{"meta":{"query_hash":"524a2ca0d9fd","filters":{"venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems"},"cohort_total":25,"direct_labels_cover":0,"predictions_cover":25,"exported":25,"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/524a2ca0d9fd","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Symposium+on+Performance+Evaluation+of+Computer+and+Telecommunication+Systems"},"results":[{"id":"W1482452012","doi":"","title":"Decision Aided detection and performance of Continuous Phase Chirp Keying","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Continuous phase modulation; Additive white Gaussian noise; Minimum-shift keying; Bit error rate; Chirp; Computer science; Keying; Matched filter; Phase-shift keying; Modulation (music); Algorithm; Frequency-shift keying; Electronic engineering; Mathematics; Telecommunications; Demodulation; White noise; Decoding methods; Optics; Physics; Acoustics; Engineering","score_opus":0.017756326892669785,"score_gpt":0.28276684608683694,"score_spread":0.2650105191941672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482452012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97105896,0.00043859013,0.026098432,0.000046160032,0.000323108,0.0006357972,0.0000049905548,0.000116601965,0.0012773288],"genre_scores_gemma":[0.99319535,0.002676205,0.0038040632,0.000013138489,0.000046008456,0.00020759036,0.000027853783,0.000020994577,0.0000087845465],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838924,0.000113277594,0.0007144784,0.00016080627,0.00051188935,0.00011029377],"domain_scores_gemma":[0.9981421,0.00020280326,0.00031489195,0.0005194432,0.0007762386,0.00004448234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000781387,0.0001631538,0.0002571451,0.00023500054,0.00009654791,0.000055233628,0.00037732266,0.000082484585,0.000016759439],"category_scores_gemma":[0.000020524409,0.0001633472,0.000032341126,0.00013939178,0.00007978913,0.0006488746,0.000106772975,0.00016077234,0.000006528222],"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":[0.000073750685,0.0001130845,0.0031710274,0.00012625339,0.00007669881,2.294902e-8,0.0004055289,0.09987348,0.0269943,0.00029950493,0.000039589577,0.86882675],"study_design_scores_gemma":[0.0010799977,0.0002925941,0.02404755,0.00031249892,0.000015568785,0.000010835152,0.00003389905,0.9380696,0.0355931,0.000043235166,0.0003599059,0.00014125067],"about_ca_topic_score_codex":0.000023971792,"about_ca_topic_score_gemma":0.0000019045523,"teacher_disagreement_score":0.8686855,"about_ca_system_score_codex":0.000098284676,"about_ca_system_score_gemma":0.000013508462,"threshold_uncertainty_score":0.6661105},"labels":[],"label_agreement":null},{"id":"W1486143460","doi":"","title":"A novel strategy for cognitive radio networks with diversity and non-identical fading channels","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fading; Cognitive radio; Nakagami distribution; Computer science; Relay; False alarm; Bandwidth (computing); Channel (broadcasting); Diversity scheme; Cooperative diversity; Diversity combining; Computer network; Telecommunications; Wireless; Artificial intelligence","score_opus":0.03821977864569009,"score_gpt":0.2771382199719598,"score_spread":0.23891844132626971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486143460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45461935,0.000070221904,0.54384106,0.00023501698,0.00024658462,0.00059226213,0.0000019336599,0.000018617386,0.0003749639],"genre_scores_gemma":[0.99642617,0.00013069021,0.003059012,0.000071707385,0.00018321411,0.000084981446,0.00002023618,0.000008388353,0.000015603158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862504,0.000094369905,0.00034083307,0.00029557123,0.00048060305,0.00016358407],"domain_scores_gemma":[0.9979781,0.0003687034,0.00025664884,0.00022188343,0.0011063073,0.00006837776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009049087,0.00015055994,0.00021266233,0.00012387247,0.00042766434,0.0002731111,0.0003586459,0.00005827496,0.000003406645],"category_scores_gemma":[0.000011582381,0.00013319305,0.00003356551,0.0001316435,0.000077355035,0.0007313568,0.0003521715,0.00011797117,0.0000015408483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023712794,0.00041910014,0.02029933,0.00010472651,0.00064237596,6.5521175e-7,0.004441236,0.7121511,0.00045361882,0.017570594,0.00018069718,0.24349944],"study_design_scores_gemma":[0.0015045246,0.00033947336,0.071014166,0.00025276103,0.00002991205,0.0000383932,0.000049810285,0.9264459,0.00010505744,0.000056677676,0.000018751934,0.00014459321],"about_ca_topic_score_codex":0.00007681661,"about_ca_topic_score_gemma":0.0000045824254,"teacher_disagreement_score":0.5418068,"about_ca_system_score_codex":0.00007039856,"about_ca_system_score_gemma":0.000029387618,"threshold_uncertainty_score":0.5431455},"labels":[],"label_agreement":null},{"id":"W1525645311","doi":"","title":"Cloud Service Level planning under burstiness","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Burstiness; Computer science; Workload; Scalability; Cloud computing; Distributed computing; Resource allocation; Service level; Cluster analysis; Capacity planning; Service (business); Resource (disambiguation); Computer network; Database; Machine learning","score_opus":0.06242783773237973,"score_gpt":0.2995437251452636,"score_spread":0.2371158874128839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525645311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.918284,0.00014077462,0.070962265,0.004256748,0.001386516,0.0004946411,0.0000016293155,0.00010270473,0.0043706987],"genre_scores_gemma":[0.9964996,0.000017077336,0.002528457,0.00045837718,0.0002574289,0.000091684684,0.00001259562,0.000010298816,0.00012447625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977937,0.00024742153,0.00053528673,0.00030699055,0.00095095235,0.00016565443],"domain_scores_gemma":[0.9975221,0.00018318118,0.0003572296,0.00071069534,0.001166082,0.000060679708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013186742,0.0001687914,0.00018977077,0.00018098387,0.00018099093,0.00026895604,0.0012610897,0.000060821167,0.000014839176],"category_scores_gemma":[0.000010131705,0.0001523953,0.000040040934,0.00027009228,0.000032351625,0.0001451265,0.00046285582,0.00014249672,0.000062053594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008824174,0.00010107933,0.0011784683,0.000036400343,0.00007878405,1.0241118e-7,0.0009124633,0.93211704,0.0001428028,0.008332903,0.00050343905,0.056587692],"study_design_scores_gemma":[0.0006240869,0.000095104224,0.041684397,0.00020625716,0.000011378829,0.000014297355,0.000075806136,0.9555199,0.00017104366,0.0001375875,0.0013013277,0.00015879622],"about_ca_topic_score_codex":0.00012288833,"about_ca_topic_score_gemma":0.0000015820323,"teacher_disagreement_score":0.078215584,"about_ca_system_score_codex":0.00010545331,"about_ca_system_score_gemma":0.00004031947,"threshold_uncertainty_score":0.62145},"labels":[],"label_agreement":null},{"id":"W1532327740","doi":"","title":"Performance