{"meta":{"query_hash":"1c67bf5f60a8","filters":{"venue":"Journal of Network and Systems Management"},"cohort_total":66,"direct_labels_cover":0,"predictions_cover":66,"exported":66,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1c67bf5f60a8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Network+and+Systems+Management"},"results":[{"id":"W1501122322","doi":"10.1023/a:1025798425019","title":"Policy 2003: Workshop on Policies for Distributed Systems and Networks","year":2003,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Access Control and Trust","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Conference Board of Canada","funders":"","keywords":"Computer science","score_opus":0.025566632345114974,"score_gpt":0.30238080464395267,"score_spread":0.2768141722988377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501122322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007988408,0.019093022,0.74253696,0.14107257,0.023160249,0.00074129965,0.0015871141,0.003597956,0.06022247],"genre_scores_gemma":[0.22570695,0.045400143,0.48733917,0.018669855,0.017416071,0.0021037844,0.00624816,0.004627547,0.19248843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922077,0.0036059136,0.00066413375,0.0008927905,0.0018003897,0.0008290667],"domain_scores_gemma":[0.97534716,0.012022951,0.0006168646,0.004127277,0.004587956,0.0032978323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02378191,0.0025763775,0.003135116,0.0021467358,0.0037381523,0.012725505,0.005292242,0.0075332597,0.018222533],"category_scores_gemma":[0.028402584,0.00223908,0.0018999433,0.003002724,0.00434471,0.02418283,0.00607417,0.014182802,0.0045823236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027356617,0.0002809535,0.00037771722,0.00056102936,0.000059274993,0.00019483904,0.0011615407,0.017390816,0.0013675949,0.5709132,0.29427055,0.11314898],"study_design_scores_gemma":[0.00007592133,0.00007095426,0.0002562758,0.0007883288,0.00003976402,0.00014832418,0.00069315796,0.038298693,0.0028820448,0.32922402,0.6274617,0.000060843733],"about_ca_topic_score_codex":0.020043677,"about_ca_topic_score_gemma":0.01090004,"teacher_disagreement_score":0.02378191,"about_ca_system_score_codex":0.011919137,"about_ca_system_score_gemma":0.016742608,"threshold_uncertainty_score":0.12577224},"labels":[],"label_agreement":null},{"id":"W1513275202","doi":"10.1023/a:1014401508703","title":"Managing Quality-of-Service in Internet Applications Using Differentiated Services","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality of service; Computer network; Differentiated services; Mobile QoS; Traffic classification; The Internet; Provisioning; Differentiated service; Integrated services; Network packet; Throughput; Network management; Service (business); Distributed computing; Service provider; Telecommunications; Wireless","score_opus":0.03698256486875612,"score_gpt":0.25681940255268654,"score_spread":0.21983683768393042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513275202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5943466,0.001471171,0.39744595,0.0008132431,0.00021261816,0.00014489974,0.00007102333,0.000541099,0.0049533457],"genre_scores_gemma":[0.9883172,0.00014554596,0.010916577,0.000051923533,0.000041438132,0.000012861123,0.000025527757,0.00001888846,0.00047002753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854666,0.0004163091,0.0001189051,0.00013366871,0.0004916842,0.00029268189],"domain_scores_gemma":[0.9949399,0.002132796,0.0006123192,0.0004710148,0.0015419977,0.000301908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003700206,0.0005609981,0.0007633116,0.0008401817,0.00075250294,0.0024846522,0.0013847149,0.00080724934,0.00061615126],"category_scores_gemma":[0.008916527,0.0003919403,0.00028035822,0.00090588746,0.0006322101,0.0022369109,0.0010075815,0.0011388335,0.00016739157],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015093931,0.0009082021,0.017751325,0.0001997617,0.00021158106,0.00044924289,0.0009875284,0.5348586,0.1276085,0.04479222,0.002673767,0.2680498],"study_design_scores_gemma":[0.000043496653,0.00015737415,0.0021911243,0.00001100628,0.000078954334,0.000070929615,0.000089067384,0.9747386,0.012513813,0.009121735,0.0009565697,0.000027353839],"about_ca_topic_score_codex":0.0029694368,"about_ca_topic_score_gemma":0.0033614314,"teacher_disagreement_score":0.003700206,"about_ca_system_score_codex":0.002056252,"about_ca_system_score_gemma":0.0010485896,"threshold_uncertainty_score":0.0195688},"labels":[],"label_agreement":null},{"id":"W1514473067","doi":"10.1023/a:1014405609612","title":"Extending COPS-PR with Meta-Policies for Scalable Management of IP Networks","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Scalability; Provisioning; Computer network; Quality of service; Protocol (science); Network management; Computer security; Distributed computing; Operating system","score_opus":0.04313814534948185,"score_gpt":0.237801468260971,"score_spread":0.19466332291148916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514473067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03974553,0.0004361102,0.93921244,0.00084684306,0.0002429134,0.00029767852,0.00016453816,0.010415519,0.008638413],"genre_scores_gemma":[0.56644166,0.00029926543,0.42688805,0.0003876376,0.0002445862,0.00019872897,0.00035142523,0.0011080396,0.0040806164],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972958,0.00075675396,0.0003658254,0.0003082275,0.0008311443,0.0004423095],"domain_scores_gemma":[0.99178034,0.0021306896,0.0005884709,0.0039587095,0.0010056058,0.0005361835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00486708,0.00058125035,0.0008888507,0.0008577675,0.0008273725,0.002309727,0.0023901751,0.0009543202,0.0028832436],"category_scores_gemma":[0.010751273,0.000598565,0.00084002677,0.00072070374,0.0010538353,0.004057485,0.0038502465,0.0020789516,0.0009318827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014146628,0.00087384926,0.0060743326,0.0006077137,0.00025933047,0.0006791909,0.00089167734,0.21840578,0.02500713,0.18431993,0.021391733,0.54007465],"study_design_scores_gemma":[0.00010253039,0.00012191424,0.00037982894,0.00004494484,0.000074365445,0.00017398164,0.00007733882,0.8959175,0.011922899,0.06936663,0.021782734,0.00003522846],"about_ca_topic_score_codex":0.0015562294,"about_ca_topic_score_gemma":0.0017297239,"teacher_disagreement_score":0.00486708,"about_ca_system_score_codex":0.00073139253,"about_ca_system_score_gemma":0.0018012483,"threshold_uncertainty_score":0.025739849},"labels":[],"label_agreement":null},{"id":"W1531495884","doi":"10.1023/a:1009430220293","title":"Communications Systems Driven by Software Agent Technology","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"Barts and The London School of Medicine and Dentistry; Engineering and Physical Sciences Research Council; Imperial College London","keywords":"Computer science; Domain (mathematical analysis); Mobile agent; Network management; Software agent; Telecommunications; Engineering management; Distributed computing; Computer network; Artificial intelligence","score_opus":0.013869506432548664,"score_gpt":0.22811346278666855,"score_spread":0.21424395635411989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531495884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07037225,0.0012462245,0.8187815,0.0030840647,0.0006517584,0.00021200316,0.000086389206,0.0014490731,0.104116775],"genre_scores_gemma":[0.845891,0.0010313854,0.13228159,0.0003115484,0.00024758597,0.00022804883,0.00015353857,0.00021770618,0.0196376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992611,0.00030551528,0.00003084662,0.00007051595,0.0002568257,0.0000751579],"domain_scores_gemma":[0.9978787,0.0010777324,0.00017631627,0.00028827303,0.0004390858,0.00014002701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009455682,0.00034564067,0.00035800567,0.000667763,0.00078348134,0.0027498193,0.00084124075,0.0012089786,0.0045194],"category_scores_gemma":[0.0044545545,0.00042666926,0.00044133095,0.0005129669,0.001339595,0.002668619,0.001524025,0.0013099088,0.0010840626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080078775,0.00010357775,0.0013405959,0.00011026657,0.00005659259,0.0003305949,0.0004955281,0.07947746,0.0066715833,0.8555266,0.0060035605,0.04980341],"study_design_scores_gemma":[0.000071799506,0.000099903584,0.0005990261,0.00006320098,0.00005111918,0.0002255968,0.00021962635,0.5442035,0.0044251294,0.39300153,0.05700438,0.000035237823],"about_ca_topic_score_codex":0.0014152614,"about_ca_topic_score_gemma":0.0013140843,"teacher_disagreement_score":0.0045194,"about_ca_system_score_codex":0.0007567223,"about_ca_system_score_gemma":0.0013215157,"threshold_uncertainty_score":0.015118897},"labels":[],"label_agreement":null},{"id":"W1542466461","doi":"10.1023/a:1022497125456","title":"A Multi-Agent Architecture for QoS Management in Multimedia Networks","year":2003,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Quality of service; Network congestion; Throughput; Real-time computing; Frame (networking); Transmission (telecommunications); Distributed computing; Telecommunications; Network packet; Wireless","score_opus":0.031072768052708068,"score_gpt":0.2918913758999711,"score_spread":0.260818607847263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542466461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032324728,0.0005758173,0.95944685,0.000629171,0.0001714465,0.00014430222,0.00003113578,0.0014864233,0.005190139],"genre_scores_gemma":[0.53831077,0.00054045004,0.45264095,0.00019177124,0.00013236185,0.00024544948,0.00008822836,0.000093736235,0.0077561913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959904,0.00014590686,0.000039035658,0.000052200823,0.00011955374,0.000044312874],"domain_scores_gemma":[0.99943084,0.000168491,0.000057202535,0.00007025934,0.00017809709,0.00009510204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012683064,0.00041384305,0.000543176,0.00041363004,0.0010020975,0.0017434774,0.0017382561,0.0013030613,0.0017288596],"category_scores_gemma":[0.0015285362,0.0003393359,0.0003234766,0.000321148,0.0006047036,0.0014050946,0.0011278372,0.001139934,0.00045284908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059533934,0.0005311158,0.0017517606,0.00024333432,0.00020994569,0.00065747113,0.00086480955,0.51150376,0.046435237,0.15175237,0.0078050727,0.27764985],"study_design_scores_gemma":[0.00005362195,0.000087888715,0.00012983018,0.000012719105,0.00004230844,0.000068032474,0.00003604972,0.9792829,0.0033228062,0.011431846,0.005513795,0.000018069873],"about_ca_topic_score_codex":0.0028989965,"about_ca_topic_score_gemma":0.0036506718,"teacher_disagreement_score":0.0028989965,"about_ca_system_score_codex":0.00058290333,"about_ca_system_score_gemma":0.0007971689,"threshold_uncertainty_score":0.006707549},"labels":[],"label_agreement":null},{"id":"W1545563632","doi":"10.1023/a:1009499124873","title":"Configuration Maintenance for Distributed Applications Management","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Computer science","score_opus":0.009183441499180914,"score_gpt":0.22913948832518627,"score_spread":0.21995604682600536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545563632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24675238,0.0044814465,0.71623707,0.0024616397,0.00082253234,0.0003398221,0.00026810708,0.011060764,0.017576255],"genre_scores_gemma":[0.93034136,0.0003370792,0.06514751,0.00012310522,0.00015497889,0.000070002636,0.0002052796,0.00023501195,0.003385704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990683,0.00027663636,0.00009747676,0.00014061399,0.00029504317,0.00012198082],"domain_scores_gemma":[0.99621224,0.0012179246,0.0003361815,0.0013120787,0.0007327468,0.00018888438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017689167,0.0004485148,0.0004864035,0.0011680695,0.0012423333,0.0014872262,0.0017631862,0.0009109119,0.004106525],"category_scores_gemma":[0.0070587266,0.0004032608,0.00028615317,0.00092068105,0.00075302296,0.0022661649,0.00086208637,0.0012327143,0.0006537495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009940147,0.00045652973,0.0076576783,0.0002159233,0.00009673277,0.00050561485,0.0003821301,0.076876245,0.01809461,0.032905325,0.021164827,0.8406503],"study_design_scores_gemma":[0.00017590792,0.000355045,0.0065429937,0.00008261914,0.00015817367,0.0009330179,0.00021898044,0.90301204,0.021660157,0.05176233,0.015038942,0.000059837268],"about_ca_topic_score_codex":0.0023509145,"about_ca_topic_score_gemma":0.002796421,"teacher_disagreement_score":0.004106525,"about_ca_system_score_codex":0.0008081009,"about_ca_system_score_gemma":0.0010203953,"threshold_uncertainty_score":0.0137376785},"labels":[],"label_agreement":null},{"id":"W1598054903","doi":"10.1023/a:1023775117166","title":"Managing It All—A Report on IM 2003","year":2003,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.022915672193615035,"score_gpt":0.2400210439783427,"score_spread":0.21710537178472766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598054903","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042871613,0.027015338,0.011211408,0.13524134,0.017244626,0.0025319026,0.05003962,0.003108974,0.7107351],"genre_scores_gemma":[0.10667966,0.026105832,0.021352112,0.024777872,0.0028913359,0.0019740246,0.046448603,0.0011123063,0.7686582],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969862,0.0002484741,0.00015292726,0.00016473049,0.0017044266,0.0007431726],"domain_scores_gemma":[0.99484247,0.0002946198,0.0005581821,0.00026747858,0.0025299296,0.0015072835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004615525,0.0010273937,0.0005471691,0.0022604268,0.0018758936,0.007926253,0.0017969615,0.0039315363,0.015577936],"category_scores_gemma":[0.005009673,0.00044443167,0.0005807539,0.0036528336,0.00037698128,0.0036329923,0.0025739048,0.0025412887,0.008135233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017866137,0.00017449955,0.0025545,0.00019477955,0.000013433279,0.00013730173,0.00023364477,0.00032781117,0.0010000414,0.0036697376,0.9301374,0.06137827],"study_design_scores_gemma":[0.000019289097,0.00007011388,0.008958342,0.00014411371,0.000016368025,0.00006735677,0.0006418387,0.00031163165,0.0019584121,0.00039622845,0.98739994,0.000016321404],"about_ca_topic_score_codex":0.076893575,"about_ca_topic_score_gemma":0.0977041,"teacher_disagreement_score":0.076893575,"about_ca_system_score_codex":0.0062563904,"about_ca_system_score_gemma":0.02596368,"threshold_uncertainty_score":0.152892},"labels":[],"label_agreement":null},{"id":"W1606159294","doi":"10.1023/a:1011319226517","title":"On the Design of Link-State Routing Protocol for Connection-Oriented Networks","year":2001,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Link-state routing protocol; Zone Routing Protocol; Static routing; Routing protocol; Distributed computing; Dynamic Source Routing; Enhanced Interior Gateway Routing Protocol; Policy-based routing; Wireless Routing Protocol; Multipath routing; Routing (electronic design automation)","score_opus":0.029510284028443686,"score_gpt":0.25715357872969247,"score_spread":0.22764329470124878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606159294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013124918,0.0012444198,0.9773208,0.0003974372,0.00020019038,0.00031830563,0.000046803892,0.0003977942,0.006949378],"genre_scores_gemma":[0.55466443,0.0034037489,0.4354658,0.00037443714,0.00029905222,0.000830478,0.00024820975,0.00022878192,0.0044851205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818534,0.0007739244,0.00013612899,0.00015891796,0.0005830945,0.00016260314],"domain_scores_gemma":[0.99844754,0.0007082608,0.00011440609,0.0001778849,0.0004901756,0.00006178972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002661558,0.00092357915,0.0008844138,0.0011067315,0.0013395931,0.002301957,0.0019021255,0.0010310885,0.002267442],"category_scores_gemma":[0.005368129,0.0006776322,0.00059622305,0.0009365053,0.0010232609,0.001891313,0.0012448208,0.0011566652,0.00057437486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003924291,0.0001424714,0.0010029713,0.0006059525,0.0001901042,0.00029528758,0.00042944626,0.51884055,0.016774878,0.28999344,0.0067748786,0.16455755],"study_design_scores_gemma":[0.00006799253,0.0001788456,0.00013338661,0.00007836886,0.00013854099,0.00015623175,0.00005453037,0.9296919,0.0042438763,0.054204777,0.011018494,0.0000331433],"about_ca_topic_score_codex":0.0020023012,"about_ca_topic_score_gemma":0.003489592,"teacher_disagreement_score":0.002661558,"about_ca_system_score_codex":0.0012787057,"about_ca_system_score_gemma":0.0016278914,"threshold_uncertainty_score":0.014075816},"labels":[],"label_agreement":null},{"id":"W194751070","doi":"10.1023/a:1021106425627","title":"Guest Editorial: Internet Traffic Engineering and Management","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Computer