001871732,"about_ca_topic_score_gemma":0.000662138,"domain_scores_codex":[0.9986951,0.00007820196,0.0002928804,0.0004200831,0.0002277367,0.0002860176],"domain_scores_gemma":[0.9986543,0.00009157034,0.0002000811,0.0007339336,0.0002493409,0.00007078951],"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":[0.00007160646,0.0008480159,0.00530711,0.0002908542,0.0002136042,0.00003630904,0.002795747,0.2314585,0.003983081,0.2280819,0.06247691,0.4644364],"study_design_scores_gemma":[0.0002677463,0.00003858539,0.02896252,0.00007067815,0.00001241533,0.00002653596,0.00001296293,0.9276674,0.0001773267,0.001396812,0.04118484,0.0001821568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01960472,0.0002935639,0.9682861,0.004519018,0.001487084,0.0001623888,0.000003127118,0.000283126,0.00536088],"genre_scores_gemma":[0.9226357,0.00001019306,0.07371595,0.002303762,0.001172848,0.00001545784,0.00004965004,0.00001568764,0.00008073224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.903031,"threshold_uncertainty_score":0.713676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2832811676","doi":"10.1016/j.comnet.2018.07.007","title":"SafePath: Differentially-private publishing of passenger trajectories in transportation systems","year":2018,"lang":"en","type":"article","venue":"Computer Networks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Zayed University; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Data publishing; Scalability; Trie; Differential privacy; Raw data; Data mining; Publishing; Dimension (graph theory); Big data; Data anonymization; Task (project management); Software; Data structure; Data science; Information privacy; Database; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.02309686286012122,"gpt":0.238829086481077,"spread":0.2157322236209558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005117829,0.0002157364,0.0003591878,0.0002459303,0.00007547154,0.0005193985,0.01402151,0.0002522854,0.000005155281],"category_scores_gemma":[0.0004653748,0.0002075209,0.00006429896,0.000926692,0.0001572096,0.001810701,0.006903582,0.0003796508,0.000003606101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005990508,"about_ca_system_score_gemma":0.000033313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001324237,"about_ca_topic_score_gemma":0.0001365737,"domain_scores_codex":[0.9979082,0.0001250089,0.0005988582,0.0005771698,0.0003348972,0.0004558279],"domain_scores_gemma":[0.9954019,0.0002121506,0.0002557925,0.003915515,0.0001537008,0.00006095387],"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":[0.0001129699,0.0006378277,0.1381301,0.0004459098,0.0002945982,0.0001987347,0.002852755,0.01881057,0.0009465465,0.1694193,0.244559,0.4235917],"study_design_scores_gemma":[0.0003540581,0.00009507027,0.06589216,0.0002016428,0.000005444707,0.000003686246,0.000008045167,0.9229584,0.0002916786,0.009183013,0.0007796882,0.0002271184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219771,0.000245178,0.8732623,0.0009567137,0.002830374,0.00019626,0.00000788265,0.0004498674,0.00007431248],"genre_scores_gemma":[0.884174,0.00004229576,0.1151926,0.00004981487,0.0004730168,0.00001438992,0.00003387345,0.00001532557,0.000004714416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9041478,"threshold_uncertainty_score":0.9913131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027945131","doi":"10.1016/j.comnet.2012.06.013","title":"A survey of peer-to-peer live video streaming schemes – An algorithmic perspective","year":2012,"lang":"en","type":"article","venue":"Computer Networks","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Network packet; Scalability; Peer-to-peer; Computer network; The Internet; BitTorrent; Multicast; Popularity; Live streaming; PlanetLab; Distributed computing; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.02979444732761806,"gpt":0.2894481785821249,"spread":0.2596537312545069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020774,0.0005194887,0.0006818525,0.0004616401,0.0001948901,0.0002873835,0.003246951,0.0003145212,0.00001538982],"category_scores_gemma":[0.000422204,0.0005204804,0.0001383078,0.002010409,0.000138376,0.001102092,0.002534692,0.0005950909,0.0001073614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618923,"about_ca_system_score_gemma":0.0001121678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005828383,"about_ca_topic_score_gemma":0.0001733327,"domain_scores_codex":[0.9956869,0.0003320869,0.0005760612,0.001046563,0.0009984636,0.001359907],"domain_scores_gemma":[0.9947546,0.0005184224,0.0002396145,0.001898456,0.001873151,0.0007157992],"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":[0.00006923872,0.0008820304,0.04565979,0.00002551681,0.0003796974,0.0000480453,0.01302323,0.06158471,0.00008048168,0.02035496,0.0941021,0.7637902],"study_design_scores_gemma":[0.0004739141,0.0006841004,0.1889907,0.0001346968,0.00002396154,0.00003811033,0.0002546376,0.8009071,0.0003007368,0.0006495618,0.00653229,0.001010113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06031357,0.0007207571,0.933742,0.001559809,0.001917282,0.0005679118,0.00001709622,0.0009118734,0.0002497396],"genre_scores_gemma":[0.710736,0.000007837335,0.2875467,0.0006091135,0.0008297121,0.00004046602,0.00002098149,0.00004149218,0.0001676493],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7627801,"threshold_uncertainty_score":0.9997247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200029245","doi":"10.1016/j.comnet.2021.108676","title":"A blockchain-based Fog-oriented lightweight framework for smart public vehicular transportation systems","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Seneca Polytechnic","funders":"University of Sharjah","keywords":"Computer science; Cloud computing; Intelligent transportation system; Vehicular ad hoc network; Blockchain; Smart city; Edge computing; Authentication (law); Computer network; Computer security; Distributed computing; Wireless ad hoc network; Telecommunications; Wireless; Internet of Things; Transport engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01218573298905413,"gpt":0.2244934033120049,"spread":0.2123076703229508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003366883,0.0002610753,0.0003527274,0.0001403756,0.0003780968,0.0002347845,0.0008814847,0.0004821932,0.000005514348],"category_scores_gemma":[0.00001948891,0.0002679693,0.0001998588,0.001180035,0.00007202203,0.00006244225,0.0000820341,0.0004129887,0.000007217566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005394603,"about_ca_system_score_gemma":0.0001389398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005359582,"about_ca_topic_score_gemma":0.00001462282,"domain_scores_codex":[0.9978228,0.0001004234,0.0004663001,0.0008263324,0.0002343615,0.0005498093],"domain_scores_gemma":[0.9975739,0.0003564759,0.0001840018,0.0012363,0.0004851764,0.0001641348],"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":[0.000005236311,0.0002210069,0.0006289211,0.00004359321,0.0000687983,0.00003421188,0.0001289496,0.04347035,0.000009237478,0.9378195,0.00201664,0.0155535],"study_design_scores_gemma":[0.0004734255,0.00006748341,0.0004287045,0.00007303735,0.00001926091,0.00001174691,0.000007457885,0.9337261,0.000198788,0.01075882,0.05395019,0.0002849379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01083499,0.001575248,0.9804584,0.004305348,0.0014671,0.0006013418,0.00001005835,0.0007246226,0.00002290904],"genre_scores_gemma":[0.7030066,0.00001080342,0.2950606,0.0009584197,0.0004215987,0.0003994858,0.0000952781,0.00002317624,0.00002408887],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9270607,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2282452766","doi":"10.1016/j.comnet.2016.01.015","title":"Multi-objective optimization in sensor networks: Optimization