analysis of distributed software systems: A model-driven approach","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Computer science; Software quality; Software engineering; Task (project management); Process (computing); Software system; Set (abstract data type); Software performance testing; Software; Software construction; Reliability engineering; Distributed computing; Software development; Systems engineering; Engineering; Operating system; Programming language","score_opus":0.02587462932327893,"score_gpt":0.2814888221969175,"score_spread":0.25561419287363857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532327740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7549693,0.0000703987,0.24243164,0.000081907776,0.00092808163,0.00057228433,0.00004903994,0.000089963905,0.0008073869],"genre_scores_gemma":[0.9874605,0.00017908968,0.011773661,0.00001898931,0.00008582932,0.00018368114,0.00026536052,0.000012303853,0.000020600872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963683,0.00027259014,0.0011820238,0.00047716298,0.0014845926,0.00021532338],"domain_scores_gemma":[0.99510896,0.00022640153,0.0009072837,0.0014966818,0.002169877,0.00009078812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002758544,0.0002562832,0.0005776098,0.00056190183,0.00018194315,0.0001436076,0.0016517241,0.00017799341,0.0000056699164],"category_scores_gemma":[0.0000465909,0.000222512,0.00015463961,0.00091619196,0.00013456415,0.00088177196,0.00031352023,0.00029909477,0.0000056773742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029466393,0.0002185701,0.04544907,0.00014581345,0.0004442807,3.9509768e-8,0.0005956023,0.94127125,0.0002962968,0.0025107735,0.00004413739,0.008994732],"study_design_scores_gemma":[0.00062491675,0.0001250087,0.07541168,0.00010707375,0.0001740939,0.0000111911295,0.000023814722,0.922867,0.00025215253,0.0000066094426,0.00019653355,0.00019994963],"about_ca_topic_score_codex":0.000055872613,"about_ca_topic_score_gemma":0.0000035736584,"teacher_disagreement_score":0.2324912,"about_ca_system_score_codex":0.0001223142,"about_ca_system_score_gemma":0.00015771085,"threshold_uncertainty_score":0.9073776},"labels":[],"label_agreement":null},{"id":"W1558775824","doi":"","title":"Network calculus based modeling of anomaly detection","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Server; Service (business); Anomaly detection; Denial-of-service attack; Terminology; Web service; Event (particle physics); Web server; Computer network; The Internet; Distributed computing; Data mining; World Wide Web","score_opus":0.025253253484631137,"score_gpt":0.2675475112759664,"score_spread":0.24229425779133523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558775824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61097974,0.00006451166,0.3849256,0.00027442348,0.0019093535,0.0002800381,0.0000016760746,0.00004738469,0.0015172549],"genre_scores_gemma":[0.9946543,0.000059375252,0.004865372,0.00007072794,0.00027275094,0.000049777616,0.000013499302,0.000008027802,0.0000061531823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979291,0.00024325537,0.00063548365,0.00025162552,0.0008084296,0.00013210315],"domain_scores_gemma":[0.99762017,0.00013696445,0.00043603702,0.00064139435,0.0011175802,0.000047882546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022086978,0.00013409903,0.00019652852,0.00018329085,0.00015921776,0.0000894811,0.0007311047,0.00010914989,0.000012986165],"category_scores_gemma":[0.000022453667,0.0001318853,0.000058447295,0.00028573597,0.000048893777,0.00053332775,0.00014427806,0.00024345468,0.0000051369116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004698659,0.00009838996,0.0005995872,0.00002395254,0.000030634616,4.9971586e-8,0.00017259929,0.91250134,0.0034858668,0.008533201,0.000023001934,0.07448439],"study_design_scores_gemma":[0.00059728976,0.00020556574,0.003240569,0.00008913973,0.000013412385,0.0000108507,0.0000046722494,0.99056494,0.0043523274,0.00015372685,0.0006487114,0.00011879376],"about_ca_topic_score_codex":0.00007604527,"about_ca_topic_score_gemma":0.000026503916,"teacher_disagreement_score":0.38367456,"about_ca_system_score_codex":0.000052347463,"about_ca_system_score_gemma":0.000066144064,"threshold_uncertainty_score":0.53781265},"labels":[],"label_agreement":null},{"id":"W1560773978","doi":"","title":"PCIU: An efficient packet classification algorithm with an incremental update capability","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Bottleneck; Network packet; Statistical classification; Algorithm; Routing algorithm; Routing (electronic design automation); Data mining; Computer network; Artificial intelligence; Routing protocol; Embedded system","score_opus":0.02569693793863277,"score_gpt":0.2914582352866313,"score_spread":0.2657612973479985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560773978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77097267,0.000021882883,0.22665825,0.00040025133,0.00071810244,0.0004065644,0.000007592457,0.00010059669,0.0007140742],"genre_scores_gemma":[0.942137,0.00004449175,0.057180043,0.00007645447,0.00019134552,0.000085840074,0.00026502387,0.000013106501,0.000006719296],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733764,0.0004108574,0.00054331706,0.00046525616,0.0010778402,0.00016508858],"domain_scores_gemma":[0.99690497,0.00007379615,0.00047596407,0.001040961,0.0013921671,0.00011216967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002731604,0.00019327516,0.00019061237,0.00017280711,0.0002671257,0.0003632836,0.0010204948,0.00009538087,0.000012252809],"category_scores_gemma":[0.000010621856,0.0001683817,0.000026866932,0.0002610364,0.00011523489,0.001211938,0.00011886,0.0002435083,0.000008024464],"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":[0.00010146382,0.0009139181,0.0046782047,0.00003240893,0.00006727123,2.0721902e-7,0.0014632033,0.47587425,0.0015480958,0.013495314,0.00003821554,0.5017874],"study_design_scores_gemma":[0.0008179404,0.00039749237,0.021693032,0.00005404978,0.00001702919,0.000025828931,0.000048970236,0.9755678,0.00082097476,0.000058865888,0.00030566787,0.00019234842],"about_ca_topic_score_codex":0.000035448415,"about_ca_topic_score_gemma":0.0000210307,"teacher_disagreement_score":0.5015951,"about_ca_system_score_codex":0.00010470033,"about_ca_system_score_gemma":0.000120381024,"threshold_uncertainty_score":0.6866406},"labels":[],"label_agreement":null},{"id":"W1567216278","doi":"","title":"Matchmaking with limited knowledge of resources on clouds and grids","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reservation; Computer