{"meta":{"query_hash":"c1ddeea61a4f","filters":{"venue":"IET Networks"},"cohort_total":16,"direct_labels_cover":0,"predictions_cover":16,"exported":16,"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/c1ddeea61a4f","api":"https://metacan.xera.ac/api/v1/cohort?venue=IET+Networks"},"results":[{"id":"W2084968992","doi":"10.1049/iet-net.2014.0105","title":"Investigation on software‐defined networks’ reactive routing against BitTorrent","year":2015,"lang":"en","type":"article","venue":"IET Networks","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"BitTorrent; Computer network; Computer science; Network topology; Topology (electrical circuits); Logical topology; Distributed computing; Routing (electronic design automation); Routing protocol; Peer-to-peer; Mathematics","score_opus":0.05535742570068246,"score_gpt":0.2270115409873819,"score_spread":0.17165411528669944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084968992","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":[0.9315444,0.0011379863,0.05085169,0.0008992217,0.00026184146,0.00022767628,0.000079956575,0.0007200583,0.014277107],"genre_scores_gemma":[0.9914358,0.0002581961,0.0072995173,0.00012449427,0.000016442593,0.000025789994,0.000063404936,0.000027154923,0.00074917247],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99519724,0.0020222338,0.00023997508,0.00034156372,0.0018366901,0.00036225928],"domain_scores_gemma":[0.9856624,0.007563615,0.0010393356,0.0015838571,0.0038296755,0.00032119695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004729453,0.00044802294,0.00044386092,0.00094508764,0.0007028265,0.0014651456,0.0014546306,0.0007478352,0.0008634679],"category_scores_gemma":[0.014159188,0.00016881445,0.00029976462,0.00062357425,0.00063192606,0.0017034075,0.0005096863,0.00072784926,0.00017617794],"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":[0.003645029,0.001836277,0.03036238,0.0016485999,0.00070506136,0.002190892,0.002262035,0.27661368,0.3792836,0.046923354,0.0064866734,0.24804235],"study_design_scores_gemma":[0.000073594405,0.002640759,0.009874263,0.00011647242,0.00028832426,0.000943257,0.0011762693,0.8094476,0.16406713,0.0039802124,0.007306909,0.000085164465],"about_ca_topic_score_codex":0.0024028337,"about_ca_topic_score_gemma":0.0014526256,"teacher_disagreement_score":0.004729453,"about_ca_system_score_codex":0.0008463415,"about_ca_system_score_gemma":0.0005734272,"threshold_uncertainty_score":0.025012016},"labels":[],"label_agreement":null},{"id":"W2162210517","doi":"10.1049/iet-net.2012.0224","title":"Doppler frequency estimation‐based handover algorithm for long‐term evolution networks","year":2013,"lang":"en","type":"article","venue":"IET Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Handover; Computer science; Real-time computing; Term (time); Interference (communication); Macro; Telecommunications link; Doppler frequency; Cellular network; Simple (philosophy); Computer network; Scheme (mathematics); Algorithm; Doppler effect; Channel (broadcasting)","score_opus":0.006389375785722889,"score_gpt":0.21158969675716655,"score_spread":0.20520032097144367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162210517","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":[0.021209123,0.00050739676,0.97683936,0.00007346615,0.0000550916,0.000028626675,0.00001687446,0.00017997758,0.001089999],"genre_scores_gemma":[0.5447957,0.0006954502,0.45010114,0.000064672386,0.00007628617,0.0001282733,0.0001568638,0.00003206447,0.003949512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982387,0.0000500654,0.000009808588,0.000020207117,0.00007454289,0.00002167746],"domain_scores_gemma":[0.99972075,0.00014184914,0.000027501834,0.000024770601,0.00007392061,0.000011138206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038465584,0.00027031777,0.00035204654,0.00032252687,0.00026409226,0.00035376695,0.00051701465,0.00047054802,0.0012267049],"category_scores_gemma":[0.0013855828,0.00011576845,0.0001462206,0.00032871243,0.00019057862,0.00050043553,0.00033306022,0.000497676,0.00030825989],"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":[0.00026715442,0.00010479092,0.0012334507,0.00006952596,0.00005012268,0.00005736168,0.0000686629,0.506645,0.01764104,0.011005094,0.00209214,0.4607656],"study_design_scores_gemma":[0.000014044152,0.000040639767,0.00046701002,0.0000036832118,0.0000051557654,0.000026743488,0.0000062818854,0.9953029,0.0021294488,0.0009429675,0.0010555082,0.0000056593476],"about_ca_topic_score_codex":0.0020638246,"about_ca_topic_score_gemma":0.0025601122,"teacher_disagreement_score":0.0020638246,"about_ca_system_score_codex":0.0003807398,"about_ca_system_score_gemma":0.0005357555,"threshold_uncertainty_score":0.00410372},"labels":[],"label_agreement":null},{"id":"W2218614072","doi":"10.1049/iet-net.2013.0003","title":"Resilient