{"meta":{"query_hash":"bdf6c5795569","filters":{"venue":"Communications and Networking Symposium"},"cohort_total":18,"direct_labels_cover":0,"predictions_cover":18,"exported":18,"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/bdf6c5795569","api":"https://metacan.xera.ac/api/v1/cohort?venue=Communications+and+Networking+Symposium"},"results":[{"id":"W109495677","doi":"10.5555/2048416.2048436","title":"Resource management on clouds and grids: challenges and answers","year":2011,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Distributed and Parallel Computing Systems","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":"Computer science; Resource management (computing); Cloud computing; Human resource management system; Resource Management System; Resource allocation; Resource (disambiguation); Knowledge management; Distributed computing; Human resource management","score_opus":0.062238470245972496,"score_gpt":0.2385648624810584,"score_spread":0.1763263922350859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W109495677","genre_codex":"commentary","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":[0.005303514,0.30066696,0.048225105,0.5758987,0.011755156,0.000092706345,0.00028815903,0.000567114,0.057202518],"genre_scores_gemma":[0.13544244,0.67603624,0.06122002,0.055011477,0.03640063,0.0003455821,0.0005755756,0.00036319144,0.034604847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99686617,0.0011191196,0.00013950764,0.0003005719,0.001202494,0.0003721382],"domain_scores_gemma":[0.9949189,0.0030324967,0.0002832106,0.00036427545,0.0009120467,0.00048907177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004896989,0.0009947498,0.0015080574,0.0010567267,0.0025104482,0.009117332,0.0020473269,0.007711579,0.00918725],"category_scores_gemma":[0.008879383,0.0007076167,0.0006230278,0.002417549,0.0057641612,0.020359917,0.0056337714,0.00938088,0.0028150522],"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":[0.0000751846,0.00012707923,0.00063667056,0.0014371023,0.00005329786,0.00022849112,0.00078589417,0.0084796,0.000737977,0.5884348,0.17013006,0.22887383],"study_design_scores_gemma":[0.00001977712,0.00004854685,0.00035986496,0.0012468921,0.000012734276,0.00014307111,0.0025443027,0.008809654,0.00024503263,0.61939555,0.36710307,0.00007155913],"about_ca_topic_score_codex":0.0037972725,"about_ca_topic_score_gemma":0.0034747384,"teacher_disagreement_score":0.00918725,"about_ca_system_score_codex":0.0025189526,"about_ca_system_score_gemma":0.004480285,"threshold_uncertainty_score":0.03073442},"labels":[],"label_agreement":null},{"id":"W118806481","doi":"10.5555/2499986.2499999","title":"DEVS-based modeling of coordinated multipoint techniques for LTE-advanced","year":2013,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Carleton University","funders":"","keywords":"DEVS; Computer science; Cellular network; Scheduling (production processes); Computer network; Quality of service; Distributed computing; Mobile telephony; Mobile edge computing; Base station; Computer architecture; Mobile radio; Modeling and simulation; Server; Engineering; Simulation","score_opus":0.018102901778491186,"score_gpt":0.24537767566698238,"score_spread":0.22727477388849118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118806481","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":[0.01913495,0.00027187946,0.9669676,0.00024440198,0.000059806633,0.00006910182,0.00022266257,0.00015789231,0.012871744],"genre_scores_gemma":[0.86874306,0.0006113446,0.11780606,0.00012085122,0.00006831077,0.00035425634,0.00046214354,0.00012613437,0.011707769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996517,0.0001289638,0.000017976034,0.000039633607,0.00011680669,0.00004495871],"domain_scores_gemma":[0.9994659,0.00027972015,0.000064568834,0.00003358705,0.00013179592,0.000024446963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069158635,0.00047639527,0.0004691037,0.00035411972,0.00035276986,0.0009158969,0.0009900371,0.0008215389,0.0025319494],"category_scores_gemma":[0.0012158105,0.00031276906,0.0007671473,0.0003633446,0.000513526,0.0006554561,0.000698083,0.000893135,0.00039473947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013659297,0.000010852506,0.00024627463,0.000017774268,0.000007480516,0.000051991974,0.00003606778,0.9709325,0.00082943204,0.025489163,0.00018478605,0.002179943],"study_design_scores_gemma":[0.000002335733,0.000004709948,0.000026946918,0.000001962294,0.0000014864517,0.0000063527414,0.00000493283,0.9975647,0.00011648382,0.0017600195,0.0005085461,0.0000016198046],"about_ca_topic_score_codex":0.008932566,"about_ca_topic_score_gemma":0.005399236,"teacher_disagreement_score":0.008932566,"about_ca_system_score_codex":0.0008873821,"about_ca_system_score_gemma":0.0009055277,"threshold_uncertainty_score":0.017761111},"labels":[],"label_agreement":null},{"id":"W1752423914","doi":"10.5555/2048416.2048426","title":"An application of high performance computing to improve linear acoustic simulation","year":2011,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computation; Computer science; Field (mathematics); Reduction (mathematics); Workload; Planar; Computational science; Baffle; Computational complexity theory; Acoustics; Parallel computing; Algorithm; Computer engineering; Mathematics; Computer graphics (images); Mechanical engineering; Engineering; Physics; Geometry","score_opus":0.018555204620923527,"score_gpt":0.31625941240362654,"score_spread":0.297704207782703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1752423914","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":[0.055348404,0.00052747293,0.9180253,0.0011071105,0.00026267834,0.00009356549,0.000108520275,0.002371697,0.022155195],"genre_scores_gemma":[0.5580979,0.0005125977,0.4348412,0.0002099883,0.000106156396,0.00017804964,0.00018366791,0.00039949117,0.005470916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994295,0.00020290924,0.00002450548,0.000060876137,0.00021982592,0.00006226168],"domain_scores_gemma":[0.99848515,0.0008048702,0.00005341886,0.00029313116,0.0003073958,0.00005597634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006712206,0.000729439,0.0004915998,0.0003754225,0.00075258716,0.0013185554,0.0010413269,0.0007938918,0.0038326057],"category_scores_gemma":[0.004584288,0.0003244708,0.0005261048,0.0008076879,0.0007017155,0.0011349336,0.0012607697,0.0012212953,0.0006636003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013946091,0.00010311043,0.0013955843,0.00009723794,0.00003065467,0.00014699023,0.00011494695,0.8739953,0.0071362187,0.05065774,0.0024354574,0.06374723],"study_design_scores_gemma":[0.000004706307,0.000009782768,0.000040797044,0.000002541372,0.0000020719851,0.000007633992,0.0000046712858,0.99335444,0.0010567667,0.004495613,0.0010184721,0.0000024923718],"about_ca_topic_score_codex":0.005217234,"about_ca_topic_score_gemma":0.003200131,"teacher_disagreement_score":0.005217234,"about_ca_system_score_codex":0.0006864746,"about_ca_system_score_gemma":0.0011011411,"threshold_uncertainty_score":0.012821376},"labels":[],"label_agreement":null},{"id":"W2744024646","doi":"10.5555/3107979.3107981","title":"DEVS-based modeling of cached and segmented video download algorithms in LTE-A cellular networks","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Caching and Content Delivery","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":"Carleton University","funders":"","keywords":"DEVS; Computer science; Cellular network; LTE Advanced; Cache; Computer network; Formalism (music); Cellular traffic; User equipment; Algorithm; Distributed computing; Telecommunications link; Real-time computing; Modeling and simulation; Base station; Simulation","score_opus":0.03477616311115949,"score_gpt":0.25850462905643484,"score_spread":0.22372846594527535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744024646","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":[0.16863564,0.0005882629,0.8128337,0.00040315674,0.00008442336,0.00011621094,0.00046487123,0.00038448744,0.016489225],"genre_scores_gemma":[0.96780974,0.00034226562,0.027876053,0.00005918183,0.000022698021,0.00013008615,0.00022784481,0.000046293368,0.0034858328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962485,0.00013139467,0.000025006422,0.000043365493,0.00010016611,0.00007510556],"domain_scores_gemma":[0.99904794,0.00054042944,0.00009182836,0.000049508875,0.00023553974,0.00003470489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077212346,0.0004392867,0.0006006529,0.00040394318,0.00044570846,0.0008873647,0.0010969626,0.00071627914,0.0012772767],"category_scores_gemma":[0.0019247431,0.0002634103,0.00071747263,0.0004264257,0.0006063548,0.0006591895,0.0005012445,0.0006000975,0.00018076316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000114001405,0.000008821688,0.0002966571,0.000009236588,0.0000043511054,0.00003146539,0.000019965288,0.98833907,0.00047684932,0.009634027,0.00009900728,0.0010690686],"study_design_scores_gemma":[0.0000012980107,0.000002391477,0.000019304747,6.334439e-7,8.952009e-7,0.0000025943868,0.0000022856857,0.999476,0.000060272738,0.00037692726,0.00005672239,7.1813923e-7],"about_ca_topic_score_codex":0.023081237,"about_ca_topic_score_gemma":0.00819781,"teacher_disagreement_score":0.023081237,"about_ca_system_score_codex":0.0016402933,"about_ca_system_score_gemma":0.0010524106,"threshold_uncertainty_score":0.04589379},"labels":[],"label_agreement":null},{"id":"W2747522389","doi":"10.5555/3107979.3107980","title":"Modeling and simulation of user mobility and handover in LTE and beyond mobile networks using DEVS formalism","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","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":"Handover; DEVS; Computer science; Mobility model; Computer network; Formalism (music); Cellular network; Mobility management; Mobile telephony; User equipment; Distributed computing; Mobile radio; Base station; Modeling and