science; Distributed computing; Cloud computing; Scheduling (production processes); Grid; Grid computing; Processor scheduling; A priori and a posteriori; Resource (disambiguation); Middleware (distributed applications); Computer network; Operating system; Engineering","score_opus":0.020733614995908884,"score_gpt":0.2764338830664907,"score_spread":0.2557002680705818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567216278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876499,0.000095000585,0.0031929323,0.0006281274,0.0005692503,0.00028709782,0.000001600464,0.000048005244,0.007528069],"genre_scores_gemma":[0.9974328,0.00003315386,0.0022593304,0.000047482215,0.00013427003,0.00002557766,0.0000049757996,0.000008677194,0.00005370931],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838525,0.00018844532,0.00043654276,0.0002695877,0.00060932577,0.00011081879],"domain_scores_gemma":[0.9980945,0.00024792712,0.00039215715,0.0006301145,0.00058988755,0.000045419616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015753503,0.00014524937,0.00019795401,0.00022448578,0.0001304548,0.000112711175,0.0007522256,0.000057438167,0.0000029344299],"category_scores_gemma":[0.000013113533,0.00011659356,0.000029837363,0.00020088181,0.00009399931,0.000060553186,0.00029380785,0.00019248445,0.0000033805245],"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":[0.00027724926,0.001005353,0.023615107,0.00031660713,0.00043533253,6.6497057e-7,0.01203095,0.30255798,0.0035657329,0.085681275,0.0002558944,0.57025784],"study_design_scores_gemma":[0.0008236963,0.00042743093,0.054598268,0.0003098095,0.0000163502,0.000018925046,0.000044678618,0.9396182,0.00092994154,0.000032270673,0.0030506076,0.00012982929],"about_ca_topic_score_codex":0.000025251167,"about_ca_topic_score_gemma":0.000005029286,"teacher_disagreement_score":0.6370602,"about_ca_system_score_codex":0.000032264874,"about_ca_system_score_gemma":0.00002845305,"threshold_uncertainty_score":0.47545472},"labels":[],"label_agreement":null},{"id":"W1650292994","doi":"10.5555/2874988.2874989","title":"Approximate mean value analysis for multi-core systems","year":2015,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Multi-core processor; Core (optical fiber); Computer performance; Stability (learning theory); Distributed computing; Algorithm; Computer engineering; Parallel computing; Machine learning","score_opus":0.10924562693680548,"score_gpt":0.3489595384770916,"score_spread":0.23971391154028612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1650292994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046720475,0.00030452255,0.9495742,0.0002630009,0.000954847,0.00084715395,0.0000119341485,0.00019123148,0.0011326742],"genre_scores_gemma":[0.90943164,0.000108752305,0.08984993,0.000058732054,0.000111968155,0.00023590517,0.00011813208,0.000011911684,0.00007303159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737126,0.00032982303,0.0007616021,0.00039395626,0.0009695457,0.00017381321],"domain_scores_gemma":[0.9960699,0.00017032574,0.00060792646,0.0008350888,0.0022133938,0.000103330676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038198524,0.00019718255,0.00035536566,0.0004565027,0.00014987448,0.0002803388,0.0011278691,0.00009401324,0.0000010435555],"category_scores_gemma":[0.00004227219,0.00018546204,0.00010499587,0.00049287366,0.000046344303,0.00051051704,0.00022653127,0.000106238826,0.0000046756795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024914965,0.00013370097,0.0022665751,0.00002934092,0.00027490646,5.9066384e-8,0.0008273292,0.9607054,0.000028062115,0.030425495,0.00023563365,0.0050485707],"study_design_scores_gemma":[0.001188384,0.0001941012,0.0024800869,0.00007831207,0.00008418021,0.000008244315,0.000038050322,0.9941975,0.00023836778,0.000079318655,0.0012223783,0.00019110856],"about_ca_topic_score_codex":0.000065379194,"about_ca_topic_score_gemma":0.0000020930788,"teacher_disagreement_score":0.8627112,"about_ca_system_score_codex":0.00018481053,"about_ca_system_score_gemma":0.00010420565,"threshold_uncertainty_score":0.7562922},"labels":[],"label_agreement":null},{"id":"W1670306338","doi":"10.5555/2874988.2875010","title":"An enhancement to the novel RoF-PON as a fibre-wireless services enabling technology","year":2015,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Radio over fiber; Wavelength-division multiplexing; Passive optical network; Telecommunications link; Optical wireless; Wireless; Electronic engineering; Computer science; Access network; Optical Carrier transmission rates; SIGNAL (programming language); Multiplexing; Telecommunications; Computer network; Engineering; Optoelectronics; Wavelength; Materials science","score_opus":0.030901624171618607,"score_gpt":0.30547368732320246,"score_spread":0.27457206315158383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1670306338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96244055,0.000560793,0.030496292,0.0011376726,0.0011058438,0.00095737015,0.000010995394,0.00016732431,0.0031231819],"genre_scores_gemma":[0.9974962,0.00026723873,0.0014271428,0.000108717955,0.00015177399,0.0004141056,0.00007625562,0.000026017718,0.000032558717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979013,0.00017039102,0.0006562386,0.0002329166,0.0008745498,0.00016459665],"domain_scores_gemma":[0.9972804,0.00010000781,0.00023772016,0.0011778126,0.0011070861,0.00009698122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018848107,0.00019153427,0.0002265064,0.00026282828,0.00013229335,0.00011699117,0.0012523403,0.00008972904,0.000010258857],"category_scores_gemma":[0.000012252877,0.00016562974,0.000029285218,0.0003425304,0.000041595264,0.0004123635,0.00018728629,0.00018957027,0.0000564721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050469152,0.00012330928,0.0005088589,0.000055409168,0.00010445955,6.232e-8,0.0032066246,0.93545556,0.011956025,0.0022521976,0.00007757431,0.046209443],"study_design_scores_gemma":[0.0007318382,0.00022489365,0.0006610929,0.00024522468,0.00001675447,0.000022359523,0.0006390393,0.9608865,0.011007225,0.000029126928,0.025358966,0.00017702591],"about_ca_topic_score_codex":0.00006161357,"about_ca_topic_score_gemma":0.000019668,"teacher_disagreement_score":0.046032418,"about_ca_system_score_codex":0.0002989966,"about_ca_system_score_gemma":0.00006274641,"threshold_uncertainty_score":0.6754185},"labels":[],"label_agreement":null},{"id":"W1726294545","doi":"","title":"Network tomography by Non Negative Matrix Factorization (NNMF)","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Network tomography; Computer science; Matrix decomposition; Algorithm; Tomography; Routing (electronic design automation); Matrix (chemical analysis); Mathematical optimization; Inference; Mathematics; Artificial