Network Design","year":2013,"lang":"en","type":"article","venue":"IET Networks","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.011555157381773666,"score_gpt":0.2110986917479675,"score_spread":0.19954353436619382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218614072","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":[0.0068239663,0.0033991672,0.9164468,0.0029605853,0.0009861059,0.00023700984,0.00037140909,0.0018961085,0.06687873],"genre_scores_gemma":[0.4567487,0.010344772,0.45516816,0.0025015075,0.00083621853,0.001014442,0.0010626232,0.0005925274,0.07173097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913555,0.00021972228,0.000042996053,0.0002123764,0.00028318405,0.000106135296],"domain_scores_gemma":[0.99910957,0.00024106326,0.000085816064,0.00021976727,0.00026646876,0.000077219906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008357315,0.00096006383,0.0005103292,0.0011117031,0.0012040943,0.0020790168,0.0018631198,0.0011478892,0.01142053],"category_scores_gemma":[0.0028033864,0.00038491352,0.0006133938,0.00078526477,0.0015443631,0.003297393,0.0020037252,0.0018390784,0.0032647979],"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":[0.00010436256,0.000043054322,0.00038343048,0.00040755182,0.00005396474,0.00029697272,0.00028340024,0.10659428,0.006313517,0.72232103,0.029627401,0.13357106],"study_design_scores_gemma":[0.000037727375,0.00016691959,0.00020217759,0.00019782582,0.000048122383,0.0005853473,0.00015197536,0.23210014,0.0049894527,0.5307369,0.23072541,0.000058026806],"about_ca_topic_score_codex":0.0011992948,"about_ca_topic_score_gemma":0.0013090401,"teacher_disagreement_score":0.01142053,"about_ca_system_score_codex":0.001738261,"about_ca_system_score_gemma":0.0011183524,"threshold_uncertainty_score":0.038205445},"labels":[],"label_agreement":null},{"id":"W2221570658","doi":"10.1049/iet-net.2013.0045","title":"Finite‐state Markov modelling for wireless cooperative networks","year":2013,"lang":"en","type":"article","venue":"IET Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Fading; Markov chain; Wireless network; Wireless; Cooperative diversity; Path (computing); Markov model; Maximal-ratio combining; Signal-to-noise ratio (imaging); Scalability; Diversity combining; Computer network; Channel (broadcasting); Machine learning; Telecommunications","score_opus":0.03256792284504671,"score_gpt":0.25439941396990495,"score_spread":0.22183149112485823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221570658","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":[0.0065499255,0.0006518846,0.9882967,0.00028139583,0.000064287786,0.00004824921,0.00022330857,0.00022391508,0.0036603208],"genre_scores_gemma":[0.8563763,0.0037071258,0.12498528,0.00029019054,0.00022097131,0.0010972271,0.0009396616,0.00013051055,0.01225267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993818,0.0002470942,0.000029917212,0.000088729474,0.00016721367,0.00008522165],"domain_scores_gemma":[0.99662966,0.0025944847,0.00027279678,0.00012809747,0.00031918552,0.000055704728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012268644,0.0010321317,0.000961977,0.00082993,0.0005750574,0.0011480991,0.0012866167,0.0014271683,0.003200978],"category_scores_gemma":[0.004997094,0.0005107859,0.00097646983,0.0009140365,0.0011263437,0.0013568205,0.00074785016,0.0018146641,0.000668307],"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":[0.000018723667,0.00001733935,0.0004265248,0.000040396593,0.000018348319,0.00007977874,0.0000734215,0.9173673,0.00044112385,0.0762628,0.0005858188,0.0046684793],"study_design_scores_gemma":[0.0000033189792,0.000006069324,0.000049576054,0.00000611681,0.000004465489,0.0000070819538,0.0000063682387,0.9845106,0.00007697773,0.014831381,0.0004934309,0.000004694476],"about_ca_topic_score_codex":0.017333997,"about_ca_topic_score_gemma":0.011879752,"teacher_disagreement_score":0.017333997,"about_ca_system_score_codex":0.0019851557,"about_ca_system_score_gemma":0.0015100475,"threshold_uncertainty_score":0.034466207},"labels":[],"label_agreement":null},{"id":"W2243559354","doi":"10.1049/iet-net.2014.0107","title":"Distributed FlowVisor: a distributed FlowVisor platform