science","score_opus":0.009438338585398897,"score_gpt":0.18305466228640743,"score_spread":0.17361632370100855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194751070","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013053967,0.0032351601,0.00021007296,0.022603773,0.97236824,0.000019518895,0.000051718176,0.00005927347,0.0013217542],"genre_scores_gemma":[0.0010522297,0.0023658928,0.00010495702,0.0073639974,0.9826027,0.000017609533,0.000034789853,0.000034648703,0.006423247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997479,0.00033286161,0.00031717107,0.0004983374,0.0010887177,0.00028393316],"domain_scores_gemma":[0.9843098,0.0039701345,0.0013263187,0.00054126524,0.0072327964,0.0026197752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003649902,0.004771668,0.004832569,0.004321316,0.002391375,0.0069109397,0.0036437998,0.01591421,0.013516073],"category_scores_gemma":[0.015864618,0.0016352992,0.002698869,0.0017224672,0.0017793594,0.003194874,0.0012381863,0.016355915,0.0094682425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008216446,0.000048789214,0.00009220403,0.00021800656,0.000036667767,0.00029095903,0.0000074595896,0.00007441439,0.0001366809,0.00038410895,0.9924045,0.0062240427],"study_design_scores_gemma":[0.00020072819,0.000115733004,0.001459391,0.00031492123,0.00021886535,0.00092330476,0.000041616586,0.0013181476,0.00048266762,0.0016887565,0.9931946,0.000041322975],"about_ca_topic_score_codex":0.0008190325,"about_ca_topic_score_gemma":0.0017881622,"teacher_disagreement_score":0.01591421,"about_ca_system_score_codex":0.0023808912,"about_ca_system_score_gemma":0.0012544685,"threshold_uncertainty_score":0.045215726},"labels":[],"label_agreement":null},{"id":"W1964853784","doi":"10.1007/s10922-010-9176-7","title":"Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Access Control and Trust","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Intrusion detection system; Trustworthiness; Incentive; Computer security; Host (biology); Network security; Robustness (evolution); Trust management (information system); Intrusion; Control (management); Collaborative network; Computer network; Knowledge management; Artificial intelligence","score_opus":0.009060541253302924,"score_gpt":0.26527602042971704,"score_spread":0.25621547917641413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964853784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15909049,0.00034892635,0.83693594,0.00073441473,0.00013095743,0.00014445983,0.0000401929,0.00062961463,0.0019449469],"genre_scores_gemma":[0.9847157,0.000036704656,0.014627958,0.000026716272,0.00004042671,0.00002281932,0.000014618131,0.000012449696,0.0005027095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99353397,0.0025407434,0.000579488,0.0008609642,0.0015313468,0.0009534582],"domain_scores_gemma":[0.96996886,0.018662488,0.0033167202,0.0031119157,0.0034375244,0.0015024293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009004825,0.0005556849,0.0017469316,0.0010578769,0.0016712744,0.004377714,0.0023064702,0.0014998605,0.0013547105],"category_scores_gemma":[0.03674369,0.00054413493,0.00072468934,0.0008340855,0.0024017263,0.004547264,0.0028684242,0.0027275432,0.00020444219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002281641,0.0008928965,0.018634843,0.00015575273,0.00044192202,0.00060059916,0.0017402079,0.62995493,0.012858277,0.1220641,0.0035328197,0.20684199],"study_design_scores_gemma":[0.000017294706,0.000045147466,0.00045034604,0.0000036921153,0.00002581993,0.00003715139,0.000039246723,0.9865893,0.001117572,0.011500939,0.00015914823,0.000014350865],"about_ca_topic_score_codex":0.0067527536,"about_ca_topic_score_gemma":0.0052855113,"teacher_disagreement_score":0.009004825,"about_ca_system_score_codex":0.002538806,"about_ca_system_score_gemma":0.0029042154,"threshold_uncertainty_score":0.04762268},"labels":[],"label_agreement":null},{"id":"W1965655085","doi":"10.1023/b:jons.0000034296.50817.83","title":"Managing Next Generation Convergence Networks and Services—A Report on NOMS 2004","year":2004,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Convergence (economics); Telecommunications; Computer security; Computer network","score_opus":0.023616610516830255,"score_gpt":0.2002947469098185,"score_spread":0.17667813639298824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965655085","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20460506,0.025491482,0.092168294,0.09540001,0.010249332,0.005647491,0.025425578,0.004766855,0.53624594],"genre_scores_gemma":[0.45440155,0.027163798,0.12908965,0.008549758,0.0027892345,0.0027485432,0.041661702,0.0009833159,0.33261243],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99600273,0.0009972919,0.00018265472,0.00015557348,0.0019607367,0.00070102897],"domain_scores_gemma":[0.991879,0.0011264778,0.0009335214,0.0005905602,0.0039558047,0.001514739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009913249,0.0007364068,0.00049869367,0.002188769,0.0025640433,0.0043362016,0.0017583868,0.0025890614,0.0068113506],"category_scores_gemma":[0.00964782,0.00041593963,0.00051923434,0.0030197462,0.00048293077,0.0051794476,0.002152696,0.0014606647,0.0017562797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049335347,0.00058499107,0.019468708,0.0005982121,0.00008989469,0.000562017,0.0010630669,0.016321618,0.005314683,0.025480019,0.65755576,0.2724677],"study_design_scores_gemma":[0.000052335334,0.0003012072,0.015847936,0.00033501722,0.00007115134,0.0002484089,0.0017605249,0.009702549,0.0055046137,0.0030017134,0.9631269,0.000047588695],"about_ca_topic_score_codex":0.050433,"about_ca_topic_score_gemma":0.06176549,"teacher_disagreement_score":0.050433,"about_ca_system_score_codex":0.004327775,"about_ca_system_score_gemma":0.014532498,"threshold_uncertainty_score":0.100278914},"labels":[],"label_agreement":null},{"id":"W1973208472","doi":"10.1007/s10922-009-9124-6","title":"Operations Research Methods for Autonomic Resource Management","year":2009,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Process management; Knowledge management; Business","score_opus":0.050981478103081346,"score_gpt":0.36595400759125124,"score_spread":0.3149725294881699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973208472","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010652978,0.001979023,0.99231887,0.00068362005,0.00028695597,0.00006484194,0.000080527345,0.00008727884,0.0034335358],"genre_scores_gemma":[0.19442014,0.008809247,0.77986985,0.000520686,0.0020920264,0.0016683638,0.0005820649,0.00025967805,0.011777888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9919561,0.005912223,0.00034696324,0.00044585878,0.0011068922,0.00023191547],"domain_scores_gemma":[0.97107935,0.024361936,0.0010158796,0.0015577354,0.0016531962,0.0003318463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014288078,0.002221714,0.0025464986,0.0030254063,0.0009700079,0.0035868443,0.002052241,0.001821346,0.0075834324],"category_scores_gemma":[0.031700455,0.00082766067,0.0014163959,0.0038321265,0.0022804618,0.0034756253,0.0022094955,0.0041432874,0.0011686722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103364,0.00019617773,0.00087156054,0.0003394731,0.00021017573,0.00007107682,0.00012224744,0.1607468,0.0002645301,0.69596803,0.010156899,0.13094956],"study_design_scores_gemma":[0.00004261274,0.000025344263,0.00016946178,0.000057965703,0.000038900416,0.000026699656,0.00004840533,0.4609211,0.00011630854,0.532536,0.0060037924,0.000013398467],"about_ca_topic_score_codex":0.0036666861,"about_ca_topic_score_gemma":0.002316316,"teacher_disagreement_score":0.014288078,"about_ca_system_score_codex":0.0018274453,"about_ca_system_score_gemma":0.003997046,"threshold_uncertainty_score":0.07556349},"labels":[],"label_agreement":null},{"id":"W1989003109","doi":"10.1007/s10922-007-9083-8","title":"Policy-based Management: A Historical Perspective","year":2007,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Access Control and Trust","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rotation formalisms in three dimensions; Computer science; Perspective (graphical); Focus (optics); Management science; Data science; Software engineering; Artificial intelligence","score_opus":0.018217475541571118,"score_gpt":0.2987556917135049,"score_spread":0.2805382161719338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989003109","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011097657,0.32728162,0.038339768,0.19651687,0.0052408166,0.00008356232,0.0001675147,0.00009835406,0.421174],"genre_scores_gemma":[0.6499346,0.2648078,0.0114566265,0.028290253,0.012597681,0.00021056751,0.00011907361,0.00015796126,0.032425527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99628145,0.0017842283,0.00022903447,0.00062388333,0.0006587128,0.00042275435],"domain_scores_gemma":[0.99061066,0.006486232,0.00066301797,0.00052492524,0.0010552513,0.000659846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010043883,0.0008236576,0.00085089525,0.004498713,0.0036712056,0.015651919,0.0020639698,0.008644006,0.0063005807],"category_scores_gemma":[0.010857268,0.00069729576,0.00044871747,0.0070169806,0.032139473,0.018339947,0.0034339826,0.009830069,0.0008580001],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066272005,0.000018282815,0.000090476424,0.000054685363,0.0000033371743,0.000022699971,0.0005051192,0.0002484364,0.000018997347,0.9899787,0.002361027,0.0066916724],"study_design_scores_gemma":[0.000014123738,0.0000477085,0.0006186384,0.0008444486,0.000009156949,0.00014008475,0.0012607832,0.001067076,0.0001604541,0.61246794,0.38333476,0.00003491334],"about_ca_topic_score_codex":0.01051203,"about_ca_topic_score_gemma":0.006592054,"teacher_disagreement_score":0.01904266,"about_ca_system_score_codex":0.01904266,"about_ca_system_score_gemma":0.006941494,"threshold_uncertainty_score":0.13816476},"labels":[],"label_agreement":null},{"id":"W1997448354","doi":"10.1007/s10922-006-9042-9","title":"Transmission Link Dimensioning and Service Assignment for Differentiated Protection","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Dimensioning; Computer science; Survivability; Transmission (telecommunications); Reliability (semiconductor); Computer network; Mathematical optimization; Service (business); Link (geometry); Distributed computing; Session (web analytics); Telecommunications","score_opus":0.02169622228251448,"score_gpt":0.24747677780108204,"score_spread":0.22578055551856757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997448354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08799571,0.0004885114,0.9039459,0.00038176498,0.00011052774,0.000072490555,0.00008731531,0.0002119502,0.006705803],"genre_scores_gemma":[0.9072583,0.00021190014,0.08992199,0.00008023845,0.00008515889,0.000041677053,0.000051619223,0.00003575675,0.0023134197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999161,0.00035330278,0.000035551642,0.0001634253,0.00013508555,0.00015172643],"domain_scores_gemma":[0.99615127,0.0022388287,0.00031147586,0.00065104314,0.0004488059,0.00019861262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016329219,0.0004572752,0.00073915656,0.00065638224,0.0007469759,0.001361149,0.0011692673,0.0005722424,0.0038992502],"category_scores_gemma":[0.0066736774,0.0003802938,0.0003249215,0.0011915938,0.00096704444,0.0019059986,0.0011097642,0.0011538414,0.00028521565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065960217,0.00019830694,0.0017247207,0.00016795346,0.00005530771,0.00016002459,0.0003197022,0.49776787,0.0156849,0.23335561,0.003464407,0.2464415],"study_design_scores_gemma":[0.000032771844,0.00009558591,0.00060757843,0.000017715558,0.000038948016,0.00010150594,0.000045888213,0.9130124,0.0023034106,0.08186564,0.001858245,0.000020406356],"about_ca_topic_score_codex":0.0021434329,"about_ca_topic_score_gemma":0.0029771025,"teacher_disagreement_score":0.0038992502,"about_ca_system_score_codex":0.001263738,"about_ca_system_score_gemma":0.0011326273,"threshold_uncertainty_score":0.013044298},"labels":[],"label_agreement":null},{"id":"W2009255782","doi":"10.1007/s10922-014-9324-6","title":"How Robust Can a Machine Learning Approach Be for Classifying Encrypted VoIP?","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Traffic classification; Deep packet inspection; Encryption; Voice over IP; Computer network; Traffic generation model; Firewall (physics); Network security; Internet traffic; Network packet; The Internet; Payload (computing); Quality of service; Traffic analysis; Computer security","score_opus":0.028996329234280496,"score_gpt":0.2166735818630921,"score_spread":0.1876772526288116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009255782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17613886,0.0059753377,0.77689373,0.029175704,0.0017913936,0.00018310767,0.0009026535,0.0024309182,0.006508261],"genre_scores_gemma":[0.9033493,0.0013550224,0.08763682,0.0021900635,0.0018948107,0.0000946207,0.0005648695,0.00020385651,0.0027107222],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9915168,0.0032948875,0.00076632533,0.0016365995,0.002313535,0.00047198407],"domain_scores_gemma":[0.9595594,0.024912257,0.0024126605,0.0063116746,0.006187061,0.0006170352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019593157,0.0017491416,0.0025849433,0.0027831635,0.0010249013,0.005941075,0.0024405038,0.006004,0.001932868],"category_scores_gemma":[0.09767465,0.0006819437,0.001541664,0.0014594203,0.0030585742,0.00893719,0.001664306,0.004338273,0.0027976152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089536316,0.00049794797,0.052616898,0.0003299189,0.0016456475,0.00022971991,0.00020983304,0.19669801,0.007189,0.018018937,0.014728593,0.70694005],"study_design_scores_gemma":[0.000044565677,0.00019283987,0.00795126,0.00014619758,0.00017126542,0.00031898334,0.00032040928,0.9102209,0.0075598285,0.068871714,0.0041113114,0.00009068477],"about_ca_topic_score_codex":0.0033938552,"about_ca_topic_score_gemma":0.0012895757,"teacher_disagreement_score":0.019593157,"about_ca_system_score_codex":0.0011334379,"about_ca_system_score_gemma":0.0009943357,"threshold_uncertainty_score":0.103619814},"labels":[],"label_agreement":null},{"id":"W2010676865","doi":"10.1023/a:1019810526535","title":"DORA: Efficient Routing for MPLS Traffic Engineering","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Multiprotocol Label Switching; Bandwidth (computing); Routing (electronic design automation); Distributed computing; Path (computing); Computation; Quality of service; Algorithm","score_opus":0.01313260753362974,"score_gpt":0.19608349355599974,"score_spread":0.18295088602237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010676865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021708332,0.0006514584,0.9123157,0.00047336245,0.0005133415,0.00021731635,0.00063411164,0.049123112,0.014363207],"genre_scores_gemma":[0.21556413,0.00046185873,0.7606055,0.00040150352,0.00021608241,0.00022673896,0.0014627408,0.0025596423,0.018501839],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995561,0.0000992063,0.000019150977,0.00006255353,0.00020282542,0.00006015009],"domain_scores_gemma":[0.99950683,0.00014163513,0.000038018487,0.0001860816,0.00008193492,0.00004547163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922767,0.0008211257,0.00064591976,0.00081607996,0.0005514672,0.0010581259,0.0014413656,0.00058453204,0.00759001],"category_scores_gemma":[0.0012887015,0.00042982982,0.0003975749,0.0003688867,0.00042600516,0.0010254454,0.0012532335,0.001066127,0.002785822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011716947,0.00041690283,0.001213084,0.00043163355,0.00015473149,0.00023622814,0.00014342472,0.08769276,0.09566361,0.0673134,0.080709316,0.6648532],"study_design_scores_gemma":[0.00025117083,0.00016910835,0.0003928109,0.000021133656,0.00004422141,0.00023685065,0.000027184276,0.8872471,0.043736503,0.021445224,0.046375334,0.000053437587],"about_ca_topic_score_codex":0.0007753168,"about_ca_topic_score_gemma":0.0022035178,"teacher_disagreement_score":0.00759001,"about_ca_system_score_codex":0.0005294903,"about_ca_system_score_gemma":0.00061450794,"threshold_uncertainty_score":0.025391042},"labels":[],"label_agreement":null},{"id":"W2015894516","doi":"10.1023/b:jons.0000034215.58853.91","title":"Virtual Traffic Path Optimization in Connection-Oriented Networks with Stochastic Traffic","year":2004,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Network packet; Computer network; Traffic generation model; Distributed computing; Traffic flow (computer networking); Traffic engineering; Path (computing); Connection (principal bundle)","score_opus":0.005880640879010847,"score_gpt":0.18928928586465313,"score_spread":0.18340864498564227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015894516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23820327,0.0007885078,0.75352955,0.0009927549,0.00016445744,0.00013762784,0.00023351701,0.00026801164,0.005682213],"genre_scores_gemma":[0.9728,0.00038668266,0.023380786,0.000103182356,0.000057770314,0.000078809484,0.00010551266,0.00007363597,0.0030136337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987758,0.00066593394,0.00003248737,0.0001403806,0.00014195083,0.00024345437],"domain_scores_gemma":[0.9945909,0.004070919,0.00045772817,0.00011552956,0.00041504757,0.00034987862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030146854,0.0012922358,0.0020581873,0.0012212895,0.0008667835,0.0018847622,0.0019081996,0.0016706215,0.0022603334],"category_scores_gemma":[0.007108002,0.0013815127,0.0007278919,0.0015955376,0.0017562372,0.0019750362,0.0014761068,0.0011034643,0.0001531252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055833276,0.000015600763,0.00012225863,0.00001428072,0.000016295879,0.000015987107,0.000008206916,0.9921715,0.00013019377,0.005741763,0.00026123135,0.001446837],"study_design_scores_gemma":[0.000007013045,0.000012541942,0.000036273046,0.0000016179256,0.000004497359,0.0000036271608,0.0000034888951,0.9959914,0.000030410014,0.0038684001,0.00003834209,0.0000023982736],"about_ca_topic_score_codex":0.007164742,"about_ca_topic_score_gemma":0.005952883,"teacher_disagreement_score":0.007164742,"about_ca_system_score_codex":0.0025146813,"about_ca_system_score_gemma":0.0019947998,"threshold_uncertainty_score":0.01824534},"labels":[],"label_agreement":null},{"id":"W2023487922","doi":"10.1007/s10922-008-9103-3","title":"Report