classification, applications and solution approaches","year":2016,"lang":"en","type":"article","venue":"Computer Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":51,"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":"Computer science; Wireless sensor network; Optimization problem; Mathematical optimization; Software deployment; Resource allocation; Engineering optimization; Multi-objective optimization; Distributed computing; Operations research; Machine learning; Computer network; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.02946203928961885,"gpt":0.2223362674008998,"spread":0.192874228111281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004264339,0.0003324897,0.0003055963,0.0002757809,0.0002647586,0.0002323029,0.0006186485,0.000304492,0.000004223834],"category_scores_gemma":[0.00001591475,0.0002848039,0.00006438189,0.001101097,0.0001676473,0.0007026525,0.0003567532,0.0002347512,0.000004835708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928177,"about_ca_system_score_gemma":0.00003576591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006923304,"about_ca_topic_score_gemma":0.00001572559,"domain_scores_codex":[0.9972975,0.000296248,0.0005572616,0.001050541,0.0002236627,0.0005748396],"domain_scores_gemma":[0.9982387,0.0003464448,0.0002929388,0.0007766674,0.000183117,0.0001621642],"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":[0.000008409716,0.0001183402,0.001032219,0.000004721413,0.00001514612,0.000001918095,0.00008963796,0.9345209,0.000007102065,0.003559316,0.0001237478,0.06051851],"study_design_scores_gemma":[0.0008463274,0.00003822132,0.003896944,0.00008529697,0.000009272606,0.00001580239,0.00001176201,0.9945649,0.000005696376,0.00001989001,0.0001363153,0.0003695894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000147095,0.0004532833,0.9970847,0.0006527065,0.0004440901,0.0007034204,0.000001331991,0.000394449,0.0001189034],"genre_scores_gemma":[0.2934556,0.0004591997,0.7051171,0.0001540185,0.0004793149,0.0001938512,0.00003582788,0.0000357169,0.00006934586],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2933085,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200169175","doi":"10.1016/j.comnet.2021.108666","title":"6Graph: A graph-theoretic approach to address pattern mining for Internet-wide IPv6 scanning","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China","keywords":"Computer science; IPv6; The Internet; Exploit; Cluster analysis; IPv6 address; Data mining; Graph; Hamming distance; Clustering coefficient; Address space; Theoretical computer science; Artificial intelligence; Computer network; Computer security; Algorithm; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01881201905651248,"gpt":0.2311219438891788,"spread":0.2123099248326664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004744698,0.0003133086,0.0003738159,0.0002189162,0.0002588179,0.0006211721,0.001124455,0.000179233,0.00001506505],"category_scores_gemma":[0.00002763914,0.0003271794,0.0002601163,0.001087206,0.00006066757,0.0003354102,0.0009482433,0.0003234172,0.00001108359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004326873,"about_ca_system_score_gemma":0.00003904904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001054574,"about_ca_topic_score_gemma":0.000013586,"domain_scores_codex":[0.9973871,0.0001840668,0.0004530265,0.0009998224,0.0002737159,0.0007023154],"domain_scores_gemma":[0.9982361,0.0003682135,0.0001388297,0.0007515649,0.0002326468,0.000272687],"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":[0.00004876558,0.0002647882,0.001310858,0.0001106643,0.0001580843,0.00005835456,0.003948259,0.1415175,0.00001597643,0.04258739,0.08255816,0.7274212],"study_design_scores_gemma":[0.0004712303,0.000180369,0.0005044815,0.0002368597,0.00001652749,0.00006954242,0.00002662596,0.982007,0.000225103,0.001819944,0.01401891,0.0004233904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007897673,0.0005779709,0.98657,0.0003377825,0.002886015,0.000409897,0.000001628619,0.0003203973,0.0009986489],"genre_scores_gemma":[0.8193258,0.00003466981,0.1740848,0.004828374,0.001358034,0.0001483921,0.00002875496,0.00004036209,0.0001507514],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8404895,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392246655","doi":"10.1016/j.comnet.2024.110294","title":"Zero-touch networks: Towards next-generation network automation","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"IoT and Edge/Fog Computing","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":"Ontario Tech University; Western University","funders":"","keywords":"Computer science; Zero (linguistics); Automation; Computer network; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.03595581639039572,"gpt":0.2483803113700906,"spread":0.2124244949796949,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007894168,0.0004519361,0.0003891875,0.0001838107,0.0005025862,0.00284159,0.001229531,0.0003075206,0.000008497918],"category_scores_gemma":[0.000008185299,0.0004371689,0.0002401086,0.001556449,0.00005294894,0.001429729,0.0008322183,0.0006163942,0.0001369574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571383,"about_ca_system_score_gemma":0.0001273524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515899,"about_ca_topic_score_gemma":0.000002263719,"domain_scores_codex":[0.9966319,0.0002196912,0.0006624453,0.001040292,0.0004108314,0.001034846],"domain_scores_gemma":[0.9984448,0.0002091267,0.000129675,0.0008530354,0.0001376545,0.0002257202],"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":[0.000001408375,0.00001347497,0.00003878946,0.00001327616,0.00003419602,0.00003426901,0.0001454483,0.3906427,0.000005354169,0.004377867,0.2216786,0.3830146],"study_design_scores_gemma":[0.000152656,0.00008790856,0.0004866326,0.0002082968,0.00001927122,0.00006383847,6.759392e-7,0.9394155,0.000009774319,0.001641981,0.05744314,0.0004703947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00122047,0.004336715,0.9151785,0.0006744539,0.07526772,0.0002980084,1.203983e-7,0.002177553,0.0008464073],"genre_scores_gemma":[0.6268972,0.0002857263,0.2408068,0.002618016,0.1286743,0.00005357403,0.0001357156,0.0001160514,0.0004125854],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6743717,"threshold_uncertainty_score":0.999808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965491280","doi":"10.1016/s1389-1286(03)00287-1","title":"Ecological interface design: a new approach for visualizing network management","year":2003,"lang":"en","type":"article","venue":"Computer Networks","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":48,"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; Network management; Interface (matter); Node (physics); Adaptation (eye); Key (lock); Visualization; Network monitoring; Network management station; Graphical user interface; User interface; Domain (mathematical analysis); Human–computer interaction; Network architecture; Data mining; Computer network; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.07964716269740527,"gpt":0.37372792562152,"spread":0.2940807629241147,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005688681,0.0002044162,0.0002496006,0.00005959405,0.000186907,0.0001016849,0.0002457837,0.0001699685,0.002399623],"category_scores_gemma":[0.000006574073,0.0001922846,0.0001368491,0.0001811095,0.00002816195,0.00006597956,0.00006777814,0.0002181887,0.0002488722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006201997,"about_ca_system_score_gemma":0.00001131664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001392397,"about_ca_topic_score_gemma":6.727572e-7,"domain_scores_codex":[0.9981951,0.0003603738,0.0003904075,0.0004781532,0.00009058882,0.0004854174],"domain_scores_gemma":[0.9990736,0.0002907303,0.0001263747,0.0003282304,0.00003912711,0.0001419896],"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":[0.00007763202,0.0001567938,0.00005870127,0.000008115379,0.0001533192,0.000005336919,0.0003214806,0.3467191,1.80562e-7,0.07033367,0.5497038,0.03246195],"study_design_scores_gemma":[0.00124604,0.0001676377,0.001121513,0.00002421555,0.00003402826,0.00003305541,0.00009515524,0.6262476,0.000001516968,0.001131518,0.3696312,0.0002665737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009228315,0.0001927508,0.9470468,0.00007140675,0.003513415,0.0007598784,3.742217e-7,0.0002374029,0.04808566],"genre_scores_gemma":[0.2904978,0.00002171236,0.6809593,0.003674581,0.002788911,0.0003528795,0.00003637838,0.00006669883,0.02160166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2904055,"threshold_uncertainty_score":0.9985123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321487091","doi":"10.1016/j.comnet.2023.109648","title":"Deep learning for encrypted traffic classification in the face of data drift: An empirical study","year":2023,"lang":"en","type":"article","venue":"Computer Networks","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":47,"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; Encryption; Traffic classification; Granularity; Artificial intelligence; Data mining; Machine learning; Deep learning; Quality of service; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.08433534082062956,"gpt":0.338235020470347,"spread":0.2538996796497174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891402,0.000142607,0.0002507401,0.0001432362,0.000134446,0.0001883903,0.002625177,0.0000784242,0.000001680401],"category_scores_gemma":[0.00002472069,0.0001072355,0.00006969444,0.00108486,0.00003113699,0.0003584603,0.0004092285,0.0003118909,0.000005676212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493361,"about_ca_system_score_gemma":0.00002015442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003198653,"about_ca_topic_score_gemma":0.0001118216,"domain_scores_codex":[0.9979066,0.0004565892,0.000449009,0.0006054179,0.00026983,0.0003125408],"domain_scores_gemma":[0.9984748,0.0005437838,0.0001576662,0.0007105513,0.00007071622,0.00004250888],"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":[0.000005288312,0.0001749441,0.001186805,0.000004372003,0.00002534505,0.000005627318,0.009449884,0.8471434,4.845638e-7,0.001320351,0.0009222035,0.1397613],"study_design_scores_gemma":[0.0003017068,0.0002477232,0.02148444,0.00001397289,0.00001539325,0.000002104655,0.001205163,0.9761495,1.21223e-7,0.000005939664,0.0004583824,0.0001155772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2162302,0.00003935728,0.7829089,0.0001936129,0.0001898933,0.0003089401,3.608031e-7,0.0001201014,0.000008568349],"genre_scores_gemma":[0.9932128,0.000006028059,0.006233782,0.0001148556,0.0002802793,0.00002095654,0.0001102159,0.00001064741,0.00001046523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7769825,"threshold_uncertainty_score":0.4878275,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078515993","doi":"10.1016/j.comnet.2007.01.031","title":"QoS-aware bandwidth allocation and admission control in IEEE 802.16 broadband wireless access networks: A non-cooperative game theoretic approach","year":2007,"lang":"en","type":"article","venue":"Computer Networks","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer network; Polling; Bandwidth allocation; Quality of service; Wireless broadband; Admission control; Queueing theory; Bandwidth (computing); Base station; Call Admission Control; WiMAX; Wireless; Wireless network; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.006290188177697909,"gpt":0.2239013015939961,"spread":0.2176111134162982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004436087,0.0004647548,0.0005366023,0.0001857429,0.00009903318,0.000197227,0.0003472754,0.0003575642,0.000009497908],"category_scores_gemma":[0.000005737994,0.0004537861,0.00005788596,0.0007019797,0.0001125246,0.0005581449,0.00009282025,0.0005829718,0.000001624786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024319,"about_ca_system_score_gemma":0.00002015956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006248174,"about_ca_topic_score_gemma":0.00002863158,"domain_scores_codex":[0.9978178,0.0001043059,0.000585758,0.0005681359,0.0001962311,0.0007277865],"domain_scores_gemma":[0.9988466,0.0003161435,0.0001200936,0.0003602497,0.0001150807,0.0002418656],"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":[0.0001083147,0.00004799798,0.001501254,0.00005259878,0.00003872376,0.00001195703,0.0002375167,0.9465282,0.00001372314,0.0001337125,0.001031573,0.05029443],"study_design_scores_gemma":[0.001944777,0.00006123861,0.003157329,0.0003131154,0.00002465257,0.00001677772,0.00002466428,0.993746,0.00004175391,0.0000603104,0.0001120275,0.0004973061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02664563,0.00129065,0.9693536,0.00001857012,0.001129691,0.0008741721,0.000001950098,0.0002886078,0.0003970905],"genre_scores_gemma":[0.9932772,0.001006515,0.003613152,0.0002617303,0.001534674,0.0000671202,0.0001073404,0.0001089475,0.0000233456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9666315,"threshold_uncertainty_score":0.9997914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145473395","doi":"10.1016/j.comnet.2010.08.001","title":"Design and implementation of the KioskNet system","year":2010,"lang":"en","type":"article","venue":"Computer Networks","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":46,"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":"Interactive kiosk; Software deployment; Computer science; Variety (cybernetics); Key (lock); Computer security; Architecture; The Internet; Software; World Wide Web; Software engineering; Engineering management; Telecommunications; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01117332777418436,"gpt":0.2269275386593774,"spread":0.215754210885193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003893762,0.0001202711,0.0001579569,0.00002876227,0.0001319933,0.000105576,0.0006232858,0.00008402525,0.000005443794],"category_scores_gemma":[3.732122e-7,0.00008568625,0.00004356156,0.0001912435,0.00006904462,0.0001396948,0.0003945175,0.0002182189,0.000001839154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008261236,"about_ca_system_score_gemma":0.00004565771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265388,"about_ca_topic_score_gemma":0.000005397911,"domain_scores_codex":[0.9990084,0.00009746049,0.0002638044,0.0002515879,0.0001588678,0.000219948],"domain_scores_gemma":[0.9990274,0.0001476097,0.0001558045,0.000528196,0.00006078339,0.0000801684],"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":[0.000006998524,0.00002557247,0.003916655,0.00003392383,0.00004007886,0.00001263674,0.0004818871,0.01066505,0.00006743739,0.07331624,0.011694,0.8997395],"study_design_scores_gemma":[0.0002342125,0.00004028841,0.003293886,0.00002462807,0.000007681714,0.00005645942,0.00001103087,0.9953904,0.00004121896,0.0002844485,0.0005176149,0.00009814874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007566322,0.00007106123,0.9894429,0.0001438137,0.002253755,0.0002706444,5.617301e-7,0.00008045825,0.0001704232],"genre_scores_gemma":[0.9110295,0.000006779652,0.08839907,0.0002071557,0.000327753,0.000007382166,0.000001349368,0.00000690517,0.00001405801],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9847254,"threshold_uncertainty_score":0.3494184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200095019","doi":"10.1016/j.comnet.2021.108672","title":"A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Lakehead University; Thunder Bay Regional Research Institute","funders":"Alfaisal University","keywords":"Computer science; Asynchronous communication; Proof of concept; Dissemination; Wearable computer; Coronavirus disease 2019 (COVID-19); Pandemic; Artificial intelligence; Deep learning; Machine learning; Distributed computing; Computer network; Embedded system; Telecommunications; Infectious disease (medical specialty)","retraction":null,"screen_n_in":null,"score":{"opus":0.03507582837450485,"gpt":0.2695242747563507,"spread":0.2344484463818459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001452101,0.0005410747,0.0007854404,0.0002084694,0.0006383295,0.000739558,0.01461611,0.0005428426,0.000031263],"category_scores_gemma":[0.004294232,0.0005640499,0.0002257484,0.002312785,0.0002085594,0.0009174319,0.05578202,0.001201035,0.000004000037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188381,"about_ca_system_score_gemma":0.0005774798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001934709,"about_ca_topic_score_gemma":0.000006892873,"domain_scores_codex":[0.9941245,0.001606658,0.0009957466,0.001437292,0.0005830544,0.001252744],"domain_scores_gemma":[0.9910152,0.001530375,0.0006044916,0.006203943,0.0004443343,0.0002016787],"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":[0.0004525306,0.0002125527,0.005702253,0.00007891428,0.0001919147,0.000394599,0.0003459175,0.9003606,0.0009870413,0.000144136,0.04478788,0.04634164],"study_design_scores_gemma":[0.00122689,0.0001947186,0.0007638314,0.000714306,0.00002798472,0.0000681372,0.000008971675,0.9829698,0.006068328,0.003578943,0.003785816,0.0005922375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1235351,0.001316665,0.8697661,0.001933124,0.001655098,0.000436158,0.000003778423,0.001325516,0.00002839746],"genre_scores_gemma":[0.5847564,0.0000175351,0.4138973,0.0003452428,0.0008235762,0.00002423125,0.00004431907,0.00005864637,0.00003274123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4612213,"threshold_uncertainty_score":0.9996811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140339261","doi":"10.1016/j.comnet.2005.11.007","title":"Origin authentication in interdomain routing","year":2005,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Authentication (law); Computer security; Delegation; The Internet; Computer network; Routing (electronic design automation); Address space; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01075002695221107,"gpt":0.2420842488587336,"spread":0.2313342219065225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004014712,0.0001294675,0.0001365207,0.0001091796,0.0000889262,0.0002663558,0.0005887031,0.00007808357,0.000005179337],"category_scores_gemma":[0.000004120104,0.0001304672,0.0000364167,0.0005704985,0.00002254397,0.0005549409,0.0002103562,0.0001944214,0.00003308461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008576296,"about_ca_system_score_gemma":0.00002565627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003182007,"about_ca_topic_score_gemma":0.00001793672,"domain_scores_codex":[0.9988093,0.00007978215,0.0002897762,0.0003691606,0.0001247898,0.0003271266],"domain_scores_gemma":[0.9993694,0.00006414719,0.00009671137,0.0003639671,0.00004265535,0.00006313441],"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":[0.000002436566,0.00004229623,0.001725647,0.000002851839,0.000003254618,0.000002674734,0.0006585479,0.5381748,0.000002240552,0.006413427,0.001721502,0.4512503],"study_design_scores_gemma":[0.0002508988,0.00001704979,0.001733051,0.00007566938,0.000001796941,0.000008521671,0.000003034114,0.9948334,0.0000127343,0.0004828364,0.002433633,0.0001473787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006970702,0.0001708141,0.9905545,0.0007369278,0.0005847127,0.00008974197,5.768522e-8,0.000237755,0.0006548235],"genre_scores_gemma":[0.7046283,0.00001393244,0.294072,0.0004723449,0.0007051919,0.000006356389,0.000004396367,0.000008469197,0.00008895155],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6976576,"threshold_uncertainty_score":0.5320297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2495118630","doi":"10.1016/j.comnet.2016.06.037","title":"Building a cloud on earth: A study of cloud computing data center simulators","year":2016,"lang":"en","type":"article","venue":"Computer Networks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Data center; Cloud testing; Software deployment; Cloud computing security; Distributed computing; Software engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03036247877515678,"gpt":0.2690659935053487,"spread":0.2387035147301919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009494449,0.0003713721,0.0004934707,0.000207802,0.000246811,0.0001862404,0.003929887,0.00009542856,0.000004271949],"category_scores_gemma":[0.00002338892,0.0002629388,0.0001159278,0.0005995283,0.00006787472,0.00007457293,0.006226134,0.0002746898,0.00002251836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000428053,"about_ca_system_score_gemma":0.00002011258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954394,"about_ca_topic_score_gemma":0.000004634841,"domain_scores_codex":[0.9964492,0.0003342827,0.0006968576,0.001253986,0.0005775912,0.0006880325],"domain_scores_gemma":[0.9956459,0.0007086836,0.0003507017,0.003028035,0.00009003944,0.0001766745],"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":[0.0000313914,0.001086923,0.003890797,0.0000195313,0.0001979072,0.00006864851,0.0007155909,0.5005795,0.000008835491,0.006128094,0.005278048,0.4819947],"study_design_scores_gemma":[0.001949254,0.0006469045,0.003459188,0.000389586,0.00001709897,0.00001013444,0.00001991612,0.9853809,0.000009272614,0.00012964,0.007635394,0.000352744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3950673,0.00004142233,0.6015248,0.0001588525,0.002516778,0.0003034807,0.000001650984,0.0002529564,0.0001326932],"genre_scores_gemma":[0.9782474,0.000002639928,0.01932111,0.000385601,0.001942404,0.000001993042,0.000002012004,0.00003152223,0.00006532261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5831801,"threshold_uncertainty_score":0.9999823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004029829","doi":"10.1016/j.comnet.2014.09.017","title":"An energy-efficient distributed in-network caching scheme for green content-centric networks","year":2014,"lang":"en","type":"article","venue":"Computer Networks","topic":"Caching and Content Delivery","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":"Carleton University","funders":"National Key Research and Development Program of China","keywords":"Computer science; Distributed computing; Content centric networking; Router; Scheme (mathematics); Energy consumption; Computer network; The Internet; Efficient energy use; Nash equilibrium; Convergence (economics); Cache; Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.01701109072460129,"gpt":0.2125866587745341,"spread":0.1955755680499329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001102128,0.000432503,0.0005529473,0.0001672023,0.000391429,0.000424917,0.001745077,0.0002455639,0.000002050948],"category_scores_gemma":[0.00001802932,0.0004263158,0.0002459432,0.0008252903,0.00005596456,0.0003393553,0.0005154845,0.0004672055,0.000003647084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316198,"about_ca_system_score_gemma":0.00003746525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002476645,"about_ca_topic_score_gemma":0.00009364981,"domain_scores_codex":[0.9963924,0.0003707655,0.0006525097,0.00103964,0.000308151,0.001236505],"domain_scores_gemma":[0.9976034,0.0004999388,0.0002426882,0.001133659,0.0001749387,0.0003454094],"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":[0.00003237438,0.0001400632,0.002749851,0.000006851886,0.00002918864,0.000012199,0.00003651247,0.8824218,0.000006449894,0.01960338,0.00215588,0.09280543],"study_design_scores_gemma":[0.001320624,0.0002239001,0.002913587,0.0001168018,0.00001408785,0.00001720653,0.000003879665,0.9906926,0.00000204567,0.0004072915,0.003770047,0.0005179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01438946,0.0008397424,0.9809741,0.0002366471,0.002721981,0.0003340545,0.000004351255,0.0004409543,0.00005868707],"genre_scores_gemma":[0.980323,0.00002442143,0.01480543,0.001609485,0.002952283,0.0000605844,0.0001411722,0.00004064832,0.00004294543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9661687,"threshold_uncertainty_score":0.9998189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2276029804","doi":"10.1016/j.comnet.2015.12.021","title":"ICP: Instantaneous clustering protocol for wireless sensor networks","year":2016,"lang":"en","type":"article","venue":"Computer Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"China Postdoctoral Science Foundation; Canada Foundation for Innovation","keywords":"Computer science; Cluster analysis; Computer network; Protocol (science); Wireless sensor network; Artificial intelligence; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01897314084099801,"gpt":0.2546256221804335,"spread":0.2356524813394355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005263622,0.0006729692,0.0006518608,0.0001847575,0.0004398492,0.0004719493,0.002259584,0.0004376497,0.00001681593],"category_scores_gemma":[0.00001548042,0.0005032358,0.0003167038,0.0006658251,0.00017132,0.0005178808,0.00115036,0.000364223,0.00002463117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064617,"about_ca_system_score_gemma":0.00006638854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005457211,"about_ca_topic_score_gemma":0.00002389547,"domain_scores_codex":[0.9953886,0.000222454,0.0008756605,0.00144664,0.0004530774,0.001613581],"domain_scores_gemma":[0.9961778,0.001045146,0.0004097006,0.00167046,0.0002967237,0.0004001607],"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":[0.00009678985,0.00009345428,0.0001175666,0.00002768637,0.00004375472,0.00008566332,0.00004123328,0.7119561,0.0000376006,0.004813849,0.00603239,0.2766539],"study_design_scores_gemma":[0.002384712,0.0003190336,0.0000908975,0.0004688922,0.000009452914,0.000178321,0.000001919157,0.963386,0.00008149568,0.0001024762,0.0322063,0.0007704811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002764666,0.0000264127,0.9553364,0.0004539026,0.002234037,0.04014226,0.000002783787,0.001123106,0.0004046686],"genre_scores_gemma":[0.2698402,0.00004703495,0.5370499,0.003309063,0.01114479,0.1764965,0.00002116932,0.0004132165,0.00167812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4182864,"threshold_uncertainty_score":0.9997419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973200519","doi":"10.1016/j.comnet.2005.10.009","title":"Uplink UMTS network design—an integrated approach","year":2005,"lang":"en","type":"article","venue":"Computer Networks","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":38,"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; Mathematical optimization; Telecommunications link; Heuristic; UMTS frequency bands; Set (abstract data type); Point (geometry); Cellular network; Network planning and design; Telecommunications; Mathematics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04699970605434121,"gpt":0.279704898206279,"spread":0.2327051921519377,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001696405,0.0004333117,0.0004510754,0.0001707212,0.0005130605,0.0008987295,0.005755209,0.0003187473,0.00003073366],"category_scores_gemma":[0.00001190661,0.0004067647,0.0001401226,0.001697365,0.0001529541,0.001233013,0.001860782,0.00117221,0.0001417371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663455,"about_ca_system_score_gemma":0.0001516844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001388745,"about_ca_topic_score_gemma":0.00001057487,"domain_scores_codex":[0.995563,0.001056288,0.0006335665,0.0009978,0.0005121794,0.00123719],"domain_scores_gemma":[0.9954901,0.0004444638,0.0001585766,0.003099033,0.0003129841,0.0004948564],"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":[0.000009876043,0.0001206553,0.00004145236,0.000002258878,0.00002411317,0.000003832911,0.0001122267,0.6155025,8.271786e-7,0.007984614,0.02543558,0.350762],"study_design_scores_gemma":[0.0004192873,0.000126772,0.000370571,0.00003993222,0.000005423611,0.0000485715,0.000003149279,0.9697036,0.000007038825,0.0003982328,0.02843329,0.0004441435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001506985,0.001417043,0.994425,0.0008569624,0.00063656,0.0005651235,3.334536e-7,0.00102416,0.0009241475],"genre_scores_gemma":[0.1860465,0.000184419,0.8093591,0.001241953,0.002782067,0.00008170622,0.00005033501,0.00005049109,0.0002034369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3542011,"threshold_uncertainty_score":0.9998384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2616128853","doi":"10.1016/j.comnet.2017.05.014","title":"SERVitES: An efficient search and allocation resource protocol based on V2V communication for vehicular cloud","year":2017,"lang":"en","type":"article","venue":"Computer Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":36,"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; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Cloud computing; Protocol (science); Computer network; Resource allocation; Resource (disambiguation); Resource management (computing); Distributed computing; Vehicular ad hoc network; Wireless ad hoc network; Telecommunications; Operating system; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.01753632311246492,"gpt":0.2652634512467412,"spread":0.2477271281342762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000713462,0.0002302768,0.0002130918,0.00006000259,0.0005330369,0.0003845551,0.0006520697,0.0001842799,0.000003796215],"category_scores_gemma":[0.000009362228,0.0002360857,0.00006104464,0.00006695727,0.00007854649,0.0001127896,0.0001540047,0.0003383466,0.000004680416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007667763,"about_ca_system_score_gemma":0.0000150429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009337372,"about_ca_topic_score_gemma":0.00002280115,"domain_scores_codex":[0.9986957,0.0001331952,0.0002423116,0.0003350596,0.0001955858,0.0003981844],"domain_scores_gemma":[0.9979585,0.0001456048,0.00006721342,0.001578014,0.0000899784,0.0001606272],"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":[0.00005639134,0.00005340267,0.0001421787,0.00008895012,0.00001872813,0.000002001106,0.00007906866,0.9729457,0.000009651976,0.0001899528,0.001621004,0.02479296],"study_design_scores_gemma":[0.001096389,0.0001921761,0.002486438,0.0002432859,0.00001341163,0.000002964782,0.000004828426,0.9813643,0.00004694147,0.0000246622,0.01427345,0.0002512143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04727938,0.00009736919,0.9220957,0.0003001824,0.0002426498,0.02928219,0.000004097285,0.000414509,0.0002839534],"genre_scores_gemma":[0.9687624,0.000005337908,0.01697416,0.000336528,0.00101411,0.01264398,0.0001521973,0.00009666265,0.00001461827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.921483,"threshold_uncertainty_score":0.9627295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294724150","doi":"10.1016/j.comnet.2022.109359","title":"Self-healing and optimal fault tolerant routing in wireless sensor networks using genetical swarm optimization","year":2022,"lang":"en","type":"article","venue":"Computer Networks","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Swarm behaviour; Wireless sensor network; Wireless; Fault tolerance; Routing (electronic design automation); Fault (geology); Multipath routing; Computer network; Genetic algorithm; Distributed computing; Dynamic Source Routing; Routing protocol; Artificial intelligence; Telecommunications; Machine