for quality of service aware cloud network virtualisation","year":2015,"lang":"en","type":"article","venue":"IET Networks","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":14,"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; University of British Columbia","funders":"","keywords":"Scalability; Computer science; Cloud computing; Quality of service; Distributed computing; Computer network; OpenFlow; Overlay network; Virtual network; Software-defined networking; Operating system; The Internet","score_opus":0.0685462008429704,"score_gpt":0.2908193362936152,"score_spread":0.2222731354506448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243559354","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":[0.044559665,0.0006661967,0.8791677,0.00044252558,0.00027571403,0.0006910105,0.00053048553,0.06258581,0.011080916],"genre_scores_gemma":[0.640128,0.0008412344,0.33674613,0.00052223576,0.00016653736,0.0006047627,0.0026148781,0.0026048985,0.015771342],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938524,0.0001135564,0.000039688923,0.00012032349,0.00024234169,0.000098843164],"domain_scores_gemma":[0.99925786,0.0001239899,0.00006857266,0.00024279032,0.00015632725,0.00015041862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013407373,0.0005508098,0.00047948712,0.0007929871,0.000523742,0.0018240798,0.00202582,0.0006417955,0.0038032872],"category_scores_gemma":[0.0018582552,0.0003056,0.00035121804,0.00051012955,0.00046752836,0.0020243735,0.001661273,0.0012686508,0.00076347665],"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":[0.0018021299,0.0010633682,0.0049050823,0.00046469204,0.00027517538,0.00056164904,0.00078099075,0.08800911,0.109469175,0.059163406,0.055560395,0.67794484],"study_design_scores_gemma":[0.00060817867,0.0005756429,0.0028740712,0.00006865252,0.00006599687,0.0004684909,0.00011969115,0.7985448,0.058849163,0.017240781,0.1204142,0.00017026409],"about_ca_topic_score_codex":0.0033270416,"about_ca_topic_score_gemma":0.0024300653,"teacher_disagreement_score":0.0038032872,"about_ca_system_score_codex":0.00097324053,"about_ca_system_score_gemma":0.001696601,"threshold_uncertainty_score":0.012723267},"labels":[],"label_agreement":null},{"id":"W2586804833","doi":"10.1049/iet-net.2016.0125","title":"sPing: a user‐centred debugging mechanism for software defined networks","year":2017,"lang":"en","type":"article","venue":"IET Networks","topic":"Software-Defined Networks and 5G","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":"University of British Columbia","funders":"Ministry of Science and Technology","keywords":"Debugging; Troubleshooting; Computer science; Software-defined networking; Network packet; Forwarding plane; The Internet; Computer network; Software; Layer (electronics); Mechanism (biology); Operating system","score_opus":0.0285811722197432,"score_gpt":0.2500728753233801,"score_spread":0.22149170310363686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586804833","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":[0.036714617,0.00050545484,0.91199553,0.0003571495,0.00027299457,0.00038708825,0.00021363338,0.045919824,0.0036336468],"genre_scores_gemma":[0.69229627,0.00037401592,0.29832143,0.0006434732,0.00014772097,0.00034165036,0.0005481093,0.0013837725,0.005943574],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973014,0.00094226794,0.000239808,0.0003807486,0.0009167784,0.00021909337],"domain_scores_gemma":[0.99155957,0.0023635055,0.0007881744,0.0032623904,0.0015622248,0.0004642207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00465568,0.0009753202,0.0006855602,0.0019940909,0.000705044,0.0014546536,0.0027249397,0.0012899688,0.002779886],"category_scores_gemma":[0.008101869,0.00049266015,0.00043069094,0.00066525076,0.0010092696,0.0024887505,0.0020215146,0.0016039182,0.0005782711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031790626,0.0007128767,0.01685105,0.0008308291,0.00032125556,0.0011051879,0.0024089734,0.02120876,0.08073221,0.059541695,0.032067478,0.78104067],"study_design_scores_gemma":[0.0006804864,0.002215739,0.006006122,0.00030034562,0.00036535852,0.0020836887,0.00031084527,0.57651633,0.24453123,0.03097348,0.13558467,0.0004316285],"about_ca_topic_score_codex":0.0010287772,"about_ca_topic_score_gemma":0.000996574,"teacher_disagreement_score":0.00465568,"about_ca_system_score_codex":0.00072794704,"about_ca_system_score_gemma":0.0011101475,"threshold_uncertainty_score":0.024621844},"labels":[],"label_agreement":null},{"id":"W2734425079","doi":"10.1049/iet-net.2017.0033","title":"Approximate