intelligence","score_opus":0.01650515778627281,"score_gpt":0.29408445429848984,"score_spread":0.277579296512217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1726294545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39288837,0.000096750286,0.5952775,0.0018994801,0.0020671405,0.000978448,0.00001389868,0.00022590604,0.0065525],"genre_scores_gemma":[0.98453593,0.00013087435,0.014628453,0.00021384342,0.00018858067,0.00012749132,0.00010160693,0.00001350693,0.000059739625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975665,0.0003233143,0.0006223456,0.00033487842,0.0009919391,0.00016098151],"domain_scores_gemma":[0.9972554,0.0002309742,0.0005523168,0.0007356991,0.0011585589,0.00006705229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021839107,0.00019218895,0.00021438856,0.00021591206,0.0001786379,0.00029189163,0.001075853,0.00013206864,0.000014798348],"category_scores_gemma":[0.00002579752,0.00018722743,0.00005634672,0.00037945286,0.00006726233,0.0010280743,0.00020046238,0.00030284395,0.000012558337],"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":[0.0002404726,0.0015063711,0.040809173,0.00015953786,0.0006289548,5.3635125e-7,0.010216219,0.23658215,0.051856913,0.38633707,0.024051022,0.2476116],"study_design_scores_gemma":[0.00070273195,0.00021900555,0.017081248,0.00007627547,0.000013699562,0.000008949483,0.000013709971,0.96733177,0.007518254,0.0006936571,0.0061170217,0.0002236961],"about_ca_topic_score_codex":0.000038028247,"about_ca_topic_score_gemma":0.0000056260164,"teacher_disagreement_score":0.7307496,"about_ca_system_score_codex":0.00005922685,"about_ca_system_score_gemma":0.00007220346,"threshold_uncertainty_score":0.76349133},"labels":[],"label_agreement":null},{"id":"W1800215082","doi":"","title":"Stability condition for SIP retransmission mechanism: Analysis and performance evaluation","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Retransmission; Computer science; Session Initiation Protocol; Computer network; Server; Crash; Queueing theory; Queue; Real-time computing; Distributed computing; Operating system; Network packet","score_opus":0.02582327517951636,"score_gpt":0.29064855747952784,"score_spread":0.26482528230001146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1800215082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71559834,0.000080888865,0.28132248,0.00066772057,0.0008469993,0.0009286967,0.00001076557,0.000053621396,0.00049048814],"genre_scores_gemma":[0.99290586,0.0002344462,0.006105462,0.00006607532,0.00015692298,0.000355373,0.00015132621,0.000009186559,0.000015331736],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972556,0.0003483772,0.0006634708,0.0004490564,0.0011200247,0.00016345845],"domain_scores_gemma":[0.9964319,0.0003295455,0.0004569753,0.0006898204,0.0020046663,0.00008711239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00525043,0.00019165293,0.00028980098,0.00028720044,0.00027137456,0.00019507245,0.0006086261,0.0001304142,0.000033340046],"category_scores_gemma":[0.00003731,0.00018090603,0.00008412826,0.00035510433,0.0000744237,0.00077211164,0.00009415867,0.0002072753,0.0000032128662],"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":[0.00013839702,0.00018574762,0.006545103,0.00006111275,0.00034886366,3.9747604e-8,0.0006677894,0.03301198,0.002752439,0.034086358,0.00004682019,0.9221554],"study_design_scores_gemma":[0.0014023338,0.0002707788,0.043467756,0.000053886513,0.0002072772,0.0000067836386,0.000014244708,0.95147294,0.002073217,0.00020766507,0.00064898864,0.00017413961],"about_ca_topic_score_codex":0.000013393444,"about_ca_topic_score_gemma":0.000013684948,"teacher_disagreement_score":0.9219812,"about_ca_system_score_codex":0.00009026321,"about_ca_system_score_gemma":0.000110534726,"threshold_uncertainty_score":0.7377134},"labels":[],"label_agreement":null},{"id":"W1850074669","doi":"","title":"Dynamic allocation of sensor nodes in wireless sensor networks hosting multiple applications","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Computer network; Mobile wireless sensor network; Distributed computing; Popularity; State (computer science); Wireless; Wireless network; Telecommunications","score_opus":0.017079894667509258,"score_gpt":0.2618547413342193,"score_spread":0.24477484666671007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1850074669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65024054,0.00017379482,0.34718385,0.00044692392,0.00036310838,0.00086060306,0.00000281187,0.000055241966,0.00067313696],"genre_scores_gemma":[0.9851088,0.00048366695,0.0138178915,0.00004410937,0.00006402107,0.00036283658,0.00007527252,0.000016178317,0.000027244132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724156,0.0003883287,0.0009736059,0.00037879497,0.0008124927,0.00020525017],"domain_scores_gemma":[0.99649894,0.0005502566,0.000714299,0.00081082986,0.0013691,0.000056596684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013327602,0.00019914513,0.00029862332,0.0003263633,0.00010798061,0.000119710814,0.00097305974,0.00011838519,0.0000058414576],"category_scores_gemma":[0.000023712068,0.00020156908,0.000054432905,0.00045451013,0.00008633131,0.0005894676,0.00021776385,0.00019885943,0.000010300108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001016674,0.00016735861,0.009689475,0.000032848744,0.000032940425,5.9278968e-8,0.00023529807,0.9219061,0.0019788705,0.0026563713,0.000009698105,0.06328078],"study_design_scores_gemma":[0.0007301531,0.00006308957,0.056574922,0.00025932837,0.000009080441,0.000008617145,0.000047168694,0.9411959,0.00083182176,0.000013257809,0.00010027964,0.00016640562],"about_ca_topic_score_codex":0.00015142262,"about_ca_topic_score_gemma":0.000014008597,"teacher_disagreement_score":0.33486825,"about_ca_system_score_codex":0.00017690107,"about_ca_system_score_gemma":0.000049562077,"threshold_uncertainty_score":0.8219749},"labels":[],"label_agreement":null},{"id":"W1942017954","doi":"","title":"Protecting a MPLS multicast session tree with bounded switchover time","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Eion (Canada); Carleton University","funders":"","keywords":"Switchover; Computer science; Computer network; Path protection; Multicast; Multiprotocol Label Switching; Backup; Distributed computing; Failover; Quality of service; Operating