simulation; Simulation","score_opus":0.023853976491934978,"score_gpt":0.27856996755849245,"score_spread":0.25471599106655746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747522389","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":[0.094790444,0.00046186883,0.88487613,0.00042138607,0.00007854534,0.00012968252,0.0008292976,0.00058645714,0.017826132],"genre_scores_gemma":[0.86475235,0.00090303284,0.12637493,0.00013433097,0.000040947303,0.00032873306,0.0010884794,0.00012268509,0.0062545766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959975,0.00015054761,0.000030629853,0.000043986427,0.000114933995,0.000060064893],"domain_scores_gemma":[0.99947566,0.0002980572,0.000056972945,0.00006159881,0.00008583866,0.000021954515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007066416,0.00035943105,0.0004288635,0.0003564211,0.00035886024,0.0009264894,0.0008748544,0.0006552643,0.0011498661],"category_scores_gemma":[0.0012445386,0.00025640582,0.00073391414,0.00044107123,0.00053039123,0.00070630125,0.00060964446,0.00072993274,0.00017519896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020030264,0.000027290482,0.0008755867,0.000035170033,0.000015117343,0.000108570246,0.00008148762,0.93357456,0.002137139,0.059281018,0.00034184672,0.0035021615],"study_design_scores_gemma":[0.0000072863,0.000009723886,0.0001046295,0.0000065263166,0.000004690224,0.00001592528,0.000013258265,0.99223775,0.00058952183,0.005346348,0.0016605019,0.0000038260273],"about_ca_topic_score_codex":0.009997856,"about_ca_topic_score_gemma":0.005462333,"teacher_disagreement_score":0.009997856,"about_ca_system_score_codex":0.000925862,"about_ca_system_score_gemma":0.0012180094,"threshold_uncertainty_score":0.019879282},"labels":[],"label_agreement":null},{"id":"W2750254065","doi":"10.5555/3107979.3107985","title":"Formal modeling and simulation to analyze the dynamics of malware propagation in networks using cell-DEVS","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Energy Efficient Wireless Sensor Networks","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":"Carleton University","funders":"","keywords":"Malware; Computer science; DEVS; Computer network; Distributed computing; Wireless network; Wireless; Channel (broadcasting); Wireless sensor network; Theoretical computer science; Modeling and simulation; Computer security; Simulation; Telecommunications","score_opus":0.029482694443594637,"score_gpt":0.28106969058727505,"score_spread":0.2515869961436804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750254065","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":[0.02716356,0.000251835,0.9646421,0.0005429173,0.00009357658,0.00010513184,0.0002059927,0.0005953149,0.006399579],"genre_scores_gemma":[0.6573526,0.0010258646,0.33252996,0.0002953155,0.00013332193,0.00070303533,0.00048682306,0.00034648617,0.0071266326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994085,0.00020669923,0.000044280518,0.00005931692,0.00019441017,0.00008677488],"domain_scores_gemma":[0.996885,0.002066597,0.00027172978,0.0003610717,0.00030326255,0.000112228554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016706232,0.00069610425,0.0006904629,0.0010268883,0.00081461424,0.0012794506,0.0013492062,0.0010113409,0.0025398072],"category_scores_gemma":[0.0044268123,0.00046212494,0.0014277828,0.00063353404,0.0015279534,0.0019493725,0.0011445808,0.0015946468,0.00028346363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013614829,0.00003690831,0.0006525001,0.00004175592,0.000024697203,0.00007633378,0.00010680374,0.7882204,0.0013397124,0.20563594,0.00046049216,0.0033908708],"study_design_scores_gemma":[0.000005006173,0.0000061374476,0.00003823684,0.000005695662,0.000005093687,0.000011520497,0.000009489127,0.9798534,0.00042339126,0.018470008,0.0011684712,0.0000035981304],"about_ca_topic_score_codex":0.007935628,"about_ca_topic_score_gemma":0.0068450356,"teacher_disagreement_score":0.007935628,"about_ca_system_score_codex":0.0018479546,"about_ca_system_score_gemma":0.001551748,"threshold_uncertainty_score":0.0157789},"labels":[],"label_agreement":null},{"id":"W2765471337","doi":"10.5555/3107979.3107989","title":"Generating stochastic data to simulate a twitter user","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Data Management and Algorithms","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Recommender system; Collaborative filtering; Similarity (geometry); Weibull distribution; Information retrieval; Cluster analysis; tf–idf; Data mining; Term (time); Machine learning; Artificial intelligence; Mathematics; Statistics","score_opus":0.12875455410999564,"score_gpt":0.34185262015695855,"score_spread":0.2130980660469629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765471337","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":[0.90535337,0.00011597591,0.08472747,0.00068940077,0.0001518372,0.00045397747,0.0034226833,0.0004728792,0.004612311],"genre_scores_gemma":[0.9631393,0.00009179388,0.032151517,0.00011925298,0.000025539588,0.00047509628,0.0020949272,0.000035844645,0.001866809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991259,0.0003810414,0.00006607686,0.0001395713,0.00017657333,0.00011076803],"domain_scores_gemma":[0.9902388,0.007018991,0.00043748374,0.00075874105,0.0013049359,0.00024100198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019102758,0.0006224699,0.0005155464,0.00073230616,0.00055744156,0.000664479