reliability of multi‐state two‐terminal networks by stochastic analysis","year":2017,"lang":"en","type":"article","venue":"IET Networks","topic":"Reliability and Maintenance Optimization","field":"Engineering","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":"University of Alberta","funders":"National Science Foundation","keywords":"Reliability (semiconductor); Scalability; Bernoulli's principle; Computer science; Monte Carlo method; Stochastic modelling; State (computer science); Mathematical optimization; Algorithm; Mathematics; Statistics","score_opus":0.007234336464950456,"score_gpt":0.23133020278048766,"score_spread":0.2240958663155372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734425079","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":[0.041141946,0.0002796488,0.9565705,0.000104729486,0.000012744749,0.000023624718,0.000060419727,0.00013317495,0.0016730897],"genre_scores_gemma":[0.9435754,0.00048243257,0.053999983,0.000037702805,0.000023979122,0.0001252988,0.00015458046,0.000048287508,0.0015523386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993735,0.0002605183,0.000023325745,0.000088915775,0.00018342186,0.00007029987],"domain_scores_gemma":[0.9976555,0.0017092361,0.00027786614,0.000106002335,0.00020991906,0.000041519903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015032922,0.00085026625,0.0008429443,0.0010158385,0.0004128542,0.00080982456,0.0009033095,0.00093651563,0.0009934041],"category_scores_gemma":[0.0044270097,0.0005622014,0.0009863253,0.0007807319,0.0009600556,0.0010182575,0.00061776116,0.0008566113,0.00015969007],"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":[0.0000045328065,0.0000026261655,0.00009596276,0.000004955492,0.0000030025408,0.0000074651994,0.0000049787695,0.9967033,0.00010267191,0.0022726932,0.000028154542,0.0007695867],"study_design_scores_gemma":[4.3098672e-7,0.0000019194363,0.000023810044,9.4699107e-7,7.811578e-7,0.000001946126,9.559013e-7,0.9990658,0.000032673375,0.0008515885,0.000018265859,7.8067e-7],"about_ca_topic_score_codex":0.007466214,"about_ca_topic_score_gemma":0.0044814507,"teacher_disagreement_score":0.007466214,"about_ca_system_score_codex":0.0014542138,"about_ca_system_score_gemma":0.00090066716,"threshold_uncertainty_score":0.01484555},"labels":[],"label_agreement":null},{"id":"W2789911982","doi":"10.1049/iet-net.2017.0004","title":"Leveraging synergy of SDWN and multi‐layer resource management for 5G networks","year":2018,"lang":"en","type":"article","venue":"IET Networks","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":15,"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 Toronto; McGill University","funders":"","keywords":"Computer science; Software-defined networking; Distributed computing; Virtualization; Reliability (semiconductor); Computer network; Resource management (computing); Wireless network; Layer (electronics); Resource allocation; Key (lock); Wireless; Cloud computing; Telecommunications; Operating system","score_opus":0.02209963314952423,"score_gpt":0.24483930656475572,"score_spread":0.2227396734152315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789911982","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":[0.02016942,0.00075910497,0.96900046,0.00042996975,0.000093779636,0.000029158273,0.000013257142,0.00016639562,0.009338379],"genre_scores_gemma":[0.79862076,0.0013738931,0.1956256,0.00023877562,0.00012071836,0.000054216078,0.000045319754,0.000047502075,0.0038731724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994936,0.00018794212,0.000023797398,0.00007399917,0.0001585969,0.000062034924],"domain_scores_gemma":[0.9996171,0.00015740676,0.000048768245,0.000082243256,0.00006161892,0.000032910404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009797328,0.0005613447,0.0002983425,0.00036629452,0.00032520012,0.0013505889,0.0009308529,0.00058362633,0.00076478854],"category_scores_gemma":[0.000960217,0.00023743212,0.0003801778,0.00043799297,0.0008299312,0.0018262002,0.0016809218,0.0010177022,0.00015421848],"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":[0.00010569442,0.00010917491,0.001041717,0.00013203338,0.00007778701,0.00022813074,0.00019361786,0.41423926,0.027468363,0.42036292,0.0017601682,0.13428101],"study_design_scores_gemma":[0.0000076095967,0.000093616996,0.00023827095,0.000025629392,0.000019454257,0.00006947398,0.00004035905,0.93661135,0.0053270627,0.04692142,0.01062702,0.000018659475],"about_ca_topic_score_codex":0.0014266003,"about_ca_topic_score_gemma":0.0018948296,"teacher_disagreement_score":0.0014266003,"about_ca_system_score_codex":0.00091378274,"about_ca_system_score_gemma":0.00071041274,"threshold_uncertainty_score":0.0066300035},"labels":[],"label_agreement":null},{"id":"W2888512292","doi":"10.1049/iet-net.2018.5041","title":"Optimising