system","score_opus":0.020118578843409892,"score_gpt":0.2724059089251472,"score_spread":0.2522873300817373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942017954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90323704,0.000044637436,0.09022758,0.00092865643,0.0009112361,0.0007968884,0.0000030181336,0.00014057939,0.0037103747],"genre_scores_gemma":[0.9815686,0.00002724762,0.017877406,0.000085063104,0.00020574644,0.00013322255,0.000023829909,0.000014287422,0.000064604945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777484,0.00023499753,0.00048768971,0.0003418773,0.0009909654,0.0001696363],"domain_scores_gemma":[0.9975063,0.00030613478,0.00042938563,0.0007745911,0.000913826,0.00006975538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019167978,0.0001845721,0.00021519861,0.0001624305,0.0002537006,0.00028530182,0.0008941208,0.000094138646,0.000020631485],"category_scores_gemma":[0.000037210895,0.00014788218,0.00004152666,0.00023605172,0.00006155741,0.00072124496,0.00021378585,0.00034921555,0.000030293924],"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":[0.00039461447,0.0009962167,0.024607934,0.00013143168,0.00040458687,0.000001762613,0.003683828,0.09616874,0.020223903,0.022101032,0.00065765454,0.8306283],"study_design_scores_gemma":[0.0012341422,0.00024489476,0.022116674,0.00019959216,0.000014766264,0.00005456594,0.000010222081,0.9722225,0.0014320206,0.00006324002,0.002224637,0.00018272203],"about_ca_topic_score_codex":0.000030420357,"about_ca_topic_score_gemma":0.000009656505,"teacher_disagreement_score":0.8760538,"about_ca_system_score_codex":0.000069209265,"about_ca_system_score_gemma":0.000088711095,"threshold_uncertainty_score":0.60304606},"labels":[],"label_agreement":null},{"id":"W1954502265","doi":"","title":"Performance of multiuser MIMO communication system using chirp modulation","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"MIMO; Chirp; Fading; Multipath propagation; Rayleigh fading; Electronic engineering; Computer science; 3G MIMO; Channel (broadcasting); Telecommunications; Engineering; Physics; Optics","score_opus":0.02624991879265168,"score_gpt":0.27398809927679874,"score_spread":0.24773818048414706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1954502265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838323,0.00034887844,0.010811247,0.000059537142,0.0003320548,0.0009514724,0.000009817255,0.00021494382,0.0034397554],"genre_scores_gemma":[0.9875656,0.00118767,0.010779945,0.000009884995,0.00005307517,0.0002484093,0.00010839081,0.00003631225,0.0000107546575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997608,0.00028104003,0.0010295564,0.00018935025,0.0007425355,0.00014951282],"domain_scores_gemma":[0.9966921,0.00016044131,0.00054736726,0.0011189627,0.0014304654,0.0000506317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010678697,0.00022327769,0.00032772266,0.00029626995,0.00013971083,0.00005836047,0.0007949863,0.00012299427,0.00001922766],"category_scores_gemma":[0.000012707232,0.00023169514,0.000056642508,0.00022925099,0.000106279935,0.0009170042,0.00015458297,0.00019996124,0.000013317675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019698717,0.0000731096,0.00545791,0.00023132235,0.000091196074,1.1990004e-8,0.00040233423,0.9364524,0.010651675,0.0011064028,0.000045616973,0.045468345],"study_design_scores_gemma":[0.00055497646,0.00007697588,0.036195252,0.00060388667,0.000025045776,0.0000091206575,0.000083305335,0.95109516,0.011003468,0.000012520568,0.00015214608,0.00018816473],"about_ca_topic_score_codex":0.00008867907,"about_ca_topic_score_gemma":0.0000017696734,"teacher_disagreement_score":0.04528018,"about_ca_system_score_codex":0.00031752654,"about_ca_system_score_gemma":0.000029489087,"threshold_uncertainty_score":0.9448254},"labels":[],"label_agreement":null},{"id":"W1971790727","doi":"","title":"UML model-driven detection of performance bottlenecks in Concurrent Real-Time Software","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Unified Modeling Language; Computer science; Applications of UML; UML tool; Sequence diagram; Systems Modeling Language; Activity diagram; Control flow; Software; Real-time computing; Queueing theory; Construct (python library); Distributed computing; Software engineering; Programming language","score_opus":0.01952822006480753,"score_gpt":0.28082900446555703,"score_spread":0.2613007844007495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971790727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94583094,0.000045492892,0.051006082,0.00012817598,0.0013225673,0.00058675744,0.000007811554,0.00007665006,0.0009955412],"genre_scores_gemma":[0.99514633,0.00042798737,0.004132926,0.000015003712,0.0000907507,0.00012336997,0.000028851548,0.000012122272,0.000022670949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972779,0.00022667205,0.0010067022,0.00037814418,0.0009219888,0.00018858074],"domain_scores_gemma":[0.9970363,0.000187514,0.00062461046,0.00090776884,0.001181343,0.000062502804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023814884,0.00020843837,0.0003529566,0.00032802238,0.00011065507,0.00006956449,0.0010843651,0.00015523314,0.000008663109],"category_scores_gemma":[0.00004059536,0.0001922323,0.00007150875,0.000307291,0.00010602818,0.00088696036,0.0002405915,0.00030021073,0.000016169488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008460356,0.00045594716,0.043254383,0.00028656409,0.0000789361,1.7869687e-7,0.0016387273,0.5093579,0.026687922,0.002660544,0.000029998228,0.41546428],"study_design_scores_gemma":[0.00094316754,0.00021167933,0.057291497,0.00023001998,0.0000109550365,0.000012970604,0.000007768223,0.93309826,0.007831847,0.000026253008,0.00016386111,0.00017170409],"about_ca_topic_score_codex":0.00006230959,"about_ca_topic_score_gemma":0.0000161266,"teacher_disagreement_score":0.4237404,"about_ca_system_score_codex":0.00014357435,"about_ca_system_score_gemma":0.00014583085,"threshold_uncertainty_score":0.78390056},"labels":[],"label_agreement":null},{"id":"W2098693928","doi":"","title":"UML-based performance modeling of distributed software systems","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Computer science; Unified Modeling Language; UML tool; Software system; Software engineering; Applications of UML; Software; Software performance testing; Model-driven architecture; Distributed computing; Software construction; Programming