of the 2nd Workshop on Autonomic Communications and Network Management (ACNM 2008)","year":2008,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Telecommunications","score_opus":0.02919975794296728,"score_gpt":0.2437005723759477,"score_spread":0.2145008144329804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023487922","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047556527,0.058203656,0.30684415,0.1635487,0.2193399,0.00328346,0.0071608718,0.0047419365,0.18932083],"genre_scores_gemma":[0.11408142,0.03468484,0.12901683,0.0149313845,0.04306304,0.001645913,0.01611186,0.002261853,0.6442029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955686,0.0011586982,0.00014711343,0.0005246617,0.0019458137,0.00065513543],"domain_scores_gemma":[0.9893322,0.001965859,0.00034915336,0.0008484804,0.0048496667,0.0026546551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011458422,0.0016326607,0.0016806346,0.0018134604,0.001522523,0.005528371,0.0021268385,0.0034624708,0.034859385],"category_scores_gemma":[0.008517405,0.00055142964,0.0011527219,0.0011990144,0.0009595869,0.0038065226,0.0035849223,0.0049616755,0.0102066025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007305763,0.0006175877,0.0018209354,0.00040621727,0.00007428732,0.00033949432,0.00044289342,0.0031947747,0.0040346314,0.0073824907,0.796562,0.18439412],"study_design_scores_gemma":[0.00020987546,0.00056875416,0.0049495106,0.00044606405,0.00017859117,0.00038315085,0.0006834778,0.012406714,0.008641703,0.0082280245,0.96318936,0.000114700946],"about_ca_topic_score_codex":0.008614949,"about_ca_topic_score_gemma":0.012433408,"teacher_disagreement_score":0.034859385,"about_ca_system_score_codex":0.0018758257,"about_ca_system_score_gemma":0.0037415186,"threshold_uncertainty_score":0.11661625},"labels":[],"label_agreement":null},{"id":"W2028088816","doi":"10.1007/s10922-014-9311-y","title":"Optical Networks Control and Management","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Scalability; Computer network; Optical path; Distributed computing; Network management; Key (lock); Network element; Optical Transport Network; Energy consumption; Resource management (computing); Software-defined networking; Passive optical network; Wavelength-division multiplexing; Computer security","score_opus":0.005113554136881668,"score_gpt":0.1903103911002325,"score_spread":0.18519683696335085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028088816","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049928453,0.009749807,0.53103286,0.0066097677,0.0040609674,0.00046687006,0.0004073595,0.0017987364,0.39594522],"genre_scores_gemma":[0.77804,0.004831747,0.029844735,0.0006530403,0.0013838666,0.00016578376,0.0002898606,0.000079940575,0.18471096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952614,0.000051243605,0.000022756634,0.00007613963,0.00027124782,0.00005257867],"domain_scores_gemma":[0.999413,0.000071254726,0.000061560415,0.00011412183,0.00030707024,0.00003299884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006635895,0.0004590634,0.00025605035,0.0007449282,0.000880717,0.002799831,0.0006844384,0.00055481086,0.0071484013],"category_scores_gemma":[0.0011650387,0.000146091,0.00019491998,0.0005524439,0.0005977044,0.0013575417,0.0006647105,0.0005878925,0.0013992045],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011925304,0.00025318275,0.0018744031,0.00014431286,0.000051765383,0.00013898789,0.00018051635,0.04541887,0.02480983,0.31079394,0.043266308,0.5729486],"study_design_scores_gemma":[0.000043539167,0.0002238279,0.004580209,0.00012747006,0.000073011244,0.00023813921,0.00022709795,0.4816912,0.027648024,0.12472287,0.36034513,0.00007946449],"about_ca_topic_score_codex":0.004988642,"about_ca_topic_score_gemma":0.0039904355,"teacher_disagreement_score":0.0071484013,"about_ca_system_score_codex":0.0013416429,"about_ca_system_score_gemma":0.0014919555,"threshold_uncertainty_score":0.0239138},"labels":[],"label_agreement":null},{"id":"W2051986143","doi":"10.1007/s10922-010-9192-7","title":"A Report on CNSM 2010","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"College of Natural Sciences and Mathematics, University of Central Arkansas; University of Waterloo; VMware","keywords":"Computer science; Telecommunications; Network management; Service (business); Track (disk drive); Engineering management; Service management; Computer network; Operating system; Engineering; Business","score_opus":0.01340539567923145,"score_gpt":0.229617487628412,"score_spread":0.21621209194918056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051986143","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030830309,0.007328218,0.012161892,0.03835847,0.04977076,0.0032553447,0.06631818,0.0049713925,0.7870055],"genre_scores_gemma":[0.034281775,0.0031818743,0.0088881785,0.004882837,0.0033840092,0.0006659275,0.04112315,0.0009422212,0.90265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969079,0.0002857961,0.00011878764,0.00019416022,0.0020318702,0.0004614495],"domain_scores_gemma":[0.9925523,0.00041711857,0.00025881123,0.0005239446,0.004341237,0.001906678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004030075,0.00084236375,0.00055803644,0.0044086874,0.0017660016,0.003065912,0.0017872755,0.0021160336,0.064616166],"category_scores_gemma":[0.006582184,0.00023556036,0.00060872914,0.0022725663,0.00038410054,0.0014424627,0.0016990207,0.0014911771,0.040400732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002820716,0.00026970316,0.001870767,0.0001656075,0.000012324269,0.00026291108,0.000074991854,0.00039820504,0.0025930188,0.0038822663,0.92775494,0.062433187],"study_design_scores_gemma":[0.000021953972,0.00008063582,0.002878591,0.000036086105,0.000007268631,0.00006295911,0.000055599223,0.00030087685,0.0016497137,0.0002911133,0.99460644,0.000008887946],"about_ca_topic_score_codex":0.043762673,"about_ca_topic_score_gemma":0.05206391,"teacher_disagreement_score":0.064616166,"about_ca_system_score_codex":0.0036353304,"about_ca_system_score_gemma":0.014156045,"threshold_uncertainty_score":0.21616262},"labels":[],"label_agreement":null},{"id":"W2052376255","doi":"10.1007/s10922-010-9166-9","title":"An Efficient and Secure Self-Healing Scheme for LKH","year":2010,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University; Polytechnique Montréal","funders":"","keywords":"Computer science; Rekeying; Computer network; Secure multicast; Retransmission; Multicast; Scalability; Network packet; Overhead (engineering); Distributed computing; Key management; Encryption; Reliable multicast; Source-specific multicast; Operating system","score_opus":0.008577229245875355,"score_gpt":0.24119343217517736,"score_spread":0.232616202929302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052376255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20391841,0.001204774,0.7779138,0.0011093396,0.00045475658,0.00060093106,0.00043112104,0.0032409066,0.0111260135],"genre_scores_gemma":[0.90710473,0.00018628167,0.08463047,0.00020240962,0.00007695758,0.0001863332,0.00022234673,0.000053846412,0.0073365094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993507,0.000118285534,0.00005711335,0.00009265171,0.00022763459,0.00015359929],"domain_scores_gemma":[0.9989134,0.00026316175,0.00012407714,0.00043753092,0.00018163088,0.000080284066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005581878,0.00029352363,0.0008184079,0.0004821123,0.001273269,0.0009626582,0.0010671482,0.0006680701,0.0026499853],"category_scores_gemma":[0.0013317493,0.00022200408,0.00029880874,0.0005403628,0.0006564623,0.0017940626,0.0026466425,0.00086944405,0.00071500515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038210996,0.0006385637,0.0024182347,0.0009625882,0.00016624633,0.0008302901,0.0013650887,0.047193713,0.27728125,0.14028594,0.01632876,0.5087083],"study_design_scores_gemma":[0.000570402,0.0012002185,0.0019100418,0.00010694237,0.00017516207,0.0014119309,0.000564308,0.7562516,0.09932789,0.108399406,0.02987793,0.00020419313],"about_ca_topic_score_codex":0.00040006093,"about_ca_topic_score_gemma":0.0006424191,"teacher_disagreement_score":0.0026499853,"about_ca_system_score_codex":0.0007332174,"about_ca_system_score_gemma":0.001121864,"threshold_uncertainty_score":0.008865118},"labels":[],"label_agreement":null},{"id":"W2058212121","doi":"10.1007/s10922-006-9046-5","title":"Report on Policy 2006: Workshop on Policies for Distributed Systems and Networks","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Telecommunications; Computer security; Distributed computing; Operations research","score_opus":0.01316905312368956,"score_gpt":0.2495271161847056,"score_spread":0.23635806306101603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058212121","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014362107,0.020149184,0.4093146,0.2547877,0.06579419,0.004637701,0.0230972,0.0099193035,0.19793804],"genre_scores_gemma":[0.09188466,0.03231002,0.31813246,0.026836466,0.026522692,0.003923179,0.06274457,0.007380179,0.4302658],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9869183,0.0045401417,0.00063338195,0.0012198747,0.005323917,0.0013644124],"domain_scores_gemma":[0.952055,0.019360224,0.0012040278,0.0059529846,0.014836436,0.0065912106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031207085,0.004001912,0.0036415174,0.0029597343,0.0033526404,0.011367114,0.0047185123,0.0075578135,0.054922417],"category_scores_gemma":[0.035938323,0.0013748799,0.002043386,0.0033077172,0.0022552665,0.018689977,0.0061043254,0.011325858,0.01383843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005296965,0.0005907574,0.0009837426,0.00044665684,0.00006166112,0.0001417459,0.00042148947,0.0065379045,0.00131994,0.04872903,0.86999947,0.07023797],"study_design_scores_gemma":[0.00026308204,0.00019822335,0.0009437814,0.00056560605,0.00008887156,0.0001202078,0.0005321161,0.019276978,0.00511087,0.042121954,0.93068427,0.00009415451],"about_ca_topic_score_codex":0.027286315,"about_ca_topic_score_gemma":0.016285839,"teacher_disagreement_score":0.054922417,"about_ca_system_score_codex":0.005984765,"about_ca_system_score_gemma":0.016825428,"threshold_uncertainty_score":0.18373376},"labels":[],"label_agreement":null},{"id":"W2060350150","doi":"10.1007/s10922-013-9271-7","title":"Policy and Charging Control for Virtual IMS Client","year":2013,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; IP Multimedia Subsystem; Computer network; Session (web analytics); Terminal (telecommunication); Quality of service; Provisioning; Architecture; Service (business); World Wide Web","score_opus":0.006865891817779751,"score_gpt":0.20825384574815112,"score_spread":0.20138795393037137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060350150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20136672,0.00071756187,0.6161273,0.0062733977,0.001285143,0.00085385446,0.0005955012,0.0060900776,0.1666904],"genre_scores_gemma":[0.98062414,0.00006233742,0.010778534,0.00030871935,0.00009692585,0.000052695206,0.000064026324,0.00012377182,0.007888874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9931463,0.0018393822,0.0004575854,0.00077080657,0.0021326903,0.0016532511],"domain_scores_gemma":[0.990146,0.0047441972,0.00049495016,0.0016431196,0.0023331335,0.00063857203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0087925885,0.0005191455,0.0011026867,0.0017320828,0.0022856123,0.009509412,0.0029338885,0.0019308552,0.01355706],"category_scores_gemma":[0.024389958,0.00057478534,0.0005599772,0.0012283542,0.0015000455,0.0040349183,0.0019685624,0.0023453382,0.0017302295],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016480925,0.0005316045,0.004753136,0.00012518188,0.000102087295,0.0005177878,0.0009552429,0.112646595,0.011629957,0.71846443,0.024465894,0.12415996],"study_design_scores_gemma":[0.00008451454,0.00012491546,0.0011745169,0.00004146878,0.00006256614,0.00030795136,0.00030916018,0.84269243,0.0082616825,0.13405766,0.01280298,0.00008021403],"about_ca_topic_score_codex":0.0053953016,"about_ca_topic_score_gemma":0.003522414,"teacher_disagreement_score":0.01355706,"about_ca_system_score_codex":0.0045733694,"about_ca_system_score_gemma":0.003965787,"threshold_uncertainty_score":0.046500266},"labels":[],"label_agreement":null},{"id":"W2064126416","doi":"10.1007/s10922-011-9212-2","title":"Forward-Looking WDM Network Reconfiguration with Per-Link Congestion Control","year":2011,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Communications Research Centre Canada","funders":"","keywords":"Computer science; Control reconfiguration; Computer network; Wavelength-division multiplexing; Network congestion; Multiplexing; Resource (disambiguation); Session (web analytics); Distributed computing; Resource allocation; Telecommunications; Wavelength","score_opus":0.012335479421181465,"score_gpt":0.1922094925447508,"score_spread":0.17987401312356935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064126416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21643692,0.0005798532,0.76643157,0.00057132775,0.00043445008,0.00017304922,0.00013127242,0.0039945343,0.011247016],"genre_scores_gemma":[0.9478156,0.00004484804,0.049623773,0.00008370011,0.000052268664,0.000023782977,0.00003741559,0.00004500502,0.0022733917],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995715,0.00009683836,0.00002048898,0.00010174602,0.00012179913,0.00008768856],"domain_scores_gemma":[0.99926275,0.00020507409,0.00009152633,0.00021157374,0.00017267388,0.000056325014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067091995,0.00055175665,0.0006364177,0.0005273658,0.000626941,0.0007787777,0.001199277,0.00052420294,0.0025743674],"category_scores_gemma":[0.001431351,0.00031460047,0.00033823197,0.0003465974,0.00043315862,0.001305759,0.00061785633,0.00076136575,0.0003261098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024472983,0.0005752032,0.0016607017,0.00021630806,0.00015612495,0.00060989073,0.00023753212,0.3024688,0.20958681,0.01667445,0.006896602,0.45847026],"study_design_scores_gemma":[0.000092663846,0.00031744584,0.00065116753,0.000009590881,0.000052033916,0.00028514018,0.000029222443,0.9606826,0.029733669,0.0068552066,0.0012545898,0.000036732137],"about_ca_topic_score_codex":0.0011140594,"about_ca_topic_score_gemma":0.0029248232,"teacher_disagreement_score":0.0025743674,"about_ca_system_score_codex":0.0005291271,"about_ca_system_score_gemma":0.00071305083,"threshold_uncertainty_score":0.008612096},"labels":[],"label_agreement":null},{"id":"W2074556084","doi":"10.1007/s10922-014-9331-7","title":"Online Incremental Clock Synchronization","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Timestamp; Distributed computing; Network Time Protocol; Synchronization (alternating current); Real-time computing; Clock synchronization; Tracing; Overhead (engineering); Data synchronization; Key (lock); Granularity; Protocol (science); TRACE (psycholinguistics); Computer network; Time synchronization; Wireless sensor network; Channel (broadcasting)","score_opus":0.009062417775400561,"score_gpt":0.2146911380750856,"score_spread":0.20562872029968504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074556084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04443401,0.0006684325,0.91360116,0.0007249392,0.0011376408,0.00017000537,0.00046374946,0.006894072,0.03190601],"genre_scores_gemma":[0.7748356,0.00037309228,0.20841278,0.00025820607,0.0004544362,0.0001456615,0.0008890944,0.0004153384,0.014215869],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989992,0.00015761219,0.00005712016,0.00024014545,0.0004047947,0.0001411559],"domain_scores_gemma":[0.9972031,0.00077625026,0.00016761084,0.0010878193,0.00059977855,0.0001655463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080822146,0.0006880954,0.0008103708,0.0010680198,0.00079641904,0.0014801394,0.0015146399,0.00070476456,0.013525104],"category_scores_gemma":[0.00573142,0.00033595576,0.0003064034,0.001253809,0.0005322823,0.0027250007,0.0025885073,0.0011780295,0.0025111744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022738161,0.00039154972,0.0020345002,0.00025085962,0.00006356846,0.00035059487,0.000206847,0.081698686,0.043274432,0.1112225,0.032056987,0.7261756],"study_design_scores_gemma":[0.00016751363,0.00018239146,0.0009043489,0.000032570766,0.00006537258,0.00026361537,0.000088566,0.89046305,0.03144635,0.047185507,0.029159473,0.000041203046],"about_ca_topic_score_codex":0.0013686514,"about_ca_topic_score_gemma":0.001786636,"teacher_disagreement_score":0.013525104,"about_ca_system_score_codex":0.00056914927,"about_ca_system_score_gemma":0.0014235114,"threshold_uncertainty_score":0.045245945},"labels":[],"label_agreement":null},{"id":"W2075783342","doi":"10.1007/s10922-006-9039-4","title":"Clustering