the power using firework‐based evolutionary algorithms for emerging IoT applications","year":2018,"lang":"en","type":"article","venue":"IET Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; Simon Fraser University","funders":"","keywords":"Computer science; Internet of Things; Evolutionary algorithm; Particle swarm optimization; Metaheuristic; Population; Cluster (spacecraft); Algorithm; Distributed computing; Mathematical optimization; Artificial intelligence; Computer network; Mathematics","score_opus":0.026024045340612322,"score_gpt":0.2851696115422136,"score_spread":0.2591455662016013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888512292","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":[0.048140846,0.00041932226,0.94653267,0.00024939404,0.000046398472,0.000054278586,0.000022232867,0.000115100906,0.004419658],"genre_scores_gemma":[0.7498774,0.00064107165,0.24450015,0.00015777341,0.000039578244,0.00027514857,0.000081673825,0.000066197645,0.0043610292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998362,0.00006110557,0.000007977817,0.000026435599,0.000044957367,0.000023324863],"domain_scores_gemma":[0.9994924,0.00035341657,0.00005320797,0.000022504526,0.000061306804,0.000017016979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007719035,0.00070046005,0.0007419834,0.0006855956,0.0003545102,0.00091992045,0.00096099905,0.0011409274,0.001103528],"category_scores_gemma":[0.0019296252,0.00042812416,0.0008183986,0.00066494045,0.0006169663,0.000867496,0.0005898252,0.0007235052,0.00014118433],"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":[0.000009560316,0.00002021604,0.00024046934,0.00001544016,0.000021884262,0.000019520201,0.000016598904,0.9869032,0.0004062348,0.0030743815,0.00013236635,0.009140209],"study_design_scores_gemma":[0.00000537288,0.000010478328,0.000039455368,0.000002471512,0.000003679432,0.0000049893024,0.0000055238183,0.99849474,0.00009973877,0.0011560454,0.00017611095,0.0000014508306],"about_ca_topic_score_codex":0.0030148863,"about_ca_topic_score_gemma":0.0026169082,"teacher_disagreement_score":0.0030148863,"about_ca_system_score_codex":0.0006201347,"about_ca_system_score_gemma":0.00067783444,"threshold_uncertainty_score":0.0059946775},"labels":[],"label_agreement":null},{"id":"W2921537655","doi":"10.1049/iet-net.2018.5106","title":"Energy aware routing for efficient green communication in opportunistic networks","year":2019,"lang":"en","type":"article","venue":"IET Networks","topic":"Opportunistic and Delay-Tolerant Networks","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 network; Computer science; Routing protocol; Routing (electronic design automation); Overhead (engineering); Dynamic Source Routing; Link-state routing protocol; Static routing; Geographic routing; Node (physics); Distributed computing; Engineering","score_opus":0.017761572566061347,"score_gpt":0.23535436014917632,"score_spread":0.21759278758311498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921537655","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":[0.043706037,0.0011580136,0.9434156,0.0004627773,0.00017135423,0.00013183142,0.000104905885,0.00034596337,0.010503529],"genre_scores_gemma":[0.90044475,0.0009899334,0.09290561,0.000182504,0.00005646296,0.0001536442,0.000115630064,0.000049011865,0.005102509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969554,0.00010184194,0.000015824658,0.00003800706,0.00009214422,0.000056659585],"domain_scores_gemma":[0.9992969,0.0003792633,0.00009868693,0.00009983613,0.00009130427,0.000034128167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006902069,0.00034394814,0.00036540203,0.00042387669,0.0006649015,0.00078494305,0.0006869766,0.00045400183,0.0008954782],"category_scores_gemma":[0.0015097708,0.00018148003,0.00025123518,0.0005382672,0.0005424127,0.0009842287,0.001031509,0.0004451435,0.00016240127],"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":[0.0002522037,0.00015642786,0.0018314286,0.000513814,0.0001019696,0.00091250445,0.0005924688,0.5385231,0.03670006,0.22627702,0.008284521,0.18585454],"study_design_scores_gemma":[0.00002261709,0.00009873389,0.0005289925,0.000036581187,0.000022897751,0.00032464493,0.00020106055,0.91643363,0.004900048,0.06176325,0.015637064,0.0000305057],"about_ca_topic_score_codex":0.0016015894,"about_ca_topic_score_gemma":0.0034676178,"teacher_disagreement_score":0.0016015894,"about_ca_system_score_codex":0.00055345526,"about_ca_system_score_gemma":0.0008809453,"threshold_uncertainty_score":0.0040156245},"labels":[],"label_agreement":null},{"id":"W3153923212","doi":"10.1049/ntw2.12025","title":"Game