,0.0010974737,0.0014401156,0.0027897246],"category_scores_gemma":[0.009983594,0.00031262566,0.00073829415,0.000946759,0.0005715447,0.0007733587,0.0007653685,0.0013893188,0.0004213883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034159768,0.00033211606,0.020262767,0.000099248035,0.00007665301,0.00023998531,0.00032128315,0.9528858,0.0019533464,0.01457954,0.0019316686,0.006976043],"study_design_scores_gemma":[0.000028351618,0.00006819022,0.0012139846,0.0000063127463,0.000009961508,0.000018477134,0.00006107927,0.99557793,0.00074025325,0.0017123354,0.00055165583,0.0000115332905],"about_ca_topic_score_codex":0.016027704,"about_ca_topic_score_gemma":0.012416491,"teacher_disagreement_score":0.016027704,"about_ca_system_score_codex":0.0010565695,"about_ca_system_score_gemma":0.0007829805,"threshold_uncertainty_score":0.031868815},"labels":[],"label_agreement":null},{"id":"W2769778028","doi":"10.5555/3107979.3107984","title":"A comparative study on content-based paper-to-paper recommendation approaches in scientific literature","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Topic Modeling","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":"Computer science; Information retrieval; Set (abstract data type); tf–idf; Word embedding; Word (group theory); Representation (politics); Domain (mathematical analysis); Term (time); Embedding; Recommender system; Data mining; Artificial intelligence; Mathematics","score_opus":0.23222467380403888,"score_gpt":0.33810592431048786,"score_spread":0.10588125050644898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769778028","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":[0.3750516,0.13879693,0.40554765,0.0035818985,0.0014666572,0.0024603112,0.0051701376,0.0075429436,0.06038193],"genre_scores_gemma":[0.6037229,0.024938526,0.35190162,0.0005619627,0.00089621975,0.0006619215,0.0068818545,0.00045036618,0.009984681],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9860643,0.004449531,0.0013209305,0.001361326,0.006302086,0.00050178],"domain_scores_gemma":[0.95442885,0.028182702,0.0021847496,0.003854237,0.010304331,0.0010450921],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010021742,0.0012687402,0.0015106068,0.026024884,0.0011904355,0.0043287883,0.001803005,0.0021622179,0.0037375907],"category_scores_gemma":[0.04434249,0.0004475127,0.0023060322,0.022720361,0.0007394165,0.0058953627,0.0012054105,0.00089656975,0.0026700445],"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":[0.0010072362,0.0007403871,0.02936801,0.0032186327,0.0015146927,0.00013569274,0.00091193325,0.0054349587,0.006537749,0.005101184,0.007507993,0.9385217],"study_design_scores_gemma":[0.00076534797,0.0067845625,0.28405812,0.0031601542,0.0070233583,0.004444936,0.008108634,0.42609435,0.050616264,0.026637238,0.18115519,0.0011518922],"about_ca_topic_score_codex":0.00593867,"about_ca_topic_score_gemma":0.007486577,"teacher_disagreement_score":0.9956712,"about_ca_system_score_codex":0.0016989408,"about_ca_system_score_gemma":0.0019527123,"threshold_uncertainty_score":0.05300069},"labels":[],"label_agreement":null},{"id":"W2805125868","doi":"10.5555/3213200.3213203","title":"Analyzing the effect of LTE-A transmission parameters on video streaming quality of experience","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Image and Video Quality Assessment","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":"Carleton University","funders":"","keywords":"Computer science; Quality of experience; Cellular network; Computer network; Dynamic Adaptive Streaming over HTTP; Transmission (telecommunications); Base station; Wireless network; Video quality; Radio access network; Small cell; Wireless; Real Time Streaming Protocol; Video streaming; Fading; Quality of service; Multimedia; Telecommunications; The Internet; Channel (broadcasting); Mobile station; Metric (unit); Engineering","score_opus":0.04711819313804154,"score_gpt":0.3571858688402731,"score_spread":0.31006767570223154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805125868","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":[0.99441177,0.0002684558,0.0036948477,0.00008457929,0.0000150244405,0.000023928184,0.000224832,0.000049938055,0.0012266597],"genre_scores_gemma":[0.99912626,0.00007112845,0.00058545783,0.000012005456,0.000003391378,0.000005818496,0.000094898685,0.0000046797536,0.00009644977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992379,0.0002208606,0.00004176134,0.00008748582,0.00017095896,0.00024102638],"domain_scores_gemma":[0.9939021,0.00457339,0.00044618588,0.00021787586,0.0007180903,0.00014236961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011286562,0.0005981335,0.00036535203,0.0005749977,0.0003537671,0.0005988286,0.00047823047,0.000680494,0.0006090878],"category_scores_gemma":[0.005649999,0.00019963697,0.00048057816,0.00072755694,0.0004093385,0.000646111,0.000294603,0.0005977149,0.000091254995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007497891,0.0003997619,0.046069525,0.0001528315,0.00017184472,0.000609936,0.00013721695,0.9128843,0.02444861,0.000841771,0.00059342285,0.012941038],"study_design_scores_gemma":[0.000033828648,0.0008456111,0.047321357,0.000026214528,0.00016705267,0.0001962304,0.0002012386,0.93534154,0.015175385,0.00033355347,0.0003105602,0.00004738597],"about_ca_topic_score_codex":0.022250658,"about_ca_topic_score_gemma":0.012932003,"teacher_disagreement_score":0.022250658,"about_ca_system_score_codex":0.0009707263,"about_ca_system_score_gemma":0.00047911768,"threshold_uncertainty_score":0.044242263},"labels":[],"label_agreement":null},{"id":"W2805389444","doi":"10.5555/3213200.3213202","title":"Musical