in WSN with Latency and Energy Consumption Constraints","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cluster analysis; Energy consumption; Latency (audio); Wireless sensor network; Distributed computing; Architecture; Cluster (spacecraft); Computer network; Artificial intelligence","score_opus":0.008560486810825288,"score_gpt":0.19149927715962553,"score_spread":0.18293879034880023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075783342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09150741,0.0013468321,0.9017021,0.0009803025,0.00011352581,0.00011524103,0.00023335186,0.000306054,0.0036950635],"genre_scores_gemma":[0.8873446,0.0014114134,0.1005076,0.00011787015,0.00019018445,0.00018016521,0.00022169958,0.00022994987,0.009796615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912673,0.00025743828,0.000053281663,0.00018894566,0.00021948892,0.00015414135],"domain_scores_gemma":[0.9961183,0.0025637322,0.00042111316,0.00022851526,0.00046788363,0.00020046328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002242995,0.00069819705,0.0013871394,0.0008645382,0.000973304,0.0012393774,0.002137367,0.0011742925,0.0016452248],"category_scores_gemma":[0.0064739548,0.0008385182,0.0004931354,0.0020537367,0.0008458694,0.0025505752,0.0012992239,0.0008638362,0.00023286416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001496832,0.000047782258,0.00060698064,0.00014565632,0.000034407996,0.0000895463,0.00007808096,0.9521126,0.0030355821,0.028845137,0.0010431864,0.013811252],"study_design_scores_gemma":[0.000009787205,0.000026992124,0.00019807661,0.000005000818,0.000011702775,0.000033272732,0.000029963701,0.98694885,0.0006245398,0.01168807,0.000415704,0.000008118244],"about_ca_topic_score_codex":0.0052635004,"about_ca_topic_score_gemma":0.0070734266,"teacher_disagreement_score":0.0052635004,"about_ca_system_score_codex":0.0019855788,"about_ca_system_score_gemma":0.0013495487,"threshold_uncertainty_score":0.014406443},"labels":[],"label_agreement":null},{"id":"W2077929058","doi":"10.1007/s10922-006-9025-x","title":"Reducing Resource Usage Based on User Hints and Policies","year":2006,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Research Council Canada","keywords":"Computer science; Window (computing); Resource (disambiguation); Architecture; Resource consumption; User requirements document; Multimedia; Video on demand; User experience design; User interface; World Wide Web; Human–computer interaction; Computer network; Operating system; Software engineering","score_opus":0.012464181021066511,"score_gpt":0.22420762149031126,"score_spread":0.21174344046924476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077929058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7290904,0.001709287,0.24962063,0.0011215896,0.00026375195,0.00027242606,0.00024446315,0.012776611,0.0049007214],"genre_scores_gemma":[0.9732911,0.0001185681,0.025556128,0.00010544951,0.000036802776,0.000025350324,0.00008350889,0.00013325937,0.0006498425],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969754,0.0011550637,0.00025032638,0.00035204916,0.0009059051,0.0003612825],"domain_scores_gemma":[0.9804357,0.01104081,0.0010240418,0.003288363,0.002970055,0.0012409212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026973358,0.001406519,0.0016627032,0.0012995866,0.00082933705,0.0017446148,0.0017932942,0.0012251035,0.0013720219],"category_scores_gemma":[0.019592475,0.00061703566,0.0003807429,0.00096479384,0.00058241823,0.0032308656,0.0009240082,0.0018766669,0.0004984007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009606671,0.0035036276,0.06407114,0.00043868352,0.0003601368,0.0005085611,0.0007076371,0.18273161,0.10583491,0.006959813,0.008549555,0.61672765],"study_design_scores_gemma":[0.00008667042,0.00040783497,0.008603816,0.000028241646,0.00017603674,0.00018532465,0.00017686971,0.9561575,0.028393093,0.004631658,0.0010768198,0.00007599799],"about_ca_topic_score_codex":0.00399247,"about_ca_topic_score_gemma":0.0058397506,"teacher_disagreement_score":0.00399247,"about_ca_system_score_codex":0.00062796084,"about_ca_system_score_gemma":0.002010921,"threshold_uncertainty_score":0.01426506},"labels":[],"label_agreement":null},{"id":"W2077951103","doi":"10.1007/s10922-013-9276-2","title":"Distributed Schemes for Routing Table Management in Next Generation Routers","year":2013,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Routing table; Scalability; Router; Distributed computing; Routing domain; Policy-based routing; Routing protocol; Routing (electronic design automation); Forwarding plane; Static routing; Operating system; Network packet","score_opus":0.027476695194458067,"score_gpt":0.22673611242032948,"score_spread":0.19925941722587143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077951103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056014884,0.0007615866,0.93744284,0.0005693189,0.00035110212,0.00022448525,0.00013400688,0.0017104106,0.0027913444],"genre_scores_gemma":[0.72974,0.00027199884,0.2646561,0.000156984,0.00025736008,0.00022608798,0.0001948636,0.00011089342,0.004385738],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971769,0.0008633879,0.00027677647,0.00045475893,0.00086058385,0.00036759322],"domain_scores_gemma":[0.988951,0.0029523338,0.00070769363,0.004850185,0.0020306124,0.00050821604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065524625,0.0006190546,0.0014273735,0.0017038893,0.0023520265,0.0032538334,0.0049562305,0.0017204906,0.0039098957],"category_scores_gemma":[0.010218373,0.0006520504,0.00048565833,0.0018472465,0.001379046,0.0047808434,0.0034389535,0.0018561975,0.0007071135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026184667,0.00094313174,0.0035215497,0.00022394785,0.00021246413,0.0002625106,0.0008931095,0.38402843,0.02980729,0.15704788,0.012399152,0.4080421],"study_design_scores_gemma":[0.00028097612,0.00025442365,0.00045278645,0.000022048778,0.000072945266,0.0001159009,0.00012758038,0.9443107,0.007071211,0.042605527,0.004625869,0.000060018247],"about_ca_topic_score_codex":0.0026091074,"about_ca_topic_score_gemma":0.0056556836,"teacher_disagreement_score":0.0065524625,"about_ca_system_score_codex":0.0024412284,"about_ca_system_score_gemma":0.0021052314,"threshold_uncertainty_score":0.034653127},"labels":[],"label_agreement":null},{"id":"W2078614414","doi":"10.1007/s10922-014-9316-6","title":"A Game-Theoretic Approach for Dynamic and Adaptive Managers Selection in Service Specific Overlay Networks","year":2014,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Overlay; Overlay network; Quality of service; Distributed computing; Service provider; Service (business); Computer network; Game theory; Network management; World Wide Web; The Internet","score_opus":0.011040775092231682,"score_gpt":0.21329497819690546,"score_spread":0.2022542031046738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078614414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009003891,0.00017069394,0.98299706,0.0005836655,0.00006118065,0.0001341279,0.000058069927,0.00006689394,0.006924395],"genre_scores_gemma":[0.72522986,0.0006012624,0.2625966,0.00031919908,0.00021619131,0.0004319134,0.00009723915,0.000079411984,0.010428384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715805,0.0015502698,0.000092468435,0.0003191821,0.0005724724,0.0003075525],"domain_scores_gemma":[0.99523467,0.003685509,0.00024353767,0.00017212369,0.0003591583,0.00030499106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040572523,0.0011246679,0.0019828565,0.0013989,0.0012884093,0.0032491633,0.0042117224,0.0025852164,0.004467608],"category_scores_gemma":[0.010382002,0.0009689637,0.0012114367,0.0013784085,0.00326762,0.003911062,0.0029084024,0.002311103,0.00038818803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000503222,0.00008181056,0.00031174583,0.00008734439,0.000060047074,0.00014272111,0.00024767517,0.64484245,0.000990438,0.34196085,0.0016574509,0.009567178],"study_design_scores_gemma":[0.000012069321,0.000020416503,0.00004118084,0.0000074084205,0.000014116939,0.000027117747,0.0000393164,0.92806727,0.00008063417,0.070947625,0.0007308328,0.000012007772],"about_ca_topic_score_codex":0.006863479,"about_ca_topic_score_gemma":0.006974224,"teacher_disagreement_score":0.006863479,"about_ca_system_score_codex":0.0034699305,"about_ca_system_score_gemma":0.003032952,"threshold_uncertainty_score":0.025176227},"labels":[],"label_agreement":null},{"id":"W2089047980","doi":"10.1007/s10922-012-9250-4","title":"A MPLS/LDP Distributed Architecture for Next Generation Routers","year":2012,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Scalability; Computer network; Multiprotocol Label Switching; Exploit; Software-defined networking; Distributed computing; Embedded system; Quality of service; Operating system; Computer security","score_opus":0.02765303509373946,"score_gpt":0.2294048117911644,"score_spread":0.20175177669742494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089047980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13101593,0.0008466411,0.8345839,0.0012864011,0.00039105242,0.00025874487,0.00029586614,0.009954553,0.021366892],"genre_scores_gemma":[0.6713882,0.00028771532,0.30687118,0.00029648695,0.00014565478,0.00013974792,0.00033310245,0.00020604221,0.02033191],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997969,0.00004249975,0.000012930701,0.000038559272,0.00008088898,0.000028282735],"domain_scores_gemma":[0.9996182,0.00003288308,0.000013318646,0.00011684534,0.00018073522,0.000037952435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046885802,0.00026421517,0.00025828354,0.00042005593,0.00085129874,0.0010750598,0.0012905169,0.0006554383,0.00498149],"category_scores_gemma":[0.00045515253,0.0002554106,0.0002133112,0.0002799565,0.0003061123,0.001156544,0.00073500635,0.0007789243,0.0011259994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015413337,0.00078185677,0.0022137887,0.0002380569,0.000104356324,0.0005245687,0.00038144703,0.10336197,0.22771147,0.080974616,0.043649357,0.5385172],"study_design_scores_gemma":[0.0002210519,0.00056919554,0.00092415937,0.000033648204,0.000094172385,0.00032994105,0.00010312054,0.86073154,0.07126362,0.023254469,0.04241298,0.00006208952],"about_ca_topic_score_codex":0.0025183272,"about_ca_topic_score_gemma":0.0049029947,"teacher_disagreement_score":0.00498149,"about_ca_system_score_codex":0.00090559025,"about_ca_system_score_gemma":0.000783416,"threshold_uncertainty_score":0.016664743},"labels":[],"label_agreement":null},{"id":"W2113554969","doi":"10.1023/a:1009438422110","title":"An Agent Model for the Resolution of Feature Conflicts in Telephony","year":2000,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mitel (Canada); CARE Canada; University of Ottawa","funders":"","keywords":"Computer science","score_opus":0.0315809324451386,"score_gpt":0.26209202447588986,"score_spread":0.23051109203075126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113554969","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03437066,0.0005294502,0.93931466,0.0015708213,0.00021113704,0.0001370801,0.00014177815,0.00027370788,0.023450743],"genre_scores_gemma":[0.7995671,0.0006116526,0.18018335,0.00024625365,0.0001309116,0.0003415496,0.00015145993,0.000105548876,0.018662298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903023,0.000497149,0.000058975667,0.00010104959,0.00019647629,0.000116092386],"domain_scores_gemma":[0.9986558,0.0008441,0.000117848045,0.0000999946,0.0001535635,0.00012868982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014854338,0.00057770615,0.0010029309,0.0006184133,0.0013385345,0.0028703925,0.002610833,0.0032098012,0.0073218322],"category_scores_gemma":[0.0045284815,0.00064280315,0.0008908037,0.0008264391,0.0013014346,0.0038410584,0.0017078137,0.0017106541,0.0007357176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016745743,0.00010740348,0.00043944598,0.000077340126,0.000057547193,0.00046614188,0.0005189858,0.4996356,0.0011214734,0.48154998,0.0021868926,0.013671833],"study_design_scores_gemma":[0.00005429398,0.000024713172,0.000045503013,0.000008798116,0.000015090703,0.000046303714,0.000050255305,0.93210006,0.00011783746,0.06510381,0.0024219374,0.000011449524],"about_ca_topic_score_codex":0.0064285505,"about_ca_topic_score_gemma":0.0054916334,"teacher_disagreement_score":0.0073218322,"about_ca_system_score_codex":0.0012437939,"about_ca_system_score_gemma":0.0016988605,"threshold_uncertainty_score":0.024493992},"labels":[],"label_agreement":null},{"id":"W2123397491","doi":"10.1023/a:1009429702869","title":"Web-Based Customer Management of VPNs","year":2001,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada); University of Toronto; University of Waterloo","funders":"","keywords":"Private network; Computer science; Virtualization; Computer network; Architecture; Broadband networks; Service provider; Service (business); Broadband; Telecommunications; Cloud computing; Business; Operating system","score_opus":0.010259058131665055,"score_gpt":0.2117989434946175,"score_spread":0.20153988536295245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123397491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6094572,0.0013455823,0.23072842,0.002020678,0.0005640584,0.00063429744,0.0012526148,0.02688007,0.12711702],"genre_scores_gemma":[0.96810687,0.00020252337,0.021153348,0.00019580011,0.00011153216,0.000069038375,0.00075336464,0.00025210375,0.009155449],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899024,0.00038753415,0.000067016845,0.00008327077,0.0003512962,0.000120590405],"domain_scores_gemma":[0.9971667,0.0009714613,0.0002581475,0.00056648004,0.0007520052,0.00028516343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016429401,0.00025892805,0.00040376952,0.001333948,0.0005422816,0.002618016,0.0010705196,0.0010487919,0.0060832333],"category_scores_gemma":[0.0030421563,0.00024824453,0.0001786702,0.0010586643,0.00018752992,0.0019745766,0.0008526004,0.0005518568,0.002567775],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017718344,0.0022734907,0.022859003,0.00016689947,0.00015191268,0.0010401157,0.0008569405,0.031565886,0.02241676,0.012758467,0.04544037,0.85869825],"study_design_scores_gemma":[0.00018079088,0.0005046093,0.023225525,0.00011020603,0.00015702292,0.00068239006,0.0008966765,0.865042,0.033024784,0.01659592,0.05945401,0.00012605937],"about_ca_topic_score_codex":0.001640711,"about_ca_topic_score_gemma":0.0016390559,"teacher_disagreement_score":0.0060832333,"about_ca_system_score_codex":0.000417939,"about_ca_system_score_gemma":0.0003637565,"threshold_uncertainty_score":0.020350397},"labels":[],"label_agreement":null},{"id":"W2127699833","doi":"10.1023/a:1021116306389","title":"Optimizing Management Functions in Distributed Systems","year":2002,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Interface (matter); XML; Distributed computing; Distributed management; Set (abstract data type); Systems management; Management system; Operating system","score_opus":0.020615920390217774,"score_gpt":0.207819260057939,"score_spread":0.1872033396677212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127699833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1733601,0.00078144425,0.816303,0.00060449407,0.000058730522,0.00010236018,0.000038410002,0.0007738479,0.007977569],"genre_scores_gemma":[0.9298961,0.00026435504,0.06700848,0.00003942274,0.000036749116,0.000074510746,0.000039225702,0.00012809319,0.0025129097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834085,0.0008815145,0.00008201802,0.00014555779,0.00031911,0.00023096715],"domain_scores_gemma":[0.9957983,0.0028527335,0.00030858317,0.00037960504,0.00052697567,0.00013378299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003496281,0.0009432026,0.0011116401,0.0006990207,0.00076783256,0.001880207,0.0010342627,0.0009866843,0.0017977554],"category_scores_gemma":[0.010934363,0.00048504898,0.00026754555,0.0009086156,0.0010951057,0.0025224367,0.0009800134,0.00083352736,0.0002837608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027883908,0.00018259912,0.0016711337,0.000082319406,0.000033610155,0.00005987574,0.00016672678,0.81455094,0.0031304518,0.067047335,0.0017017171,0.111094445],"study_design_scores_gemma":[0.000021043967,0.00003618512,0.0002268223,0.000005600206,0.000013564219,0.00001249871,0.000027342892,0.97142965,0.0012672251,0.026450595,0.00050484453,0.000004587874],"about_ca_topic_score_codex":0.0019499386,"about_ca_topic_score_gemma":0.0016821,"teacher_disagreement_score":0.003496281,"about_ca_system_score_codex":0.0014903502,"about_ca_system_score_gemma":0.0012588672,"threshold_uncertainty_score":0.018490314},"labels":[],"label_agreement":null},{"id":"W2223991623","doi":"10.1007/s10922-015-9362-8","title":"OPTIMA: On-Line Partitioning Skew Mitigation for MapReduce with Resource Adjustment","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Skew; Computer science; Workload; Heuristics; Overhead (engineering); Distributed computing; Local optimum; Mathematical optimization; Parallel computing; Algorithm; Operating