learning; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01158529067550188,"gpt":0.2210311042640883,"spread":0.2094458135885865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008959267,0.000468989,0.0005623033,0.0002701864,0.0007726561,0.0004371984,0.001010471,0.0002278579,0.000008666444],"category_scores_gemma":[0.00000570201,0.000544059,0.0001146209,0.00132869,0.00008059782,0.0002992853,0.002112828,0.001087925,8.123909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303166,"about_ca_system_score_gemma":0.00006810224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003998553,"about_ca_topic_score_gemma":0.00000618134,"domain_scores_codex":[0.9955604,0.0006527079,0.0008181349,0.001237771,0.0005438472,0.001187158],"domain_scores_gemma":[0.9982762,0.0003711772,0.0002833757,0.0007025625,0.0001039225,0.0002627471],"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":[0.00001966774,0.000129995,0.001000264,0.00001059204,0.00002722269,0.0001474626,0.0004980906,0.9873675,0.000004780396,0.001952988,0.00004625099,0.008795198],"study_design_scores_gemma":[0.0008289118,0.00009359957,0.0001802585,0.00007311283,0.00001789212,0.0002099477,0.00004484258,0.9978253,0.000009281865,0.000005897344,0.0001174225,0.0005934799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.171736,0.0004761285,0.8253704,0.0001383626,0.00151688,0.0003329116,9.264419e-7,0.0003885899,0.0000397459],"genre_scores_gemma":[0.5999276,0.00006324686,0.398906,0.0004047817,0.0006141417,0.0000140412,0.00001515025,0.00004831759,0.000006727473],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4281916,"threshold_uncertainty_score":0.9997011,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399422086","doi":"10.1016/j.comnet.2024.110576","title":"Machine learning-enabled hybrid intrusion detection system with host data transformation and an advanced two-stage classifier","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bell (Canada); Nokia (Canada); Ciena (Canada); University of Ottawa","funders":"","keywords":"Computer science; Intrusion detection system; Host (biology); Classifier (UML); Artificial intelligence; Transformation (genetics); Machine learning; Pattern recognition (psychology); Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.01333889536162386,"gpt":0.23499311405528,"spread":0.2216542186936562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006260893,0.0002788892,0.0002497078,0.0001928526,0.0004761638,0.0009490873,0.0006699887,0.0001026612,0.000008558875],"category_scores_gemma":[0.000003124586,0.0002316874,0.00003649826,0.000601139,0.00005250474,0.003153344,0.0004179766,0.0006723727,0.0000127742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008590108,"about_ca_system_score_gemma":0.00003140664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005541047,"about_ca_topic_score_gemma":0.0001524159,"domain_scores_codex":[0.9978744,0.0002500567,0.0003511454,0.0008678391,0.0002895288,0.0003669869],"domain_scores_gemma":[0.9987677,0.00009371724,0.000104549,0.0007937764,0.00007386503,0.000166399],"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":[0.0001131145,0.0000312936,0.00002377203,0.0001582727,0.00004012805,0.00006914018,0.0004657449,0.1407568,0.0002194235,0.005928055,0.0001053429,0.8520889],"study_design_scores_gemma":[0.0005863743,0.0005586289,0.00009171847,0.0002887287,0.0000195904,0.0002635042,0.00002172789,0.9742702,0.0002506413,0.00005290776,0.02329578,0.0003002226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02393611,0.001121332,0.9712399,0.0001175378,0.001794326,0.0003711752,0.000006113601,0.001146733,0.0002668032],"genre_scores_gemma":[0.9890806,0.0002714957,0.009479819,0.0001025223,0.0008452449,0.00001713404,0.0001152622,0.00003060292,0.00005731476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9651445,"threshold_uncertainty_score":0.944794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400038006","doi":"10.1016/j.comnet.2024.110615","title":"Collaborative computation offloading and wireless charging scheduling in multi-UAV-assisted MEC networks: A TD3-based approach","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scheduling (production processes); Wireless; Computation; Computer network; Wireless network; Computation offloading; Distributed computing; Real-time computing; Mathematical optimization; Embedded system; Telecommunications; Internet of Things; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01144191154079868,"gpt":0.2281350249855426,"spread":0.2166931134447439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026197,0.0002163588,0.0002319351,0.000205615,0.0001013741,0.000294067,0.0000938201,0.0001470089,0.000002003582],"category_scores_gemma":[0.000001758336,0.0002344518,0.00003426001,0.001087545,0.00003243007,0.0001880769,0.00003890136,0.000304323,0.000002187451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106788,"about_ca_system_score_gemma":0.00002235933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006459272,"about_ca_topic_score_gemma":0.00001099035,"domain_scores_codex":[0.9989211,0.00004987179,0.0003081682,0.0003525736,0.00008813897,0.0002801624],"domain_scores_gemma":[0.9995797,0.0001300273,0.00003600251,0.0001255415,0.00005762487,0.00007107438],"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":[0.000004052396,0.00002470371,0.0002036573,0.00008258359,0.00002958652,0.000004660582,0.0003516788,0.9503624,0.00002519142,0.0003117882,0.0001357573,0.04846397],"study_design_scores_gemma":[0.0004330694,0.00001086752,0.001254933,0.0002975517,0.00001687625,0.000004375354,0.00005125331,0.9975423,0.000008283472,0.00001145235,0.0001245995,0.0002444252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02722955,0.002487135,0.9688323,0.00003041086,0.0003996163,0.0003953395,0.000002546286,0.0005232216,0.00009983714],"genre_scores_gemma":[0.8041824,0.0001115783,0.1951845,0.000041625,0.0002309156,0.00007684332,0.0001203173,0.00004763679,0.000004192219],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7769528,"threshold_uncertainty_score":0.9560665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2975661269","doi":"10.1016/j.comnet.2019.106927","title":"Unmanned aerial vehicle-assisted energy-efficient data collection scheme for sustainable wireless sensor networks","year":2019,"lang":"en","type":"article","venue":"Computer Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":32,"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":"Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Wireless sensor network; Efficient energy use; Real-time computing; Data collection; Cluster analysis; Drone; Scheme (mathematics); Computer network; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.009680749464402269,"gpt":0.2027722894113505,"spread":0.1930915399469483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001626484,0.0001983017,0.000222962,0.00007736842,0.0001812233,0.0001601398,0.0003448311,0.0001940952,0.00001779524],"category_scores_gemma":[0.000002460964,0.0002149199,0.0000523152,0.000509793,0.00001826459,0.0001395364,0.0001763542,0.0001299381,0.000006307446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080457,"about_ca_system_score_gemma":0.00002230323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002115501,"about_ca_topic_score_gemma":0.000005385895,"domain_scores_codex":[0.9987532,0.00002551599,0.0002746604,0.0003942726,0.00009987414,0.0004524977],"domain_scores_gemma":[0.9989046,0.00008705831,0.00006215123,0.0007049991,0.000161606,0.00007955482],"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":[0.00004446976,0.00004288392,0.00006839425,0.00002325342,0.00004111844,9.818492e-7,0.00001316354,0.9582646,0.00002759726,0.0009938291,0.02966072,0.01081901],"study_design_scores_gemma":[0.0009737448,0.00004795838,0.0002802331,0.000020133,0.00001417708,0.000003128943,0.00001342149,0.9699543,0.00002636957,0.00001059243,0.02841039,0.0002455771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02860277,0.0002452267,0.96863,0.00002968044,0.001092111,0.0006782921,0.000004963076,0.0003886064,0.000328343],"genre_scores_gemma":[0.9573463,0.0001586212,0.03794147,0.0001168537,0.001887894,0.0001724758,0.00134693,0.000107611,0.0009218683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9306886,"threshold_uncertainty_score":0.876418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2729888584","doi":"10.1016/j.comnet.2017.06.027","title":"Performance