language","score_opus":0.026483758336992135,"score_gpt":0.2810705212158295,"score_spread":0.25458676287883736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098693928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7367881,0.00012616799,0.25939533,0.00018876125,0.0023536186,0.00058908586,0.000021678376,0.00010536762,0.00043189572],"genre_scores_gemma":[0.9943015,0.000121035686,0.0051054605,0.00002813789,0.00016212823,0.00014770005,0.000108129876,0.00001531125,0.00001059378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645275,0.00027753392,0.0011731257,0.0004157586,0.0014590691,0.0002217632],"domain_scores_gemma":[0.9952276,0.00025093177,0.00073161797,0.001342319,0.0023589437,0.00008860153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003264208,0.0002530508,0.00041481995,0.00027856167,0.00019843048,0.00015064202,0.0015166042,0.0001728272,0.000008136918],"category_scores_gemma":[0.000067821304,0.0002239512,0.0000952816,0.00035298307,0.00010943317,0.00084450684,0.00022708821,0.00032615798,0.000012348782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050154085,0.00020960966,0.025707617,0.00027716235,0.00006935367,9.579998e-8,0.0002833879,0.94648194,0.00050912844,0.0020322518,0.000043765518,0.024335535],"study_design_scores_gemma":[0.0010179427,0.00022138082,0.016211677,0.00035628912,0.000022057067,0.000018432222,0.000016049438,0.9802248,0.0012166741,0.000015441792,0.000463865,0.00021542043],"about_ca_topic_score_codex":0.00007995801,"about_ca_topic_score_gemma":0.0000029725325,"teacher_disagreement_score":0.2575134,"about_ca_system_score_codex":0.00011469477,"about_ca_system_score_gemma":0.00021501306,"threshold_uncertainty_score":0.9132465},"labels":[],"label_agreement":null},{"id":"W2100841561","doi":"","title":"User-managed QoS: Model and validation","year":2008,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Quality of service; Scalability; Architecture; Telephony; Computer network; Service (business); Quality (philosophy); Simple (philosophy); Distributed computing; Control (management); Database; Artificial intelligence","score_opus":0.03407377631545057,"score_gpt":0.2706748139392645,"score_spread":0.23660103762381396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100841561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7700646,0.00026971943,0.22444132,0.0012494845,0.00071628345,0.00044436954,0.0000030707038,0.00009568016,0.0027154658],"genre_scores_gemma":[0.9939357,0.00095431285,0.004575649,0.00013931183,0.00014252699,0.000082092025,0.00002527661,0.000008177583,0.00013694966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980935,0.00024107588,0.00047692104,0.00029192204,0.00077525305,0.00012135943],"domain_scores_gemma":[0.9982772,0.0001522606,0.00029586293,0.00051740295,0.0006964308,0.000060870527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012238654,0.00014625564,0.00018904357,0.0001603799,0.00022588874,0.00011057593,0.00062570727,0.00006509268,0.0000040806663],"category_scores_gemma":[0.000014367941,0.00014142781,0.000034965276,0.00014646398,0.00007226046,0.00074577646,0.00016767977,0.00010928775,0.000007965491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042118594,0.000138138,0.0041611055,0.000023850953,0.00009571246,3.5962654e-7,0.0010434804,0.7688563,0.00022742563,0.04440659,0.00080998545,0.18019496],"study_design_scores_gemma":[0.0009559778,0.00009739779,0.011646045,0.00006294074,0.000014709386,0.000036268448,0.000009587763,0.9855325,0.00017319105,0.00006394851,0.0012713544,0.00013605975],"about_ca_topic_score_codex":0.0000100408015,"about_ca_topic_score_gemma":0.000001530858,"teacher_disagreement_score":0.2238711,"about_ca_system_score_codex":0.00006599601,"about_ca_system_score_gemma":0.00006680366,"threshold_uncertainty_score":0.5767259},"labels":[],"label_agreement":null},{"id":"W2102382811","doi":"","title":"Burst loss reduction schemes in optical burst switching networks","year":2008,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Retransmission; Optical burst switching; Burst switching; Computer network; Computer science; Block (permutation group theory); Reduction (mathematics); Physics; Optics; Wavelength-division multiplexing; Optical performance monitoring; Network packet; Transmission delay","score_opus":0.023960113488856953,"score_gpt":0.2674999696265306,"score_spread":0.24353985613767365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102382811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363229,0.0005734806,0.059838664,0.00023877416,0.00084133947,0.0003341861,0.0000015721382,0.00017620923,0.0016728634],"genre_scores_gemma":[0.9920747,0.0022798,0.0052961856,0.000010392873,0.00019021383,0.0000857891,0.000035656925,0.00001905075,0.000008169414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985098,0.00006829662,0.00055842305,0.00018968608,0.0005061868,0.00016760034],"domain_scores_gemma":[0.99907273,0.00011547646,0.0001179679,0.00036584013,0.00029139256,0.000036601494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006572836,0.00015957747,0.00021532168,0.00019157403,0.00009010474,0.000032463682,0.00036192767,0.00012187869,0.0000052404334],"category_scores_gemma":[0.000019748084,0.00016262577,0.000033139528,0.0002182646,0.00009724226,0.00038848133,0.00008481339,0.00030187028,0.000006672397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022512164,0.00004691774,0.0028538122,0.000017441702,0.000036073165,4.0979833e-7,0.00011348435,0.9659943,0.00022452329,0.002239905,0.00002961485,0.028421009],"study_design_scores_gemma":[0.0005747009,0.00006770846,0.018741192,0.00018480454,0.000009694856,0.00006400096,0.00003210876,0.9790866,0.0004363744,0.00004865363,0.00060249114,0.00015167521],"about_ca_topic_score_codex":0.0000058882742,"about_ca_topic_score_gemma":0.0000012299306,"teacher_disagreement_score":0.05575183,"about_ca_system_score_codex":0.00022165476,"about_ca_system_score_gemma":0.000016844853,"threshold_uncertainty_score":0.66316867},"labels":[],"label_agreement":null},{"id":"W2120892741","doi":"","title":"Performance of quadratic and exponential multiuser chirp spread spectrum communication systems","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Chirp; Chirp spread spectrum; Additive white Gaussian noise; Rayleigh fading; Bit error rate; Spread spectrum; Fading; Electronic engineering; Algorithm; Process gain; Direct-sequence spread spectrum; Computer science; Mathematics; Telecommunications; White noise; Physics; Channel (broadcasting); Decoding methods; Engineering; Optics","score_opus":0.02904833170043148,"score_gpt":0.28672559407623155,"score_spread":0.2576772623758001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120892741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98494035,0.0010071303,0.008577163,0.0013862757,0.0005215096,0.0012971691,0.0000049983064,0.00007051975,0.0021948898],"genre_scores_gemma":[0.9924116,0.0032768715,0.0036853892,0.000034151497,0.000082751096,0.0003638173,0.00005909441,0.000019232415,0.00006708582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99590665,0.0009537326,0.0011379631,0.00037604183,0.0013856633,0.00023993873],"domain_scores_gemma":[0.99515295,0.0005103977,0.0008465798,0.0019027694,0.0014822397,0.00010503337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022521752,0.00024802514,0.0004000459,0.00037993203,0.0002567962,0.00034899937,0.002171543,0.00012428213,0.000021102967],"category_scores_gemma":[0.000033454595,0.00023619209,0.000056042267,0.00035428177,0.00021830764,0.0015427694,0.00082736625,0.00029984408,0.000028468843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021474918,0.0013481869,0.0553265,0.00063343445,0.0007135239,3.0066425e-7,0.0060301283,0.605064,0.007029759,0.068727724,0.0012420674,0.25366962],"study_design_scores_gemma":[0.0009218124,0.00023353995,0.09097582,0.00040705677,0.000015603662,0.000018997545,0.000058540718,0.9057819,0.00095580536,0.00003242159,0.00040748378,0.00019096707],"about_ca_topic_score_codex":0.0003828066,"about_ca_topic_score_gemma":0.0000061812802,"teacher_disagreement_score":0.30071795,"about_ca_system_score_codex":0.00013967394,"about_ca_system_score_gemma":0.00009328096,"threshold_uncertainty_score":0.9631634},"labels":[],"label_agreement":null},{"id":"W2126873652","doi":"","title":"An