system","score_opus":0.01920090812794837,"score_gpt":0.2348118492464476,"score_spread":0.21561094111849924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223991623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07447348,0.0010799632,0.8402297,0.0005045576,0.0007491716,0.0004037897,0.00085383776,0.066149354,0.015556261],"genre_scores_gemma":[0.5597752,0.00024687883,0.4265065,0.00036717753,0.0001807936,0.00020170485,0.0012787627,0.002536668,0.008906351],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992262,0.0001253798,0.000035448327,0.00017753906,0.00026779264,0.00016762828],"domain_scores_gemma":[0.99915385,0.00016785928,0.000054545955,0.00034591873,0.00019105323,0.000086810374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076324755,0.0015200105,0.0011168678,0.00067887525,0.00096637255,0.00131459,0.0030975183,0.0006275402,0.006871515],"category_scores_gemma":[0.002198759,0.0006122587,0.0007025452,0.0006302864,0.00050711667,0.0015783979,0.0021396922,0.0012331958,0.0020530382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023901805,0.0007913299,0.0025661583,0.0003854553,0.0003226653,0.00026778606,0.0003330316,0.19648334,0.054419663,0.006803282,0.06745075,0.66778636],"study_design_scores_gemma":[0.00026626454,0.00029908706,0.00086998096,0.000017384351,0.000056657704,0.00014908693,0.00014946747,0.95635843,0.022264367,0.007660295,0.011852651,0.000056291035],"about_ca_topic_score_codex":0.005655442,"about_ca_topic_score_gemma":0.009782966,"teacher_disagreement_score":0.006871515,"about_ca_system_score_codex":0.0006380584,"about_ca_system_score_gemma":0.0018914794,"threshold_uncertainty_score":0.022987545},"labels":[],"label_agreement":null},{"id":"W2318834457","doi":"10.1007/s10922-016-9375-y","title":"Reliable Communication Networks for Smart Grid Transmission Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; International Cancer Imaging Society","keywords":"Computer science; Reliability (semiconductor); Heuristics; Distributed computing; Heuristic; Greedy algorithm; Smart grid; Telecommunications network; Network planning and design; Wireless mesh network; Computer network; Mathematical optimization; Power (physics); Algorithm; Wireless network; Wireless","score_opus":0.011525427902029301,"score_gpt":0.21438322089759002,"score_spread":0.20285779299556073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318834457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06050007,0.008608235,0.87851834,0.009667923,0.0014652628,0.0001529268,0.00035222693,0.0014131493,0.03932193],"genre_scores_gemma":[0.90938675,0.0042750654,0.06957975,0.0002952291,0.000854288,0.00011782743,0.00021860971,0.000121298785,0.015151176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964166,0.000095487754,0.000016771308,0.000052481144,0.00015754788,0.000035993442],"domain_scores_gemma":[0.998466,0.00051620044,0.00018365927,0.00032505632,0.0004678111,0.000041352334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008766339,0.00034414462,0.00036462516,0.0005167703,0.0006348983,0.0014104156,0.0007952588,0.00076529523,0.006693764],"category_scores_gemma":[0.003233952,0.0002580214,0.00015591514,0.0005632116,0.00058420986,0.0021055879,0.00059438107,0.00093608926,0.0006263365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033524324,0.00006646853,0.00095268775,0.00044085222,0.000050703395,0.00040479496,0.0002695855,0.16404912,0.011522286,0.51736784,0.041968122,0.26257235],"study_design_scores_gemma":[0.000058095233,0.00020526405,0.0008490443,0.00012397964,0.000048060727,0.00024252145,0.0001347146,0.6114251,0.004651614,0.30912158,0.07310379,0.000036317466],"about_ca_topic_score_codex":0.0014331697,"about_ca_topic_score_gemma":0.0029983816,"teacher_disagreement_score":0.006693764,"about_ca_system_score_codex":0.00083826337,"about_ca_system_score_gemma":0.00071524025,"threshold_uncertainty_score":0.02239281},"labels":[],"label_agreement":null},{"id":"W2318959599","doi":"10.1007/s10922-016-9377-9","title":"Dual-Failure Availability Analysis of Span-Restorable Mesh Networks","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Unavailability; Survivability; Computer science; Dual (grammatical number); Network topology; Distributed computing; High availability; Reliability engineering; Resource (disambiguation); Service (business); Path (computing); Computer network","score_opus":0.01380654773737177,"score_gpt":0.22136205063121425,"score_spread":0.20755550289384248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318959599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35385025,0.001383839,0.6323373,0.0008988674,0.0001417831,0.00004782312,0.0001995087,0.00025006555,0.010890635],"genre_scores_gemma":[0.99527824,0.00022616277,0.003200401,0.000027636132,0.00004637853,0.000011745099,0.000043385706,0.000015541576,0.0011505121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955255,0.00012264443,0.000014965778,0.000062968815,0.00013900404,0.0001077274],"domain_scores_gemma":[0.9978015,0.001245676,0.00027644608,0.00010071532,0.0004642907,0.00011145852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012315407,0.0005842803,0.0006818102,0.0011247017,0.00042579081,0.00074683345,0.0012394246,0.000620797,0.0026777876],"category_scores_gemma":[0.0042087156,0.00031452972,0.00050842564,0.0005207158,0.00082121254,0.0014651276,0.0008736253,0.00076125545,0.00016388045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032685953,0.00007182151,0.001787391,0.00013010678,0.00006121569,0.00028802096,0.000104782695,0.92887247,0.0056978166,0.05020218,0.0013516217,0.011105797],"study_design_scores_gemma":[0.000002198838,0.0000151300355,0.0001832496,0.0000027410217,0.0000067693263,0.000030002475,0.000016056749,0.9948726,0.00015713803,0.004642135,0.00006925684,0.0000026746293],"about_ca_topic_score_codex":0.0023356646,"about_ca_topic_score_gemma":0.0013505606,"teacher_disagreement_score":0.0026777876,"about_ca_system_score_codex":0.0009973486,"about_ca_system_score_gemma":0.0004928504,"threshold_uncertainty_score":0.008958101},"labels":[],"label_agreement":null},{"id":"W2324293280","doi":"10.1007/s10922-016-9371-2","title":"Traffic Prediction for Reliable and Resilient Video Communications Over Multi-Location WMNs","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Communications Research Centre Canada","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Telecommunications; Real-time computing","score_opus":0.03139244360404284,"score_gpt":0.27640866885157256,"score_spread":0.24501622524752972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324293280","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21663664,0.0004815977,0.7800657,0.00041881937,0.00014527806,0.000046915095,0.00016558444,0.00058804237,0.0014514034],"genre_scores_gemma":[0.98410296,0.00008663978,0.015181928,0.000024464223,0.000033515764,0.00001941572,0.000075880904,0.000014354643,0.00046084594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996841,0.00007077087,0.000020700947,0.00007576483,0.00007649683,0.00007212108],"domain_scores_gemma":[0.9980514,0.0012365835,0.00017236656,0.00010586565,0.00036772373,0.00006595401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011126306,0.0004774013,0.0006047255,0.0006223207,0.0005131598,0.0005766818,0.0010483724,0.0005036598,0.0007434634],"category_scores_gemma":[0.004846734,0.00033792757,0.00021089894,0.00050413044,0.0003316528,0.0009786587,0.00057601824,0.0006446888,0.00012640681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023289569,0.00005590376,0.0018363013,0.00003250557,0.000021181393,0.00006943098,0.00004023714,0.939215,0.004357513,0.0028807505,0.0007705818,0.050487712],"study_design_scores_gemma":[0.0000010339055,0.000005556852,0.00008022478,9.959562e-7,0.0000017177032,0.0000031454324,0.000002989221,0.999213,0.00024670074,0.00042202644,0.000021475294,0.0000011551255],"about_ca_topic_score_codex":0.008925031,"about_ca_topic_score_gemma":0.009071037,"teacher_disagreement_score":0.008925031,"about_ca_system_score_codex":0.00092860067,"about_ca_system_score_gemma":0.0007344353,"threshold_uncertainty_score":0.01774615},"labels":[],"label_agreement":null},{"id":"W2337628738","doi":"10.1007/s10922-016-9382-z","title":"A Novel Long Term Telecommunication Network Planning Framework","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Term (time); Telecommunications; Computer network; Telecommunications service","score_opus":0.12128106370445413,"score_gpt":0.3630768333992616,"score_spread":0.24179576969480748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337628738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010676604,0.0004456997,0.97204924,0.0017169036,0.00009741445,0.00004632027,0.00059848244,0.00018175063,0.014187581],"genre_scores_gemma":[0.6387504,0.0015871399,0.3299298,0.0004447344,0.00046084414,0.00034607126,0.0010280323,0.00017714775,0.027275862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991372,0.00035888806,0.00003334749,0.00020152656,0.0001633971,0.000105577215],"domain_scores_gemma":[0.99819857,0.0011350993,0.0001767749,0.00010208317,0.00023684555,0.00015069716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021152322,0.00071792374,0.0009993884,0.0010609663,0.0007844686,0.0032953327,0.003336926,0.0021808832,0.01107122],"category_scores_gemma":[0.0045682234,0.00077079434,0.0009387299,0.0020552853,0.00083744695,0.0036817188,0.002048708,0.0017153249,0.00063356425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001925416,0.000038065216,0.00036233154,0.00003700885,0.00005187341,0.00010031585,0.000042829066,0.7937046,0.0001328651,0.19125305,0.0022617686,0.011995895],"study_design_scores_gemma":[0.000005426637,0.0000088274655,0.00004981926,0.000006447512,0.000010175916,0.000016687536,0.000012807034,0.93964463,0.000027582217,0.05886575,0.0013458129,0.000006069731],"about_ca_topic_score_codex":0.017549608,"about_ca_topic_score_gemma":0.019957663,"teacher_disagreement_score":0.017549608,"about_ca_system_score_codex":0.0025548465,"about_ca_system_score_gemma":0.0030549136,"threshold_uncertainty_score":0.037036955},"labels":[],"label_agreement":null},{"id":"W2553063418","doi":"10.1007/s10922-016-9396-6","title":"Survivable Network Capacity Allocation and Topology Design Using Multi-period Network Augmentation","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Backup; Network topology; Network planning and design; Mesh networking; Computer network; Distributed computing; Topology (electrical circuits); Path (computing); Process (computing); Telecommunications; Mathematics","score_opus":0.043110603353634244,"score_gpt":0.246685269372503,"score_spread":0.20357466601886876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553063418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044522453,0.00016996996,0.9504168,0.00013089496,0.00004383236,0.00006951401,0.00004368438,0.0001661126,0.0044366536],"genre_scores_gemma":[0.89892393,0.00017945236,0.098828286,0.00003873811,0.000027778553,0.00011488882,0.000032069052,0.00003937277,0.0018155461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973303,0.00011560862,0.000010397474,0.000044257737,0.000053230273,0.000043426306],"domain_scores_gemma":[0.9993888,0.00031104524,0.00010520222,0.000048726706,0.00010663861,0.000039562237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006236121,0.000524982,0.0005958453,0.00057497196,0.00039240278,0.00073301804,0.0011770373,0.0005703225,0.0021846823],"category_scores_gemma":[0.0017528414,0.00041879332,0.00045394147,0.0005505895,0.0003449612,0.0010008438,0.00065688253,0.0004885105,0.00013841738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062372346,0.000030026722,0.00018959671,0.000040640643,0.000018226843,0.000052545427,0.000028998506,0.9680091,0.0047301417,0.0069420324,0.00037198048,0.019524295],"study_design_scores_gemma":[0.0000029325956,0.00001976732,0.000031898955,0.0000017344789,0.0000044159374,0.000012045585,0.00000411816,0.99816257,0.00034418376,0.0012974442,0.00011668977,0.0000022054173],"about_ca_topic_score_codex":0.0012106028,"about_ca_topic_score_gemma":0.0017897903,"teacher_disagreement_score":0.0021846823,"about_ca_system_score_codex":0.00068215077,"about_ca_system_score_gemma":0.00062444917,"threshold_uncertainty_score":0.0073085427},"labels":[],"label_agreement":null},{"id":"W2593350267","doi":"10.1007/s10922-017-9408-1","title":"COVE: Co-operative Virtual Network Embedding for Network Virtualization","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Municipal Natural Science Foundation; University of Waterloo; National Natural Science Foundation of China","keywords":"Network virtualization; Computer science; Distributed computing; Virtual network; Computer network; Virtualization; Network topology; Network management station; Network management; Overhead (engineering); Network architecture; Cloud computing","score_opus":0.02550570979458684,"score_gpt":0.30870220381567676,"score_spread":0.28319649402108993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593350267","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069512226,0.0013378458,0.8147935,0.00093043945,0.001433646,0.0005527395,0.00077576557,0.07252168,0.038142104],"genre_scores_gemma":[0.7111751,0.00064163184,0.25471297,0.0005937914,0.00019101433,0.00028117566,0.0025946642,0.0032534415,0.026556242],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914634,0.00016264395,0.000035160803,0.00011519651,0.00033209848,0.00020859373],"domain_scores_gemma":[0.99896276,0.00016379649,0.000054380234,0.0004351199,0.0001791879,0.00020465777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097388,0.0008911573,0.0004909114,0.0007237228,0.0007977365,0.0018966844,0.0014763001,0.000899368,0.007553344],"category_scores_gemma":[0.0026956238,0.00039127617,0.00042790486,0.0004642035,0.00074883644,0.003613267,0.00524669,0.001918696,0.0016586115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018328114,0.0012555771,0.0041949474,0.00047866214,0.00025086707,0.0008503619,0.00062686513,0.06543179,0.055009063,0.123950146,0.16228227,0.5838367],"study_design_scores_gemma":[0.00027534008,0.0005706164,0.00178677,0.00011686351,0.00008097354,0.0009783858,0.00028887912,0.7483832,0.05380942,0.054089475,0.13946484,0.00015526124],"about_ca_topic_score_codex":0.0010567835,"about_ca_topic_score_gemma":0.0018707073,"teacher_disagreement_score":0.007553344,"about_ca_system_score_codex":0.00042092218,"about_ca_system_score_gemma":0.0011000569,"threshold_uncertainty_score":0.025268435},"labels":[],"label_agreement":null},{"id":"W2758823692","doi":"10.1007/s10922-017-9432-1","title":"Early Detection of DDoS Attacks Against Software Defined Network Controllers","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Denial-of-service attack; Computer science; Software-defined networking; Application layer DDoS attack; Controller (irrigation); Network management; Computer network; Single point of failure; Network packet; The Internet; Operating system","score_opus":0.014811975750715729,"score_gpt":0.22665797671729612,"score_spread":0.2118460009665804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758823692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936387,0.00081289205,0.05733858,0.0004020996,0.00021549418,0.00012152116,0.00017353796,0.0011447042,0.0034041924],"genre_scores_gemma":[0.99467164,0.000064614665,0.004560166,0.000027554386,0.000018741763,0.0000071705795,0.000092742746,0.000004513793,0.00055281847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987943,0.00016671965,0.00006278996,0.00015250458,0.0006512794,0.00017236707],"domain_scores_gemma":[0.99535877,0.001993685,0.0007773482,0.00041251862,0.0010533007,0.00040440075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008039744,0.0005141395,0.000684069,0.0017129243,0.00036060516,0.0008618979,0.0004534932,0.0008302001,0.0008309278],"category_scores_gemma":[0.0045124865,0.00021905845,0.0001904745,0.00028210453,0.00023955276,0.000858417,0.0006461377,0.0010235099,0.00028721284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065212743,0.0022562416,0.234076,0.00036418735,0.00025875756,0.0014598145,0.0003310968,0.0350857,0.3445419,0.0059114797,0.006815245,0.36237842],"study_design_scores_gemma":[0.00015924723,0.0022885927,0.078013256,0.000061131424,0.0001443895,0.0022688434,0.0002347572,0.7296581,0.17956918,0.003328446,0.0042148335,0.000059177928],"about_ca_topic_score_codex":0.0004897427,"about_ca_topic_score_gemma":0.00083243556,"teacher_disagreement_score":0.0017129243,"about_ca_system_score_codex":0.00038399675,"about_ca_system_score_gemma":0.00063503534,"threshold_uncertainty_score":0.0042518973},"labels":[],"label_agreement":null},{"id":"W2941475555","doi":"10.1007/s10922-019-09497-w","title":"Latency Control of ICN Enabled 5G Networks","year":2019,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Ericsson (Canada)","funders":"","keywords":"Computer science; Backhaul (telecommunications); Computer network; Latency (audio); Network congestion; Cache; Wireless; Wireless network; Distributed computing; Base