theoretic approach for public multi‐mode transportation in smart cities","year":2021,"lang":"en","type":"article","venue":"IET Networks","topic":"Transportation Planning and Optimization","field":"Social Sciences","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":"University of Ottawa","funders":"","keywords":"Public transport; Mode (computer interface); Computer science; Game theory; Smart city; Transport engineering; Business; Computer security; Engineering; Human–computer interaction; Economics; Mathematical economics; Internet of Things","score_opus":0.0317398769099584,"score_gpt":0.2828196749411528,"score_spread":0.2510797980311944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153923212","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":[0.026594002,0.00027367318,0.955901,0.0005495749,0.00006631139,0.0000769128,0.00018678719,0.00012423086,0.016227448],"genre_scores_gemma":[0.9191064,0.00039540956,0.07285045,0.00013972979,0.000037891085,0.0002051215,0.000134054,0.000046048473,0.0070847073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994795,0.00029031205,0.000012292813,0.000059086535,0.00009392265,0.00006499092],"domain_scores_gemma":[0.99969923,0.00017185278,0.000027645925,0.000016736054,0.000057501253,0.000026965668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918309,0.0006375967,0.0006218508,0.0005921145,0.0005134896,0.0012530736,0.0010197967,0.00081716746,0.003623107],"category_scores_gemma":[0.00096676213,0.000333465,0.00067799015,0.0006733853,0.0007589191,0.0015163119,0.00085742224,0.0008366478,0.00026244842],"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":[0.000013611086,0.0000199007,0.0001507726,0.000020522728,0.000014672375,0.000050529037,0.000027532435,0.92114055,0.00031397122,0.07445429,0.0006417244,0.003151891],"study_design_scores_gemma":[0.0000029475184,0.000005276882,0.000035422257,0.0000023201603,0.000003187693,0.0000066164644,0.000014243614,0.9841499,0.00004865041,0.015067826,0.0006607924,0.000002882289],"about_ca_topic_score_codex":0.018129647,"about_ca_topic_score_gemma":0.012838698,"teacher_disagreement_score":0.018129647,"about_ca_system_score_codex":0.0022931753,"about_ca_system_score_gemma":0.0016378983,"threshold_uncertainty_score":0.036048234},"labels":[],"label_agreement":null},{"id":"W3172943015","doi":"10.1049/ntw2.12029","title":"Performance of cache placement using supervised learning techniques in mobile edge networks","year":2021,"lang":"en","type":"article","venue":"IET Networks","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cache; Enhanced Data Rates for GSM Evolution; Cache algorithms; Computer architecture; Artificial intelligence; Computer network; CPU cache","score_opus":0.017925108509412077,"score_gpt":0.23540745682291342,"score_spread":0.21748234831350133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172943015","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":[0.8866412,0.00090443675,0.108519636,0.0002629986,0.00007302678,0.00005234231,0.0000924814,0.0009131217,0.0025406897],"genre_scores_gemma":[0.9903536,0.000049628605,0.009104077,0.000027973387,0.000007597181,0.000012749119,0.00006813328,0.00000949281,0.00036663772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994506,0.00020741172,0.000034248744,0.000097013355,0.000098081306,0.000112722424],"domain_scores_gemma":[0.99762386,0.0013037792,0.0002785211,0.00012932587,0.00055214646,0.00011229663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010164198,0.00067408703,0.0008935883,0.0005100724,0.0003803812,0.0005072044,0.00076691044,0.00072906236,0.0004865257],"category_scores_gemma":[0.0032519363,0.00020289638,0.00032461312,0.0005063798,0.00033246985,0.00063913874,0.00046535232,0.00045874694,0.00013709348],"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":[0.00027607923,0.00018913131,0.0033016733,0.00003252879,0.000034428067,0.00004254008,0.000020288031,0.9554047,0.0013635148,0.00026824538,0.00048010435,0.038586758],"study_design_scores_gemma":[0.0000025132294,0.000037668127,0.00016477416,0.0000010092712,0.0000020349278,0.0000040260147,0.000004025232,0.99940693,0.00030453206,0.000057624784,0.000013774507,0.0000010051714],"about_ca_topic_score_codex":0.009633857,"about_ca_topic_score_gemma":0.0071694995,"teacher_disagreement_score":0.009633857,"about_ca_system_score_codex":0.0010013512,"about_ca_system_score_gemma":0.00072868314,"threshold_uncertainty_score":0.019155562},"labels":[],"label_agreement":null},{"id":"W4285800481","doi":"10.1049/ntw2.12044","title":"Priority‐based