preferences prediction by classification algorithm","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Music and Audio Processing","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":"Random forest; Feature (linguistics); Artificial intelligence; Computer science; Measure (data warehouse); Variable (mathematics); Pattern recognition (psychology); Binary classification; Point (geometry); Machine learning; Statistics; Mathematics; Data mining; Support vector machine","score_opus":0.03813675926209846,"score_gpt":0.2681214798206515,"score_spread":0.229984720558553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805389444","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":[0.118745424,0.0009873599,0.86460423,0.0007675459,0.00035163137,0.00067145075,0.001251689,0.0043509537,0.008269772],"genre_scores_gemma":[0.534698,0.00042266413,0.4536935,0.00042036475,0.0002413457,0.00070532924,0.0033390475,0.00011285827,0.006366871],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987373,0.0002778901,0.00014196757,0.0004008328,0.00025856792,0.0001834602],"domain_scores_gemma":[0.99817204,0.00072961225,0.00017704252,0.00014619017,0.0006922655,0.00008281569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001628938,0.0010282618,0.0011084958,0.0023983596,0.00056871923,0.0013169164,0.0015840167,0.0015270493,0.0046190554],"category_scores_gemma":[0.0047834236,0.0002641978,0.0010890928,0.001630035,0.00035073725,0.0010566366,0.00058047025,0.0011700357,0.0026503317],"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":[0.0004375988,0.00066446565,0.026624117,0.00015489646,0.0001680957,0.00018599526,0.000121813835,0.116019145,0.004170151,0.0023050318,0.0105878515,0.8385608],"study_design_scores_gemma":[0.000031043608,0.000080781734,0.0039216294,0.000031012656,0.000032789052,0.00010627039,0.00007717309,0.9886248,0.002438426,0.0026150716,0.0020225947,0.00001848713],"about_ca_topic_score_codex":0.0033469668,"about_ca_topic_score_gemma":0.002229328,"teacher_disagreement_score":0.0046190554,"about_ca_system_score_codex":0.00059817085,"about_ca_system_score_gemma":0.00094699935,"threshold_uncertainty_score":0.015452325},"labels":[],"label_agreement":null},{"id":"W2805619843","doi":"10.5555/3213200.3213204","title":"A security-as-a-service solution for applications in cloud computing environment","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Cloud Data Security Solutions","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":"Royal Bank of Canada","funders":"","keywords":"Cloud computing; Cloud computing security; Computer science; Computer security; Cloud testing; Virtualization; Operating system","score_opus":0.02611941573410532,"score_gpt":0.27664380284400386,"score_spread":0.25052438710989855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805619843","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":[0.046642277,0.004286133,0.8428324,0.011433123,0.0014371137,0.0015845202,0.00032143225,0.009099998,0.082362995],"genre_scores_gemma":[0.49227285,0.0038129587,0.4555095,0.0024989124,0.0004991837,0.00055757957,0.00072939036,0.0004214708,0.04369809],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872595,0.00020755408,0.000088669985,0.0001414748,0.0006045219,0.00023176313],"domain_scores_gemma":[0.99920326,0.000053309737,0.00007292917,0.00014652623,0.0003653417,0.00015868184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009326573,0.00049269776,0.00042457427,0.0007919193,0.0019860286,0.002879776,0.0013058964,0.0016891854,0.002903198],"category_scores_gemma":[0.0015065366,0.00028103424,0.0006658819,0.00090265006,0.0005729929,0.002676046,0.0020975173,0.0022074517,0.0024566385],"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":[0.00034557705,0.00063707086,0.0035648718,0.0007810027,0.00017656368,0.0018232095,0.0011517016,0.0149219725,0.094938226,0.30662698,0.10876436,0.46626848],"study_design_scores_gemma":[0.00009329382,0.0005902641,0.0029451996,0.00035558004,0.00012949143,0.0025189226,0.00086245005,0.28945056,0.040333252,0.060804635,0.6017859,0.00013048614],"about_ca_topic_score_codex":0.0022216125,"about_ca_topic_score_gemma":0.0025445882,"teacher_disagreement_score":0.002903198,"about_ca_system_score_codex":0.0010863707,"about_ca_system_score_gemma":0.0031880492,"threshold_uncertainty_score":0.00971216},"labels":[],"label_agreement":null},{"id":"W2806363353","doi":"10.5555/3213200.3213209","title":"Predicting indoor temperature from smart thermostat and weather forecast data","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thermostat; HVAC; Artificial neural network; Computer