station; Telecommunications","score_opus":0.006926113298285255,"score_gpt":0.18450193165091877,"score_spread":0.17757581835263353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941475555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5663855,0.008166153,0.38139004,0.0013198081,0.0009428367,0.00015730137,0.0003875718,0.0018372207,0.039413556],"genre_scores_gemma":[0.9964276,0.00018626619,0.0023982853,0.00003795402,0.000030047935,0.000008016477,0.000020601463,0.000014221361,0.0008769573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992418,0.00009387802,0.00003055675,0.000119166165,0.0002499919,0.0002644672],"domain_scores_gemma":[0.99843377,0.0005814452,0.00015647191,0.000089569105,0.00065182155,0.000086980675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008474902,0.00064112915,0.0004633644,0.0005376429,0.00083597243,0.0015057328,0.0007529211,0.000325113,0.00194992],"category_scores_gemma":[0.0024810738,0.00016651872,0.00012154757,0.0005762439,0.00039154297,0.0007512215,0.0006049826,0.00051804096,0.0001721656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019079561,0.0003303244,0.0044929665,0.00044633172,0.00008538308,0.00045793568,0.00063987926,0.6026158,0.14532012,0.056163654,0.0075507564,0.17998894],"study_design_scores_gemma":[0.000016743996,0.00017724313,0.00077731593,0.00002141077,0.000035921494,0.000058521204,0.000100021265,0.98422897,0.008858579,0.0038221518,0.0018842621,0.000018854906],"about_ca_topic_score_codex":0.008539186,"about_ca_topic_score_gemma":0.015920378,"teacher_disagreement_score":0.008539186,"about_ca_system_score_codex":0.0021860048,"about_ca_system_score_gemma":0.0013441651,"threshold_uncertainty_score":0.01697898},"labels":[],"label_agreement":null},{"id":"W3004114389","doi":"10.1007/s10922-020-09512-5","title":"A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Software deployment; Network management; Network monitoring; Network management station; Network management application; Management system; Element management system; Distributed computing; Artificial intelligence; Computer security; Software engineering; Computer network; Network architecture","score_opus":0.011590085915195803,"score_gpt":0.19967685140377894,"score_spread":0.18808676548858314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004114389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011553482,0.031824306,0.9126476,0.030622596,0.0010982676,0.000058155478,0.00022706014,0.0010770443,0.010891494],"genre_scores_gemma":[0.5556645,0.025256788,0.39410508,0.0035733317,0.0043129046,0.00020255348,0.00035989113,0.00044645375,0.01607843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984769,0.0005839934,0.00009668887,0.00026724878,0.0004665059,0.000108740816],"domain_scores_gemma":[0.9924581,0.00532885,0.00029642772,0.00091624726,0.0007098201,0.000290482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00400104,0.00083470327,0.0010725136,0.00090149743,0.000765602,0.004215552,0.0014095709,0.002565451,0.0035358209],"category_scores_gemma":[0.010301853,0.00052605645,0.0005414186,0.0009450773,0.004326284,0.0112548135,0.0033444725,0.0055294405,0.0011042283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026746013,0.000110307104,0.0010117935,0.0004420202,0.0000807895,0.00014549613,0.0002479432,0.04385265,0.0022080115,0.67127645,0.027380185,0.252977],"study_design_scores_gemma":[0.000013008656,0.000069092246,0.00027484636,0.00012916714,0.000017831311,0.00006187585,0.00008017371,0.20363796,0.0011450234,0.7776427,0.016903006,0.000025300928],"about_ca_topic_score_codex":0.0014535049,"about_ca_topic_score_gemma":0.0009035806,"teacher_disagreement_score":0.004215552,"about_ca_system_score_codex":0.0012486528,"about_ca_system_score_gemma":0.0014963262,"threshold_uncertainty_score":0.021159768},"labels":[],"label_agreement":null},{"id":"W3010447702","doi":"10.1007/s10922-020-09517-0","title":"Network Management 2030: Operations and Control of Network 2030 Services","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; École de Technologie Supérieure","funders":"","keywords":"Computer science; DevOps; Network management; The Internet; Service (business); Network service; Engineering management; Telecommunications; Process management; Computer security; Computer network; World Wide Web; Software engineering; Business","score_opus":0.013545866451167022,"score_gpt":0.2089659960804912,"score_spread":0.1954201296293242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010447702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19395223,0.0039875456,0.50153077,0.0099026505,0.0014945627,0.0006390931,0.00520207,0.010822494,0.27246863],"genre_scores_gemma":[0.92722803,0.0011807,0.056074,0.0008140532,0.00021601809,0.00018880214,0.0028366244,0.00036546186,0.011096301],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986525,0.00040174383,0.000059801798,0.00012883036,0.0005166136,0.00024045506],"domain_scores_gemma":[0.99859256,0.00023146116,0.00018903275,0.00017395243,0.0005761615,0.00023685183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003167162,0.0007140066,0.00041403933,0.0009258792,0.0007188356,0.0038166742,0.0010652904,0.0008442364,0.0047061048],"category_scores_gemma":[0.0039750044,0.00022990356,0.00035988278,0.001204412,0.00060243363,0.0025408452,0.0014714138,0.0007752602,0.0013209569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090827927,0.00029405596,0.00891183,0.00022899311,0.00016432571,0.0003803836,0.0003121328,0.20811687,0.014716818,0.29597536,0.12449829,0.34549263],"study_design_scores_gemma":[0.00005671145,0.00024796967,0.0068898806,0.00013700339,0.000068226014,0.0002170175,0.00030719617,0.73793423,0.009863826,0.09117506,0.15301819,0.00008466929],"about_ca_topic_score_codex":0.012692317,"about_ca_topic_score_gemma":0.007581818,"teacher_disagreement_score":0.012692317,"about_ca_system_score_codex":0.0026993104,"about_ca_system_score_gemma":0.0044306032,"threshold_uncertainty_score":0.025236905},"labels":[],"label_agreement":null},{"id":"W3031889203","doi":"10.1007/s10922-020-09542-z","title":"Software-Defined Networking (SDN) and Network Function Virtualization (NFV) for a Hyperconnected World: Challenges, Applications, and Major Advancements","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Network Functions Virtualization; Computer science; Software-defined networking; Virtualization; Function (biology); Software; Computer network; Network virtualization; Operating system; Cloud computing","score_opus":0.02720709279633249,"score_gpt":0.23336552975911598,"score_spread":0.2061584369627835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031889203","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03395807,0.7255093,0.070218846,0.108182825,0.0068185087,0.00008058642,0.00015738275,0.00027037706,0.0548042],"genre_scores_gemma":[0.39691275,0.52952874,0.044116452,0.0063268486,0.008774767,0.000091899405,0.00023902838,0.000091578324,0.013917946],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871397,0.00026038164,0.00005883427,0.00018045194,0.00059873244,0.00018761384],"domain_scores_gemma":[0.9966191,0.001506986,0.0002614467,0.00018516358,0.0009200054,0.0005072057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003204472,0.0006534729,0.000579662,0.0010339086,0.00069564505,0.004214717,0.0013924337,0.0021256267,0.0038360914],"category_scores_gemma":[0.0035149823,0.00025416462,0.00034150513,0.0020388858,0.0018862727,0.010725465,0.0023845048,0.0035441602,0.0006001733],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011288324,0.00015443898,0.0024258716,0.0009750406,0.000026165628,0.0000812273,0.0002734262,0.003852324,0.0027341007,0.26936102,0.01977486,0.70022863],"study_design_scores_gemma":[0.00003375853,0.00053392054,0.0042093643,0.0025695856,0.00007403388,0.0009084573,0.0029014396,0.08023504,0.0041222535,0.362806,0.5414716,0.00013456939],"about_ca_topic_score_codex":0.0013210254,"about_ca_topic_score_gemma":0.0018691052,"teacher_disagreement_score":0.004214717,"about_ca_system_score_codex":0.0011906878,"about_ca_system_score_gemma":0.0025298968,"threshold_uncertainty_score":0.016947031},"labels":[],"label_agreement":null},{"id":"W3045974926","doi":"10.1007/s10922-020-09555-8","title":"Monte Carlo Tree Search with Last-Good-Reply Policy for Cognitive Optimization of Cloud-Ready Optical Networks","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"Narodowe Centrum Nauki","keywords":"Computer science; Monte Carlo tree search; Cloud computing; Data center; Network topology; Tree (set theory); Novelty; Blocking (statistics); Resource allocation; Focus (optics); Key (lock); Distributed computing; Monte Carlo method; Computer network","score_opus":0.021344278383260237,"score_gpt":0.2448842577366756,"score_spread":0.22353997935341535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045974926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12362298,0.002139324,0.85589254,0.0024880006,0.00039519486,0.00023144096,0.0002295396,0.0007366853,0.014264273],"genre_scores_gemma":[0.93096733,0.00031611449,0.0638766,0.00051331293,0.00013631278,0.00018173504,0.00014428151,0.00009188197,0.0037724583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998654,0.0005875357,0.00003977958,0.00014841053,0.000174512,0.00039573121],"domain_scores_gemma":[0.99074054,0.0078682415,0.000309412,0.00016769613,0.0005547647,0.00035930297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030153107,0.0011318615,0.0030795375,0.0015473902,0.0013441874,0.0017115135,0.0023945393,0.0028788613,0.005288132],"category_scores_gemma":[0.010056655,0.00094299234,0.00097619777,0.0016381618,0.0018194633,0.0020696023,0.0018061788,0.0019883665,0.00035914622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016459722,0.00006613129,0.00026962053,0.00003460126,0.00003426304,0.000030529245,0.000029751529,0.98588735,0.00011775333,0.006503825,0.0012093111,0.0056522917],"study_design_scores_gemma":[0.000013181629,0.00001051308,0.000022724218,0.0000024378423,0.000004654255,0.000002820849,0.0000050719095,0.99806815,0.000019039542,0.0018110643,0.00003807787,0.0000021717944],"about_ca_topic_score_codex":0.01633055,"about_ca_topic_score_gemma":0.016211828,"teacher_disagreement_score":0.01633055,"about_ca_system_score_codex":0.002124749,"about_ca_system_score_gemma":0.004759313,"threshold_uncertainty_score":0.032471},"labels":[],"label_agreement":null},{"id":"W3094481548","doi":"10.1007/s10922-020-09574-5","title":"A Data-driven, Multi-setpoint Model Predictive Thermal Control System for Data Centers","year":2020,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Setpoint; Computer science; Data center; Workload; Model predictive control; Modular design; Controller (irrigation); Temperature control; Data-driven; Power (physics); Control theory (sociology); Real-time computing; Control (management); Control engineering; Engineering","score_opus":0.0675189135914508,"score_gpt":0.26107535874119475,"score_spread":0.19355644514974396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094481548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.120648295,0.00046038767,0.84453785,0.000517534,0.00039948893,0.00038436797,0.0004826363,0.024351507,0.008218005],"genre_scores_gemma":[0.9607424,0.00006476018,0.036076333,0.00013292741,0.000033513712,0.00017086377,0.00017962829,0.00014919556,0.0024502443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995492,0.000054820204,0.000024190147,0.00017214469,0.00015542102,0.000044283373],"domain_scores_gemma":[0.9995679,0.00008998439,0.000051702922,0.00006651613,0.00017221589,0.00005161345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053457846,0.0009894822,0.0012431127,0.00053417456,0.0009108992,0.00100679,0.0019819047,0.0005550914,0.004213873],"category_scores_gemma":[0.00091280503,0.00045102593,0.00038554464,0.00041414634,0.00037650217,0.00073205365,0.00086215377,0.0009159986,0.00091565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015137639,0.001131304,0.004107039,0.00039307078,0.00023047421,0.00032110827,0.00043347487,0.6022926,0.08637378,0.00232432,0.015620882,0.2852581],"study_design_scores_gemma":[0.00006340337,0.00011278226,0.000611231,0.0000063183265,0.000025717125,0.00002303376,0.000015046457,0.99066097,0.0065804827,0.0005766145,0.0013013815,0.000022929742],"about_ca_topic_score_codex":0.0076473323,"about_ca_topic_score_gemma":0.009796672,"teacher_disagreement_score":0.0076473323,"about_ca_system_score_codex":0.00081648753,"about_ca_system_score_gemma":0.0011815852,"threshold_uncertainty_score":0.015205622},"labels":[],"label_agreement":null},{"id":"W3135091917","doi":"10.1007/s10922-021-09589-6","title":"AS-IDS: Anomaly and Signature Based IDS for the Internet of Things","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":181,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Network packet; Intrusion detection system; Data mining; Cluster analysis; Computer network; Preprocessor; Anomaly detection; Signature (topology); Artificial intelligence","score_opus":0.01052702281262555,"score_gpt":0.21934391910494458,"score_spread":0.20881689629231903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135091917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035952035,0.0010506249,0.87929684,0.00092361314,0.0023942017,0.00034015518,0.002043843,0.06692211,0.011076452],"genre_scores_gemma":[0.51559913,0.00082723127,0.44768494,0.00084234675,0.00051707897,0.00030673045,0.005218084,0.0010393953,0.027965026],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991621,0.00012312144,0.000064747415,0.00012840888,0.0004338903,0.00008764939],"domain_scores_gemma":[0.99910945,0.0001352669,0.00008435195,0.0002390192,0.00033128244,0.00010066688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083442254,0.0006410222,0.00086874847,0.001059904,0.00056055206,0.001193327,0.0012425457,0.00074863626,0.0034991081],"category_scores_gemma":[0.0014295636,0.00023307251,0.00030899871,0.0006881928,0.0004611159,0.0016484297,0.0010742192,0.000985719,0.0016456015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002407019,0.00055102387,0.0071350643,0.0006238877,0.00024151853,0.0006010436,0.00023087545,0.03245743,0.06998775,0.058705132,0.18398897,0.6430703],"study_design_scores_gemma":[0.0002172653,0.0009086626,0.002637213,0.00006229969,0.00013362445,0.0015199642,0.00012542742,0.7387993,0.08844739,0.035567712,0.13145679,0.00012433603],"about_ca_topic_score_codex":0.0008092221,"about_ca_topic_score_gemma":0.0010336078,"teacher_disagreement_score":0.0034991081,"about_ca_system_score_codex":0.0005741948,"about_ca_system_score_gemma":0.00092148856,"threshold_uncertainty_score":0.011705697},"labels":[],"label_agreement":null},{"id":"W3159537171","doi":"10.1007/s10922-021-09603-x","title":"Deep Reinforcement Learning Based Active Queue Management for IoT Networks","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Active queue management; Computer science; Reinforcement learning; Computer network; Quality of service; Queueing theory; Queue; Throughput; Queue management system; Enhanced Data Rates for GSM Evolution; Edge device; Network packet; Jitter; Network congestion; Wireless; Artificial intelligence; Telecommunications","score_opus":0.013786721359249516,"score_gpt":0.2281408983558029,"score_spread":0.21435417699655337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159537171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07856809,0.0009396622,0.9159474,0.00071563566,0.00026282013,0.00005035824,0.00014303817,0.0007131299,0.002659922],"genre_scores_gemma":[0.9757759,0.00014767633,0.021034217,0.00016052494,0.00006259918,0.000037435762,0.00008923285,0.000032564298,0.0026599464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995963,0.00007324222,0.000019423307,0.00010623864,0.00007671555,0.0001280614],"domain_scores_gemma":[0.9986266,0.0007658366,0.00013149511,0.0000605779,0.00030189138,0.000113590926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012348179,0.0005593376,0.0010756335,0.00036384424,0.000426153,0.0009161923,0.0017579116,0.0008438239,0.0021910197],"category_scores_gemma":[0.0026916526,0.00034898584,0.00036006776,0.0004106561,0.0005336326,0.0010777033,0.0009534127,0.0016295267,0.00024304021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015785915,0.00016198827,0.0014249457,0.000046668192,0.000044392702,0.000038507085,0.000036010286,0.9390573,0.0013619787,0.00579823,0.0020723073,0.04979976],"study_design_scores_gemma":[0.000002440613,0.0000075077223,0.000039638544,0.0000010625198,0.000002395405,0.0000012555845,0.0000015535154,0.99894804,0.000062144914,0.0008970909,0.00003581799,0.0000010546765],"about_ca_topic_score_codex":0.010735851,"about_ca_topic_score_gemma":0.01235136,"teacher_disagreement_score":0.010735851,"about_ca_system_score_codex":0.0012948643,"about_ca_system_score_gemma":0.0015147597,"threshold_uncertainty_score":0.021346688},"labels":[],"label_agreement":null},{"id":"W3168454669","doi":"10.1007/s10922-021-09608-6","title":"A Novel Lightweight Defense Method Against Adversarial Patches-Based Attacks on Automated Vehicle Make and Model Recognition Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Adversarial system; Robustness (evolution); Overhead (engineering); Artificial intelligence; Computer security; Cyber-physical system; Convolutional neural network; Focus (optics); Deep learning; Situation awareness; Machine