resource allocation in wireless powered UAV‐assisted networks","year":2022,"lang":"en","type":"article","venue":"IET Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Resource allocation; Wireless; Wireless network; Resource (disambiguation); Computer network; Telecommunications","score_opus":0.006373121375094199,"score_gpt":0.19607742028415984,"score_spread":0.18970429890906565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285800481","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":[0.07928444,0.0010853746,0.9096116,0.0003497367,0.000128825,0.00012912953,0.00009359133,0.0001858983,0.009131489],"genre_scores_gemma":[0.94994974,0.00037278887,0.04611145,0.00006117341,0.000037804835,0.00006367219,0.00005571278,0.000026146317,0.003321538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994454,0.00020158796,0.000019226953,0.00007571337,0.00011703389,0.00014109498],"domain_scores_gemma":[0.99933213,0.00039395734,0.00007867205,0.000025311927,0.000117687094,0.000052231153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008813609,0.0005457053,0.00064189744,0.00036613832,0.00038519382,0.0008492974,0.0009790694,0.00048207343,0.0017787098],"category_scores_gemma":[0.0016557218,0.00027224727,0.00020650418,0.0007574228,0.0003960421,0.0008878692,0.0005667671,0.00045886324,0.00020527586],"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":[0.00010867629,0.00007215911,0.00026918502,0.00008695297,0.00001550176,0.00007982031,0.00003485761,0.9534948,0.0025201107,0.0085434,0.0013427311,0.03343173],"study_design_scores_gemma":[0.0000072758776,0.00003310439,0.000065126915,0.000002930184,0.0000025752668,0.000013523359,0.000012920074,0.9967713,0.00032706218,0.002331374,0.00043030377,0.0000024365352],"about_ca_topic_score_codex":0.004693607,"about_ca_topic_score_gemma":0.004922922,"teacher_disagreement_score":0.004693607,"about_ca_system_score_codex":0.001028393,"about_ca_system_score_gemma":0.0008242869,"threshold_uncertainty_score":0.009332538},"labels":[],"label_agreement":null},{"id":"W4292707895","doi":"10.1049/ntw2.12040","title":"Agile roadmap for application‐driven Multi‐UAV networks: The case of COVID‐19","year":2022,"lang":"en","type":"article","venue":"IET Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"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":"Agile software development; Drone; Software deployment; Service (business); Computer science; Computer security; Coronavirus disease 2019 (COVID-19); Set (abstract data type); Service provider; Social distance; Systems engineering; Engineering; Business; Software engineering","score_opus":0.01135112331632656,"score_gpt":0.24042913039724434,"score_spread":0.22907800708091777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292707895","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":[0.14583755,0.0016726138,0.7015722,0.022574423,0.0006729541,0.00047731103,0.00036046133,0.0006880953,0.12614447],"genre_scores_gemma":[0.88813007,0.000621617,0.10221329,0.0004854876,0.0000646659,0.00018195075,0.0001402891,0.00007170899,0.008090888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987179,0.0006873549,0.00003103425,0.00013238231,0.00020752351,0.00022374622],"domain_scores_gemma":[0.9983834,0.0006855698,0.00011240464,0.00019611364,0.00031906366,0.00030343872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022086934,0.0004975852,0.00024029873,0.00046004684,0.0016706804,0.0024126456,0.0012344816,0.0019947535,0.005258956],"category_scores_gemma":[0.003142461,0.00024806353,0.0003709083,0.00041067883,0.0012812335,0.0032875126,0.002910065,0.001927551,0.00053744385],"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":[0.00014561697,0.00016275154,0.002158763,0.00015718244,0.00003296442,0.0018355103,0.00051424134,0.45756623,0.0047574746,0.47598013,0.013865793,0.042823296],"study_design_scores_gemma":[0.000019405717,0.00008179373,0.00039096928,0.000048109145,0.000010221785,0.00036448738,0.000986555,0.84691054,0.00126224,0.11310113,0.03679999,0.000024585599],"about_ca_topic_score_codex":0.0057969093,"about_ca_topic_score_gemma":0.0064163515,"teacher_disagreement_score":0.0057969093,"about_ca_system_score_codex":0.0013590384,"about_ca_system_score_gemma":0.0015078045,"threshold_uncertainty_score":0.017592907},"labels":[],"label_agreement":null},{"id":"W4400695494","doi":"10.1049/ntw2.12130","title":"Guest