empirical evaluation of short-period prediction performance","year":2009,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Autoregressive integrated moving average; Computer science; Network packet; Granularity; Throughput; Performance prediction; Mean squared prediction error; Byte; Variance (accounting); Mean squared error; Autoregressive model; Time series; Data mining; Algorithm; Statistics; Machine learning; Simulation; Mathematics","score_opus":0.04073134206951005,"score_gpt":0.32311414619898166,"score_spread":0.2823828041294716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126873652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95398575,0.00025537173,0.04036621,0.0009491888,0.00094398163,0.00072040065,0.0000069493503,0.00009273624,0.0026794223],"genre_scores_gemma":[0.99754494,0.00023234815,0.0016887361,0.00010791251,0.00023446791,0.00009234368,0.000081076316,0.000008061119,0.00001008539],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957948,0.0006785835,0.0008816182,0.00038441533,0.0020939435,0.00016667561],"domain_scores_gemma":[0.99595046,0.00009250524,0.00041432198,0.0008932503,0.00256539,0.000084058214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046616527,0.00019683906,0.00028163657,0.00024702703,0.00015558823,0.00012774572,0.0010176391,0.00011260697,0.000015682095],"category_scores_gemma":[0.000022275173,0.0001876892,0.000062778774,0.0002901271,0.00006266052,0.0011767866,0.000066134584,0.0001704216,0.000006210314],"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":[0.00004894334,0.00025697387,0.005143985,0.000011076387,0.000044340137,4.582342e-8,0.00056422356,0.35018188,0.0004834847,0.0019445701,0.000080119455,0.64124036],"study_design_scores_gemma":[0.0010575909,0.0007231679,0.1355173,0.0001243957,0.000051924995,0.000018395365,0.000023358249,0.86138326,0.000597673,0.00005040906,0.00031657415,0.00013597285],"about_ca_topic_score_codex":0.0000043394284,"about_ca_topic_score_gemma":0.000001181309,"teacher_disagreement_score":0.6411044,"about_ca_system_score_codex":0.00017767296,"about_ca_system_score_gemma":0.000182255,"threshold_uncertainty_score":0.76537436},"labels":[],"label_agreement":null},{"id":"W2139555208","doi":"","title":"Power management in multi-core processors using automatic dynamic pipeline stage unification","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pipeline (software); Computer science; Frequency scaling; Unification; Dynamic demand; Transistor; Voltage; Energy consumption; Embedded system; Performance metric; Dynamic voltage scaling; Power management; Parallel computing; Power (physics); Electrical engineering; Engineering; Operating system","score_opus":0.046898856150305306,"score_gpt":0.3328204903415782,"score_spread":0.28592163419127287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139555208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48685664,0.000095718344,0.5100613,0.0003149086,0.00028651665,0.000919739,0.0000017693252,0.00012807325,0.0013353124],"genre_scores_gemma":[0.9162252,0.00018898975,0.08320225,0.00006252233,0.000012325951,0.00015892,0.000031310097,0.000011221709,0.00010728601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977705,0.00023143992,0.0007771188,0.0003356247,0.0007248365,0.00016048856],"domain_scores_gemma":[0.99788034,0.00007637501,0.0005006052,0.0006565083,0.0008404077,0.000045764427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014667462,0.000177593,0.00020199365,0.0004369832,0.00010573581,0.00018799763,0.0009066865,0.00007175042,0.000017699747],"category_scores_gemma":[0.000014400031,0.00017372763,0.000034958328,0.0003699328,0.000041291845,0.00078875007,0.0002297925,0.0001336037,0.000016241562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009962214,0.00041813738,0.0032248038,0.00011365073,0.00006176555,3.1990172e-7,0.0011937215,0.91281766,0.000507488,0.006262948,0.00007415643,0.07531541],"study_design_scores_gemma":[0.0007898139,0.00005691786,0.037897326,0.00022296532,0.0000068405775,0.0000063622538,0.00004475169,0.96042967,0.00019236126,0.000061057,0.00012957129,0.00016233575],"about_ca_topic_score_codex":0.00004988794,"about_ca_topic_score_gemma":0.0000021745705,"teacher_disagreement_score":0.42936853,"about_ca_system_score_codex":0.0002422218,"about_ca_system_score_gemma":0.000049194452,"threshold_uncertainty_score":0.7084407},"labels":[],"label_agreement":null},{"id":"W2153868468","doi":"","title":"New speech traffic background simulation models for realistic VoIP network planning","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cistel Technology (Canada); Carleton University","funders":"","keywords":"Computer science; Voice over IP; Traffic generation model; Jitter; Network packet; Network traffic simulation; Network planning and design; Codec; Voice activity detection; Computer network; Network traffic control; Real-time computing; Speech processing; The Internet; Telecommunications; Speech recognition","score_opus":0.08913711565501556,"score_gpt":0.3637983241202977,"score_spread":0.2746612084652822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153868468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20438984,0.00018045968,0.7884261,0.0009798532,0.0015058756,0.0010697877,0.0000061748406,0.000117425516,0.0033245117],"genre_scores_gemma":[0.9452334,0.00011760565,0.053620886,0.000060244198,0.0006058654,0.00015051369,0.00010365114,0.00002141219,0.00008642288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967387,0.00034990397,0.00080758595,0.0004058714,0.0014264942,0.00027146933],"domain_scores_gemma":[0.9947743,0.0011619502,0.0005212526,0.0013364463,0.0020815888,0.00012448778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004147025,0.00021485894,0.00027745726,0.00022570437,0.00031299115,0.00039886878,0.0020332038,0.00014975313,0.000012693812],"category_scores_gemma":[0.00005436132,0.00021809434,0.00007611952,0.000337859,0.000061138024,0.0010650728,0.00034934352,0.0003677351,0.000008654798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004225383,0.00005157512,0.00019656647,0.00001817967,0.000044806307,4.8896272e-8,0.00029531543,0.85005987,0.00010470977,0.02260076,0.00046717282,0.12611876],"study_design_scores_gemma":[0.0010741393,0.0001502538,0.004092772,0.00014799235,0.000016870023,0.0000126363,0.000013696211,0.99010324,0.00008405685,0.0007391518,0.003361538,0.00020366142],"about_ca_topic_score_codex":0.000046432535,"about_ca_topic_score_gemma":0.00001796514,"teacher_disagreement_score":0.74084353,"about_ca_system_score_codex":0.00015392268,"about_ca_system_score_gemma":0.00026382765,"threshold_uncertainty_score":0.88936293},"labels":[],"label_agreement":null},{"id":"W2164619256","doi":"","title":"Hardware