modeling and analysis of void-handling methodologies in underwater wireless sensor networks","year":2017,"lang":"en","type":"article","venue":"Computer Networks","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":32,"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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Computer network; Void (composites); Network packet; The Void; Underwater; Routing protocol; Wireless sensor network; Distributed computing; Real-time computing","retraction":null,"screen_n_in":null,"score":{"opus":0.0560026539149584,"gpt":0.2689604935770106,"spread":0.2129578396620522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000455492,0.000152356,0.0004421991,0.0001569723,0.0001451513,0.0001344282,0.0003960928,0.0001250092,0.000001767617],"category_scores_gemma":[9.379916e-7,0.0001391517,0.00007224868,0.0001551522,0.00005387007,0.0001677839,0.0002457835,0.000214359,4.21872e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002222601,"about_ca_system_score_gemma":0.000002997657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004949975,"about_ca_topic_score_gemma":0.00005867742,"domain_scores_codex":[0.9990398,0.00008267905,0.000372779,0.0001830748,0.0000750722,0.0002466156],"domain_scores_gemma":[0.9991089,0.0001104669,0.00008990708,0.0006097671,0.00003940729,0.00004158712],"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":[0.000005827598,0.000003969263,0.02785044,0.0000261637,0.0002031819,9.807601e-7,0.0001816833,0.9301582,0.0000461986,0.00000946059,0.000002251907,0.04151163],"study_design_scores_gemma":[0.0001903036,0.00001097796,0.01491279,0.00009122909,0.00007651293,0.000001786923,0.00003225965,0.9844147,0.00007072222,0.00001732672,0.00002915994,0.0001522396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4731217,0.0003731743,0.5263014,0.000009800335,0.00007197521,0.00004532732,3.907716e-7,0.00004278108,0.00003346147],"genre_scores_gemma":[0.9780561,0.001090033,0.02068945,0.00001638169,0.0001074414,0.000007268281,0.000007981265,0.00001872466,0.000006609882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5056119,"threshold_uncertainty_score":0.567444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886870596","doi":"10.1016/j.comnet.2018.08.004","title":"Dynamic allocation of power delivery paths in consolidated data centers based on adaptive UPS switching","year":2018,"lang":"en","type":"article","venue":"Computer Networks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":32,"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":"Data center; Computer science; Server; Power consumption; Real-time computing; Uninterruptible power supply; Power (physics); Embedded system; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01609542308647178,"gpt":0.2355376094463065,"spread":0.2194421863598347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532629,0.000196903,0.000232783,0.0002187896,0.00009548633,0.00008643246,0.001799431,0.0000775057,0.000003950782],"category_scores_gemma":[0.000008105016,0.0001871129,0.0000487172,0.0005229861,0.00006778867,0.00006399894,0.001310354,0.0002263121,0.0000125815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007443682,"about_ca_system_score_gemma":0.00003994825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004977789,"about_ca_topic_score_gemma":0.00002604716,"domain_scores_codex":[0.9981467,0.0001792566,0.0003768724,0.0006778047,0.0002652915,0.0003540714],"domain_scores_gemma":[0.9980213,0.0001849294,0.0001908102,0.001435798,0.00009706325,0.00007008391],"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":[0.00006802972,0.0002553365,0.0008093799,0.00001158069,0.00004417485,0.00003245446,0.0005507689,0.8323616,0.00001576473,0.001005884,0.002219994,0.1626251],"study_design_scores_gemma":[0.0005704515,0.0002822102,0.008813101,0.0002802625,0.000005976869,0.000002153649,0.00001439469,0.9894294,0.000007879199,0.00006316965,0.0003430772,0.0001878927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092366,0.00004750193,0.8888782,0.0002437221,0.0009165347,0.0001988614,0.00000198217,0.0001184665,0.0003580727],"genre_scores_gemma":[0.9711611,0.000002770123,0.02774582,0.0009364962,0.000108905,0.000002331978,0.00002130343,0.00001336183,0.000007877509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8619245,"threshold_uncertainty_score":0.7630242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135536458","doi":"10.1016/j.comnet.2010.05.005","title":"REACT: An RFID-based privacy-preserving children tracking scheme for large amusement parks","year":2010,"lang":"en","type":"article","venue":"Computer Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Amusement; Scheme (mathematics); Node (physics); Theme park; Computer security; Tracking (education); Process (computing); Identity (music); Computer network; Internet privacy; Tourism; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.008967940755026695,"gpt":0.2273155193027539,"spread":0.2183475785477272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006147897,0.0004407875,0.0004006965,0.0001041598,0.0002224718,0.0002797754,0.0009884469,0.0003651666,0.00006826762],"category_scores_gemma":[0.00001920968,0.0004768195,0.0001977454,0.0002307018,0.00002738512,0.000403159,0.0002550609,0.000946986,0.00001011886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006141068,"about_ca_system_score_gemma":0.00002661045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006389393,"about_ca_topic_score_gemma":0.0001105203,"domain_scores_codex":[0.9975433,0.00004819786,0.0004658234,0.0005668122,0.0002535973,0.001122262],"domain_scores_gemma":[0.9981202,0.0001492541,0.00009363231,0.001208265,0.00009744252,0.0003311645],"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":[0.00001355916,0.00009278391,0.00575057,0.00003769623,0.00009919632,0.000008051957,0.00007734884,0.961269,0.0003751125,0.0002191632,0.01321693,0.01884065],"study_design_scores_gemma":[0.001182233,0.00006851798,0.01443323,0.00008886547,0.00003488449,0.00001178372,0.000002055565,0.9599777,0.0002526187,0.00007192815,0.0233343,0.0005418186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3359368,0.000248763,0.6605337,0.0000685668,0.001609897,0.0007040581,0.00001044747,0.0008006418,0.00008714051],"genre_scores_gemma":[0.9114691,0.00001386413,0.08351935,0.0003984111,0.003886609,0.00009811765,0.000431246,0.0001726092,0.00001068703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5770144,"threshold_uncertainty_score":0.9997684,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2978924428","doi":"10.1016/j.comnet.2019.106937","title":"A functional taxonomy of caching schemes: Towards guided designs in information-centric networks","year":2019,"lang":"en","type":"article","venue":"Computer Networks","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Computer science; Scalability; The Internet; Benchmark (surveying); Distributed computing; Domain (mathematical analysis); Information-centric networking; Taxonomy (biology); Architecture; Internet of Things; Computer network; World Wide