learning","score_opus":0.029133663416774862,"score_gpt":0.27578963752991376,"score_spread":0.2466559741131389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168454669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03662241,0.00023421897,0.9585343,0.00022011987,0.00012660919,0.00006659624,0.000036779024,0.0017721116,0.0023867995],"genre_scores_gemma":[0.8650755,0.00014992045,0.12815937,0.00022053509,0.000118826545,0.00007416308,0.00014296985,0.00012400498,0.005934603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909854,0.00014246699,0.000033187443,0.00015562751,0.0004163988,0.0001538188],"domain_scores_gemma":[0.99900913,0.0003119878,0.00010669462,0.00035311095,0.00016083496,0.000058165628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059955183,0.00067725976,0.00085557986,0.0005335448,0.00046244508,0.0006311057,0.0009607542,0.0010704176,0.002005994],"category_scores_gemma":[0.0020671643,0.00028949103,0.0006061271,0.00030699317,0.00056528347,0.001205403,0.0019499804,0.0013518031,0.0007637831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073200517,0.00024470908,0.0019888459,0.0001394244,0.00020030334,0.00040596625,0.00012832537,0.33941764,0.11282946,0.03859369,0.008880163,0.4964395],"study_design_scores_gemma":[0.0000113785345,0.000081113125,0.00027724195,0.0000039299694,0.000013540104,0.00012078538,0.00000975753,0.9848764,0.008925819,0.004367547,0.001303005,0.000009428811],"about_ca_topic_score_codex":0.000695837,"about_ca_topic_score_gemma":0.0007901061,"teacher_disagreement_score":0.002005994,"about_ca_system_score_codex":0.00039507454,"about_ca_system_score_gemma":0.00064417016,"threshold_uncertainty_score":0.006710708},"labels":[],"label_agreement":null},{"id":"W3173052482","doi":"10.1007/s10922-021-09609-5","title":"A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Høgskulen på Vestlandet","keywords":"Computer science; Cluster analysis; Database transaction; Pruning; Heuristic; Embedding; Transaction data; Data mining; Set (abstract data type); Representation (politics); Transactional leadership; Function (biology); Cyber-physical system; Machine learning; Artificial intelligence; Database","score_opus":0.03308979221899401,"score_gpt":0.2594467347006575,"score_spread":0.2263569424816635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173052482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05533751,0.0002766166,0.94310135,0.00030276645,0.00002562699,0.000045228226,0.000088613895,0.00038338767,0.0004389382],"genre_scores_gemma":[0.87053967,0.00015136115,0.12821451,0.00009022814,0.000037410777,0.00007135231,0.00014513123,0.000018782423,0.00073160284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977749,0.00089908467,0.00019779635,0.00051749457,0.00041924836,0.00019148059],"domain_scores_gemma":[0.9947864,0.00272147,0.0005045198,0.00078870286,0.0010246462,0.00017429328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034825057,0.00056994753,0.0014388867,0.002043877,0.00069452485,0.0013573302,0.002119607,0.0012545813,0.0010289439],"category_scores_gemma":[0.007226439,0.00041927103,0.00093968015,0.0017694479,0.0008835164,0.0027596662,0.0014075555,0.0013237913,0.00018057246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002301091,0.00035596127,0.0048895297,0.00008219884,0.00014609031,0.0001751974,0.00012694072,0.8254239,0.0012026137,0.011410772,0.0007494705,0.1552073],"study_design_scores_gemma":[0.0000027917242,0.000017851748,0.0001550254,0.0000028993256,0.0000048608917,0.000015783224,0.000007767268,0.9943926,0.00023115265,0.0050953985,0.00007145489,0.0000024838823],"about_ca_topic_score_codex":0.0032188962,"about_ca_topic_score_gemma":0.0026034156,"teacher_disagreement_score":0.0034825057,"about_ca_system_score_codex":0.0012275944,"about_ca_system_score_gemma":0.0009539529,"threshold_uncertainty_score":0.018417478},"labels":[],"label_agreement":null},{"id":"W3210231570","doi":"10.1007/s10922-021-09634-4","title":"Effective and Efficient Hybrid Android Malware Classification Using Pseudo-Label Stacked Auto-Encoder","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":201,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of New Brunswick","funders":"","keywords":"Computer science; Malware; Android (operating system); Machine learning; Android malware; Artificial intelligence; Encoder; Static analysis; Mobile device; Computer security; Operating system","score_opus":0.021565207092407845,"score_gpt":0.2674306129995809,"score_spread":0.24586540590717304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210231570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20518328,0.0032015878,0.7659467,0.00063871534,0.0007578757,0.00016746444,0.0012154916,0.01655442,0.006334515],"genre_scores_gemma":[0.709175,0.0008066998,0.26880747,0.00049504533,0.00023052945,0.00013187436,0.0033004694,0.0003764688,0.01667649],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993206,0.00008254137,0.00003490082,0.00015511143,0.00028089783,0.00012589106],"domain_scores_gemma":[0.9992342,0.00021447518,0.00005286101,0.00011511318,0.00033651543,0.00004679833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045537294,0.0012888623,0.0010634941,0.0011219003,0.0005781245,0.00085879833,0.0009390335,0.0007682673,0.0016374064],"category_scores_gemma":[0.0012653918,0.0003095073,0.00066251523,0.0005189431,0.000271129,0.0014408984,0.0011790813,0.00091956375,0.0017231659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005598589,0.0003109183,0.0038134668,0.000121556914,0.00008874527,0.00029820227,0.00007815217,0.019608244,0.066382416,0.0020215134,0.010535295,0.8961816],"study_design_scores_gemma":[0.00001728884,0.00012172755,0.002043682,0.000017793252,0.000066489316,0.00032603796,0.00004597532,0.9590987,0.034107044,0.0016857049,0.0024401853,0.000029454697],"about_ca_topic_score_codex":0.0051508923,"about_ca_topic_score_gemma":0.010906179,"teacher_disagreement_score":0.0051508923,"about_ca_system_score_codex":0.00040164584,"about_ca_system_score_gemma":0.0011713292,"threshold_uncertainty_score":0.0102418065},"labels":[],"label_agreement":null},{"id":"W3210833786","doi":"10.1007/s10922-021-09638-0","title":"Collaborative Multi-domain Routing in SDN Environments","year":2021,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Distributed computing; Routing (electronic design automation); Greedy algorithm; Domain (mathematical analysis); Routing domain; The Internet; Network performance; Bandwidth (computing); Static routing; Routing protocol; Algorithm","score_opus":0.012254991332096152,"score_gpt":0.2263639592050698,"score_spread":0.21410896787297365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210833786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13636586,0.0004559695,0.8551783,0.00041414314,0.00022985452,0.00014197192,0.000047783255,0.00087394443,0.006292139],"genre_scores_gemma":[0.90710396,0.0001433212,0.0899041,0.000075707045,0.00007735803,0.0000542408,0.00009285283,0.000056526544,0.00249202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972051,0.001027698,0.0001806242,0.0006280485,0.0006030846,0.00035556266],"domain_scores_gemma":[0.9909373,0.003975234,0.0005973893,0.0023429033,0.0011880993,0.0009590858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00540016,0.0005395681,0.0010917744,0.0008453477,0.0018253416,0.0025946887,0.0020175606,0.0013894314,0.0019833068],"category_scores_gemma":[0.0074141785,0.00062221213,0.0005151746,0.0007665517,0.0008040296,0.0031064262,0.004457139,0.0010777059,0.00046034207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013040175,0.0010859048,0.010428166,0.00025178204,0.0003390024,0.0011434531,0.0014167204,0.5716781,0.027354915,0.0981434,0.006522544,0.280332],"study_design_scores_gemma":[0.00003853331,0.00013456093,0.00045302967,0.000010666508,0.000036545844,0.00013269173,0.00017294665,0.97272676,0.0030623397,0.020381488,0.0028309051,0.000019511646],"about_ca_topic_score_codex":0.0016004643,"about_ca_topic_score_gemma":0.0029968726,"teacher_disagreement_score":0.00540016,"about_ca_system_score_codex":0.00066946977,"about_ca_system_score_gemma":0.0014772528,"threshold_uncertainty_score":0.028559148},"labels":[],"label_agreement":null},{"id":"W4360980626","doi":"10.1007/s10922-023-09729-0","title":"An Efficient Adaptive Meta Learning Model Based VNFs Affinity for Resource Prediction Optimization in Virtualized Networks","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Fusion mechanism; Classifier (UML); Artificial intelligence; Machine learning; Workload; Cloud computing; Resource allocation; Data mining; Distributed computing; Computer network; Fusion","score_opus":0.03669970026092511,"score_gpt":0.2513512469493477,"score_spread":0.21465154668842257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360980626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07170901,0.0009090236,0.92180884,0.0004012409,0.0002560101,0.00007044899,0.0001053096,0.00084455026,0.0038956308],"genre_scores_gemma":[0.9220816,0.00022395159,0.07361116,0.00023041188,0.00008772463,0.00009224561,0.00017434069,0.000064504886,0.0034340227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992786,0.0001819114,0.0000364172,0.00015510416,0.00019582653,0.00015207431],"domain_scores_gemma":[0.9990729,0.0004039923,0.0000661774,0.00006732393,0.00032008035,0.00006937528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010290797,0.00077379774,0.0015815978,0.0008174384,0.00072615943,0.0011643486,0.0024241358,0.0012225553,0.0021335445],"category_scores_gemma":[0.0023593686,0.0003913426,0.0006663193,0.0009572351,0.000429913,0.0013857888,0.0011398434,0.0009308064,0.00029997446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011316406,0.00012393382,0.001100207,0.000030427356,0.000052860927,0.000040814117,0.000026436022,0.9281791,0.001010294,0.0020119657,0.0014717154,0.06583923],"study_design_scores_gemma":[0.000002061637,0.000008848089,0.000031932494,0.0000010693041,0.0000032263806,0.000003834295,0.0000030176773,0.9994797,0.000091880145,0.00031816176,0.000055115128,0.0000011540264],"about_ca_topic_score_codex":0.012819319,"about_ca_topic_score_gemma":0.010565208,"teacher_disagreement_score":0.012819319,"about_ca_system_score_codex":0.001078787,"about_ca_system_score_gemma":0.0015169638,"threshold_uncertainty_score":0.02548939},"labels":[],"label_agreement":null},{"id":"W4362717980","doi":"10.1007/s10922-023-09734-3","title":"On Ensuring Full Yet Cost-Efficient Survivability of Service Function Chains in NFV Environments","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Survivability; Computer science; Backup; Provisioning; Software deployment; Service (business); Leverage (statistics); Key (lock); Computer network; Distributed computing; Computer security; Business","score_opus":0.0251099686309073,"score_gpt":0.2275334979578187,"score_spread":0.20242352932691138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362717980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12682547,0.00073265465,0.8576486,0.0023368106,0.00015840992,0.00027047357,0.00029777503,0.0005510094,0.011178748],"genre_scores_gemma":[0.9292345,0.0006225916,0.06652804,0.00024617903,0.00008585918,0.00010621301,0.0002646072,0.0001666541,0.0027452887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99501824,0.0015280562,0.000180451,0.00055772305,0.0013608452,0.0013546532],"domain_scores_gemma":[0.97821254,0.015283666,0.0011106771,0.0027358835,0.0020681962,0.0005889566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005443732,0.0018912905,0.0015563382,0.001043065,0.0017825137,0.0031022087,0.00296097,0.0023398385,0.0053090067],"category_scores_gemma":[0.02868948,0.0006101717,0.0008528933,0.0012865951,0.0028255912,0.0073782615,0.0054814965,0.0022587273,0.0005530255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005411594,0.00011978669,0.0014797741,0.00028766616,0.000069132184,0.00018577233,0.0002947684,0.8095502,0.0075245053,0.09475584,0.0035805907,0.08161084],"study_design_scores_gemma":[0.00003184662,0.00013491532,0.00043004254,0.000077818484,0.000032402593,0.00012017961,0.00028219935,0.89325094,0.0030099081,0.10089469,0.0017113099,0.00002362914],"about_ca_topic_score_codex":0.0069657583,"about_ca_topic_score_gemma":0.005869146,"teacher_disagreement_score":0.0069657583,"about_ca_system_score_codex":0.0026074552,"about_ca_system_score_gemma":0.0035486761,"threshold_uncertainty_score":0.02878958},"labels":[],"label_agreement":null},{"id":"W4385783183","doi":"10.1007/s10922-023-09756-x","title":"High-Precision, Predictable and Low-Latency Networking","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Latency (audio); Low latency (capital markets); Computer network; Telecommunications; Computer security","score_opus":0.013533952874122882,"score_gpt":0.21640563867982063,"score_spread":0.20287168580569775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385783183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16132063,0.0073451754,0.7904158,0.0018678474,0.0010188977,0.000080830294,0.00018405252,0.0027206037,0.035046197],"genre_scores_gemma":[0.95530885,0.0011999803,0.035103176,0.00016214215,0.0003426133,0.000026769345,0.00009745073,0.00009060652,0.007668285],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940705,0.00007210027,0.000028994613,0.000097538265,0.00028920863,0.000105270985],"domain_scores_gemma":[0.99855906,0.0004915744,0.00019060365,0.00036641594,0.00031473098,0.00007760604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006626554,0.00051665085,0.0003577803,0.00047644,0.00074996654,0.0018102679,0.0009891301,0.00052257365,0.0023299637],"category_scores_gemma":[0.0024191905,0.0002611196,0.0001393586,0.00042180705,0.00054623093,0.0019035583,0.0010256061,0.00092305086,0.0005460792],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009397601,0.00022107403,0.0057166563,0.00043281974,0.000088967055,0.00069210975,0.0002913231,0.15995906,0.15558238,0.2557082,0.011481238,0.4088863],"study_design_scores_gemma":[0.000105041225,0.0006677072,0.0026937767,0.000103059865,0.00010085939,0.0012360739,0.00022910185,0.7175019,0.06576313,0.18097198,0.030548995,0.00007845878],"about_ca_topic_score_codex":0.0005072769,"about_ca_topic_score_gemma":0.0011179748,"teacher_disagreement_score":0.0023299637,"about_ca_system_score_codex":0.00043574645,"about_ca_system_score_gemma":0.0008636683,"threshold_uncertainty_score":0.007794559},"labels":[],"label_agreement":null},{"id":"W4388134157","doi":"10.1007/s10922-023-09781-w","title":"BoostSec: Adaptive Attack Detection for Vehicular Networks","year":2023,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Automotive industry; Authentication (law); Wireless; Attack surface; Cloud computing; Telecommunications","score_opus":0.027842869187820283,"score_gpt":0.2609326754857781,"score_spread":0.2330898062979578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388134157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0678585,0.0005750687,0.81875235,0.00030695696,0.00030718689,0.00021716,0.0010413943,0.10799524,0.0029460914],"genre_scores_gemma":[0.7214002,0.0002803636,0.2696016,0.00018032329,0.000121794845,0.00015996475,0.0018831843,0.0012634376,0.005109086],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993331,0.00011899716,0.000032038588,0.00012868109,0.00029971567,0.000087450615],"domain_scores_gemma":[0.99879956,0.00042559957,0.00010616196,0.00033367914,0.00025086786,0.000084074614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011062967,0.0008941385,0.0007624548,0.001461039,0.00036361886,0.0008862034,0.001485489,0.0006981535,0.0030540063],"category_scores_gemma":[0.0029475845,0.000370722,0.00036989103,0.00069158373,0.0003735826,0.0014452299,0.001494979,0.00097417337,0.0010808613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019842116,0.0003547264,0.012542994,0.0002575595,0.00027295284,0.00041598472,0.00017514554,0.15201163,0.0320336,0.009879763,0.05397918,0.7360923],"study_design_scores_gemma":[0.000059988513,0.0001461986,0.0012387786,0.000008863863,0.000026492453,0.00017153812,0.000019318293,0.9763767,0.012998325,0.0036501596,0.0052821264,0.000021533242],"about_ca_topic_score_codex":0.002609631,"about_ca_topic_score_gemma":0.002714318,"teacher_disagreement_score":0.0030540063,"about_ca_system_score_codex":0.00050205237,"about_ca_system_score_gemma":0.00069181836,"threshold_uncertainty_score":0.010216653},"labels":[],"label_agreement":null},{"id":"W4393182829","doi":"10.1007/s10922-024-09810-2","title":"Dependability of Network Services in the Context of NFV: A Taxonomy and State of the Art Classification","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dependability; Computer science; Taxonomy (biology); Context (archaeology); Network Functions Virtualization; State (computer science); Data science; Computer security; Software engineering; Operating system","score_opus":0.022945211198493843,"score_gpt":0.2257959820299369,"score_spread":0.20285077083144304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393182829","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2756385,0.18336037,0.48666027,0.0036877163,0.00044394218,0.0004407345,0.001234706,0.0009770087,0.04755678],"genre_scores_gemma":[0.8693632,0.06567416,0.059992615,0.000352705,0.0007869012,0.00018493478,0.0014037461,0.00012816692,0.0021136021],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99420846,0.0007245788,0.00081647735,0.0008847399,0.0027854396,0.0005803309],"domain_scores_gemma":[0.96899277,0.020095536,0.0037182656,0.0029490048,0.0035554322,0.0006890328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004236857,0.00092569535,0.0011395009,0.010385383,0.0010377716,0.005159009,0.002742663,0.0021661536,0.0013694623],"category_scores_gemma":[0.015407775,0.00046654468,0.0015903731,0.0072602164,0.0035526375,0.010702231,0.002214721,0.0020209863,0.00023832323],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034351117,0.0002938686,0.052387796,0.0047896095,0.00037455937,0.001842883,0.0036118857,0.030656848,0.008253622,0.37247202,0.0036593,0.5213141],"study_design_scores_gemma":[0.000037088987,0.0005541611,0.047476757,0.004830924,0.0004249162,0.008155672,0.0046318173,0.18382287,0.008347856,0.6381009,0.10329266,0.00032440622],"about_ca_topic_score_codex":0.0037711707,"about_ca_topic_score_gemma":0.001510912,"teacher_disagreement_score":0.010385383,"about_ca_system_score_codex":0.0022919157,"about_ca_system_score_gemma":0.0018274089,"threshold_uncertainty_score":0.022406936},"labels":[],"label_agreement":null},{"id":"W4396616851","doi":"10.1007/s10922-024-09819-7","title":"Building