science; Meteorology; Environmental science; Engineering; Machine learning; Air conditioning; Geography","score_opus":0.02393915773020355,"score_gpt":0.22955279501327824,"score_spread":0.2056136372830747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806363353","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":[0.96464247,0.00008064624,0.02972831,0.000035838977,0.000027060705,0.00002846144,0.0019282894,0.00064587453,0.0028831558],"genre_scores_gemma":[0.99032986,0.000051772586,0.00753945,0.0000057923153,0.0000045779143,0.000012676992,0.0013176734,0.000017859771,0.0007203789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998808,0.0000133191215,0.000005292516,0.000034848425,0.000045426215,0.00002038223],"domain_scores_gemma":[0.99980086,0.000050882914,0.000022608114,0.00002370447,0.000087909735,0.000014016588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019774816,0.00046490738,0.00030973874,0.00037972615,0.00014681647,0.00027404365,0.00023067449,0.00025138876,0.000840468],"category_scores_gemma":[0.0006999306,0.00019708821,0.00025401806,0.0005940894,0.00012680196,0.000369251,0.00017154538,0.00026923057,0.00036115013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029272682,0.000120913915,0.08999683,0.000082396306,0.00006425573,0.00010859077,0.00006836531,0.82388544,0.017142514,0.00032032415,0.0012344562,0.06668328],"study_design_scores_gemma":[0.0000080256905,0.000047686855,0.05035513,0.0000044429944,0.000015916119,0.000016529055,0.00002741491,0.9429546,0.005932711,0.00015940113,0.00046639092,0.000011746628],"about_ca_topic_score_codex":0.08247287,"about_ca_topic_score_gemma":0.13927254,"teacher_disagreement_score":0.08247287,"about_ca_system_score_codex":0.000559235,"about_ca_system_score_gemma":0.0006201837,"threshold_uncertainty_score":0.16398561},"labels":[],"label_agreement":null},{"id":"W2806589217","doi":"10.5555/3213200.3213206","title":"Handover oscillation reduction in ultra-dense heterogeneous cellular networks using enhanced handover approach","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Computer science; Computer network; Heterogeneous network; Reduction (mathematics); Soft handover; Wireless network; Wireless; Real-time computing; Distributed computing; Telecommunications","score_opus":0.019222405325152923,"score_gpt":0.23482641198835735,"score_spread":0.21560400666320442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806589217","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":[0.36563715,0.00038321927,0.62988585,0.00012801574,0.000035684418,0.00004238987,0.00004417419,0.00013916029,0.0037044578],"genre_scores_gemma":[0.9869791,0.00007056298,0.012645637,0.000016494216,0.000005008809,0.000008159662,0.000012822733,0.0000040544855,0.0002580442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997439,0.0001025052,0.000010788215,0.000026568192,0.00006593361,0.000050297604],"domain_scores_gemma":[0.9995939,0.00023198135,0.000053773052,0.000031369014,0.00006517688,0.000023880044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054924487,0.00025788296,0.00025476803,0.00023914927,0.00021342513,0.00032729865,0.00041898972,0.00027238825,0.0003593534],"category_scores_gemma":[0.0009115131,0.00011108557,0.00024732787,0.00021143029,0.00026289572,0.00039971864,0.00043696293,0.0002501462,0.000034283723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055892593,0.000039833976,0.0011710242,0.000025454143,0.000018549408,0.00011964897,0.000043585234,0.9728434,0.0069959364,0.005297955,0.00015630577,0.013232491],"study_design_scores_gemma":[0.0000030105587,0.000018434012,0.00018443009,8.404658e-7,0.000003055499,0.000010290225,0.0000074062527,0.99882275,0.00049223116,0.00039688798,0.00005868931,0.0000019123888],"about_ca_topic_score_codex":0.002151075,"about_ca_topic_score_gemma":0.0021706077,"teacher_disagreement_score":0.002151075,"about_ca_system_score_codex":0.0005444338,"about_ca_system_score_gemma":0.0003130217,"threshold_uncertainty_score":0.00427711},"labels":[],"label_agreement":null},{"id":"W2806829681","doi":"10.5555/3213200.3213210","title":"Improving support vector machine classification accuracy based on kernel parameters optimization","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Face and Expression Recognition","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":"Toronto Metropolitan University","funders":"","keywords":"Support vector machine; Artificial intelligence; Computer science; Kernel (algebra); Pattern recognition (psychology); Machine learning; Hyperplane; Linear classifier; Multiple kernel learning; Structured support vector machine; Decision boundary; Feature selection; Statistical classification; Relevance vector machine; Kernel