Web; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.03709930418390768,"gpt":0.214658890796357,"spread":0.1775595866124493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005060531,0.0002025149,0.0003108839,0.0002833832,0.00006687069,0.0001811955,0.0007566295,0.0001290008,0.00002333272],"category_scores_gemma":[0.00001045941,0.0001999859,0.0001363056,0.0006908145,0.00002433895,0.001124438,0.0004486493,0.0003784799,0.00004043695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009373565,"about_ca_system_score_gemma":0.0001104827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009700798,"about_ca_topic_score_gemma":0.000003874011,"domain_scores_codex":[0.9983264,0.0001050722,0.0005838391,0.0003064122,0.000276943,0.0004013326],"domain_scores_gemma":[0.998845,0.0001526582,0.0002280677,0.0005430253,0.0001402242,0.00009100899],"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":[0.00001325256,0.00003994342,0.009282433,0.00001412398,0.0000269788,0.000003904216,0.00007696744,0.8899653,0.00000309532,0.003767912,0.005599769,0.09120631],"study_design_scores_gemma":[0.0008072575,0.0000568415,0.008596108,0.00009997851,0.000004682808,0.00001767446,0.000007245691,0.9860893,0.000004413413,0.00005536353,0.004048727,0.0002124046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02637408,0.000333927,0.9702511,0.00008772109,0.001785872,0.0003569686,6.859683e-7,0.0001132658,0.0006963706],"genre_scores_gemma":[0.9840261,0.00002675877,0.01472516,0.0008228922,0.0002943843,0.00002517046,0.00002206756,0.000008135115,0.00004937529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957652,"threshold_uncertainty_score":0.8155189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000074659","doi":"10.1016/j.comnet.2011.09.008","title":"Secure authentication scheme for passive C1G2 RFID tags","year":2011,"lang":"en","type":"article","venue":"Computer Networks","topic":"RFID technology advancements","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mutual authentication; Authentication protocol; Computer security; Authentication (law); Computer network; Replay attack; Challenge-Handshake Authentication Protocol; Protocol (science); Denial-of-service attack; Cryptography; Cryptographic protocol; The Internet","retraction":null,"screen_n_in":null,"score":{"opus":0.01399092300302965,"gpt":0.194064008768619,"spread":0.1800730857655894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003909365,0.000131026,0.0001219057,0.00005147207,0.00004784926,0.00001141738,0.0002283535,0.0001542115,0.00003096996],"category_scores_gemma":[0.000003141313,0.0001409878,0.00004242602,0.0001095799,0.00003266826,0.000104794,0.00005731427,0.0001560026,0.00003031096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438267,"about_ca_system_score_gemma":0.000003345544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.939433e-7,"about_ca_topic_score_gemma":0.000001072504,"domain_scores_codex":[0.9993504,0.000005868517,0.0001557386,0.0001770347,0.00004779883,0.0002632052],"domain_scores_gemma":[0.9995658,0.0000229607,0.00003548899,0.0002929839,0.00004211922,0.00004058955],"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":[0.00007860798,0.0002847432,0.007945389,0.0002873603,0.0009548898,0.00003429934,0.00247534,0.1605594,0.001098516,0.06937104,0.164305,0.5926055],"study_design_scores_gemma":[0.0003563882,0.00004442553,0.002002944,0.0000301219,0.00001438029,0.000003488236,0.000005300285,0.9810395,0.0008010202,0.003295593,0.0122209,0.0001859483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01818066,0.0002473556,0.9790204,0.00002929377,0.001202228,0.000289535,0.000002696112,0.0006669995,0.0003607903],"genre_scores_gemma":[0.8465328,0.00003001793,0.1527708,0.00009189139,0.0003332925,0.000114804,0.00003042964,0.00003976937,0.00005617704],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8283522,"threshold_uncertainty_score":0.5749316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4397001512","doi":"10.1016/j.comnet.2024.110508","title":"FTG-Net-E: A hierarchical ensemble graph neural network for DDoS attack detection","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"European Commission","keywords":"Computer science; Denial-of-service attack; Artificial intelligence; Artificial neural network; Graph; Machine learning; Theoretical computer science; The Internet; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01786878164698726,"gpt":0.2513169081498057,"spread":0.2334481265028184,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005849977,0.0003657566,0.0003463305,0.0001987511,0.0005343426,0.0009730706,0.0008470151,0.0003112244,0.00001624886],"category_scores_gemma":[0.000009098413,0.000350347,0.0003787403,0.001366746,0.00008277375,0.0006954403,0.0004477773,0.0007653896,0.0000466536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007188911,"about_ca_system_score_gemma":0.00004263375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009067024,"about_ca_topic_score_gemma":0.00004590511,"domain_scores_codex":[0.9970945,0.0001930616,0.0004974779,0.00100546,0.0003038911,0.0009056245],"domain_scores_gemma":[0.9983451,0.0005557007,0.00008668307,0.0006680041,0.0001041709,0.0002403537],"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":[0.00003909238,0.00002802284,0.000009607495,0.00003662294,0.00004992507,0.00002551931,0.0001088501,0.2802393,0.00002194524,0.009286094,0.04538638,0.6647686],"study_design_scores_gemma":[0.0002751459,0.0004185685,0.0001163024,0.0001072221,0.00001963944,0.0001280556,8.660842e-7,0.8606055,0.00005849619,0.01058606,0.1273348,0.0003492806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004837611,0.00278683,0.976245,0.000685168,0.01338889,0.0006075024,0.000001901042,0.001271125,0.0001760108],"genre_scores_gemma":[0.9206063,0.000219848,0.06479736,0.001673676,0.01223987,0.0001707779,0.00002324836,0.00006627571,0.0002026753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9157686,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391756394","doi":"10.1016/j.comnet.2024.110244","title":"Secure and efficient communication approaches for Industry 5.0 in edge computing","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":29,"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; Edge computing; Enhanced Data Rates for GSM Evolution; Secure communication; Distributed computing; Theoretical computer science; Computer security; Computer network; Telecommunications; Encryption","retraction":null,"screen_n_in":null,"score":{"opus":0.03711584224507797,"gpt":0.2573876387572004,"spread":0.2202717965121224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006122455,0.0001293757,0.000161847,0.0001297675,0.0001096914,0.0005219314,0.0005617804,0.0002564712,8.117322e-7],"category_scores_gemma":[0.000004744848,0.0001247279,0.00004521618,0.0003911172,0.00004270998,0.0001399125,0.0003876193,0.0005513926,0.000003881078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630183,"about_ca_system_score_gemma":0.00002698738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005350456,"about_ca_topic_score_gemma":0.000006047443,"domain_scores_codex":[0.9988788,0.0001113327,0.0002778017,0.0003932465,0.0001018449,0.0002369985],"domain_scores_gemma":[0.9991219,0.0002859857,0.00004605409,0.0004448981,0.0000302446,0.00007088706],"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":[0.000006601084,0.000193799,0.001854121,0.0003844747,0.00006344765,0.00001077806,0.06906971,0.08191806,0.000002620508,0.3824671,0.007457108,0.4565722],"study_design_scores_gemma":[0.0001885563,0.00001923838,0.001719205,0.0002224686,0.000003589712,0.00001579961,0.00004039118,0.9925067,0.000002225546,0.0009885286,0.004157036,0.0001362683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04163392,0.003436548,0.9523515,0.001181545,0.000684912,0.0003831872,9.783151e-7,0.0002131044,0.0001143196],"genre_scores_gemma":[0.9856017,0.00001341421,0.01386857,0.0002118556,0.0002311196,0.00002235706,0.0000116664,0.0000114066,0.00002796376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9439678,"threshold_uncertainty_score":0.5086257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}