a Comprehensive Intent-Based Networking Framework: A Practical Approach from Design Concepts to Implementation","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Software engineering; Engineering management","score_opus":0.06953257809208034,"score_gpt":0.35811790876677807,"score_spread":0.2885853306746977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396616851","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012149062,0.000042183317,0.99440116,0.0004902492,0.000022993956,0.00019620964,0.00003478188,0.0005189955,0.0030785797],"genre_scores_gemma":[0.040154886,0.00013726819,0.9564158,0.00020055218,0.00002379086,0.0004620407,0.0001618686,0.00021874475,0.0022250153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99350536,0.0022878856,0.0006247065,0.0006316805,0.0024263933,0.00052388903],"domain_scores_gemma":[0.99445313,0.0014960525,0.00033182462,0.0013978655,0.0018810167,0.00044018312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011344961,0.0015797024,0.0008878832,0.0026236423,0.0020282576,0.0068734186,0.0043028635,0.0026091856,0.005586779],"category_scores_gemma":[0.01063275,0.0015752967,0.001988285,0.0010931222,0.00390512,0.00920182,0.006216294,0.0050107692,0.0020538091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004016291,0.00023142422,0.0014064601,0.0003600072,0.000073936084,0.00032019475,0.0017024742,0.04415444,0.0050173323,0.84397674,0.0037015358,0.099015325],"study_design_scores_gemma":[0.000051273055,0.00025021224,0.00041850703,0.0007514069,0.00019884741,0.00046786512,0.001105453,0.3824659,0.011128802,0.5111488,0.09189519,0.00011768955],"about_ca_topic_score_codex":0.0053996737,"about_ca_topic_score_gemma":0.007423589,"teacher_disagreement_score":0.011344961,"about_ca_system_score_codex":0.0018572977,"about_ca_system_score_gemma":0.008003437,"threshold_uncertainty_score":0.059998572},"labels":[],"label_agreement":null},{"id":"W4399584044","doi":"10.1007/s10922-024-09830-y","title":"Offline and Real-Time Policy-based Management for Virtualized Services: Conflict and Redundancy Detection, and Automated Resolution","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Redundancy (engineering); Real-time computing; Conflict resolution; Resolution (logic); Time management; Computer security; Operating system; Artificial intelligence","score_opus":0.011040592138753878,"score_gpt":0.25412556793328034,"score_spread":0.24308497579452645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399584044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27693266,0.00055549626,0.710367,0.0010771612,0.00026915714,0.00021653554,0.00015007191,0.0024713916,0.007960498],"genre_scores_gemma":[0.9737423,0.000036493533,0.025454465,0.0000504528,0.00003182622,0.00001682648,0.000028681061,0.000028833216,0.00061012415],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964581,0.0013673527,0.0002474137,0.00053028634,0.000899036,0.0004977645],"domain_scores_gemma":[0.9924034,0.003141263,0.0010278212,0.0016503413,0.0012755311,0.0005016558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036777488,0.0006324849,0.00096163474,0.0011688477,0.0010701184,0.0028882995,0.0018911147,0.0007468705,0.0017538078],"category_scores_gemma":[0.009533434,0.00039667598,0.00034056779,0.000719833,0.0011055381,0.0031038297,0.0014705699,0.0014577757,0.00028337986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029887457,0.002099776,0.013986932,0.00017728483,0.00028467804,0.00063392904,0.0012359943,0.38328207,0.03953288,0.06318003,0.006673196,0.4859245],"study_design_scores_gemma":[0.00001954242,0.00011208753,0.0008741415,0.0000063944317,0.000025027837,0.00008198332,0.000114397706,0.9839653,0.0053066714,0.008932317,0.00054376473,0.000018526987],"about_ca_topic_score_codex":0.005175724,"about_ca_topic_score_gemma":0.0046897638,"teacher_disagreement_score":0.005175724,"about_ca_system_score_codex":0.0014924662,"about_ca_system_score_gemma":0.003611762,"threshold_uncertainty_score":0.019450068},"labels":[],"label_agreement":null},{"id":"W4399625707","doi":"10.1007/s10922-024-09831-x","title":"Benchmarking Large Language Models for Log Analysis, Security, and Interpretation","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Benchmarking; Pipeline (software); Adaptation (eye); Language model; Domain (mathematical analysis); Interpretation (philosophy); Variety (cybernetics); Data mining; Data science; Artificial intelligence; Programming language","score_opus":0.008274013247924983,"score_gpt":0.2573795766463653,"score_spread":0.2491055633984403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399625707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30860817,0.0016246148,0.6277397,0.0023641442,0.0006712358,0.0006846269,0.0053348094,0.044665895,0.008306711],"genre_scores_gemma":[0.78263915,0.0004227367,0.204379,0.00034218156,0.00012750055,0.00043748115,0.0070978007,0.0026670268,0.0018871423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9852858,0.008163824,0.0014392219,0.001322808,0.0031447983,0.0006436338],"domain_scores_gemma":[0.9186718,0.05862104,0.001482067,0.013531605,0.006736482,0.0009570509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01108564,0.0015850238,0.0012914538,0.002315005,0.0010324022,0.0032838741,0.0051236073,0.0023179883,0.0071133887],"category_scores_gemma":[0.06902754,0.0010202111,0.0019579756,0.0024158543,0.0016086692,0.007735878,0.0031313226,0.003022281,0.001775242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023615677,0.002002982,0.008761331,0.0006686432,0.0003671743,0.00029736865,0.00054699264,0.75354415,0.0057054423,0.03920877,0.022511488,0.16402407],"study_design_scores_gemma":[0.00007711009,0.000094315124,0.00031354805,0.000016137292,0.000030358906,0.000019950588,0.000058879054,0.9861093,0.0020799323,0.010000203,0.0011827314,0.000017609893],"about_ca_topic_score_codex":0.016124835,"about_ca_topic_score_gemma":0.022289416,"teacher_disagreement_score":0.016124835,"about_ca_system_score_codex":0.0036186755,"about_ca_system_score_gemma":0.0059917048,"threshold_uncertainty_score":0.05862719},"labels":[],"label_agreement":null},{"id":"W4404703952","doi":"10.1007/s10922-024-09879-9","title":"A Privacy-Preserving Surveillance Video Sharing Scheme: Storage, Authentication, and Joint Retrieval","year":2024,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scheme (mathematics); Joint (building); Authentication (law); Computer security; Secret sharing; Computer network; Privacy protection; Internet privacy; Cryptography","score_opus":0.02090611056495807,"score_gpt":0.2562082662494775,"score_spread":0.23530215568451945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404703952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.123215385,0.0006782015,0.8703632,0.0005279495,0.00012253899,0.0002630558,0.00022727036,0.0010004685,0.0036019494],"genre_scores_gemma":[0.9144306,0.0002449508,0.08062899,0.00012555266,0.00016111198,0.00008512008,0.00021154233,0.000031172218,0.004080875],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981147,0.0004176637,0.00012156596,0.0003267683,0.0007095963,0.00030968498],"domain_scores_gemma":[0.9965789,0.0005502696,0.0002891164,0.0018180914,0.0005691012,0.00019450716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015385301,0.0005234343,0.001593592,0.0006626788,0.0013896642,0.0013167791,0.0018152102,0.0013212538,0.0016857007],"category_scores_gemma":[0.0028466932,0.00033641214,0.0006998976,0.001105256,0.0008766622,0.003234155,0.0026105745,0.000979074,0.0007207755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039806026,0.0009968228,0.003302362,0.00033148067,0.00037323398,0.000827407,0.0006463812,0.07908076,0.29046866,0.13592811,0.011339795,0.47272435],"study_design_scores_gemma":[0.00031697843,0.00095132354,0.0016099443,0.00002331194,0.00023586903,0.0023032834,0.00014137661,0.8619085,0.091011345,0.032332588,0.009018193,0.00014729441],"about_ca_topic_score_codex":0.0010726184,"about_ca_topic_score_gemma":0.0010865057,"teacher_disagreement_score":0.0018152102,"about_ca_system_score_codex":0.0008483205,"about_ca_system_score_gemma":0.0018738438,"threshold_uncertainty_score":0.00813663},"labels":[],"label_agreement":null},{"id":"W4406280487","doi":"10.1007/s10922-025-09898-0","title":"FL-DBA: Fuzzy Logic Based Dynamic Bandwidth Allocation Algorithm for Next Generation Passive Optical Network","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Dynamic bandwidth allocation; Fuzzy logic; Computer science; Bandwidth (computing); Algorithm; Telecommunications; Artificial intelligence","score_opus":0.016830120120646455,"score_gpt":0.23521555762231106,"score_spread":0.21838543750166461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406280487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02834412,0.00039039477,0.9650371,0.0002140938,0.00011732894,0.0000661212,0.00007876402,0.0007641103,0.004987945],"genre_scores_gemma":[0.727093,0.00019683568,0.26605302,0.0002466352,0.000044137563,0.00016133198,0.00019360907,0.0000469716,0.0059644524],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998204,0.000027042131,0.000009023956,0.000046667254,0.000061383274,0.000035449728],"domain_scores_gemma":[0.9998783,0.000039019615,0.000010052194,0.000007363205,0.00005510115,0.000010209246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003878102,0.0003632495,0.00055774424,0.00048518355,0.000520715,0.00067997933,0.0011723678,0.0007283669,0.0036408007],"category_scores_gemma":[0.000566371,0.00017344455,0.0003530604,0.00033553306,0.00027564546,0.00067049847,0.0005217825,0.00068916706,0.00031696196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003310972,0.00024690686,0.000828743,0.00009042324,0.000053364212,0.000063026106,0.00006407469,0.43599412,0.013375648,0.008786806,0.005203776,0.534962],"study_design_scores_gemma":[0.000017793083,0.000045248256,0.000092447306,0.00000460182,0.0000061536184,0.000020869624,0.0000069052917,0.99673057,0.0012831991,0.0010627857,0.0007252855,0.0000041961707],"about_ca_topic_score_codex":0.008451452,"about_ca_topic_score_gemma":0.007409057,"teacher_disagreement_score":0.008451452,"about_ca_system_score_codex":0.00086403004,"about_ca_system_score_gemma":0.000993405,"threshold_uncertainty_score":0.016804516},"labels":[],"label_agreement":null},{"id":"W4408283015","doi":"10.1007/s10922-025-09917-0","title":"Toward Generating a Large Scale Intrusion Detection Dataset and Intruders Behavioral Profiling Using Network and Transportation Layers Traffic Flow Analyzer (NTLFlowLyzer)","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Profiling (computer programming); Intrusion detection system; Spectrum analyzer; Intrusion; Scale (ratio); Data mining; Computer network; Real-time computing; Telecommunications; Operating system","score_opus":0.02034128597524085,"score_gpt":0.2610441795711468,"score_spread":0.24070289359590594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408283015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36743805,0.0005057052,0.33019742,0.0012703192,0.000485445,0.0016685892,0.2260474,0.069022655,0.0033644221],"genre_scores_gemma":[0.24540049,0.00023970891,0.26951867,0.00035666776,0.0001271595,0.00092554325,0.4808307,0.000499688,0.0021012726],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999121,0.00010659225,0.00006935852,0.00035687676,0.00023730396,0.000108981796],"domain_scores_gemma":[0.9980544,0.0003786554,0.00020419339,0.0005190778,0.0006564193,0.00018739769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037268,0.0016313773,0.0008221955,0.0036252989,0.0006848005,0.0010362674,0.0017168785,0.0009785215,0.0011375177],"category_scores_gemma":[0.0038814482,0.0006142093,0.0011539508,0.0018971189,0.0002811146,0.0015506381,0.001408621,0.001484044,0.0019215835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079003716,0.0053333133,0.16514114,0.0008709342,0.0010065833,0.0015498638,0.0004668742,0.11289251,0.09338196,0.004175561,0.23813272,0.37625852],"study_design_scores_gemma":[0.00016511448,0.00056364,0.08171158,0.000094262345,0.0002154567,0.0005176685,0.00045008404,0.85017914,0.03106525,0.0053653573,0.029562812,0.00010963829],"about_ca_topic_score_codex":0.010928722,"about_ca_topic_score_gemma":0.017457535,"teacher_disagreement_score":0.010928722,"about_ca_system_score_codex":0.00070402346,"about_ca_system_score_gemma":0.0016019074,"threshold_uncertainty_score":0.021730244},"labels":[],"label_agreement":null},{"id":"W4410606064","doi":"10.1007/s10922-025-09928-x","title":"A Novel Framework for Integrating Blockchain-Driven Federated Learning with Neural Networks in E-Commerce","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blockchain; Computer science; Artificial neural network; Data science; Knowledge management; World Wide Web; Artificial intelligence; Computer security","score_opus":0.011737961437042975,"score_gpt":0.24937753804248197,"score_spread":0.237639576605439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410606064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010447419,0.00017899951,0.9865197,0.00023063214,0.000049080772,0.00004539251,0.0000516133,0.00043049065,0.00204656],"genre_scores_gemma":[0.67028564,0.0003394094,0.3232147,0.00019212565,0.00009241483,0.00017334707,0.00020080271,0.000097285185,0.0054042097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993851,0.00020193329,0.000043403168,0.00011978376,0.00016759499,0.000082096376],"domain_scores_gemma":[0.9989679,0.00048876903,0.00006981325,0.000154763,0.0002584629,0.000060352275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017158304,0.00042448603,0.000983499,0.0005999586,0.0006509331,0.0012353907,0.0020630027,0.0014748591,0.003337118],"category_scores_gemma":[0.0034654534,0.0003756174,0.0005082408,0.00083724153,0.000801157,0.002422703,0.0020379578,0.0012984799,0.0005050393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118053795,0.00016704744,0.0008365836,0.000058720256,0.00007431471,0.00011860222,0.00006158415,0.80730516,0.0019134475,0.07666326,0.0014144308,0.1112688],"study_design_scores_gemma":[0.0000029080202,0.0000060313073,0.000022465707,0.000002256154,0.0000029259575,0.0000054306174,0.000002263911,0.98833394,0.00021602516,0.011181648,0.00022215126,0.0000019927736],"about_ca_topic_score_codex":0.0074582854,"about_ca_topic_score_gemma":0.009015988,"teacher_disagreement_score":0.0074582854,"about_ca_system_score_codex":0.00094617927,"about_ca_system_score_gemma":0.0017228641,"threshold_uncertainty_score":0.014829755},"labels":[],"label_agreement":null},{"id":"W4411497735","doi":"10.1007/s10922-025-09955-8","title":"Fault Tolerance in Service Function Chains: A Taxonomy, Survey and Future Directions","year":2025,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Taxonomy (biology); Fault tolerance; Function (biology); Service (business); Distributed computing; Business; Marketing","score_opus":0.01822702314164054,"score_gpt":0.22336106059754535,"score_spread":0.2051340374559048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411497735","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026308928,0.77932936,0.17332245,0.0056457007,0.00066059054,0.00017435406,0.00017960668,0.00040361585,0.013975316],"genre_scores_gemma":[0.19556072,0.68404347,0.11254464,0.0011365854,0.0022349649,0.00019419109,0.0005039898,0.00008188277,0.003699729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976125,0.00040573813,0.00032841446,0.0004574693,0.0009298259,0.0002659627],"domain_scores_gemma":[0.9867067,0.0076047797,0.0016949803,0.0008015795,0.002609611,0.0005824114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037059656,0.0010327923,0.0021840783,0.0081260195,0.0013953275,0.0067712837,0.003264123,0.0029316787,0.0021241251],"category_scores_gemma":[0.0071425354,0.0007193129,0.0010288056,0.015422242,0.0029734417,0.011948211,0.0018688741,0.0024075543,0.00056109624],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013292886,0.0002949357,0.008562806,0.0046168827,0.000084262974,0.00024110329,0.00080700015,0.015943168,0.0013574328,0.15230131,0.0047461204,0.8109121],"study_design_scores_gemma":[0.000075094205,0.0011826219,0.008883511,0.009116285,0.00023468923,0.0046639377,0.0043329964,0.13906789,0.0032026418,0.49602216,0.33291966,0.0002984688],"about_ca_topic_score_codex":0.0028228813,"about_ca_topic_score_gemma":0.0019299072,"teacher_disagreement_score":0.0081260195,"about_ca_system_score_codex":0.003001335,"about_ca_system_score_gemma":0.004050741,"threshold_uncertainty_score":0.021776319},"labels":[],"label_agreement":null}]}