method; Mathematics","score_opus":0.03728179761610712,"score_gpt":0.2738774502591773,"score_spread":0.2365956526430702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806829681","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":[0.2071244,0.0027469953,0.7844049,0.00036445123,0.00020434074,0.000104655395,0.00020044693,0.002789722,0.002059991],"genre_scores_gemma":[0.8301967,0.00070018147,0.16718581,0.00006414099,0.00006841238,0.00008332447,0.0005816567,0.0001360797,0.0009837719],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972791,0.0005942903,0.00039496348,0.00042301873,0.0010716555,0.00023707758],"domain_scores_gemma":[0.99342465,0.0029543592,0.00064202695,0.0005676783,0.0023319153,0.000079403646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025229645,0.0009588178,0.0016094283,0.0018968948,0.00037107753,0.0015483061,0.00090831745,0.0010798244,0.00083910406],"category_scores_gemma":[0.014264639,0.00027595027,0.0007338977,0.0017089157,0.00032688392,0.0020908376,0.0005806479,0.0011779828,0.00069204485],"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":[0.0006701527,0.00030331488,0.009927213,0.00035422033,0.00018736001,0.00019911244,0.00016925695,0.22648059,0.031047242,0.002374627,0.0032760366,0.725011],"study_design_scores_gemma":[0.000018202365,0.00014338818,0.0038317724,0.000024142035,0.000045811696,0.000101144265,0.00005158918,0.97646856,0.016897336,0.0011987137,0.001191898,0.00002745334],"about_ca_topic_score_codex":0.0015538661,"about_ca_topic_score_gemma":0.00064997666,"teacher_disagreement_score":0.0025229645,"about_ca_system_score_codex":0.0004990672,"about_ca_system_score_gemma":0.0005623595,"threshold_uncertainty_score":0.013342857},"labels":[],"label_agreement":null},{"id":"W2806851634","doi":"10.5555/3213200.3213207","title":"Data mining classifiers comparison for seismic hazard prediction","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Seismology and Earthquake Studies","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":"Toronto Metropolitan University","funders":"","keywords":"Feature selection; Computer science; Data mining; Confusion matrix; Random forest; Data pre-processing; Resampling; Seismic hazard; Artificial intelligence; Seismology; Geology","score_opus":0.1274306002769645,"score_gpt":0.33540821918310093,"score_spread":0.20797761890613642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806851634","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":[0.7178848,0.02047734,0.22447108,0.0028457204,0.0027332855,0.001274531,0.006561274,0.0033641541,0.020387825],"genre_scores_gemma":[0.8977422,0.0030784064,0.08987011,0.00028142508,0.00029545627,0.0005012167,0.005243777,0.00006117219,0.0029262754],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997426,0.0005088077,0.00051994814,0.00036042693,0.0009169725,0.00026783938],"domain_scores_gemma":[0.99265176,0.0038331347,0.00029995298,0.00036696056,0.0026279872,0.00022019219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047326526,0.0010454247,0.0015233852,0.0034205804,0.00070738484,0.00130686,0.0009387585,0.0012166771,0.001867134],"category_scores_gemma":[0.011139469,0.0002029705,0.0013516047,0.0019971402,0.00019681666,0.0011227593,0.00054569205,0.0010289963,0.00065808627],"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":[0.0030033502,0.0011342976,0.05082011,0.0009815122,0.00069188274,0.0003326004,0.00028526885,0.10021838,0.0052501033,0.0020571724,0.01753491,0.8176904],"study_design_scores_gemma":[0.00019208004,0.002061369,0.033551503,0.00036293914,0.0006438378,0.00053266034,0.0007315299,0.9220956,0.021697316,0.004208209,0.013839151,0.00008375749],"about_ca_topic_score_codex":0.004914065,"about_ca_topic_score_gemma":0.0031170764,"teacher_disagreement_score":0.004914065,"about_ca_system_score_codex":0.00086502347,"about_ca_system_score_gemma":0.0011115596,"threshold_uncertainty_score":0.025028944},"labels":[],"label_agreement":null},{"id":"W2807331033","doi":"10.5555/3213200.3213211","title":"Simulating link aggregation in private virtual lan using openflow for cloud environment","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Software-Defined Networks and 5G","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":"Concordia University of Edmonton","funders":"","keywords":"Computer science; Computer network; Cloud computing; OpenFlow; Software-defined networking; Link layer; Port (circuit theory); Distributed computing; Telecommunications link; Isolation (microbiology); Virtual LAN; Operating system; Engineering","score_opus":0.0440534452637792,"score_gpt":0.2843590435562255,"score_spread":0.2403055982924463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807331033","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":[0.9494646,0.00021272765,0.039072566,0.0003361521,0.00013483032,0.000073621384,0.00058121904,0.00077540596,0.009348879],"genre_scores_gemma":[0.99205786,0.00007330904,0.006776756,0.000027322254,0.0000071430936,0.00002677548,0.00017196497,0.00002522694,0.00083360606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997279,0.000072960094,0.00001282794,0.00003641548,0.000051344115,0.00009846424],"domain_scores_gemma":[0.99921906,0.00042885062,0.00007798098,0.000057673824,0.00013456735,0.00008178175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004999156,0.00043879953,0.00034869567,0.00053634105,0.00064352155,0.00062524865,0.0007904638,0.00071200007,0.0025324095],"category_scores_gemma":[0.0009377121,0.00022889569,0.0004948371,0.0004692591,0.0004370921,0.00082481105,0.00050789