Editorial: Unfolding the potential of 5G technologies for future wireless networks","year":2024,"lang":"en","type":"editorial","venue":"IET Networks","topic":"Advanced MIMO Systems Optimization","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":"Royal Military College of Canada","funders":"","keywords":"Wireless; Computer science; Wireless network; Telecommunications","score_opus":0.0029300684873755723,"score_gpt":0.21262096360178265,"score_spread":0.20969089511440708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400695494","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000052030886,0.0036721013,0.00018155767,0.032905083,0.9613515,0.000011291113,0.00004843521,0.000045575627,0.0017324213],"genre_scores_gemma":[0.0005939377,0.0035847342,0.00008904559,0.012152788,0.97667265,0.000010837374,0.000022231336,0.000030864652,0.0068429615],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976928,0.00033423823,0.00023543256,0.0003291637,0.0012260834,0.00018224579],"domain_scores_gemma":[0.990511,0.0036129782,0.00041200087,0.00023560968,0.0038589956,0.0013693852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003407666,0.00325278,0.0022650862,0.001736301,0.0020730777,0.005277435,0.0025697262,0.011203464,0.011449141],"category_scores_gemma":[0.012881142,0.00067931216,0.0015657993,0.0008319966,0.0019499655,0.003793187,0.000932968,0.016860597,0.010227047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024887437,0.000009719014,0.000018638957,0.00010943759,0.000007410163,0.00012795391,0.000007985674,0.000045864053,0.000061099054,0.0004587683,0.9957474,0.0033809266],"study_design_scores_gemma":[0.000042221487,0.00003908597,0.00020306864,0.00026903508,0.000027729984,0.00043873268,0.000036829504,0.00035614666,0.0001796359,0.0018162822,0.9965718,0.00001952176],"about_ca_topic_score_codex":0.00079883996,"about_ca_topic_score_gemma":0.001906857,"teacher_disagreement_score":0.011449141,"about_ca_system_score_codex":0.001813912,"about_ca_system_score_gemma":0.0018483512,"threshold_uncertainty_score":0.03830117},"labels":[],"label_agreement":null},{"id":"W4406803354","doi":"10.1049/ntw2.12140","title":"Priority‐based resource optimisation and user association in integrated networks","year":2025,"lang":"en","type":"article","venue":"IET Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Association (psychology); Computer science; Resource (disambiguation); Computer network; Psychology","score_opus":0.003801149647632001,"score_gpt":0.20565697665001334,"score_spread":0.20185582700238133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406803354","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":[0.037338234,0.0006113305,0.9566769,0.00016290435,0.000045293844,0.00005210983,0.000046258952,0.0001530866,0.004913849],"genre_scores_gemma":[0.8560117,0.00047478272,0.13928084,0.000096789976,0.00004154873,0.00010039688,0.00009086474,0.00006387526,0.0038392416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989588,0.00042535234,0.000025602536,0.00011523366,0.00027560806,0.00019946798],"domain_scores_gemma":[0.9984767,0.0010140479,0.00015120015,0.000058554215,0.00021855994,0.000080959704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014723719,0.00085278763,0.0013607952,0.00060295034,0.00035437336,0.0012763044,0.0010944032,0.0007786412,0.0020885435],"category_scores_gemma":[0.0031646218,0.00047415728,0.00042444823,0.0013791523,0.0006110907,0.0011354467,0.0009145622,0.0010370066,0.0002704387],"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":[0.000080703656,0.00006317731,0.00019592678,0.000038986567,0.000022528882,0.000020844634,0.000017057184,0.9764494,0.0009731388,0.007091892,0.00043571397,0.014610592],"study_design_scores_gemma":[0.0000071412346,0.00002242291,0.000047658767,0.0000026295045,0.0000031255963,0.000005848712,0.000003988856,0.9974739,0.00022801566,0.0020206147,0.0001824755,0.0000020907614],"about_ca_topic_score_codex":0.0051169205,"about_ca_topic_score_gemma":0.0032403958,"teacher_disagreement_score":0.0051169205,"about_ca_system_score_codex":0.0011996039,"about_ca_system_score_gemma":0.0013829654,"threshold_uncertainty_score":0.010174274},"labels":[],"label_agreement":null}]}