bottleneck evaluation and analysis of a software PC-based router","year":2008,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Gigabit Ethernet; Router; Computer network; Forwarding plane; Network packet; Ethernet; Bottleneck; Operating system; Embedded system; Gigabit; Telecommunications","score_opus":0.042174500412338216,"score_gpt":0.2913262263012209,"score_spread":0.24915172588888268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164619256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7639624,0.000652388,0.23341975,0.00042392616,0.00049649354,0.00053507654,0.00001982136,0.00006550618,0.00042467666],"genre_scores_gemma":[0.98942995,0.00035835206,0.009729033,0.00011812683,0.00006371737,0.00010813,0.00016751658,0.000009925164,0.000015231358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968795,0.00041151245,0.00073397346,0.00036789052,0.0014670732,0.00014002243],"domain_scores_gemma":[0.9962767,0.00037887713,0.00059136626,0.00078780943,0.001902141,0.00006315864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021923757,0.0001841635,0.00037687662,0.00052633916,0.00016601059,0.000080189064,0.00070349063,0.00009270667,0.000020341482],"category_scores_gemma":[0.000056131616,0.0001733385,0.00010373492,0.0006274081,0.000094719726,0.00051479915,0.00017842595,0.00011708218,0.0000032529254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007736162,0.0002882544,0.13956077,0.000063598396,0.0008275883,3.7109038e-7,0.0014438411,0.72239286,0.00012374598,0.0023258768,0.0002857836,0.13260992],"study_design_scores_gemma":[0.00086953875,0.00013999437,0.2257903,0.000095484174,0.00016804798,0.000008179932,0.0000066272178,0.772176,0.00026454194,0.000025534393,0.00032943767,0.00012630029],"about_ca_topic_score_codex":0.000047536043,"about_ca_topic_score_gemma":0.000005431663,"teacher_disagreement_score":0.2254676,"about_ca_system_score_codex":0.00011648391,"about_ca_system_score_gemma":0.00013899631,"threshold_uncertainty_score":0.70685387},"labels":[],"label_agreement":null},{"id":"W2169186802","doi":"","title":"Efficient multiple-keyword search in DHT-based decentralized systems","year":2008,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Distributed hash table; Hash table; File sharing; Peer-to-peer; Distributed File System; Keyword search; Hash function; Perspective (graphical); Information retrieval; Table (database); Journaling file system; Distributed computing; Database; World Wide Web; Operating system; Computer file; Artificial intelligence; Computer security","score_opus":0.050900097277354256,"score_gpt":0.3015814053070616,"score_spread":0.25068130802970734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169186802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87093353,0.00030996473,0.124330536,0.0014609749,0.0010250666,0.0009971377,0.0000058996875,0.00016050461,0.0007763853],"genre_scores_gemma":[0.9916841,0.00015216463,0.007719595,0.00009174367,0.000053529522,0.00023278783,0.000028093053,0.000013040047,0.00002499349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964108,0.00048688587,0.00082148926,0.0004381371,0.0015548116,0.00028787172],"domain_scores_gemma":[0.99718446,0.00040664748,0.00028397547,0.0010258682,0.001012475,0.0000865552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024111753,0.00021423363,0.00032133795,0.0005990247,0.00016276039,0.00013784728,0.0017581476,0.00011005437,0.0000034091975],"category_scores_gemma":[0.000058781185,0.00020821411,0.000053302996,0.0006411666,0.0000890357,0.00022855615,0.00036612904,0.00022894774,0.000030294304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004903471,0.00019060964,0.015812567,0.000024292043,0.000025913847,9.811592e-7,0.0005993779,0.96964484,0.00024479203,0.0025619557,0.00014079496,0.010704862],"study_design_scores_gemma":[0.0015366484,0.00015719148,0.054053865,0.0002526513,0.0000047499534,0.000026710453,0.00002745949,0.94190663,0.00076791056,0.000004879486,0.0010717658,0.00018955897],"about_ca_topic_score_codex":0.0001685899,"about_ca_topic_score_gemma":0.000009622159,"teacher_disagreement_score":0.12075052,"about_ca_system_score_codex":0.00038383465,"about_ca_system_score_gemma":0.00015498926,"threshold_uncertainty_score":0.8490725},"labels":[],"label_agreement":null},{"id":"W3089771850","doi":"","title":"RSSI-based Indoor Localization with LTE-A Ultra-Dense Networks","year":2020,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Signal strength; Real-time computing; Mobile telephony; User equipment; Computer network; Mobile radio; Base station; Wireless sensor network","score_opus":0.020020531197588915,"score_gpt":0.23676197302346505,"score_spread":0.21674144182587612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089771850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28038186,0.00032079508,0.7124863,0.0010465897,0.0006121194,0.00077308813,0.000014477579,0.0005000339,0.0038646879],"genre_scores_gemma":[0.9984898,0.00028100942,0.0005475026,0.00028454207,0.00013020584,0.00008167554,0.0001539567,0.00002665963,0.0000046526175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846333,0.000110979105,0.00047454596,0.0001911148,0.0006292724,0.00013072861],"domain_scores_gemma":[0.99875134,0.00008988028,0.00017687446,0.00030535812,0.0006191432,0.000057376437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004475812,0.00018128705,0.00020774653,0.00013114026,0.000096870666,0.00008610145,0.00036708202,0.000107343665,0.000021948636],"category_scores_gemma":[0.000017825194,0.00016245946,0.00003297911,0.00028416983,0.000072499904,0.0002493031,0.000028081142,0.00016551658,0.000010453536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005835488,0.000028623725,0.0038942685,0.000053848074,0.0000555941,1.5413256e-7,0.00022736721,0.98335654,0.0001612968,0.00057049724,0.00027403096,0.011319429],"study_design_scores_gemma":[0.0011137098,0.00021796867,0.002583485,0.0001389276,0.00002881862,0.0000047747126,0.000048197435,0.98770124,0.0056885295,0.000004525088,0.0022925646,0.00017727565],"about_ca_topic_score_codex":0.0000065340414,"about_ca_topic_score_gemma":0.000002009624,"teacher_disagreement_score":0.71810794,"about_ca_system_score_codex":0.00009712756,"about_ca_system_score_gemma":0.00003449824,"threshold_uncertainty_score":0.6624905},"labels":[],"label_agreement":null}]}