985,0.000898884,0.00012857004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012316913,0.00018411326,0.0040894453,0.0000430312,0.0000190234,0.0001324461,0.000092856135,0.9852347,0.002894611,0.0025977122,0.00073455216,0.0038543835],"study_design_scores_gemma":[0.000010542089,0.000029908,0.0004644745,0.0000025638465,0.000004504852,0.000006335241,0.000023923638,0.9983369,0.00063060276,0.00029977207,0.00018660101,0.000003902418],"about_ca_topic_score_codex":0.019926181,"about_ca_topic_score_gemma":0.015108334,"teacher_disagreement_score":0.019926181,"about_ca_system_score_codex":0.0007656716,"about_ca_system_score_gemma":0.00074157584,"threshold_uncertainty_score":0.0396204},"labels":[],"label_agreement":null},{"id":"W2913394791","doi":"10.5555/3107979.3107983","title":"Comparing quantitative and comment-based ratings for recommending open educational resources","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Recommender Systems and 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":"Toronto Metropolitan University","funders":"","keywords":"Open educational resources; Computer science; Recommender system; Quality (philosophy); Similarity (geometry); Educational resources; Sentiment analysis; World Wide Web; Term (time); Knowledge management; Information retrieval; Data science; Artificial intelligence","score_opus":0.14978300387251006,"score_gpt":0.3810112360456392,"score_spread":0.23122823217312913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913394791","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":[0.88512766,0.0018494843,0.08937087,0.00043481868,0.0004914448,0.0010987069,0.003157055,0.001287974,0.017182004],"genre_scores_gemma":[0.93793035,0.00042333215,0.05563376,0.00007518676,0.00017388104,0.00028354145,0.0024328185,0.00007766495,0.002969407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9866333,0.006495287,0.0009943899,0.0009122885,0.0046681715,0.00029653564],"domain_scores_gemma":[0.9061482,0.06347331,0.004503186,0.0039014968,0.020849258,0.001124495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0105406325,0.00086046726,0.0009562188,0.003926061,0.00051047635,0.0020489965,0.0006990966,0.0010997662,0.0022817934],"category_scores_gemma":[0.059734892,0.0002460078,0.00073121034,0.002562351,0.00040403387,0.0022459198,0.0006891027,0.00074411725,0.0017229329],"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":[0.011529144,0.0020618937,0.27930012,0.004861626,0.0022044687,0.00047398056,0.0042082854,0.015132217,0.043900076,0.0028500112,0.0146882655,0.6187898],"study_design_scores_gemma":[0.00068350876,0.008624475,0.3992881,0.0005045492,0.0017374855,0.0008757819,0.0066532446,0.5246062,0.03892253,0.0029976715,0.014439729,0.0006667227],"about_ca_topic_score_codex":0.004796494,"about_ca_topic_score_gemma":0.0074603963,"teacher_disagreement_score":0.0105406325,"about_ca_system_score_codex":0.00059458136,"about_ca_system_score_gemma":0.00043702227,"threshold_uncertainty_score":0.055744886},"labels":[],"label_agreement":null},{"id":"W63266843","doi":"10.5555/2499986.2499989","title":"Tagging and folksonomies for information retrieval in Web 2.0","year":2013,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Semantic Web and Ontologies","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":"Folksonomy; Bookmarking; Computer science; Information retrieval; World Wide Web; Relation (database); The Internet; Process (computing); Data mining","score_opus":0.017458079707997384,"score_gpt":0.23886095966724594,"score_spread":0.22140287995924857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63266843","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":[0.0063749636,0.0043076645,0.9705784,0.0016421886,0.00040024842,0.000557133,0.0008505514,0.001847443,0.013441504],"genre_scores_gemma":[0.058951978,0.0034468267,0.92670095,0.000598248,0.00032264378,0.0006425031,0.0020899572,0.00022061393,0.007026211],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9921864,0.003322061,0.0013976598,0.0011081126,0.0017193862,0.00026629728],"domain_scores_gemma":[0.99292576,0.0029208136,0.00079862255,0.0017765762,0.0013607214,0.00021749958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048525245,0.0008084991,0.0012347902,0.009109874,0.0022308466,0.0073870225,0.0012808485,0.0016990629,0.0048756925],"category_scores_gemma":[0.017392248,0.0006512946,0.0016301273,0.01011094,0.0021157407,0.012768615,0.0030557967,0.0017598504,0.0038107575],"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":[0.00016832024,0.00017669931,0.0029288472,0.0015709833,0.00013280682,0.0004330116,0.0021761318,0.007023621,0.009460509,0.4558082,0.027606754,0.49251413],"study_design_scores_gemma":[0.000047249086,0.00016019747,0.0060432446,0.0011645248,0.00012283164,0.0017955857,0.0018296181,0.13303362,0.009455209,0.5457363,0.30032176,0.0002898506],"about_ca_topic_score_codex":0.0053390507,"about_ca_topic_score_gemma":0.005143682,"teacher_disagreement_score":0.009109874,"about_ca_system_score_codex":0.0026397917,"about_ca_system_score_gemma":0.0026084846,"threshold_uncertainty_score":0.025662899},"labels":[],"label_agreement":null}]}